Automatic Speech Recognition
Transformers
PyTorch
Galician
whisper
ITG
PyTorch
Transformers
whisper-small
Instructions to use ITG/whisper-small-gl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ITG/whisper-small-gl with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ITG/whisper-small-gl")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("ITG/whisper-small-gl") model = AutoModelForSpeechSeq2Seq.from_pretrained("ITG/whisper-small-gl", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
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version https://git-lfs.github.com/spec/v1
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oid sha256:b274a1b1440c64be3c7399d2d2b54510b6127d99c20db654f2870dc1706ae7d0
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size 966995080
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