Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Galician
whisper
Eval Results (legacy)
Instructions to use mozilla-ai/whisper-small-gl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mozilla-ai/whisper-small-gl with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="mozilla-ai/whisper-small-gl")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("mozilla-ai/whisper-small-gl") model = AutoModelForSpeechSeq2Seq.from_pretrained("mozilla-ai/whisper-small-gl", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from mozilla-ai/whisper-small-gl: direct link, hf CLI and curl.
- Browser
- Download file 5.5 kB
-
https://huggingface.co/mozilla-ai/whisper-small-gl/resolve/main/training_args.bin
- Command line
-
hf download hf://mozilla-ai/whisper-small-gl/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/mozilla-ai/whisper-small-gl/resolve/main/training_args.bin
5.5 kB
- Xet hash:
- 1e6bc941fc17843b21958fc33c9f67e0618f012469e824a1a409b61c9ba31418
- Size of remote file:
- 5.5 kB
- SHA256:
- d2872ad488b47d44ee2ef42bb07918f9a4218f50f3b02e9893d208a681b4ceb1
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