Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Catalan
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use JulioCastro/whisper-tiny-ca with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JulioCastro/whisper-tiny-ca with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="JulioCastro/whisper-tiny-ca")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("JulioCastro/whisper-tiny-ca") model = AutoModelForSpeechSeq2Seq.from_pretrained("JulioCastro/whisper-tiny-ca", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from JulioCastro/whisper-tiny-ca: direct link, hf CLI and curl.
- Browser
- Download file 3.64 kB
-
https://huggingface.co/JulioCastro/whisper-tiny-ca/resolve/main/training_args.bin
- Command line
-
hf download hf://JulioCastro/whisper-tiny-ca/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/JulioCastro/whisper-tiny-ca/resolve/main/training_args.bin
3.64 kB
- Xet hash:
- d520c4b9dab3c8e5e93f840ab778fbd39051da2b8b933a135c3df527a572282c
- Size of remote file:
- 3.64 kB
- SHA256:
- a10342fa4a78fcae0b9eb8b88907523de9c550d3b7dec6fc69a138870406e1ce
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