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Sentence Transformers


AI & ML 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.

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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 ❤️

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