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 optimizer.pt from HangHor/finrl_output: direct link, hf CLI and curl.
- Browser
- Download file 537 MB
-
https://huggingface.co/HangHor/finrl_output/resolve/main/optimizer.pt
- Command line
-
hf download hf://HangHor/finrl_output/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/HangHor/finrl_output/resolve/main/optimizer.pt
537 MB
- Xet hash:
- 6123435cc43807362273e376b473fcd5996fe772c22f513dd2f42689457fa59b
- Size of remote file:
- 537 MB
- SHA256:
- c874ac8e4f01fbd2b8e734cd77ecbcec2b75443cdd42785c8e8ad5c1d8fb50c0
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