Instructions to use microsoft/unispeech-sat-base-plus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/unispeech-sat-base-plus with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForPreTraining processor = AutoProcessor.from_pretrained("microsoft/unispeech-sat-base-plus") model = AutoModelForPreTraining.from_pretrained("microsoft/unispeech-sat-base-plus", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from microsoft/unispeech-sat-base-plus: direct link, hf CLI and curl.
- Browser
- Download file 382 MB
-
https://huggingface.co/microsoft/unispeech-sat-base-plus/resolve/a06e7d445dcc3771873022e0fee862e4981cf53b/pytorch_model.bin
- Command line
-
hf download hf://microsoft/unispeech-sat-base-plus@a06e7d445dcc3771873022e0fee862e4981cf53b/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/microsoft/unispeech-sat-base-plus/resolve/a06e7d445dcc3771873022e0fee862e4981cf53b/pytorch_model.bin
382 MB
- Xet hash:
- b15e3f8ddd8f7dae969837a214d60fd3ae22616ad99475b649e9e2dee765a378
- Size of remote file:
- 382 MB
- SHA256:
- 0ebc4dd3edc1e10e21a4d16791ad65b9217033d9205317e999a973304b27eda4
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