Robotics
Transformers
Safetensors
English
glm4v
image-text-to-text
computer-vision
spatial-reasoning
vision-language-model
multi-modal
fine-tuned
Instructions to use hany01rye/TIGeR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hany01rye/TIGeR with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("hany01rye/TIGeR") model = AutoModelForMultimodalLM.from_pretrained("hany01rye/TIGeR", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 78f0efa9d0db2d36f3b417520ccac289ad819592fabdd23c5cf3f5a422efbde2
- Size of remote file:
- 20 MB
- SHA256:
- 101316610e090352dfb245a9ad884f7ef1c98d218e0084b01df053f5de10a742
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