Pt Tblard Tf Allocine

🚀 Pytorch Fork of tblard/tf-allocine

A French sentiment analysis model based on CamemBERT, fine-tuned on a large-scale dataset from Allociné user reviews.

🚀 Quick Start

This is a French sentiment analysis model. It's built upon CamemBERT and fine-tuned using a large-scale dataset scraped from user reviews on Allociné.fr.

✨ Features

Results

The dataset and the evaluation code are available on this repo.

💻 Usage Examples

Basic Usage

from transformers import AutoTokenizer, TFAutoModelForSequenceClassification
from transformers import pipeline
tokenizer = AutoTokenizer.from_pretrained("tblard/tf-allocine")
model = TFAutoModelForSequenceClassification.from_pretrained("tblard/tf-allocine")
nlp = pipeline('sentiment-analysis', model=model, tokenizer=tokenizer)
print(nlp("Alad'2 est clairement le meilleur film de l'année 2018.")) # POSITIVE
print(nlp("Juste whoaaahouuu !")) # POSITIVE
print(nlp("NUL...A...CHIER ! FIN DE TRANSMISSION.")) # NEGATIVE
print(nlp("Je m'attendais à mieux de la part de Franck Dubosc !")) # NEGATIVE

📚 Documentation

Author

Théophile Blard – :email: theophile.blard@gmail.com

If you use this work (code, model or dataset), please cite as:

Théophile Blard, French sentiment analysis with BERT, (2020), GitHub repository, https://github.com/TheophileBlard/french-sentiment-analysis-with-bert