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:
- 8637a88dd148a5c2e17a3a8570a96672fe2c6f5dcd4e040902caa9419643797d
- Size of remote file:
- 1.21 GB
- SHA256:
- 220febe295066173d45dafd2a97069859befd845555318bf7c06c38cbc8b7672
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