Instructions to use MM2157/AraBERT_token_classification_merged with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MM2157/AraBERT_token_classification_merged with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="MM2157/AraBERT_token_classification_merged")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("MM2157/AraBERT_token_classification_merged") model = AutoModelForTokenClassification.from_pretrained("MM2157/AraBERT_token_classification_merged", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from MM2157/AraBERT_token_classification_merged: direct link, hf CLI and curl.
- Browser
- Download file 1.67 MB
-
https://huggingface.co/MM2157/AraBERT_token_classification_merged/resolve/main/tokenizer.json
- Command line
-
hf download hf://MM2157/AraBERT_token_classification_merged/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/MM2157/AraBERT_token_classification_merged/resolve/main/tokenizer.json
1.67 MB
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