Text Classification
PEFT
Safetensors
English
Japanese
d1a
decision-model
calibration
lora
gemma4
typesafe
system-one
pull-requests
on-device
experimental
Instructions to use JohnP1/d1a-e2b-it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use JohnP1/d1a-e2b-it with PEFT:
from peft import PeftModel from transformers import AutoModel base_model = AutoModel.from_pretrained("google/gemma-4-E2B-it") model = PeftModel.from_pretrained(base_model, "JohnP1/d1a-e2b-it") - Notebooks
- Google Colab
- Kaggle
Download head.pt from JohnP1/d1a-e2b-it: direct link, hf CLI and curl.
- Browser
- Download file 3.15 MB
-
https://huggingface.co/JohnP1/d1a-e2b-it/resolve/main/head.pt
- Command line
-
hf download hf://JohnP1/d1a-e2b-it/head.pt
-
curl -L -o head.pt https://huggingface.co/JohnP1/d1a-e2b-it/resolve/main/head.pt
3.15 MB
- Xet hash:
- ff9c39a92be4949bf743a9801f584f20d25ba24b77ab357b8096de619c5db832
- Size of remote file:
- 3.15 MB
- SHA256:
- 908a081adf907c32ae42b6acad03fa206b92fbf88aa785c8f40e8869c6e03cd6
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