Instructions to use wiorz/gpt2_small_summarized with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wiorz/gpt2_small_summarized with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="wiorz/gpt2_small_summarized")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("wiorz/gpt2_small_summarized") model = AutoModelForSequenceClassification.from_pretrained("wiorz/gpt2_small_summarized", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2 opened 5 months ago
by
SFconvertbot
Librarian Bot: Add base_model information to model
#1 opened almost 3 years ago
by
librarian-bot