# French NLP

CamemBERTav2 is a French language model pretrained on 275 billion French text tokens, utilizing the DebertaV2 architecture, and excels in multiple French NLP tasks.

PAGnol is a series of large-scale French language models for free text generation, with 1.5 billion parameters. Based on the GPT architecture, it was developed in collaboration between LightOn and Inria's ALMAnaCH team.

This is a GPT-2 model fine-tuned on a French dataset, specifically designed for French text generation tasks.

FlauBERT is a French BERT model trained on a large-scale French corpus, offering pretrained models of various sizes along with the FLUE evaluation benchmark.

ALBERT base model pre-trained on French Wikipedia, supports case sensitivity, suitable for French NLP tasks.

French POS tagging model based on Camembert-base, trained using the free-french-treebank dataset

A CPU-optimized small French natural language processing model provided by spaCy, featuring tokenization, part-of-speech tagging, dependency parsing, named entity recognition, and more.

BARThez is a pre-trained French sequence-to-sequence model, specifically optimized for French text processing tasks.

FlauBERT Mini is an extremely simplified French language model designed for testing purposes, based on a lightweight version of the FlauBERT architecture.

Advanced French language model based on the RoBERTa architecture, compatible with the TensorFlow framework

CamemBERT base model domain-adapted with 15GB of French tweet data, specialized for French natural language processing tasks

Large French language processing model provided by spaCy, optimized for CPU, supporting multiple NLP tasks

DistilCamemBERT is a distilled version of the French CamemBERT model, significantly reducing model complexity while maintaining performance through knowledge distillation techniques.

This is a French-specific version of the multilingual distilled BERT base model, retaining the original model's accuracy while being more compact.