tokenization: use S3 location for XLM-RoBERTa model

fe9aab10 · Stefan Schweter · 5c5f67a2 · fe9aab10
Commit fe9aab10 authored Dec 18, 2019 by Stefan Schweter
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transformers/tokenization_xlm_roberta.py transformers/tokenization_xlm_roberta.py +2 -2

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--- a/transformers/tokenization_xlm_roberta.py
+++ b/transformers/tokenization_xlm_roberta.py
@@ -30,8 +30,8 @@ VOCAB_FILES_NAMES = {'vocab_file': 'sentencepiece.bpe.model'}
 PRETRAINED_VOCAB_FILES_MAP = {
    'vocab_file':
    {
-    'xlm-roberta-base': "https://schweter.eu/cloud/transformers/xlm-roberta-base-sentencepiece.bpe.model",
-    'xlm-roberta-large': "https://schweter.eu/cloud/transformers/xlm-roberta-large-sentencepiece.bpe.model",
+    'xlm-roberta-base': "https://s3.amazonaws.com/models.huggingface.co/bert/xlm-roberta-base-sentencepiece.bpe.model",
+    'xlm-roberta-large': "https://s3.amazonaws.com/models.huggingface.co/bert/xlm-roberta-large-sentencepiece.bpe.model",
    }
 }