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 training_args.bin from Paulalex/WhisperSmallFontranscript: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/Paulalex/WhisperSmallFontranscript/resolve/main/training_args.bin
- Command line
-
hf download hf://Paulalex/WhisperSmallFontranscript/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Paulalex/WhisperSmallFontranscript/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- dedb9c14460043ea5865c8b20c38de2c17e662f094ce26c5ca107fa778e4e3cf
- Size of remote file:
- 5.3 kB
- SHA256:
- f58e75e3bff6efaeb2362f005b99f70ecc9265ab01c6704575a94b01e87aec03
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