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https://api.github.com/repos/huggingface/transformers/issues/16971 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16971/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16971/comments | https://api.github.com/repos/huggingface/transformers/issues/16971/events | https://github.com/huggingface/transformers/issues/16971 | 1,217,721,631 | I_kwDOCUB6oc5IlPUf | 16,971 | AttributeError: 'DataParallel' object has no attribute 'save_pretrained' | {
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"`DataParallel` wraps the model. To access the underlying module, you can use the `module` attribute:\r\n```py\r\n>>> from torch.nn import DataParallel\r\n>>> model = nn.DataParallel(model)\r\n>>> model.module.save_pretrained(<directory>)\r\n```",
"> `DataParallel` wraps the model. To access the underlying module... | 1,651 | 1,651 | 1,651 | NONE | null | ### System Info
```shell
torch==1.10.2+cu113
transformers==4.18.0
Python 3.6.9
Linux "18.04.6 LTS (Bionic Beaver)"
```
I am training a T5 transformer (T5ForConditionalGeneration.from_pretrained(model_params["MODEL"])) to generate text. The model works well when I train it on a single GPU. But when I want to ... | {
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] | 1,651 | 1,651 | 1,651 | COLLABORATOR | null | # What does this PR do?
The block from L396 to L398 should be in the `else` block if I understand correctly.
https://github.com/huggingface/transformers/blob/8d3f952adb8c98cec2ea1f59bb7acfbc08232381/utils/check_repo.py#L394-L398
Otherwise, when a model has no test file, I get errors like below, and the progra... | {
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https://api.github.com/repos/huggingface/transformers/issues/16969 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16969/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16969/comments | https://api.github.com/repos/huggingface/transformers/issues/16969/events | https://github.com/huggingface/transformers/pull/16969 | 1,217,668,845 | PR_kwDOCUB6oc425B_j | 16,969 | Fix doc notebooks links | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,651 | 1,651 | 1,651 | COLLABORATOR | null | # What does this PR do?
Notebooks for the documentation have moved under the `en` folder, this PR fixes all the links we have. | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,651 | 1,651 | 1,651 | CONTRIBUTOR | null | # Fix save logic in all `no_trainer` examples
## What does this add?
This PR fixes a bug pointed out in https://github.com/huggingface/accelerate/issues/322, where the save and load logic was wrong in how it skipped over the steps in the training loop.
This PR fixes it and changes the internals slightly to let savei... | {
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https://api.github.com/repos/huggingface/transformers/issues/16967 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16967/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16967/comments | https://api.github.com/repos/huggingface/transformers/issues/16967/events | https://github.com/huggingface/transformers/issues/16967 | 1,217,488,489 | I_kwDOCUB6oc5IkWZp | 16,967 | cannot import name 'RegNetModel' from 'transformers' | {
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"RegNet is currently only available from the main branch, it will be included it in the next release. You can install it as follows:\r\n\r\n`pip install git+https://github.com/huggingface/transformers.git`\r\n\r\n"
] | 1,651 | 1,652 | 1,652 | NONE | null | ### System Info
```shell
python 3.8
transformers 4.18.0
```
### 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, ...)
- [ ] My ... | {
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https://api.github.com/repos/huggingface/transformers/issues/16966 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16966/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16966/comments | https://api.github.com/repos/huggingface/transformers/issues/16966/events | https://github.com/huggingface/transformers/pull/16966 | 1,217,483,649 | PR_kwDOCUB6oc424bze | 16,966 | Fix add-new-model-like when model doesn't support all frameworks | {
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] | 1,651 | 1,651 | 1,651 | COLLABORATOR | null | # What does this PR do?
This fixes the `transformers-cli add-new-model-like` command when the model used as a model is not implemented in all frameworks. | {
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] | 1,651 | 1,651 | 1,651 | CONTRIBUTOR | null | BertModelForSequenceClassification -> [BertForSequenceClassification](https://huggingface.co/docs/transformers/main/en/model_doc/bert#transformers.BertForSequenceClassification)
# What does this PR do?
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] | 1,651 | 1,651 | 1,651 | CONTRIBUTOR | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/16962 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16962/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16962/comments | https://api.github.com/repos/huggingface/transformers/issues/16962/events | https://github.com/huggingface/transformers/issues/16962 | 1,217,329,497 | I_kwDOCUB6oc5IjvlZ | 16,962 | Can't reproduce training of wav2vec2-large from documentation | {
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"Hey @HLasse,\r\n\r\nCould you increase this parameter: https://huggingface.co/facebook/wav2vec2-large-lv60/blob/main/config.json#L62 to `0.5` and see if it works then? It seems like given the sequence length you are not sampling enough negative targets.\r\n\r\nAlso it'll be really hard / impossible to do a full pr... | 1,651 | 1,697 | 1,651 | NONE | null | ### System Info
```shell
- `transformers` version: 4.19.0.dev0
- Platform: Linux-5.4.0-109-generic-x86_64-with-glibc2.29
- Python version: 3.8.10
- Huggingface_hub version: 0.5.1
- PyTorch version (GPU?): 1.11.0+cu102 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not ... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@sgugger @wlhgtc @LowinLi Please review this PR if you have time thank you.",
"Thanks for your PR. Note that we don't maintain research projects, they are pinned to work with a specific version of Transformers. You will need approv... | 1,651 | 1,651 | 1,651 | CONTRIBUTOR | null | ## WHY
- I noticed that the parameter `--config_overrides` is only available in `run_clm.py`, `run_plm.py` and `run_mlm.py` in `examples/pytorch/language-modeling`, but not available in `run_mlm_wwm.py` in `examples/research_projects/mlm_wwm/run_mlm_wwm.py`.
- However, I want to train a wwm model from scratch too, s... | {
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https://api.github.com/repos/huggingface/transformers/issues/16960 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16960/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16960/comments | https://api.github.com/repos/huggingface/transformers/issues/16960/events | https://github.com/huggingface/transformers/issues/16960 | 1,217,074,446 | I_kwDOCUB6oc5IixUO | 16,960 | Word limit with mBART-50 translation | {
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"Hey @phayat ! Could you please post a code-snippet so we could reproduce the issue ? Thanks!",
"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 ... | 1,651 | 1,674 | 1,655 | NONE | null | I'm using facebook/mbart-large-50-many-to-many-mmt model to translate french texts to english, but it seems the translation is limited to the first 110 words of the input text.
Do you confirm? and is there a way to fix this?
Thanks in advance. | {
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https://api.github.com/repos/huggingface/transformers/issues/16959 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16959/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16959/comments | https://api.github.com/repos/huggingface/transformers/issues/16959/events | https://github.com/huggingface/transformers/pull/16959 | 1,216,998,923 | PR_kwDOCUB6oc422zNW | 16,959 | Add -e flag to some GH workflow yml files | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"The added check will produce something like (if the transformers is not from the expected location)\r\n\r\n<img width=\"777\" alt=\"Screenshot 2022-04-27 131320\" src=\"https://user-images.githubusercontent.com/2521628/165506295-901f... | 1,651 | 1,651 | 1,651 | COLLABORATOR | null | # What does this PR do?
