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
Download training_args.bin from Mahmoud1816Yasser/tmp_trainer: direct link, hf CLI and curl.
- Browser
- Download file 3.06 kB
-
https://huggingface.co/Mahmoud1816Yasser/tmp_trainer/resolve/main/training_args.bin
- Command line
-
hf download hf://Mahmoud1816Yasser/tmp_trainer/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Mahmoud1816Yasser/tmp_trainer/resolve/main/training_args.bin
3.06 kB
- Xet hash:
- 7507bd0fadd19ae8daf510ad9cd06993c6fe7d52acc57904505db7d3f9e55249
- Size of remote file:
- 3.06 kB
- SHA256:
- ae0bcf20db1252dcfe5405d07fd2fe7f01537e7fb6c22f32cc5227df3262d17c
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