Video-Text-to-Text
Transformers
Safetensors
English
qwen2_5_vl
image-text-to-text
video-understanding
reasoning
multimodal
reinforcement-learning
question-answering
text-generation-inference
Instructions to use Falconss1/TW-GRPO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Falconss1/TW-GRPO with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("Falconss1/TW-GRPO") model = AutoModelForImageTextToText.from_pretrained("Falconss1/TW-GRPO") - Notebooks
- Google Colab
- Kaggle
Add library_name and pipeline_tag to metadata
#1
by nielsr HF Staff - opened
This PR adds the library_name and pipeline_tag to the model card metadata. The library_name is set to transformers as the model utilizes the transformers library. The pipeline_tag is set to video-text-to-text as the model processes video and text inputs to generate text outputs.
Falconss1 changed pull request status to merged
Thanks for your help!!