Instructions to use Edens-Gate/Francois-CKPTs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Edens-Gate/Francois-CKPTs with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("PocketDoc/Dans-PersonalityEngine-V1.1.0-12b") model = PeftModel.from_pretrained(base_model, "Edens-Gate/Francois-CKPTs") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Edens-Gate/Francois-CKPTs: direct link, hf CLI and curl.
- Browser
- Download file 17.1 MB
-
https://huggingface.co/Edens-Gate/Francois-CKPTs/resolve/main/tokenizer.json
- Command line
-
hf download hf://Edens-Gate/Francois-CKPTs/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Edens-Gate/Francois-CKPTs/resolve/main/tokenizer.json
17.1 MB
- Xet hash:
- b255e2257cad1fa28364778e5677c8af6dc91f2a326d66caf22ef3cb019e4557
- Size of remote file:
- 17.1 MB
- SHA256:
- ee57bd3271d8c200a06df40f9d7c94f8bb8f085b5cfb2d40907a794560df2ec3
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