Video-Text-to-Text
Transformers
Safetensors
English
molmo2
image-text-to-text
multimodal
olmo
molmo
custom_code
4-bit precision
bitsandbytes
Instructions to use Cycl0/Molmo2-VideoPoint-4B-bnb-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Cycl0/Molmo2-VideoPoint-4B-bnb-4bit with Transformers:
# Load model directly from transformers import AutoModelForImageTextToText model = AutoModelForImageTextToText.from_pretrained("Cycl0/Molmo2-VideoPoint-4B-bnb-4bit", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3746482cb25237b57c6467f38231f0bb8f182ab8c1f1e606c290e3761d2f9742
- Size of remote file:
- 11.5 MB
- SHA256:
- 95e80901c901584f416b8fd4349fd60022774b89ba4377626511f0562cc599f7
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