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 AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-BrosModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-BrosModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 40731f80c3ca26ff6188e0af5115f08938e8f05fd5a9da70e6c029a317096836
- Size of remote file:
- 889 kB
- SHA256:
- a87430db65ef6ed7da9fb450d1d9ace7471b5376cc425233895e7b7eca379418
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