Instructions to use uracoder/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use uracoder/results with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("uracoder/results", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 43e72def49025564e891e2993dc80f2cf0be7b81b32e36e0b56899adfa34b19d
- Size of remote file:
- 19.6 MB
- SHA256:
- 3697e9251e92b4cd6233710f911e826549b6422c6dbb8fcc2bd6ea493cda66a1
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