Update spaCy pipeline

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Files changed (14) hide show

README.md +21 -21
accuracy.json +153 -158
config.cfg +54 -26
de_dep_news_trf-any-py3-none-any.whl +2 -2
lemmatizer/cfg +449 -431
lemmatizer/model +2 -2
lemmatizer/trees +0 -0
meta.json +158 -163
morphologizer/model +2 -2
parser/model +2 -2
tagger/model +2 -2
transformer/cfg +1 -1
transformer/model +2 -2
vocab/strings.json +2 -2

README.md CHANGED Viewed

@@ -14,59 +14,59 @@ model-index:
     metrics:
     - name: TAG (XPOS) Accuracy
       type: accuracy
-      value: 0.9905775076
   - task:
       name: POS
       type: token-classification
     metrics:
     - name: POS (UPOS) Accuracy
       type: accuracy
-      value: 0.9914628183
   - task:
       name: MORPH
       type: token-classification
     metrics:
     - name: Morph (UFeats) Accuracy
       type: accuracy
-      value: 0.9700866279
   - task:
       name: LEMMA
       type: token-classification
     metrics:
     - name: Lemma Accuracy
       type: accuracy
-      value: 0.9872611465
   - task:
       name: UNLABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Unlabeled Attachment Score (UAS)
       type: f_score
-      value: 0.9592566441
   - task:
       name: LABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Labeled Attachment Score (LAS)
       type: f_score
-      value: 0.9484326996
   - task:
       name: SENTS
       type: token-classification
     metrics:
     - name: Sentences F-Score
       type: f_score
-      value: 0.9797854785
 ---
 ### Details: https://spacy.io/models/de#de_dep_news_trf
-German transformer pipeline (bert-base-german-cased). Components: transformer, tagger, morphologizer, parser, lemmatizer (trainable_lemmatizer).
 | Feature | Description |
 | --- | --- |
 | **Name** | `de_dep_news_trf` |
-| **Version** | `3.6.1` |
-| **spaCy** | `>=3.6.0,<3.7.0` |
 | **Default Pipeline** | `transformer`, `tagger`, `morphologizer`, `parser`, `lemmatizer`, `attribute_ruler` |
 | **Components** | `transformer`, `tagger`, `morphologizer`, `parser`, `lemmatizer`, `attribute_ruler` |
 | **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
@@ -96,15 +96,15 @@ German transformer pipeline (bert-base-german-cased). Components: transformer, t
 | `TOKEN_P` | 99.92 |
 | `TOKEN_R` | 99.90 |
 | `TOKEN_F` | 99.91 |
-| `TAG_ACC` | 99.06 |
-| `POS_ACC` | 99.15 |
 | `MORPH_ACC` | 97.01 |
-| `MORPH_MICRO_P` | 98.86 |
-| `MORPH_MICRO_R` | 98.84 |
-| `MORPH_MICRO_F` | 98.85 |
-| `SENTS_P` | 97.80 |
-| `SENTS_R` | 98.16 |
-| `SENTS_F` | 97.98 |
-| `DEP_UAS` | 95.93 |
-| `DEP_LAS` | 94.84 |
-| `LEMMA_ACC` | 98.73 |

     metrics:
     - name: TAG (XPOS) Accuracy
       type: accuracy
+      value: 0.9907095376
   - task:
       name: POS
       type: token-classification
     metrics:
     - name: POS (UPOS) Accuracy
       type: accuracy
+      value: 0.9917734358
   - task:
       name: MORPH
       type: token-classification
     metrics:
     - name: Morph (UFeats) Accuracy
       type: accuracy
+      value: 0.9700601968
   - task:
       name: LEMMA
       type: token-classification
     metrics:
     - name: Lemma Accuracy
       type: accuracy
+      value: 0.9872479319
   - task:
       name: UNLABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Unlabeled Attachment Score (UAS)
       type: f_score
+      value: 0.958309546
   - task:
       name: LABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Labeled Attachment Score (LAS)
       type: f_score
+      value: 0.9473953052
   - task:
       name: SENTS
       type: token-classification
     metrics:
     - name: Sentences F-Score
       type: f_score
+      value: 0.9789517128
 ---
 ### Details: https://spacy.io/models/de#de_dep_news_trf
+German transformer pipeline (Transformer(name='bert-base-german-cased', piece_encoder='bert-wordpiece', stride=136, type='bert', width=768, window=176, vocab_size=30000)). Components: transformer, tagger, morphologizer, parser, lemmatizer (trainable_lemmatizer).
 | Feature | Description |
 | --- | --- |
 | **Name** | `de_dep_news_trf` |
+| **Version** | `3.7.2` |
+| **spaCy** | `>=3.7.0,<3.8.0` |
 | **Default Pipeline** | `transformer`, `tagger`, `morphologizer`, `parser`, `lemmatizer`, `attribute_ruler` |
 | **Components** | `transformer`, `tagger`, `morphologizer`, `parser`, `lemmatizer`, `attribute_ruler` |
 | **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
 | `TOKEN_P` | 99.92 |
 | `TOKEN_R` | 99.90 |
 | `TOKEN_F` | 99.91 |
+| `TAG_ACC` | 99.07 |
+| `POS_ACC` | 99.18 |
 | `MORPH_ACC` | 97.01 |
+| `MORPH_MICRO_P` | 98.85 |
+| `MORPH_MICRO_R` | 98.87 |
+| `MORPH_MICRO_F` | 98.86 |
+| `SENTS_P` | 97.75 |
+| `SENTS_R` | 98.04 |
+| `SENTS_F` | 97.90 |
+| `DEP_UAS` | 95.83 |
+| `DEP_LAS` | 94.74 |
+| `LEMMA_ACC` | 98.72 |

