Video-Text-to-Text
Transformers
Safetensors
English
qwen2
text-generation
Action
Video
MQA
multimodal
VLM
LLaVAction
MLLMs
Eval Results (legacy)
text-generation-inference
Instructions to use MLAdaptiveIntelligence/LLaVAction-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MLAdaptiveIntelligence/LLaVAction-7B with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("MLAdaptiveIntelligence/LLaVAction-7B") model = AutoModelForCausalLM.from_pretrained("MLAdaptiveIntelligence/LLaVAction-7B") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4ac8174846defb32351d1df31e063a5227fbb7c558bf5709be6f005a7739e0bc
- Size of remote file:
- 1.29 GB
- SHA256:
- 86a5b5c8aa734a9bff7e25e388c49be5106b66f48a1dce8f55994c6a9a5b1229
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