gpt2-base-french
| Property | Value |
|---|---|
| License | cc-by-sa-4.0 |
| Training Data | Wikipedia (FR), CC-100 |
| Framework | PyTorch, Transformers |
| Vocabulary Size | 50,000 tokens |
What is gpt2-base-french?
gpt2-base-french is a French language model based on the GPT-2 architecture, specifically trained for generating French text. Developed by ClassCat, this model has been trained on a combination of French Wikipedia articles and a subset of the CC-100 French web crawl dataset, making it particularly well-suited for French language processing tasks.
Implementation Details
The model implements the base GPT-2 architecture with customizations for French language processing. It utilizes a BPE tokenizer with a vocabulary size of 50,000 tokens, optimized for French text. The implementation requires transformers version 4.19.2 and can be easily integrated using the Hugging Face pipeline.
- Custom BPE tokenizer optimized for French
- Based on GPT-2 architecture
- Trained on high-quality French corpus
- Supports text generation pipeline
Core Capabilities
- Natural French text generation
- Continuation of French sentences and paragraphs
- Support for various text generation tasks
- Integration with Hugging Face transformers library
Frequently Asked Questions
Q: What makes this model unique?
This model stands out for its specific optimization for French language generation, combining both Wikipedia and web-crawled data for comprehensive language understanding. The custom 50k vocabulary ensures efficient tokenization of French text.
Q: What are the recommended use cases?
The model is ideal for French text generation tasks, including content creation, text completion, and creative writing assistance. It can be particularly useful in applications requiring natural French language generation or content augmentation.
