Instructions to use andi611/roberta-base-ner-conll2003 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use andi611/roberta-base-ner-conll2003 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="andi611/roberta-base-ner-conll2003")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("andi611/roberta-base-ner-conll2003") model = AutoModelForTokenClassification.from_pretrained("andi611/roberta-base-ner-conll2003") - Notebooks
- Google Colab
- Kaggle
Librarian Bot: Add base_model information to model
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by librarian-bot - opened
README.md
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name: conll2003
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type: conll2003
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args: conll2003
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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name: conll2003
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type: conll2003
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args: conll2003
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base_model: roberta-base
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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