Any-to-Any
Transformers
Safetensors
English
Chinese
qwen2_5_vl
text-generation
text-generation-inference
Instructions to use PaDT-MLLM/PaDT_OVD_7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PaDT-MLLM/PaDT_OVD_7B with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSeq2SeqLM processor = AutoProcessor.from_pretrained("PaDT-MLLM/PaDT_OVD_7B") model = AutoModelForSeq2SeqLM.from_pretrained("PaDT-MLLM/PaDT_OVD_7B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update model card: Add `transformers` library, correct pipeline tag, and refine paper link label
#1
by nielsr HF Staff - opened
This PR enhances the model card by:
- Setting the primary
pipeline_tagtozero-shot-object-detectionto better reflect the model's key visual grounding capabilities. The originalimage-text-to-textis added as an additional tag. - Adding
library_name: transformersto enable the automated usage snippet and improve discoverability, based on the model's demonstrated compatibility with the library. - Refining the label for the paper link from "Tech Report" to "Paper".
PaDT-MLLM changed pull request status to closed