🤖 A PyTorch library of curated Transformer models and their composable components
-
Updated
Apr 17, 2024 - Python
🤖 A PyTorch library of curated Transformer models and their composable components
Pytorch-Named-Entity-Recognition-with-transformers
How good is BERT ? Comparing BERT to other state-of-the-art approaches on a French sentiment analysis dataset
Anonymization of legal cases (Fr) based on Flair embeddings
The CEFR Level Classifier Project is a AI Streamlit-based application that utilizes a two-phase Camembert model to accurately classify texts into six CEFR language proficiency levels. This innovative tool offers user-friendly navigation for both training and text classification.
Terminology extraction on ACTER using Transformer-based language models
In this notebook, I attempted to create a script that utilizes pre-trained CamemBERT and VaderSentiment models to label the sentiment of a Quran Karim dataset in English and French. My goal was to accurately classify the sentiment of each text sample in the dataset.
This repository contains code for a fine-tuning experiment of CamemBERT, a French version of the BERT language model, on a portion of the FQuAD (French Question Answering Dataset) for Question Answering tasks.
Identification of causal discourse relations in French text using machine-translated training resources (MSc. Thesis, Tilburg University, NL)
Fine-tuning CamemBERT for French keywords extraction on custom dataset.
Just exploring NLP with 🤗 Transformers
Classification for the Rakuten challenge with PyTorch Lightning, Streamlit, fastAPI and Hydra
CYBIA est une IA française qui détermine la toxicité dans du texte 🇫🇷
A codespace to run the French CamemBERT language model which is a great model for text prediction based on RoBERTa architecture through a minimalist web API.
Projet réalisé pour INSPIRE d'Article 1, mise en place d'algorithme de modération.
Add a description, image, and links to the camembert topic page so that developers can more easily learn about it.
To associate your repository with the camembert topic, visit your repo's landing page and select "manage topics."