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")# 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
- Xet hash:
- c6ff3b6a89921a1ba85a55273664742cc169d910e89ea04bbe6673dd17eef752
- Size of remote file:
- 5.37 kB
- SHA256:
- 5532fb93debecec03d4be638b319c1d8c3b38971c8f400af4c74193bd0353db5
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