Automatic Speech Recognition
Transformers
PyTorch
Galician
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use zuazo/whisper-large-gl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zuazo/whisper-large-gl with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="zuazo/whisper-large-gl")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("zuazo/whisper-large-gl") model = AutoModelForSpeechSeq2Seq.from_pretrained("zuazo/whisper-large-gl", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from zuazo/whisper-large-gl: direct link, hf CLI and curl.
- Browser
- Download file 4.16 kB
-
https://huggingface.co/zuazo/whisper-large-gl/resolve/main/training_args.bin
- Command line
-
hf download hf://zuazo/whisper-large-gl/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/zuazo/whisper-large-gl/resolve/main/training_args.bin
4.16 kB
- Xet hash:
- 6a22e0a26e3dba8a95858f96a44e7c493a819ca365ebae1fa1e49bc3f06697ce
- Size of remote file:
- 4.16 kB
- SHA256:
- 8619adf9e34cfdbd7e42a1211ee54dd3539e4fa304a77fbb7485e39c7fcb4e68
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