SUMIN/HuggingFace_transformer
1
0
Fork 0
Code Issues Pull Requests Actions 7 Packages Projects Releases Wiki Activity

Cleanup fast tokenizers integration (#3706)

Browse Source 
* First pass on utility classes and python tokenizers

* finishing cleanup pass

* style and quality

* Fix tests

* Updating following @mfuntowicz comment

* style and quality

* Fix Roberta

* fix batch_size/seq_length inBatchEncoding

* add alignement methods + tests

* Fix OpenAI and Transfo-XL tokenizers

* adding trim_offsets=True default for GPT2 et RoBERTa

* style and quality

* fix tests

* add_prefix_space in roberta

* bump up tokenizers to rc7

* style

* unfortunately tensorfow does like these - removing shape/seq_len for now

* Update src/transformers/tokenization_utils.py

Co-Authored-By: Stefan Schweter <stefan@schweter.it>

* Adding doc and docstrings

* making flake8 happy

Co-authored-by: Stefan Schweter <stefan@schweter.it>
This commit is contained in:
Thomas Wolf
2020-04-18 13:43:57 +02:00
committed by GitHub
parent 60a42ef1c0
commit 827d6d6ef0
28 changed files with 1031 additions and 503 deletions
Download Patch File Download Diff File Expand all files Collapse all files

2
examples/run_language_modeling.py
View File

@@ -67,7 +67,7 @@ class TextDataset(Dataset):
def __init__(self, tokenizer: PreTrainedTokenizer, args, file_path: str, block_size=512):
assert os.path.isfile(file_path)
block_size = block_size - (tokenizer.max_len - tokenizer.max_len_single_sentence)
block_size = block_size - tokenizer.num_special_tokens_to_add(pair=False)
directory, filename = os.path.split(file_path)
cached_features_file = os.path.join(