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"Please use the [forums](https://discuss.huggingface.co/) to ask questions like this and help debug your code as we keep issues for feature requests and bugs only.\r\n\r\nThe texts are all concatenated and then split in blocks of the block size you pass to the script, so your dataset is not composed of documents of... | 1,654 | 1,658 | 1,658 | NONE | null | ### System Info
```shell
- `transformers` version: 4.20.0.dev0
- Platform: Linux-5.4.0-52-generic-x86_64-with-glibc2.31
- Python version: 3.9.12
- Huggingface_hub version: 0.7.0
- PyTorch version (GPU?): 1.11.0 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not install... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_17673). All of your documentation changes will be reflected on that endpoint.",
"cc @SaulLu \r\n"
] | 1,654 | 1,658 | 1,658 | NONE | null | # What does this PR do?
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_17672). All of your documentation changes will be reflected on that endpoint.",
"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... | 1,654 | 1,658 | 1,658 | CONTRIBUTOR | null | # What does this PR do?
add dtype for faster fp16/bf16 training
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"Developing this as a `SequenceClassification` head. This is correct right? @patrickvonplaten \r\n\r\nTODO:\r\n- [ ] Export LID head weights from flashlight model\r\n- [ ] make new `cwkeam/m-ctct-t-large-lid` checkpoint with above exported weights\r\n- [ ] write tests",
"This looks good to me @lorenlugosch and @a... | 1,654 | 1,666 | 1,666 | CONTRIBUTOR | null | # What does this PR do?
Adding LID head to the M-CTC-T Model.
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md#start-con... | {
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https://api.github.com/repos/huggingface/transformers/issues/17670 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17670/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17670/comments | https://api.github.com/repos/huggingface/transformers/issues/17670/events | https://github.com/huggingface/transformers/issues/17670 | 1,268,133,118 | I_kwDOCUB6oc5Lliz- | 17,670 | run_ner.py is slower than run_ner_no_trainer.py | {
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"How many GPUs do you have? You launch the second script with `accelerate launch`, so will use distributed training if you have several GPUs, while the first script is launched with Python so is not distributed.",
"> How many GPUs do you have? You launch the second script with `accelerate launch`, so will use dis... | 1,654 | 1,658 | 1,658 | NONE | null | ### System Info
```shell
- `transformers` version: 4.19.3
- Platform: Linux-5.15.0-35-generic-x86_64-with-glibc2.17
- Python version: 3.8.13
- Huggingface_hub version: 0.2.1
- PyTorch version (GPU?): 1.11.0 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (... | {
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https://api.github.com/repos/huggingface/transformers/issues/17669 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17669/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17669/comments | https://api.github.com/repos/huggingface/transformers/issues/17669/events | https://github.com/huggingface/transformers/pull/17669 | 1,268,035,795 | PR_kwDOCUB6oc45fh_r | 17,669 | Fixed documentation typo, parameter name is evaluation_strategy, not eval_strategy | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,654 | 1,655 | 1,655 | CONTRIBUTOR | null | Noticed that there was a typo in the documentation here:
https://huggingface.co/docs/transformers/v4.19.4/en/main_classes/trainer#transformers.TrainingArguments
I believe the parameter name should be `evaluation_strategy` and not `eval_strategy` | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Errors seem all related to the current Hub failure, still, will wait for the site to be back online to relaunch them since this is not urgent :-)"
] | 1,654 | 1,655 | 1,655 | COLLABORATOR | null | # What does this PR do?
This PR is a better fix for #17656 as I've had time to dive deeper into this issue. The problem does appear when the model is wrapped in a `DataParallel` object, and not just for PyTorch 1.5. | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@Narsil would this be ok for you? see: https://github.com/huggingface/transformers/issues/17666\r\n\r\nI can add a simple slow test that iterates over the default pipelines to make sure that the pipeline is correctly loaded",
"PR i... | 1,654 | 1,656 | 1,656 | MEMBER | null | # What does this PR do?
<!--
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"cc @NielsRogge @Narsil @LysandreJik @sgugger "
] | 1,654 | 1,656 | 1,656 | MEMBER | null | ### Feature request
Continuing the discussion here: https://github.com/huggingface/transformers/pull/17286#discussion_r893716733
To make sure that the default pipelines models - some of which - are community contributed models and thus somewhat "out-of-control" for transformers, it'd be important to add a `revision... | {
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https://api.github.com/repos/huggingface/transformers/issues/17665 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17665/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17665/comments | https://api.github.com/repos/huggingface/transformers/issues/17665/events | https://github.com/huggingface/transformers/issues/17665 | 1,267,710,749 | I_kwDOCUB6oc5Lj7sd | 17,665 | Transformer Vit-MAE hard coded image channels | {
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"Hi,\r\n\r\nThis has already been asked in #17473. I'll review the related PR #17491 "
] | 1,654 | 1,655 | 1,655 | NONE | null | ### Feature request
Although the config file for the model accepts number of input channels, the class methods patchify and unpatchify use hard coded 3 channel image input. It should use num_channels argument of the config. https://github.com/huggingface/transformers/blob/a727db62f4f4e5cb15020fa5efa86ae559324616/src... | {
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https://api.github.com/repos/huggingface/transformers/issues/17664 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17664/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17664/comments | https://api.github.com/repos/huggingface/transformers/issues/17664/events | https://github.com/huggingface/transformers/pull/17664 | 1,267,658,851 | PR_kwDOCUB6oc45eQjy | 17,664 | Explicitly set utf-8 for Windows in utils required for make fixup | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,654 | 1,655 | 1,655 | COLLABORATOR | null | # What does this PR do?
Had a little issue that I could not successfully run `make fixup` due to encoding issues. Windows still does not use UTF-8 by default unfortunately.
When looking through the whole codebase, I found other occurrences where the encoding has not been specified. These are _not_ fixed in this P... | {
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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... | 1,654 | 1,657 | 1,657 | CONTRIBUTOR | null | ### System Info
```shell
- `transformers` version: 4.20.0.dev0
- `accelerate` version: 0.9.0
```
### Who can help?
@Narsil
### Information
- [X] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuA... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Hi @nickprock , I found these typos could you edit the file? Thanks!\r\n- \"benifici\" --> \"benefici\"\r\n- \"stratergia\" --> \"strategia\"\r\n- \"Addestranento\" --> \"Addestramento\"\r\n- \"Le [Trainer] API supporta\" --> \"L'API... | 1,654 | 1,658 | 1,658 | CONTRIBUTOR | null | # What does this PR do?
* added translation.mdx
* updated _toctree.yml
See issue: [#17459](https://github.com/huggingface/transformers/issues/17459)
## 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... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thansk for fixing!"
] | 1,654 | 1,655 | 1,654 | MEMBER | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/17660 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17660/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17660/comments | https://api.github.com/repos/huggingface/transformers/issues/17660/events | https://github.com/huggingface/transformers/pull/17660 | 1,267,605,360 | PR_kwDOCUB6oc45eFB_ | 17,660 | [Data2Vec] Speed up test | {
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"Speeds up data2vec test from 30s to 2s",
"_The documentation is not available anymore as the PR was closed or merged._",
"Thanks a lot!"
] | 1,654 | 1,655 | 1,654 | MEMBER | null | # What does this PR do?
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"cc @pacman100 ",
"The crux of this issue is Google Colab, and its inability to clear out the old model architecture from RAM. So instead of loading 8x model weights, then our new dict, plus the potential to do a gc.collect(), the other model weights are hanging indefinitely in colab space, unable to be freed. Gi... | 1,654 | 1,654 | 1,654 | CONTRIBUTOR | null | ### System Info
```shell
- `transformers` version: 4.19.3
- `accelerate` version: 0.10.0.dev0
- Platform: Linux-5.4.188+-x86_64-with-Ubuntu-18.04-biotic
- Python version: 3.713
- Huggingface_hub version: 0.7.0
- PyTorch version (GPU?): 1.9.0+cu102 (False)
- Tensorflow version (GPU?): 2.8.2 (False)
- Flax ver... | {
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"This reduces overall fast testing time of BigBird to 30 seconds from 4 minutes. It's still quite a bit, but if I remove more tests (or make them slow, we don't test the Flax version anymore at all really).",
"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,654 | 1,654 | 1,654 | MEMBER | null | # What does this PR do?
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] | 1,654 | 1,654 | 1,654 | CONTRIBUTOR | null | - use CodeParrot scores of v1.1
- change evaluation command to use accelerate
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"@stas00 Merging this without waiting for you to wake up to have the examples running again. Once I've investigated more, I'll open a new PR with a (hopefully) better fix and a new test (since we should have caught that issue on the C... | 1,654 | 1,654 | 1,654 | COLLABORATOR | null | # What does this PR do?
