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")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sivan22/shulchan-aruch-classifier") model = AutoModelForSequenceClassification.from_pretrained("sivan22/shulchan-aruch-classifier") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:a620ba58ec16ac1f717f399aa2f7a44987939e54ff0178b9924bfcf88dbe207e
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size 737414148
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