Update demo_camembert.py with new classes

examples/contrib/demo_camembert.py

@@ -5,7 +5,7 @@ import urllib.request
 import torch
 
 from transformers.tokenization_camembert import CamembertTokenizer
-from transformers.modeling_roberta import RobertaForMaskedLM
+from transformers.modeling_camembert import CamembertForMaskedLM
 
 
 def fill_mask(masked_input, model, tokenizer, topk=5):
@@ -40,19 +40,8 @@ def fill_mask(masked_input, model, tokenizer, topk=5):
     return topk_filled_outputs
 
 
-model_path = Path('camembert.v0.pytorch')
-if not model_path.exists():
-    compressed_path = model_path.with_suffix('.tar.gz')
-    url = 'http://dl.fbaipublicfiles.com/camembert/camembert.v0.pytorch.tar.gz'
-    print('Downloading model...')
-    urllib.request.urlretrieve(url, compressed_path)
-    print('Extracting model...')
-    with tarfile.open(compressed_path) as f:
-        f.extractall(model_path.parent)
-    assert model_path.exists()
-tokenizer_path = model_path / 'sentencepiece.bpe.model'
-tokenizer = CamembertTokenizer.from_pretrained(tokenizer_path)
-model = RobertaForMaskedLM.from_pretrained(model_path)
+tokenizer = CamembertTokenizer.from_pretrained('camembert-base')
+model = CamembertForMaskedLM.from_pretrained('camembert-base')
 model.eval()
 
 masked_input = "Le camembert est <mask> :)"