Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Spanish
whisper
Generated from Trainer
Instructions to use breco/whisper-tiny-few-reports with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use breco/whisper-tiny-few-reports with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="breco/whisper-tiny-few-reports")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("breco/whisper-tiny-few-reports") model = AutoModelForSpeechSeq2Seq.from_pretrained("breco/whisper-tiny-few-reports", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
End of training
Verified signature743cd25 -
Upload tokenizer
Verified signature360599d -
Model save
Verified signaturec319332 -
Training in progress, step 100
Verified signature907f1e9 -
Training in progress, step 90
Verified signature6b8bb09 -
Training in progress, step 80
Verified signature7f94b73 -
Training in progress, step 70
Verified signature23a0c08 -
Training in progress, step 60
Verified signaturecb471ad -
Training in progress, step 50
Verified signature00ab710 -
Training in progress, step 40
Verified signature7de73b6 -
Training in progress, step 30
Verified signatureece0d2b -
Training in progress, step 20
Verified signature52c7d71 -
Training in progress, step 10
Verified signatureb271efa -
initial commit
Verified signature5587bc4