Instructions to use Cabooose/specific_arabic_language_token_classification_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Cabooose/specific_arabic_language_token_classification_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Cabooose/specific_arabic_language_token_classification_model")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Cabooose/specific_arabic_language_token_classification_model") model = AutoModelForTokenClassification.from_pretrained("Cabooose/specific_arabic_language_token_classification_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3381a73387a4f86acf8afdd6f29723335770cc4677ddca8318e13b275bacc1b1
- Size of remote file:
- 434 MB
- SHA256:
- 3f622c4772931c1075853dfc9c252ccf3a4f6b18897aadcf84be161112a3583b
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