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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 28bb2204f5acfe88c76a42b23b4528628acafe5274599c32f5c01373f7ece2eb
- Size of remote file:
- 431 MB
- SHA256:
- d9c054814f86fbea17df319068f19a3cfac195a6944c6e24ce9f31cb373e78e9
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