Automatic Speech Recognition
Transformers
Safetensors
Arabic
whisper
ar-asr-leaderboard
Generated from Trainer
Eval Results (legacy)
Instructions to use UsmanAXAI/whisper-small-ft-client with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use UsmanAXAI/whisper-small-ft-client with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="UsmanAXAI/whisper-small-ft-client")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("UsmanAXAI/whisper-small-ft-client") model = AutoModelForSpeechSeq2Seq.from_pretrained("UsmanAXAI/whisper-small-ft-client") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eb822b67a80d63444b9e3f02241f2a031ea05570d2b0280dbda4c3a1b172a6ab
- Size of remote file:
- 4.86 kB
- SHA256:
- 759e8eeec467ff364f648034167e2737ca1ffc9cc0f0ecc08f002b0def2dcda8
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