Instructions to use junsor/whisper-tiny-aishell with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use junsor/whisper-tiny-aishell with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="junsor/whisper-tiny-aishell")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("junsor/whisper-tiny-aishell") model = AutoModelForSpeechSeq2Seq.from_pretrained("junsor/whisper-tiny-aishell", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from junsor/whisper-tiny-aishell: direct link, hf CLI and curl.
- Browser
- Download file 151 MB
-
https://huggingface.co/junsor/whisper-tiny-aishell/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://junsor/whisper-tiny-aishell/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/junsor/whisper-tiny-aishell/resolve/main/pytorch_model.bin
151 MB
- Xet hash:
- b1475e82319c918d90f231bbbc7d4a6615eba9439d76c85585519893d9972c42
- Size of remote file:
- 151 MB
- SHA256:
- 0906ebc290f4e70a18f77fbf89ab3336a029d594a0d5a52746f2a5f4b36dd99a
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