Instructions to use hf-internal-testing/tiny-random-VanModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-VanModel 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-VanModel")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-VanModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f4c3681cc9eea6f27432e37db429c8614faee39555e2fbf30d39b6aef4c4f0f5
- Size of remote file:
- 1.59 MB
- SHA256:
- 8983cfd40a69c5c19c584d301bb397a3ecfa825c7881c9c5746b345497ec0ab4
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