Zero-Shot Classification
PEFT
Safetensors
English
lev
system-one
decision-model
calibrated-decisions
classification
routing
moderation
lora
Instructions to use helmo/lev with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use helmo/lev with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3.5-4B") model = PeftModel.from_pretrained(base_model, "helmo/lev") - Notebooks
- Google Colab
- Kaggle
Download assets/hero.png from helmo/lev: direct link, hf CLI and curl.
- Browser
- Download file 151 kB
-
https://huggingface.co/helmo/lev/resolve/main/assets/hero.png
- Command line
-
hf download hf://helmo/lev/assets/hero.png
-
curl -L -o hero.png https://huggingface.co/helmo/lev/resolve/main/assets/hero.png
151 kB

- Xet hash:
- 12c55c66f096b81f7fc032a7780c77100598e6459da533e492de730e4abc2ec4
- Size of remote file:
- 151 kB
- SHA256:
- a8d0d817ad2fd121347f51e61b268ed176f37a13c8e4487f4e17c0a60ef2c6c8
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