Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Hindi
whisper
hf-asr-leaderboard
Generated from Trainer
Instructions to use shields/whisper-medium-catalan with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shields/whisper-medium-catalan with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="shields/whisper-medium-catalan")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("shields/whisper-medium-catalan") model = AutoModelForSpeechSeq2Seq.from_pretrained("shields/whisper-medium-catalan", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2861623ea8d9e96519be8a2afc8b1804ed543c2d5dce6828b566bb222f1f1001
- Size of remote file:
- 3.64 kB
- SHA256:
- e2ea8c735f3e10fdbb3241758b717ee6eb77bb54f90cd7a1e70d21c84775a861
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