PEFT
Safetensors
lora
trl
sft
lfm2.5-vl
satellite-imagery
paired-image
civilian-infrastructure
conflict-disruption
blackline-atlas
Instructions to use ChrisRPL/lfm25-vl-civilian-conflict-reporter-lora-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ChrisRPL/lfm25-vl-civilian-conflict-reporter-lora-v1 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, "ChrisRPL/lfm25-vl-civilian-conflict-reporter-lora-v1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bc567493be28cc016d776aee4db57c6515661efe5013ce4841306a3442871250
- Size of remote file:
- 5.91 kB
- SHA256:
- c413ca63ffd51dc748cbff8c4affcae393fc92bdd5bb99e990d9659c415e8629
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