README.md

metadata

title: README
emoji: ❤️
colorFrom: red
colorTo: red
sdk: static
pinned: false

SentenceTransformers 🤗 is a Python framework for state-of-the-art sentence, text and image embeddings.

Install the Sentence Transformers library.

pip install -U sentence-transformers

The usage is as simple as:

from sentence_transformers import SentenceTransformer
model = SentenceTransformer('paraphrase-MiniLM-L6-v2')

# Sentences we want to encode. Example:
sentence = ['This framework generates embeddings for each input sentence']

# Sentences are encoded by calling model.encode()
embedding = model.encode(sentence)

Hugging Face makes it easy to collaboratively build and showcase your Sentence Transformers models! You can collaborate with your organization, upload and showcase your own models in your profile ❤️

Documentation

Push your Sentence Transformers models to the Hub ❤️

Find all Sentence Transformers models on the 🤗 Hub

To upload your Sentence Transformers models to the Hugging Face Hub, log in with huggingface-cli login and use the save_to_hub method within the Sentence Transformers library.

from sentence_transformers import SentenceTransformer

# Load or train a model
model = SentenceTransformer(...)
# Push to Hub
model.push_to_hub("my_new_model")