Instructions to use sivan22/halacha-siman-seif-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sivan22/halacha-siman-seif-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sivan22/halacha-siman-seif-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sivan22/halacha-siman-seif-classifier") model = AutoModelForSequenceClassification.from_pretrained("sivan22/halacha-siman-seif-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 53820593338286803328503c532a58e9b1c5cc07490afecb4179bf57aa264888
- Size of remote file:
- 4.14 kB
- SHA256:
- ade0af339725d2189c727d75dffbd35239f5df8d27723075e5de3ec9aeee965e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.