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:
- 59c09233c55ad19fd2c0234f8e3ee0ff0514911e6acd001100dd529714a4edf7
- Size of remote file:
- 908 kB
- SHA256:
- 00832df3e553bf72bce58e64d4d39e63acdf8736bf28dc5d3f8b131e63821139
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