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:
- ba691b54da0da85746702e6e13498db109db867635f95f44c05078aa379aaf03
- Size of remote file:
- 17.7 MB
- SHA256:
- a54a6de5b6e420bfa7abf6ce66fba3c3f0ff2fd6dda70bbccf3918ced1b6b983
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