Instructions to use byoussef/whisper-small-kr-colab with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use byoussef/whisper-small-kr-colab with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="byoussef/whisper-small-kr-colab")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("byoussef/whisper-small-kr-colab") model = AutoModelForSpeechSeq2Seq.from_pretrained("byoussef/whisper-small-kr-colab", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from byoussef/whisper-small-kr-colab: direct link, hf CLI and curl.
- Browser
- Download file 967 MB
-
https://huggingface.co/byoussef/whisper-small-kr-colab/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://byoussef/whisper-small-kr-colab/pytorch_model.bin
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curl -L -o pytorch_model.bin https://huggingface.co/byoussef/whisper-small-kr-colab/resolve/main/pytorch_model.bin
967 MB
- Xet hash:
- f9c040fe088ef0633adabdd40ac5790aa9ae02bdfa139ea1c59c5295d39b1132
- Size of remote file:
- 967 MB
- SHA256:
- bd9d2fea540b1e418b92d457f6b7ba7a3f71d564779bd76aa9688a8e169c2385
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