# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("Safouene/Flaubert_Courriel")
model = AutoModelForSequenceClassification.from_pretrained("Safouene/Flaubert_Courriel")Quick Links
from transformers import AutoTokenizer, AutoModelForSequenceClassification from transformers import pipeline
loaded_tokenizer = AutoTokenizer.from_pretrained('Safouene/Flaubert_Courriel') loaded_model = AutoModelForSequenceClassification.from_pretrained("Safouene/Flaubert_Courriel")
nlp = pipeline('sentiment-analysis', model=loaded_model, tokenizer=loaded_tokenizer)
print(nlp("Je suis plutôt confiant."))
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Safouene/Flaubert_Courriel")