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 pytorch_model.bin from johngiorgi/declutr-small: direct link, hf CLI and curl.
- Browser
- Download file 331 MB
-
https://huggingface.co/johngiorgi/declutr-small/resolve/578017c76391ddc8be96556cb961133ffc7ab5b3/pytorch_model.bin
- Command line
-
hf download hf://johngiorgi/declutr-small@578017c76391ddc8be96556cb961133ffc7ab5b3/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/johngiorgi/declutr-small/resolve/578017c76391ddc8be96556cb961133ffc7ab5b3/pytorch_model.bin
331 MB
- Xet hash:
- b38d807cc6a596cb7ecbfa924f571aa2243a00d3ee1f98efe9849c15790f77aa
- Size of remote file:
- 331 MB
- SHA256:
- 24ec6f98ea72be75774981da2f1f48901b34ac60756a545a7f1e3f2a95ca44c6
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.