Automatic Speech Recognition
Transformers
Safetensors
Azerbaijani
whisper
azerbaijani
asr
speech
fine-tuned
Eval Results (legacy)
Instructions to use LocalDoc/azerbaijani-whisper-turbo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LocalDoc/azerbaijani-whisper-turbo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="LocalDoc/azerbaijani-whisper-turbo")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("LocalDoc/azerbaijani-whisper-turbo") model = AutoModelForSpeechSeq2Seq.from_pretrained("LocalDoc/azerbaijani-whisper-turbo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Rename processor_config.json to preprocessor_config.json
#3 opened 3 months ago
by
f1r10
Rename processor_config.json to preprocessor_config.json
#2 opened 3 months ago
by
firon123
Rename processor_config.json to preprocessor_config.json
#1 opened 3 months ago
by
firon123