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:
- c532159aaa02b67b65911bc0e2f6a516acfaaa5b57c9c641a92aa37833a5c0e9
- Size of remote file:
- 3.64 kB
- SHA256:
- 093e612f924b787ac5c22fc32bd95626f25055bc98fb8c5d92181dc7edea9ffe
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