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 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")