Instructions to use pawlo2013/roberta-nerc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pawlo2013/roberta-nerc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="pawlo2013/roberta-nerc")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("pawlo2013/roberta-nerc") model = AutoModelForTokenClassification.from_pretrained("pawlo2013/roberta-nerc", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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Simple finetuned RoBERTA for NERC(Named Entity Recognitiona and Classification) task.
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Simple finetuned RoBERTA for NERC(Named Entity Recognitiona and Classification) task.
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The model was finetuned for the Text Mining course at Vrije Universieit Amsterdam in 2024.
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