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:
- 335226c37c8f10f73a0d8a78801c47da940b767e0db12834571e0dfdbdb5d5e3
- Size of remote file:
- 269 MB
- SHA256:
- 40c95e0ae146906503b4b7d6321591765f054935d5fdf50590739828fc596fa9
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