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
- Xet hash:
- 3661e1579896d2b896d732e8bbe422a1f6530dff8e2685f2b02314dd3e5a8667
- Size of remote file:
- 1.47 kB
- SHA256:
- 160c21eb5b9dc05715533408308be9af374813d83f0b6f67e1a9bf3c2b6c0047
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