Instructions to use microsoft/unispeech-sat-large-sd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/unispeech-sat-large-sd with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForAudioFrameClassification processor = AutoProcessor.from_pretrained("microsoft/unispeech-sat-large-sd") model = AutoModelForAudioFrameClassification.from_pretrained("microsoft/unispeech-sat-large-sd", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from microsoft/unispeech-sat-large-sd: direct link, hf CLI and curl.
- Browser
- Download file 1.26 GB
-
https://huggingface.co/microsoft/unispeech-sat-large-sd/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://microsoft/unispeech-sat-large-sd/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/microsoft/unispeech-sat-large-sd/resolve/main/pytorch_model.bin
1.26 GB
- Xet hash:
- 8f94593301e26ceefd132ab119559822cdef6bc66a19eff27590d83d2799a99c
- Size of remote file:
- 1.26 GB
- SHA256:
- b7fe3528209a648ef00744865efae70b470f47efdefbce0152ea3065b3aa6b85
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