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
| { | |
| "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." | |
| } | |