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https://api.github.com/repos/huggingface/transformers/issues/17371 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17371/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17371/comments | https://api.github.com/repos/huggingface/transformers/issues/17371/events | https://github.com/huggingface/transformers/issues/17371 | 1,243,448,735 | I_kwDOCUB6oc5KHYWf | 17,371 | tokenizer object incorrectly modified in PreTrainedTokenizerFast.train_new_from_iterator() | {
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"Maybe also cc @Narsil "
] | 1,653 | 1,654 | 1,654 | CONTRIBUTOR | null | ### System Info
```shell
- `transformers` version: 4.19.2
- Platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.29
- Python version: 3.8.10
- Huggingface_hub version: 0.6.0
- PyTorch version (GPU?): 1.11.0+cu102 (False)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?... | {
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"To describe what happens here:\r\n\r\nIf `_fast_init=True` (which is set by default) the following happens. All weight names of the `state_dict` loaded from `bert-base-uncased` are compared with all weight names of a random `state_dict` that is generated when calling `MyCustomModel()`. \r\nInside `from_pretrained(... | 1,653 | 1,656 | 1,656 | MEMBER | null | ### System Info
```shell
Transformers > 4.6.0
```
### 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 own task or dataset (give... | {
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https://api.github.com/repos/huggingface/transformers/issues/17369 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17369/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17369/comments | https://api.github.com/repos/huggingface/transformers/issues/17369/events | https://github.com/huggingface/transformers/pull/17369 | 1,243,204,031 | PR_kwDOCUB6oc44MZRb | 17,369 | Try to make push CI less noisy on commit pages. | {
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"@LysandreJik This is still in WIP (just need to add back the failure report in the caller), but I think you can review it already :).\r\n\r\nI follow [this guide](https://medium.com/prompt/trigger-another-github-workflow-without-using-a-personal-access-token-f594c21373ef) to add 2 keys in our `Settings`.",
"_The... | 1,653 | 1,655 | 1,654 | COLLABORATOR | null | # What does this PR do?
Try to make push CI less noisy on commit pages.
(Current commit page shows all push CI jobs (more than 256 now) status, which is noisy to check which tests failed.)
### Idea
1. push to `main` -> trigger a workflow, that push to another branch `push-ci`
2. push to `push-ci` -> trig... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Merging to fix the example test failures on main"
] | 1,653 | 1,653 | 1,653 | COLLABORATOR | null | # What does this PR do?
This PR addresses the recent failures in the examples by pinning dill to exclude the latest version. | {
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https://api.github.com/repos/huggingface/transformers/issues/17367 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17367/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17367/comments | https://api.github.com/repos/huggingface/transformers/issues/17367/events | https://github.com/huggingface/transformers/pull/17367 | 1,242,987,880 | PR_kwDOCUB6oc44LrSK | 17,367 | Fix cvt docstrings | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Will merge as soon as it's green!",
"@LysandreJik @NielsRogge You can merge it now. Thanks for review! 😊"
] | 1,653 | 1,653 | 1,653 | CONTRIBUTOR | null | # What does this PR do?
This PR does the following:
1. Remove the error in `README.md` where `CvT` description was copy of `CTRL`
2. Fix `size` of image for `feature extractor` which was set to `224`.
3. fix the input docstring for forward classes of `CvtModel` and `CvtForImageClassification` (head mask etc not n... | {
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https://api.github.com/repos/huggingface/transformers/issues/17366 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17366/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17366/comments | https://api.github.com/repos/huggingface/transformers/issues/17366/events | https://github.com/huggingface/transformers/pull/17366 | 1,242,964,463 | PR_kwDOCUB6oc44LmLT | 17,366 | Fix a typo `relative_postion_if_large` -> `relative_position_if_large` | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,653 | 1,653 | 1,653 | CONTRIBUTOR | null | # What does this PR do?
This PR fixes a minor typo in `T5` and `WavLM` model codes.
<!-- Remove if not applicable -->
Fixes # (issue)
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
## Who can review?
@patil-suraj | {
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"WDYT of such a feature @Narsil?",
"I like the idea.\r\n\r\nHow would that look like though code wise ?\r\n\r\n```python\r\n\r\npipe = pipeline('text-generation\")\r\n# Regular usage\r\n\r\ngenerated = pipe(\"This is my prompt\")\r\n\r\nfor out in pipe(\"This is my prompt\", continuous=True):\r\n # out = [{\"g... | 1,653 | 1,678 | 1,659 | NONE | null | ### Feature request
When using the text-generation pipeline. We would like to be able export each token as it is generated. Currently we have to wait for the generation to be completed to view the results.
### Motivation
Using text-generation in a production environment, this would greatly improve the user experien... | {
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"Savings 💰 can be a real issue, but it does not seem to be a `transformers` issue :)"
] | 1,653 | 1,653 | 1,653 | NONE | null | Savings | {
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https://api.github.com/repos/huggingface/transformers/issues/17363 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17363/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17363/comments | https://api.github.com/repos/huggingface/transformers/issues/17363/events | https://github.com/huggingface/transformers/issues/17363 | 1,242,638,261 | I_kwDOCUB6oc5KESe1 | 17,363 | TFGenerationMixin.generate should support a parameter such as logit_mask | {
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"Hey @TheHonestBob 👋 If your task is not TensorFlow-dependent, would the constraints-related arguments in the more complete pytorch version help? ([docs here](https://huggingface.co/docs/transformers/main/en/main_classes/text_generation#transformers.generation_utils.GenerationMixin))",
"> Hey @TheHonestBob 👋 If... | 1,653 | 1,656 | 1,656 | NONE | null | ### Feature request
when i use encoder-decoder model for relation extract task, I make sure the decoder output must in encoder input text. so a parameter such logit_mask should be necessary.
### Motivation
when I use prompt finetuning a encoder-decoder to extract spo, I make sure the decoder output must in encode... | {
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"To initialize a model without any pretrained weights, you can just load it with a configuration:\r\n\r\n```\r\nfrom transformers import ViltConfig, ViltForImageAndTextRetrieval\r\n\r\nconfig = ViltConfig()\r\nmodel = ViltForImageAndTextRetrieval(config)\r\n```\r\nAll weights will be randomly initialized.",
"Clos... | 1,653 | 1,654 | 1,654 | NONE | null | https://github.com/huggingface/transformers/blob/6e535425feae20ca61a8b10ae5e8a7fab4d394ba/src/transformers/models/vilt/modeling_vilt.py#L1175
Hello, I want to use vilt in other fields through from_ Can Pretrain only load models without loading model parameters. Because the coco dataset is very different from my domain... | {
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"I resolved this problem. Refer to Issue 850. https://github.com/huggingface/transformers/issues/850\r\n\r\nThanks "
] | 1,653 | 1,653 | 1,653 | NONE | null | ### System Info
```shell
I am currently working on some research in which I am to analyze the important heads, which is similar to the work done in the paper "Are Sixteen Heads Really Better than One?". Basically, what they did is to iteratively ablate each head of each layer one by one, and then observe the size of t... | {
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"Has anyone found a problem solution?",
"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... | 1,652 | 1,699 | 1,657 | NONE | null | I use the exact code from visual bert demo, but only got about 46% accuracy on VQA v2 validation data. Has anyone had the same issue? | {
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"Hey @Zhenzi-Weng, \r\n\r\nWhen I execute the code above, I'm getting an error. I'm assuming you want to execute the following:\r\n\r\n```python\r\nfrom transformers import MarianTokenizer, TFMarianMTModel\r\nfrom typing import List\r\n\r\nsrc = \"fr\" # source language\r\ntrg = \"en\" # target language\r\nsample... | 1,652 | 1,667 | 1,656 | NONE | null | Hello, I copied the TFMarianMTModel example code from [https://huggingface.co/docs/transformers/v4.19.2/en/model_doc/marian#transformers.TFMarianMTModel](url) and compiled in Tensorflow 2.4.1. But it turned out the output length of "model.generate(**batch)" is always 512.
