Instructions to use hf-internal-testing/tiny-random-BrosModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-BrosModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-BrosModel")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("hf-internal-testing/tiny-random-BrosModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-BrosModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a014223869b00c8100177fa02303999744bddac8f8dcbf3ba5e46dc542026ead
- Size of remote file:
- 908 kB
- SHA256:
- b8ca25149fc92fc7e0110b1e4a2aed4786f69a4e12b7f5bed5513ea148efc539
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