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https://api.github.com/repos/huggingface/transformers/issues/19077 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19077/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19077/comments | https://api.github.com/repos/huggingface/transformers/issues/19077/events | https://github.com/huggingface/transformers/pull/19077 | 1,376,364,597 | PR_kwDOCUB6oc4_HyQg | 19,077 | Bump mako from 1.2.0 to 1.2.2 in /examples/research_projects/decision_transformer | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,663 | 1,663 | 1,663 | CONTRIBUTOR | null | Bumps [mako](https://github.com/sqlalchemy/mako) from 1.2.0 to 1.2.2.
<details>
<summary>Release notes</summary>
<p><em>Sourced from <a href="https://github.com/sqlalchemy/mako/releases">mako's releases</a>.</em></p>
<blockquote>
<h1>1.2.2</h1>
<p>Released: Mon Aug 29 2022</p>
<h2>bug</h2>
<ul>
<li>
<p><strong>[bug] [l... | {
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https://api.github.com/repos/huggingface/transformers/issues/19076 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19076/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19076/comments | https://api.github.com/repos/huggingface/transformers/issues/19076/events | https://github.com/huggingface/transformers/pull/19076 | 1,376,320,008 | PR_kwDOCUB6oc4_HoiR | 19,076 | Add type hints for PyTorch SEWD | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,663 | 1,663 | 1,663 | CONTRIBUTOR | null | Based on the issue https://github.com/huggingface/transformers/issues/16059
@Rocketknight1 could you please take a look at it?
Thanks :) | {
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https://api.github.com/repos/huggingface/transformers/issues/19075 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19075/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19075/comments | https://api.github.com/repos/huggingface/transformers/issues/19075/events | https://github.com/huggingface/transformers/pull/19075 | 1,376,308,915 | PR_kwDOCUB6oc4_HmAY | 19,075 | Note about developer mode | {
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] | 1,663 | 1,663 | 1,663 | MEMBER | null | Adds a note about developer mode being required on Windows + overdue update of the READMEs | {
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] | 1,663 | 1,663 | 1,663 | COLLABORATOR | null | # What does this PR do?
#18438 broke the (deprecated) API allowing a user to load a tokenizer from the path to a given file when said tokenizer only needs one file. This PR should fix it.
Fixes #19057 | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@NielsRogge FYI, I will also need to open a PR to edit `ImageSegmentationPipeline` after making sure all post-processing methods across segmentation models are consistent in terms of naming and functionality.",
"Hey @alaradirik, p... | 1,663 | 1,665 | 1,663 | CONTRIBUTOR | null | # What does this PR do?
Adds a post_process_semantic_segmentation method to `SegFormerFeatureExtractor` with optional resizing. This model doesn't support instance or panoptic segmentation.
I will open separate PRs to make sure the naming and outputs of post_process methods of segmentation models are consistent.
... | {
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"i think this will fix this issue:\r\n\r\n<img width=\"686\" alt=\"image\" src=\"https://user-images.githubusercontent.com/326577/191121642-1fd004ea-4111-439b-923c-020acf05c5b7.png\">\r\n",
"Yes that is exactly its intent!"
] | 1,663 | 1,663 | 1,663 | CONTRIBUTOR | null | # What does this PR do?
Updates the DocumentQuestionAnsweringPipeline to always return an array, to fix the inference widget, and also be easier to use in general.
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x ] Did you read the ... | {
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"cc @gante as well :)",
"Hi @JoWohlen 👋 to confirm that I got the problem correctly -- the `example 2` of the PR that introduced the feature, modified to be self-contained, no longer works on `v4.22`. However, up to `v4.20.1`, it worked fine. Is this correct?",
"> Hi @JoWohlen 👋 to confirm that I got the pro... | 1,663 | 1,689 | null | NONE | null | ### System Info
- `transformers` version: 4.22.0
- Platform: Linux-3.10.0-1160.25.1.el7.x86_64-x86_64-with-glibc2.17
- Python version: 3.9.12
- Huggingface_hub version: 0.9.1
- PyTorch version (GPU?): 1.12.1 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA... | {
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https://api.github.com/repos/huggingface/transformers/issues/19069 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19069/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19069/comments | https://api.github.com/repos/huggingface/transformers/issues/19069/events | https://github.com/huggingface/transformers/pull/19069 | 1,375,985,067 | PR_kwDOCUB6oc4_Ggoe | 19,069 | Fix `LeViT` checkpoint | {
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Fix `LeViT` checkpoint -> can't find `https://huggingface.co/facebook/levit-base-192` | {
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As the title describes: add a warning when left padding should be used. Incorrect use of right padding is detected when:
1. the model is decoder-only;
2. there is a padding token in the last member of the sequence. | {
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https://api.github.com/repos/huggingface/transformers/issues/19066 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19066/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19066/comments | https://api.github.com/repos/huggingface/transformers/issues/19066/events | https://github.com/huggingface/transformers/pull/19066 | 1,375,832,634 | PR_kwDOCUB6oc4_F_4- | 19,066 | [FuturWarning] Add futur warning for LEDForSequenceClassification | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"I think deleting the class would be less confusing, we discussed this with Patrick, the original paper does not use the encoder decoder model for sequence classification. WDYT @LysandreJik ",
"Let's please do a deprecation cycle :p... | 1,663 | 1,667 | 1,667 | COLLABORATOR | null | # What does this PR do?
fixes #19019 by replacing the construction of the `eos_mask` in the `SequenceClassification`.
Also adds a test to make sure that long sequence are properly processed
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,663 | 1,663 | 1,663 | MEMBER | null | # What does this PR do?
Prevent a hyperlink from displaying as the full markdown representation near the bottom of the [PreTrainedModel.save_pretrained](https://huggingface.co/docs/transformers/main/en/main_classes/model#transformers.PreTrainedModel.save_pretrained) documentation. Currently, the additional backticks c... | {
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https://api.github.com/repos/huggingface/transformers/issues/19064 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19064/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19064/comments | https://api.github.com/repos/huggingface/transformers/issues/19064/events | https://github.com/huggingface/transformers/pull/19064 | 1,375,634,417 | PR_kwDOCUB6oc4_FVdo | 19,064 | Automatically tag CLIP repos as zero-shot-image-classification | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Merging as it's all green now! Thanks for the review! :hugs: "
] | 1,663 | 1,663 | 1,663 | MEMBER | null | # What does this PR do?
This PR changes the mapping to map CLIP to zero-shot-image-classification in the Hub automatically. (internal [context](https://huggingface.slack.com/archives/C02EK7C3SHW/p1663315010068709))
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"> Out : {'sequence': 'Love is Where It All Begins: adidas X Thebe Magugu Launch .... Herzogenaurach, Aug 15 2022 – Today, adidas launches its latest Tennis collection, created in partnership with contemporary South African...', 'labels': ['advertisement', 'global warming'], 'scores': [0.9311832189559937, 0.0002945... | 1,663 | 1,667 | 1,667 | NONE | null | ### System Info
- `transformers` version: 4.21.3
- Platform: Linux-5.4.0-113-generic-x86_64-with-glibc2.29
- Python version: 3.8.10
- Huggingface_hub version: 0.9.1
- PyTorch version (GPU?): 1.12.1+cu102 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
-... | {
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"Hi there! The datasets attribute of the `Trainer` are never modified, so they always retain all their columns. You therefore don't need to change the training arguments (which is something the `Trainer` is not allowed to do by the way, otherwise its logs are not accurate and we can't reproduce the same results eas... | 1,663 | 1,666 | 1,666 | NONE | null | ### Feature request
Scenario 1:
For a specific logging tasks, we need the indices of the data, therefore we save them in our dataset.