Current 2 GitHub actions workflow yml use `pip install [.dev]`. This installs `transformers` in `/home/runner/venv/lib/python3.6/site-packages`, and this is cached. In future job runs, the cache is restored, and that `transformers` version is used - instead of the latest commit, i.e. we want ... | {
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https://api.github.com/repos/huggingface/transformers/issues/16958 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16958/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16958/comments | https://api.github.com/repos/huggingface/transformers/issues/16958/events | https://github.com/huggingface/transformers/pull/16958 | 1,216,979,828 | PR_kwDOCUB6oc422vMK | 16,958 | Misc. fixes for Pytorch QA examples: | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,651 | 1,651 | 1,651 | CONTRIBUTOR | null | Thank you for the great library! This fixes a number of issues with Pytorch QA examples. All numbers are either the same or went up. However, there are still some issues, which I wasn't able to fix (in one example). Please, see the notes and benchmark results below.
# What does this PR do?
1. Fixes evaluation error... | {
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```shell
I am using transformer trainer while meeting the issue.
The trainer requests torch.utils.data.Dataset as input, which loads the whole dataset into the memory at once. Therefore, when the dataset is too large to load, there's nothing I can do except using IterDataset, which loads samples of da... | {
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https://api.github.com/repos/huggingface/transformers/issues/16955 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16955/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16955/comments | https://api.github.com/repos/huggingface/transformers/issues/16955/events | https://github.com/huggingface/transformers/issues/16955 | 1,216,885,736 | I_kwDOCUB6oc5IiDPo | 16,955 | config.json not found! | {
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"Sorry to issue here, I have already asked this question in the forum but haven't receive any response.",
"This means the folders were not created. Are you sure you point to locations where the Python script can write?",
"This issue has been automatically marked as stale because it has not had recent activity. ... | 1,651 | 1,654 | 1,654 | NONE | null | ### System Info
```shell
- `transformers` version: 4.18.0
- Platform: Linux-5.4.0-1063-azure-x86_64-with-glibc2.10
- Python version: 3.8.3
- Huggingface_hub version: 0.5.1
- PyTorch version (GPU?): 1.7.1+cu110 (True)
- Tensorflow version (GPU?): 2.4.1 (True)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
-... | {
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https://api.github.com/repos/huggingface/transformers/issues/16954 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16954/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16954/comments | https://api.github.com/repos/huggingface/transformers/issues/16954/events | https://github.com/huggingface/transformers/pull/16954 | 1,216,719,811 | PR_kwDOCUB6oc4213ZQ | 16,954 | Initialization | {
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<!--
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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https://api.github.com/repos/huggingface/transformers/issues/16953 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16953/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16953/comments | https://api.github.com/repos/huggingface/transformers/issues/16953/events | https://github.com/huggingface/transformers/pull/16953 | 1,216,641,236 | PR_kwDOCUB6oc421nCk | 16,953 | Add Information Gain Filtration algorithm | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Could you just run the code quality tool to ensure that the code quality passes? You can install them with the following, from the root of your clone:\r\n```\r\npip install -e \".[quality]\"\r\n```\r\nAnd then run them with:\r\n```\r... | 1,651 | 1,652 | 1,652 | CONTRIBUTOR | null | # What does this PR do?
Adding a new feature for fine-tuning transformer models called Information Gain Filtration 'IGF'
### Motivation
The quality of a fine-tuned model depends on the quality of the data samples used for the first few batches. As the process is stochastic, a random seed would influence the ... | {
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"Hi,\r\n\r\nData2Vec is only available on the main branch for now: pip install git+https://github.com/huggingface/transformers.git.",
"Hi\r\n\r\nI can't find the name **Data2VecForCTC** in https://github.com/huggingface/transformers/blob/main/src/transformers/__init__.py either.",
"Here it is: https://github.co... | 1,651 | 1,654 | 1,654 | CONTRIBUTOR | null | ### System Info
```shell
- `transformers` version: 4.18.0
- Platform: Linux-5.13.0-40-generic-x86_64-with-glibc2.31
- Python version: 3.9.7
- Huggingface_hub version: 0.2.1
- PyTorch version (GPU?): 1.11.0 (True)
- Tensorflow version (GPU?): 2.7.0 (True)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- ... | {
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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... | 1,651 | 1,654 | 1,654 | NONE | 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 docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_16950). All of your documentation changes will be reflected on that endpoint.",
"> Thanks for your PR. Two comments on it:\r\n> \r\n> 1. This breaks the current behavior of the `Trainer` where each checkpoint can be loaded ... | 1,651 | 1,655 | 1,655 | CONTRIBUTOR | null | # What does this PR do?
- Uses `smp.rdp_rank()` instead of `smp.rank()` for partial checkpoint saving in `should_save`.
- Uses `local_state_dict()` with partial checkpoint saving.
- Uses `smp.save ` for SMP.
- Uses` smp.load ` for SMP. Reorders partial checkpoint loading to happen after wrapping of model, since `... | {
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"Duplicate of #16914 ",
"@[NielsRogge](https://github.com/NielsRogge)\r\nI have one question for layoutlmv3, does layoutlmv3 can support RE and SER task for xfund dataset now?"
] | 1,651 | 1,652 | 1,651 | NONE | null | ### Model description
LayoutLMv3 is a pre-trained multimodal Transformer for Document AI with unified text and image masking. The simple unified architecture and training objectives make LayoutLMv3 a general-purpose pre-trained model. For example, LayoutLMv3 can be fine-tuned for both text-centric tasks, including for... | {
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https://api.github.com/repos/huggingface/transformers/issues/16948 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16948/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16948/comments | https://api.github.com/repos/huggingface/transformers/issues/16948/events | https://github.com/huggingface/transformers/pull/16948 | 1,216,073,527 | PR_kwDOCUB6oc42ztGZ | 16,948 | Add ResNet to models exportable with ONNX | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_16948). All of your documentation changes will be reflected on that endpoint.",
"Thanks for the suggestions. One test fails when running slow tests. The error is:\r\n> ValueError: Outputs values doesn't match between refere... | 1,650 | 1,654 | 1,654 | NONE | null | # What does this PR do?
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,650 | 1,651 | 1,651 | COLLABORATOR | null | # What does this PR do?
Checkpoint sharding introduced a bug in `save_pretrained` for distributed setups, where the function is called on every process (TPU training for instance, or the scripts with Accelerate (see [this issue](https://github.com/huggingface/accelerate/issues/325)).
This changes the logic to only ... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,650 | 1,651 | 1,651 | CONTRIBUTOR | null | # What does this PR do?
This PR fixes a weird bug that made optional boolean arguments not being recognized properly in my virtual environment.
Replacing "is" by "==" fixed the issue.
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,650 | 1,651 | 1,651 | COLLABORATOR | null | # What does this PR do?
Move test model folders | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,650 | 1,652 | 1,652 | CONTRIBUTOR | null | This PR updates the preprocessing script of CodeParrot data (python files), we add new filters for:
- config and test files
- uncommon files (those without a mention of Python classic keyworks: `def`, `for`..)
- unusual files (don't use the assignement `=` operator often)
- files with low ratio between number of... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Think it might be a great idea to add a check to avoid such situation occur in the future. Will do it in another PR."
] | 1,650 | 1,651 | 1,651 | COLLABORATOR | null | # What does this PR do?
Fix `HubertRobustTest` PT/TF equivalence test on GPU.
Note that `HubertRobustModelTest` has
```python
def setUp(self):
self.model_tester = HubertModelTester(
self, conv_stride=(3, 3, 3), feat_extract_norm="layer", do_stable_layer_norm=True
)
```
b... | {
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https://api.github.com/repos/huggingface/transformers/issues/16942 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16942/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16942/comments | https://api.github.com/repos/huggingface/transformers/issues/16942/events | https://github.com/huggingface/transformers/issues/16942 | 1,215,703,405 | I_kwDOCUB6oc5Idilt | 16,942 | Pretraining code of LayoutLMv2 | {
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"Hi, \r\n\r\nMicrosoft hasn't open-sourced any pretraining code, unfortunately. ",
"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... | 1,650 | 1,653 | 1,653 | NONE | null | I was wondering is pre-training code of LayoutLMv2 model publicly available. @NielsRogge | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,650 | 1,651 | 1,651 | CONTRIBUTOR | null | The emoji version must be either 0.5.4 or 0.6.0. Newer emoji versions have been updated to newer versions of the Emoji Charts, thus not consistent with the one used for pre-processing the pre-training Tweet corpus (i.e. not consistent with the vocab).
