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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 100f38ebb4f4f480c2e4cda9441a51fe4cb069636f9974139b154c09eeaacf75
- Size of remote file:
- 908 kB
- SHA256:
- 29cef920cb154685fc98081511595009786a5880d6d631bd0a4f1abedcc3e322
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