Automatic Speech Recognition
Transformers
Safetensors
wavlm
audio
speech
ctc
phone-recognition
arpabet
Instructions to use huper29/huper_recognizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use huper29/huper_recognizer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="huper29/huper_recognizer")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("huper29/huper_recognizer") model = AutoModelForCTC.from_pretrained("huper29/huper_recognizer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
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by pineapple-lover - opened
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huper29 changed pull request status to merged