Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Bashkir
whisper
Eval Results (legacy)
Instructions to use stdbug/whisper-tiny-ba with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use stdbug/whisper-tiny-ba with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="stdbug/whisper-tiny-ba")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("stdbug/whisper-tiny-ba") model = AutoModelForSpeechSeq2Seq.from_pretrained("stdbug/whisper-tiny-ba") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 5
Browse files
runs/Jul01_21-46-53_DESKTOP-GRFRT6G/events.out.tfevents.1751407753.DESKTOP-GRFRT6G.204679.0
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