Automatic Speech Recognition
Transformers
Safetensors
Min Nan Chinese
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use Curiousfox/whisper_new_ver2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Curiousfox/whisper_new_ver2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Curiousfox/whisper_new_ver2")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Curiousfox/whisper_new_ver2") model = AutoModelForSpeechSeq2Seq.from_pretrained("Curiousfox/whisper_new_ver2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Curiousfox/whisper_new_ver2: direct link, hf CLI and curl.
- Browser
- Download file 5.43 kB
-
https://huggingface.co/Curiousfox/whisper_new_ver2/resolve/main/training_args.bin
- Command line
-
hf download hf://Curiousfox/whisper_new_ver2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Curiousfox/whisper_new_ver2/resolve/main/training_args.bin
5.43 kB
- Xet hash:
- 0e904f7fcfd35906975347c7e89317bb6f2a08363746d293f6eda0836ce9222f
- Size of remote file:
- 5.43 kB
- SHA256:
- a76540003c02fd12a8c00c077d0da0a3f8d9e3a10ece4c0701cbe92b09ab31e9
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