Text Classification
PEFT
Safetensors
English
Japanese
multilingual
emotion-recognition
affective-computing
multitask-learning
transfer-learning
lora
Instructions to use Affectosphere-Group/Affeline-1-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Affectosphere-Group/Affeline-1-8B with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Download setup.py from Affectosphere-Group/Affeline-1-8B: direct link, hf CLI and curl.
- Browser
- Download file 464 Bytes
-
https://huggingface.co/Affectosphere-Group/Affeline-1-8B/resolve/main/setup.py
- Command line
-
hf download hf://Affectosphere-Group/Affeline-1-8B/setup.py
-
curl -L -o setup.py https://huggingface.co/Affectosphere-Group/Affeline-1-8B/resolve/main/setup.py
464 Bytes
| """Setup for the affeline inference package.""" | |
| from setuptools import setup, find_packages | |
| setup( | |
| name="affeline", | |
| version="0.1.0.dev0", | |
| description="Affeline: a Late-Read multi-task emotion foundation model (Qwen3-8B-Base + LoRA)", | |
| packages=find_packages(), | |
| python_requires=">=3.9", | |
| install_requires=["torch>=2.2", "transformers>=4.51", "peft>=0.11", | |
| "numpy>=1.26", "huggingface_hub>=0.23", "scikit-learn>=1.2"], | |
| ) | |