Instructions to use TIGER-Lab/ABC-Qwen2VL-Instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use TIGER-Lab/ABC-Qwen2VL-Instruct with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2-VL-7B-Instruct") model = PeftModel.from_pretrained(base_model, "TIGER-Lab/ABC-Qwen2VL-Instruct") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -24,14 +24,14 @@ This model is trained on top of Qwen2VL-Instruct.
|
|
| 24 |
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 25 |
|
| 26 |
**BibTeX:**
|
| 27 |
-
|
| 28 |
-
|
| 29 |
-
|
| 30 |
-
|
| 31 |
-
|
| 32 |
-
|
| 33 |
-
|
| 34 |
-
|
| 35 |
-
|
| 36 |
-
|
| 37 |
-
|
|
|
|
| 24 |
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 25 |
|
| 26 |
**BibTeX:**
|
| 27 |
+
```
|
| 28 |
+
@misc{schneider2025abcachievingbettercontrol,
|
| 29 |
+
title={ABC: Achieving Better Control of Multimodal Embeddings using VLMs},
|
| 30 |
+
author={Benjamin Schneider and Florian Kerschbaum and Wenhu Chen},
|
| 31 |
+
year={2025},
|
| 32 |
+
eprint={2503.00329},
|
| 33 |
+
archivePrefix={arXiv},
|
| 34 |
+
primaryClass={cs.CV},
|
| 35 |
+
url={https://arxiv.org/abs/2503.00329},
|
| 36 |
+
}
|
| 37 |
+
```
|