Instructions to use JohnP1/d1a-e2b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use JohnP1/d1a-e2b with PEFT:
from peft import PeftModel from transformers import AutoModel base_model = AutoModel.from_pretrained("google/gemma-4-E2B") model = PeftModel.from_pretrained(base_model, "JohnP1/d1a-e2b") - Notebooks
- Google Colab
- Kaggle
Download head.pt from JohnP1/d1a-e2b: direct link, hf CLI and curl.
- Browser
- Download file 3.15 MB
-
https://huggingface.co/JohnP1/d1a-e2b/resolve/main/head.pt
- Command line
-
hf download hf://JohnP1/d1a-e2b/head.pt
-
curl -L -o head.pt https://huggingface.co/JohnP1/d1a-e2b/resolve/main/head.pt
3.15 MB
- Xet hash:
- d10d2ccaba6189d1ec78e35f3a1006a17e1b88f9f4ab507239a6dc7893e2066a
- Size of remote file:
- 3.15 MB
- SHA256:
- fb3173876e55edb96bc73fab852372f2e4f6a193e346d6cd80868c8bbdda6990
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