Instructions to use FasterDecoding/medusa-vicuna-13b-v1.3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FasterDecoding/medusa-vicuna-13b-v1.3 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("FasterDecoding/medusa-vicuna-13b-v1.3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 19184dcdd02baca1282d11182d148374719313acd503b24c27e261c5432e6f22
- Size of remote file:
- 1.9 GB
- SHA256:
- 59ab6c20ad5071d2ab5358ee3c591ef1735f7f2e20658108db74423dab80de5b
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