```python
from transformers import MarianTo... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thank you for your contribution, @mygithubid1!"
] | 1,652 | 1,654 | 1,654 | CONTRIBUTOR | null | # What does this PR do?
Finalize changes as per this [PR](https://github.com/huggingface/transformers/pull/17277).
Sorry. I messed up changes during merge and hence this new PR.
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```shell
NOT NEEDED
```
### Who can help?
@patrickvonplaten
### Information
- [ ] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or dataset (give deta... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"What is holding on the merge here? It's been a month and a half so let's try to merge this soon :-)",
"I can't seem to be able to run the tests again? (It's not failing on my code.)",
"You will probably need to rebase on main to ... | 1,652 | 1,656 | 1,656 | CONTRIBUTOR | null | # What does this PR do?
Add the MobileViT model to Transformers. This is a computer vision model that combines CNNs with transformers: https://machinelearning.apple.com/research/vision-transformer
The model comes in three sizes: small, extra small, and xx-small. There are two heads: image classification and seman... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Muito obrigado pelo seu PR @jonatasgrosman! If you wish to contribute with the translation of another doc please let me know in the Issue 🤗.\r\n\r\n@sgugger I find it ready to merge :)",
"Thanks a lot for your help!"
] | 1,652 | 1,653 | 1,653 | CONTRIBUTOR | null | # What does this PR do?
Adding the Portuguese version of the tasks/sequence_classification.mdx documentation
Work on #16824
## Before submitting
- [x] 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 [contributor guideline](https://github... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_17351). All of your documentation changes will be reflected on that endpoint.",
"No, this is incorrect. Some `IterableDataset` do have a length and we don't want this specific check here. You did not share your code in your... | 1,652 | 1,656 | 1,656 | NONE | null | The logic of if len_dataloader is not None should be to determine whether train_dataset is IterableDataset，But whether train_dataset is IterableDataset or not, len dataloader is 1，so, it should be change `if not isinstance(self.train_dataset, torch.utils.data.IterableDataset)`
# What does this PR do?
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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... | 1,652 | 1,668 | 1,656 | NONE | null | ### System Info
```shell
transformers v4.9.2
python v3.8
```
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [X] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [X] My own task or dataset (give detail... | {
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https://api.github.com/repos/huggingface/transformers/issues/17349 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17349/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17349/comments | https://api.github.com/repos/huggingface/transformers/issues/17349/events | https://github.com/huggingface/transformers/pull/17349 | 1,241,530,519 | PR_kwDOCUB6oc44G5iS | 17,349 | Spanish docs - Fix nits and wording | {
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"@sgugger links to current docs that don't exist (eg `./main_classes/pipelines`) don't work. Do you think it would be worth linking them to the English docs while the Spanish versions become available? Or should we wait?\r\n\r\nfyi @osanseviero ",
"_The documentation is not available anymore as the PR was closed ... | 1,652 | 1,654 | 1,654 | CONTRIBUTOR | null | # What does this PR do?
Fix wording and nits in the merged Spanish documentation.
## Before submitting
- [x] 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/17348 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17348/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17348/comments | https://api.github.com/repos/huggingface/transformers/issues/17348/events | https://github.com/huggingface/transformers/issues/17348 | 1,241,415,924 | I_kwDOCUB6oc5J_oD0 | 17,348 | ImportError: cannot import name 'AutoProcessor' from 'transformers' | {
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"I don't think `AutoProcessor` was already available in Transformers 4.11.\r\n\r\nSo you might need an upgrade to the latest version:\r\n\r\n```\r\npip install --upgrade transformers\r\n```",
"Yes you are right! Thanks for your help :) "
] | 1,652 | 1,652 | 1,652 | NONE | null | ### System Info
```shell
- `transformers` version: 4.11.3
- Platform: macOS-10.15.7-x86_64-i386-64bit
- Python version: 3.8.13
- PyTorch version (GPU?): 1.11.0 (False)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not installed
- JaxLib ver... | {
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https://api.github.com/repos/huggingface/transformers/issues/17346 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17346/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17346/comments | https://api.github.com/repos/huggingface/transformers/issues/17346/events | https://github.com/huggingface/transformers/issues/17346 | 1,240,912,736 | I_kwDOCUB6oc5J9tNg | 17,346 | failed doctests examples for data2vec_audio, 1 failed, 4 passed | {
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"I am closing this ticket as it is part of the doctest task, merged to https://github.com/huggingface/transformers/issues/17338"
] | 1,652 | 1,652 | 1,652 | CONTRIBUTOR | null | ### System Info
```shell
- `transformers` version: 4.20.0.dev0
- Platform: Linux-5.13.0-41-generic-x86_64-with-glibc2.29
- Python version: 3.8.0
- Huggingface_hub version: 0.6.0
- PyTorch version (GPU?): 1.11.0+cu102 (False)
- Tensorflow version (GPU?): 2.9.0 (False)
- Flax version (CPU?/GPU?/TPU?): 0.4.2 (cpu)
... | {
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https://api.github.com/repos/huggingface/transformers/issues/17345 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17345/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17345/comments | https://api.github.com/repos/huggingface/transformers/issues/17345/events | https://github.com/huggingface/transformers/issues/17345 | 1,240,904,786 | I_kwDOCUB6oc5J9rRS | 17,345 | failed doctests examples for data2vec_text, 5 failed, 2 passed | {
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"I am closing this ticket as it is part of the doctest task, merged to https://github.com/huggingface/transformers/issues/17338"
] | 1,652 | 1,652 | 1,652 | CONTRIBUTOR | null | ### System Info
```shell
- `transformers` version: 4.20.0.dev0
- Platform: Linux-5.13.0-41-generic-x86_64-with-glibc2.29
- Python version: 3.8.0
- Huggingface_hub version: 0.6.0
- PyTorch version (GPU?): 1.11.0+cu102 (False)
- Tensorflow version (GPU?): 2.9.0 (False)
- Flax version (CPU?/GPU?/TPU?): 0.4.2 (cpu)
... | {
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https://api.github.com/repos/huggingface/transformers/issues/17344 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17344/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17344/comments | https://api.github.com/repos/huggingface/transformers/issues/17344/events | https://github.com/huggingface/transformers/issues/17344 | 1,240,786,425 | I_kwDOCUB6oc5J9OX5 | 17,344 | Illegal instruction (core dumped) error: PowerPC8 | {
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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... | 1,652 | 1,656 | 1,656 | NONE | null | ### System Info
```shell
transformers 2.5.1
python3.8
pytorch 1.10.2
All packages installed with conda by way of the conda-forge or powerai repositories, all of them are ppc64-le compatible
```
### Who can help?
I am trying to load a BERT pre-trained model. All imports work fine... | {
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https://api.github.com/repos/huggingface/transformers/issues/17343 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17343/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17343/comments | https://api.github.com/repos/huggingface/transformers/issues/17343/events | https://github.com/huggingface/transformers/issues/17343 | 1,240,566,335 | I_kwDOCUB6oc5J8Yo_ | 17,343 | Generate.py doesn't support gpt-j | {
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"Hello! We recommend using pipelines now for generation.",
"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://git... | 1,652 | 1,656 | 1,656 | NONE | null | ### System Info
```shell
- `transformers` version: 4.20.0.dev0
- Platform: Linux-5.4.0-110-generic-x86_64-with-glibc2.31
- Python version: 3.9.7
- Huggingface_hub version: 0.6.0
- PyTorch version (GPU?): 1.11.0+cu102 (True)
- Tensorflow version (GPU?): 2.9.0 (False)
- Flax version (CPU?/GPU?/TPU?): 0.4.2 (cpu)
... | {
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https://api.github.com/repos/huggingface/transformers/issues/17342 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17342/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17342/comments | https://api.github.com/repos/huggingface/transformers/issues/17342/events | https://github.com/huggingface/transformers/issues/17342 | 1,240,541,684 | I_kwDOCUB6oc5J8Sn0 | 17,342 | Add support for MacOS Apple Metal "mps" backend | {
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"```\r\n>>> classifier = pipeline(\"sentiment-analysis\")\r\n>>> classifier.device = torch.device(\"mps\")\r\n>>> classifier.model.to(\"mps\")\r\n>>> classifier(\"We are very sad to mps backend is not supporter in Transformers.\")\r\n[{'label': 'NEGATIVE', 'score': 0.5000945329666138}]\r\n```\r\n\r\nUnfortunately, ... | 1,652 | 1,681 | 1,656 | NONE | null | ### System Info
```shell
MacOS, M1 architecture, Python 3.10, Pytorch 1.12 nightly, Transformers latest (4.19.2)
```
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` f... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Not necessarily linked to this PR, but in general the following code fails:\r\n\r\n```python\r\nfrom transformers import AutoTokenizer, AutoModelForSequenceClassification\r\n\r\nmodel = AutoModelForSequenceClassification.from_pretrai... | 1,652 | 1,653 | 1,653 | COLLABORATOR | null | # What does this PR do?
