Instructions to use hallisky/sarcasm-classifier-gpt4-data with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hallisky/sarcasm-classifier-gpt4-data with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hallisky/sarcasm-classifier-gpt4-data")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hallisky/sarcasm-classifier-gpt4-data") model = AutoModelForSequenceClassification.from_pretrained("hallisky/sarcasm-classifier-gpt4-data", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| license: apache-2.0 | |
| widget: | |
| - text: "Oh really, what a great idea! Let's just ignore all the facts and trot right ahead!" | |
| example_title: "Sarcastic Dialogue" | |
| output: | |
| - label: sarcasm_more | |
| score: 1.0 | |
| - label: sarcasm_less | |
| score: 0.0 | |
| - text: "What a great idea - let's continue!" | |
| example_title: "Sincere Dialogue" | |