Pytorch-Named-Entity-Recognition-with-transformers
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Updated
Jun 1, 2020 - Python
Pytorch-Named-Entity-Recognition-with-transformers
Anonymization of legal cases (Fr) based on Flair embeddings
Projet réalisé pour INSPIRE d'Article 1, mise en place d'algorithme de modération.
Identification of causal discourse relations in French text using machine-translated training resources (MSc. Thesis, Tilburg University, NL)
Adaptation du github https://github.com/doccano/doccano-transformer pour utiliser les textes labellisés sur Doccano avec camembert.
Terminology extraction on ACTER using Transformer-based language models
Just exploring NLP with 🤗 Transformers
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.
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.
How good is BERT ? Comparing BERT to other state-of-the-art approaches on a French sentiment analysis 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.
Classification for the Rakuten challenge with PyTorch Lightning, Streamlit, fastAPI and Hydra
Fine-tuning CamemBERT for French keywords extraction on custom dataset.
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.
CYBIA est une IA française qui détermine la toxicité dans du texte 🇫🇷
🤖 A PyTorch library of curated Transformer models and their composable components
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