Instructions to use m-ric/Aria_hf_3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use m-ric/Aria_hf_3 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("m-ric/Aria_hf_3", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eab7649b11824b1e6a174176a9bdf5f8f418671136e78a2b3e5e5b727b4897a2
- Size of remote file:
- 1.7 MB
- SHA256:
- e429a008ed1045d14464933311e0b3258575980efc9db4e61f368e399c719d2a
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