Instructions to use varunril/lan_det with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use varunril/lan_det with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="varunril/lan_det")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("varunril/lan_det") model = AutoModelForAudioClassification.from_pretrained("varunril/lan_det", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from varunril/lan_det: direct link, hf CLI and curl.
- Browser
- Download file 4.73 kB
-
https://huggingface.co/varunril/lan_det/resolve/main/training_args.bin
- Command line
-
hf download hf://varunril/lan_det/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/varunril/lan_det/resolve/main/training_args.bin
4.73 kB
- Xet hash:
- feea87893f205451a9c55d0954ba893c4964bf49fcf7348f3ee021d0a842003b
- Size of remote file:
- 4.73 kB
- SHA256:
- 056cee6adb1b2f1fcd2f38aa61d20cb381ad85614636d6b75ea4483a58612531
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