Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Chinese
whisper
hf-asr-leaderboard
Generated from Trainer
Instructions to use guqun/whispertest with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use guqun/whispertest with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="guqun/whispertest")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("guqun/whispertest") model = AutoModelForSpeechSeq2Seq.from_pretrained("guqun/whispertest", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from guqun/whispertest: direct link, hf CLI and curl.
- Browser
- Download file 967 MB
-
https://huggingface.co/guqun/whispertest/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://guqun/whispertest/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/guqun/whispertest/resolve/main/pytorch_model.bin
967 MB
- Xet hash:
- 1eb542bd3530b60ae4f2727dcf2b54695ba1671b10ce254b65c4e797525a121a
- Size of remote file:
- 967 MB
- SHA256:
- 4dea92c64754e73038c42b44bda3b6990d5f77343a820329445d6e7dd3759923
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