Instructions to use nmslmgl/SSVAL-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nmslmgl/SSVAL-7B with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("./checkpoints/Qwen2.5-7B-Instruct") model = PeftModel.from_pretrained(base_model, "nmslmgl/SSVAL-7B") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 16209a68a2f6a7ab95f0ece27614eaeeec1a76855739d026dd954dff19965be9
- Size of remote file:
- 174 MB
- SHA256:
- 2b0048ce10fc6559022ed86dfb3df210daaac2ed1452bd868f108caca08e8039
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