---
library_name: peft
base_model: qresearch/doubutsu-2b-pt-378
license: apache-2.0
datasets:
- google/docci
language:
- en
pipeline_tag: image-text-to-text
---

# doubutsu-2b-lora-378-docci

An adapter for [qresearch/doubutsu-2b-pt-378](https://huggingface.co/qresearch/doubutsu-2b-pt-378) on DOCCI for 3 epochs.


## Usage

```python
import torch
from transformers import AutoModelForCausalLM, AutoTokenizer
from PIL import Image

model_id = "qresearch/doubutsu-2b-pt-378"
model = AutoModelForCausalLM.from_pretrained(
    model_id,
    trust_remote_code=True,
    torch_dtype=torch.float16,
).to("cuda")

tokenizer = AutoTokenizer.from_pretrained(
    model_id,
    use_fast=True,
)

model.load_adapter("qresearch/doubutsu-2b-lora-378-docci")

image = Image.open("IMAGE")

print(
    model.answer_question(
        image, "Describe the image", tokenizer, max_new_tokens=128, temperature=0.1
    ),
)
```

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```