Instructions to use Drop1313/Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use Drop1313/Model with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("<base-model-id>") model.load_adapter("Drop1313/Model", set_active=True) - Notebooks
- Google Colab
- Kaggle
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Download README.md from Drop1313/Model: direct link, hf CLI and curl.
- Browser
- Download file 222 Bytes
-
https://huggingface.co/Drop1313/Model/resolve/main/README.md
- Command line
-
hf download hf://Drop1313/Model/README.md
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curl -L -H "Authorization: Bearer $HF_TOKEN" -o README.md https://huggingface.co/Drop1313/Model/resolve/main/README.md
222 Bytes
metadata
datasets:
- fka/awesome-chatgpt-prompts
language:
- en
metrics:
- accuracy
base_model:
- stabilityai/stable-diffusion-3.5-large
new_version: stabilityai/stable-diffusion-3.5-large
library_name: adapter-transformers