Instructions to use kxgong/Meta-Transformer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kxgong/Meta-Transformer with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("kxgong/Meta-Transformer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 17bbda7ccb3579203a43e78a5781203193c24b3d3321b445810ce0470b07a26f
- Size of remote file:
- 340 MB
- SHA256:
- 4972de2b46fb77f3dc06e950ab331e0c0c9aae8f24dde3766745a43070cfc93e
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