Instructions to use nanopass/test-model-fe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use nanopass/test-model-fe with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("nanopass/test-model-fe") 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] - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from nanopass/test-model-fe: direct link, hf CLI and curl.
- Browser
- Download file 90.9 MB
-
https://huggingface.co/nanopass/test-model-fe/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://nanopass/test-model-fe/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/nanopass/test-model-fe/resolve/main/pytorch_model.bin
90.9 MB
- Xet hash:
- 89fe803c45ab31973f21efbba7c9bff48e4affb35bfd5dabb65d748ce01f8cfc
- Size of remote file:
- 90.9 MB
- SHA256:
- df507ec1743de52aa0a1b401183c5fd8ca18e846689421ea6c94cae014d9b26b
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