Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Fix generation docstring #14216

Merged
merged 2 commits into from
Nov 2, 2021
Merged

Fix generation docstring #14216

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
c0199a5
Fix generation docstring
qqaatw Oct 31, 2021
c4f8f89
Style
qqaatw Oct 31, 2021
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
4 changes: 2 additions & 2 deletions src/transformers/generation_utils.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -849,11 +849,11 @@ def generate(
>>> outputs = model.generate(input_ids=input_ids, max_length=20, repetition_penalty=1.2)
>>> print("Generated:", tokenizer.decode(outputs[0], skip_special_tokens=True))
>>> tokenizer = AutoTokenizer.from_pretrained("gpt2")
>>> tokenizer = AutoTokenizer.from_pretrained("gpt2", use_fast=False)
>>> model = AutoModelForCausalLM.from_pretrained("gpt2")
>>> input_context = "My cute dog"
>>> # get tokens of words that should not be generated
>>> bad_words_ids = [tokenizer(bad_word, add_prefix_space=True).input_ids for bad_word in ["idiot", "stupid", "shut up"]]
>>> bad_words_ids = tokenizer(["idiot", "stupid", "shut up"], add_prefix_space=True).input_ids
Copy link
Contributor Author

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

I refactored this line to follow the common usage of tokenizers.

>>> # encode input context
>>> input_ids = tokenizer(input_context, return_tensors="pt").input_ids
>>> # generate sequences without allowing bad_words to be generated
Expand Down
4 changes: 2 additions & 2 deletions src/transformers/models/gpt2/tokenization_gpt2_fast.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -84,8 +84,8 @@ class GPT2TokenizerFast(PreTrainedTokenizerFast):
>>> tokenizer(" Hello world")['input_ids']
[18435, 995]
You can get around that behavior by passing ``add_prefix_space=True`` when instantiating this tokenizer or when you
call it on some text, but since the model was not pretrained this way, it might yield a decrease in performance.
You can get around that behavior by passing ``add_prefix_space=True`` when instantiating this tokenizer, but since
the model was not pretrained this way, it might yield a decrease in performance.
.. note::
Expand Down