Instructions to use Saurabh4509/Checks with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Saurabh4509/Checks with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/llama-3-8b-Instruct-bnb-4bit") model = PeftModel.from_pretrained(base_model, "Saurabh4509/Checks") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 771062bd7f219c8ace1ab3f18f02013b4412dbbefe46d6932c659ef92d58c3be
- Size of remote file:
- 1.34 GB
- SHA256:
- b421faccb835c37493bf07ce2ff096a675de06340a3eff327efc072759694b46
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