This is a hotfix for #17649 which rely on the old behavior when there is no floating point parameters. I think some empty parameter generators are responsible but I can't understand why the old code works. I will dig more into it but for now we need something to fix all uses of (at least) BER... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"I will close this PR, once #17692 is merged (as it is preferred)."
] | 1,654 | 1,655 | 1,655 | COLLABORATOR | null | To avoid the branch `push-ci` (the branch to launch the actual Push CI on GitHub actions) to run `CircleCI` tests, as those are already run when the commits are merged into `main`.
The `filters` could not be added directly in the job definitions, like
```
run_tests_torch_and_tf_all:
filters:
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"Hello, thanks for opening an issue! We try to keep the github issues for bugs/feature requests.\r\nCould you ask your question on the [forum](https://discuss.huggingface.co) instead?\r\n\r\nThanks!",
"I will. Thanks for the instruction.",
"This issue has been automatically marked as stale because it has not ha... | 1,654 | 1,658 | 1,658 | NONE | null | ### Feature request
Adaptive pretraining methods like domain adaptive pretraining and task adaptive pretraining can benefit downstream tasks, which is illustrated in [https://aclanthology.org/2020.acl-main.740.pdf](url). In [https://huggingface.co/models](url), there are successful models pretrained with data from sou... | {
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https://api.github.com/repos/huggingface/transformers/issues/17653 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17653/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17653/comments | https://api.github.com/repos/huggingface/transformers/issues/17653/events | https://github.com/huggingface/transformers/issues/17653 | 1,267,262,282 | I_kwDOCUB6oc5LiONK | 17,653 | Abnormal behavior of OPT except OPT-350m | {
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"Related issue https://github.com/huggingface/transformers/issues/17545",
"Hmm, that's a very good test - it indeed seems like there is a bug with the model weights conversion... @stephenroller can you by any chance run those models with metaseq to verify that `ppl` is reasonable? ",
"Also @hemingkx, I can conf... | 1,654 | 1,656 | 1,655 | NONE | null | ### System Info
```shell
- `transformers` version: 4.20.0.dev0
- Platform: Linux-5.11.0-1020-azure-x86_64-with-debian-bullseye-sid
- Python version: 3.7.13
- Huggingface_hub version: 0.7.0
- PyTorch version (GPU?): 1.10.1+cu111 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/T... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_17652). All of your documentation changes will be reflected on that endpoint.",
"Yay!",
"> Yay!\r\n\r\nBlocked by https://github.com/huggingface/huggingface_hub/pull/898 :)",
"Done in #17716, @XciD lost a contribution t... | 1,654 | 1,655 | 1,655 | MEMBER | null | Uses the new CI environment for tests, which uses Gitaly and is automatically updated to the latest version of the Hub. | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"> (Style changes in research_project should go in another PR normally, but why not).\r\n\r\nSorry, these changes were applied automatically by `make style`.\r\nI can remove them if that's better 🙂 \r\n\r\n",
"Merging since the CI ... | 1,654 | 1,654 | 1,654 | CONTRIBUTOR | null | # What does this PR do?
Reverts #17646
If the user is not authenticated, the Hub now returns a 401 error if a repo is not found (either because it does not exist or it is private).
This PR catches that and properly raises `RepoNotFoundError` in `get_from_cache` to be consistent with the previous behaviour.
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https://api.github.com/repos/huggingface/transformers/issues/17650 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17650/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17650/comments | https://api.github.com/repos/huggingface/transformers/issues/17650/events | https://github.com/huggingface/transformers/pull/17650 | 1,267,231,734 | PR_kwDOCUB6oc45c0QU | 17,650 | Rag end2end new | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"> Ok for me! Could we maybe though delete the commented out code?\r\n\r\nThanks a lot for the update. I did remove unwanted comments. Please let me know if I need to do anything more."
] | 1,654 | 1,655 | 1,655 | CONTRIBUTOR | null | # What does this PR do?
I revamped the **[rag-end2end-retriever](https://github.com/huggingface/transformers/tree/main/examples/research_projects/rag-end2end-retriever)** to be compatible with the latest versions of PL and RAY. This was requested by @aaronmueller.
@patrickvonplaten | {
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"I can reproduce, will try to fix this morning!"
] | 1,654 | 1,654 | 1,654 | NONE | null | ### System Info
```shell
- `transformers` version: 4.20.0.dev0
- Platform: Linux-5.4.0-113-generic-x86_64-with-glibc2.31
- Python version: 3.9.12
- Huggingface_hub version: 0.5.1
- PyTorch version (GPU?): 1.11.0 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_17648). All of your documentation changes will be reflected on that endpoint.",
"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... | 1,654 | 1,658 | 1,658 | CONTRIBUTOR | null | Having a hardcoded style of `width:600px` is overriding hf.co doc styles for images, which is causing an overflowing problem on mobile
| before | after |
|--------|-------|
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_17647). All of your documentation changes will be reflected on that endpoint."
] | 1,654 | 1,655 | 1,655 | COLLABORATOR | null | Reverts huggingface/transformers#17646
Test will fail for now, but one day, a hero will fix them and we can click the "Relaunch workflow from failed" button to see them passing, and we will be able to be merge this PR. | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,654 | 1,654 | 1,654 | COLLABORATOR | null | # What does this PR do?
There is an (hopefully temporary) bug on the Hub right now not returning the `RepoNotFoundError` when someone tries to hit a wrong repo. This PR skips all the tests relying on it until the bug is fixed so the main branch stays green and community contributors don't start getting strange error... | {
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] | 1,654 | 1,654 | 1,654 | CONTRIBUTOR | null | Bumps [cookiecutter](https://github.com/cookiecutter/cookiecutter) from 1.7.2 to 2.1.1.
<details>
<summary>Release notes</summary>
<p><em>Sourced from <a href="https://github.com/cookiecutter/cookiecutter/releases">cookiecutter's releases</a>.</em></p>
<blockquote>
<h2>2.1.1</h2>
<h2>Documentation updates</h2>
<ul>
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"the CI errors seem to be related to network failure, so ignoring these and merging."
] | 1,654 | 1,654 | 1,654 | CONTRIBUTOR | null | PR https://github.com/huggingface/transformers/pull/17138 introduced another issue: `torch.cpu` didn't exist till pt-1.10 | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"The test failures don't appear to be related to my PR BTW - I ran all the lints in the CONTRIBUTING guide...",
"test failures are unrelated"
] | 1,654 | 1,654 | 1,654 | CONTRIBUTOR | null | # What does this PR do?
I am working with constrained generation a lot and a I keep seeing this error typo.
This PR fixes it in order for the error message to be a little freindlier.
cc @patrickvonplaten
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thanks, @nickprock 😉. \r\nI fixed all the wrong parts.",
"Hi @lorenzobalzani!! Your translation looks perfect to me! I'm just asking if you could change \"assicurati di esserti autenticato su Hugging Face\" to be more gender-neutr... | 1,654 | 1,658 | 1,658 | CONTRIBUTOR | null | # What does this PR do?
Italian translation of run_scripts.mdx
See issue: gh-17459
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"_The documentation is not available anymore as the PR was closed or merged._",
"Good catch!",
"Thanks for fixing @stefan-it "
] | 1,654 | 1,655 | 1,655 | COLLABORATOR | null | Hi,
this PR introduces some fixes for the RemBERT documentation:
Python Codeblock fix for the configuration class. It is currently broken:
And now fixed with this PR:
![image](https://user-imag... | {
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https://api.github.com/repos/huggingface/transformers/issues/17640 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17640/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17640/comments | https://api.github.com/repos/huggingface/transformers/issues/17640/events | https://github.com/huggingface/transformers/pull/17640 | 1,266,548,515 | PR_kwDOCUB6oc45afvX | 17,640 | Add Italian translation of create_model.mdx and serialization.mdx | {
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"Hi @F02934 ❤️ Thanks for your contribution! The reason why the code does not pass the tests is related to the fact that the file you create with the translation must be called exactly by the name in the toctree under \"local:\", in this case in local it says create_a_model while your file is create_model.\r\n\r\nW... | 1,654 | 1,658 | 1,658 | CONTRIBUTOR | null | # What does this PR do?