accuracy.json CHANGED Viewed

@@ -3,67 +3,67 @@
   "token_p": 0.9991808044,
   "token_r": 0.9990356034,
   "token_f": 0.9991081986,
-  "tag_acc": 0.9905775076,
-  "pos_acc": 0.9914628183,
-  "morph_acc": 0.9700866279,
-  "morph_micro_p": 0.9886266605,
-  "morph_micro_r": 0.9884199706,
-  "morph_micro_f": 0.9885233048,
   "morph_per_feat": {
     "Case": {
-      "p": 0.9763482571,
-      "r": 0.9779552629,
-      "f": 0.9771510993
     },
     "Definite": {
-      "p": 0.9996579637,
-      "r": 1.0,
-      "f": 0.9998289526
     },
     "Gender": {
-      "p": 0.9848792598,
-      "r": 0.9853240009,
-      "f": 0.9851015801
     },
     "Number": {
-      "p": 0.9918825162,
-      "r": 0.9934908501,
-      "f": 0.9926860317
     },
     "PronType": {
-      "p": 0.9982142857,
       "r": 0.9971620855,
-      "f": 0.9976879082
     },
     "Degree": {
-      "p": 0.9956001408,
-      "r": 0.9874323617,
-      "f": 0.9914994304
     },
     "VerbForm": {
-      "p": 0.9950717806,
-      "r": 0.9973155804,
-      "f": 0.996192417
     },
     "Mood": {
-      "p": 0.9897197811,
-      "r": 0.9897197811,
-      "f": 0.9897197811
     },
     "Person": {
-      "p": 0.9991712707,
-      "r": 0.9991712707,
-      "f": 0.9991712707
     },
     "Tense": {
-      "p": 0.9973382133,
-      "r": 0.9973382133,
-      "f": 0.9973382133
     },
     "Reflex": {
-      "p": 0.9976359338,
-      "r": 1.0,
-      "f": 0.998816568
     },
     "Poss": {
       "p": 1.0,
@@ -71,66 +71,66 @@
       "f": 1.0
     },
     "Foreign": {
-      "p": 0.7647058824,
-      "r": 0.1959798995,
-      "f": 0.312
     }
   },
-  "sents_p": 0.9779699403,
-  "sents_r": 0.9816077702,
-  "sents_f": 0.9797854785,
-  "dep_uas": 0.9592566441,
-  "dep_las": 0.9484326996,
   "dep_las_per_type": {
     "cp": {
-      "p": 0.9908256881,
-      "r": 0.987202925,
-      "f": 0.989010989
     },
     "nk": {
-      "p": 0.9891317621,
-      "r": 0.9895748493,
-      "f": 0.9893532561
     },
     "sb": {
-      "p": 0.9767034507,
-      "r": 0.9780740221,
-      "f": 0.9773882559
     },
     "ag": {
-      "p": 0.9764125069,
-      "r": 0.9839690437,
-      "f": 0.9801762115
     },
     "mnr": {
-      "p": 0.8712352684,
-      "r": 0.8390079865,
-      "f": 0.8548179872
     },
     "mo": {
-      "p": 0.86918429,
-      "r": 0.8730528019,
-      "f": 0.8711142511
     },
     "oc": {
-      "p": 0.9640071986,
-      "r": 0.9674894642,
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     },
     "root": {
-      "p": 0.9857936998,
-      "r": 0.9894606324,
-      "f": 0.9876237624
     },
     "rc": {
-      "p": 0.8392857143,
-      "r": 0.8430493274,
-      "f": 0.841163311
     },
     "op": {
-      "p": 0.8259629101,
-      "r": 0.8628912072,
-      "f": 0.8440233236
     },
     "pm": {
       "p": 1.0,
@@ -138,84 +138,89 @@
       "f": 1.0
     },
     "nmc": {
-      "p": 0.9888178914,
