PEFT
Safetensors
blackline-atlas
lfm2.5-vl
lora
satellite-imagery
sentinel-2
simsat
vision-language-model
civilian-disruption-triage
source-led-evidence
humanitarian
Eval Results (legacy)
Instructions to use ChrisRPL/blackline-atlas-lfm25-vl-sft-hf-corpus-full-v1b-adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ChrisRPL/blackline-atlas-lfm25-vl-sft-hf-corpus-full-v1b-adapter 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/blackline-atlas-lfm25-vl-sft-hf-corpus-full-v1b-adapter") - Notebooks
- Google Colab
- Kaggle