Instructions to use mksethi/khalsaa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mksethi/khalsaa with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-2b") model = PeftModel.from_pretrained(base_model, "mksethi/khalsaa") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7239c6b4949645f20463e61e4908dfe372a267d997e70678822603505891f7e1
- Size of remote file:
- 4.98 kB
- SHA256:
- ec1b94517f5b84804ef192fcd2ac4dced843d223a144651d9ba51f7b2e6c888e
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