Text Generation
PEFT
Safetensors
gpt_oss
lora
trading
policy-model
finance
reinforcement-learning
conversational
Instructions to use jun47/gpt-oss-20b-trading with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use jun47/gpt-oss-20b-trading with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("openai/gpt-oss-20b") model = PeftModel.from_pretrained(base_model, "jun47/gpt-oss-20b-trading") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 59f22360b51bf1a137fb80e14df310b4b249bed6cc64565aa0c401ca19ffcd04
- Size of remote file:
- 27.9 MB
- SHA256:
- 0614fe83cadab421296e664e1f48f4261fa8fef6e03e63bb75c20f38e37d07d3
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