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/VideoThinker-R1-Bias-3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Falconss1/VideoThinker-R1-Bias-3B with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("Falconss1/VideoThinker-R1-Bias-3B") model = AutoModelForImageTextToText.from_pretrained("Falconss1/VideoThinker-R1-Bias-3B") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e3fb02808e2a2a78ca51a3c58cd4c4c33fa27c699e3cb00ca99dbd89f32164e3
- Size of remote file:
- 8.25 kB
- SHA256:
- 058340f0b14a4b710d094261331d2a158173b6130e9c0fd9dd326328b26f6ec9
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