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")# 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
- Xet hash:
- d03ae8b6b0a05b151a52cc477a17313b618db6a6226051a8722ac077bc8a93da
- Size of remote file:
- 496 MB
- SHA256:
- ad8f56f5ad449dbd57ab38dae534ec652d4217cdb901ae56646a8c37352b48d5
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