Video-Text-to-Text
Transformers
Safetensors
qwen3_vl
image-text-to-text
eventlens
video-understanding
temporal-grounding
reinforcement-learning
on-policy-distillation
Instructions to use Lostgreen/EventLens-4B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Lostgreen/EventLens-4B with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("Lostgreen/EventLens-4B") model = AutoModelForMultimodalLM.from_pretrained("Lostgreen/EventLens-4B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Lostgreen/EventLens-4B: direct link, hf CLI and curl.
- Browser
- Download file 7.03 MB
-
https://huggingface.co/Lostgreen/EventLens-4B/resolve/main/tokenizer.json
- Command line
-
hf download hf://Lostgreen/EventLens-4B/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Lostgreen/EventLens-4B/resolve/main/tokenizer.json
7.03 MB
File too large to display, you can check the raw version instead.