Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
English
whisper
hf-asr-leaderboard
Generated from Trainer
Instructions to use lw2333/Hinghwa_ASR_ipa_local with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lw2333/Hinghwa_ASR_ipa_local with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="lw2333/Hinghwa_ASR_ipa_local")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("lw2333/Hinghwa_ASR_ipa_local") model = AutoModelForSpeechSeq2Seq.from_pretrained("lw2333/Hinghwa_ASR_ipa_local") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fe2cf7167f32cbbc6e3bf0879fc27fa174e7e7040eb4ae00748dbaf41dbef6e9
- Size of remote file:
- 4.85 kB
- SHA256:
- a6778a4b11bef8eb2557b484020d2b3d2eb5dcda8308d4672f322ce4617cefba
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