Instructions to use nateraw/dummy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nateraw/dummy with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("nateraw/dummy", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6af8ad3c5d9946783115fff6436e3e91d6e00fefad4b103f5af1a05a1b6546ba
- Size of remote file:
- 1.76 MB
- SHA256:
- e550b61b21a7ffdae47ee0f22740aadf94053d00d129af9e7764a0e547b9f17a
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