Video-Text-to-Text
Transformers
Safetensors
English
qwen3_vl
image-text-to-text
video-understanding
reward-model
computer-use
qwen3-vl
multimodal
Instructions to use lime-nlp/ExeVRM-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lime-nlp/ExeVRM-8B with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("lime-nlp/ExeVRM-8B") model = AutoModelForMultimodalLM.from_pretrained("lime-nlp/ExeVRM-8B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download merges.txt from lime-nlp/ExeVRM-8B: direct link, hf CLI and curl.
- Browser
- Download file 1.67 MB
-
https://huggingface.co/lime-nlp/ExeVRM-8B/resolve/main/merges.txt
- Command line
-
hf download hf://lime-nlp/ExeVRM-8B/merges.txt
-
curl -L -o merges.txt https://huggingface.co/lime-nlp/ExeVRM-8B/resolve/main/merges.txt
1.67 MB
File too large to display, you can check the raw version instead.