Instructions to use sivan22/halacha-siman-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sivan22/halacha-siman-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sivan22/halacha-siman-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sivan22/halacha-siman-classifier") model = AutoModelForSequenceClassification.from_pretrained("sivan22/halacha-siman-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fc6d4c7004d01d98ee944e8848c022ea50568e63f9bb5e1b11b0e294ce13f8ea
- Size of remote file:
- 4.14 kB
- SHA256:
- 108e8734a5d21046379797fda6fcd431fe8b839a348d943a8b2b687b19e68ad2
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