Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Arabic
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use KalamTech/whisper-large-arabic-cv-11 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KalamTech/whisper-large-arabic-cv-11 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="KalamTech/whisper-large-arabic-cv-11", device_map="auto")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("KalamTech/whisper-large-arabic-cv-11") model = AutoModelForSpeechSeq2Seq.from_pretrained("KalamTech/whisper-large-arabic-cv-11", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 2000
Browse files
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