Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Persian
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use SadeghK/whisper-large-v3-turbo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SadeghK/whisper-large-v3-turbo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="SadeghK/whisper-large-v3-turbo")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("SadeghK/whisper-large-v3-turbo") model = AutoModelForSpeechSeq2Seq.from_pretrained("SadeghK/whisper-large-v3-turbo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload ggml-large-v3-turbo-fa.bin
Browse files
ggml-large-v3-turbo-fa.bin
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