Instructions to use Ryann829/Scone with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ryann829/Scone with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Ryann829/Scone", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Update pipeline tag and add library name
#1
by nielsr HF Staff - opened
This PR updates the model card to enhance its discoverability and usability on the Hugging Face Hub. Specifically:
- The
pipeline_tagis updated fromimage-text-to-imagetotext-to-imageas per the Hugging Face guidelines for subject-driven image generation models. - The
library_name: transformersis added, as evidenced by thetokenizer_class: Qwen2Tokenizer,architectures: Qwen2ForCausalLM, andtransformers_versionfound in the model's configuration files. This will enable the automated code snippet for seamless model usage.
Please review these changes.
Ryann829 changed pull request status to merged