Instructions to use ACCORD-NLP/ner-roberta-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ACCORD-NLP/ner-roberta-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ACCORD-NLP/ner-roberta-large")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ACCORD-NLP/ner-roberta-large") model = AutoModelForTokenClassification.from_pretrained("ACCORD-NLP/ner-roberta-large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c6cfec4669bfd88d99a1755d91574edc9007ac45463776cf2ea95877737ef818
- Size of remote file:
- 1.42 GB
- SHA256:
- 72d33c7caf7a879dbfae9c28d0884cd93eb7873a0a748702ef1ed7554b847dab
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