Instructions to use transZ/tforge_v1.9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use transZ/tforge_v1.9 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("transZ/tforge_v1.9", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 20c2e9db7e86ed920cb84fb78025646c3d3960fa4a9bbb32bba5cdab3962efb6
- Size of remote file:
- 312 MB
- SHA256:
- fa6360c1a730bbad75170e5f800c2fb7b5986d7f5814b879bb98dcaa89d7db2c
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