Instructions to use microsoft/unispeech-sat-base-100h-libri-ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/unispeech-sat-base-100h-libri-ft with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="microsoft/unispeech-sat-base-100h-libri-ft")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("microsoft/unispeech-sat-base-100h-libri-ft") model = AutoModelForCTC.from_pretrained("microsoft/unispeech-sat-base-100h-libri-ft", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from microsoft/unispeech-sat-base-100h-libri-ft: direct link, hf CLI and curl.
- Browser
- Download file 378 MB
-
https://huggingface.co/microsoft/unispeech-sat-base-100h-libri-ft/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://microsoft/unispeech-sat-base-100h-libri-ft/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/microsoft/unispeech-sat-base-100h-libri-ft/resolve/main/pytorch_model.bin
378 MB
- Xet hash:
- 4821c8c87a495c0d82ea7d807442f346872d951e650d0e27470ba67325434ac8
- Size of remote file:
- 378 MB
- SHA256:
- f03b2cfcabd84c022aa50616eb62993513a6f4e5a1742477c97b5296b9c054aa
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