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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1e5f5f1342f8a7273206e2fb24d5a331c75e5f0de3b75c7598a2931e9be97903
- Size of remote file:
- 3.06 GB
- SHA256:
- 6ce276365ab2679daacfc4a2021492b5543dbc139e88d66645dfd89b8e96b4c3
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