Instructions to use Chamaka8/SerendipLLM-news-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Chamaka8/SerendipLLM-news-classifier with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Chamaka8/Serendip-LLM-CPT-SFT-v2") model = PeftModel.from_pretrained(base_model, "Chamaka8/SerendipLLM-news-classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a8ca12fc6d29d7a468d63dc6c5374b91dbb98175d9fa5c31d526cecb514d4065
- Size of remote file:
- 17.2 MB
- SHA256:
- f984a5b5fd2f7f3cb1f9fa1f9b85008256dd5127b6fbc05ec4c49dd1194762d3
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