Italian translation of create_model.mdx and serialization.mdx
Issues : #17459
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https://api.github.com/repos/huggingface/transformers/issues/17639 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17639/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17639/comments | https://api.github.com/repos/huggingface/transformers/issues/17639/events | https://github.com/huggingface/transformers/pull/17639 | 1,266,527,249 | PR_kwDOCUB6oc45abW3 | 17,639 | Add `BloomForSequenceClassification` and `BloomForTokenClassification` classes | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@patrickvonplaten @sgugger\r\n\r\nThis PR should be ready for review. \r\n\r\nThere are tests failing, but I am not sure why--I think I've looked at all the failing ones, and their failure seems to be unrelated to anything I changed ... | 1,654 | 1,655 | 1,655 | CONTRIBUTOR | null | # What does this PR do?
This PR adds 2 new classes for the BLOOM model with sequence classification and token classification heads. Mentioned briefly by me in PR #17474 .
We are planning to use the smaller BLOOM models for these tasks downstream in the Bigscience Multilingual Modeling WG, so we need these classes... | {
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https://api.github.com/repos/huggingface/transformers/issues/17638 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17638/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17638/comments | https://api.github.com/repos/huggingface/transformers/issues/17638/events | https://github.com/huggingface/transformers/pull/17638 | 1,266,434,368 | PR_kwDOCUB6oc45aHUk | 17,638 | Avoid GPU OOM for a TF Rag test | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Merged as the change is quite obvious and small + being approved by 1 maintainer."
] | 1,654 | 1,654 | 1,654 | COLLABORATOR | null | # What does this PR do?
After changing torch from `cu102` to `cu113`, the test `test_rag_token_generate_batch` on TF side causes GPU OOM.
This PR splits the batch into 2 batches to avoid this issue.
I can just run only 1 batch if you think it's better. | {
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https://api.github.com/repos/huggingface/transformers/issues/17637 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17637/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17637/comments | https://api.github.com/repos/huggingface/transformers/issues/17637/events | https://github.com/huggingface/transformers/pull/17637 | 1,266,411,528 | PR_kwDOCUB6oc45aCaT | 17,637 | Running a pipeline of `float16`. | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,654 | 1,654 | 1,654 | CONTRIBUTOR | null | # What does this PR do?
When we're preparing the tensors for CPU for postprocessing, we need
to upgrade the `float16` to `float32` since CPUs don't have instructions
for `[b]float16`.
<!--
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/17636 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17636/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17636/comments | https://api.github.com/repos/huggingface/transformers/issues/17636/events | https://github.com/huggingface/transformers/pull/17636 | 1,266,376,638 | PR_kwDOCUB6oc45Z66i | 17,636 | fix use_amp rename after pr 17138 | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Just add info: There are also 3 files in `examples/research_projects/` also use `self.amp`, but as @sgugger told me before, we should/could leave it.",
"I'm going to merge this before Sylvain gets a chance to look since it impacts ... | 1,654 | 1,654 | 1,654 | CONTRIBUTOR | null | PR https://github.com/huggingface/transformers/pull/17138 renamed `self.use_amp` to `self.use_cuda_amp` but didn't rename it everywhere so deepspeed tests were failing. This PR fixes a few missed bits.
@sgugger
cc: @ydshieh who reported this | {
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https://api.github.com/repos/huggingface/transformers/issues/17635 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17635/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17635/comments | https://api.github.com/repos/huggingface/transformers/issues/17635/events | https://github.com/huggingface/transformers/pull/17635 | 1,266,375,705 | PR_kwDOCUB6oc45Z6tx | 17,635 | Change no trainer image_classification test | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@sgugger I've addressed the speed concern in the test, but you won't actually see it show up due to a bug in the scheduler step recalculation. I'll open up another PR for that fix and then merge this one after that's done "
] | 1,654 | 1,655 | 1,655 | CONTRIBUTOR | null | # What does this PR do?
I noticed that this test has been failing for the last few months, and it's due to the fact that on a single GPU or CPU the tests pass (we hit 50% accuracy), but on multi GPU it's a hit or miss whether or not it does (each epoch/batch is either 50% or 0%, and we happen to miss that coin flip ... | {
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https://api.github.com/repos/huggingface/transformers/issues/17634 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17634/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17634/comments | https://api.github.com/repos/huggingface/transformers/issues/17634/events | https://github.com/huggingface/transformers/pull/17634 | 1,266,364,293 | PR_kwDOCUB6oc45Z4RX | 17,634 | fix tolerance for a bloom slow test | {
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"👍 Never assert equal float -> the result will be float too 😄 ",
"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,654 | 1,655 | 1,655 | CONTRIBUTOR | null | # What does this PR do?
FIxes a slow test that was ignored in the previous PR
- The number was not exactly equal due to some torch version mismatch when I did the tests on the DGX (when the test was designed) -> Note that the results of some operations are not similar across torch version compiled differently
- J... | {
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https://api.github.com/repos/huggingface/transformers/issues/17633 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17633/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17633/comments | https://api.github.com/repos/huggingface/transformers/issues/17633/events | https://github.com/huggingface/transformers/pull/17633 | 1,266,329,254 | PR_kwDOCUB6oc45ZwqR | 17,633 | Add skip logic for attentions test - Levit | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,654 | 1,654 | 1,654 | COLLABORATOR | null | # What does this PR do?
Adds logic to skip tests checking attentions as LeViT doesn't take `output_attentions` in its prediction call.
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](https... | {
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https://api.github.com/repos/huggingface/transformers/issues/17632 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17632/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17632/comments | https://api.github.com/repos/huggingface/transformers/issues/17632/events | https://github.com/huggingface/transformers/issues/17632 | 1,266,309,328 | I_kwDOCUB6oc5LeljQ | 17,632 | GPTNeoXForCausalLM examples fail to run | {
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"@zphang Would you be able to help us get this working? Thanks 🙏",
"I am using my own custom generate function and didn't have the invalid values problem, but I was also having issues with nonsensical generations that might possibly be related. I found that this was due to a mistake with caching the previous att... | 1,654 | 1,680 | 1,658 | NONE | null | ### System Info
```shell
- `transformers` version: 4.20.0.dev0
- Platform: Linux-5.13.0-44-generic-x86_64-with-glibc2.29
- Python version: 3.8.10
- Huggingface_hub version: 0.5.1
- PyTorch version (GPU?): 1.10.0+cu113 (True)
- Tensorflow version (GPU?): 2.6.0 (True)
- Flax version (CPU?/GPU?/TPU?): not installed... | {
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https://api.github.com/repos/huggingface/transformers/issues/17631 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17631/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17631/comments | https://api.github.com/repos/huggingface/transformers/issues/17631/events | https://github.com/huggingface/transformers/pull/17631 | 1,266,307,218 | PR_kwDOCUB6oc45Zr1a | 17,631 | Add Italian translation of sharing_custom_models.mdx | {
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"Hi @Xpiri! I think you are missing the title at the end of the section in the _toctree file:\r\n**title: How-to guides**",
"@Xpiri ! I also ask if you can edit a couple of things:\r\n- \"così che tutti possano usarlo\" I know it's usual to speak in the masculine when referring to the masses whose gender you don'... | 1,654 | 1,658 | 1,658 | CONTRIBUTOR | null | # What does this PR do?
Italian translation of sharing_custom_models.mdx
See issue: https://github.com/huggingface/transformers/issues/17459
## 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]... | {
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https://api.github.com/repos/huggingface/transformers/issues/17630 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17630/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17630/comments | https://api.github.com/repos/huggingface/transformers/issues/17630/events | https://github.com/huggingface/transformers/pull/17630 | 1,266,155,785 | PR_kwDOCUB6oc45ZKwe | 17,630 | Fix very long job failure text | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"FMI:\r\n\r\nNot urgent, but we also have to deal with other blocks, considering the failure below\r\nhttps://github.com/huggingface/transformers/actions/runs/2472383354\r\n\r\n(The summary might be too long when a commit introduces t... | 1,654 | 1,654 | 1,654 | COLLABORATOR | null | # What does this PR do?
Slack SDK have a limit of `3000` characters for "text" field. For some rare cases, we have very long test error trace.
See this [dummy job run](https://github.com/huggingface/transformers/runs/6753872641?check_suite_focus=true)
This PR tries to limit the length, so the report could be sen... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Awesome stuff :) @Yard1 could you help shepherd this PR?",
"@BramVanroy Hey this looks great! Looks like you only need to run black to reformat the files.",
"@richardliaw @Yard1 I can't manage to satisfy the quality checks (`doc-... | 1,654 | 1,655 | 1,655 | COLLABORATOR | null | # What does this PR do?
