Instructions to use fitlemon/language_detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fitlemon/language_detector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="fitlemon/language_detector")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("fitlemon/language_detector") model = AutoModelForAudioClassification.from_pretrained("fitlemon/language_detector", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from fitlemon/language_detector: direct link, hf CLI and curl.
- Browser
- Download file 4.92 kB
-
https://huggingface.co/fitlemon/language_detector/resolve/main/training_args.bin
- Command line
-
hf download hf://fitlemon/language_detector/training_args.bin
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curl -L -o training_args.bin https://huggingface.co/fitlemon/language_detector/resolve/main/training_args.bin
4.92 kB
- Xet hash:
- 9799cfd1f67a866ff1c2dfe39d3d94a2322e70bd8015e2404da78cda36cc335a
- Size of remote file:
- 4.92 kB
- SHA256:
- 204171e00bdcda374076515db66c19b5113d1769933cf13cc51e7e3aec549914
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