Instructions to use EmnaBou/bert-finetuned-DT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EmnaBou/bert-finetuned-DT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="EmnaBou/bert-finetuned-DT")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("EmnaBou/bert-finetuned-DT") model = AutoModelForTokenClassification.from_pretrained("EmnaBou/bert-finetuned-DT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 44b4a64cffac649ba5ace031d80ac0285473aa88f32bbef1f470c0bf9f108707
- Size of remote file:
- 3.38 kB
- SHA256:
- 8d18ad63bbf7cada131eb6330557b1e5fd68e8f0bcf86ac78eab995e6a856e88
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