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", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b8a72c3ef8fc15cf95eec26f6609640d76aef44e4e4750a559ca86b83cd99214
- Size of remote file:
- 123 MB
- SHA256:
- f83e8a730417e8c57184d3129cb2067a55203ec94ad723a7db80bd1eae0e4a5a
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