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Add option to read sentence.bpe.model from local folder #22

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Add option to read sentence.bpe.model from local folder #22

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10 changes: 9 additions & 1 deletion trankit/adapter_transformers/tokenization_utils.py
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Original file line number Diff line number Diff line change
Expand Up @@ -924,7 +924,15 @@ def _from_pretrained(cls, pretrained_model_name_or_path, *init_inputs, **kwargs)
if pretrained_model_name_or_path in s3_models:
# Get the vocabulary from AWS S3 bucket
for file_id, map_list in cls.pretrained_vocab_files_map.items():
vocab_files[file_id] = map_list[pretrained_model_name_or_path]
basename_from_s3 = os.path.basename(map_list[pretrained_model_name_or_path])
model_prefix = slice(len(pretrained_model_name_or_path) + 1, None)
fname = basename_from_s3 [model_prefix] # filename as mentioned on hf.co/models
model_folder_exists = os.path.isdir(pretrained_model_name_or_path)
fname_exists = os.path.exists(os.path.join(pretrained_model_name_or_path, fname))
if model_folder_exists and fname_exists:
vocab_files[file_id] = os.path.join(pretrained_model_name_or_path, fname)
else:
vocab_files[file_id] = map_list[pretrained_model_name_or_path]
if (
cls.pretrained_init_configuration
and pretrained_model_name_or_path in cls.pretrained_init_configuration
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