Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Arabic
whisper
Generated from Trainer
Instructions to use Baselhany/Graduation_Project_Distilation_Whisper_base3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Baselhany/Graduation_Project_Distilation_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_Distilation_Whisper_base3")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Baselhany/Graduation_Project_Distilation_Whisper_base3") model = AutoModelForSpeechSeq2Seq.from_pretrained("Baselhany/Graduation_Project_Distilation_Whisper_base3") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- May08_13-30-54_4bc203026e98
- May08_23-36-39_74c0069b203a
- May09_09-44-10_f017775aa8ea
- May09_19-45-13_2b5e6b69c4c1
- May10_04-59-29_2c7da953ea52
- May10_16-58-26_ad23c23770a9
- May11_05-13-54_e32311a9aa65
- May11_17-00-28_269c15750458
- May12_02-27-47_30b37a772aaf
- May12_13-51-51_85be926672df
- May21_18-53-31_390d9c3e5e1b