Instructions to use dss107/news3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use dss107/news3 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("dss107/news3") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - setfit
How to use dss107/news3 with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("dss107/news3") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from dss107/news3: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/dss107/news3/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://dss107/news3/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/dss107/news3/resolve/main/pytorch_model.bin
438 MB
- Xet hash:
- cd66932c636081b0c15b2ccfcbd948242f9809e53b5d09573c57f234f974dce0
- Size of remote file:
- 438 MB
- SHA256:
- 9bb1454e609efd975065eccdd5d6ee8cf176ca68a6ab439caa3c094fa3d9876d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.