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--- |
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language: fr |
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widget: |
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- text: "Your text here" |
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datasets: |
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- Chemsseddine/autotrain-data-bertSummGpt2 |
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co2_eq_emissions: 0.10685501288084795 |
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--- |
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<img src="https://huggingface.co/Chemsseddine/bert2gpt2_med_ml_orange_summ-finetuned_med_sum_new-finetuned_med_sum_new/resolve/main/logobert2gpt2.png" alt="Map of positive probabilities per country." width="200"/> |
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## This model is used for french summarization |
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- Problem type: Summarization |
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- Model ID: 980832493 |
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- CO2 Emissions (in grams): 0.10685501288084795 |
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## Validation Metrics |
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- Loss: 4.03749418258667 |
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- Rouge1: 28.8384 |
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- Rouge2: 10.7511 |
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- RougeL: 27.0842 |
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- RougeLsum: 27.5118 |
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- Gen Len: 22.0625 |
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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 AutoTrain"}' https://api-inference.huggingface.co/Chemsseddine/autotrain-bertSummGpt2-980832493 |
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``` |
