Average Model Cost: $0.0000
Number of Runs: 18,016
Models by this creator
CamemBERT is a large-scale transformer-based model for natural language understanding tasks in French. It is trained on a large corpus of French text and can be fine-tuned for various downstream tasks such as sentence similarity and text classification.
Pre-trained sentence embedding models are the state-of-the-art of Sentence Embeddings for French. Model is Fine-tuned using pre-trained facebook/camembert-base and Siamese BERT-Networks with 'sentences-transformers' on dataset stsb Usage The model can be used directly (without a language model) as follows: Evaluation The model can be evaluated as follows on the French test data of stsb. Test Result: The performance is measured using Pearson and Spearman correlation: On dev On test Citation