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:
- a0d84346123d0173113595dd37ec79e94e7a4100d8882f4f620047ffffb46aed
- Size of remote file:
- 2.74 kB
- SHA256:
- 38809d0551f7e7d28187722f88870e0f68e199a69d8cbb477c71a26acf59dec6
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