Instructions to use transZ/phrext with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use transZ/phrext with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("transZ/phrext", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8fc1aa1d2b162109cad7108f823c8859a41b019d74074a08547601f9aee2beb4
- Size of remote file:
- 498 MB
- SHA256:
- a36e46dae803da6d866fb2ff7ac8f32e1921ef9b3d53c1a372dcc468a46c4ff6
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