Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Tatar
whisper
whisper-event
Eval Results (legacy)
Instructions to use 501Good/whisper-tiny-tt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 501Good/whisper-tiny-tt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="501Good/whisper-tiny-tt")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("501Good/whisper-tiny-tt") model = AutoModelForSpeechSeq2Seq.from_pretrained("501Good/whisper-tiny-tt", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
Create README.md 08ca69a
End of training 534f8dc
Kirill Milintsevich commited on
Training in progress, step 5000 8c19cc2
Kirill Milintsevich commited on
Training in progress, step 4500 b16dd0f
Kirill Milintsevich commited on
Training in progress, step 4000 52f4148
Kirill Milintsevich commited on
Training in progress, step 3500 378f999
Kirill Milintsevich commited on
Training in progress, step 3000 5f1db05
Kirill Milintsevich commited on
Training in progress, step 2500 b0658ec
Kirill Milintsevich commited on
Training in progress, step 2000 4d9096d
Kirill Milintsevich commited on
Training in progress, step 1500 5daa9f8
Kirill Milintsevich commited on
Training in progress, step 1000 1962a94
Kirill Milintsevich commited on
Training in progress, step 500 218b3e8
Kirill Milintsevich commited on
Training in progress, step 1000 66892d7
Kirill Milintsevich commited on
initial commit b408476
Kirill Milintsevich commited on