This PR is a first draft for using the newly released big model inference APIs from Accelerate inside `from_pretrained`. For now it does this with the option `low_cpu_mem_usage=True` and:
- instantiates the model inside the context manager to initialize empty weights (faster and less memory-... | {
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https://api.github.com/repos/huggingface/transformers/issues/17340 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17340/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17340/comments | https://api.github.com/repos/huggingface/transformers/issues/17340/events | https://github.com/huggingface/transformers/pull/17340 | 1,240,467,569 | PR_kwDOCUB6oc44DUFp | 17,340 | fix delete error when checkpoints exceed save_total_limit | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_17340). All of your documentation changes will be reflected on that endpoint."
] | 1,652 | 1,652 | 1,652 | NONE | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/17339 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17339/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17339/comments | https://api.github.com/repos/huggingface/transformers/issues/17339/events | https://github.com/huggingface/transformers/issues/17339 | 1,240,463,119 | I_kwDOCUB6oc5J7_cP | 17,339 | Google's Trillson Audio Classification | {
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"Those models are quite small <100MB, so they would be very interesting for mobile applications.\r\n\r\nHappy to help on the integration here :-) ",
"Hi @patrickvonplaten , I am interested in taking a look. Do you by chance have a good example on top of your head, maybe a pulling request for adding a model I can... | 1,652 | 1,655 | null | MEMBER | null | ### Model description
The TRILLsson models are described in the publication TRILLsson: Distilling Universal Paralingistic Speech Representations. From audio, they generate generally-useful paralinguistic speech representations (paralinguistics are aspects of speech other than text, such as emotion, language identifica... | {
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https://api.github.com/repos/huggingface/transformers/issues/17338 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17338/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17338/comments | https://api.github.com/repos/huggingface/transformers/issues/17338/events | https://github.com/huggingface/transformers/issues/17338 | 1,240,404,283 | I_kwDOCUB6oc5J7xE7 | 17,338 | add doctests for data2VecText | {
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"Hey @Ruihua-Fang,\r\n\r\nWould you like to give it a try? :-)",
"Hey @patrickvonplaten , yep, Thanks :)\r\n",
"Following the instruction in https://github.com/huggingface/transformers/issues/16292 as listed below:\r\nMake sure to run the doc example doc test locally as described in https://github.com/huggingfa... | 1,652 | 1,656 | 1,656 | CONTRIBUTOR | null | ### Feature request
Enable doctests for data2VecText model, as part of https://github.com/huggingface/transformers/issues/16292
### Motivation
please see https://github.com/huggingface/transformers/issues/16292
### Your contribution
implement this feature | {
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https://api.github.com/repos/huggingface/transformers/issues/17337 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17337/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17337/comments | https://api.github.com/repos/huggingface/transformers/issues/17337/events | https://github.com/huggingface/transformers/pull/17337 | 1,240,388,875 | PR_kwDOCUB6oc44DFQf | 17,337 | fix style | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,652 | 1,652 | 1,652 | COLLABORATOR | null | # What does this PR do?
Not sure why it is in main, but when I run `make style` it changes `generation_utils.py` | {
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https://api.github.com/repos/huggingface/transformers/issues/17336 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17336/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17336/comments | https://api.github.com/repos/huggingface/transformers/issues/17336/events | https://github.com/huggingface/transformers/issues/17336 | 1,240,382,013 | I_kwDOCUB6oc5J7ro9 | 17,336 | issue with loading pretrained model using DeepSpeed Zero Stage 3 | {
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"sounds like a potential problem with pt-nightly?\r\n\r\nIt works just fine on pt-1.11 - this is adapted to use the files from repo directly:\r\n\r\n```\r\ntorchrun --nproc_per_node=2 examples/pytorch/text-classification/run_glue.py \\\r\n--task_name mrpc --max_seq_len 128 --model_name_or_path bert-base-uncased \\\... | 1,652 | 1,664 | 1,664 | CONTRIBUTOR | null | ### System Info
```shell
- `transformers` version: 4.19.0.dev0
- Platform: Linux-5.4.0-90-generic-x86_64-with-glibc2.29
- Python version: 3.8.10
- Huggingface_hub version: 0.5.1
- PyTorch version (GPU?): 1.12.0.dev20220505+cu113 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/... | {
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https://api.github.com/repos/huggingface/transformers/issues/17335 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17335/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17335/comments | https://api.github.com/repos/huggingface/transformers/issues/17335/events | https://github.com/huggingface/transformers/pull/17335 | 1,240,366,996 | PR_kwDOCUB6oc44DAp- | 17,335 | Enable pytorch nightly CI | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@stas00, @LysandreJik \r\n\r\nI run the docker image `transformers-pytorch-deepspeed-latest-gpu` and found it's `PyTroch` has version `1.9.0`.\r\nThis image is based on `nvcr.io/nvidia/pytorch:21.03-py3`, which is used in the job `Te... | 1,652 | 1,655 | 1,655 | COLLABORATOR | null | # What does this PR do?
- Make necessary changes to build `huggingface/transformers-pytorch-nightly-gpu`
- Update `self-nightly-scheduled.yml` to run PyTorch nightly build CI (almost a copy from scheduled CI)
[test workflow run](https://github.com/huggingface/transformers/actions/runs/2354046716) here.
[docker ... | {
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https://api.github.com/repos/huggingface/transformers/issues/17334 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17334/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17334/comments | https://api.github.com/repos/huggingface/transformers/issues/17334/events | https://github.com/huggingface/transformers/pull/17334 | 1,240,328,283 | PR_kwDOCUB6oc44C49s | 17,334 | Fixing docstrings for cvt | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,652 | 1,653 | 1,653 | CONTRIBUTOR | null | # What does this PR do?
This PR does the following:
1. Remove the error in `README.md` where `CvT` description was copy of `CTRL`
2. Fix `size` of image for `feature extractor` which was set to `224`.
3. fix the input docstring for forward classes of `CvtModel` and `CvtForImageClassification` (head mask etc not n... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,652 | 1,654 | 1,652 | COLLABORATOR | null | # What does this PR do?
- Make necessary changes to build `huggingface/transformers-pytorch-nightly-gpu`
- Update `self-nightly-scheduled.yml` to run PyTorch nightly build CI (almost a copy from scheduled CI)
[A run](https://github.com/huggingface/transformers/actions/runs/2347272872) here.
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https://api.github.com/repos/huggingface/transformers/issues/17332 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17332/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17332/comments | https://api.github.com/repos/huggingface/transformers/issues/17332/events | https://github.com/huggingface/transformers/pull/17332 | 1,240,313,324 | PR_kwDOCUB6oc44C10G | 17,332 | Fix ci_url might be None | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,652 | 1,652 | 1,652 | COLLABORATOR | null | # What does this PR do?
