Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Turkish
whisper
Generated from Trainer
Instructions to use ysdede/whisper-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ysdede/whisper-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ysdede/whisper-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("ysdede/whisper-base") model = AutoModelForSpeechSeq2Seq.from_pretrained("ysdede/whisper-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
End of training
Verified signature3d178a9 -
Training in progress, step 60000
Verified signaturecb39a32 -
Training in progress, step 55000
Verified signature6746895 -
Training in progress, step 50000
Verified signature37ae033 -
Training in progress, step 45000
Verified signature7cbcaa4 -
Training in progress, step 40000
Verified signature6b5889b -
Training in progress, step 35000
Verified signature14731f8 -
Training in progress, step 30000
Verified signature82b5350 -
Training in progress, step 25000
Verified signature8ef3c95 -
Training in progress, step 20000
Verified signature47bf847 -
Training in progress, step 15000
Verified signature6432386 -
Training in progress, step 10000
Verified signature7e85798 -
Training in progress, step 5000
Verified signature8afa44d -
initial commit
Verified signatureaba818b