Instructions to use Anish13/results_model8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Anish13/results_model8 with Transformers:
# Load model directly from transformers import TransformerNet model = TransformerNet.from_pretrained("Anish13/results_model8", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 119fabdb3d72a2c55d75394e5e78cb29975a8e9e04f0068828bcc18a907d8c57
- Size of remote file:
- 5.11 kB
- SHA256:
- e9d1f0b56e7ee9a45cd041c731c8ea2ff9d2fb818348ccc86eb90faf2bc51b6f
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