Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Turkish
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use selimc/whisper-large-v3-turbo-turkish with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use selimc/whisper-large-v3-turbo-turkish with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="selimc/whisper-large-v3-turbo-turkish")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("selimc/whisper-large-v3-turbo-turkish") model = AutoModelForSpeechSeq2Seq.from_pretrained("selimc/whisper-large-v3-turbo-turkish", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ggml for whispercpp?
1
#4 opened over 1 year ago
by
whatnext
Error
#1 opened almost 2 years ago
by
ersengultepe