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:
- 87b7d35ade3b21e7bd8ebdc5bf3b2082529b70282bbd5c18dbaa257b410c1f96
- Size of remote file:
- 46.8 GB
- SHA256:
- 49400a103297acb964b1c65aca18ef879425326fc117abfe81cd145ea09c10ea
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