Instructions to use thekrishna/llama2-7b-chat-banking77 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use thekrishna/llama2-7b-chat-banking77 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, "thekrishna/llama2-7b-chat-banking77") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3af72741c78b5a04b0ec0c35460d6da8f3f9be2cc3e26d8f7dca612efb165c38
- Size of remote file:
- 134 MB
- SHA256:
- 93112843d00a701802d9b9d1276138bd2ef90ca6dd453b32de2b589fce342445
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.