Instructions to use tner/roberta-large-conll2003 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tner/roberta-large-conll2003 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="tner/roberta-large-conll2003")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("tner/roberta-large-conll2003") model = AutoModelForTokenClassification.from_pretrained("tner/roberta-large-conll2003") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a6a4eba7f4f9b67f82e08b5148a839b0d52f9eea5aee91a7c38e962ebe56e889
- Size of remote file:
- 1.42 GB
- SHA256:
- 95bc38d40c72bfe7a9c4b0baef96a3b470dd3d76c751cb49dc18f1e7c19cdfbe
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