Robotics
Transformers
Safetensors
paligemma
image-text-to-text
vision-language-action
chain-of-thought
embodied-ai
text-generation-inference
Instructions to use yinchenghust/deepthinkvla_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yinchenghust/deepthinkvla_base with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("yinchenghust/deepthinkvla_base") model = AutoModelForImageTextToText.from_pretrained("yinchenghust/deepthinkvla_base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 58e6c70dcaf3e8da2acb1712affcda2557364a5bec1729432928c6938fa06369
- Size of remote file:
- 17.5 MB
- SHA256:
- ef6773c135b77b834de1d13c75a4c98ab7a3684ffd602d1831e1f1bf5467c563
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