Image-Text-to-Text
PEFT
Safetensors
lora
sft
satellite-imagery
wildfire-detection
sentinel-2
remote-sensing
liquid-ai
hackathon
conversational
Instructions to use YujiYamaguchi/lfm2-5-vl-450m-wildfire with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use YujiYamaguchi/lfm2-5-vl-450m-wildfire with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("LiquidAI/LFM2.5-VL-450M") model = PeftModel.from_pretrained(base_model, "YujiYamaguchi/lfm2-5-vl-450m-wildfire") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6e1593875e221d2504230fb0fd37fc5fbded1b89da898c967e01894fd5e64960
- Size of remote file:
- 29.3 MB
- SHA256:
- da003c9d61c9ed7c41e7e577a0aba9c486ef9a4ed9df000901de569063471b83
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