Instructions to use YieldInc/kaistAI_cot_collection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use YieldInc/kaistAI_cot_collection with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-chat-hf") model = PeftModel.from_pretrained(base_model, "YieldInc/kaistAI_cot_collection") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 74b9f8b89e8776593a8feeb266cb69dbb2fe0b4080d0a991d1d67809a1410d0d
- Size of remote file:
- 73.3 MB
- SHA256:
- 9109c22313e1714b7100b302e4a4eb478d10e273fe7d7330e58fd9f94e7807b8
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