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")# pip install -U transformers accelerate # 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
Download vocab.json from Paulalex/WhisperSmallFontranscript: direct link, hf CLI and curl.
- Browser
- Download file 836 kB
-
https://huggingface.co/Paulalex/WhisperSmallFontranscript/resolve/main/vocab.json
- Command line
-
hf download hf://Paulalex/WhisperSmallFontranscript/vocab.json
-
curl -L -o vocab.json https://huggingface.co/Paulalex/WhisperSmallFontranscript/resolve/main/vocab.json
836 kB
File too large to display, you can check the raw version instead.