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bert2gpt2SUMM
Chemsseddine/bert2gpt2SUMM
bert2gpt2SUMM is a machine learning model from Chemsseddine. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
<img src="https://huggingface.co/Chemsseddine/bert2gpt2medmlorangesumm-finetunedmedsumnew-finetunedmedsumnew/resolve/main/logobert2gpt2.png" alt="Map of positive probabilities per country." width="200"/
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.bin1.1 GB · 100%
At a glance
- Library
- transformers
- Model type
- encoder-decoder
- Access
- Public
- Created
- Jun 14, 2022
- Updated
- Dec 7, 2022
- SHA
- 0b57c3fa
Try a prompt
Model card
From the Hugging Face model README
<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
- Library
- transformers
- Type
- encoder-decoder
- Languages
- fr
- Created
- Jun 14, 2022
- Updated
- Dec 7, 2022