Instructions to use hf-internal-testing/tiny-random-speech_to_text with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-speech_to_text with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-speech_to_text", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3eb1f4ba624fd59f5ca233ad46cd68d04d41bf4b623b452d5ec752dc9d45d078
- Size of remote file:
- 417 kB
- SHA256:
- 052a168787a9160b4b2ba54e4995e9600298812c34191ca3f70cea51cd4f5c1e
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