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Sentence Transformers

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In the following you find models tuned to be used for sentence / text embedding generation. They can be used with the sentence-transformers package.

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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 then use the save_to_hub function within the Sentence Transformers library.

    from sentence_transformers import save_to_hub
    save_to_hub(repo_name = 'cool_new_model')