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

[Docs] Fix spelling and grammar mistakes (#28825)

Browse Source 
* Fix typos and grammar mistakes in docs and examples

* Fix typos in docstrings and comments

* Fix spelling of `tokenizer` in model tests

* Remove erroneous spaces in decorators

* Remove extra spaces in Markdown link texts
This commit is contained in:
Klaus Hipp
2024-02-02 08:45:00 +01:00
committed by GitHub
parent 2418c64a1c
commit 721ee783ca
134 changed files with 185 additions and 186 deletions
Download Patch File Download Diff File Expand all files Collapse all files

4
examples/research_projects/quantization-qdqbert/run_quant_qa.py
View File

@@ -349,7 +349,7 @@ def main():
)
# Preprocessing the datasets.
# Preprocessing is slighlty different for training and evaluation.
# Preprocessing is slightly different for training and evaluation.
if training_args.do_train or model_args.do_calib:
column_names = raw_datasets["train"].column_names
elif training_args.do_eval or model_args.save_onnx:
@@ -448,7 +448,7 @@ def main():
raise ValueError("--do_train requires a train dataset")
train_dataset = raw_datasets["train"]
if data_args.max_train_samples is not None:
# We will select sample from whole data if agument is specified
# We will select sample from whole data if argument is specified
max_train_samples = min(len(train_dataset), data_args.max_train_samples)
train_dataset = train_dataset.select(range(max_train_samples))
# Create train feature from dataset