Instructions to use TnTerry/MEGL-LLaVA-Baseline-Object with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use TnTerry/MEGL-LLaVA-Baseline-Object with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("llava-hf/llava-1.5-7b-hf") model = PeftModel.from_pretrained(base_model, "TnTerry/MEGL-LLaVA-Baseline-Object") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d15f424c08a4e3c27ff9683795d77347d82db0e42390573707ba69eeed930426
- Size of remote file:
- 6.78 kB
- SHA256:
- ecb5c4e77493d6b6fd2ca53e6f13eaecbb140ab06a0f0c44421186f01576fb69
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