Instructions to use hf-tiny-model-private/tiny-random-DetaModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-DetaModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="hf-tiny-model-private/tiny-random-DetaModel")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hf-tiny-model-private/tiny-random-DetaModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 65c5d60e8868c3ce4bfcb3d6e384b9fa5f8380497654d3f647e6530ba9b56c58
- Size of remote file:
- 123 MB
- SHA256:
- 13b769c82e0c4a680653c924e5f50ca61b046168a7553ca5f4740af588a919f9
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