Instructions to use ppak10/defect-classification-scibert-baseline-15-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-15-epochs with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ppak10/defect-classification-scibert-baseline-15-epochs", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ppak10/defect-classification-scibert-baseline-15-epochs: direct link, hf CLI and curl.
- Browser
- Download file 5.37 kB
-
https://huggingface.co/ppak10/defect-classification-scibert-baseline-15-epochs/resolve/main/training_args.bin
- Command line
-
hf download hf://ppak10/defect-classification-scibert-baseline-15-epochs/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ppak10/defect-classification-scibert-baseline-15-epochs/resolve/main/training_args.bin
5.37 kB
- Xet hash:
- 7866a7bb111b40495f0f9ca1020282869c22cddddc91e9d2015f012918687c21
- Size of remote file:
- 5.37 kB
- SHA256:
- e95622009944d8f821b18bd82f952a463ade30d3f51e0458ec1d596b23e44d6c
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