Instructions to use Anish13/results_model5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Anish13/results_model5 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Anish13/results_model5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 60fd609118a6d2fd8f170f99f1ba5bdc9390603f21c3c02b471a31b8745083da
- Size of remote file:
- 5.11 kB
- SHA256:
- d37b3f5d3a69e86ac3302cbc767bed886d067c692cbaf76c7999649648205c2d
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