Instructions to use jamesdborin/Roberta-Large-CONLL2003 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jamesdborin/Roberta-Large-CONLL2003 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="jamesdborin/Roberta-Large-CONLL2003")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("jamesdborin/Roberta-Large-CONLL2003") model = AutoModelForTokenClassification.from_pretrained("jamesdborin/Roberta-Large-CONLL2003") - Notebooks
- Google Colab
- Kaggle
File size: 135 Bytes
57b9a91 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:85924500c39d8c637b1b5872c4fef07626190b6e3e63ede54d7186c7de9f84b4
size 1417416813
|