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", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ef8f1250e8bcf0ff36bfef33c6159bbcf58cc23f54d13c257619a186466858b1
- Size of remote file:
- 123 MB
- SHA256:
- b020bd826511b77f6d0c5fdaceb9848543b51a26c280f8c51910da0444bf82d1
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