Instructions to use Cabooose/multilingual_arabic_token_classification_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Cabooose/multilingual_arabic_token_classification_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Cabooose/multilingual_arabic_token_classification_model")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Cabooose/multilingual_arabic_token_classification_model") model = AutoModelForTokenClassification.from_pretrained("Cabooose/multilingual_arabic_token_classification_model") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 2
Browse files
pytorch_model.bin
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runs/Oct03_22-02-44_e17b35ded69f/events.out.tfevents.1696370569.e17b35ded69f.49559.0
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