Instructions to use hf-internal-testing/tiny-random-UniSpeechSatForAudioFrameClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-UniSpeechSatForAudioFrameClassification with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioFrameClassification processor = AutoProcessor.from_pretrained("hf-internal-testing/tiny-random-UniSpeechSatForAudioFrameClassification") model = AutoModelForAudioFrameClassification.from_pretrained("hf-internal-testing/tiny-random-UniSpeechSatForAudioFrameClassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from hf-internal-testing/tiny-random-UniSpeechSatForAudioFrameClassification: direct link, hf CLI and curl.
- Browser
- Download file 134 kB
-
https://huggingface.co/hf-internal-testing/tiny-random-UniSpeechSatForAudioFrameClassification/resolve/325d660bd7bcef6296f37df5e9d851d2a204a8ee/pytorch_model.bin
- Command line
-
hf download hf://hf-internal-testing/tiny-random-UniSpeechSatForAudioFrameClassification@325d660bd7bcef6296f37df5e9d851d2a204a8ee/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/hf-internal-testing/tiny-random-UniSpeechSatForAudioFrameClassification/resolve/325d660bd7bcef6296f37df5e9d851d2a204a8ee/pytorch_model.bin
134 kB
- Xet hash:
- 8983ad7808f87d508d606088b36ccfca25cda88923455027e66b3a32e91d808c
- Size of remote file:
- 134 kB
- SHA256:
- ea09bd53eb53ad6a915d76f16775176795afd72adbd486b012d646a869e99e19
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