README.md

metadata

language: fr

BelGPT-2

BelGPT-2 (Belgian GPT-2 🇧🇪) is a "small" GPT-2 model pre-trained on a very large and heterogeneous French corpus (around 60Gb). Please check antoiloui/gpt2-french for more information about the pre-trained model, its implementation, and the data.

Using BelGPT-2 for Text Generation in French

You can use BelGPT-2 with 🤗 transformers library as follows:

import torch
from transformers import GPT2Tokenizer, GPT2LMHeadModel

# Load pretrained model and tokenizer
model = GPT2LMHeadModel.from_pretrained("antoiloui/belgpt2")
tokenizer = GPT2Tokenizer.from_pretrained("antoiloui/belgpt2")

# Generate a sample of text
model.eval()
output = model.generate(
            bos_token_id=random.randint(1,50000),
            do_sample=True,   
            top_k=50, 
            max_length=100,
            top_p=0.95, 
            num_return_sequences=1
)

# Decode it
decoded_output = []
for sample in output:
    decoded_output.append(tokenizer.decode(sample, skip_special_tokens=True))
print(decoded_output)

Data

Below is the list of all French copora used to pre-trained the model:

Dataset	$corpus_name	Raw size	Cleaned size
CommonCrawl	common_crawl	200.2 GB	40.4 GB
NewsCrawl	news_crawl	10.4 GB	9.8 GB
Wikipedia	wiki	19.4 GB	4.1 GB
Wikisource	wikisource	4.6 GB	2.3 GB
Project Gutenberg	gutenberg	1.3 GB	1.1 GB
EuroParl	europarl	289.9 MB	278.7 MB
NewsCommentary	news_commentary	61.4 MB	58.1 MB
Total		236.3 GB	57.9 GB