Instructions to use plotMaker/structeval-1-2-lr2e5-ep2-seq1024 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use plotMaker/structeval-1-2-lr2e5-ep2-seq1024 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/qwen3-4b-instruct-2507-unsloth-bnb-4bit") model = PeftModel.from_pretrained(base_model, "plotMaker/structeval-1-2-lr2e5-ep2-seq1024") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5a0d6fa5c9a8a25e5cddfba30ae9abe6a4df74a8014f58398e7bcb387f38c265
- Size of remote file:
- 529 MB
- SHA256:
- aaa69ddaedcbd59ae0f9cc66c803af7a54d064e0cc5abbb9d9cb0c3e2d0757ed
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