Instructions to use aihimanshu/model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aihimanshu/model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="aihimanshu/model")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("aihimanshu/model") model = AutoModelForAudioClassification.from_pretrained("aihimanshu/model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from aihimanshu/model: direct link, hf CLI and curl.
- Browser
- Download file 4.54 kB
-
https://huggingface.co/aihimanshu/model/resolve/main/training_args.bin
- Command line
-
hf download hf://aihimanshu/model/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/aihimanshu/model/resolve/main/training_args.bin
4.54 kB
- Xet hash:
- 15e574ce44c0ebb32be48bb3c55bb5907a9c45b2dd61265d0d3b93388b5be8bf
- Size of remote file:
- 4.54 kB
- SHA256:
- 127e81cb5038d749962ff63a0badae0ec7186eb6302c3788524842cc497a4e95
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