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") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:229ad1220364e92f045fbf562674c25f2ff0a32cc7cd38dd9f4eeef0262e8a6e
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size 496275980
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