Instructions to use iLearn-Lab/CVPRW26-ChartLens with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use iLearn-Lab/CVPRW26-ChartLens with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/data2/caoruping/DataMFM/models/granite-vision-4.1-4b") model = PeftModel.from_pretrained(base_model, "iLearn-Lab/CVPRW26-ChartLens") - Notebooks
- Google Colab
- Kaggle
Add pipeline tag, library name and link to paper
#1
by nielsr HF Staff - opened
Hi! I'm Niels from the Hugging Face community team.
This PR improves your model card by:
- Adding the
image-text-to-textpipeline tag for better discoverability. - Specifying
library_name: peftand linking thebase_model(ibm-granite/granite-vision-4.1-4b) since this is a LoRA adapter. - Linking the research paper to the repository.
Feel free to merge if this looks good to you!
LIU1712 changed pull request status to merged