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 training_args.bin from sivan22/shulchan-aruch-classifier: direct link, hf CLI and curl.
- Browser
- Download file 4.03 kB
-
https://huggingface.co/sivan22/shulchan-aruch-classifier/resolve/main/training_args.bin
- Command line
-
hf download hf://sivan22/shulchan-aruch-classifier/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/sivan22/shulchan-aruch-classifier/resolve/main/training_args.bin
4.03 kB
- Xet hash:
- f509406527a8a2ab21d1d0fe200ddffcd448ade9f63c9c81a85554c90df4845a
- Size of remote file:
- 4.03 kB
- SHA256:
- 36e73c714c158b45d173ea5d70f488600e7c204d2632f0507baaff8d5bbca360
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