Instructions to use dimasik87/d92da16d-68e1-4598-a7e3-378a0232bf0a with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dimasik87/d92da16d-68e1-4598-a7e3-378a0232bf0a with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("UCLA-AGI/Gemma-2-9B-It-SPPO-Iter2") model = PeftModel.from_pretrained(base_model, "dimasik87/d92da16d-68e1-4598-a7e3-378a0232bf0a") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/trainer_state.json from dimasik87/d92da16d-68e1-4598-a7e3-378a0232bf0a: direct link, hf CLI and curl.
- Browser
- Download file 4.24 kB
-
https://huggingface.co/dimasik87/d92da16d-68e1-4598-a7e3-378a0232bf0a/resolve/c073a5b026c7abb2b41f73138b7a6ef3d600621e/last-checkpoint/trainer_state.json
- Command line
-
hf download hf://dimasik87/d92da16d-68e1-4598-a7e3-378a0232bf0a@c073a5b026c7abb2b41f73138b7a6ef3d600621e/last-checkpoint/trainer_state.json
-
curl -L -o trainer_state.json https://huggingface.co/dimasik87/d92da16d-68e1-4598-a7e3-378a0232bf0a/resolve/c073a5b026c7abb2b41f73138b7a6ef3d600621e/last-checkpoint/trainer_state.json
4.24 kB
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