Instructions to use MutazYoune/bert-base-AE-NER_pun with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MutazYoune/bert-base-AE-NER_pun with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="MutazYoune/bert-base-AE-NER_pun")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("MutazYoune/bert-base-AE-NER_pun") model = AutoModelForTokenClassification.from_pretrained("MutazYoune/bert-base-AE-NER_pun", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from MutazYoune/bert-base-AE-NER_pun: direct link, hf CLI and curl.
- Browser
- Download file 712 kB
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https://huggingface.co/MutazYoune/bert-base-AE-NER_pun/resolve/main/tokenizer.json
- Command line
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hf download hf://MutazYoune/bert-base-AE-NER_pun/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/MutazYoune/bert-base-AE-NER_pun/resolve/main/tokenizer.json
712 kB
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