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/main/training_args.bin
- Command line
-
hf download hf://4tt4/TransMod/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/4tt4/TransMod/resolve/main/training_args.bin
4.98 kB
- Xet hash:
- 77d1b7a42b0d21cd436b20b4f40ba94ad9fc8fc4d26e7e933c4c32e2831a7057
- Size of remote file:
- 4.98 kB
- SHA256:
- 176571e02090ef4d8806f0912a9d9b7cf5160767829ca8bbbec4e33d13475044
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