As discussed in https://github.com/huggingface/transformers/issues/16683, it often happens that you want more control over gridsearch. By default, Ray will run different trials with different hyperparameters, and then select the best one based on the loss (or other metric) of each trial's _fi... | {
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https://api.github.com/repos/huggingface/transformers/issues/17628 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17628/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17628/comments | https://api.github.com/repos/huggingface/transformers/issues/17628/events | https://github.com/huggingface/transformers/pull/17628 | 1,266,135,028 | PR_kwDOCUB6oc45ZGND | 17,628 | Move Clip image utils to image_utils.py | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Isn't this a breaking change? The CLIP method uses resize with `default_to_square=False`, right?\r\n\r\nYes, my mistake. Will fix it shortly!"
] | 1,654 | 1,655 | 1,654 | CONTRIBUTOR | null | - Use image_utils functions instead of duplicate functions in clip/feature_extraction_clip.py
- Move convert_rgb to image_utils.py
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https://api.github.com/repos/huggingface/transformers/issues/17627 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17627/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17627/comments | https://api.github.com/repos/huggingface/transformers/issues/17627/events | https://github.com/huggingface/transformers/pull/17627 | 1,266,104,493 | PR_kwDOCUB6oc45Y_nm | 17,627 | Add ONNX support for ConvNeXT | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,654 | 1,654 | 1,654 | 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.
Then, please replace this w... | {
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https://api.github.com/repos/huggingface/transformers/issues/17626 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17626/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17626/comments | https://api.github.com/repos/huggingface/transformers/issues/17626/events | https://github.com/huggingface/transformers/pull/17626 | 1,266,102,300 | PR_kwDOCUB6oc45Y_JB | 17,626 | Enable crop_center method to handle (W, H, C) images | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,654 | 1,654 | 1,654 | CONTRIBUTOR | null | - Enables crop_center image utility method to handle (W, H, C) and (C, W, H) images
- Added support to expand 2D / (W, H) image arrays to 3D / (C, W, H) shape
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https://api.github.com/repos/huggingface/transformers/issues/17625 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17625/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17625/comments | https://api.github.com/repos/huggingface/transformers/issues/17625/events | https://github.com/huggingface/transformers/pull/17625 | 1,266,091,271 | PR_kwDOCUB6oc45Y8wf | 17,625 | FX function refactor | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_17625). All of your documentation changes will be reflected on that endpoint."
] | 1,654 | 1,655 | 1,655 | MEMBER | null | # What does this PR do?
This PR just refactors some pieces of code that are useful in `symbolic_trace` so that they can be used as standalone functions, and in other libraries, for instance [here](https://github.com/huggingface/optimum/pull/216/files#diff-7b6db6e19d4646fd3712298b1abef6ab3ba778d9a9c411aed1d12599ec257... | {
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https://api.github.com/repos/huggingface/transformers/issues/17624 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17624/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17624/comments | https://api.github.com/repos/huggingface/transformers/issues/17624/events | https://github.com/huggingface/transformers/pull/17624 | 1,266,008,120 | PR_kwDOCUB6oc45Yqvn | 17,624 | Remove shape_list and use actual TF functions | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,654 | 1,654 | 1,654 | MEMBER | null | Oh god don't merge this one, I'm testing a codebase cleanup and seeing what breaks! | {
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https://api.github.com/repos/huggingface/transformers/issues/17623 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17623/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17623/comments | https://api.github.com/repos/huggingface/transformers/issues/17623/events | https://github.com/huggingface/transformers/pull/17623 | 1,265,924,510 | PR_kwDOCUB6oc45YYkL | 17,623 | Migrate HFDeepSpeedConfig from trfrs to accelerate | {
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"We discussed offline with Sourab on adding a few wrappers as static methods of `AcceleratorState` to make this code easier to read on the Transformers side :-)",
"My apologies @stas00 I was (wrongly) thinking the DeepSpeed API was still marked as experimental and therefore was okay with some small breaking chang... | 1,654 | 1,655 | 1,655 | CONTRIBUTOR | null | ### What does this PR do?
1. Migrates HFDeepSpeedConfig from transformers repo to accelerate repo as it is generic enough and specific bits remain in transformers.
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [co... | {
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https://api.github.com/repos/huggingface/transformers/issues/17622 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17622/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17622/comments | https://api.github.com/repos/huggingface/transformers/issues/17622/events | https://github.com/huggingface/transformers/pull/17622 | 1,265,797,289 | PR_kwDOCUB6oc45X9Y5 | 17,622 | Added it documentation for fast_tokenizers #17459 | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_17622). All of your documentation changes will be reflected on that endpoint.",
"Hi @andreafailla, I'm just taking a look at your PR. Can I ask you to change a little of thing? In the toctree please remove the quotation mar... | 1,654 | 1,659 | 1,659 | NONE | null | # What does this PR do?
Addresses #17459 with italian translation of fast_tokenizers.mdx
## 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.com/huggingface/transformers/blob... | {
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https://api.github.com/repos/huggingface/transformers/issues/17621 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17621/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17621/comments | https://api.github.com/repos/huggingface/transformers/issues/17621/events | https://github.com/huggingface/transformers/issues/17621 | 1,265,791,836 | I_kwDOCUB6oc5LcnNc | 17,621 | AttributeError: 'TFBertForQuestionAnswering' object has no attribute 'save_pretrained | {
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"I am sorry, I am new for git bug issue menu.\r\nbut I have no idea about [save_pretrained]",
"I saw https://huggingface.co/blog/tf-serving\r\n\r\nthis guide was used save_pretrained function.\r\n`from transformers import TFBertForSequenceClassification\r\n\r\nmodel = TFBertForSequenceClassification.from_pretrain... | 1,654 | 1,654 | 1,654 | NONE | null | ### System Info
```shell
I coding in Colab
```
### Who can help?
AttributeError Traceback (most recent call last)
<ipython-input-64-1a5b1a678c55> in <module>()
----> 4 model.save_pretrained('model_bert_20220609.pt')
AttributeError: 'TFBertForQuestionAnswering' object has no attribute... | {
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https://api.github.com/repos/huggingface/transformers/issues/17620 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17620/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17620/comments | https://api.github.com/repos/huggingface/transformers/issues/17620/events | https://github.com/huggingface/transformers/pull/17620 | 1,265,700,638 | PR_kwDOCUB6oc45XpDj | 17,620 | Ensure image feature extractors outputs pixel values of shape (batch_size, n_channels, height, width) | {
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"Hi, @alaradirik. Thank you for the (first) PR! I have a few suggestions here :-)\r\n\r\n1. It would be great if we could have a more descriptive PR title.\r\n2. Each PR should focus on a single issue.\r\n - **Unless** the issues are tightly coupled, and the changed really have to be done simultaneously otherwis... | 1,654 | 1,658 | 1,658 | CONTRIBUTOR | null | Fixes #15055 #17526
- center_crop in image_utils.py now can process numpy and torch images of shape (n_channels, height, width) and (height, width, n_channels), and returns cropped image of shape (n_channels, height, width).
- Fixed feature extractors that inherit from ImageFeatureExtractionMixin to always return ... | {
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https://api.github.com/repos/huggingface/transformers/issues/17619 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17619/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17619/comments | https://api.github.com/repos/huggingface/transformers/issues/17619/events | https://github.com/huggingface/transformers/pull/17619 | 1,265,589,390 | PR_kwDOCUB6oc45XRua | 17,619 | convert assertion to raised exception in debertav2 | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,654 | 1,654 | 1,654 | CONTRIBUTOR | null | # What does this PR do?
Replaces assert with ValueError as per https://github.com/huggingface/transformers/issues/12789.
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](https://github.com... | {
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https://api.github.com/repos/huggingface/transformers/issues/17618 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17618/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17618/comments | https://api.github.com/repos/huggingface/transformers/issues/17618/events | https://github.com/huggingface/transformers/issues/17618 | 1,265,582,065 | I_kwDOCUB6oc5Lbz_x | 17,618 | Add Checkpoint Loading from MLflow Model Registry | {
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"@sgugger this is linked to https://github.com/huggingface/transformers/pull/17686\r\n\r\nThe code I have working currently looks like \r\n\r\n```python\r\nimport os\r\nimport mlflow\r\nimport glob\r\n\r\n\r\ndef download_from_registry(src_path, dst_path):\r\n if not os.path.isdir(dst_path):\r\n os.mkdir(... | 1,654 | 1,658 | 1,658 | CONTRIBUTOR | null | ### Feature request
I would like the ability to pass a model URI that points to a model in an MLflow model registry then load a HuggingFace transformer directly from the registry.
