Instructions to use Shilpagotur/Chatbot_RAG with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Shilpagotur/Chatbot_RAG with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-2b-it") model = PeftModel.from_pretrained(base_model, "Shilpagotur/Chatbot_RAG") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 04e3bd7ac9cc30458f778d90ed5e7d18f0ca6926be622550205b0324da9cccaa
- Size of remote file:
- 11.3 MB
- SHA256:
- a1f8a0b8f1cdd1d5d238ab2183c65c5fd883d95e1eb28ef242563510fa2b86b3
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