# What does this PR do?
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"I should read the documentation carefully..."
] | 1,650 | 1,650 | 1,650 | CONTRIBUTOR | null | ### System Info
```shell
- `transformers` version: 4.15.0
- Platform: Linux-4.15.0-54-generic-x86_64-with-glibc2.10
- Python version: 3.8.5
- PyTorch version (GPU?): 1.8.1+cu101 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not instal... | {
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https://api.github.com/repos/huggingface/transformers/issues/16939 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16939/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16939/comments | https://api.github.com/repos/huggingface/transformers/issues/16939/events | https://github.com/huggingface/transformers/issues/16939 | 1,215,435,001 | I_kwDOCUB6oc5IchD5 | 16,939 | Segmentation fault whenever trying to load model | {
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"Hey @faysalhossain2007,\r\n\r\nCould you please provide a short and reproducible code snippet? E.g. if only the model loading leads to a segmentation fault, \r\ncould you please just provide a 4-liner:\r\n\r\n```python\r\nfrom transformers import AutoModel\r\nmodel = AutoModel.from_pretrained(\"...\")\r\n```",
"... | 1,650 | 1,687 | 1,654 | NONE | null | ### System Info
```shell
`conda list
# packages in environment at /home/faysal/anaconda3/envs/codexglue:
#
# Name Version Build Channel
_libgcc_mutex 0.1 conda_forge conda-forge
_openmp_mutex 4.5 1_llvm conda... | {
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https://api.github.com/repos/huggingface/transformers/issues/16938 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16938/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16938/comments | https://api.github.com/repos/huggingface/transformers/issues/16938/events | https://github.com/huggingface/transformers/issues/16938 | 1,215,271,722 | I_kwDOCUB6oc5Ib5Mq | 16,938 | tokenizer return_special_tokens does not work correctly with custom special tokens | {
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"I also found that - even when you add these specialized tokens it does not tokenise correctly.",
"I got it working by using the `tokenizer.get_special_tokens_mask` and passing the `already_has_special_tokens=True`, instead of using the `__call__` function of the tokenizer. \r\nIn any case, the interface for `to... | 1,650 | 1,675 | 1,654 | CONTRIBUTOR | null | The tokenizer's returned `special_tokens_mask` does not take into account the newly added `special_tokens`.
### System Info
```shell
- `transformers` version: 4.18.0
- Platform: Linux-5.4.0-92-generic-x86_64-with-glibc2.31
- Python version: 3.9.12
- Huggingface_hub version: 0.5.1
- PyTorch version (GPU?): 1.... | {
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https://api.github.com/repos/huggingface/transformers/issues/16937 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16937/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16937/comments | https://api.github.com/repos/huggingface/transformers/issues/16937/events | https://github.com/huggingface/transformers/pull/16937 | 1,215,149,102 | PR_kwDOCUB6oc42wpRG | 16,937 | Fixed broken link on pipelines.mdx | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_16937). All of your documentation changes will be reflected on that endpoint.",
"Clicking on it in chrome links to the correct page. What is your browser/setup?",
"Hello @LysandreJik I'm using chrome version 101.0.4951.4... | 1,650 | 1,654 | 1,654 | NONE | null | # What does this PR do?
When clicking in task summary the link was redirecting to a 404 not found page.
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https://api.github.com/repos/huggingface/transformers/issues/16936 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16936/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16936/comments | https://api.github.com/repos/huggingface/transformers/issues/16936/events | https://github.com/huggingface/transformers/issues/16936 | 1,215,026,066 | I_kwDOCUB6oc5Ia9OS | 16,936 | Adding tokens to `RobertaTokenizer` is fast, but loading the extended tokenizer from disk takes tens of minutes | {
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"Hi, pretty sure this is because `add_tokens` and therefore the `trie` creation is done N times for all the N tokens, which is indeed excruciatingly slow (and completely uncessary).\r\n\r\nI think we can create the `trie` only once, wdyt @SaulLu ",
"Hi @Witiko,\r\n\r\nThanks for sharing this issue!\r\n\r\nI share... | 1,650 | 1,654 | 1,654 | CONTRIBUTOR | null | ### System Info
```shell
- `transformers` version: 4.18.0
- Platform: Linux-5.10.0-0.bpo.9-amd64-x86_64-with-debian-10.12
- Python version: 3.7.3
- Huggingface_hub version: 0.5.1
- PyTorch version (GPU?): 1.11.0+cu102 (False)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not... | {
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https://api.github.com/repos/huggingface/transformers/issues/16935 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16935/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16935/comments | https://api.github.com/repos/huggingface/transformers/issues/16935/events | https://github.com/huggingface/transformers/pull/16935 | 1,214,832,004 | PR_kwDOCUB6oc42vk0D | 16,935 | Limit the use of PreTrainedModel.device | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,650 | 1,650 | 1,650 | COLLABORATOR | null | # What does this PR do?
I'm currently working on solutions to do model parallelism, offload weights to the CPU or the hard drive, and I've encountered some bugs linked to the way we use the `PreTrainedModel.device`: it grabs the first parameter of the model to infer a device for the whole model. This doesn't work wh... | {
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https://api.github.com/repos/huggingface/transformers/issues/16934 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16934/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16934/comments | https://api.github.com/repos/huggingface/transformers/issues/16934/events | https://github.com/huggingface/transformers/pull/16934 | 1,214,798,725 | PR_kwDOCUB6oc42vdwA | 16,934 | Fix Iterations for decoder | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,650 | 1,650 | 1,650 | CONTRIBUTOR | null | The current script works fine if the number of decoder layers = the number of encoder layers.
However, it will not work if the number of layers is not equal, like in t5-efficient models.
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [... | {
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https://api.github.com/repos/huggingface/transformers/issues/16933 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16933/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16933/comments | https://api.github.com/repos/huggingface/transformers/issues/16933/events | https://github.com/huggingface/transformers/pull/16933 | 1,214,792,058 | PR_kwDOCUB6oc42vcVe | 16,933 | Fix RemBertTokenizerFast | {
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"I could provide the full code sample to reproduce the issue without this PR if necessary.",
"_The documentation is not available anymore as the PR was closed or merged._",
"Great to know the test is there (in common) 😄 "
] | 1,650 | 1,650 | 1,650 | COLLABORATOR | null | # What does this PR do?
`RemBertTokenizer(Fast)` are similar to `AlbertTokenizer(Fast)`, the slow versions are based on `SentencePiece`.
