Instructions to use rachfop/tensorrt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rachfop/tensorrt with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("rachfop/tensorrt", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5b1cdc6c1be7aec57347e59d69ce8d226e0dc7b72e149b495116af16b48a2102
- Size of remote file:
- 14.5 GB
- SHA256:
- 2923c06e9dfb7c2ddc4c260c2081786651a275887f3d8eaf113a6dd5afac7923
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