Reinforcement Learning
Transformers
Safetensors
qwen2_5_vl
image-text-to-text
vision-language
fine-grained-recognition
visual-reasoning
qwen
text-generation-inference
Instructions to use raja-kumar/DiVE-k-QWEN2.5-7B-CUB with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use raja-kumar/DiVE-k-QWEN2.5-7B-CUB with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("raja-kumar/DiVE-k-QWEN2.5-7B-CUB") model = AutoModelForImageTextToText.from_pretrained("raja-kumar/DiVE-k-QWEN2.5-7B-CUB") - Notebooks
- Google Colab
- Kaggle
| { | |
| "additional_special_tokens": [ | |
| "<|im_start|>", | |
| "<|im_end|>", | |
| "<|object_ref_start|>", | |
| "<|object_ref_end|>", | |
| "<|box_start|>", | |
| "<|box_end|>", | |
| "<|quad_start|>", | |
| "<|quad_end|>", | |
| "<|vision_start|>", | |
| "<|vision_end|>", | |
| "<|vision_pad|>", | |
| "<|image_pad|>", | |
| "<|video_pad|>" | |
| ], | |
| "eos_token": { | |
| "content": "<|im_end|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "pad_token": { | |
| "content": "<|endoftext|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| } | |
| } | |