Instructions to use Sjdan/switch_cls_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sjdan/switch_cls_2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, Wav2Vec2ForSpeechClassification processor = AutoProcessor.from_pretrained("Sjdan/switch_cls_2") model = Wav2Vec2ForSpeechClassification.from_pretrained("Sjdan/switch_cls_2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Sjdan/switch_cls_2: direct link, hf CLI and curl.
- Browser
- Download file 3.58 kB
-
https://huggingface.co/Sjdan/switch_cls_2/resolve/main/training_args.bin
- Command line
-
hf download hf://Sjdan/switch_cls_2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Sjdan/switch_cls_2/resolve/main/training_args.bin
3.58 kB
- Xet hash:
- e1a6785f4f4a5771cc427e68494a138932e09270cd4a9ba75be0d2ce699b5b56
- Size of remote file:
- 3.58 kB
- SHA256:
- b86e79edde880e057ae69085b7b749ff39a376d4b09ad847ce8bf52282d4c128
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