-      "r": 0.9778830964,
-      "f": 0.9833200953
     },
     "oa": {
-      "p": 0.9628411707,
       "r": 0.9656992084,
-      "f": 0.9642680718
     },
     "pd": {
-      "p": 0.9203125,
-      "r": 0.8661764706,
-      "f": 0.8924242424
     },
     "ep": {
-      "p": 0.9453125,
-      "r": 0.9097744361,
-      "f": 0.9272030651
     },
     "cd": {
-      "p": 0.9356499356,
-      "r": 0.9392764858,
-      "f": 0.9374597034
     },
     "cj": {
-      "p": 0.9112627986,
       "r": 0.9215976331,
-      "f": 0.9164010787
     },
     "par": {
-      "p": 0.5279503106,
-      "r": 0.4166666667,
-      "f": 0.4657534247
     },
     "svp": {
-      "p": 0.9766990291,
-      "r": 0.9673076923,
-      "f": 0.9719806763
     },
     "pg": {
-      "p": 0.9220779221,
-      "r": 0.9044585987,
-      "f": 0.9131832797
     },
     "da": {
-      "p": 0.9153439153,
-      "r": 0.8804071247,
-      "f": 0.897535668
     },
     "app": {
-      "p": 0.81,
-      "r": 0.8181818182,
-      "f": 0.8140703518
     },
     "ac": {
-      "p": 0.9565217391,
-      "r": 0.9401709402,
-      "f": 0.9482758621
     },
     "pnc": {
-      "p": 0.9025710419,
-      "r": 0.8662337662,
-      "f": 0.8840291584
     },
     "ju": {
-      "p": 0.93,
-      "r": 0.9393939394,
-      "f": 0.9346733668
     },
     "ng": {
-      "p": 0.8839050132,
-      "r": 0.8909574468,
-      "f": 0.8874172185
     },
     "re": {
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-      "r": 0.8273809524,
-      "f": 0.824925816
     },
     "dep": {
       "p": 0.0,
@@ -223,44 +228,39 @@
       "f": 0.0
     },
     "cm": {
-      "p": 0.9661835749,
-      "r": 0.9615384615,
-      "f": 0.9638554217
     },
     "cc": {
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-      "r": 0.7135678392,
-      "f": 0.7434554974
     },
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-      "r": 0.9482758621,
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     },
     "uc": {
-      "p": 0.7619047619,
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-      "f": 0.6274509804
     },
     "cvc": {
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       "r": 0.7848101266,
-      "f": 0.8
     },
     "ams": {
-      "p": 0.75,
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-    },
-    "rs": {
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     },
     "ph": {
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     },
     "dm": {
       "p": 1.0,
@@ -278,21 +278,16 @@
       "f": 0.0
     },
     "og": {
-      "p": 0.4166666667,
       "r": 0.7142857143,
-      "f": 0.5263157895
-    },
-    "avc": {
-      "p": 0.0,
-      "r": 0.0,
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     },
     "adc": {
-      "p": 0.75,
       "r": 1.0,
-      "f": 0.8571428571
     }
   },
-  "lemma_acc": 0.9872611465,
-  "speed": 2933.9454548672
 }

