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 special_tokens_map.json from bertin-project/bertin-base-ner-conll2002-es: direct link, hf CLI and curl.
- Browser
- Download file 239 Bytes
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https://huggingface.co/bertin-project/bertin-base-ner-conll2002-es/resolve/main/special_tokens_map.json
- Command line
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hf download hf://bertin-project/bertin-base-ner-conll2002-es/special_tokens_map.json
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curl -L -o special_tokens_map.json https://huggingface.co/bertin-project/bertin-base-ner-conll2002-es/resolve/main/special_tokens_map.json
239 Bytes
| {"bos_token": "<s>", "eos_token": "</s>", "unk_token": "<unk>", "sep_token": "</s>", "pad_token": "<pad>", "cls_token": "<s>", "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": false, "normalized": false}} |