Instructions to use Sjdan/cls_asr_7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sjdan/cls_asr_7 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, Wav2Vec2ForSpeechClassification processor = AutoProcessor.from_pretrained("Sjdan/cls_asr_7") model = Wav2Vec2ForSpeechClassification.from_pretrained("Sjdan/cls_asr_7", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Sjdan/cls_asr_7: direct link, hf CLI and curl.
- Browser
- Download file 3.58 kB
-
https://huggingface.co/Sjdan/cls_asr_7/resolve/main/training_args.bin
- Command line
-
hf download hf://Sjdan/cls_asr_7/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Sjdan/cls_asr_7/resolve/main/training_args.bin
3.58 kB
- Xet hash:
- ff443339401dcbae81eef11fe36044f283d499b4edb7523ecb9b394788516199
- Size of remote file:
- 3.58 kB
- SHA256:
- 1b2149044392035c7a712d2faa699dac03109985a4fac829833c5cb9a159825e
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