In `notification_service.py`, we have
```
ci_url = os.environ.get("CI_COMMIT_URL")
commit_number = ci_url.split("/")[-1]
```
but `ci_url` might be `None`, for example, for scheduled CI.
This PR moves the involved block inside
```
if ci_title is not None:
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,652 | 1,652 | 1,652 | CONTRIBUTOR | null | # What does this PR do?
This PR fixes all failing tests in a multi-gpu setting for all `no_trainer` example scripts. This includes an issue with when the logger was called before `Accelerator()` was created, adjusting when the conditional to add to the `samples_seen`, and adjusting `samples_seen` to use the length w... | {
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https://api.github.com/repos/huggingface/transformers/issues/17330 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17330/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17330/comments | https://api.github.com/repos/huggingface/transformers/issues/17330/events | https://github.com/huggingface/transformers/pull/17330 | 1,240,233,076 | PR_kwDOCUB6oc44CmWo | 17,330 | Adding `batch_size` test to QA pipeline. | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,652 | 1,652 | 1,652 | CONTRIBUTOR | null | # What does this PR do?
Just adds a test on the `batch_size` argument of the pipeline (which shouldn't
affect returned results but can sometimes break because automatic batching
can fail on some specific models/architectures)
<!--
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/17329 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17329/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17329/comments | https://api.github.com/repos/huggingface/transformers/issues/17329/events | https://github.com/huggingface/transformers/pull/17329 | 1,240,186,298 | PR_kwDOCUB6oc44CcXL | 17,329 | Not send successful report | {
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"There is duplication. Forgot to remove one block. Don't merge for now 🙏 ",
"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,652 | 1,652 | 1,652 | COLLABORATOR | null | # What does this PR do?
Here we go. Bye, successful run report 😢 ~
[workflow run](https://github.com/huggingface/transformers/runs/6492878791?check_suite_focus=true)
but no report on Slack. | {
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https://api.github.com/repos/huggingface/transformers/issues/17328 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17328/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17328/comments | https://api.github.com/repos/huggingface/transformers/issues/17328/events | https://github.com/huggingface/transformers/pull/17328 | 1,240,045,788 | PR_kwDOCUB6oc44B-_X | 17,328 | Fix typo | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_17328). All of your documentation changes will be reflected on that endpoint."
] | 1,652 | 1,652 | 1,652 | CONTRIBUTOR | null | # What does this PR do?
Fix typo in Readme
@sgugger
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https://api.github.com/repos/huggingface/transformers/issues/17327 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17327/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17327/comments | https://api.github.com/repos/huggingface/transformers/issues/17327/events | https://github.com/huggingface/transformers/issues/17327 | 1,240,043,832 | I_kwDOCUB6oc5J6ZE4 | 17,327 | Shape mismatch with documentation for cross attentions tensor when performing sequence generation with encoder-decoder model | {
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"Thanks a lot @fgbelidji ! @patil-suraj do you want to give it a try? :-)",
"Yes, will look into it.",
"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 fo... | 1,652 | 1,663 | 1,662 | MEMBER | null | ### System Info
```shell
- `transformers` version: 4.18.0
- Platform: Linux-4.19.0-20-cloud-amd64-x86_64-with-debian-10.12
- Python version: 3.7.12
- Huggingface_hub version: 0.4.0
- PyTorch version (GPU?): 1.11.0+cu102 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): no... | {
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https://api.github.com/repos/huggingface/transformers/issues/17326 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17326/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17326/comments | https://api.github.com/repos/huggingface/transformers/issues/17326/events | https://github.com/huggingface/transformers/pull/17326 | 1,240,000,660 | PR_kwDOCUB6oc44B1kP | 17,326 | Fix bug in Wav2Vec2 pretrain example | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thanks!"
] | 1,652 | 1,652 | 1,652 | CONTRIBUTOR | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/17325 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17325/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17325/comments | https://api.github.com/repos/huggingface/transformers/issues/17325/events | https://github.com/huggingface/transformers/pull/17325 | 1,239,940,250 | PR_kwDOCUB6oc44Bor3 | 17,325 | Remove notification_service_deprecated.py | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,652 | 1,662 | 1,652 | COLLABORATOR | null | # What does this PR do?
Remove `notification_service_deprecated.py`. | {
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https://api.github.com/repos/huggingface/transformers/issues/17324 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17324/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17324/comments | https://api.github.com/repos/huggingface/transformers/issues/17324/events | https://github.com/huggingface/transformers/pull/17324 | 1,239,905,641 | PR_kwDOCUB6oc44Bg7S | 17,324 | [BC] Fixing usage of text pairs | {
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"Pinging two persons, since this contains a backward breaking change (even if it was bugged usage) I would rather have more eyes than not here.\r\n\r\nThe linked issue contains more information that could be helpful too.",
"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,652 | 1,652 | 1,652 | CONTRIBUTOR | null | # This contains a BC please read full description
# What does this PR do?
The BC is actually preventing users from misusing the pipeline since
users could have been willing to send text pairs and the pipeline would
instead understand the thing as a batch returning bogus results.
The correct usage of text pairs... | {
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https://api.github.com/repos/huggingface/transformers/issues/17323 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17323/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17323/comments | https://api.github.com/repos/huggingface/transformers/issues/17323/events | https://github.com/huggingface/transformers/issues/17323 | 1,239,901,047 | I_kwDOCUB6oc5J52N3 | 17,323 | There is a minor bug in run_pretrain.py for Wav2Vec2 example | {
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"Hey @ddobokki,\r\n\r\ngood observation! Would you like to open a PR to fix it? :-)",
"Ok! I will 😁"
] | 1,652 | 1,652 | 1,652 | CONTRIBUTOR | null | ### System Info
```shell
- `transformers` version: 4.18.0
- Platform: Linux-4.15.0-144-generic-x86_64-with-glibc2.27
- Python version: 3.9.12
- Huggingface_hub version: 0.5.1
- PyTorch version (GPU?): 1.7.1+cu110 (True)
- 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/17322 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17322/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17322/comments | https://api.github.com/repos/huggingface/transformers/issues/17322/events | https://github.com/huggingface/transformers/pull/17322 | 1,239,679,033 | PR_kwDOCUB6oc44Av98 | 17,322 | Keep only Roberta's position_embeddings initialisation in modeling_roberta.py | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,652 | 1,653 | 1,653 | NONE | null | # What does this PR do?
There was two position_embeddings initialisations, first one was left from Bert's code and second one is Roberta's tweaked version. Remove first one.
## Who can review?
Anyone in the community is free to review the PR once the tests have passed. Feel free to tag
members/contributors wh... | {
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Remove useless position_embeddings initialisation in modeling_roberta.
First one was from Bert's code and second one is the tweaked Roberta's one.
Removed first one.
## Who can review?
Anyone in the community is free to review the PR once the tests have passed. Feel free to tag
memb... | {
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https://api.github.com/repos/huggingface/transformers/issues/17320 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17320/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17320/comments | https://api.github.com/repos/huggingface/transformers/issues/17320/events | https://github.com/huggingface/transformers/pull/17320 | 1,239,627,790 | PR_kwDOCUB6oc44AlIY | 17,320 | Fix a TF-T5 test | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,652 | 1,652 | 1,652 | COLLABORATOR | null | # What does this PR do?
`test_t5_decoder_model_past_large_inputs` pass incorrect args to `create_and_check_t5_decoder_model_past_large_inputs`.
