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
|
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
| 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 | |