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--- |
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tags: autonlp |
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language: en |
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widget: |
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- text: "I love AutoNLP 🤗" |
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datasets: |
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- mmcquade11/autonlp-data-reuters-summarization |
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co2_eq_emissions: 286.4350821612984 |
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--- |
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This is an autoNLP model I trained on Reuters dataset |
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# Model Trained Using AutoNLP |
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- Problem type: Summarization |
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- Model ID: 34018133 |
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- CO2 Emissions (in grams): 286.4350821612984 |
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## Validation Metrics |
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- Loss: 1.1805976629257202 |
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- Rouge1: 55.4013 |
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- Rouge2: 30.8004 |
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- RougeL: 52.57 |
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- RougeLsum: 52.6103 |
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- Gen Len: 15.3458 |
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## Usage |
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You can use cURL to access this model: |
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``` |
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$ curl -X POST -H "Authorization: Bearer YOUR_HUGGINGFACE_API_KEY" -H "Content-Type: application/json" -d '{"inputs": "I love AutoNLP"}' https://api-inference.huggingface.co/mmcquade11/autonlp-reuters-summarization-34018133 |
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``` |
