Instructions to use levanduc/finReportGPT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use levanduc/finReportGPT with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Llama-2-7b-hf") model = PeftModel.from_pretrained(base_model, "levanduc/finReportGPT") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aca7702c3ddfe1c554b2729c4ce14a3535e46c53c9c21854777513c1f9135382
- Size of remote file:
- 4.41 kB
- SHA256:
- b116a966012c2490ab4590988c12dc0da400e0b690eab64bc92d671dff87da93
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.