Therefore we want to disable remove_unused_columns before we logged our data with indices.
### Motivation
Right now this needs to be set in the trainer arguments beforehan... | {
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https://api.github.com/repos/huggingface/transformers/issues/19061 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19061/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19061/comments | https://api.github.com/repos/huggingface/transformers/issues/19061/events | https://github.com/huggingface/transformers/pull/19061 | 1,375,177,421 | PR_kwDOCUB6oc4_D1Ij | 19,061 | [Wav2Vec2] Fix None loss in docstring for Wav2Vec2ForPretraining | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_19061). All of your documentation changes will be reflected on that endpoint.",
"Hey @abdouaziz! Looks like you need to rebase onto main: https://github.com/huggingface/transformers/pull/18960#issuecomment-1248291349\r\n\r\... | 1,663 | 1,663 | 1,663 | NONE | null | # What does this PR do?
- [ ] This PR fix None loss in docstring for Wav2Vec2ForPretraining | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Great works for me! Thanks @stas00 ",
"Thanks for approving! Merging "
] | 1,663 | 1,663 | 1,663 | CONTRIBUTOR | null | # What does this PR do?
- set `use_cache` to `True` for consistency with other `transformers` models
- With the PR https://github.com/huggingface/transformers/pull/18843 being merged, `trocr` became the last model in `transformers` that has `use_cache` set to `True`.
- Except if there is any specific reason to le... | {
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Abstract
"We present a new framework AMOS that pretrains text encoders with an Adversarial learning curriculum via a Mixture Of Signals from multiple auxiliary generators. Following ELECTRA-style pretraining, the main encoder is trained as a discriminator to detect replaced tokens generated by... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"I think your Build PR Documentation is hanging again :eyes: "
] | 1,663 | 1,663 | 1,663 | COLLABORATOR | null | # What does this PR do?
This PR reorganizes the jobs run on CircleCI to avoid launching setups and running the test fetcher multiple times when there is no tests found to run.
More precisely, it always run the three following jobs:
- `check_code_quality`
- `check_repo_consistency`
- `fetch_tests`
Then the act... | {
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"cc @sgugger ",
"Indeed. I can reproduce, a fix is coming. This was caused by #18438 and this particular use case slipped through the cracks since it's untested (probably because it's deprecated behavior)."
] | 1,663 | 1,663 | 1,663 | NONE | null | ### System Info
According to following `FutureWarning` loading tokenizer using a file path should work in v4:
```
FutureWarning: Calling AlbertTokenizer.from_pretrained() with the path to a single file or url is deprecated and won't be possible anymore in v5. Use a model identifier or the path to a directory instead... | {
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https://api.github.com/repos/huggingface/transformers/issues/19056 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19056/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19056/comments | https://api.github.com/repos/huggingface/transformers/issues/19056/events | https://github.com/huggingface/transformers/pull/19056 | 1,374,831,614 | PR_kwDOCUB6oc4_CrBJ | 19,056 | Run `torchdynamo` tests | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Taking the fix in #18685 by @anijain2305 , thank you!",
"Need core maintainer's approval to merge :-)"
] | 1,663 | 1,665 | 1,663 | COLLABORATOR | null | # What does this PR do?
Run `torchdynamo` tests
Fix #18127 | {
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https://api.github.com/repos/huggingface/transformers/issues/19055 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19055/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19055/comments | https://api.github.com/repos/huggingface/transformers/issues/19055/events | https://github.com/huggingface/transformers/pull/19055 | 1,374,822,387 | PR_kwDOCUB6oc4_CpD7 | 19,055 | Rebase ESM PR and update all file formats | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"cc @sgugger @LysandreJik this should now be ready for review! ESM-1b and ESM-2 models are both supported and the discrepancy between our output and the output from the original model is now 2e-5 or less.\r\n\r\nI'm still chasing down... | 1,663 | 1,664 | 1,664 | MEMBER | null | This is a rebase and rework of the ESM PR at #13662. The old PR predates the `master -> main` rename and the conversion from `.rst` to `.mdx` documentation. As such, a straightforward rebase was very messy, so I copied the PR to a new branch and fixed the various file formats to be compatible with modern `transformers`... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,663 | 1,663 | 1,663 | COLLABORATOR | null | # What does this PR do?
#18905 checks if the docker could be launched inside the runners.
However, the runners could be offline due to some unknown reasons, and we are not aware of this problem (job hangs forever) so far.
This PR adds a check for runner being online or offline.
However, it might happen that... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,663 | 1,663 | 1,663 | MEMBER | null | # What does this PR do?
Adds symbolic trace support for the following model architectures:
- ConvNext
- Wav2Vec2
- ResNet
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https://api.github.com/repos/huggingface/transformers/issues/19052 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19052/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19052/comments | https://api.github.com/repos/huggingface/transformers/issues/19052/events | https://github.com/huggingface/transformers/pull/19052 | 1,374,545,888 | PR_kwDOCUB6oc4_Bs-W | 19,052 | Fix custom tokenizers test | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@ydshieh Those three files contain tests that require some specific dependencies to be installed (ftfy for openai and clip). So in the other test jobs, those tests are never run."
] | 1,663 | 1,663 | 1,663 | COLLABORATOR | null | # What does this PR do?
The custom tokenizers tests were never run because the test fetcher was not run before we look at its output to decide whether or not to run the tests. This PR fixes that and also adds missing tests to the nightly suite. | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,663 | 1,663 | 1,663 | COLLABORATOR | null | # What does this PR do?
When there is a problem in the cache move, we only print the traceback and not the error raised. This PR fixes that. | {
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https://api.github.com/repos/huggingface/transformers/issues/19050 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19050/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19050/comments | https://api.github.com/repos/huggingface/transformers/issues/19050/events | https://github.com/huggingface/transformers/issues/19050 | 1,374,454,348 | I_kwDOCUB6oc5R7IJM | 19,050 | why need slice outputs tensor in prediction_step function in Trainer | {
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"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md) a... | 1,663 | 1,666 | 1,666 | NONE | null | ### System Info
Hi Staffs
when I used Trainer to finetune my model, during the evaluation preprcess, I found a little problems in predtion_step function,
the outputs which is generated from self.compute_loss reference as following
https://github.com/huggingface/transformers/blob/v4.10.0/src/transformers/trainer.p... | {
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https://api.github.com/repos/huggingface/transformers/issues/19049 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19049/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19049/comments | https://api.github.com/repos/huggingface/transformers/issues/19049/events | https://github.com/huggingface/transformers/pull/19049 | 1,374,296,825 | PR_kwDOCUB6oc4_A3Ds | 19,049 | german autoclass | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Pinging @sgugger "
] | 1,663 | 1,663 | 1,663 | CONTRIBUTOR | null | next step for #18564 @omarespejel | {
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https://api.github.com/repos/huggingface/transformers/issues/19048 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19048/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19048/comments | https://api.github.com/repos/huggingface/transformers/issues/19048/events | https://github.com/huggingface/transformers/issues/19048 | 1,374,129,180 | I_kwDOCUB6oc5R54wc | 19,048 | i was trying to create custom tokenizer for some language and got this as error or warning.. | {
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"Hey @yes-its-shivam, thanks for reporting! I think this may have to do with our backend trying to create symlinks for the cached files, and failing to do so!\r\n\r\nIt seems you're running on Windows, which requires developer mode to be activated (or for Python to be run as an administrator).\r\n\r\nTo enable your... | 1,663 | 1,694 | 1,666 | NONE | null | ### System Info
```shell
The cache for model files in Transformers v4.22.0 has been updated. Migrating your old cache. This is a one-time only operation. You can interrupt this and resume the migration later on by calling `transformers.utils.move_cache()`.
