Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use shane062/whisper-medium-300v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shane062/whisper-medium-300v3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="shane062/whisper-medium-300v3")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("shane062/whisper-medium-300v3") model = AutoModelForSpeechSeq2Seq.from_pretrained("shane062/whisper-medium-300v3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 23064f97e612a33f32b177ff3f3c587535f637deca7f3a674bbf8926291f3457
- Size of remote file:
- 3.06 GB
- SHA256:
- a4c9099e541fe5630158c4c3b0a3d44fec8c783610c3b7430cd21eca4392abf9
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