Unlike `AlbertTokenizerFast`, the fast tokenizer `RemBertTokenizerFast` doesn't have
```python
self.can_save_slow_tokenizer = False if not self.vocab_file else True
```
... | {
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https://api.github.com/repos/huggingface/transformers/issues/16932 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16932/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16932/comments | https://api.github.com/repos/huggingface/transformers/issues/16932/events | https://github.com/huggingface/transformers/pull/16932 | 1,214,737,880 | PR_kwDOCUB6oc42vQvU | 16,932 | CodeParrot data pretokenization | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,650 | 1,652 | 1,652 | CONTRIBUTOR | null | This PR adds code for data pretokenization of CodeParrot . In fact it takes long to tokenize the data especially for small models, so having a pretokenized dataset might improve the training speed. We also fix an error in the `README.md` and `scripts/initialize_model.py` inside the codeparrot repo.
cc @lvwerra | {
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https://api.github.com/repos/huggingface/transformers/issues/16931 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16931/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16931/comments | https://api.github.com/repos/huggingface/transformers/issues/16931/events | https://github.com/huggingface/transformers/issues/16931 | 1,214,700,023 | I_kwDOCUB6oc5IZtn3 | 16,931 | ZeroShotClassificationPipeline not using GPU | {
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"@Ierezell ,\r\n\r\npreprocessing will always happen on CPU so it's not entirely surprising. There's no way to make preprocessing happen on GPU (tokenization) afaik.\r\n\r\nHere you're using 3k sentences X 3k labels so we're looking at 9M individual `input_ids` sequences that have to be generated.\r\n\r\nCan you tr... | 1,650 | 1,650 | 1,650 | CONTRIBUTOR | null | ### System Info
```shell
- `transformers` version: 4.18.0
- Platform: Linux-5.13.0-37-generic-x86_64-with-glibc2.31
- Python version: 3.9.10
- Huggingface_hub version: 0.4.0
- PyTorch version (GPU?): 1.11.0+cu113 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not insta... | {
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https://api.github.com/repos/huggingface/transformers/issues/16930 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16930/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16930/comments | https://api.github.com/repos/huggingface/transformers/issues/16930/events | https://github.com/huggingface/transformers/issues/16930 | 1,214,565,211 | I_kwDOCUB6oc5IZMtb | 16,930 | [Generation] `length_penalty` means `beam_alpha` | {
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"See https://github.com/huggingface/transformers/issues/4915 https://github.com/huggingface/transformers/issues/4918#issuecomment-681985118 https://github.com/huggingface/transformers/issues/14768",
"cc @patrickvonplaten \r\nhttps://github.com/huggingface/transformers/blame/508baf194313c397345af868202404e285494... | 1,650 | 1,656 | 1,656 | NONE | null | https://github.com/huggingface/transformers/blob/508baf194313c397345af868202404e285494a28/src/transformers/generation_utils.py#L949-L952
https://github.com/huggingface/transformers/blob/508baf194313c397345af868202404e285494a28/src/transformers/generation_beam_search.py#L829
There are two issues about `length_penalt... | {
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https://api.github.com/repos/huggingface/transformers/issues/16929 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16929/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16929/comments | https://api.github.com/repos/huggingface/transformers/issues/16929/events | https://github.com/huggingface/transformers/pull/16929 | 1,214,457,990 | PR_kwDOCUB6oc42uUgo | 16,929 | Fix doc test quicktour dataset | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,650 | 1,650 | 1,650 | MEMBER | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/16928 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16928/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16928/comments | https://api.github.com/repos/huggingface/transformers/issues/16928/events | https://github.com/huggingface/transformers/issues/16928 | 1,214,457,055 | I_kwDOCUB6oc5IYyTf | 16,928 | A bug in modeling_ibert.py | {
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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... | 1,650 | 1,654 | 1,654 | NONE | null | ```
class IBertEmbeddings(nn.Module):
def __init__(self, config):
super().__init__()
self.quant_mode = config.quant_mode
self.embedding_bit = 8
self.embedding_act_bit = 16
self.act_bit = 8
self.ln_input_bit = 22
self.ln_output_bit = 32
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"Hi,\r\n\r\nThanks for your PR. If we go ahead with this, then it should also be fixed for all other feature extractors, like ViT, BEiT, DeiT, ... | 1,650 | 1,656 | 1,656 | NONE | null | Apparently, If an empty batch comes in, it is considered valid. However, then line 138 brakes since it tries to access element 0 of an empty batch.
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https://api.github.com/repos/huggingface/transformers/issues/16926 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16926/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16926/comments | https://api.github.com/repos/huggingface/transformers/issues/16926/events | https://github.com/huggingface/transformers/pull/16926 | 1,214,308,233 | PR_kwDOCUB6oc42t1FG | 16,926 | Pytorch QA examples fix & clean-up (code dedup) | {
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"Thanks for your PR! The first point is not something we want, as we would like the user to see all the code in one file for the data preparation/basic postprocessing. The functions put in the `utils` module are a bit different in the... | 1,650 | 1,650 | 1,650 | CONTRIBUTOR | null | Thank you for the great library! I had to clean up QA examples, because of the duplicate pre- and post-processing code. However, while doing so I have encountered a number of issues that I had to fix. Please, see details below.
# What does this PR do?
1. refactoring: consolidating duplicate post-processing functi... | {
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https://api.github.com/repos/huggingface/transformers/issues/16925 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16925/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16925/comments | https://api.github.com/repos/huggingface/transformers/issues/16925/events | https://github.com/huggingface/transformers/pull/16925 | 1,214,286,477 | PR_kwDOCUB6oc42twmb | 16,925 | Update build_pr_documentation.yml | {
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https://api.github.com/repos/huggingface/transformers/issues/16924 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16924/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16924/comments | https://api.github.com/repos/huggingface/transformers/issues/16924/events | https://github.com/huggingface/transformers/issues/16924 | 1,214,265,611 | I_kwDOCUB6oc5IYDkL | 16,924 | [BigScience176B] Model conversion from Megatron-LM to transformers | {
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"I will start by linking this thread to this PR. A possible next step and improvement could be to get some ideas of the equivalency tests that has been made by this PR bigscience-workshop/Megatron-DeepSpeed#121",
"Also I think the big picture is we want to generate ASAP. (perhaps even before checking exactitude o... | 1,650 | 1,653 | 1,653 | CONTRIBUTOR | null | ### Feature request
Creating here a thread for the model conversion of the BigScience-176B model from Megatron-LM to the transformers library. I will summarize here what I have done so far, the current status of the conversion procedure, as well as a summary of the 'discoveries' that I have made and the small detail... | {
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# What does this PR do?
1. refactoring: consolidating duplicate post-processing functi... | {
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https://api.github.com/repos/huggingface/transformers/issues/16922 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16922/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16922/comments | https://api.github.com/repos/huggingface/transformers/issues/16922/events | https://github.com/huggingface/transformers/pull/16922 | 1,214,236,083 | PR_kwDOCUB6oc42tmZ0 | 16,922 | Spanish translation of the file philosophy.mdx | {
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"Spanish translation of the file philosophy.mdx #15947",
"Thank you @jkmg! Could you please add `philosophy` to [`transformers/docs/source/es/_toctree.yml`](https://github.com/huggingface/transformers/blob/main/docs/source/es/_toctree.yml)? As a reference, you can use the [new Translation](https://github.com/hugg... | 1,650 | 1,652 | 1,652 | CONTRIBUTOR | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/16921 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16921/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16921/comments | https://api.github.com/repos/huggingface/transformers/issues/16921/events | https://github.com/huggingface/transformers/pull/16921 | 1,214,209,011 | PR_kwDOCUB6oc42tg5t | 16,921 | QA examples fixing & clean-up: | {
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# What does this PR do?
1. refactoring: consolidating duplicate post-processing functi... | {
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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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Testing https://github.com/huggingface/doc-builder/pull/197 | {
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This PR improves/fixes Pytorch QA examples in several ways:
1. extracted duplicating post-processing functions (now shared between regular and no-trainer version)
2. fixed squad v2-eval error in utils_qa.py (one was newly encountered and one that was previously reported.
