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
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README.md
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---
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tags:
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- text classification
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widget:
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- text: "How to clean up the house. Take out the trash."
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example_title: "Example 1"
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- text: "How to make a Pizza. Cut the tomato."
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example_title: "Example 2"
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---
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# Temporal Action Prediction
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Prediction of action effect time from simple sentences.
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