Instructions to use Sjdan/cls_6ep1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sjdan/cls_6ep1 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, Wav2Vec2ForSpeechClassification processor = AutoProcessor.from_pretrained("Sjdan/cls_6ep1") model = Wav2Vec2ForSpeechClassification.from_pretrained("Sjdan/cls_6ep1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Sjdan/cls_6ep1: direct link, hf CLI and curl.
- Browser
- Download file 3.58 kB
-
https://huggingface.co/Sjdan/cls_6ep1/resolve/main/training_args.bin
- Command line
-
hf download hf://Sjdan/cls_6ep1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Sjdan/cls_6ep1/resolve/main/training_args.bin
3.58 kB
- Xet hash:
- 2b86dcf39d812307acfc6d985dd7f9b8c2dbf4a9fbecff2fb039a9c913bf0a48
- Size of remote file:
- 3.58 kB
- SHA256:
- 9aac3cbce01977e13a644f417eb543663c5e6a0937b2a92ec11d355723ee6054
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