Instructions to use Sjdan/C3_2_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sjdan/C3_2_1 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, Wav2Vec2ForSpeechClassification processor = AutoProcessor.from_pretrained("Sjdan/C3_2_1") model = Wav2Vec2ForSpeechClassification.from_pretrained("Sjdan/C3_2_1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Sjdan/C3_2_1: direct link, hf CLI and curl.
- Browser
- Download file 3.52 kB
-
https://huggingface.co/Sjdan/C3_2_1/resolve/main/training_args.bin
- Command line
-
hf download hf://Sjdan/C3_2_1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Sjdan/C3_2_1/resolve/main/training_args.bin
3.52 kB
- Xet hash:
- 803d7cf73736f558a82c6890fba835dd1feea38bb77286e93a068a3fe773f99a
- Size of remote file:
- 3.52 kB
- SHA256:
- ade63338be1051419ad8c56a902eb75083f11a0e25fff5ad75730278c524da34
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