3. added forgotte... | {
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This PR improves/fixes Pytorch QA examples in several ways:
1. extracted duplicating post-processing functions (now shared between regular and no-trainer version)
2. added/fixed code to save statistics to some no-trainer versions (one was even buggy)
3. fixed squad v2-eval error in utils_q... | {
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https://api.github.com/repos/huggingface/transformers/issues/16916 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16916/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16916/comments | https://api.github.com/repos/huggingface/transformers/issues/16916/events | https://github.com/huggingface/transformers/pull/16916 | 1,213,926,795 | PR_kwDOCUB6oc42sm35 | 16,916 | refactoring & fixing Pytorch QA examples | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,650 | 1,650 | 1,650 | CONTRIBUTOR | null | # What does this PR do?
This PR improves/fixes Pytorch QA examples in several ways:
1. extracted duplicating post-processing functions (now shared between regular and no-trainer version)
2. added/fixed code to save statistics to some no-trainer versions (one was even buggy)
3. fixed squad v2-eval error in utils_q... | {
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https://api.github.com/repos/huggingface/transformers/issues/16915 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16915/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16915/comments | https://api.github.com/repos/huggingface/transformers/issues/16915/events | https://github.com/huggingface/transformers/pull/16915 | 1,213,919,368 | PR_kwDOCUB6oc42slPZ | 16,915 | Option to return output object from Trainer.evaluate | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Why not use the `predict` method in this case?",
"Thanks @sgugger. I didn't know predict can return metrics too."
] | 1,650 | 1,651 | 1,651 | NONE | null | Added an option to return output object from Trainer.evaluate along with metrics. This can help in analyses which use predicted results of evaluation dataset. | {
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https://api.github.com/repos/huggingface/transformers/issues/16914 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16914/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16914/comments | https://api.github.com/repos/huggingface/transformers/issues/16914/events | https://github.com/huggingface/transformers/issues/16914 | 1,213,858,275 | I_kwDOCUB6oc5IWgHj | 16,914 | LayoutLMv3: Pre-training for Document AI with Unified Text and Image Masking | {
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"cc @NielsRogge :)"
] | 1,650 | 1,653 | 1,653 | NONE | null | ### Model description
LayoutLMV3 is the successor of the LayoutLM models. the models are specialized in multimodal document analysis tasks and achieve SOTA results on them.
The current [code](https://github.com/microsoft/unilm/blob/master/layoutlmv3/layoutlmft/models/layoutlmv3/modeling_layoutlmv3.py) for the Layou... | {
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https://api.github.com/repos/huggingface/transformers/issues/16913 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16913/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16913/comments | https://api.github.com/repos/huggingface/transformers/issues/16913/events | https://github.com/huggingface/transformers/pull/16913 | 1,213,773,314 | PR_kwDOCUB6oc42sGiK | 16,913 | Missing `f` prefix on f-strings fix | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,650 | 1,650 | 1,650 | CONTRIBUTOR | null | Fixes #16911 | {
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https://api.github.com/repos/huggingface/transformers/issues/16912 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16912/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16912/comments | https://api.github.com/repos/huggingface/transformers/issues/16912/events | https://github.com/huggingface/transformers/pull/16912 | 1,213,709,848 | PR_kwDOCUB6oc42r6LE | 16,912 | TF: XLA logits processors - minimum length, forced eos, and forced bos | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,650 | 1,650 | 1,650 | MEMBER | null | # What does this PR do?
(Review after https://github.com/huggingface/transformers/pull/16899)
A few more XLA-compatible logits processors -- minimum length, forced eos, and forced bos. Only the first one needed changes, mostly to avoid needless retracing (it actually compiled without changes but would trigger a r... | {
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https://api.github.com/repos/huggingface/transformers/issues/16911 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16911/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16911/comments | https://api.github.com/repos/huggingface/transformers/issues/16911/events | https://github.com/huggingface/transformers/issues/16911 | 1,213,466,411 | I_kwDOCUB6oc5IVAcr | 16,911 | Missing `f` prefix on f-strings | {
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https://github.com/huggingface/transformers/blob/d91841315aab55cf1347f4eb59332858525fad0f/src/transformers/utils/hub.py#L751
https://github.com/huggingface/transformers/blob/d91841315aab55c... | {
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https://api.github.com/repos/huggingface/transformers/issues/16910 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16910/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16910/comments | https://api.github.com/repos/huggingface/transformers/issues/16910/events | https://github.com/huggingface/transformers/issues/16910 | 1,213,442,109 | I_kwDOCUB6oc5IU6g9 | 16,910 | push_to_hub on custom tokenizer causing a flood of "deadlock" messages | {
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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... | 1,650 | 1,654 | 1,654 | CONTRIBUTOR | null | ### System Info
```shell
- `transformers` version: 4.18.0
- Platform: Linux-4.15.0-176-generic-x86_64-with-glibc2.31
- Python version: 3.9.10
- Huggingface_hub version: 0.5.1
- PyTorch version (GPU?): 1.11.0 (False)
- Tensorflow version (GPU?): 2.8.0 (False)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
-... | {
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https://api.github.com/repos/huggingface/transformers/issues/16909 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16909/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16909/comments | https://api.github.com/repos/huggingface/transformers/issues/16909/events | https://github.com/huggingface/transformers/issues/16909 | 1,213,405,039 | I_kwDOCUB6oc5IUxdv | 16,909 | Mask Token Spacing in RobertaTokenizer | {
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"Hello @mpoemsl ,\r\n\r\nSorry for the late reply. I don't think it's really a bug but I'd be interested to know why you used the decoding feature with Roberta (and Bert). :smile: ",
"Hi @SaulLu, thanks for your reply! \r\n\r\nI have been working on a model that uses representations derived from Transformer langu... | 1,650 | 1,656 | 1,656 | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.18.0
- Platform: Linux-5.16.13-200.fc35.x86_64-x86_64-with-glibc2.34
- Python version: 3.10.2
- Huggingface_hub version: 0.5.1
- PyTorch version (GPU?): not installed (NA)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installe... | {
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https://api.github.com/repos/huggingface/transformers/issues/16908 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16908/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16908/comments | https://api.github.com/repos/huggingface/transformers/issues/16908/events | https://github.com/huggingface/transformers/issues/16908 | 1,213,333,845 | I_kwDOCUB6oc5IUgFV | 16,908 | Name of LayerNorm parameter in RobertaLMHead. | {
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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... | 1,650 | 1,654 | 1,654 | NONE | null | As you know, current training codes using `weight decay`, usually detect target parameters based on their names.
e.g.)
```javascript
no_decay = ["bias", "LayerNorm.weight"]
optimizer_grouped_parameters = [
{"params": [p for n, p in model.named_parameters() if not any(nd in n for nd in no_decay)],
"weig... | {
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https://api.github.com/repos/huggingface/transformers/issues/16907 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16907/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16907/comments | https://api.github.com/repos/huggingface/transformers/issues/16907/events | https://github.com/huggingface/transformers/pull/16907 | 1,213,328,832 | PR_kwDOCUB6oc42q5nY | 16,907 | [WIP] Enable reproducibility for distributed trainings | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"> Thanks for working on this, that's an important feature! So as to not introduce a breaking change, and for clarity of the API, I'd personally vouch for not adding the `enable_determinism` flag to the `set_seed` method.\r\n> \r\n> F... | 1,650 | 1,653 | 1,652 | CONTRIBUTOR | null | # What does this PR do?
This PR ensures reproducibility for distributed trainings by setting seed for worker in dataloader and setting environment variables for cuda.
