Instructions to use sivan22/halacha-siman-seif-classifier-new with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sivan22/halacha-siman-seif-classifier-new with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sivan22/halacha-siman-seif-classifier-new")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sivan22/halacha-siman-seif-classifier-new") model = AutoModelForSequenceClassification.from_pretrained("sivan22/halacha-siman-seif-classifier-new", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- de6026979786ca86daa5e576e0d9b3b79d573651dddb7e08010c7a4f7e7b75de
- Size of remote file:
- 4.27 kB
- SHA256:
- d8d7479339273f60623d70c8e131e5f48980dbc9662542bc64cb3114a7cbe6d9
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