Instructions to use doraking/finpath-autoscientist-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use doraking/finpath-autoscientist-model with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("togethercomputer/gpt-oss-20b-bf16") model = PeftModel.from_pretrained(base_model, "doraking/finpath-autoscientist-model") - Notebooks
- Google Colab
- Kaggle
File size: 307 Bytes
908c71f | 1 2 3 4 5 6 7 8 9 10 11 12 | {
"title": "FinPath AutoScientist Model",
"id": "dorakingx/finpath-autoscientist-model",
"licenses": [
{
"name": "Apache 2.0"
}
],
"subtitle": "AutoScientist LoRA for grounded personal finance reasoning",
"description": "LoRA adapter weights, model card, and training metadata."
}
|