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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aabd3a2ded8e6dc35e5236a97b4e6e391e967f37350f84e4100b56aba660cd3e
- Size of remote file:
- 3.31 kB
- SHA256:
- 57f3b5d713507fd2c8258770d99f3b8f779dfe6a8d2857507a5c1f2ffa7a2184
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