Instructions to use jaggernaut007/roberta-base-biomedical-clinical-es-finetuned-ner-CRAFT_AugmentedTransfer_ES-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jaggernaut007/roberta-base-biomedical-clinical-es-finetuned-ner-CRAFT_AugmentedTransfer_ES-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="jaggernaut007/roberta-base-biomedical-clinical-es-finetuned-ner-CRAFT_AugmentedTransfer_ES-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("jaggernaut007/roberta-base-biomedical-clinical-es-finetuned-ner-CRAFT_AugmentedTransfer_ES-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("jaggernaut007/roberta-base-biomedical-clinical-es-finetuned-ner-CRAFT_AugmentedTransfer_ES-finetuned-ner") - Notebooks
- Google Colab
- Kaggle
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