   "token_p": 0.9991808044,
   "token_r": 0.9990356034,
   "token_f": 0.9991081986,
+  "tag_acc": 0.9907095376,
+  "pos_acc": 0.9917734358,
+  "morph_acc": 0.9700601968,
+  "morph_micro_p": 0.9885202304,
+  "morph_micro_r": 0.9886522681,
+  "morph_micro_f": 0.9885862448,
   "morph_per_feat": {
     "Case": {
+      "p": 0.9765625,
+      "r": 0.9781171582,
+      "f": 0.9773392108
     },
     "Definite": {
+      "p": 0.9997719238,
+      "r": 0.9998859489,
+      "f": 0.9998289331
     },
     "Gender": {
+      "p": 0.9843639949,
+      "r": 0.986114247,
+      "f": 0.9852383436
     },
     "Number": {
+      "p": 0.9916774552,
+      "r": 0.9936529998,
+      "f": 0.9926642446
     },
     "PronType": {
+      "p": 0.9983763598,
       "r": 0.9971620855,
+      "f": 0.9977688532
     },
     "Degree": {
+      "p": 0.9952523299,
+      "r": 0.9879560133,
+      "f": 0.9915907498
     },
     "VerbForm": {
+      "p": 0.9949646454,
+      "r": 0.9972082036,
+      "f": 0.9960851612
     },
     "Mood": {
+      "p": 0.9903862092,
+      "r": 0.990714641,
+      "f": 0.9905503979
     },
     "Person": {
+      "p": 0.998619166,
+      "r": 0.9988950276,
+      "f": 0.9987570778
     },
     "Tense": {
+      "p": 0.9966744263,
+      "r": 0.9971718516,
+      "f": 0.9969230769
     },
     "Reflex": {
+      "p": 0.9976303318,
+      "r": 0.9976303318,
+      "f": 0.9976303318
     },
     "Poss": {
       "p": 1.0,
       "f": 1.0
     },
     "Foreign": {
+      "p": 0.8333333333,
+      "r": 0.175879397,
+      "f": 0.2904564315
     }
   },
+  "sents_p": 0.9775396662,
+  "sents_r": 0.9803678446,
+  "sents_f": 0.9789517128,
+  "dep_uas": 0.958309546,
+  "dep_las": 0.9473953052,
   "dep_las_per_type": {
     "cp": {
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+      "r": 0.9835466179,
+      "f": 0.9844464776
     },
     "nk": {
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+      "r": 0.9894526796,
+      "f": 0.9892713911
     },
     "sb": {
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     "ag": {
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     "mo": {
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     "pm": {
       "p": 1.0,
       "f": 1.0
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     "nmc": {
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+      "r": 0.9826224329,
+      "f": 0.9841772152
     },
     "oa": {
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       "r": 0.9656992084,
+      "f": 0.961892247
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     "pd": {
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+      "f": 0.8893905192
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       "r": 0.9215976331,
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     "par": {
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+    },
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     "sbp": {
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+      "r": 0.9137931034,
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+      "r": 0.4333333333,
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     },
     "cvc": {
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       "r": 0.7848101266,
+      "f": 0.8104575163
     },
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+      "r": 0.8571428571,
+      "f": 0.8571428571
     },
     "dm": {
       "p": 1.0,
       "f": 0.0
     },
     "og": {
+      "p": 0.4545454545,
       "r": 0.7142857143,
+      "f": 0.5555555556
     },
     "adc": {
+      "p": 0.6,
       "r": 1.0,
+      "f": 0.75
     }
   },
+  "lemma_acc": 0.9872479319,
+  "speed": 2451.8342899914
 }

config.cfg CHANGED Viewed

@@ -17,6 +17,7 @@ after_creation = null
 after_pipeline_creation = null
 batch_size = 64
 tokenizer = {"@tokenizers":"spacy.Tokenizer.v1"}
 [components]
@@ -39,10 +40,11 @@ nO = null
 normalize = false
 [components.lemmatizer.model.tok2vec]
-@architectures = "spacy-transformers.TransformerListener.v1"
-grad_factor = 1.0
 upstream = "transformer"
 pooling = {"@layers":"reduce_mean.v1"}
 [components.morphologizer]
 factory = "morphologizer"
@@ -57,10 +59,11 @@ nO = null
 normalize = false
 [components.morphologizer.model.tok2vec]
-@architectures = "spacy-transformers.TransformerListener.v1"
-grad_factor = 1.0
 upstream = "transformer"
 pooling = {"@layers":"reduce_mean.v1"}
 [components.parser]
 factory = "parser"
@@ -80,10 +83,11 @@ use_upper = false
 nO = null
 [components.parser.model.tok2vec]
-@architectures = "spacy-transformers.TransformerListener.v1"
-grad_factor = 1.0
 upstream = "transformer"
 pooling = {"@layers":"reduce_mean.v1"}
 [components.tagger]
 factory = "tagger"
@@ -98,32 +102,44 @@ nO = null
 normalize = false
 [components.tagger.model.tok2vec]
-@architectures = "spacy-transformers.TransformerListener.v1"
-grad_factor = 1.0
 upstream = "transformer"
 pooling = {"@layers":"reduce_mean.v1"}
 [components.transformer]
-factory = "transformer"
-max_batch_items = 4096
-set_extra_annotations = {"@annotation_setters":"spacy-transformers.null_annotation_setter.v1"}
 [components.transformer.model]
-name = "bert-base-german-cased"
-@architectures = "spacy-transformers.TransformerModel.v3"
 mixed_precision = false
-[components.transformer.model.get_spans]
-@span_getters = "spacy-transformers.strided_spans.v1"
-window = 128
-stride = 96
 [components.transformer.model.grad_scaler_config]
-[components.transformer.model.tokenizer_config]
-use_fast = true
-[components.transformer.model.transformer_config]
 [corpora]
@@ -160,11 +176,11 @@ annotating_components = []
 before_update = null
 [training.batcher]
-@batchers = "spacy.batch_by_padded.v1"
-discard_oversize = true
-get_length = null
 size = 2000
-buffer = 256
 [training.logger]
 @loggers = "spacy.ConsoleLogger.v1"
@@ -242,6 +258,18 @@ require = false
 path = "corpus/labels/tagger.json"
 require = false
 [initialize.lookups]
 @misc = "spacy.LookupsDataLoader.v1"
 lang = ${nlp.lang}