Don't know why it works so far, but I got errors when working on another PR. | {
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https://api.github.com/repos/huggingface/transformers/issues/17319 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17319/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17319/comments | https://api.github.com/repos/huggingface/transformers/issues/17319/events | https://github.com/huggingface/transformers/issues/17319 | 1,239,604,148 | I_kwDOCUB6oc5J4tu0 | 17,319 | automatically update config file for models | {
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"cc @lewtun @michaelbenayoun ",
"Hi @Ruihua-Fang, \r\nDue to the variety of models we support, I think it would be hard to have a very generic class that handles all cases. \r\nThat being said we can still work on making the base classes the most generic possible so that adding model specific ONNX configs becomes... | 1,652 | 1,654 | 1,654 | CONTRIBUTOR | null | ### Feature request
automatically update config files for large number of models
### Motivation
For the ONNXConfig project https://github.com/huggingface/transformers/issues/16308 where onnxConfig need to be added to 90 models. Currently it is done manually, mostly copy paste. Can this be done automatically? Do... | {
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https://api.github.com/repos/huggingface/transformers/issues/17318 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17318/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17318/comments | https://api.github.com/repos/huggingface/transformers/issues/17318/events | https://github.com/huggingface/transformers/pull/17318 | 1,239,560,598 | PR_kwDOCUB6oc44AW6d | 17,318 | Accepting real pytorch device as arguments. | {
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] | 1,652 | 1,652 | 1,652 | CONTRIBUTOR | null | # What does this PR do?
Fix #17290
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"I got this error because of the way I installed python in MacOS. **It seems that if you don't execute the script with sudo powers then the script is not able to write to disk and thus it fails at downloading the model.**\r\n\r\nI couldn't find a better way than using sudo, since giving full access to disk to Pytho... | 1,652 | 1,652 | 1,652 | NONE | null | ### System Info
```shell
WARNING:tensorflow:From /Users/unaigaraymaestre/miniforge3/envs/test/lib/python3.9/site-packages/transformers/commands/env.py:52: is_gpu_available (from tensorflow.python.framework.test_util) is deprecated and will be removed in a future version.
Instructions for updating:
Use `tf.config.... | {
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Fixes #17241
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"_The documentation is not available anymore as the PR was closed or merged._",
"I run pytest on those 4 failed tests in CircleCI shown above on my local dev, no error message was found, all says skipped except the following one says passed\r\ntests/models/pegasus/test_modeling_pegasus.py::PegasusStandaloneDecode... | 1,652 | 1,654 | 1,654 | CONTRIBUTOR | null | # What does this PR do?
<!--
As part of #16308, this PR adds OnnxConfig for SqueezeBert.
-->
## Who can review?
@lewtun @LysandreJik
Anyone in the community is free to review the PR once the tests have passed.
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"Hi @lewtun , @LysandreJik here are a few things about the testing results\r\n1. pytest test_onnx_v2.py:\r\n 3 passes, 204 skipped, 8 warnings, no errors\r\n\r\n2. RUN_SLOW=1 pytest tests/onnx/test_onnx_v2.py -s -k \"squeezebert\" \r\n gave warning \"No GPU/TPU found, falling back to CPU\"\r\n then com... | 1,652 | 1,655 | 1,655 | CONTRIBUTOR | null | ### Feature request
see https://github.com/huggingface/transformers/issues/16308
### Motivation
see https://github.com/huggingface/transformers/issues/16308
### Your contribution
added onnx config for SqueezeBert | {
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https://api.github.com/repos/huggingface/transformers/issues/17313 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17313/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17313/comments | https://api.github.com/repos/huggingface/transformers/issues/17313/events | https://github.com/huggingface/transformers/pull/17313 | 1,239,274,674 | PR_kwDOCUB6oc43_bct | 17,313 | Adding GroupViT Models | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"CI somehow failed due to connection issue. Could you please restart it?",
"Hi @NielsRogge \r\nI have resolved all the comments. \r\n\r\nRegarding your concern, I think it's a little bit hard to combine them since `GroupViTVisionLay... | 1,652 | 1,656 | 1,656 | CONTRIBUTOR | null | # What does this PR do?
This PR implements paper [GroupViT: Semantic Segmentation Emerges from Text Supervision](https://arxiv.org/abs/2202.11094), the model is converted from [official implementation](https://github.com/NVlabs/GroupViT).
- [x] Inference accuracy matched
- [x] Complete docstring and model cards
... | {
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@sgugger | {
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"I'll talk about this feature in more-detail in a tutorial",
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"Fixes https://app.circleci.com/pipelines/github/huggingface/transformers/40462/workflows/c13c81f0-5db9-4556-8340-f64dc8871e26/jobs/458163\r\n\r\nNot sure why it didn't show up on the PR: https://github.com/huggingface/transformers/pull/16441",
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"Hello. What is the status of the implementation? I would like to contribute to it.",
"Hey @Puranjay-del-Mishra, to the best of my knowledge nobody has started working on it. We'd be very happy for you to take a stab at adding it!\r\n\r\nYou can follow the tutorial here: [adding a new model](https://github.com/hu... | 1,652 | 1,679 | null | NONE | null | ### Model description
I would like to add a new model:
Proposed in the paper: [UNETR: Transformers for 3D Medical Image Segmentation](https://arxiv.org/abs/2103.10504)
UNEt TRansformers (UNETR) utilize a transformer as the encoder to learn sequence representations of the input volume and effectively capture th... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@kevinstephano could you please take a quick look at this PR? Thanks!",
"> LGTM, thanks for iterating! @stas00 are you okay with the changes?\r\n\r\nI primarily would like to hold off on merging this just yet to hear from @Chillee... | 1,652 | 1,655 | 1,653 | CONTRIBUTOR | null | # What does this PR do?
Adding support for TorchDynamo compilation with AOT Autograd and nvfuser backends. Detailed context available at - https://github.com/huggingface/transformers/pull/17204
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the ca... | {
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https://api.github.com/repos/huggingface/transformers/issues/17307 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17307/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17307/comments | https://api.github.com/repos/huggingface/transformers/issues/17307/events | https://github.com/huggingface/transformers/issues/17307 | 1,239,024,117 | I_kwDOCUB6oc5J2gH1 | 17,307 | 404 Errors on Loading Artifacts due to mispellings could suggest a model/tokenizer/dataset to the API user in the error message. | {
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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... | 1,652 | 1,656 | 1,656 | CONTRIBUTOR | null | ### Feature request
When loading a model/tokenizer/config/Datasets with Auto* (or even other loader classes). It would be fun to autosuggest a model from HF hub if you make a typo in the 404 error message from the API.
Feel free to close this if you think its silly and freviolous.
An implementation could use ed... | {
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https://api.github.com/repos/huggingface/transformers/issues/17306 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17306/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17306/comments | https://api.github.com/repos/huggingface/transformers/issues/17306/events | https://github.com/huggingface/transformers/pull/17306 | 1,238,909,543 | PR_kwDOCUB6oc43-NR_ | 17,306 | Fix -1e4 as attn mask | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Generally, this looks good to me. I'd prefer though to not factor out a one-liner into a function (even if we have to add the one-liner 100+ times). It's not good for readability to have to jump to `modeling_utils.py` and the code sa... | 1,652 | 1,656 | 1,655 | COLLABORATOR | null | # What does this PR do?
Fix the issues regarding `-1e4` as attention mask.
Fix #17215 #17121 #14859 | {
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https://api.github.com/repos/huggingface/transformers/issues/17305 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17305/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17305/comments | https://api.github.com/repos/huggingface/transformers/issues/17305/events | https://github.com/huggingface/transformers/issues/17305 | 1,238,721,757 | I_kwDOCUB6oc5J1WTd | 17,305 | Pipeline inference with text pair is broken | {
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"Hi @fxmarty ,\r\n\r\nText pair was indeed never supported by the pipeline, so it's not tested against. We could definitely add support.\r\nWithout any code change you could do :\r\n```python\r\nres = pipe([[[txt, txt_pair]]] padding=True, truncation=True)\r\n```\r\n\r\nThen we could also have a fix within the pipe... | 1,652 | 1,652 | 1,652 | COLLABORATOR | null | ### System Info
```shell
- `transformers` version: 4.20.0.dev0
- Platform: Linux-5.15.0-27-generic-x86_64-with-glibc2.35
- Python version: 3.9.12
- 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 ... | {
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https://api.github.com/repos/huggingface/transformers/issues/17304 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17304/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17304/comments | https://api.github.com/repos/huggingface/transformers/issues/17304/events | https://github.com/huggingface/transformers/pull/17304 | 1,238,677,979 | PR_kwDOCUB6oc439bG9 | 17,304 | Fix dummy creation script | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,652 | 1,652 | 1,652 | COLLABORATOR | null | # What does this PR do?
