Instructions to use mrfriedpotato/effect with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrfriedpotato/effect with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mrfriedpotato/effect")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mrfriedpotato/effect") model = AutoModelForSequenceClassification.from_pretrained("mrfriedpotato/effect") - Notebooks
- Google Colab
- Kaggle
metadata
tags:
- text classification
widget:
- text: Take out the trash.
example_title: Example 1
- text: Cut the tomato.
example_title: Example 2
Temporal Action Prediction
Prediction of action effect time from simple sentences.