Moving 11 files to the new cache system
0%
0/11 [00:02<?, ?... | {
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https://api.github.com/repos/huggingface/transformers/issues/19047 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19047/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19047/comments | https://api.github.com/repos/huggingface/transformers/issues/19047/events | https://github.com/huggingface/transformers/pull/19047 | 1,374,062,387 | PR_kwDOCUB6oc4_AFe8 | 19,047 | Fix: update ltp word segmentation call in mlm_wwm | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@VictorSanh \r\nplease take a look",
"@sgugger ",
"Thanks but we're not actively maintaining those research projects. You'll need a review of the original author to get this merged, or just use the old versions of the libraries :... | 1,663 | 1,663 | 1,663 | CONTRIBUTOR | null | # What does this PR do?
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Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,663 | 1,663 | 1,663 | MEMBER | null | # What does this PR do?
Due to the deprecation of `position_ids` in https://github.com/huggingface/transformers/pull/18342, the BLOOM ONNX export fails unless the `torch` version is >= 1.12
This PR fixes that by pinning the minimum required version in the ONNX configuration (the user gets a warning now).
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https://api.github.com/repos/huggingface/transformers/issues/19045 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19045/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19045/comments | https://api.github.com/repos/huggingface/transformers/issues/19045/events | https://github.com/huggingface/transformers/issues/19045 | 1,373,942,373 | I_kwDOCUB6oc5R5LJl | 19,045 | BertLMHeadModel (w/ relative position embedding) does not work correctly when use_cache = True | {
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"Thanks for opening an issue! @ArthurZucker or @ydshieh, could you take a look at what might be going on here?",
"@jsh710101 Before going deeper, could you also try without relative position embedding, and post the results here?",
"Thank you for your quick reply, of course!\r\n\r\nWith absolute position embeddi... | 1,663 | 1,668 | 1,668 | NONE | null | ### System Info
- `transformers` version: 4.20.1
- Platform: Linux-5.4.0-92-generic-x86_64-with-glibc2.17
- Python version: 3.8.13
- Huggingface_hub version: 0.8.1
- PyTorch version (GPU?): 1.12.0 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax ve... | {
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https://api.github.com/repos/huggingface/transformers/issues/19044 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19044/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19044/comments | https://api.github.com/repos/huggingface/transformers/issues/19044/events | https://github.com/huggingface/transformers/issues/19044 | 1,373,938,741 | I_kwDOCUB6oc5R5KQ1 | 19,044 | Wav2Vec2 Conformer loss nan and wer 1 issue | {
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"Hey @YooSungHyun - could you possibly link your wandb logs? I can then take a closer look at the nan loss!",
"@sanchit-gandhi Hi! \r\nthat is my company`s private wandb. so i can not share to you\r\n\r\nbut i have one hypothesis, and now testing.\r\nconfomer has convolution modul, so, conformer output audio leng... | 1,663 | 1,668 | 1,668 | NONE | null | ### System Info
Copy-and-paste the text below in your GitHub issue and FILL OUT the two last points.
- `transformers` version: 4.21.1
- Platform: Linux-4.15.0-177-generic-x86_64-with-glibc2.27
- Python version: 3.9.13
- Huggingface_hub version: 0.8.1
- PyTorch version (GPU?): 1.12.1+cu113 (True)
- Tensorflow... | {
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https://api.github.com/repos/huggingface/transformers/issues/19043 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19043/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19043/comments | https://api.github.com/repos/huggingface/transformers/issues/19043/events | https://github.com/huggingface/transformers/pull/19043 | 1,373,901,406 | PR_kwDOCUB6oc4-_jHo | 19,043 | Add sudachi and jumanpp tokenizers for bert_japanese | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_19043). All of your documentation changes will be reflected on that endpoint.",
"@sgugger\n\nThanks for your quick review!\n\nI fixed\nerror exception: 1b6883e\nmultiline test-cases into one line: a329071\n\n> Re-tests: not... | 1,663 | 1,664 | 1,664 | CONTRIBUTOR | null | # What does this PR do?
This PR adds a classes to use [sudachi](https://github.com/WorksApplications/SudachiPy) and [jumanpp](https://github.com/ku-nlp/pyknp) with BertJapaneseTokenizer.
As a background, there are traditionally multiple tokenizers in Japanese language processing, and for various reasons one may w... | {
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https://api.github.com/repos/huggingface/transformers/issues/19042 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19042/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19042/comments | https://api.github.com/repos/huggingface/transformers/issues/19042/events | https://github.com/huggingface/transformers/pull/19042 | 1,373,674,782 | PR_kwDOCUB6oc4--zmj | 19,042 | [doc] debug: fix import | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,663 | 1,663 | 1,663 | CONTRIBUTOR | null | correct the incomplete import statement
@sgugger | {
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https://api.github.com/repos/huggingface/transformers/issues/19041 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19041/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19041/comments | https://api.github.com/repos/huggingface/transformers/issues/19041/events | https://github.com/huggingface/transformers/issues/19041 | 1,373,655,437 | I_kwDOCUB6oc5R4FGN | 19,041 | Save last/best model during training | {
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"`save_total_limit` will control the number of checkpoints being saved, so with `save_total_limit=2`:\r\n- when `load_best_model_at_end=True`, you have the best model and the last model (unless the last model is the best model in which case you have the two last models)\r\n- when `load_best_model_at_end=False`, you... | 1,663 | 1,676 | 1,663 | NONE | null | ### System Info
- `transformers` version: 4.20.1
- Platform: Linux-5.8.0-45-generic-x86_64-with-glibc2.17
- Python version: 3.8.13
- Huggingface_hub version: 0.8.1
- PyTorch version (GPU?): 1.12.0+cu102 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- ... | {
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https://api.github.com/repos/huggingface/transformers/issues/19040 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19040/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19040/comments | https://api.github.com/repos/huggingface/transformers/issues/19040/events | https://github.com/huggingface/transformers/pull/19040 | 1,373,330,001 | PR_kwDOCUB6oc4-9pWE | 19,040 | Fix `test_save_load` for `TFViTMAEModelTest` | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,663 | 1,663 | 1,663 | COLLABORATOR | null | # What does this PR do?
`test_save_load` means to test with `saved_model=False`, which is very fast.
The test for `saved_model=True` is done in `test_saved_model_creation` (slow test)
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https://api.github.com/repos/huggingface/transformers/issues/19039 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19039/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19039/comments | https://api.github.com/repos/huggingface/transformers/issues/19039/events | https://github.com/huggingface/transformers/pull/19039 | 1,373,281,517 | PR_kwDOCUB6oc4-9fIG | 19,039 | Add type hints for PyTorch UniSpeech, MPNet and Nystromformer | {
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"Hi @daspartho, thanks for this! There's one problem, though - one of the functions you added type hints to was marked as `copied from` another function. This caused the `check_repository_consistency` test to fail. If you check the details on that test, the problem is that those functions were copied from `Wav2Vec2... | 1,663 | 1,663 | 1,663 | CONTRIBUTOR | null | Based on the issue https://github.com/huggingface/transformers/issues/16059
@Rocketknight1 could you please take a look at it?
Thanks :) | {
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https://api.github.com/repos/huggingface/transformers/issues/19038 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19038/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19038/comments | https://api.github.com/repos/huggingface/transformers/issues/19038/events | https://github.com/huggingface/transformers/issues/19038 | 1,373,280,486 | I_kwDOCUB6oc5R2pjm | 19,038 | Summarization pipeline giving different outputs when num_beams=1 or num_beams not set (should default to 1) | {
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"Hi @AndreaSottana \r\n\r\nThe amount of parameters is something we are actually to control as it sometimes explodes:\r\nhttps://huggingface.co/docs/transformers/v4.22.1/en/main_classes/text_generation#transformers.generation_utils.GenerationMixin.generate\r\n\r\nAll those are available to `summarization` pipeline ... | 1,663 | 1,664 | 1,664 | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.21.3
- Platform: Linux-5.15.0-33-generic-x86_64-with-glibc2.35
- Python version: 3.10.4
- Huggingface_hub version: 0.9.1
- PyTorch version (GPU?): 1.11.0+cu113 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
-... | {
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https://api.github.com/repos/huggingface/transformers/issues/19037 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19037/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19037/comments | https://api.github.com/repos/huggingface/transformers/issues/19037/events | https://github.com/huggingface/transformers/pull/19037 | 1,373,223,844 | PR_kwDOCUB6oc4-9S5g | 19,037 | Add safeguards for CUDA kernel load in Deformable DETR | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,663 | 1,663 | 1,663 | COLLABORATOR | null | # What does this PR do?
Transformers has become unusable on GPU when doing some imports since:
- deformable DETR compiles some custom CUDA kernels at init
- this require ninja which is not in the dependencies
This PR adds some additional checks before compiling the CUDA kernels, and also adds a warning instead ... | {
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https://api.github.com/repos/huggingface/transformers/issues/19036 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19036/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19036/comments | https://api.github.com/repos/huggingface/transformers/issues/19036/events | https://github.com/huggingface/transformers/pull/19036 | 1,373,220,415 | PR_kwDOCUB6oc4-9SKX | 19,036 | fix GPT2 token's `special_tokens_mask` when used with `add_bos_token=True` | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,663 | 1,663 | 1,663 | CONTRIBUTOR | null | # What does this PR do?
<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
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The logic behind the computation of `special_tokens_mask` seems a bit broken when using the OPT model (might also be true for other models but I have not been able to reproduce the behaviour yet).
```python
tokenizer = transformers.AutoTokenizer.from_pretrained("facebook/opt-125m")
result = toke... | {
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https://api.github.com/repos/huggingface/transformers/issues/19034 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19034/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19034/comments | https://api.github.com/repos/huggingface/transformers/issues/19034/events | https://github.com/huggingface/transformers/pull/19034 | 1,373,201,076 | PR_kwDOCUB6oc4-9ODY | 19,034 | Update serving signatures and make sure we actually use them | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,663 | 1,663 | 1,663 | MEMBER | null | This PR does some stuff to lay the groundwork for my plan to focus on TF model deployment:
- Updates the signatures on all our `model.serving` methods to use `int64` instead of `int32`
- Overrides `model.save()` so that the default signature for our models is now `model.serving`
- Casts all `int32` inputs to our T... | {
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https://api.github.com/repos/huggingface/transformers/issues/19033 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19033/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19033/comments | https://api.github.com/repos/huggingface/transformers/issues/19033/events | https://github.com/huggingface/transformers/pull/19033 | 1,373,162,096 | PR_kwDOCUB6oc4-9FxM | 19,033 | Fix GPT-NeoX doc examples | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,663 | 1,663 | 1,663 | MEMBER | null | # What does this PR do?
<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
Then, please replace this w... | {
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https://api.github.com/repos/huggingface/transformers/issues/19032 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19032/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19032/comments | https://api.github.com/repos/huggingface/transformers/issues/19032/events | https://github.com/huggingface/transformers/pull/19032 | 1,373,120,013 | PR_kwDOCUB6oc4-88tf | 19,032 | [wip: test new example re] | {
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https://api.github.com/repos/huggingface/transformers/issues/19031 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19031/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19031/comments | https://api.github.com/repos/huggingface/transformers/issues/19031/events | https://github.com/huggingface/transformers/pull/19031 | 1,373,066,424 | PR_kwDOCUB6oc4-8xDm | 19,031 | Mark right save_load test as slow | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,663 | 1,663 | 1,663 | COLLABORATOR | null | # What does this PR do?
Tried to mark the `test_save_load` as slow for TFVitMAE with a simple commit on main, but it looks to be too complicated a task :sweat_smile:
Sooo putting the decorator on the right tests ;-) | {
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https://api.github.com/repos/huggingface/transformers/issues/19030 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19030/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19030/comments | https://api.github.com/repos/huggingface/transformers/issues/19030/events | https://github.com/huggingface/transformers/pull/19030 | 1,373,063,765 | PR_kwDOCUB6oc4-8weE | 19,030 | TF: tf.debugging assertions without tf.running_eagerly() protection | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,663 | 1,663 | 1,663 | MEMBER | null | # What does this PR do?
In most cases, `tf.debugging` assertions (which exist as normal asserts in PyTorch models) are protected by a check for eager execution. In some places, we have stated in comments that these ops do not work with XLA, hence the check for eager execution.
The actual state of `tf.debugging` i... | {
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https://api.github.com/repos/huggingface/transformers/issues/19029 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19029/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19029/comments | https://api.github.com/repos/huggingface/transformers/issues/19029/events | https://github.com/huggingface/transformers/pull/19029 | 1,373,050,040 | PR_kwDOCUB6oc4-8tiv | 19,029 | Automate check for new pipelines and metadata update | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,663 | 1,663 | 1,663 | COLLABORATOR | null | # What does this PR do?
This PR adds a script to check that new pipelines are properly added in `update_metadata.py` so that we properly update the table that is used by the frontend to determine which pipeline tag to use by default for a given model.
This check is added as part of the `repo-consistency` job.
Of... | {
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https://api.github.com/repos/huggingface/transformers/issues/19028 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19028/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19028/comments | https://api.github.com/repos/huggingface/transformers/issues/19028/events | https://github.com/huggingface/transformers/pull/19028 | 1,372,946,454 | PR_kwDOCUB6oc4-8XNR | 19,028 | Add Document QA pipeline metadata | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,663 | 1,663 | 1,663 | COLLABORATOR | null | # What does this PR do?
This completes the table used to generate the metadata for inferring the right pipeline tags with the newly added Document QA pipeline. More are probably missing, will touch this in another PR that also adds some automatic scripting to detect missing pipelines there :-) | {
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https://api.github.com/repos/huggingface/transformers/issues/19027 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19027/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19027/comments | https://api.github.com/repos/huggingface/transformers/issues/19027/events | https://github.com/huggingface/transformers/pull/19027 | 1,372,896,282 | PR_kwDOCUB6oc4-8MKG | 19,027 | Move the model type check in DocumentQuestionAnswering to support Donut | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,663 | 1,664 | 1,664 | CONTRIBUTOR | null | # What does this PR do?