 after_pipeline_creation = null
 batch_size = 64
 tokenizer = {"@tokenizers":"spacy.Tokenizer.v1"}
+vectors = {"@vectors":"spacy.Vectors.v1"}
 [components]
 normalize = false
 [components.lemmatizer.model.tok2vec]
+@architectures = "spacy-curated-transformers.LastTransformerLayerListener.v1"
+width = ${components.transformer.model.hidden_width}
 upstream = "transformer"
 pooling = {"@layers":"reduce_mean.v1"}
+grad_factor = 1.0
 [components.morphologizer]
 factory = "morphologizer"
 normalize = false
 [components.morphologizer.model.tok2vec]
+@architectures = "spacy-curated-transformers.LastTransformerLayerListener.v1"
+width = ${components.transformer.model.hidden_width}
 upstream = "transformer"
 pooling = {"@layers":"reduce_mean.v1"}
+grad_factor = 1.0
 [components.parser]
 factory = "parser"
 nO = null
 [components.parser.model.tok2vec]
+@architectures = "spacy-curated-transformers.LastTransformerLayerListener.v1"
+width = ${components.transformer.model.hidden_width}
 upstream = "transformer"
 pooling = {"@layers":"reduce_mean.v1"}
+grad_factor = 1.0
 [components.tagger]
 factory = "tagger"
 normalize = false
 [components.tagger.model.tok2vec]
+@architectures = "spacy-curated-transformers.LastTransformerLayerListener.v1"
+width = ${components.transformer.model.hidden_width}
 upstream = "transformer"
 pooling = {"@layers":"reduce_mean.v1"}
+grad_factor = 1.0
 [components.transformer]
+factory = "curated_transformer"
+all_layer_outputs = false
+frozen = false
 [components.transformer.model]
+@architectures = "spacy-curated-transformers.BertTransformer.v1"
+vocab_size = 30000
+hidden_width = 768
+piece_encoder = {"@architectures":"spacy-curated-transformers.BertWordpieceEncoder.v1"}
+attention_probs_dropout_prob = 0.1
+hidden_act = "gelu"
+hidden_dropout_prob = 0.1
+intermediate_width = 3072
+layer_norm_eps = 0.0
+max_position_embeddings = 512
+model_max_length = 512
+num_attention_heads = 12
+num_hidden_layers = 12
+padding_idx = 0
+type_vocab_size = 2
+torchscript = false
 mixed_precision = false
+wrapped_listener = null
 [components.transformer.model.grad_scaler_config]
+[components.transformer.model.with_spans]
+@architectures = "spacy-curated-transformers.WithStridedSpans.v1"
+stride = 136
+window = 176
+batch_size = 384
 [corpora]
 before_update = null
 [training.batcher]
+@batchers = "spacy.batch_by_words.v1"
+discard_oversize = false
 size = 2000
+tolerance = 0.2
+get_length = null
 [training.logger]
 @loggers = "spacy.ConsoleLogger.v1"
 path = "corpus/labels/tagger.json"
 require = false
+[initialize.components.transformer]
+[initialize.components.transformer.encoder_loader]
+@model_loaders = "spacy-curated-transformers.HFTransformerEncoderLoader.v1"
+name = "bert-base-german-cased"
+revision = "main"
+[initialize.components.transformer.piecer_loader]
+@model_loaders = "spacy-curated-transformers.HFPieceEncoderLoader.v1"
+name = "bert-base-german-cased"
+revision = "main"
 [initialize.lookups]
 @misc = "spacy.LookupsDataLoader.v1"
 lang = ${nlp.lang}

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