Instructions to use 4tt4/TransMod with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 4tt4/TransMod with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="4tt4/TransMod")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("4tt4/TransMod") model = AutoModelForAudioClassification.from_pretrained("4tt4/TransMod", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from 4tt4/TransMod: direct link, hf CLI and curl.
- Browser
- Download file 4.98 kB
-
https://huggingface.co/4tt4/TransMod/resolve/3ca37a3eef65366e26223ec145bb1b3fc9bcd289/training_args.bin
- Command line
-
hf download hf://4tt4/TransMod@3ca37a3eef65366e26223ec145bb1b3fc9bcd289/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/4tt4/TransMod/resolve/3ca37a3eef65366e26223ec145bb1b3fc9bcd289/training_args.bin
4.98 kB
- Xet hash:
- bb027900e9b946f64600c252d07ccb67fa1e24662ccc038c8ef637c811dd1c85
- Size of remote file:
- 4.98 kB
- SHA256:
- d82c7382bcf6f3514826dca521d60c97f05c8c1053ea5c03889b83498ab46f68
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