### Motivation
Model versioning and lifecycle management is a common practice in MLOps so I think it makes sense for this to be a first-... | {
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https://api.github.com/repos/huggingface/transformers/issues/17617 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17617/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17617/comments | https://api.github.com/repos/huggingface/transformers/issues/17617/events | https://github.com/huggingface/transformers/pull/17617 | 1,265,578,603 | PR_kwDOCUB6oc45XPZm | 17,617 | add onnx support for deberta and debertav2 | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Hello @sam-h-bean, thanks for the PR; it looks nice! ",
"> Hi @sam-h-bean, thanks for contributing! The `OnnxConfig` of DeBERTa-V2 looks good to me. Can you also add it to the test [tests/onnx/test_onnx_v2.py](https://github.com/hu... | 1,654 | 1,655 | 1,655 | CONTRIBUTOR | null | # What does this PR do?
Details: Add ONNX Support for DeBERTa and DeBERTaV2.
Issue: https://github.com/huggingface/optimum/issues/207
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](http... | {
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https://api.github.com/repos/huggingface/transformers/issues/17616 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17616/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17616/comments | https://api.github.com/repos/huggingface/transformers/issues/17616/events | https://github.com/huggingface/transformers/issues/17616 | 1,265,450,063 | I_kwDOCUB6oc5LbTxP | 17,616 | Unable to run models bert/roberta/others w. FP16 | {
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"We could upcast the outputs to FP32 while transferring them back to CPU since most operations are not implemented in half on CPU. Wdyt @Narsil ?",
"Seems reasonable, is it no-op for already fp32 ?\r\n\r\nWe will probably check they are half though since some tensors might contain `int{8,32,64}` which we shouldn'... | 1,654 | 1,654 | 1,654 | CONTRIBUTOR | null | ### System Info
```shell
- `transformers` version: 4.19.2
- Platform: Linux-5.13.0-41-generic-x86_64-with-glibc2.29
- Python version: 3.8.10
- Huggingface_hub version: 0.5.1
- PyTorch version (GPU?): 1.11.0+cu113 (True)
- 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/17615 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17615/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17615/comments | https://api.github.com/repos/huggingface/transformers/issues/17615/events | https://github.com/huggingface/transformers/pull/17615 | 1,265,170,307 | PR_kwDOCUB6oc45V4dS | 17,615 | Translation/autoclass | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Hi @mfumanelli this period is a little strange:\r\n\r\nProducendo questo codice agnostico ai checkpoint significa che se il tuo codice funziona per un checkpoint, funzionerà anche per un altro checkpoint, purché sia stato allenato pe... | 1,654 | 1,654 | 1,654 | CONTRIBUTOR | null | # What does this PR do?
Italian translation of autoclass_tutorial.mdx
See issue: https://github.com/huggingface/transformers/issues/17459
## 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](... | {
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https://api.github.com/repos/huggingface/transformers/issues/17614 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17614/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17614/comments | https://api.github.com/repos/huggingface/transformers/issues/17614/events | https://github.com/huggingface/transformers/pull/17614 | 1,265,093,157 | PR_kwDOCUB6oc45Vny_ | 17,614 | [modeling_utils] torch_dtype/auto floating dtype fixes | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Probably good to merge now, right? "
] | 1,654 | 1,654 | 1,654 | CONTRIBUTOR | null | As reported in https://github.com/huggingface/transformers/issues/17583 not all model's have their first param of floating dtype, which lead to failures like:
```
$ python -c 'from transformers import AutoModel; AutoModel.from_pretrained("hf-internal-testing/tiny-bert-for-token-classification", torch_dtype="auto")'... | {
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https://api.github.com/repos/huggingface/transformers/issues/17613 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17613/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17613/comments | https://api.github.com/repos/huggingface/transformers/issues/17613/events | https://github.com/huggingface/transformers/issues/17613 | 1,265,061,770 | I_kwDOCUB6oc5LZ0-K | 17,613 | FX tracing of HubertForSequenceClassification fails with TypeError: 'HFProxy' object cannot be interpreted as an integer | {
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"Hi, this seems related to the model being in training mode, hence calling `transformers.models.hubert.modeling_hubert._compute_mask_indices`. The reason this is not caugh by the tests is because we are testing models in eval mode...\r\n\r\nAnyways, if you just need for inference purposes, doing `model.eval()` shou... | 1,654 | 1,658 | 1,658 | CONTRIBUTOR | null | ### System Info
```shell
current main branch, 4.20.0.dev0
```
### Who can help?
@mich
### Information
- [ ] The official example scripts
- [X] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or dataset (give details below)... | {
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https://api.github.com/repos/huggingface/transformers/issues/17612 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17612/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17612/comments | https://api.github.com/repos/huggingface/transformers/issues/17612/events | https://github.com/huggingface/transformers/pull/17612 | 1,264,993,673 | PR_kwDOCUB6oc45VSOJ | 17,612 | CLI: Print all different tensors on exception | {
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"> It might make more sense if it were called something like find_pt_tf_differences?\r\n\r\nIt makes total sense, thanks for the suggestion :D ",
"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,654 | 1,654 | 1,654 | MEMBER | null | # What does this PR do?
`pt-to-tf` CLI: instead of printing the maximum error and the corresponding tensor when the maximum error was above the defined threshold, prints ALL errors and their corresponding tensors.
Here's an example:
![image](https://user-images.githubusercontent.com/12240844/172666736-f0253a21-... | {
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https://api.github.com/repos/huggingface/transformers/issues/17611 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17611/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17611/comments | https://api.github.com/repos/huggingface/transformers/issues/17611/events | https://github.com/huggingface/transformers/issues/17611 | 1,264,955,622 | I_kwDOCUB6oc5LZbDm | 17,611 | SSLError: HTTPSConnectionPool(host='huggingface.co', port=443) | {
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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... | 1,654 | 1,706 | 1,660 | NONE | null | I'm trying in python:
from sentence_transformers import SentenceTransformer
sbert_model = SentenceTransformer('all-MiniLM-L6-v2')
and I get this error:
SSLError: HTTPSConnectionPool(host='huggingface.co', port=443): Max retries exceeded with url: /api/models/sentence-transformers/all-MiniLM-L6-v2 (Caused by S... | {
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https://api.github.com/repos/huggingface/transformers/issues/17610 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17610/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17610/comments | https://api.github.com/repos/huggingface/transformers/issues/17610/events | https://github.com/huggingface/transformers/pull/17610 | 1,264,939,892 | PR_kwDOCUB6oc45VGtA | 17,610 | Mention in the doc we drop support for fairscale | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,654 | 1,654 | 1,654 | COLLABORATOR | null | # What does this PR do?
As pointed out in #17599, it's not clear that we're not actively maintaining the FairScale integration anymore. This PR addesses that.
Fixes #17599 | {
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https://api.github.com/repos/huggingface/transformers/issues/17609 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17609/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17609/comments | https://api.github.com/repos/huggingface/transformers/issues/17609/events | https://github.com/huggingface/transformers/issues/17609 | 1,264,934,986 | I_kwDOCUB6oc5LZWBK | 17,609 | trocr model performs worse than unilm version | {
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"TrOCR use autoregressive generation method, so the text are generated progressively from left to right. This process is time consuming ,thus there is a default cutoff length.\r\n\r\nTo increase the length, you can add max_length=N argument inn `generated_ids = model.generate(pixel_values)`.",
"Hi, indeed, as men... | 1,654 | 1,655 | 1,655 | NONE | null | ### System Info
```shell
transformers 4.19.2, python 3.7
```
### 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, ...)
- [ ] My own task or dataset (give details... | {
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https://api.github.com/repos/huggingface/transformers/issues/17608 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17608/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17608/comments | https://api.github.com/repos/huggingface/transformers/issues/17608/events | https://github.com/huggingface/transformers/pull/17608 | 1,264,921,093 | PR_kwDOCUB6oc45VCu6 | 17,608 | Fix telemetry URL | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"lolz\r\n\r\nDid you still get a `200 OK` response?",
"I don't look at the response since the function never errors out (it's not supposed to screw up the script ;-) )",
"got it!"
] | 1,654 | 1,654 | 1,654 | COLLABORATOR | null | # What does this PR do?
I forgot the `api/` in the URL for the telemetry call. :grimacing: | {
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https://api.github.com/repos/huggingface/transformers/issues/17607 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17607/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17607/comments | https://api.github.com/repos/huggingface/transformers/issues/17607/events | https://github.com/huggingface/transformers/pull/17607 | 1,264,846,503 | PR_kwDOCUB6oc45Uy0a | 17,607 | Pre-build DeepSpeed | {
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"@stas00 \r\n\r\nI changed what you provided\r\n```\r\nDS_BUILD_CPU_ADAM=1 DS_BUILD_AIO=1 DS_BUILD_UTILS=1 pip install -e . \\\r\n--global-option=\"build_ext\" --global-option=\"-j8\"\r\n```\r\nto\r\n```\r\nDS_BUILD_CPU_ADAM=1 DS_BUILD_AIO=1 DS_BUILD_UTILS=1 python3 -m pip install deepspeed \\\r\n--global-option=\"... | 1,654 | 1,654 | 1,654 | COLLABORATOR | null | # What does this PR do?
