Automatic Speech Recognition
Transformers
Safetensors
Min Nan Chinese
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use Curiousfox/whisper_new_ver4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Curiousfox/whisper_new_ver4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Curiousfox/whisper_new_ver4")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Curiousfox/whisper_new_ver4") model = AutoModelForSpeechSeq2Seq.from_pretrained("Curiousfox/whisper_new_ver4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d2558b6b8e242a7f6302ead34ca57f8eb6248bbb6ea40cb9df871f01d87606cf
- Size of remote file:
- 5.43 kB
- SHA256:
- 42abfe63c752df259965c49ee23c1beea3e07d6ae23a22644e2e2c11306cd1c5
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