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:
- f42c778da46568d20b0304555beeca2396a374a2c7d1dcfe7b7a61132b443af1
- Size of remote file:
- 33.6 MB
- SHA256:
- 4422075f0ac805ae31ae34c7e9fee8d1dbe7239a3b3711f348ce49f095851b9f
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