The `check_dummies` script was not adapted to the recent changes in the main init. As a result `make fix-copies` stopped creating dummy objects. By some miracle, none were missing, but this PR fixes the script (tested locally after adding new objects). | {
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https://api.github.com/repos/huggingface/transformers/issues/17303 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17303/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17303/comments | https://api.github.com/repos/huggingface/transformers/issues/17303/events | https://github.com/huggingface/transformers/pull/17303 | 1,238,674,759 | PR_kwDOCUB6oc439aaT | 17,303 | [Test] Fix W2V-Conformer integration test | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,652 | 1,652 | 1,652 | MEMBER | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/17302 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17302/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17302/comments | https://api.github.com/repos/huggingface/transformers/issues/17302/events | https://github.com/huggingface/transformers/pull/17302 | 1,238,672,719 | PR_kwDOCUB6oc439Z-W | 17,302 | [Speech Model] Add Emformer | {
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"@anton-l could you leave some comments in the code so that I know where I should take a look for the model design here?",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_17302). All of your documentation changes will be reflected on that endpoint.",
"@anton-l do you w... | 1,652 | 1,664 | 1,664 | MEMBER | null | # What does this PR do?
This PR adds the Emformer model: an auto-regressive ASR model with an option for RNN-Transducer decoding.
This model shows promising result for real-time speech recognition and there are 3 pretrained checkpoints available via the torchaudio library:
https://pytorch.org/audio/main/tutorials/... | {
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https://api.github.com/repos/huggingface/transformers/issues/17301 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17301/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17301/comments | https://api.github.com/repos/huggingface/transformers/issues/17301/events | https://github.com/huggingface/transformers/pull/17301 | 1,238,646,648 | PR_kwDOCUB6oc439US3 | 17,301 | [Tests] Fix opt integration test | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Let's see whether this fixes the CI"
] | 1,652 | 1,652 | 1,652 | MEMBER | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/17300 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17300/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17300/comments | https://api.github.com/repos/huggingface/transformers/issues/17300/events | https://github.com/huggingface/transformers/pull/17300 | 1,238,573,415 | PR_kwDOCUB6oc439EY3 | 17,300 | Fix tests of mixed precision now that experimental is deprecated | {
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"Thanks, @Rocketknight1 \r\n\r\nI saw we have a few\r\n\r\n```\r\ntf.keras.mixed_precision.experimental.Policy\r\n```\r\n\r\nin `src/transformers/training_args_tf.py`. Maybe we also need to update these places? (I am OK if you prefer to do it in another PR, if the change is indeed necessary)",
"@ydshieh I'll fix ... | 1,652 | 1,652 | 1,652 | MEMBER | null | null | {
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https://api.github.com/repos/huggingface/transformers/issues/17299 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17299/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17299/comments | https://api.github.com/repos/huggingface/transformers/issues/17299/events | https://github.com/huggingface/transformers/pull/17299 | 1,238,547,180 | PR_kwDOCUB6oc438-rD | 17,299 | Add CvT | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,652 | 1,652 | 1,652 | CONTRIBUTOR | null | # What does this PR do?
Co-authored-by: AnugunjNaman <anugunjjha@gmail.com>
This PR adds CvT (Convolutional Vision Transformer) by Microsoft Research.
I just cleaned up the branch of @AnugunjNaman.
To do:
- [x] make @AnugunjNaman co-author of this PR | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,652 | 1,652 | 1,652 | COLLABORATOR | null | # What does this PR do?
As title. The result looks like
<img width="502" alt="Screenshot 2022-05-17 093737" src="https://user-images.githubusercontent.com/2521628/168756091-6969528d-a7c7-492e-89f4-ae3649fb10bd.png">
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https://api.github.com/repos/huggingface/transformers/issues/17297 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17297/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17297/comments | https://api.github.com/repos/huggingface/transformers/issues/17297/events | https://github.com/huggingface/transformers/issues/17297 | 1,238,182,109 | I_kwDOCUB6oc5JzSjd | 17,297 | Error while finetuning XLM-RoBERTa on Tensorflow-Keras | {
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"Hey @tdr1991 👋 The error seems to come from `Precision` and `Recall`, which are designed for binary classification -- see this StackOverflow thread: https://stackoverflow.com/questions/59305514/tensorflow-how-to-use-tf-keras-metrics-in-multiclass-classification\r\n\r\n(Closing the issue, since it is not related ... | 1,652 | 1,652 | 1,652 | NONE | null | ## env:
tensorflow 2.8.0
keras 2.8.0
transformers 4.18.0
python 3.8
## code
### data loader
```python
def gen_dataset_iter(model_config):
data_files = {"train": model_config.train_path, "validation": model_config.dev_path, "tes... | {
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https://api.github.com/repos/huggingface/transformers/issues/17296 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17296/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17296/comments | https://api.github.com/repos/huggingface/transformers/issues/17296/events | https://github.com/huggingface/transformers/issues/17296 | 1,238,168,352 | I_kwDOCUB6oc5JzPMg | 17,296 | about the opt model KeyError: 'opt' | {
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"I met the same problem. Have you fixed this?",
"> \r\n\r\nYou can download the latest version of transformers, have a good day.",
"@DericZhao I installed the latest version, I am still getting the error. Any help?",
"I met the same problem. Any solutions?",
"me too!my transformers version is 4.4.1,I still... | 1,652 | 1,678 | 1,652 | NONE | null | ### System Info
```shell
I just copy the code from the model card on the https://huggingface.co/facebook/opt-30b, then there is an error, can you help me to find what's the problem of it?
