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:
- 038a515bc3ccc017c2e986086cac18ee7a76eba3399a9d8a72fd45cea4342ca2
- Size of remote file:
- 7.57 kB
- SHA256:
- 01da09bbc8b96a1d69ed089bbe5658e7fb3f704d1f5a51239b67f944ff0d92a4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.