Instructions to use FluffyAIcode/Kakeya-OProver-Stage3-DPO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use FluffyAIcode/Kakeya-OProver-Stage3-DPO with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("m-a-p/OProver-8B") model = PeftModel.from_pretrained(base_model, "FluffyAIcode/Kakeya-OProver-Stage3-DPO") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from FluffyAIcode/Kakeya-OProver-Stage3-DPO: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/FluffyAIcode/Kakeya-OProver-Stage3-DPO/resolve/main/tokenizer.json
- Command line
-
hf download hf://FluffyAIcode/Kakeya-OProver-Stage3-DPO/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/FluffyAIcode/Kakeya-OProver-Stage3-DPO/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- 058e5973e2cf6479d6a781bdf56bc1e2e1b9fb478f04bf2bf6dd62eae23d831a
- Size of remote file:
- 11.4 MB
- SHA256:
- 217e7242c0cafb50790f703bb14e062966b997a1bc8dc980e11240f5f1d06d27
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