Automatic Speech Recognition
Adapters
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Not-For-All-Audiences
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---
license: wtfpl
datasets:
- HuggingFaceFW/fineweb-2
- code-search-net/code_search_net
- MAsad789565/Coding_GPT4_Data
- Aratako/Synthetic-JP-EN-Coding-Dataset-801k
- CohereForAI/Global-MMLU
- q21/embeddings1_autogpt
- cognitivecomputations/open-instruct-uncensored
- MoritzLaurer/synthetic_zeroshot_mixtral_v0.1
- Kicel/bitcoin-data
- prsdm/Machine-Learning-QA-dataset
- AI-Secure/DecodingTrust
- tumeteor/Security-TTP-Mapping
- CyberNative/Code_Vulnerability_Security_DPO
- clouditera/security-paper-datasets
- raft-security-lab/strongrejectPlusPlus
- pAILabs/infosec-security-qa
- Nitral-AI/Cybersecurity-ShareGPT
- cfahlgren1/react-code-instructions
- Xkev/LLaVA-CoT-100k
- O1-OPEN/OpenO1-SFT
- PowerInfer/QWQ-LONGCOT-500K
- OpenLeecher/lmsys_chat_1m_clean
- HuggingFaceTB/finemath
- flytech/python-codes-25k
language:
- en
- ru
base_model:
- Opensourced/wormgpt-24
- black-forest-labs/FLUX.1-dev
- mistralai/Mixtral-8x7B-v0.1
- ZySec-AI/SecurityLLM
- WhiteRabbitNeo/WhiteRabbitNeo-13B-v1
- deepseek-ai/DeepSeek-V3
- deepseek-ai/DeepSeek-V3-Base
- Alibaba-Research-Intelligence-Computing/Tora
- Aaryan-Nakhat/experiment-45-intelligent-layer-2-plus-exp-39-data
tags:
- code
- not-for-all-audiences
metrics:
- accuracy
- hage2000/code_eval_stdio
- code_eval
library_name: adapter-transformers
pipeline_tag: automatic-speech-recognition
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. --> my personal assistant to integrate with
This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).
## Model Details
### Model Description
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- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Information Needed]
- **Language(s) (NLP):** [More Information Needed]
- **License:** [More Information Needed]
- **Finetuned from model [optional]:** [More Information Needed]
### Model Sources [optional]
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- **Repository:** [More Information Needed]
- **Paper [optional]:** [More Information Needed]
- **Demo [optional]:** [More Information Needed]
## Uses
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### Direct Use
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[More Information Needed]
### Downstream Use [optional]
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### Out-of-Scope Use
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## Bias, Risks, and Limitations
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### Recommendations
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
## How to Get Started with the Model
Use the code below to get started with the model.
[More Information Needed]
## Training Details
### Training Data
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[More Information Needed]
### Training Procedure
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#### Preprocessing [optional]
[More Information Needed]
#### Training Hyperparameters
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
#### Speeds, Sizes, Times [optional]
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
[More Information Needed]
## Evaluation
<!-- This section describes the evaluation protocols and provides the results. -->
### Testing Data, Factors & Metrics
#### Testing Data
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[More Information Needed]
#### Factors
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
[More Information Needed]
#### Metrics
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
[More Information Needed]
### Results
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#### Summary
## Model Examination [optional]
<!-- Relevant interpretability work for the model goes here -->
[More Information Needed]
## Environmental Impact
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
- **Hardware Type:** [More Information Needed]
- **Hours used:** [More Information Needed]
- **Cloud Provider:** [More Information Needed]
- **Compute Region:** [More Information Needed]
- **Carbon Emitted:** [More Information Needed]
## Technical Specifications [optional]
### Model Architecture and Objective
[More Information Needed]
### Compute Infrastructure
[More Information Needed]
#### Hardware
[More Information Needed]
#### Software
[More Information Needed]
## Citation [optional]
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
**BibTeX:**
[More Information Needed]
**APA:**
[More Information Needed]
## Glossary [optional]
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
[More Information Needed]
## More Information [optional]
[More Information Needed]
## Model Card Authors [optional]
[More Information Needed]
## Model Card Contact
[More Information Needed]