
<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
```
{"language": "fr", "datasets": ["Chemsseddine/autotrain-data-bertSummGpt2"], "widget": [{"text": "Your text here"}], "co2_eq_emissions": 0.10685501288084795}
transformers pytorch encoder-decoder text2text-generation fr dataset:Chemsseddine/autotrain-data-bertSummGpt2 co2_eq_emissions autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #encoder-decoder #text2text-generation #fr #dataset-Chemsseddine/autotrain-data-bertSummGpt2 #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 


<img src="URL 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:


## 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:
TAGS
#transformers #pytorch #encoder-decoder #text2text-generation #fr #dataset-Chemsseddine/autotrain-data-bertSummGpt2 #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 
 ## 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:
passage: TAGS
#transformers #pytorch #encoder-decoder #text2text-generation #fr #dataset-Chemsseddine/autotrain-data-bertSummGpt2 #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 
## 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: