Zero-Shot Classification
PEFT
Safetensors
decision-model
classification
calibration
kev
system-one
lora
pointer-head
Instructions to use dhtocks/malkuth-2b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dhtocks/malkuth-2b with PEFT:
from peft import PeftModel from transformers import AutoModel base_model = AutoModel.from_pretrained("empero-ai/Qwen3.8-2B-Distill") model = PeftModel.from_pretrained(base_model, "dhtocks/malkuth-2b") - Notebooks
- Google Colab
- Kaggle
Download head.pt from dhtocks/malkuth-2b: direct link, hf CLI and curl.
- Browser
- Download file 4.2 MB
-
https://huggingface.co/dhtocks/malkuth-2b/resolve/main/head.pt
- Command line
-
hf download hf://dhtocks/malkuth-2b/head.pt
-
curl -L -o head.pt https://huggingface.co/dhtocks/malkuth-2b/resolve/main/head.pt
4.2 MB
- Xet hash:
- 910dfd24e2265ee18b2dc6cb1c06a3f1ab7f21830da0d9a6e9d58063141767f8
- Size of remote file:
- 4.2 MB
- SHA256:
- ba758c41bfa51be5dd79e3a7bd27476f88b0ed82be989c106240353fe1459a1c
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