Instructions to use Anish13/junk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Anish13/junk with Transformers:
# Load model directly from transformers import Transformer model = Transformer.from_pretrained("Anish13/junk", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c987ab8b9f781ca5f6aa1fce9eb98d33c1d1b8ebab7e1441b3ba53c45cb59fdb
- Size of remote file:
- 5.11 kB
- SHA256:
- 59f5bc51a6f9c3d21eb1957d594b098aa6c474540f980f553c7d3f1713f307b3
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