---
license: apache-2.0
language:
- fr
metrics:
- accuracy
library_name: transformers
pipeline_tag: text-classification
---
from transformers import AutoTokenizer, AutoModelForSequenceClassification
from transformers import pipeline

loaded_tokenizer = AutoTokenizer.from_pretrained('flaubert/flaubert_large_cased')
loaded_model = AutoModelForSequenceClassification.from_pretrained("DemangeJeremy/4-sentiments-with-flaubert")

nlp = pipeline('sentiment-analysis', model=loaded_model, tokenizer=loaded_tokenizer)

print(nlp("Je suis plutôt confiant."))