Instructions to use ilhkn/OTHER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use ilhkn/OTHER with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("ilhkn/OTHER") 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 ilhkn/OTHER with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("ilhkn/OTHER") 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 ilhkn/OTHER: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/ilhkn/OTHER/resolve/refs%2Fpr%2F1/pytorch_model.bin
- Command line
-
hf download hf://ilhkn/OTHER@refs/pr/1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ilhkn/OTHER/resolve/refs%2Fpr%2F1/pytorch_model.bin
438 MB
- Xet hash:
- 2656e795160afed41d196c115e6404668fb136ac0c098a8216c082636ba97ac8
- Size of remote file:
- 438 MB
- SHA256:
- da5e93213e650cfaeae48e0e528f6e9c50b7ca34665aeda4973ec0ee63ce8921
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