Instructions to use llillillil/myASTModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use llillillil/myASTModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="llillillil/myASTModel")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("llillillil/myASTModel") model = AutoModelForAudioClassification.from_pretrained("llillillil/myASTModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from llillillil/myASTModel: direct link, hf CLI and curl.
- Browser
- Download file 4.54 kB
-
https://huggingface.co/llillillil/myASTModel/resolve/main/training_args.bin
- Command line
-
hf download hf://llillillil/myASTModel/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/llillillil/myASTModel/resolve/main/training_args.bin
4.54 kB
- Xet hash:
- d9e7cb5245ad55d2cd8c72cde35f968b82ade8d92de58fe295110605acec13c1
- Size of remote file:
- 4.54 kB
- SHA256:
- 69297300cbe6401b0a0b45271055195d8d0be092977355fb21cd710392d46f2c
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