Instructions to use Aimlab/Roberta-Base-NER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Aimlab/Roberta-Base-NER with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Aimlab/Roberta-Base-NER")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Aimlab/Roberta-Base-NER") model = AutoModelForTokenClassification.from_pretrained("Aimlab/Roberta-Base-NER") - Notebooks
- Google Colab
- Kaggle
Upload training_args.bin
Browse files- training_args.bin +3 -0
training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:57f3b5d713507fd2c8258770d99f3b8f779dfe6a8d2857507a5c1f2ffa7a2184
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size 3311
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