Instructions to use Anish13/dev_results_model8_new with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Anish13/dev_results_model8_new with Transformers:
# Load model directly from transformers import TransformerNet model = TransformerNet.from_pretrained("Anish13/dev_results_model8_new", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cb404a157a3e9f2d7867e1e98404f08666916cb36c73d1be0e7ebbd4e479a7e0
- Size of remote file:
- 5.11 kB
- SHA256:
- b4c0b3e03b37b90d0dc1ac08dfb50f43f5f5af5e0fe9573c4abc2303c01fac13
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