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:
- def2f10f8a7fb21d5529de9472487348eaad2166f63d40e33977fae4dd3f7a4a
- Size of remote file:
- 671 MB
- SHA256:
- 53e472c5cbce82a688f23cda1d087c1538796e2af2ae160945aabdc1675441c1
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