Instructions to use johngiorgi/declutr-sci-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use johngiorgi/declutr-sci-base with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("johngiorgi/declutr-sci-base") 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-sci-base: direct link, hf CLI and curl.
- Browser
- Download file 440 MB
-
https://huggingface.co/johngiorgi/declutr-sci-base/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://johngiorgi/declutr-sci-base/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/johngiorgi/declutr-sci-base/resolve/main/flax_model.msgpack
440 MB
- Xet hash:
- acc8f120cd81725e27d088766455ce8a87afbb63c6f61a1095f4765a44a33f14
- Size of remote file:
- 440 MB
- SHA256:
- 0799d2cdf431d139b558b38d3c713239b9c518d102c936f836a7c682581c8ca9
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