Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use grs32/whisper-tiny-en-US with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use grs32/whisper-tiny-en-US with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="grs32/whisper-tiny-en-US")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("grs32/whisper-tiny-en-US") model = AutoModelForSpeechSeq2Seq.from_pretrained("grs32/whisper-tiny-en-US", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- Oct26_10-47-09_4955f603818a
- Oct26_10-57-56_4955f603818a
- Oct26_11-01-46_4955f603818a
- Oct26_11-02-18_4955f603818a
- Oct26_11-05-41_4955f603818a
- Oct26_11-06-58_4955f603818a
- Oct26_11-08-02_4955f603818a
- Oct26_11-08-55_4955f603818a
- Oct26_11-09-25_4955f603818a
- Oct26_11-10-09_4955f603818a
- Oct26_11-12-27_4955f603818a
- Oct26_11-15-29_4955f603818a
- Oct26_11-15-54_4955f603818a
- Oct26_11-16-07_4955f603818a
- Oct26_11-16-21_4955f603818a
- Oct26_11-17-13_4955f603818a
- Oct26_11-18-03_4955f603818a
- Oct26_11-21-03_4955f603818a