Instructions to use j2100067/training_args with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use j2100067/training_args with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, Wav2Vec2ForSpeechClassification processor = AutoProcessor.from_pretrained("j2100067/training_args") model = Wav2Vec2ForSpeechClassification.from_pretrained("j2100067/training_args", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from j2100067/training_args: direct link, hf CLI and curl.
- Browser
- Download file 5.37 kB
-
https://huggingface.co/j2100067/training_args/resolve/main/training_args.bin
- Command line
-
hf download hf://j2100067/training_args/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/j2100067/training_args/resolve/main/training_args.bin
5.37 kB
- Xet hash:
- 2bd7eaa22d8614f98fdf5dde30395f7d67f0624e67c69aa41d9354746b380247
- Size of remote file:
- 5.37 kB
- SHA256:
- 3b7ad4b1da46fe405f5907652721cca30ab199bc59eb4dcf9aa6ea0c8d3805ad
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