Instructions to use yrshi/AutoRefine-Qwen2.5-3B-Base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yrshi/AutoRefine-Qwen2.5-3B-Base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="yrshi/AutoRefine-Qwen2.5-3B-Base")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("yrshi/AutoRefine-Qwen2.5-3B-Base") model = AutoModelForMultimodalLM.from_pretrained("yrshi/AutoRefine-Qwen2.5-3B-Base") - Notebooks
- Google Colab
- Kaggle
Improve model card with pipeline tag, library name, and GitHub link
#1
by nielsr HF Staff - opened
This PR improves the model card by:
- Adding the
pipeline_tag: question-answeringto properly categorize the model. - Specifying the
library_name: transformersfor easier usage. - Ensuring a clear link to the GitHub repository is provided for code access and further details.
The existing license (cc-by-sa-4.0) is retained.
yrshi changed pull request status to merged