This PR is motivated by [this issue](https://github.com/huggingface/transformers/issues/16549#).
## Who can review?
@saattrupdan @sgugger I am l... | {
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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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https://api.github.com/repos/huggingface/transformers/issues/16905 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16905/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16905/comments | https://api.github.com/repos/huggingface/transformers/issues/16905/events | https://github.com/huggingface/transformers/issues/16905 | 1,213,269,668 | I_kwDOCUB6oc5IUQak | 16,905 | Missing whitespaces at RuntimeError message | {
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https://github.com/huggingface/transformers/blob/31ec2cb2badfbdd4c1ac9c6c9b8a74e974984206/src/transformers/pipelines/__init__.py#L494-L499
so the error message is a little hard to read.
```python
>>> from transformers import pipeline
>>> pipeline(task=None, model=None)
Trac... | {
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https://api.github.com/repos/huggingface/transformers/issues/16904 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16904/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16904/comments | https://api.github.com/repos/huggingface/transformers/issues/16904/events | https://github.com/huggingface/transformers/issues/16904 | 1,213,266,807 | I_kwDOCUB6oc5IUPt3 | 16,904 | Source link of transformers.pipeline is broken | {
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"cc @sgugger @mishig25 ",
"`doc-builder` doesn't like objects defined in `__init__`, will send a fix.",
"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 f... | 1,650 | 1,654 | 1,654 | CONTRIBUTOR | null | This is about **documentation link error**.
There is a issue on the page https://huggingface.co/docs/transformers/main_classes/pipelines#transformers.pipeline
<img width="550" alt="image" src="https://user-images.githubusercontent.com/21273221/164890499-54a79a1a-12c7-4776-bcf7-c39bf6f3efc1.png">
**Procedure**
... | {
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https://api.github.com/repos/huggingface/transformers/issues/16903 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16903/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16903/comments | https://api.github.com/repos/huggingface/transformers/issues/16903/events | https://github.com/huggingface/transformers/issues/16903 | 1,213,259,353 | I_kwDOCUB6oc5IUN5Z | 16,903 | T5base memory usage for interface | {
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"@Oxi84,\r\n\r\nCould you please provide us with a codesnippet that shows the error?",
"@patrickvonplaten \r\n\r\nHere is it - it takes 1300 mb of GPU memory and the model size is just 850 mb. I tried all combinations, and 1300 mb is minimum. For example T5 large takes around 2000 MB, and ithe model size is 2.7 G... | 1,650 | 1,654 | 1,654 | NONE | null | ### System Info
```shell
Ubuntu 18.04 RTX 2080
```
### 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 dataset ... | {
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https://api.github.com/repos/huggingface/transformers/issues/16902 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16902/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16902/comments | https://api.github.com/repos/huggingface/transformers/issues/16902/events | https://github.com/huggingface/transformers/pull/16902 | 1,213,201,654 | PR_kwDOCUB6oc42qk8f | 16,902 | migrate azure blob for beit checkpoints | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,650 | 1,652 | 1,652 | CONTRIBUTOR | null | ## Motivation
We are going to use a new blob account to store the checkpoints.
## Modification
Modify the azure blob storage URLs for BEiT checkpoints.
# What does this PR do?
<!--
Congratulations! You've made it this far! You're not quite done yet though.
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https://api.github.com/repos/huggingface/transformers/issues/16901 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16901/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16901/comments | https://api.github.com/repos/huggingface/transformers/issues/16901/events | https://github.com/huggingface/transformers/pull/16901 | 1,213,071,759 | PR_kwDOCUB6oc42qNex | 16,901 | [WIP] Avoid BERT `attention_mask` from promoting dtype in self-attention `forward()` | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,650 | 1,650 | 1,650 | NONE | null | ### Overview
~The `attention_mask` passed into `BertSelfAttention.forward()` is taken from the BERT model's first parameter dtype at **construction time**.~
<details>
<summary>Code Pointers</summary>
https://github.com/huggingface/transformers/blob/22fc93c4d9608fa9cd171b4f3044f8c756f86773/src/transformers/m... | {
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https://api.github.com/repos/huggingface/transformers/issues/16900 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16900/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16900/comments | https://api.github.com/repos/huggingface/transformers/issues/16900/events | https://github.com/huggingface/transformers/pull/16900 | 1,212,762,040 | PR_kwDOCUB6oc42pTS8 | 16,900 | Add missing ckpt in config docs | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"> Thanks for fixing all of those! It would be awesome to have some kind of quality script to check we don't introduce new faulty checkpoints.\r\n\r\nYes, I do have some (draft) check locally. I plan to add it in another PR (unless it... | 1,650 | 1,650 | 1,650 | COLLABORATOR | null | # What does this PR do?
As discussed on Slack, I worked on the `Config` files to add missing information about checkpoints, or correct them.
- I tried to check the mentioned checkpoints are actually on the Hub
- also tried to make sure the checkpoints are for the target architecture
- I didn't verify the statem... | {
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https://api.github.com/repos/huggingface/transformers/issues/16899 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16899/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16899/comments | https://api.github.com/repos/huggingface/transformers/issues/16899/events | https://github.com/huggingface/transformers/pull/16899 | 1,212,659,459 | PR_kwDOCUB6oc42o9Z3 | 16,899 | TF: XLA Logits Warpers | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@patrickvonplaten Sorry, I know you've already reviewed this, but I'm going to re-request your review. I realized the tests were much easier to understand (and with fewer lines) if they were parametrized, instead of having two tests ... | 1,650 | 1,657 | 1,650 | MEMBER | null | # What does this PR do?
This PR enables XLA on the logits warpers... which actually needed no changes. In essence, it adds XLA tests to ensure we don't regress. | {
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https://api.github.com/repos/huggingface/transformers/issues/16898 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16898/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16898/comments | https://api.github.com/repos/huggingface/transformers/issues/16898/events | https://github.com/huggingface/transformers/issues/16898 | 1,212,658,220 | I_kwDOCUB6oc5IR7Is | 16,898 | ValueError: cannot find context for 'fork' when processor_with_lm.batch_decode(_logits) | {
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"Related https://github.com/woven-planet/l5kit/issues/129",
"Hey @elsheikh21,\r\n\r\nLet's try to narrow the bug further down :-) \r\n\r\nDoes the following work for you: \r\n\r\n```python\r\nfrom multiprocessing import get_context\r\npool = get_context(\"fork\").Pool(num_processes)\r\npool.close()\r\n```\r\n\r\n... | 1,650 | 1,658 | 1,658 | NONE | null | ### System Info
```shell
## Environment info
- `transformers` version: 4.17.0
- Platform: Windows-10-10.0.22000-SP0
- Python version: 3.8.13
- PyTorch version (GPU?): 1.9.1 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not installed
... | {
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https://api.github.com/repos/huggingface/transformers/issues/16897 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16897/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16897/comments | https://api.github.com/repos/huggingface/transformers/issues/16897/events | https://github.com/huggingface/transformers/pull/16897 | 1,212,657,899 | PR_kwDOCUB6oc42o9EW | 16,897 | Fix typos BigBird ONNX conversion | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,650 | 1,650 | 1,650 | CONTRIBUTOR | null | # What does this PR do?
I tried to convert one `BigBird` model to ONNX with the recent PR merged #16427
But it seems that there is a typo in the `src/transformers/onnx/features.py` file.
I also fixed the typo in the test_v2 file.
Here is the error I get while trying to convert `google/bigbird-roberta-base`.