Traceback (most recent call last):
File "D:\SentenceRewrite\opt.py", line 4, in <module>
model = AutoModelForCausalLM.fr... | {
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https://api.github.com/repos/huggingface/transformers/issues/17295 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17295/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17295/comments | https://api.github.com/repos/huggingface/transformers/issues/17295/events | https://github.com/huggingface/transformers/issues/17295 | 1,238,130,438 | I_kwDOCUB6oc5JzF8G | 17,295 | ValueError: If training, make sure that config.axial_pos_shape factors: (512, 1024) multiply to sequence length. Got prod((512, 1024)) != sequence_length: 1024. You might want to consider padding your sequence length to 524288 or changing config.axial_pos_shape for ReformerForSequenceClassification | {
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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... | 1,652 | 1,660 | 1,660 | NONE | null | `
from transformers import ReformerTokenizer, ReformerForSequenceClassification, ReformerConfig
model_name = "google/reformer-crime-and-punishment"
tokenizer = ReformerTokenizer.from_pretrained(model_name)
def input_id_maker(dataf, tokenizer):
input_ids = []
lengths... | {
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https://api.github.com/repos/huggingface/transformers/issues/17294 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17294/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17294/comments | https://api.github.com/repos/huggingface/transformers/issues/17294/events | https://github.com/huggingface/transformers/pull/17294 | 1,237,836,090 | PR_kwDOCUB6oc436l6g | 17,294 | [T5] Fix init in TF and Flax for pretraining | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,652 | 1,652 | 1,652 | MEMBER | 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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https://api.github.com/repos/huggingface/transformers/issues/17293 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17293/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17293/comments | https://api.github.com/repos/huggingface/transformers/issues/17293/events | https://github.com/huggingface/transformers/pull/17293 | 1,237,818,719 | PR_kwDOCUB6oc436iC_ | 17,293 | fix for 17292 | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,652 | 1,652 | 1,652 | CONTRIBUTOR | null | Fixes #17292
## Before submitting
- [N/A] 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 [contributor guideline](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md#start-contributing-pull-requests),
Pull Request se... | {
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https://api.github.com/repos/huggingface/transformers/issues/17292 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17292/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17292/comments | https://api.github.com/repos/huggingface/transformers/issues/17292/events | https://github.com/huggingface/transformers/issues/17292 | 1,237,807,457 | I_kwDOCUB6oc5Jx3Fh | 17,292 | Misleading error when from_pretrained fails, says there are flax weights when there aren't | {
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```shell
- `transformers` version: 4.20.0.dev0
- Platform: Linux-5.14.0-1031-oem-x86_64-with-glibc2.17
- Python version: 3.8.12
- Huggingface_hub version: 0.4.0
- PyTorch version (GPU?): 1.10.0+cu102 (True)
- Tensorflow version (GPU?): 2.9.0 (False)
- Flax version (CPU?/GPU?/TPU?): not installed ... | {
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https://api.github.com/repos/huggingface/transformers/issues/17291 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17291/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17291/comments | https://api.github.com/repos/huggingface/transformers/issues/17291/events | https://github.com/huggingface/transformers/pull/17291 | 1,237,806,692 | PR_kwDOCUB6oc436fVz | 17,291 | Fix CodeParrot training script | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,652 | 1,653 | 1,653 | CONTRIBUTOR | null | This PR fixes some features in the training script of CodeParrot:
* use `Pytorch` implementation of `AdamW` instead of `transformers` implementation
* add shuffling of the sequences in the batches
* fix error in weight decay for LayerNorm
* change the tracked loss to the average over batches instead of the main w... | {
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https://api.github.com/repos/huggingface/transformers/issues/17290 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17290/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17290/comments | https://api.github.com/repos/huggingface/transformers/issues/17290/events | https://github.com/huggingface/transformers/issues/17290 | 1,237,522,840 | I_kwDOCUB6oc5JwxmY | 17,290 | Accepting torch device objects in the Pipeline init | {
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"cc @Narsil ",
"@courtneysprouse you're entirely correct, there's no real reason why we don't accept those.\r\n\r\nThe reason why we want to be able to accept `int` is to support seamless `TF` and `PyTorch` (which don't use the same conventions for devices) but the pipeline abstracts that away. But if you want to... | 1,652 | 1,652 | 1,652 | NONE | null | ### Feature request
Currently Pipeline init only takes an integer as a device argument in the constructor. It would make it a little easier to interface with and integrate with existing code if it also took a pytorch device object.
### Motivation
It's frustrating not be to be able to use the model.device/self.devic... | {
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https://api.github.com/repos/huggingface/transformers/issues/17289 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17289/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17289/comments | https://api.github.com/repos/huggingface/transformers/issues/17289/events | https://github.com/huggingface/transformers/pull/17289 | 1,237,503,870 | PR_kwDOCUB6oc435cGW | 17,289 | Better error in the Auto API when a dep is missing | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,652 | 1,652 | 1,652 | COLLABORATOR | null | # What does this PR do?
As reported in #17266, the error message when an auto API is used to load a class that can't be loaded because a dep is missing is not helpful (it actually got worse since #17250).
This PR addresses the problem by returning the associated dummy class when the right class can't be loaded, w... | {
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https://api.github.com/repos/huggingface/transformers/issues/17288 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17288/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17288/comments | https://api.github.com/repos/huggingface/transformers/issues/17288/events | https://github.com/huggingface/transformers/pull/17288 | 1,237,497,139 | PR_kwDOCUB6oc435aoJ | 17,288 | Make TrainerHyperParameterSigOptIntegrationTest slow test | {
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"Add @sgugger for a double check :-)",
"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,652 | 1,652 | 1,652 | COLLABORATOR | null | # What does this PR do?
As discussed offline, make `TrainerHyperParameterSigOptIntegrationTest` a slow test. | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"> Very nice! Thanks for taking the initiative here @Threepointone4. Left some suggestions to make the text a bit clearer :-) Let me know what you think!\r\n\r\nThese make sense, Thanks for the edits. \r\n",
"@patrickvonplaten what ... | 1,652 | 1,655 | 1,655 | CONTRIBUTOR | null |
# What does this PR do?
This PR improves the documentation of encoder decoder model.
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https://api.github.com/repos/huggingface/transformers/issues/17286 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17286/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17286/comments | https://api.github.com/repos/huggingface/transformers/issues/17286/events | https://github.com/huggingface/transformers/pull/17286 | 1,237,384,735 | PR_kwDOCUB6oc435CQp | 17,286 | Add Visual Question Answering (VQA) pipeline | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Hi,\r\n\r\nCan you first make sure that your branch is up to date with the main branch? You can achieve that as follows:\r\n\r\n```\r\ngit remote add upstream https://github.com/huggingface/transformers.git\r\ngit fetch upstream\r\ng... | 1,652 | 1,659 | 1,655 | CONTRIBUTOR | null | # What does this PR do?
Add Visual Question Answering (VQA) pipeline, as described in #17208. The pipeline currently defaults to [ViLT](https://huggingface.co/docs/transformers/model_doc/vilt), which is also the only model it supports for now.
It also adds all the necessary class such as `AutoModelForVisualQuest... | {
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https://api.github.com/repos/huggingface/transformers/issues/17285 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17285/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17285/comments | https://api.github.com/repos/huggingface/transformers/issues/17285/events | https://github.com/huggingface/transformers/issues/17285 | 1,237,349,459 | I_kwDOCUB6oc5JwHRT | 17,285 | TF: all models can run in Graph mode | {
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"cc @Rocketknight1 and @ydshieh -- link related issues as you see them plz :D ",
"Strong +1 on this, since compiling in graph mode is needed for all the other downstream things we want to do (TF Serving, tf.js, etc.)",
"Link a potentially related issue as early as possible, as I have a poor memory capability\r\... | 1,652 | 1,658 | 1,658 | MEMBER | null | ### Feature request
Our models are executed in Eager mode by default. Eager mode is more permissive than Graph mode, and we have models that don't work in Graph mode at the moment. This (self) feature request is being added to bring visibility to the problem, link issues, and track progress.
### Motivation
It ... | {
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https://api.github.com/repos/huggingface/transformers/issues/17284 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17284/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17284/comments | https://api.github.com/repos/huggingface/transformers/issues/17284/events | https://github.com/huggingface/transformers/pull/17284 | 1,237,316,685 | PR_kwDOCUB6oc434zmO | 17,284 | Bug fix: move tensors to GPU in GeneralizedRCNN.inference() | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_17284). All of your documentation changes will be reflected on that endpoint.",
"Pinging @eltoto1219 as the author of that research project!",
"@LysandreJik @eltoto1219 Thank you! Please let me know if there is anything r... | 1,652 | 1,656 | 1,656 | NONE | null | # What does this PR do?
This PR fixes a bug in `research_projects/lxmert`.
Currently, visual feature extraction using `GeneralizedRCNN` fails when `GeneralizedRCNN` is moved onto GPU
because some intermediate outputs in `GeneralizedRCNN.inference()` are generated and left on CPU.
