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:
- b4b05fb4824459b626d481264335ee5498f0696b1fd53f3b4eec52d6b5fe0d0d
- Size of remote file:
- 1.34 GB
- SHA256:
- 8d22d61bf05808cfac31cac61f576bc074ad379251779519c0a6dc4cb6b3b36c
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