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") - Notebooks
- Google Colab
- Kaggle
Upload README.md with huggingface_hub
Browse files
README.md
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### Environment Requirements
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```bash
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pip install
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pip install pillow opencv-python
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pip install llamafactory
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```
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### Configuration
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### Environment Requirements
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```bash
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pip install -r requirements.txt
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```
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### Configuration
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