Instructions to use seed429/trained with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use seed429/trained with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("seed429/trained", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 76f35ac4f9584cd851572edfce0b9ad9379e0ea4ea5253c24c861bf948e6fdcd
- Size of remote file:
- 535 MB
- SHA256:
- 8802624f1927a71a11144e8f43374441fb6257a1ab2d3bba7cd92eb68fae59e2
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