Instructions to use Prasann15479/sec_train_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Prasann15479/sec_train_model with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Prasann15479/sec_train_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3f12e27ae0208a3ac5df832f77abd6294310e5521f1ba97d524ba5950f1a3a51
- Size of remote file:
- 11.4 MB
- SHA256:
- 51e198c77d76daf3f759c3c60497dd6ad293c59d59acc12f2efa9ead002fa802
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