Instructions to use Rasi1610/LMS_Chatbot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Rasi1610/LMS_Chatbot with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TheBloke/zephyr-7B-alpha-GPTQ") model = PeftModel.from_pretrained(base_model, "Rasi1610/LMS_Chatbot") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a48c9f402d3a1b00ebf58a9ae7d07d719c7f3cbb582aae2ea06dc0173abfe05d
- Size of remote file:
- 54.6 MB
- SHA256:
- 6bd08ecf7ad2e41d552014d47e9764d49392a9088e3c402222c0cb2e03667af3
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