Zero-Shot Classification
PEFT
Safetensors
decision-model
classification
calibration
kev
system-one
lora
pointer-head
Instructions to use dhtocks/malkuth-4b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dhtocks/malkuth-4b with PEFT:
from peft import PeftModel from transformers import AutoModel base_model = AutoModel.from_pretrained("Qwen/Qwen3.5-4B-Base") model = PeftModel.from_pretrained(base_model, "dhtocks/malkuth-4b") - Notebooks
- Google Colab
- Kaggle
Download head.pt from dhtocks/malkuth-4b: direct link, hf CLI and curl.
- Browser
- Download file 5.25 MB
-
https://huggingface.co/dhtocks/malkuth-4b/resolve/main/head.pt
- Command line
-
hf download hf://dhtocks/malkuth-4b/head.pt
-
curl -L -o head.pt https://huggingface.co/dhtocks/malkuth-4b/resolve/main/head.pt
5.25 MB
- Xet hash:
- b15b030f8d94f87562c3c79c99838273142c3a78ce673ea06fc2d95105cd69ed
- Size of remote file:
- 5.25 MB
- SHA256:
- 8e3e63bf28a0447f8b12f0479afc763d33c7d975f77bb1808a4857aca1bc80d3
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