Instructions to use Mahmoud1816Yasser/tmp_trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mahmoud1816Yasser/tmp_trainer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="Mahmoud1816Yasser/tmp_trainer")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("Mahmoud1816Yasser/tmp_trainer") model = AutoModelForAudioClassification.from_pretrained("Mahmoud1816Yasser/tmp_trainer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
88bf5a9 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:ae0bcf20db1252dcfe5405d07fd2fe7f01537e7fb6c22f32cc5227df3262d17c
size 3055
|