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View Code? Open in Web Editor NEWDistilBERT model pre-trained on 131 GB of Japanese web text. The teacher model is BERT-base that built in-house at LINE.
License: Apache License 2.0
DistilBERT model pre-trained on 131 GB of Japanese web text. The teacher model is BERT-base that built in-house at LINE.
License: Apache License 2.0
I understood that this model does not require rhoknp
by reading the following descriptions in README.
The texts are first tokenized by MeCab with the Unidic dictionary and then split into subwords by the SentencePiece algorithm.
However, the following error was raised.
tokenizer = AutoTokenizer.from_pretrained(
File "/path/to/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py", line 663, in from_pretrained
tokenizer_class = get_class_from_dynamic_module(
File "/path/to/lib/python3.10/site-packages/transformers/dynamic_module_utils.py", line 388, in get_class_from_dynamic_module
final_module = get_cached_module_file(
File "/path/to/lib/python3.10/site-packages/transformers/dynamic_module_utils.py", line 269, in get_cached_module_file
modules_needed = check_imports(resolved_module_file)
File "/path/to/lib/python3.10/site-packages/transformers/dynamic_module_utils.py", line 139, in check_imports
raise ImportError(
ImportError: This modeling file requires the following packages that were not found in your environment: sudachipy, fugashi, unidic_lite, unidic, ipadic, rhoknp. Run `pip install sudachipy fugashi unidic_lite unidic ipadic rhoknp`
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