Instructions to use ppak10/defect-classification-scibert-baseline-10-epochs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ppak10/defect-classification-scibert-baseline-10-epochs with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ppak10/defect-classification-scibert-baseline-10-epochs", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9f743f8ee768f95cf46b81a4f024cc0f5079a1762d520f3df986650c82782c3d
- Size of remote file:
- 440 MB
- SHA256:
- 43bb000f47dfe3d6fa7766d644f3d132fdf286269578f224df945b9e6f8e5987
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