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
-
https://huggingface.co/78ragnarok/videoforge/resolve/main/README.md
- Command line
-
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
metadata
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