Prior to this change, you'd see an error while instantiating a pipeline with Donut:
```
In [3]: pipe = pipeline(task="document-question-answering", model='naver-clova-ix/donut-base-finetuned-docvqa')
The model 'VisionEncoderDecoderModel' is not supported for document-question-answering. ... | {
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https://api.github.com/repos/huggingface/transformers/issues/19026 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19026/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19026/comments | https://api.github.com/repos/huggingface/transformers/issues/19026/events | https://github.com/huggingface/transformers/issues/19026 | 1,372,758,203 | I_kwDOCUB6oc5R0qC7 | 19,026 | Minor inconsistency in "Transformers-based Encoder-Decoder Models" blog post | {
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"Hey @sgrigory,\r\n\r\nThis sounds very reasonable - would you like to open a PR to fix it? :-)",
"> Hey @sgrigory,\r\n> \r\n> This sounds very reasonable - would you like to open a PR to fix it? :-)\r\n\r\n@patrickvonplaten Sure, let me open a PR for this"
] | 1,663 | 1,663 | 1,663 | NONE | null | ### System Info
- `transformers` version: 4.21.3
- Platform: Darwin-20.6.0-x86_64-i386-64bit
- Python version: 3.7.6
- Huggingface_hub version: 0.9.1
- PyTorch version (GPU?): 1.9.0 (False)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not i... | {
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https://api.github.com/repos/huggingface/transformers/issues/19025 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19025/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19025/comments | https://api.github.com/repos/huggingface/transformers/issues/19025/events | https://github.com/huggingface/transformers/pull/19025 | 1,372,743,932 | PR_kwDOCUB6oc4-7q_j | 19,025 | Fix CI for `PegasusX` | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,663 | 1,663 | 1,663 | COLLABORATOR | null | # What does this PR do?
- `PegasusXGlobalLocalAttention` returns attentions as dictionary:
```python
if output_attentions:
attn_probs = {"global": global_attn_probs, "local": local_attn_probs}
else:
attn_probs = None
```
Skip this test to avoid failure [here](ht... | {
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https://api.github.com/repos/huggingface/transformers/issues/19024 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19024/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19024/comments | https://api.github.com/repos/huggingface/transformers/issues/19024/events | https://github.com/huggingface/transformers/issues/19024 | 1,372,739,138 | I_kwDOCUB6oc5R0lZC | 19,024 | Add Deformable DETR to the object detection pipeline tests | {
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"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md) a... | 1,663 | 1,667 | 1,667 | CONTRIBUTOR | null | Deformable DETR was added in #17281, however I had to [disable](https://github.com/huggingface/transformers/blob/9f4acd059f9c2a195a3ff71c5bc34cb5512b0446/tests/pipelines/test_pipelines_object_detection.py#L56-L60) the model for the object detection pipeline tests, as it fails.
However, the model runs just fine with ... | {
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https://api.github.com/repos/huggingface/transformers/issues/19023 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19023/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19023/comments | https://api.github.com/repos/huggingface/transformers/issues/19023/events | https://github.com/huggingface/transformers/pull/19023 | 1,372,668,035 | PR_kwDOCUB6oc4-7ap9 | 19,023 | Fix `DocumentQuestionAnsweringPipelineTests` | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,663 | 1,663 | 1,663 | COLLABORATOR | null | # What does this PR do?
Fix failing tests in `DocumentQuestionAnsweringPipelineTests` by updating the expected values.
This pipeline is added on Sep 7, and these tests are failing since then. | {
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"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md) a... | 1,663 | 1,666 | 1,666 | NONE | null | I made the following mistakes in the process of using it. After checking it for a long time, I did not know what was wrong.
**Error message：**
```
[INFO|modeling_tf_pytorch_utils.py:119] 2022-09-14 16:27:16,585 >> Loading PyTorch weights from /data2/xfli/biored_re/microsoft/BiomedNLP-PubMedBERT-base-uncased-abst... | {
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https://api.github.com/repos/huggingface/transformers/issues/19021 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19021/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19021/comments | https://api.github.com/repos/huggingface/transformers/issues/19021/events | https://github.com/huggingface/transformers/issues/19021 | 1,372,583,605 | I_kwDOCUB6oc5Rz_a1 | 19,021 | How to find the accuracy of the generated questions from the text ? | {
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"Hello, thanks for opening an issue! We try to keep the github issues for bugs/feature requests.\r\nCould you ask your question on the [forum](https://discuss.huggingface.co) instead?\r\n\r\nThanks!",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this stil... | 1,663 | 1,666 | 1,666 | NONE | null | I am generating a 4 types of questions. 1. WH (what, where, who, which etc.) 2. Boolean type 3. Fill in blanks 4. MCQ.
I am able to find the accuracy of the WH & MCQ type question through the code given below.
```
question= list of question
context = paragraph
from transformers import pipeline
question_an... | {
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https://api.github.com/repos/huggingface/transformers/issues/19020 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19020/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19020/comments | https://api.github.com/repos/huggingface/transformers/issues/19020/events | https://github.com/huggingface/transformers/pull/19020 | 1,372,446,735 | PR_kwDOCUB6oc4-6rRp | 19,020 | Ja/pretrain | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"oops"
] | 1,663 | 1,663 | 1,663 | NONE | null | # What does this PR do?
<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
Then, please replace this w... | {
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"Hey @darshan2203,\r\n\r\nSorry I won't be free anytime soon to look into this issue - @ArthurZucker do you want to give it a try?",
"Hey! Thanks for the issue 😄 \r\nThe proposed solution, `inputs['decoder_input_ids'] = inputs['input_ids'][:512]` is bound to fail as : \r\n```python \r\ninputs['input_ids'][:512].... | 1,663 | 1,666 | 1,666 | NONE | null | ### System Info
transformers - 4.21.1
Python - 3.8.13
torch - 1.12.0+cu113
### Who can help?
@patrickvonplaten
### Information
- [X] The official example scripts
- [ ] My own modified scripts
### Tasks
- [X] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or ... | {
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https://api.github.com/repos/huggingface/transformers/issues/19018 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19018/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19018/comments | https://api.github.com/repos/huggingface/transformers/issues/19018/events | https://github.com/huggingface/transformers/pull/19018 | 1,372,081,530 | PR_kwDOCUB6oc4-5diA | 19,018 | Speed up tokenization by caching all_special_ids | {
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"Hi @yashneeva ,\r\n\r\nThank you very much for your proposal! Do you have some time to look at the failed tests? :hugs: ",
"> Thank you very much for your proposal! Do you have some time to look at the failed tests? 🤗\r\n\r\nHi sorry, was going to look at them before requesting review. Will try and take some ti... | 1,663 | 1,663 | 1,663 | NONE | null | Also makes all_special_ids a set instead of list to speed up the "token in all_special_ids" call. In our tests these two changes made that line over 1000x faster, leading to a noticeable improvement in overall tokenization speeds.
# What does this PR do?
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"Hi @ai-john 👋 As per our [issues guidelines](https://github.com/huggingface/transformers/blob/main/ISSUES.md), we reserve GitHub issues for bugs in the repository and/or feature requests. For any other matters, we'd like to invite you to use our [forum](https://discuss.huggingface.co/) 🤗\r\n\r\nAs you wrote, ML... | 1,663 | 1,666 | 1,666 | NONE | null | ### System Info
Transformers version: 4.16.2
Python version: 3.8
Pytorch version: 1.11.0
CUDA version: 11.7
Docker version: 20.10.17
### Reproduction
Hello!
