Instructions to use johngiorgi/declutr-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use johngiorgi/declutr-small with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("johngiorgi/declutr-small") sentences = [ "That is a happy person", "That is a happy dog", "That is a very happy person", "Today is a sunny day" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from johngiorgi/declutr-small: direct link, hf CLI and curl.
- Browser
- Download file 329 MB
-
https://huggingface.co/johngiorgi/declutr-small/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://johngiorgi/declutr-small/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/johngiorgi/declutr-small/resolve/main/flax_model.msgpack
329 MB
- Xet hash:
- efbb33cc78cff06879c0816c6737f2a2c79ba243683d0db07fcc82a12a9e66b6
- Size of remote file:
- 329 MB
- SHA256:
- ba5245df39b3974713f0b076c58548ac396b4e215078d7e74021ed5866ccc033
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