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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- Jun17_11-33-36_835254aa27d9
- Jun19_00-20-09_0945abb0c601
- Jun19_08-45-54_c6d97355cfb2
- Jun19_18-51-05_a5b4ddee1095
- Jun19_23-51-25_9df7abaee3ea
- Jun20_09-38-39_d83d500e4c2d
- Jun20_20-34-49_83d86f13a4a6
- Jun21_07-30-32_fbef9c330fa2
- Jun21_16-04-31_f11ed43d8152
- Jun22_01-37-51_2a29a6542625
- Jun22_09-19-46_168f3ee8d230
- Jun22_16-47-33_39deb02e5a0e
- Jun22_20-48-00_146a654ac07f
- Jun23_06-48-14_5737c665e4d0