We noticed an interesting issue.
Currently, we have a monolithic app with 2 PyTorch models - model A and model B(both GPT based models).
If w... | {
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As discussed in #18817 we have decided that Transformers will support versions of PyTorch and TensorFlow for two years after their releases. As a result, Transformers can now assume a minimum version of 1.7.0 for PyTorch and 2.4.0 for TensorFlow. This PR enforces this in the setup and then si... | {
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] | 1,663 | 1,663 | 1,663 | CONTRIBUTOR | null | Based on issue https://github.com/huggingface/transformers/issues/16059
@Rocketknight1 could you please look into it?
Thanks :) | {
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"cc @alaradirik ",
"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,663 | 1,663 | 1,663 | COLLABORATOR | null | # What does this PR do?
During the cache revamp done in #18438, we accidentally lost support for single urls in `from_pretrained` methods (something like `config = AutoConfig.from_pretrained("http://my_custom_config.json")`. This is not something we want to support in the long run as users should use the Hub to stor... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,663 | 1,663 | 1,663 | MEMBER | null | # What does this PR do?
Since I'm touching the part of our code that handles resizing of token embeddings, I decided to boost our test suite there.
This PR adds two tests regarding resizing token embeddings, on the TF side:
1. Tests that we can resize the embeddings of a model, save it, and then restore it (with... | {
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"Hey @oobabooga, are you getting an error when running this code currently on AMD? Could you maybe just try it out and add a stack trace here if it doesn't work? :-) \r\n\r\nThanks!",
"Hello @patrickvonplaten, I am not getting an error, I would just like to know if transformers also works on AMD or if it is exclu... | 1,663 | 1,671 | 1,663 | CONTRIBUTOR | null | ### System Info
Hello,
I would like to ask if it is possible to run models like GPT-J and OPT-6.7b using an AMD GPU like RX 6800 16GB.
Specifically using `AutoModelForCausalLM.from_pretrained`. I have similar models (like OPT-1.3B) working on an NVIDIA GPU with half precision, but I don't know if it would seam... | {
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https://api.github.com/repos/huggingface/transformers/issues/19011 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19011/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19011/comments | https://api.github.com/repos/huggingface/transformers/issues/19011/events | https://github.com/huggingface/transformers/issues/19011 | 1,371,606,053 | I_kwDOCUB6oc5RwQwl | 19,011 | AttributeError: 'TrainingArguments' object has no attribute 'main_process_first' | {
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"Hey @xueyongfu, could you provide a minimal reproducible code example for the issue you're facing? Thank you.",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues that d... | 1,663 | 1,666 | 1,666 | NONE | null | ### System Info
AttributeError: 'TrainingArguments' object has no attribute 'main_process_first'
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] M... | {
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https://api.github.com/repos/huggingface/transformers/issues/19010 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19010/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19010/comments | https://api.github.com/repos/huggingface/transformers/issues/19010/events | https://github.com/huggingface/transformers/pull/19010 | 1,371,538,453 | PR_kwDOCUB6oc4-3p9_ | 19,010 | add missing `require_tf` for `TFOPTGenerationTest` | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,663 | 1,663 | 1,663 | COLLABORATOR | null | # What does this PR do?
On scheduled CI, it was fine, as the docker image have TF installed.
On past CI project, it failed due to the lack of TF.
In any case, we should have `require_tf` for this test. | {
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https://api.github.com/repos/huggingface/transformers/issues/19009 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19009/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19009/comments | https://api.github.com/repos/huggingface/transformers/issues/19009/events | https://github.com/huggingface/transformers/pull/19009 | 1,371,378,529 | PR_kwDOCUB6oc4-3HV3 | 19,009 | Added OnnxConfig for MPNet models | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_19009). All of your documentation changes will be reflected on that endpoint.",
"@ChainYo As I mentioned in the pr description, a function inside torch (with version 1.11) had an issue parsing the signature correctly and pr... | 1,663 | 1,696 | 1,667 | NONE | null | # What does this PR do?
This PR Adds `OnnxConfig` for MPNet based models.
In order for the conversion to be compatible with some older versions of PyTorch (In my case 1.11.0), I had to add `*args`, to the signature of `forward` functions that were using `**kwargs`. This was because `_decide_input_format` in PyTo... | {
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https://api.github.com/repos/huggingface/transformers/issues/19008 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19008/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19008/comments | https://api.github.com/repos/huggingface/transformers/issues/19008/events | https://github.com/huggingface/transformers/issues/19008 | 1,371,335,890 | I_kwDOCUB6oc5RvOzS | 19,008 | TypeError: __init__() got an unexpected keyword argument 'evaluate_during_training' | {
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"As the error mentions, there is no `evaluate_during_training` argument. I have no idea where you found it.\r\nYou can find the list of arguments of this class in the [documentation](https://huggingface.co/docs/transformers/main_classes/trainer#transformers.Seq2SeqTrainingArguments).",
"This issue has been automa... | 1,663 | 1,666 | 1,666 | NONE | null | I got this error while training. I have used Seq2SeqTrainingArguments class from transformers:
```
import logging
from dataclasses import dataclass, field
from typing import Optional
from seq2seq_trainer import arg_to_scheduler
from transformers import TrainingArguments
logger = logging.getLogger(__nam... | {
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https://api.github.com/repos/huggingface/transformers/issues/19007 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19007/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19007/comments | https://api.github.com/repos/huggingface/transformers/issues/19007/events | https://github.com/huggingface/transformers/pull/19007 | 1,371,228,386 | PR_kwDOCUB6oc4-2moG | 19,007 | Detr preprocessor fix | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,663 | 1,663 | 1,663 | CONTRIBUTOR | null | # What does this PR do?
Ensures that `DetrFeatureExtractor` doesn't preprocess input `images` and `annotations` in-place by creating deep copies of inputs within `DetrFeatureExtractor.__call__()`.
`YolosFeatureExtractor` has the same issue and will be fixed in a separate PR.
Fixes #[18987](https://github.com/hug... | {
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https://api.github.com/repos/huggingface/transformers/issues/19006 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19006/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19006/comments | https://api.github.com/repos/huggingface/transformers/issues/19006/events | https://github.com/huggingface/transformers/pull/19006 | 1,371,214,217 | PR_kwDOCUB6oc4-2ji9 | 19,006 | Generate: new length penalty docstring | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"> So it means that we are always enabling length penalty by default, since 1.0 is not the neutral value, right?\r\n\r\n@sgugger correct. It is set to `1.0` by default in `PretrainedConfig` ([here](https://github.com/huggingface/trans... | 1,663 | 1,686 | 1,663 | MEMBER | null | # What does this PR do?
Fixes #18971
Fixes #18208
The docstring for `length_penalty` was incomplete and incorrect -- it only has effect with beam-based strategies and the impact of this `float` argument is the other way around (> 0.0 promotes longer sequences, not shorter sequences). This PR rewrites it.
