Instructions to use AnnaCarson/roberta-base-ner-demo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnnaCarson/roberta-base-ner-demo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="AnnaCarson/roberta-base-ner-demo")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("AnnaCarson/roberta-base-ner-demo") model = AutoModelForTokenClassification.from_pretrained("AnnaCarson/roberta-base-ner-demo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
End of training
Verified signature6da3ca0
-
End of training
Verified signaturef9234e4
-
End of training
Verified signature75713d0
-
End of training
Verified signature862285b
-
End of training
Verified signaturecc6ba11
-
End of training
Verified signature7673c8d
-
End of training
Verified signature80b2fa2
-
End of training
Verified signature25e7e6e
-
End of training
Verified signature1334055
-
End of training
Verified signature8f05d89 -
initial commit
Verified signature1d2f125