Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
English
whisper
Generated from Trainer
Instructions to use mavleo96/whisper-medium.en-decoder-layernorm-english-accent with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mavleo96/whisper-medium.en-decoder-layernorm-english-accent with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="mavleo96/whisper-medium.en-decoder-layernorm-english-accent")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("mavleo96/whisper-medium.en-decoder-layernorm-english-accent") model = AutoModelForMultimodalLM.from_pretrained("mavleo96/whisper-medium.en-decoder-layernorm-english-accent") - Notebooks
- Google Colab
- Kaggle
Gated model You can list files but not access them
Preview of files found in this repository
- checkpoint-1000
- checkpoint-1200
- checkpoint-1400
- checkpoint-1600
- checkpoint-1800
- checkpoint-200
- checkpoint-2000
- checkpoint-2200
- checkpoint-2400
- checkpoint-2600
- checkpoint-2800
- checkpoint-3000
- checkpoint-3150
- checkpoint-400
- checkpoint-600
- checkpoint-800
- runs
- 1.52 kB
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