Instructions to use Baselhany/Graduation_Project_Distil_Whisper_base3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Baselhany/Graduation_Project_Distil_Whisper_base3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Baselhany/Graduation_Project_Distil_Whisper_base3")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Baselhany/Graduation_Project_Distil_Whisper_base3") model = AutoModelForSpeechSeq2Seq.from_pretrained("Baselhany/Graduation_Project_Distil_Whisper_base3") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 12
Browse files
model.safetensors
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runs/Jun15_09-37-52_002b818f6085/events.out.tfevents.1749980273.002b818f6085.20.0
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