mrm8488 / camembert2camembert_shared-finetuned-french-summarization

huggingface.co
Total runs: 332
24-hour runs: 0
7-day runs: 8
30-day runs: 189
Model's Last Updated: April 29 2023
summarization

Introduction of camembert2camembert_shared-finetuned-french-summarization

Model Details of camembert2camembert_shared-finetuned-french-summarization

French RoBERTa2RoBERTa (shared) fine-tuned on MLSUM FR for summarization

Model

camembert-base (RoBERTa Checkpoint)

Dataset

MLSUM is the first large-scale MultiLingual SUMmarization dataset. Obtained from online newspapers, it contains 1.5M+ article/summary pairs in five different languages -- namely, French , German, Spanish, Russian, Turkish. Together with English newspapers from the popular CNN/Daily mail dataset, the collected data form a large scale multilingual dataset which can enable new research directions for the text summarization community. We report cross-lingual comparative analyses based on state-of-the-art systems. These highlight existing biases which motivate the use of a multi-lingual dataset. MLSUM fr

Results
Set Metric # Score
Test Rouge2 - mid -precision 14.47
Test Rouge2 - mid - recall 12.90
Test Rouge2 - mid - fmeasure 13.30
Usage
import torch
from transformers import RobertaTokenizerFast, EncoderDecoderModel
device = 'cuda' if torch.cuda.is_available() else 'cpu'
ckpt = 'mrm8488/camembert2camembert_shared-finetuned-french-summarization'
tokenizer = RobertaTokenizerFast.from_pretrained(ckpt)
model = EncoderDecoderModel.from_pretrained(ckpt).to(device)
def generate_summary(text):
   inputs = tokenizer([text], padding="max_length", truncation=True, max_length=512, return_tensors="pt")
   input_ids = inputs.input_ids.to(device)
   attention_mask = inputs.attention_mask.to(device)
   output = model.generate(input_ids, attention_mask=attention_mask)
   return tokenizer.decode(output[0], skip_special_tokens=True)
   
text = "Un nuage de fumée juste après l’explosion, le 1er juin 2019. Une déflagration dans une importante usine d’explosifs du centre de la Russie a fait au moins 79 blessés samedi 1er juin. L’explosion a eu lieu dans l’usine Kristall à Dzerzhinsk, une ville située à environ 400 kilomètres à l’est de Moscou, dans la région de Nijni-Novgorod. « Il y a eu une explosion technique dans l’un des ateliers, suivie d’un incendie qui s’est propagé sur une centaine de mètres carrés », a expliqué un porte-parole des services d’urgence. Des images circulant sur les réseaux sociaux montraient un énorme nuage de fumée après l’explosion. Cinq bâtiments de l’usine et près de 180 bâtiments résidentiels ont été endommagés par l’explosion, selon les autorités municipales. Une enquête pour de potentielles violations des normes de sécurité a été ouverte. Fragments de shrapnel Les blessés ont été soignés après avoir été atteints par des fragments issus de l’explosion, a précisé une porte-parole des autorités sanitaires citée par Interfax. « Nous parlons de blessures par shrapnel d’une gravité moyenne et modérée », a-t-elle précisé. Selon des représentants de Kristall, cinq personnes travaillaient dans la zone où s’est produite l’explosion. Elles ont pu être évacuées en sécurité. Les pompiers locaux ont rapporté n’avoir aucune information sur des personnes qui se trouveraient encore dans l’usine."

generate_summary(text)

# Output: L’explosion a eu lieu dans l’usine Kristall à Dzerzhinsk, une ville située à environ 400 kilomètres à l’est de Moscou.

Created by Manuel Romero/@mrm8488 with the support of Narrativa Made with ♥ in Spain

Runs of mrm8488 camembert2camembert_shared-finetuned-french-summarization on huggingface.co

332
Total runs
0
24-hour runs
-3
3-day runs
8
7-day runs
189
30-day runs

More Information About camembert2camembert_shared-finetuned-french-summarization huggingface.co Model

camembert2camembert_shared-finetuned-french-summarization huggingface.co

camembert2camembert_shared-finetuned-french-summarization huggingface.co is an AI model on huggingface.co that provides camembert2camembert_shared-finetuned-french-summarization's model effect (), which can be used instantly with this mrm8488 camembert2camembert_shared-finetuned-french-summarization model. huggingface.co supports a free trial of the camembert2camembert_shared-finetuned-french-summarization model, and also provides paid use of the camembert2camembert_shared-finetuned-french-summarization. Support call camembert2camembert_shared-finetuned-french-summarization model through api, including Node.js, Python, http.

camembert2camembert_shared-finetuned-french-summarization huggingface.co Url

https://huggingface.co/mrm8488/camembert2camembert_shared-finetuned-french-summarization

mrm8488 camembert2camembert_shared-finetuned-french-summarization online free

camembert2camembert_shared-finetuned-french-summarization huggingface.co is an online trial and call api platform, which integrates camembert2camembert_shared-finetuned-french-summarization's modeling effects, including api services, and provides a free online trial of camembert2camembert_shared-finetuned-french-summarization, you can try camembert2camembert_shared-finetuned-french-summarization online for free by clicking the link below.

mrm8488 camembert2camembert_shared-finetuned-french-summarization online free url in huggingface.co:

https://huggingface.co/mrm8488/camembert2camembert_shared-finetuned-french-summarization

camembert2camembert_shared-finetuned-french-summarization install

camembert2camembert_shared-finetuned-french-summarization is an open source model from GitHub that offers a free installation service, and any user can find camembert2camembert_shared-finetuned-french-summarization on GitHub to install. At the same time, huggingface.co provides the effect of camembert2camembert_shared-finetuned-french-summarization install, users can directly use camembert2camembert_shared-finetuned-french-summarization installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

camembert2camembert_shared-finetuned-french-summarization install url in huggingface.co:

https://huggingface.co/mrm8488/camembert2camembert_shared-finetuned-french-summarization

Url of camembert2camembert_shared-finetuned-french-summarization

camembert2camembert_shared-finetuned-french-summarization huggingface.co Url

Provider of camembert2camembert_shared-finetuned-french-summarization huggingface.co

mrm8488
ORGANIZATIONS

Other API from mrm8488

huggingface.co

Total runs: 889
Run Growth: 586
Growth Rate: 68.06%
Updated:March 19 2023
huggingface.co

Total runs: 855
Run Growth: 264
Growth Rate: 30.88%
Updated:February 23 2024
huggingface.co

Total runs: 98
Run Growth: 22
Growth Rate: 22.68%
Updated:June 20 2023
huggingface.co

Total runs: 72
Run Growth: 32
Growth Rate: 44.44%
Updated:January 24 2024
huggingface.co

Total runs: 64
Run Growth: 36
Growth Rate: 56.25%
Updated:May 21 2021