Instructions to use wittysarcasm/modelN with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use wittysarcasm/modelN with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("<base-model-id>") model.load_adapter("wittysarcasm/modelN", set_active=True) - Notebooks
- Google Colab
- Kaggle
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Download README.md from wittysarcasm/modelN: direct link, hf CLI and curl.
- Browser
- Download file 334 Bytes
-
https://huggingface.co/wittysarcasm/modelN/resolve/main/README.md
- Command line
-
hf download hf://wittysarcasm/modelN/README.md
-
curl -L -o README.md https://huggingface.co/wittysarcasm/modelN/resolve/main/README.md
334 Bytes
metadata
datasets:
- stanfordnlp/imdb
- HuggingFaceTB/finemath
- HuggingFaceFW/fineweb-2
- Chaser-cz/DPO_Pairs-Roleplay-NSFW
metrics:
- accuracy
base_model:
- black-forest-labs/FLUX.1-dev
- city96/Flux.1-Heavy-17B
- lustlyai/Flux_Lustly.ai_Uncensored_nsfw_v1
new_version: black-forest-labs/FLUX.1-dev
library_name: adapter-transformers