Instructions to use ATTLAB/quantumaurora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastai
How to use ATTLAB/quantumaurora with fastai:
from huggingface_hub import from_pretrained_fastai learn = from_pretrained_fastai("ATTLAB/quantumaurora") - Notebooks
- Google Colab
- Kaggle
metadata
license: mit
datasets:
- meta-llama/Llama-3.3-70B-Instruct-evals
- meta-llama/Llama-3.2-1B-Instruct-evals
language:
- en
- ar
- yo
- ha
- ig
- pt
- es
metrics:
- code_eval
base_model:
- deepseek-ai/DeepSeek-V3
- deepseek-ai/DeepSeek-V3-Base
- meta-llama/Llama-3.3-70B-Instruct
new_version: deepseek-ai/DeepSeek-V3
pipeline_tag: token-classification
library_name: fastai
tags:
- code
- art
- chemistry