Instructions to use kingjux/ffmpeg-command-generator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kingjux/ffmpeg-command-generator with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("kingjux/ffmpeg-command-generator", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2ca09f421d1065dedbbc0cd2a47606d0fa4dbbf112213226a03465824a152da4
- Size of remote file:
- 35.2 MB
- SHA256:
- e72ef7fdf01f1b972370147b488ad8057e09ce5bf90402116577a0e62b403871
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