---
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