Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Arabic
multilingual
whisper
hf-asr-leaderboard
whisper-event
Generated from Trainer
Arabic
STT
Eval Results (legacy)
Instructions to use Salama1429/KalemaTech-Arabic-STT-ASR-based-on-Whisper-Small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Salama1429/KalemaTech-Arabic-STT-ASR-based-on-Whisper-Small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Salama1429/KalemaTech-Arabic-STT-ASR-based-on-Whisper-Small")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Salama1429/KalemaTech-Arabic-STT-ASR-based-on-Whisper-Small") model = AutoModelForSpeechSeq2Seq.from_pretrained("Salama1429/KalemaTech-Arabic-STT-ASR-based-on-Whisper-Small") - Notebooks
- Google Colab
- Kaggle
Ctrl+K