Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Arabic
whisper
Generated from Trainer
Instructions to use Baselhany/Graduation_Project_distillation_Whisper_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Baselhany/Graduation_Project_distillation_Whisper_base 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_base")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Baselhany/Graduation_Project_distillation_Whisper_base") model = AutoModelForSpeechSeq2Seq.from_pretrained("Baselhany/Graduation_Project_distillation_Whisper_base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- Jun17_11-26-05_b1479354a8a5
- Jun19_00-19-46_b77e16b995db
- Jun19_08-45-21_e95518adaa99
- Jun19_18-50-31_b7bd342ac5e9
- Jun19_23-44-49_b1435e4d0bb9
- Jun20_09-37-55_6d9932c6e70c
- Jun20_19-25-20_ab4605edb18d
- Jun21_07-28-33_d0464f4cbb2c
- Jun21_16-04-56_f3092bede05a
- Jun22_01-35-28_3025e7d34f0d
- Jun22_09-15-21_d24062af333e
- Jun22_16-50-40_a8cb5713fc9b
- Jun22_20-45-12_be42fa4ab08d
- Jun23_06-45-19_8d64b16ce8ef