Instructions to use HangHor/finrl_output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use HangHor/finrl_output with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/qwen3-4b-unsloth-bnb-4bit") model = PeftModel.from_pretrained(base_model, "HangHor/finrl_output") - Notebooks
- Google Colab
- Kaggle
Download trainer_state.json from HangHor/finrl_output: direct link, hf CLI and curl.
- Browser
- Download file 2.77 MB
-
https://huggingface.co/HangHor/finrl_output/resolve/main/trainer_state.json
- Command line
-
hf download hf://HangHor/finrl_output/trainer_state.json
-
curl -L -o trainer_state.json https://huggingface.co/HangHor/finrl_output/resolve/main/trainer_state.json
2.77 MB
File too large to display, you can check the raw version instead.