Instructions to use AramTM/ArmGame with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use AramTM/ArmGame with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("<base-model-id>") model.load_adapter("AramTM/ArmGame", set_active=True) - Notebooks
- Google Colab
- Kaggle
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Download README.md from AramTM/ArmGame: direct link, hf CLI and curl.
- Browser
- Download file 210 Bytes
-
https://huggingface.co/AramTM/ArmGame/resolve/refs%2Fpr%2F1/README.md
- Command line
-
hf download hf://AramTM/ArmGame@refs/pr/1/README.md
-
curl -L -o README.md https://huggingface.co/AramTM/ArmGame/resolve/refs%2Fpr%2F1/README.md
210 Bytes
metadata
language:
- hy
- en
metrics:
- character
base_model:
- black-forest-labs/FLUX.1-Kontext-dev
new_version: black-forest-labs/FLUX.1-Kontext-dev
pipeline_tag: translation
library_name: adapter-transformers