... | {
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https://api.github.com/repos/huggingface/transformers/issues/16896 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16896/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16896/comments | https://api.github.com/repos/huggingface/transformers/issues/16896/events | https://github.com/huggingface/transformers/pull/16896 | 1,212,574,829 | PR_kwDOCUB6oc42osXC | 16,896 | MobileBERT tokenizer tests | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Obviously - thanks!",
"Hi, @leondz \r\n\r\nThe main branch has recently merged a PR that changes test folders, like \r\n```\r\ntests/mobilebert -> tests/models/mobilebert\r\n```\r\nCould you follow the ideas shown in the instructio... | 1,650 | 1,652 | 1,652 | CONTRIBUTOR | null | # What does this PR do?
This PR implements tests for MobileBERT. As MobileBERT uses a copy of the BERT Tokenizer, the test inherits from BertTokenizationTest, and also checks the merge & vocab files for these two models are identical.
Contributes fixes to issue #16627
## Before submitting
- [ ] This PR fixe... | {
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https://api.github.com/repos/huggingface/transformers/issues/16895 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16895/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16895/comments | https://api.github.com/repos/huggingface/transformers/issues/16895/events | https://github.com/huggingface/transformers/issues/16895 | 1,212,572,854 | I_kwDOCUB6oc5IRmS2 | 16,895 | Datasets: Cannot cast array data from dtype('O') to dtype('int64') according to the rule 'safe' | {
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"Hi @loretoparisi 👋 this seems to be a `datasets` issue, I'd suggest opening an issue there 👉 https://github.com/huggingface/datasets",
"Thank you opened!\n\nhttps://github.com/huggingface/datasets/issues/4210"
] | 1,650 | 1,650 | 1,650 | CONTRIBUTOR | null | ### System Info
```shell
- `transformers` version: 4.18.0
- Platform: Linux-5.4.144+-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.7.13
- Huggingface_hub version: 0.5.1
- PyTorch version (GPU?): 1.10.0+cu111 (True)
- Tensorflow version (GPU?): 2.8.0 (True)
- Flax version (CPU?/GPU?/TPU?): not installed ... | {
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https://api.github.com/repos/huggingface/transformers/issues/16894 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16894/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16894/comments | https://api.github.com/repos/huggingface/transformers/issues/16894/events | https://github.com/huggingface/transformers/pull/16894 | 1,212,469,956 | PR_kwDOCUB6oc42oV6E | 16,894 | Remove device parameter from create_extended_attention_mask_for_decoder | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"This seems legit for me, pinging @LysandreJik, @sgugger and @ydshieh to comment on this.\r\n",
"LGTM, as it uses the device from the argument `attention_mask`.\r\n\r\nhttps://github.com/huggingface/transformers/blob/5d59df5e880cba3... | 1,650 | 1,651 | 1,651 | CONTRIBUTOR | null | # What does this PR do?
This RP removes redundant `device` parameter from `create_extended_attention_mask_for_decoder` that may cause potential issues if passed `device` is not equal `attention_mask.device`, see line [`modeling_utils.py#L610`](https://github.com/huggingface/transformers/blob/6d90d76f5db344e333ec184c... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"(just a comment)\r\n\r\nWould it be possible to provide the code sample for the issue that occurs without this PR, or a link to the issue page?",
"Looks good to me once all the tests pass.\r\nPinging @sgugger for review!",
"> Wou... | 1,650 | 1,651 | 1,651 | CONTRIBUTOR | null | # What does this PR do?'
`create_extended_attention_mask_for_decoder` doesn't access `self` and can be `@staticmethod`. This resolves some issues with fx tracing for pytorch pipeline parallelism project.
cc @michaelbenayoun
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"_The documentation is not available anymore as the PR was closed or merged._",
"This looks good to me! Do you think it would be better to change `stable_softmax` to only add the offset if we're running on CPU? It makes very little difference either way, but we could hide the complexity of that inside `stable_sof... | 1,650 | 1,650 | 1,650 | MEMBER | null | # What does this PR do?
As discussed in the thread about XLA problems (https://github.com/huggingface/transformers/issues/16838), this PR adds a stable wrapper for the softmax operation, and replaces `tf.nn.softmax` by the wrapped function.
This PR:
- Adds the wrapped softmax, named `stable_softmax`, in `tf_util... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,650 | 1,650 | 1,650 | CONTRIBUTOR | null | Fix `convert_file_size_to_int`'s docstring example and the GB str to int conversion (per [this comment](https://github.com/huggingface/datasets/pull/4190#discussion_r856022534) by @lhoestq). | {
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https://api.github.com/repos/huggingface/transformers/issues/16890 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16890/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16890/comments | https://api.github.com/repos/huggingface/transformers/issues/16890/events | https://github.com/huggingface/transformers/issues/16890 | 1,212,362,452 | I_kwDOCUB6oc5IQy7U | 16,890 | LED Model returns AlgorithmError when using SageMaker SMP training | {
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"cc @philschmid ",
"I would also suggest @kanwari3 to\r\n- try to use the same Python/PyTorch/transformers versions (and other libraries) on SageMaker that work locally (if possible)\r\n- if the above doesn't work, try to use on local machine the same versions as those used on SageMaker, and see if you still get ... | 1,650 | 1,656 | 1,653 | NONE | null | ### System Info
```shell
using sagemaker
mpi_options = {
"enabled" : True,
"processes_per_host" : 8
}
smp_options = {
"enabled":True,
"parameters": {
"microbatches": 1,
"placement_strategy": "spread",
"pipeline": "interleaved",
"optimize": "memory",
... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,650 | 1,650 | 1,650 | MEMBER | null | # What does this PR do?
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"Please use the [forums](https://discuss.huggingface.co/) to debug your code. In this instance, you are not providing the model with the `next_sentence_label` it needs to compute the loss."
] | 1,650 | 1,650 | 1,650 | NONE | null | ### System Info
```shell
- `transformers` version: 4.19.0.dev0
- Platform: Linux-5.13.0-40-generic-x86_64-with-glibc2.29
- Python version: 3.8.10
- Huggingface_hub version: 0.5.1
- PyTorch version (GPU?): 1.11.0+cu102 (False)
- Tensorflow version (GPU?): 2.7.0 (False)
- Flax version (CPU?/GPU?/TPU?): not inst... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"> # What does this PR do?\r\n> Added DeiT OnnxConfig to make this model available for conversion\r\n> \r\n> @ChainYo\r\n\r\n> ## Who can review?\r\n> Anyone in the community is free to review the PR once the tests have passed. Feel f... | 1,650 | 1,650 | 1,650 | CONTRIBUTOR | null | # What does this PR do?
Added DeiT OnnxConfig to make this model available for conversion
@ChainYo
https://github.com/huggingface/transformers/issues/16308
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https://api.github.com/repos/huggingface/transformers/issues/16886 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16886/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16886/comments | https://api.github.com/repos/huggingface/transformers/issues/16886/events | https://github.com/huggingface/transformers/pull/16886 | 1,211,677,766 | PR_kwDOCUB6oc42l2vF | 16,886 | Allow saved_model export of TFCLIPModel in save_pretrained | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Tagging @ydshieh -- this PR adds several tests",
"@gante No problem, glad to help now and if you have plans to improve graph/saved_model serialization in the future I will be glad to help then as well :D",
"@seanmor5 Thank you f... | 1,650 | 1,651 | 1,651 | CONTRIBUTOR | null | # What does this PR do?
