Instructions to use hf-internal-testing/tiny-random-DetaModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-DetaModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="hf-internal-testing/tiny-random-DetaModel")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-DetaModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f150caea69abf7890548895ef9acade54c8c2b00829e4952a3f54bc05bafc50a
- Size of remote file:
- 123 MB
- SHA256:
- 1ac7562f9af1c420334d963da352abd2bac0c3b453bd8d671bc1826cdf1e9010
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