Instructions to use AfnanTS/ARBERTv2_EntityLinking with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AfnanTS/ARBERTv2_EntityLinking with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="AfnanTS/ARBERTv2_EntityLinking")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("AfnanTS/ARBERTv2_EntityLinking") model = AutoModelForTokenClassification.from_pretrained("AfnanTS/ARBERTv2_EntityLinking", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from AfnanTS/ARBERTv2_EntityLinking: direct link, hf CLI and curl.
- Browser
- Download file 2.76 MB
-
https://huggingface.co/AfnanTS/ARBERTv2_EntityLinking/resolve/main/tokenizer.json
- Command line
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hf download hf://AfnanTS/ARBERTv2_EntityLinking/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/AfnanTS/ARBERTv2_EntityLinking/resolve/main/tokenizer.json
2.76 MB
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