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 tokenizer.json from JMLizano/FinRL: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/JMLizano/FinRL/resolve/main/tokenizer.json
- Command line
-
hf download hf://JMLizano/FinRL/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/JMLizano/FinRL/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- e5d787c7c1b6127762c21ffe511f25e245032a9da2f0378a77ab3733ea541f30
- Size of remote file:
- 11.4 MB
- SHA256:
- 132c0fb88b2070b782a69e8833d01ab987b1198ec606df151512d91820abb758
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