Token Classification
Transformers
Safetensors
Arabic
bert
hadith
sanad
matn
hadith-separator
hadith_separator
islam
hadithBERT
Instructions to use SHK4K/hadith-segmentation-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SHK4K/hadith-segmentation-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="SHK4K/hadith-segmentation-bert")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("SHK4K/hadith-segmentation-bert") model = AutoModelForTokenClassification.from_pretrained("SHK4K/hadith-segmentation-bert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b5056976dad4c268663222b077c93a205e75468152c9198cb9ad2006b48decd7
- Size of remote file:
- 5.14 kB
- SHA256:
- 55d811028126193d8640eedee95c92d2b57305715be0bf673479e0660f1b9f18
ยท
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