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
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
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oid sha256:1411515486c6d679f37b938bffad05aa47849361e758c6f64f2328b0154fc239
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size 3055544304
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