Instructions to use rajaswa-postman/es_chat_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use rajaswa-postman/es_chat_lora 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, "rajaswa-postman/es_chat_lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 67dbad6fa1ce6b88c750d0886b534450414ac6d1a6465b1c7b923b3649851d4e
- Size of remote file:
- 3.96 kB
- SHA256:
- 749754d16ecc441d6321078d0e77319810825d99a8e9a16ade14a4be4f13a650
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.