Pre-build `DeepSpeed`, so the first deepspeed test won't timeout.
In the recent change, I installed it as `pip install deepspeed`, and we got a CI failure
```
# This one timed out
tests/deepspeed/test_deepspeed.py::TrainerIntegrationDeepSpeed::test_can_resume_training_normal_zero2_fp16
... | {
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https://api.github.com/repos/huggingface/transformers/issues/17606 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17606/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17606/comments | https://api.github.com/repos/huggingface/transformers/issues/17606/events | https://github.com/huggingface/transformers/pull/17606 | 1,264,759,791 | PR_kwDOCUB6oc45UgKh | 17,606 | Adding `top_k` argument to `text-classification` pipeline. | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"This PR should be cleaned up, it changed the behavior of the text classification pipeline and the documentation is not clear. Can we get more explanations about the way we should expect to modify the code to get the same behavior wit... | 1,654 | 1,664 | 1,654 | CONTRIBUTOR | null | # What does this PR do?
A lot of users are wondering why the API does not return results sorted.
This PR enables `transformers` to do that and enables functionnality
to users without causing any regression.
The API will simply override the default argument to get sorted results.
- Deprecate `return_all_scores` as `t... | {
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https://api.github.com/repos/huggingface/transformers/issues/17605 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17605/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17605/comments | https://api.github.com/repos/huggingface/transformers/issues/17605/events | https://github.com/huggingface/transformers/pull/17605 | 1,264,655,152 | PR_kwDOCUB6oc45UJeJ | 17,605 | CLI: Properly detect encoder-decoder models | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,654 | 1,654 | 1,654 | MEMBER | null | # What does this PR do?
Micro-PR that does what the title says. Some models have the encoder-decoder structure nested, and we now have access to the config file. | {
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https://api.github.com/repos/huggingface/transformers/issues/17604 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17604/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17604/comments | https://api.github.com/repos/huggingface/transformers/issues/17604/events | https://github.com/huggingface/transformers/issues/17604 | 1,264,542,614 | I_kwDOCUB6oc5LX2OW | 17,604 | OSError: Can't load config for 'bert-base-uncased'. If you were trying to load it from 'https://huggingface.co/models', make sure you don't have a local directory with the same name. Otherwise, make sure 'bert-base-uncased' is the correct path to a directory containing a config.json file | {
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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... | 1,654 | 1,658 | 1,658 | NONE | null | ### System Info
```shell
This is my code, simple:
import torch
tokenizer = torch.hub.load('huggingface/pytorch-transformers', 'tokenizer', 'bert-base-uncased') # Download vocabulary from S3 and cache.
tokenizer = torch.hub.load('huggingface/pytorch-transformers', 'tokenizer', './test/bert_saved_model/') # E.g... | {
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https://api.github.com/repos/huggingface/transformers/issues/17603 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17603/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17603/comments | https://api.github.com/repos/huggingface/transformers/issues/17603/events | https://github.com/huggingface/transformers/pull/17603 | 1,264,449,012 | PR_kwDOCUB6oc45Tc7x | 17,603 | adding encoder/decoder normalize_before to BART models | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Hmmm not really in favor of this PR as it will greatly reduce readability IMO and does not correspond to the official BART implementation. \r\n\r\n@sgugger @LysandreJik what are your thoughts here? ",
"@patrickvonplaten I'm open to... | 1,654 | 1,654 | 1,654 | CONTRIBUTOR | null | # What does this PR do?
This PR adds `encoder_normalize_before` and `decoder_normalize_before` parameters to BART models. These parameters control whether or not the `nn.LayerNorm` is applied before each block in the encoder/decoder (not used by all models -- often helps the model learn).
These parameters are alr... | {
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https://api.github.com/repos/huggingface/transformers/issues/17602 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17602/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17602/comments | https://api.github.com/repos/huggingface/transformers/issues/17602/events | https://github.com/huggingface/transformers/pull/17602 | 1,264,353,064 | PR_kwDOCUB6oc45TIjN | 17,602 | Fix link for community notebooks | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,654 | 1,654 | 1,654 | CONTRIBUTOR | null | Fix the link due to the reorganization.
@sgugger @LysandreJik @julien-c | {
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https://api.github.com/repos/huggingface/transformers/issues/17601 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17601/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17601/comments | https://api.github.com/repos/huggingface/transformers/issues/17601/events | https://github.com/huggingface/transformers/issues/17601 | 1,264,327,995 | I_kwDOCUB6oc5LXB07 | 17,601 | Error with inferencing with fine-tuned model loaded from keras load_model | {
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"Hi @jamie0725 👋 Thank you for raising this issue. We are aware of problems like this, related to serialization/deserialization of Keras models, and it is in our plans to fix it.\r\n\r\nI'm keeping the issue open for tracking purposes :)",
"> Hi @jamie0725 👋 Thank you for raising this issue. We are aware of pr... | 1,654 | 1,658 | 1,658 | NONE | null | ### System Info
```shell
transformers version: 4.16.2
tensorflow version: 2.9.1
```
### Who can help?
@gante
### Information
- [ ] The official example scripts
- [X] My own modified scripts
### Tasks
- [X] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ]... | {
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https://api.github.com/repos/huggingface/transformers/issues/17600 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17600/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17600/comments | https://api.github.com/repos/huggingface/transformers/issues/17600/events | https://github.com/huggingface/transformers/pull/17600 | 1,264,276,211 | PR_kwDOCUB6oc45S4Pp | 17,600 | Added preprocessing.mdx italian translation | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Hi @nickprock! Thank you for this translation 🚀🚀\r\nCan I ask you if you can edit these things?\r\n- Un modello non comprende il testo piano --> un modello non comprende un testo grezzo\r\n- CLS and SEP (classifier and separator) ... | 1,654 | 1,658 | 1,658 | CONTRIBUTOR | null | ## What does this PR do?
Italian translation of doc related to the preprocessing of :hugs: Transformers.
* updated _toctree.yml
* added preprocessing.mdx
## 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 [contribu... | {
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https://api.github.com/repos/huggingface/transformers/issues/17599 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17599/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17599/comments | https://api.github.com/repos/huggingface/transformers/issues/17599/events | https://github.com/huggingface/transformers/issues/17599 | 1,264,164,008 | I_kwDOCUB6oc5LWZyo | 17,599 | sharded_ddp with auto_wrap is secretly a no-op | {
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"We don't really support fairscale sharded ddp anymore. You should switch to the newer native FSDP integration which we support (doc is [here](https://huggingface.co/docs/transformers/main_classes/trainer#pytorch-fully-sharded-data-parallel)).",
"Thanks for the response.\r\nI only mean to say, that it would be gr... | 1,654 | 1,654 | 1,654 | CONTRIBUTOR | null | ### System Info
```shell
transformers 26e5e129b43760138aed2dfc1cc3c75b481a95e6
torch 1.11.0
fairscale 0.4.6
```
### Who can help?
@sgugger
### Information
- [X] The official example scripts
- [ ] My own modified scripts
### Tasks
- [x] An officially supported task in the `examples` folder (... | {
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https://api.github.com/repos/huggingface/transformers/issues/17598 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17598/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17598/comments | https://api.github.com/repos/huggingface/transformers/issues/17598/events | https://github.com/huggingface/transformers/pull/17598 | 1,264,162,431 | PR_kwDOCUB6oc45SgJL | 17,598 | [WIP] Fix `assert` statements found in modeling files | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_17598). All of your documentation changes will be reflected on that endpoint.",
"Can you solve the merge conflicts? This should re-trigger the CI and we will see if the errors persist (there were some outage on the Hub this... | 1,654 | 1,658 | 1,658 | CONTRIBUTOR | null | # What does this PR do?
Fixing unnecessary `assert` statements under modeling code. This was motivated by the fact that contributing to `transformers` often requires a lot of copying from existing code, and while `assert` statements are [undesirable in new PRs](https://github.com/huggingface/transformers/pull/16402#... | {
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https://api.github.com/repos/huggingface/transformers/issues/17597 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17597/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17597/comments | https://api.github.com/repos/huggingface/transformers/issues/17597/events | https://github.com/huggingface/transformers/pull/17597 | 1,264,133,716 | PR_kwDOCUB6oc45SaLU | 17,597 | Translation/preprocessing: update | {
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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.
