Instructions to use sivan22/halacha-topic-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sivan22/halacha-topic-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sivan22/halacha-topic-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sivan22/halacha-topic-classifier") model = AutoModelForSequenceClassification.from_pretrained("sivan22/halacha-topic-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 71fe82f18147e90a48811c58baba058f12643d0a623ae2eeef26904913350063
- Size of remote file:
- 738 MB
- SHA256:
- 898372c1a207fe882573cbbd360d7eff04806729f189723036b031e36affb67b
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