Instructions to use TheBloke/vicuna-13B-v1.5-GGML with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TheBloke/vicuna-13B-v1.5-GGML with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("TheBloke/vicuna-13B-v1.5-GGML", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dc9a4aa886ce97be96bd200d4c284932733891d06acaf90e9b8ca2e717265ca4
- Size of remote file:
- 9.23 GB
- SHA256:
- 83beddf50cabf16e7c07868eb53ba0c87a7fa94c85d38b8cfd60464b679adb59
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.