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:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-speech_to_text", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download onnx/decoder_model.onnx from hf-internal-testing/tiny-random-speech_to_text: direct link, hf CLI and curl.
- Browser
- Download file 746 kB
-
https://huggingface.co/hf-internal-testing/tiny-random-speech_to_text/resolve/refs%2Fpr%2F6/onnx/decoder_model.onnx
- Command line
-
hf download hf://hf-internal-testing/tiny-random-speech_to_text@refs/pr/6/onnx/decoder_model.onnx
-
curl -L -o decoder_model.onnx https://huggingface.co/hf-internal-testing/tiny-random-speech_to_text/resolve/refs%2Fpr%2F6/onnx/decoder_model.onnx
746 kB
- Xet hash:
- b7f9d69f0061480fe329c5d1a5cce92c2db712c2df567ee61e23628d7538b1ee
- Size of remote file:
- 746 kB
- SHA256:
- 02a3e1c11d095cebe3ab2152d791e39382622a28954839c5c1a2c19ca9cf9f85
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