Instructions to use JMLizano/FinRL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use JMLizano/FinRL 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, "JMLizano/FinRL") - Notebooks
- Google Colab
- Kaggle
Download trainer_state.json from JMLizano/FinRL: direct link, hf CLI and curl.
- Browser
- Download file 947 kB
-
https://huggingface.co/JMLizano/FinRL/resolve/main/trainer_state.json
- Command line
-
hf download hf://JMLizano/FinRL/trainer_state.json
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curl -L -o trainer_state.json https://huggingface.co/JMLizano/FinRL/resolve/main/trainer_state.json
947 kB
File too large to display, you can check the raw version instead.