Instructions to use Jgarritz/ultravox-v0_6-llama-3_3-70b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jgarritz/ultravox-v0_6-llama-3_3-70b with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Jgarritz/ultravox-v0_6-llama-3_3-70b", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 947d3b8323165967a9f5d76364b2a5b8d0e59d8d5fa1797ec9990eea66d16160
- Size of remote file:
- 1.39 GB
- SHA256:
- c7e43fffee7e4d532c9a59f1805a250ede15c561bfa3d85855330136545393d7
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