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Sentence Transformers

university
https://www.SBERT.net
nreimers

Research interests

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

Team members 2

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

spaces 1

models 124