Instructions to use skimai/spanberta-base-cased-ner-conll02 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use skimai/spanberta-base-cased-ner-conll02 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="skimai/spanberta-base-cased-ner-conll02")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("skimai/spanberta-base-cased-ner-conll02") model = AutoModelForTokenClassification.from_pretrained("skimai/spanberta-base-cased-ner-conll02") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1e6ddfcf16f862a144de0636508fe909aca36b52372bd613ddc04dd7f9b9a81f
- Size of remote file:
- 496 MB
- SHA256:
- 59e99bde72e405fa903bf92c321832ab41f58ec2b27ce9e7092faaa3de372ee1
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