Instructions to use bertin-project/bertin-base-ner-conll2002-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bertin-project/bertin-base-ner-conll2002-es with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="bertin-project/bertin-base-ner-conll2002-es")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("bertin-project/bertin-base-ner-conll2002-es") model = AutoModelForTokenClassification.from_pretrained("bertin-project/bertin-base-ner-conll2002-es", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from bertin-project/bertin-base-ner-conll2002-es: direct link, hf CLI and curl.
- Browser
- Download file 1.47 MB
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https://huggingface.co/bertin-project/bertin-base-ner-conll2002-es/resolve/main/tokenizer.json
- Command line
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hf download hf://bertin-project/bertin-base-ner-conll2002-es/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/bertin-project/bertin-base-ner-conll2002-es/resolve/main/tokenizer.json
1.47 MB
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