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")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("pawlo2013/roberta-nerc") model = AutoModelForTokenClassification.from_pretrained("pawlo2013/roberta-nerc") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 29d4b39838d331d7d2da4d5fb753d9cd9215529b641c0bac8269ec997a242892
- Size of remote file:
- 4.02 kB
- SHA256:
- cccd66a03d0113f1af9fc31c2a46f999d2176c02ba1789086132e7165b7e3ada
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