Instructions to use myusup22/Trader with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastai
How to use myusup22/Trader with fastai:
from huggingface_hub import from_pretrained_fastai learn = from_pretrained_fastai("myusup22/Trader") - Notebooks
- Google Colab
- Kaggle
|
Download README.md from myusup22/Trader: direct link, hf CLI and curl.
- Browser
- Download file 232 Bytes
-
https://huggingface.co/myusup22/Trader/resolve/main/README.md
- Command line
-
hf download hf://myusup22/Trader/README.md
-
curl -L -o README.md https://huggingface.co/myusup22/Trader/resolve/main/README.md
232 Bytes
metadata
license: mit
datasets:
- nvidia/Llama-Nemotron-Post-Training-Dataset-v1
language:
- id
- en
metrics:
- accuracy
base_model:
- Qwen/QwQ-32B
new_version: Qwen/QwQ-32B
pipeline_tag: graph-ml
library_name: fastai
tags:
- finance