I fixed the bug by adding `.t... | {
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"Hey @SwordShieldMouse,\r\n\r\nnote that `position_ids` does not have a huge influence on the output. It is not very surprising to me that the generated output ids (that we generated by taking the `argmax(...)` logits) are the same. It essentially just means that different positions ids still lead to the model outp... | 1,652 | 1,668 | null | NONE | null | ### System Info
```shell
python version: 3.9
transformers version: 4.18
```
### Who can help?
@patil-suraj @patrickvonplaten
### Information
- [ ] The official example scripts
- [X] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQ... | {
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https://api.github.com/repos/huggingface/transformers/issues/17282 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17282/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17282/comments | https://api.github.com/repos/huggingface/transformers/issues/17282/events | https://github.com/huggingface/transformers/pull/17282 | 1,237,294,058 | PR_kwDOCUB6oc434ut5 | 17,282 | [Tests] Fix slow opt tests | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Hey, will review that ASAP (~1-2h) "
] | 1,652 | 1,652 | 1,652 | MEMBER | null | Fixes failing circle ci tests:
```
tests/models/opt/test_modeling_opt.py::OPTEmbeddingsTest::test_logits
tests/models/opt/test_modeling_opt.py::OPTModelIntegrationTests::test_inference_no_head
``` | {
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https://api.github.com/repos/huggingface/transformers/issues/17281 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17281/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17281/comments | https://api.github.com/repos/huggingface/transformers/issues/17281/events | https://github.com/huggingface/transformers/pull/17281 | 1,237,224,329 | PR_kwDOCUB6oc434fl_ | 17,281 | Add Deformable DETR | {
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"Addressed most comments. I would like to have:\r\n\r\n- [ ] @Narsil reviewing the initialization of the model using the custom CUDA kernel\r\n- [ ] @LysandreJik (and possibly @Narsil) help me out regarding making the CI green for a model that only runs on GPU. Should we define a custom CI job for this particular m... | 1,652 | 1,673 | 1,663 | CONTRIBUTOR | null | # What does this PR do?
This PR implements [Deformable DETR](https://github.com/fundamentalvision/Deformable-DETR), which improves the original [DETR](https://huggingface.co/docs/transformers/model_doc/detr) using a new "deformable attention" module.
This model requires a custom CUDA kernel (hence it can only be ... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@sgugger ok for you?"
] | 1,652 | 1,652 | 1,652 | CONTRIBUTOR | null | # What does this PR do?
As pointed out by #16699, the drop path rate attribute of `ConvNextConfig` wasn't implemented correctly.
This PR fixes that, for both the PyTorch and Tensorflow implementations. | {
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https://api.github.com/repos/huggingface/transformers/issues/17279 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17279/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17279/comments | https://api.github.com/repos/huggingface/transformers/issues/17279/events | https://github.com/huggingface/transformers/pull/17279 | 1,236,939,889 | PR_kwDOCUB6oc433ic4 | 17,279 | Change `config.encoder_ffn_dim` to `config.decoder_ffn_dim` for decoder impl | {
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] | 1,652 | 1,652 | 1,652 | CONTRIBUTOR | null | Change `config.encoder_ffn_dim` to `config.decoder_ffn_dim` for decoder.
These typos are detected during loading flax from pytorch checkpoint where `encoder_ffn_dim` != `decoder_ffn_dim`
# What does this PR do?
This PR fix typos, these typos is critical!!!
@patrickvonplaten @patil-suraj
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"@NielsRogge Pick me pick me pick me!",
"Pinging @SaulLu here as she might have a better clue regarding the tokenization. For context, LayoutXLM uses the same tokenization as XLMRoBERTa. ",
"Hi @fredo838 ,\r\n\r\nThank you very much for the detailed issue! Quite a few things seem to come into play here.\r\n\r\n... | 1,652 | 1,654 | 1,654 | CONTRIBUTOR | null | ### System Info
```shell
- `transformers` version: 4.19.1
- Platform: Linux-5.13.0-39-generic-x86_64-with-glibc2.31
- Python version: 3.10.0
- Huggingface_hub version: 0.6.0
- PyTorch version (GPU?): 1.11.0+cu102 (False)
- Tensorflow version (GPU?): 2.8.0 (False)
- Flax version (CPU?/GPU?/TPU?): not installed... | {
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https://api.github.com/repos/huggingface/transformers/issues/17277 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17277/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17277/comments | https://api.github.com/repos/huggingface/transformers/issues/17277/events | https://github.com/huggingface/transformers/pull/17277 | 1,236,884,239 | PR_kwDOCUB6oc433Wto | 17,277 | Issue 17128 | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_17277). All of your documentation changes will be reflected on that endpoint.",
"Thank you, Narsil. I don't have write access. So, please merge to `main`.",
"I will ping a wait for a core maintainer second eye.\r\n\r\n@Ly... | 1,652 | 1,652 | 1,652 | 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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https://api.github.com/repos/huggingface/transformers/issues/17276 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17276/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17276/comments | https://api.github.com/repos/huggingface/transformers/issues/17276/events | https://github.com/huggingface/transformers/pull/17276 | 1,236,882,855 | PR_kwDOCUB6oc433WbH | 17,276 | Remove next sentence prediction from supported ONNX tasks | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,652 | 1,652 | 1,652 | MEMBER | null | # What does this PR do?
This PR removes the `next-sentence-prediction` feature that was added in https://github.com/huggingface/transformers/pull/17029 as part of the MobileBERT ONNX export.
It turns out that the `forward()` method of MobileBERT and BERT includes `kwargs`, which is not supported with PyTorch's ... | {
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https://api.github.com/repos/huggingface/transformers/issues/17275 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17275/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17275/comments | https://api.github.com/repos/huggingface/transformers/issues/17275/events | https://github.com/huggingface/transformers/pull/17275 | 1,236,839,590 | PR_kwDOCUB6oc433NR5 | 17,275 | Fixes #17128 . | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,652 | 1,652 | 1,652 | CONTRIBUTOR | null | VisibleDeprecationWarning is addressed by specifying dtype=object when creating numpy array.
# What does this PR do?
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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 t... | {
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https://api.github.com/repos/huggingface/transformers/issues/17274 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17274/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17274/comments | https://api.github.com/repos/huggingface/transformers/issues/17274/events | https://github.com/huggingface/transformers/issues/17274 | 1,236,776,777 | I_kwDOCUB6oc5Jt7dJ | 17,274 | Add pipeline for cross-modal / uni-modal ranking | {
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"I think there are some image-text retrieval capabilities already, such as [ViltForImageAndTextRetrieval](https://huggingface.co/docs/transformers/model_doc/vilt#transformers.ViltForImageAndTextRetrieval). But these can only work for a toy example set of queries and keys due to its interaction-based nature. A true ... | 1,652 | 1,655 | 1,655 | NONE | null | ### Feature request
Given queries and keys, the proposed pipeline returns a ranked list of keys that are most similar to each respective query.
This pipeline should support uni-modal and cross-modal retrieval, i.e.
- Text-to-Text
- Text-to-Image
- Image-to-Text
- Image-to-Image
Prominent use cases would be... | {
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https://api.github.com/repos/huggingface/transformers/issues/17273 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17273/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17273/comments | https://api.github.com/repos/huggingface/transformers/issues/17273/events | https://github.com/huggingface/transformers/issues/17273 | 1,236,766,428 | I_kwDOCUB6oc5Jt47c | 17,273 | How to input word2vec embeddings to gpt2 model? | {
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"Hi @tejaravi675 👋 Yes, you can pass embeddings to the model as you described (through `inputs_embeds`), but the embeddings will be unknown to the model, as it was not trained with them. In essence, you will have to build a script to finetune the model using your embeddings (for GPT-2, with the causal language mo... | 1,652 | 1,652 | 1,652 | NONE | null | Hi,
I am working on the huggingface gpt2 model. I have a word2vec model trained on a dataset (dimensions similar to gpt2, 768). Now I want to input these embeddings to gpt2. I understand I must use inputs_embeds to input the embeddings but I am little unclear about how exactly to do it. Any source or help would be a... | {
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https://api.github.com/repos/huggingface/transformers/issues/17272 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17272/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17272/comments | https://api.github.com/repos/huggingface/transformers/issues/17272/events | https://github.com/huggingface/transformers/pull/17272 | 1,236,679,733 | PR_kwDOCUB6oc432r6U | 17,272 | Fix wrong PT/TF categories in CI report | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,652 | 1,652 | 1,652 | COLLABORATOR | null | # What does this PR do?
Current `notification_service.py` has
```
if re.search("_tf_", line):
model_results[model]["failed"]["TensorFlow"][artifact_path["gpu"]] += 1
```
which will put all `test_pt_tf_model_equivalence` under `TensorFlow` even it is from the PT (cross) tests, like
```
tests/models/albert/... | {
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