Text Classification
Transformers
Safetensors
PyTorch
English
gpt2
news-topic-classification
distilgpt2
ag-news
causal-lm
Eval Results (legacy)
Instructions to use ZyroGod/distilgpt2-news-topic-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ZyroGod/distilgpt2-news-topic-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ZyroGod/distilgpt2-news-topic-classification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ZyroGod/distilgpt2-news-topic-classification") model = AutoModelForSequenceClassification.from_pretrained("ZyroGod/distilgpt2-news-topic-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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