Instructions to use sivan22/shulchan-aruch-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sivan22/shulchan-aruch-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sivan22/shulchan-aruch-classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sivan22/shulchan-aruch-classifier") model = AutoModelForSequenceClassification.from_pretrained("sivan22/shulchan-aruch-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from sivan22/shulchan-aruch-classifier: direct link, hf CLI and curl.
- Browser
- Download file 737 MB
-
https://huggingface.co/sivan22/shulchan-aruch-classifier/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://sivan22/shulchan-aruch-classifier/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/sivan22/shulchan-aruch-classifier/resolve/main/pytorch_model.bin
737 MB
- Xet hash:
- 328bb6afd013915dd3dbc0201723b40cab08d8859611c2d8bc72774732def01b
- Size of remote file:
- 737 MB
- SHA256:
- 024a83c0c7dc380955f0565597d560b1cff0ae0c711ca460758c949589c02443
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