Automatic Speech Recognition
Transformers
PyTorch
Yue Chinese
whisper
hf-asr-leaderboard
Generated from Trainer
Eval Results (legacy)
Instructions to use Yuyang2022/yue with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Yuyang2022/yue with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Yuyang2022/yue")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Yuyang2022/yue") model = AutoModelForSpeechSeq2Seq.from_pretrained("Yuyang2022/yue", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Yuyang2022/yue: direct link, hf CLI and curl.
- Browser
- Download file 290 MB
-
https://huggingface.co/Yuyang2022/yue/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Yuyang2022/yue/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Yuyang2022/yue/resolve/main/pytorch_model.bin
290 MB
- Xet hash:
- 43e6d24a7af85321fc0d490208aa304bb874fa2761d660c79e292e95fe3ba004
- Size of remote file:
- 290 MB
- SHA256:
- 98eaf58a591529528a2e55ae51a1397b8d32f362bce005a16aa823f822ad6446
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