Instructions to use Composio/mixtral_tensorrt_a100_tp2_w2_nvlink with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Composio/mixtral_tensorrt_a100_tp2_w2_nvlink with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Composio/mixtral_tensorrt_a100_tp2_w2_nvlink", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 08aed79be8cd5fd7990ceef9cd0f7b08241bb3537549f8856321b5b3cf834db8
- Size of remote file:
- 46.8 GB
- SHA256:
- 92d559fcade958c0ef66bf98a480c054fae0cc6969cc09aac6d20b5dcfa9c6c5
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