Instructions to use Devops-hestabit/airoboros-l2-70B-tensorRT-model-tp2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Devops-hestabit/airoboros-l2-70B-tensorRT-model-tp2 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Devops-hestabit/airoboros-l2-70B-tensorRT-model-tp2", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b00bde322402b29693de1ab47b30c0ecbe4e608d79691af96febf1337b1701bc
- Size of remote file:
- 18.3 GB
- SHA256:
- 45bae29bdff0191252a6942f858d707233b59f1c9ce726e3de06e8dabdbf553b
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