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:
- 6f97ca5173387584b7e9cb8d9bdccf29b3b6a59f25c2eb3a01b0a1cb8f4f88be
- Size of remote file:
- 1.42 GB
- SHA256:
- 25de4402a9051fc455e281bac160fd20d206f45fc6b48f16ce0c802e8c81a085
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