Model Details
Full Model IDnie3e/sentiment-polish-gpt2-small
Pipeline / Tasktext-classification
Librarytransformers
Downloads (all-time)1.2M
Likes1
Last Modified7/22/2025
Author / Orgnie3e
PrivateNo — public
⚡ Quick Usage (Python)
Using the 🤗 Transformers library. Install with pip install transformers
from transformers import pipeline
# Load the model
pipe = pipeline("text-classification", model="nie3e/sentiment-polish-gpt2-small")
# Run inference
result = pipe("Your input here")
print(result)🏷️ Tags
transformerssafetensorsgpt2text-classificationgenerated_from_trainerpldataset:clarin-pl/polemo2-officialbase_model:sdadas/polish-gpt2-smallbase_model:finetune:sdadas/polish-gpt2-smalllicense:mitmodel-indexendpoints_compatibleregion:us
More Text Classification Models
See all →🚀 Use This Model
Access model files, inference API, and full documentation on Hugging Face.
Open on Hugging Face →Browse Model Files ↗← Browse All Models🏷️ Task: Text Classification
This model is designed for the Text Classification task. Explore more models for this use case.
All Text Classification Models →📊 Popularity
⬇ Downloads1.2M
❤️ Community Likes1
🛠️ Requirements
- →Install: pip install transformers
- →Python 3.8+ recommended for Transformers.
- →GPU (CUDA) speeds up inference significantly.
- →Use model.half() for fp16 on limited VRAM.