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:
- 5c82e497c1c6578a41bd7c8e3fb8d0622b410e6e9bcd22d24d86fb5c34c9017f
- Size of remote file:
- 134 MB
- SHA256:
- 32252d57d97e02e4015493bc4c6e3e20030c12d29ba4dfdce3d30db5fe3b8e01
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