Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Arabic
whisper
Generated from Trainer
Instructions to use Baselhany/Graduation_Project_distillation_Whisper_base2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Baselhany/Graduation_Project_distillation_Whisper_base2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Baselhany/Graduation_Project_distillation_Whisper_base2")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Baselhany/Graduation_Project_distillation_Whisper_base2") model = AutoModelForSpeechSeq2Seq.from_pretrained("Baselhany/Graduation_Project_distillation_Whisper_base2") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 1
Browse files
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runs/Jun23_06-48-14_5737c665e4d0/events.out.tfevents.1750661295.5737c665e4d0.19.0
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