| base_model: vidore/colpaligemma-3b-mix-448-base | |
| library_name: peft | |
| # Model Card for Model ID | |
| <!-- Provide a quick summary of what the model is/does. --> | |
| ## Model Details | |
| ### Model Description | |
| <!-- Provide a longer summary of what this model is. --> | |
| - **Model type:** PaliGemma | |
| - **Finetuned from model [optional]:** vidore/colpali-v1.2 | |
| ## Uses | |
| This model is finetuned from `vidore/colpali-v1.2` using the PEFT library. To use this model, you can use the following code: | |
| ```python | |
| from transformers import AutoModelForCausalLM, AutoTokenizer | |
| from peft import PeftModel | |
| ### This will load the basemodel ### | |
| # Load the base model | |
| model_name = "colpali_finetuned" | |
| model = AutoModelForCausalLM.from_pretrained(model_name) | |
| # Load the tokenizer | |
| tokenizer = AutoTokenizer.from_pretrained(model_name) | |
| ### This will load the adapter model ### | |
| peft_model_path='colpali_finetuned/checkpoint-587' | |
| model = PeftModel.from_pretrained(peft_model_path) | |
| ``` | |
| - PEFT 0.11.1 |