Instructions to use MMG/roberta-base-ner-english with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MMG/roberta-base-ner-english with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="MMG/roberta-base-ner-english")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("MMG/roberta-base-ner-english") model = AutoModelForTokenClassification.from_pretrained("MMG/roberta-base-ner-english", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6f29a097dbf43666d19ac153be416a4fdaa5f2befced7d4726769beb5eda48b3
- Size of remote file:
- 496 MB
- SHA256:
- 06d96518f9c1ba67f5268bd52f6b1e9b374ad270e0a4c8af7d02d186207a1a28
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