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/encoder_model.onnx from hf-internal-testing/tiny-random-speech_to_text: direct link, hf CLI and curl.
- Browser
- Download file 94.6 kB
-
https://huggingface.co/hf-internal-testing/tiny-random-speech_to_text/resolve/refs%2Fpr%2F6/onnx/encoder_model.onnx
- Command line
-
hf download hf://hf-internal-testing/tiny-random-speech_to_text@refs/pr/6/onnx/encoder_model.onnx
-
curl -L -o encoder_model.onnx https://huggingface.co/hf-internal-testing/tiny-random-speech_to_text/resolve/refs%2Fpr%2F6/onnx/encoder_model.onnx
94.6 kB
- Xet hash:
- 4d2fcb3d8e16a1f767fa61eadbd6264a36010551a46383ce281dcb75d7bd17c3
- Size of remote file:
- 94.6 kB
- SHA256:
- 0461341d8827ec90d8ce9708fd0acfe896e5d6d530678dc30cf44edbbe88ef5a
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