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 pytorch_model.bin from zuazo/whisper-large-gl: direct link, hf CLI and curl.
- Browser
- Download file 6.17 GB
-
https://huggingface.co/zuazo/whisper-large-gl/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://zuazo/whisper-large-gl/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/zuazo/whisper-large-gl/resolve/main/pytorch_model.bin
6.17 GB
- Xet hash:
- 164e98b7787555b17d2f6fd0d93b5f77dfed5cc354f7de71cc665912df3aca7f
- Size of remote file:
- 6.17 GB
- SHA256:
- d03fe76dda39ba54fd869b97dcc319d31c898893f24a4075e699e2638e1b84c5
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