Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Fon
whisper
Generated from Trainer
Instructions to use Paulalex/WhisperSmallFontranscript with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Paulalex/WhisperSmallFontranscript with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Paulalex/WhisperSmallFontranscript")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Paulalex/WhisperSmallFontranscript") model = AutoModelForSpeechSeq2Seq.from_pretrained("Paulalex/WhisperSmallFontranscript", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f95f39ad1dad97a6d8a8660668c7e26d99ea41c8731605ee57f6e4765aa2902c
- Size of remote file:
- 967 MB
- SHA256:
- 8f2e47d959eb490a5265d218a8ade10bd59f7e07e17cc85e1d3c46782a5cffdc
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