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:
- 291471a5e3367cc0d862e9c1360a9c7a359f52ed33afd57accb674b83a392ab7
- Size of remote file:
- 2.49 kB
- SHA256:
- ee83cfaf36585c3e9623fa6f76b012ce86414fb450f07177700519ca3f856a96
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.