Instructions to use kingjux/ffmpeg-command-generator-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kingjux/ffmpeg-command-generator-v2 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("kingjux/ffmpeg-command-generator-v2", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0f2f62504c13419a3b69ef756af3c05f43d450405f7ed43b5ca73c030d86b019
- Size of remote file:
- 6.29 kB
- SHA256:
- d333eb2a69a80ac301e94029100878fcd6125f5efb5762f1e0c81fa14423ee5e
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