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GitHub Repository: huggingface/notebooks
 Path: blob/main/course/fr/chapter4/section2_pt.ipynb
Views: 2548
Kernel: Python 3

Utilisation de modèles pré-entraînés (PyTorch)

Installez la bibliothèque 🤗 Transformers pour exécuter ce notebook.

!pip install datasets transformers[sentencepiece]

from transformers import pipeline

camembert_fill_mask = pipeline("fill-mask", model="camembert-base")
results = camembert_fill_mask("Le camembert est <mask> :)")

from transformers import CamembertTokenizer, CamembertForMaskedLM

tokenizer = CamembertTokenizer.from_pretrained("camembert-base")
model = CamembertForMaskedLM.from_pretrained("camembert-base")

from transformers import AutoTokenizer, AutoModelForMaskedLM

tokenizer = AutoTokenizer.from_pretrained("camembert-base")
model = AutoModelForMaskedLM.from_pretrained("camembert-base")