Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
English
whisper
hf-asr-leaderboard
Generated from Trainer
Instructions to use Ouwen/whisper-large-v3-grumble-english-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ouwen/whisper-large-v3-grumble-english-finetuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Ouwen/whisper-large-v3-grumble-english-finetuned")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Ouwen/whisper-large-v3-grumble-english-finetuned") model = AutoModelForSpeechSeq2Seq.from_pretrained("Ouwen/whisper-large-v3-grumble-english-finetuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6df9f328b4a3789c822c68fd4ce33ba91c50742f45d82226e8e295ba7769a987
- Size of remote file:
- 4.99 GB
- SHA256:
- 0aafb57d14041638a2ab81b455b89165644dbda4080ef07b8a32fbfc892bef96
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