Instructions to use hf-internal-testing/tiny-random-HubertModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-HubertModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-HubertModel")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("hf-internal-testing/tiny-random-HubertModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-HubertModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 518240d4281e9db7e2c0b5039095a8aff328ad8ff33a49b0d2955c8a696ef5d7
- Size of remote file:
- 115 kB
- SHA256:
- 45d4fd8532be39b6580648ca07259c2e554b9fad2f527d2d0ddc020dbb858a29
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