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
Training in progress, step 30, checkpoint
Browse files
last-checkpoint/adapter_model.safetensors
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last-checkpoint/optimizer.pt
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last-checkpoint/rng_state.pth
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last-checkpoint/scheduler.pt
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last-checkpoint/trainer_state.json
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