Video-Text-to-Text
Transformers
Safetensors
English
qwen2
text-generation
Action
Video
MQA
multimodal
MLLMs
LLaVAction
text-generation-inference
Instructions to use MLAdaptiveIntelligence/LLaVAction-0.5B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MLAdaptiveIntelligence/LLaVAction-0.5B with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("MLAdaptiveIntelligence/LLaVAction-0.5B") model = AutoModelForCausalLM.from_pretrained("MLAdaptiveIntelligence/LLaVAction-0.5B") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f525276a60b25f08e585b8b2c0baabb1d5f42f02d642dde3a3b3f354c04f059e
- Size of remote file:
- 7.61 kB
- SHA256:
- 57a1fec0e3217f4518f17bfb47240aa4fead37b9068c8f05e4e2908b2867e6f9
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