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:
- 3207db0be87444a9e9f32c01da504bc32600e3c5e46e74e1ebf1f2ab819a6ab1
- Size of remote file:
- 1.34 GB
- SHA256:
- eb1c7a07ffec2d46a76b37a422c9a0d24a0ce4cdf72997ed4461f400483e40ab
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