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:
- 31c2199d700b44aa8ee198dcb15924a37c02c4e5643eac556e208e28386ec8dc
- Size of remote file:
- 18.3 GB
- SHA256:
- 2ed39223086dd488a82e72c7fe581965b10db03f196771b3037112f67af58583
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