Instructions to use 78ragnarok/videoforge with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use 78ragnarok/videoforge with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("<base-model-id>") model.load_adapter("78ragnarok/videoforge", set_active=True) - Notebooks
- Google Colab
- Kaggle
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Download README.md from 78ragnarok/videoforge: direct link, hf CLI and curl.
- Browser
- Download file 232 Bytes
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https://huggingface.co/78ragnarok/videoforge/resolve/main/README.md
- Command line
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hf download hf://78ragnarok/videoforge/README.md
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curl -L -o README.md https://huggingface.co/78ragnarok/videoforge/resolve/main/README.md
232 Bytes
| datasets: | |
| - openai/MMMLU | |
| language: | |
| - es | |
| metrics: | |
| - accuracy | |
| base_model: | |
| - microsoft/Phi-3.5-vision-instruct | |
| new_version: mattshumer/Reflection-Llama-3.1-70B | |
| pipeline_tag: image-segmentation | |
| library_name: adapter-transformers | |