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NemoStation
/
Marlin-2B

Video-Text-to-Text
Transformers
Safetensors
English
qwen3_5
text-generation
video
multimodal
video-captioning
temporal-grounding
qwen
VLM
custom_code
Model card Files Files and versions
xet
Community
11

Instructions to use NemoStation/Marlin-2B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use NemoStation/Marlin-2B with Transformers:

    # Load model directly
    from transformers import AutoProcessor, AutoModelForCausalLM
    
    processor = AutoProcessor.from_pretrained("NemoStation/Marlin-2B", trust_remote_code=True)
    model = AutoModelForCausalLM.from_pretrained("NemoStation/Marlin-2B", trust_remote_code=True)
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Request GGUF of the model

1
#11 opened 21 days ago by
FlameF0X

use marlin on a remote GPU machine ? third party providers ?

1
#9 opened about 1 month ago by
smoonz

Inference speed

4
#8 opened about 1 month ago by
tintwotin

This model work by feeding multi sampling frame from video or raw video file?

1
#7 opened about 1 month ago by
CT-Ati

Collaboration Opportunity

#6 opened about 1 month ago by
Phase-Technologies

Train on own videos / labels?

🔥 1
3
#5 opened about 1 month ago by
horsto

Can you use this model with image and text-only inputs apart from video?

3
#4 opened about 1 month ago by
lunahr

Question about the evaluation metrics for captioning benchmarks

2
#3 opened about 2 months ago by
ygyjrc
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