Then, please replace this w... | {
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"Hey @danielhoshizaki, Can I join you?",
"@danielhoshizaki , I would love to contribute for this new model.",
"Thanks for offering to help and sorry about the late response.\r\nI'm going to have a go at this model and if I need any help I will let you know.",
"Sure @danielhoshizaki ",
"anyone working on thi... | 1,654 | 1,690 | 1,690 | NONE | null | ### Model description
I would like to add the[ Pyramid Vision Transformer model](https://arxiv.org/abs/2102.12122).
#### Paper Abstract
Pyramid Vision Transformer~(PVT), has several merits compared to prior arts. (1) Different from ViT that typically has low-resolution outputs and high computational and memory cos... | {
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https://api.github.com/repos/huggingface/transformers/issues/17595 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17595/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17595/comments | https://api.github.com/repos/huggingface/transformers/issues/17595/events | https://github.com/huggingface/transformers/issues/17595 | 1,263,862,203 | I_kwDOCUB6oc5LVQG7 | 17,595 | BigBird tokenizer - special tokens not being masked during MLM | {
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"Thank you reporting this, @prajwal967 \r\n\r\n@SaulLu @Narsil \r\n\r\nI tried with the following example (adapted from @prajwal967 ), and it looks like this issue happens for `BigBirdTokenizerFast`, but not `BigBirdTokenizer`. \r\n\r\nCould you take a look on this issue, please? Are you aware of this issue (potent... | 1,654 | 1,658 | 1,658 | CONTRIBUTOR | null | ### System Info
```shell
- `transformers` version: 4.17.0
- Platform: Linux-4.15.0-176-generic-x86_64-with-glibc2.27
- Python version: 3.9.12
- PyTorch version (GPU?): 1.10.0 (True)
- Tensorflow version (GPU?): 2.7.0 (True)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not installed
- Ja... | {
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https://api.github.com/repos/huggingface/transformers/issues/17594 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17594/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17594/comments | https://api.github.com/repos/huggingface/transformers/issues/17594/events | https://github.com/huggingface/transformers/issues/17594 | 1,263,839,063 | I_kwDOCUB6oc5LVKdX | 17,594 | Summarization output different when using pipelines and the on-website inference engine. | {
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"Hi @anchit-sadana ,\r\n\r\nI couldn't load your colab (invalid credentials)\r\n\r\nSummarization is not deterministic by default, so results are not always identical.\r\n\r\nIf you want identical results you can use `do_sample=False` parameter.\r\n```python\r\npipe = pipeline(...)\r\nout = pipe(text, do_sample=Fal... | 1,654 | 1,654 | 1,654 | NONE | null | ### System Info
```shell
- `transformers` version: 4.19.2
- Platform: Linux-5.4.188+-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.7.13
- Huggingface_hub version: 0.7.0
- PyTorch version (GPU?): 1.11.0+cu113 (False)
- Tensorflow version (GPU?): 2.8.2 (False)
- Flax version (CPU?/GPU?/TPU?): not installe... | {
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https://api.github.com/repos/huggingface/transformers/issues/17593 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17593/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17593/comments | https://api.github.com/repos/huggingface/transformers/issues/17593/events | https://github.com/huggingface/transformers/pull/17593 | 1,263,671,958 | PR_kwDOCUB6oc45Q3j1 | 17,593 | TF: Merge PT and TF behavior for Bart when no decoder_input_ids are passed | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,654 | 1,654 | 1,654 | MEMBER | null | # What does this PR do?
The main model for TF and PT have a different behavior when no `decoder_input_ids` are passed. Because of that, the same model with the same inputs has different outputs in the two platforms, in this specific input case.
Looking at the git blame, it seems like [this](https://github.com/hug... | {
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https://api.github.com/repos/huggingface/transformers/issues/17592 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17592/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17592/comments | https://api.github.com/repos/huggingface/transformers/issues/17592/events | https://github.com/huggingface/transformers/pull/17592 | 1,263,588,036 | PR_kwDOCUB6oc45QlT5 | 17,592 | Fix tokenizer type annotation | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_17592). All of your documentation changes will be reflected on that endpoint.",
"Could we put it in brackets, so that the import of the class isn't necessary? IDEs will still get it right, and as we want users to be able to... | 1,654 | 1,658 | 1,658 | CONTRIBUTOR | null | It should probably accept either `PreTrainedTokenizer` or `PreTrainedTokenizerFast`.
# What does this PR do?
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"_The documentation is not available anymore as the PR was closed or merged._",
"(Also, I re-read the line I was complaining about and it's actually fine, just a little unclear, so I deleted that comment)"
] | 1,654 | 1,654 | 1,654 | COLLABORATOR | null | # What does this PR do?
Refactors some logic in the Swin model to enable `model.fit` calls with a `tf.data.BatchDataset` datasets i.e. datasets returned from `to_tf_dataset` called with `batch_size` argument set, and a common dataset type in TF workflows.
**Changes**
* `.shape` calls are replaced with `shape_li... | {
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https://api.github.com/repos/huggingface/transformers/issues/17590 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17590/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17590/comments | https://api.github.com/repos/huggingface/transformers/issues/17590/events | https://github.com/huggingface/transformers/issues/17590 | 1,263,567,976 | I_kwDOCUB6oc5LUIRo | 17,590 | TrainingArguments with pytorch on Mac: AttributeError: module 'torch.distributed' has no attribute 'is_initialized' | {
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"This has been fixed already, you should try again on the latest version.",
"Thank you, upgrading to 4.19.2 worked.",
"Great to hear!"
] | 1,654 | 1,654 | 1,654 | NONE | null | ### System Info
```shell
macOS 12.4 running on Apple silicon
python 3.9.0 h4b4120c_5_cpython conda-forge
transformers 4.18.0 py39hca03da5_0
pytorch 1.10.2 cpu_py39h23cb94c_0
```
### Who can help?
@sgugger
### Information
- [X... | {
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https://api.github.com/repos/huggingface/transformers/issues/17589 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17589/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17589/comments | https://api.github.com/repos/huggingface/transformers/issues/17589/events | https://github.com/huggingface/transformers/pull/17589 | 1,263,521,578 | PR_kwDOCUB6oc45QWzd | 17,589 | Update MT5Config (`is_gated_act`) | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@patrickvonplaten You forgot to edit the title during merge and it became `fix` in the commit page. No worry, just to be a bit bit slower next time 🙏 Thank you :-)"
] | 1,654 | 1,662 | 1,654 | COLLABORATOR | null | # What does this PR do?
Update MT5Config (`is_gated_act`). Fix #17578. (Just copy-paste from `T5Config`) | {
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https://api.github.com/repos/huggingface/transformers/issues/17588 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17588/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17588/comments | https://api.github.com/repos/huggingface/transformers/issues/17588/events | https://github.com/huggingface/transformers/pull/17588 | 1,263,517,038 | PR_kwDOCUB6oc45QV0R | 17,588 | CLI: add stricter automatic checks to `pt-to-tf` | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"LGTM, just a few nits if they make sense.\r\nIt's indeed very important regarding the `head`, great catch, @gante !\r\n"
] | 1,654 | 1,654 | 1,654 | MEMBER | null | # What does this PR do?
Last week I introduced the `pt-to-tf` CLI (https://github.com/huggingface/transformers/pull/17497), enabling automatic weight conversion followed by PR opening.
This PR makes four changes related to that CLI:
1. Uses the appropriate model class to load the model, to ensure the head's weig... | {
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https://api.github.com/repos/huggingface/transformers/issues/17587 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17587/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17587/comments | https://api.github.com/repos/huggingface/transformers/issues/17587/events | https://github.com/huggingface/transformers/pull/17587 | 1,263,454,453 | PR_kwDOCUB6oc45QIW0 | 17,587 | [CLIP] Add padding embeddings | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Nevermind, had to rewrite the whole attention layer for GLIDE anyway, so I'll just add a new model"
] | 1,654 | 1,654 | 1,654 | MEMBER | null | # What does this PR do?
This PR adds optional per-token padding embeddings (not the usual kind of padding, these are closer to postion embeddings in implementation).
These are needed to convert GLIDE text encoders: https://github.com/openai/glide-text2im/blob/18bf97a07446874693263715af6a73a09cbe81e2/glide_text2im... | {
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https://api.github.com/repos/huggingface/transformers/issues/17586 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17586/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17586/comments | https://api.github.com/repos/huggingface/transformers/issues/17586/events | https://github.com/huggingface/transformers/pull/17586 | 1,263,258,029 | PR_kwDOCUB6oc45Pd0H | 17,586 | Explicit versions in docker files | {
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"@stas00 \r\n\r\nDo you think we can keep `pip install torch` (latest release), and for 3rd party libraries, we use explicit versions?\r\n(of course, we still need to update them when they have new releases)\r\n\r\nOr you really prefer to set all of them (including `torch`) explicitly in docker file, and we update ... | 1,654 | 1,654 | 1,654 | COLLABORATOR | null | # What does this PR do?