For... | {
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https://api.github.com/repos/huggingface/transformers/issues/19005 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19005/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19005/comments | https://api.github.com/repos/huggingface/transformers/issues/19005/events | https://github.com/huggingface/transformers/issues/19005 | 1,371,031,184 | I_kwDOCUB6oc5RuEaQ | 19,005 | ConvNextModel doesn't work well on M1 mac for batches containing more than 2 images | {
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"Hello, I have an M1 Mac and would love to try to tackle this issue",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues that do not follow the [contributing guidelines](... | 1,663 | 1,666 | 1,666 | NONE | null | ### System Info
- `transformers` version: 4.21.3
- Platform: macOS-12.3.1-arm64-arm-64bit
- Python version: 3.9.13
- Huggingface_hub version: 0.9.1
- PyTorch version (GPU?): 1.12.1 (False)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not inst... | {
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https://api.github.com/repos/huggingface/transformers/issues/19004 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19004/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19004/comments | https://api.github.com/repos/huggingface/transformers/issues/19004/events | https://github.com/huggingface/transformers/pull/19004 | 1,371,025,090 | PR_kwDOCUB6oc4-17Jn | 19,004 | Fix tokenizer class for `XLMRobertaXL` | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,663 | 1,663 | 1,663 | COLLABORATOR | null | # What does this PR do?
The 2 checkpoints for `XLMRobertaXL` use `XLMRobertaTokenizer` as `tokenizer_class`. In my PR #16857, I only checked `_CONFIG_FOR_DOC` in the modeling file at that time, and took `RobertaTokenizer` from there, which was wrong. | {
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https://api.github.com/repos/huggingface/transformers/issues/19003 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19003/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19003/comments | https://api.github.com/repos/huggingface/transformers/issues/19003/events | https://github.com/huggingface/transformers/issues/19003 | 1,370,798,140 | I_kwDOCUB6oc5RtLg8 | 19,003 | Old import clause in seq2seq trainer | {
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"The problem comes when trying to import `torch`, according to the traceback you posted, so you should raise the issue there :-)",
"> \r\nThere are solutions: people in the following issue changed the import clause by themself. However, in my condition, this import clause is written in the package \"transformer,\... | 1,663 | 1,666 | 1,666 | NONE | null | ### System Info
transformers==4.21.3
pytorch==1.10.1+cu111
### Who can help?
@sgugger
### Information
- [ ] The official example scripts
- [X] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or dataset (give details belo... | {
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https://api.github.com/repos/huggingface/transformers/issues/19002 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19002/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19002/comments | https://api.github.com/repos/huggingface/transformers/issues/19002/events | https://github.com/huggingface/transformers/pull/19002 | 1,370,738,123 | PR_kwDOCUB6oc4-0-nW | 19,002 | add DDP HPO support for optuna | {
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"@yao-matrix @sgugger please have a review",
"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,663 | 1,666 | 1,663 | CONTRIBUTOR | null | only main_process will have HPO, and pass argument to other process
Signed-off-by: Wang, Yi A <yi.a.wang@intel.com>
# What does this PR do?
<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, s... | {
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"In addition to this, \r\nLine 84 does not have an appropriate link. How should I change it?\r\n`\r\nIf you're still struggling with the build, first make sure to read [zero-install-notes](#zero-install-notes).\r\n`",
"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,663 | 1,663 | 1,663 | CONTRIBUTOR | null | # What does this PR do?
Fix a broken link for deepspeed ZeRO inference in the documentation | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@sgugger this fixes #18967. Please review."
] | 1,663 | 1,663 | 1,663 | CONTRIBUTOR | null | Many example scripts currently do `parser.add_argument("--overwrite_cache", type=bool, default=None)` which always sets the argument to `True` no matter what value is passed.
Fixes #18967
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the... | {
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"Hi @nkandpa2 👋 \r\n\r\nWe are aware of this problem (see also https://github.com/huggingface/transformers/issues/17283), and we are working on a fix (https://github.com/huggingface/transformers/pull/18048)\r\n\r\nAs you wrote, it is not a trivial change :D ",
"This issue has been automatically marked as stale b... | 1,663 | 1,668 | 1,668 | NONE | null | ### Feature request
The GPTNeoXForCausalLM class' forward method does not support passing `position_ids`. This model class uses rotary positional encodings so `position_ids` are needed for correct forward passes on left padded sequences.
### Motivation
The GPTNeoXModel class uses rotary positional encodings so `pos... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,663 | 1,663 | 1,663 | CONTRIBUTOR | null | Based on the issue https://github.com/huggingface/transformers/issues/16059
@Rocketknight1 could you see if it's good?
Thanks :) | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,663 | 1,663 | 1,663 | CONTRIBUTOR | null | # What does this PR do?
- Updates `MaskFormerFeatureExtractor` docstrings for clarity
- Fixes bug in `MaskFormerFeatureExtractor` that causes instance segmentation maps to be processed incorrectly
- Adds support to use per-image instance_id_2_semantic_id mappings
Fixes #18989
## Before submitting
- [ ] This... | {
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] | 1,663 | 1,663 | 1,663 | CONTRIBUTOR | null | Based on issue #16059
@Rocketknight1 could you check it?
Thanks :) | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@ydshieh -- no command was added there, but rather a newline at the end of the file (automatic vscode settings). They already exist in some of the docker files. Happy to revert!",
"Oh, it's fine. No need to revert. (The consequence... | 1,663 | 1,663 | 1,663 | MEMBER | null | # What does this PR do?
Unpins TF, but adds the appropriate test skips.
Should remove the tensorflow probability CI problem. | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,662 | 1,663 | 1,663 | COLLABORATOR | null | # What does this PR do?
`facebook/wav2vec2-conformer-rel-pos-large` doesn't exist on the Hub. | {
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"cc @ydshieh -- this PR fixes the TFRag test we've seen in the scheduled CI run",
"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,662 | 1,663 | 1,663 | MEMBER | null | # What does this PR do?
Follow up to #18939 -- the embeddings weights were not being named correctly when `load_weight_prefix` was being passed. A few comments were also added so that our future selves remember how TF sets the names to their variables.
This was the cause of the TFRag test failures, as the loaded ... | {
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"Example scripts are just that, examples :-) They are not production-ready apps. They won't do everything you might need for your specific use-cases, but they are also easy to tweak as we try to keep them simple and readable. That's why we keep the generated text save simple, but you shouldn't hesitate to change th... | 1,662 | 1,666 | 1,666 | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.22.0.dev0
- Platform: Linux-4.18.0-372.19.1.el8_6.x86_64-x86_64-with-glibc2.30
- Python version: 3.9.6
- Huggingface_hub version: 0.8.1
- PyTorch version (GPU?): 1.12.0 (False)
- Tensorflow version (GPU?): not installed (NA)
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] | 1,662 | 1,662 | 1,662 | MEMBER | null | (This is not an urgent fix and can wait until after the release)
Our TF models include a cookie-cutter docstring explaining how inputs can be passed, which is very prominent in the online docs. Parts of this are old and confusing, and it had a few errors, both grammar and variable names. I rewrote it, which should h... | {
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"@sgugger Hi, would it be a valuable contribution to HuggingFace?",
"If you want to dive into this model, yes it would definitely be of interest!",
"Alright @sgugger , I'll soon put up a PR on this !",
"Hi @shivance! - Are you still working on this model? Since if not I would be interested in picking it up. H... | 1,662 | 1,674 | 1,674 | NONE | null | ### Model description
I would like to add the Molecular Attention Transformer [MAT](https://github.com/ardigen/MAT) model to the Transformers
MAT has been a big leap towards development of a single neural network architecture that performs competitively across a range of molecule property prediction tasks. It unloc... | {
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- `transformers` version: 4.22.0.dev0
- Platform: macOS-10.16-x86_64-i386-64bit
- Python version: 3.8.13
- Huggingface_hub version: 0.9.1
- PyTorch version (GPU?): 1.11.0 (False)
- Tensorflow version (GPU?): 2.9.1 (False)
- Flax version (CPU?/GPU?/TPU?): 0.5.0 (cpu)
- Jax version: 0.3.6
- Jax... | {
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"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md) a... | 1,662 | 1,666 | 1,666 | NONE | null | ### System Info
- `transformers` version: 4.22.0.dev0
- Platform: Linux-5.4.0-110-generic-x86_64-with-glibc2.31
- Python version: 3.9.12
- Huggingface_hub version: 0.8.1
- PyTorch version (GPU?): 1.12.1+cu102 (True)
- Tensorflow version (GPU?): not installed (NA)
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https://api.github.com/repos/huggingface/transformers/issues/18987 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18987/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18987/comments | https://api.github.com/repos/huggingface/transformers/issues/18987/events | https://github.com/huggingface/transformers/issues/18987 | 1,369,860,913 | I_kwDOCUB6oc5Rpmsx | 18,987 | Calling DetrFeatureExtractor will modify its inputs | {
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"Thanks for reporting. I've noticed this myself and we'll fix this.\r\n\r\ncc @amyeroberts @alaradirik ",
"Yes, thanks for reporting! This will be fixed shortly.",
"Closing this issue as the fix PR is merged."
