Image-Text-to-Text
PEFT
Safetensors
English
remote-sensing
temporal-understanding
multimodal
lora
earth-observation
qwen3-vl
conversational
Instructions to use Davidup1/GeoChrono with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Davidup1/GeoChrono with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-VL-4B-Instruct") model = PeftModel.from_pretrained(base_model, "Davidup1/GeoChrono") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3349f7707c9373de8d7128017c4c760d9d72549e7783026c07b79020f5ba5892
- Size of remote file:
- 105 MB
- SHA256:
- c4dd65869a57edbd96f9f58e85760aa763716eaa9e651c49386de8ada40aead2
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