readme: ---
  language: fr
  widget:
  - text: "Your text here"
  datasets:
  - Chemsseddine/autotrain-data-bertSummGpt2
  co2_eq_emissions: 0.10685501288084795
  ---
  
  <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"/>
  
  ## This model is used for french summarization
  - Problem type: Summarization
  - Model ID: 980832493
  - CO2 Emissions (in grams): 0.10685501288084795
  
  ## Validation Metrics
  
  - Loss: 4.03749418258667
  - Rouge1: 28.8384
  - Rouge2: 10.7511
  - RougeL: 27.0842
  - RougeLsum: 27.5118
  - Gen Len: 22.0625
  
  ## Usage
  
  You can use cURL to access this model:
  
  ```
  $ 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
  ```