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:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Ryann829/Scone", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Update pipeline tag and add library name
Verified signatureThis PR updates the model card to enhance its discoverability and usability on the Hugging Face Hub. Specifically: - The `pipeline_tag` is updated from `image-text-to-image` to `text-to-image` as per the Hugging Face guidelines for subject-driven image generation models. - The `library_name: transformers` is added, as evidenced by the `tokenizer_class: Qwen2Tokenizer`, `architectures: Qwen2ForCausalLM`, and `transformers_version` found in the model's configuration files. This will enable the automated code snippet for seamless model usage. Please review these changes.8dd48b9 -
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