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 tokenizer.json from JohnP1/d1a-e2b-it: direct link, hf CLI and curl.
- Browser
- Download file 32.2 MB
-
https://huggingface.co/JohnP1/d1a-e2b-it/resolve/main/tokenizer.json
- Command line
-
hf download hf://JohnP1/d1a-e2b-it/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/JohnP1/d1a-e2b-it/resolve/main/tokenizer.json
32.2 MB
- Xet hash:
- c62336ad134cad6f154d84eb0e5a5fa9ca17cd665ef3ba5ac4fd02b1486760b4
- Size of remote file:
- 32.2 MB
- SHA256:
- cc8d3a0ce36466ccc1278bf987df5f71db1719b9ca6b4118264f45cb627bfe0f
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