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:
- 7d2101f0d9fb3a990e32cdfe6a6b09011c55d97a7556ccfb45c50763edecb8ea
- Size of remote file:
- 14.2 kB
- SHA256:
- 41e3979a90bdd1b73b3fde68d670e4b465e7c39fb2fdff0471d1c36c390ed15f
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