I apologize if this is out of scope. There were a few bugs in TFCLIPModel which prevented the model from being exported using the TensorFlow SavedModel format:
1) `_build_causal_attention_mask` makes use of `tf.constant` with a runtime dynamic value. It seems `shape_list` makes use of `tf.... | {
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"Hi @nyoungstudios , I don't get the goal of this feature because when you convert a model to onnx you want to set the `batch_size` to dynamic and the `sequence_length` needs to fit the model config. This way people can use the model with any `batch_size` and the right model `sequence_length`. \r\n\r\nThe `batch_si... | 1,650 | 1,653 | 1,653 | NONE | null | ### Feature request
Add the ability to set the batch size and sequence length when converting a model to Onnx rather than it always defaulting to a batch size of 2 and sequence length of 8. Here is the example code that I have by importing `OnnxConfig` and setting it's `default_fixed_batch` and `default_fixed_sequence... | {
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"Both of your commits (https://huggingface.co/bigscience/T0/commit/858cd92e88c9548d194f61259af965d1d1e916b7 and https://huggingface.co/t5-11b/commit/82929bfe90cbfc4e9a3dedf38bb967650ddb6ac2) looks good to me, @stas00.\r\n\r\nOne thing I realize just now is that the `pytorch_model.bin.index.json` index files are LFS... | 1,650 | 1,685 | 1,653 | CONTRIBUTOR | null | this is an Issue to track which pre-existing huge models (>11GB) need sharding, which have been completed and the code to do that.
### Why shard huge checkpoints?
Because it takes much less CPU memory to load a huge model of say 42GB, especially if you're loading concurrently in multiple processes.
Here is the... | {
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"Thanks a lot for your contribution!\r\n\r\n@NielsRogge, could you do a first pass on this model?",
"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 ... | 1,650 | 1,653 | 1,653 | NONE | null | # What does this PR do?
This PR integrates the new R3M visual encoder model into transformers. See this [issue](https://github.com/huggingface/transformers/issues/16403).
In its current state, the new model/config can be loaded, trained, and pre-trained models located [here](https://huggingface.co/surajnair) can ... | {
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"Thank you @jloayza10! Could you please add `fast_tokenizers` to [`transformers/docs/source/es/_toctree.yml`](https://github.com/huggingface/transformers/blob/main/docs/source/es/_toctree.yml)? As a reference, you can use the [new Translation](https://github.com/huggingface/transformers/blob/main/docs/TRANSLATING.m... | 1,650 | 1,652 | 1,652 | CONTRIBUTOR | null | # What does this PR do?
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"_The documentation is not available anymore as the PR was closed or merged._",
"Also cc @patil-suraj and @stas00 to see if they have suggestions",
"Good for me!",
"> What cache is this emptying since the model is not deleted? I think this is a symptom there is a memory leak in the model, which would need to ... | 1,650 | 1,650 | 1,650 | COLLABORATOR | null | # What does this PR do?
Fix PyTorch RAG tests GPU OOM.
The GPU OOM
```
E tensorflow.python.framework.errors_impl.ResourceExhaustedError: OOM when allocating tensor with shape[32,5,16,300,64] and type float on /job:localhost/replica:0/task:0/device:GPU:0 by allocator GPU_0_bfc [Op:GatherV2]
```
could be f... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,650 | 1,650 | 1,650 | CONTRIBUTOR | null | # What does this PR do?
- Changes in create_optimizer to support tensor parallelism with SMP. For SMP optimizer is created from wrapped model(SMP model).
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thinking about it more, a multiplicative logit penalty really doesn't work, right? Even if we use the reciprocal when the logit is negative, the scale of the penalty depends on the logit's distance from 0. For example, a logit in the... | 1,650 | 1,650 | 1,650 | MEMBER | null | # What does this PR do?
This PR adds our first XLA-compatible TF logit processor, as well as corresponding tests. Since this is the first of a series of small (but similar) PRs, I'd like to request a more thorough review, so the remaining ones are quick.
More specifically, this PR makes three changes:
1. Rewrite... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,650 | 1,650 | 1,650 | COLLABORATOR | null | # What does this PR do?
We have `docs/source/en/model_doc/t5v1_1.mdx` in `documentation_tests.txt`, but the file is actually `docs/source/en/model_doc/t5v1.1.mdx`.
This cause doctest fail.
```
ERROR: file or directory not found: docs/source/en/model_doc/t5v1_1.mdx
```
(https://github.com/huggingface/transfo... | {
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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... | 1,650 | 1,653 | 1,653 | NONE | null | ### System Info
```shell
- `transformers` version: 3.4.0
- Platform: Linux-4.15.0-144-generic-x86_64-with-debian-buster-sid
- Python version: 3.7.7
- PyTorch version (GPU?): 1.6.0 (False)
- Tensorflow version (GPU?): not installed (NA)
- Using GPU in script?: <fill in>
- Using distributed or parallel set-up in s... | {
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https://api.github.com/repos/huggingface/transformers/issues/16876 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16876/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16876/comments | https://api.github.com/repos/huggingface/transformers/issues/16876/events | https://github.com/huggingface/transformers/pull/16876 | 1,211,099,165 | PR_kwDOCUB6oc42j9zO | 16,876 | Replace deprecated logger.warn with warning | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,650 | 1,650 | 1,650 | CONTRIBUTOR | null | From [Python docs](https://docs.python.org/3/library/logging.html#logging.Logger.warning):
_There is an obsolete method `warn` which is functionally identical to `warning`. As `warn` is deprecated, please do not use it - use `warning` instead._
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"Tokenizer and corresponding test should be done. Lacking some detailed description and also probably something about the arguments in the init that are not data but I don't remember if I should create setters (@patrickvonplaten would love to have your review)",
"Cool nice to see much progress here! \r\n\r\nFeel ... | 1,650 | 1,655 | 1,655 | COLLABORATOR | null | This is a draft pull request.
# What does this PR do?
This PR will progressively add the [Jukebox](https://openai.com/blog/jukebox/) model to the hub.
It is linked to [#16870](https://github.com/huggingface/transformers/issues/16870).
# Currently planned steps (WIP)
- [x] Create template files with `trans... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,650 | 1,650 | 1,650 | CONTRIBUTOR | null | - all activations should be fetched through ACT2FN
- it returns ReLU as `nn.Module`, which allows attaching hooks on the activation function and prints it to stdout when `print(model)` | {
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"Hey! You're getting this error because your model is on GPU while your inputs are not. Could you try casting your inputs to GPU?\r\n\r\n```py\r\ninputs = {k:v.to('cuda') for k,v in inputs.items()}\r\n```",
"Thanks, I was assuming ViltProcessor will do it for me. Closing"
] | 1,650 | 1,650 | 1,650 | NONE | null |
@NielsRogge - Tried in the stock Colab notebook with the latest version of Transformers. Probably the ```to(device)``` is not handled uniformly for Text Embeddings or Image Embeddings?
What I am trying to do: I need to extract the raw hidden_state or pooler_ouput for large batches of image + text pairs. Use it as... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,650 | 1,650 | 1,650 | COLLABORATOR | null | # What does this PR do?
This goes along with the deprecation of `pixel_values` to the profit of `input_ids` in the `ImageGPT` models. | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@sgugger For `ImageGPT`, we don't want to perform padding (otherwise, it fails with `None` as padding value).\r\n\r\nAs you mentioned, `ImageGPTFeatureExactor` outputs `pixel_values` (despite it is not a very good name). So @Narsil ... | 1,650 | 1,653 | 1,653 | CONTRIBUTOR | null | # What does this PR do?
Attempts to superseed https://github.com/huggingface/transformers/pull/16869
With less specific overrides Thanks @ydshieh, you definitely couldn't guess about the options I modified here :)
<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, y... | {
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