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:
- 4634cdf71619c188a2e0071805e724475bc011294629226eb8f30e39ad4bcf0c
- Size of remote file:
- 4.09 kB
- SHA256:
- 8a8239d2afd1d31ab5bd393a57348ecda562a60e42b89ce492789872b6cf6517
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