Instructions to use devkyle/whisper-tiny-10dp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use devkyle/whisper-tiny-10dp with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="devkyle/whisper-tiny-10dp")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("devkyle/whisper-tiny-10dp") model = AutoModelForSpeechSeq2Seq.from_pretrained("devkyle/whisper-tiny-10dp", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from devkyle/whisper-tiny-10dp: direct link, hf CLI and curl.
- Browser
- Download file 5.5 kB
-
https://huggingface.co/devkyle/whisper-tiny-10dp/resolve/a02489e10733581e2f60b01276e7d991009a283e/training_args.bin
- Command line
-
hf download hf://devkyle/whisper-tiny-10dp@a02489e10733581e2f60b01276e7d991009a283e/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/devkyle/whisper-tiny-10dp/resolve/a02489e10733581e2f60b01276e7d991009a283e/training_args.bin
5.5 kB
- Xet hash:
- 66f0395ad07b1b0879ff9a36f85bc8dfc089800deca9ddd9510ba9a9a7cfe6a2
- Size of remote file:
- 5.5 kB
- SHA256:
- 64c423eaee93606eab2e87da11fa63413331b8e1700246e766b223edfb7e933f
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