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")# pip install -U transformers accelerate # 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
Kirill Milintsevich commited on
Commit ·
8c19cc2
1
Parent(s): b16dd0f
Training in progress, step 5000
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pytorch_model.bin
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