Instructions to use deepachalapathi/without_questions_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use deepachalapathi/without_questions_2 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("deepachalapathi/without_questions_2") 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 deepachalapathi/without_questions_2 with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("deepachalapathi/without_questions_2") preds = model.predict(["i loved the spiderman movie!", "pineapple on pizza is the worst"]) print(preds) - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from deepachalapathi/without_questions_2: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/deepachalapathi/without_questions_2/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://deepachalapathi/without_questions_2/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/deepachalapathi/without_questions_2/resolve/main/pytorch_model.bin
438 MB
- Xet hash:
- 85dded6e696901e3a7f97de70997ed6826bf9ed5b532b7421b74aaa738b8fe26
- Size of remote file:
- 438 MB
- SHA256:
- 9e638ed56623a704e8d25bce1645521e568fee697256e358e38b8db8ad0f8dd8
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