@stas00 Here is the thread to discuss the version things in docker files.
- Objective:
- We have more 3rd party libraries that depend on PyTorch version
- Some of them need explicit versions, instead of using something like `$PYTORCH_VER`. For example, we have [1.11.200](https://ww... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Ah sorry I didn't see this PR. I will refer to it in the description of this one.\n\nThanks for the review and what I forgot @lewtun, that's very helpful because that's the 1st model I add to our base of ONNX models :) \n\nI'll be of... | 1,654 | 1,654 | 1,654 | CONTRIBUTOR | null | # 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... | 1,654 | 1,664 | 1,664 | NONE | null | ### Feature request
Is there any possibility that we can convert gpt-neox to onnx using transformer library?
### Motivation
onnx model will be faster.
### Your contribution
- | {
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https://api.github.com/repos/huggingface/transformers/issues/17583 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17583/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17583/comments | https://api.github.com/repos/huggingface/transformers/issues/17583/events | https://github.com/huggingface/transformers/issues/17583 | 1,262,969,810 | I_kwDOCUB6oc5LR2PS | 17,583 | Probable bug with `torch_dtype="auto"` | {
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"cc @stas00 @sgugger ",
"`torch_dtype=\"auto\"` does not look at the config, but looks at the first parameter (which is also what the config saves automatically FYI). In both cases we should probably ignore the first parameter if it has an int dtype and loop until we get to a float or to the end (for quantized mo... | 1,654 | 1,654 | 1,654 | CONTRIBUTOR | null | ### System Info
```shell
- `transformers` version: 4.20.0.dev0
- Platform: Linux-5.17.8-arch1-1-x86_64-with-glibc2.35
- Python version: 3.9.10
- Huggingface_hub version: 0.4.0
- PyTorch version (GPU?): 1.10.2+cu113 (True)
- Tensorflow version (GPU?): 2.8.0 (False)
- Flax version (CPU?/GPU?/TPU?): 0.4.0 (cpu)
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https://api.github.com/repos/huggingface/transformers/issues/17582 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17582/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17582/comments | https://api.github.com/repos/huggingface/transformers/issues/17582/events | https://github.com/huggingface/transformers/issues/17582 | 1,262,896,743 | I_kwDOCUB6oc5LRkZn | 17,582 | Loading repository after rename does not work (with old name) | {
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"We have since the issue was opened here duplicated some of the most used repositories and re-uploaded them. The above code example will therefore work now (because we duplicated the repo). \r\n\r\nHere is a fresh example of a transferred repository we haven't manually duplicated to replicate the redirection error:... | 1,654 | 1,660 | null | MEMBER | null | ### System Info
```shell
- `transformers` version: 4.19.2
- Platform: Linux-5.4.188+-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.7.13
- Huggingface_hub version: 0.7.0
- PyTorch version (GPU?): 1.11.0+cu113 (False)
- Tensorflow version (GPU?): 2.8.2 (False)
- Flax version (CPU?/GPU?/TPU?): not installed (... | {
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https://api.github.com/repos/huggingface/transformers/issues/17581 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17581/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17581/comments | https://api.github.com/repos/huggingface/transformers/issues/17581/events | https://github.com/huggingface/transformers/issues/17581 | 1,262,884,194 | I_kwDOCUB6oc5LRhVi | 17,581 | could not run distribution cpu training on two CPU sockets using miprun | {
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```shell
- `transformers` version: 4.20.0.dev0
- Platform: Linux-5.8.0-43-generic-x86_64-with-glibc2.29
- Python version: 3.8.10
- Huggingface_hub version: 0.7.0
- PyTorch version (GPU?): 1.11.0+cu113 (True)
- Tensorflow version (GPU?): 2.9.1 (False)
- Flax version (CPU?/GPU?/TPU?): 0.5.0 (cpu)
... | {
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https://api.github.com/repos/huggingface/transformers/issues/17580 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17580/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17580/comments | https://api.github.com/repos/huggingface/transformers/issues/17580/events | https://github.com/huggingface/transformers/issues/17580 | 1,262,732,268 | I_kwDOCUB6oc5LQ8Ps | 17,580 | resize_token_embeddings in BartForConditionalGeneration doesn't change lm_head size | {
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"I am wrong about this issue.\r\nIt works fine."
] | 1,654 | 1,655 | 1,655 | NONE | null | ### System Info
```shell
- `transformers` version: 4.19.2
- Platform: Windows-10-10.0.19041-SP0
- Python version: 3.7.6
- Huggingface_hub version: 0.1.2
- PyTorch version (GPU?): 1.11.0+cu113 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version... | {
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https://api.github.com/repos/huggingface/transformers/issues/17579 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17579/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17579/comments | https://api.github.com/repos/huggingface/transformers/issues/17579/events | https://github.com/huggingface/transformers/issues/17579 | 1,262,642,529 | I_kwDOCUB6oc5LQmVh | 17,579 | Enabling vilt and flava auto feature extractor. | {
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"ViLT is going to be added in #17286 ",
"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... | 1,654 | 1,660 | 1,657 | NONE | null | ### System Info
```shell
File ~/anaconda3/envs/vqa/lib/python3.8/site-packages/transformers/models/auto/feature_extraction_auto.py:163, in AutoFeatureExtractor.from_pretrained(cls, pretrained_model_name_or_path, **kwargs)
161 if not is_feature_extraction_file and (has_local_config or not is_directory):
162 ... | {
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https://api.github.com/repos/huggingface/transformers/issues/17578 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17578/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17578/comments | https://api.github.com/repos/huggingface/transformers/issues/17578/events | https://github.com/huggingface/transformers/issues/17578 | 1,262,583,189 | I_kwDOCUB6oc5LQX2V | 17,578 | MT5Model(MT5Config()) fails with AttributeError: 'MT5Config' object has no attribute 'is_gated_act' | {
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"I think it was introduced in https://github.com/huggingface/transformers/pull/17420",
"cc @patil-suraj as well.\r\nIt would also be interesting to understand how it was not caught by any of the tests."
] | 1,654 | 1,654 | 1,654 | CONTRIBUTOR | null | ### System Info
```shell
current main branch, 4.20.0.dev0
```
### Who can help?
@patrickvonplaten @sgugger
### Information
- [ ] The official example scripts
- [X] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My ... | {
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https://api.github.com/repos/huggingface/transformers/issues/17577 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17577/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17577/comments | https://api.github.com/repos/huggingface/transformers/issues/17577/events | https://github.com/huggingface/transformers/pull/17577 | 1,262,376,503 | PR_kwDOCUB6oc45Mgut | 17,577 | Fix circular import in onnx.utils | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,654 | 1,654 | 1,654 | COLLABORATOR | null | # What does this PR do?
This PR fixes the circular import in `onnx.utils` that one can experiment right now with:
```py
from transformers.onnx import OnnxConfig
```
It comes form the fact that `onnx.utils` imports `AutoProcessor`, `AutoFeatureExtractor` and `AutoTokenizer`, which then requires all models to be... | {
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https://api.github.com/repos/huggingface/transformers/issues/17576 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17576/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17576/comments | https://api.github.com/repos/huggingface/transformers/issues/17576/events | https://github.com/huggingface/transformers/pull/17576 | 1,262,323,341 | PR_kwDOCUB6oc45MUye | 17,576 | Remove circular imports in layoutlm/__init__.py | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"That's not an acceptable solution to the problem. Those are not unused imports, but what make the objects accessible in the main init of Transformers.\r\n\r\nWill have a deeper look into this.",
"No problem, sounds good!"
] | 1,654 | 1,654 | 1,654 | CONTRIBUTOR | null | # What does this PR do?
<!--
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Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
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https://api.github.com/repos/huggingface/transformers/issues/17575 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17575/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17575/comments | https://api.github.com/repos/huggingface/transformers/issues/17575/events | https://github.com/huggingface/transformers/pull/17575 | 1,262,026,891 | PR_kwDOCUB6oc45LTvJ | 17,575 | Enable auto device map for GPT-NeoX | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,654 | 1,655 | 1,655 | CONTRIBUTOR | null | I'm guessing that the intention was to have the `_no_split_modules` class attribute for `GPTNeoXPreTrainedModel` to be set to `["GPTNeoXLayer"]`, akin to how its set as `["GPTJBlock"]` for `GPTJPreTrainedModel`.
If this is incorrect, please feel free to just close the PR.
Thanks!
# What does this PR do?
<!-... | {
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