Text Classification
PEFT
Safetensors
English
Japanese
d1a
decision-model
calibration
lora
gemma4
typesafe
system-one
pull-requests
Instructions to use JohnP1/d1a-e4b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use JohnP1/d1a-e4b with PEFT:
from peft import PeftModel from transformers import AutoModel base_model = AutoModel.from_pretrained("google/gemma-4-E4B") model = PeftModel.from_pretrained(base_model, "JohnP1/d1a-e4b") - Notebooks
- Google Colab
- Kaggle
Download head.pt from JohnP1/d1a-e4b: direct link, hf CLI and curl.
- Browser
- Download file 5.25 MB
-
https://huggingface.co/JohnP1/d1a-e4b/resolve/main/head.pt
- Command line
-
hf download hf://JohnP1/d1a-e4b/head.pt
-
curl -L -o head.pt https://huggingface.co/JohnP1/d1a-e4b/resolve/main/head.pt
5.25 MB
- Xet hash:
- 886a19e2222474020e5f4eb3adb3d8826355075a5853bf1ba9155e33817c03a7
- Size of remote file:
- 5.25 MB
- SHA256:
- 2667bf7b3162ceea019ecb775c1599ea27490c570a978f3071b274f448cfa637
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