] | 1,662 | 1,663 | 1,663 | CONTRIBUTOR | null | ### System Info
Python 3.9.1, Transformers 4.21.3, Ubuntu 18.04 (inside Docker) but I think it will be the case in all versions.
### Who can help?
@NielsRogge
### Information
- [ ] The official example scripts
- [X] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (su... | {
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"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md) a... | 1,662 | 1,666 | 1,666 | NONE | null | ### Feature request
i want to test my own data for getting same embeddings for which are used for the wiki_dpr model.
### Motivation
i'm interest to explore more on own data
### Your contribution
till now not there | {
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https://api.github.com/repos/huggingface/transformers/issues/18985 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18985/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18985/comments | https://api.github.com/repos/huggingface/transformers/issues/18985/events | https://github.com/huggingface/transformers/pull/18985 | 1,369,748,439 | PR_kwDOCUB6oc4-xoi3 | 18,985 | Fix shift_right for padded sequences in MBART | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_18985). All of your documentation changes will be reflected on that endpoint.",
"Hey @BramVanroy,\r\n\r\nThanks a lot for the great explanation :heart: - it's very easy to see the problem.\r\n\r\nJust a quick question befor... | 1,662 | 1,667 | 1,667 | COLLABORATOR | null | # What does this PR do?
While `shift_tokens_right` indicates that it accounts for padding tokens, it does not do so correctly when padded tokens are at the end of a sequence. In the example below you'll see that the current implementation does not correctly account for the padding tokens when replacing the tokens. T... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@gante the proposed PT implementation passes the edge case. I also added the edge case locally and verified that the existing FLAX implementation passes the edge case with no change required in its implementation. \r\n\r\nHowever, th... | 1,662 | 1,663 | 1,663 | CONTRIBUTOR | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/18983 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18983/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18983/comments | https://api.github.com/repos/huggingface/transformers/issues/18983/events | https://github.com/huggingface/transformers/pull/18983 | 1,369,709,556 | PR_kwDOCUB6oc4-xgCE | 18,983 | Generation: fix TopPLogitsWarper edge case | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Superseded by #18984 "
] | 1,662 | 1,666 | 1,662 | MEMBER | null | # What does this PR do?
As raised by @ekagra-ranjan in #18976, the PT implementation for `TopPLogitsWarper` is failing in the case where the sum of the top tokens is exactly `top_p` (the current implementation adds an additional token). TF and FLAX's implementation does not suffer from this, so PT's implementation i... | {
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- Colab
- `transformers` version: 4.22.0.dev0
- Platform: Linux-5.10.133+-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.7.13
- Huggingface_hub version: 0.9.1
- PyTorch version (GPU?): 1.12.1+cu113 (False)
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] | 1,662 | 1,663 | 1,663 | CONTRIBUTOR | null | # What does this PR do?
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Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
Then, please replace this w... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,662 | 1,662 | 1,662 | COLLABORATOR | null | # What does this PR do?
The usage of `decoder_position_ids` in `check_decoder_model_past_large_inputs` will produce different results **when the initial attention mask (i.e. the called `past`) contains `0`**, and makes the test flaky.
This PR remove `check_decoder_model_past_large_inputs` from this test. This als... | {
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https://api.github.com/repos/huggingface/transformers/issues/18979 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18979/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18979/comments | https://api.github.com/repos/huggingface/transformers/issues/18979/events | https://github.com/huggingface/transformers/issues/18979 | 1,369,490,521 | I_kwDOCUB6oc5RoMRZ | 18,979 | MBART tokenizer not behaving as example | {
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"The example [here](https://huggingface.co/docs/transformers/main/model_doc/mbart#training-of-mbart) also does not seem to work as intended. It yields\r\n\r\n```Keyword arguments {'text_target': 'Şeful ONU declară că nu există o soluţie militară în Siria'} not recognized.```\r\n\r\nand `input_ids` only contains the... | 1,662 | 1,677 | 1,677 | COLLABORATOR | null | ### System Info
- `transformers` version: 4.21.3
- Platform: Windows-10-10.0.19041-SP0
- Python version: 3.9.2
- Huggingface_hub version: 0.9.1
- PyTorch version (GPU?): 1.12.1+cu113 (True)
### Who can help?
@patil-suraj @SaulLu
### Information
- [X] The official example scripts
- [ ] My own modifi... | {
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https://api.github.com/repos/huggingface/transformers/issues/18978 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18978/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18978/comments | https://api.github.com/repos/huggingface/transformers/issues/18978/events | https://github.com/huggingface/transformers/issues/18978 | 1,368,912,448 | I_kwDOCUB6oc5Rl_JA | 18,978 | KeyError when initialize the tokenizer with Atutokenizer for ernie-1.0-base-zh` | {
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"Running into the same issue with \"nghuyong/ernie-2.0-base-en\". It was working on Friday so I'm assuming a change to either Transformers or the model's owners repo is causing this. \r\n\r\nLooks like Sat the owner updated the config file for the hosted model which may causing the issue. I don't believe there is... | 1,662 | 1,677 | 1,666 | NONE | null | ### System Info
- `transformers` version: 4.6.0
- Platform: Linux-3.10.0-1160.49.1.el7.x86_64-x86_64-with-debian-buster-sid
- Python version: 3.6.10
- PyTorch version (GPU?): 1.7.0a0+7036e91 (True)
- Tensorflow version (GPU?): not installed (NA)
- Using GPU in script?: <fill in>
- Using distributed or parallel s... | {
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https://api.github.com/repos/huggingface/transformers/issues/18977 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18977/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18977/comments | https://api.github.com/repos/huggingface/transformers/issues/18977/events | https://github.com/huggingface/transformers/pull/18977 | 1,368,879,953 | PR_kwDOCUB6oc4-uyMD | 18,977 | Add Support to Gradient Checkpointing for LongT5 | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@sanchit-gandhi could you take a quick look here?"
] | 1,662 | 1,663 | 1,663 | CONTRIBUTOR | null | # What does this PR do?
FlaxLongT5PreTrainedModel is missing "enable_gradient_checkpointing" function. This gives an error if someone tries to enable gradient checkpointing for longt5:
```
model.enable_gradient_checkpointing() ... | {
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