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https://api.github.com/repos/huggingface/transformers/issues/14756 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14756/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14756/comments | https://api.github.com/repos/huggingface/transformers/issues/14756/events | https://github.com/huggingface/transformers/pull/14756 | 1,079,115,647 | PR_kwDOCUB6oc4vykmJ | 14,756 | Add an argument to set bucket_cap_mb for PyTorch DDP | {
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"There is just the formatting issue to deal with before we can merge. Can you run `make style` on your branch to fix it?\r\nThanks!",
"Done - thanks for the review!",
"Mmm, are you sure you installed the proper versions of the formatting tools with `pip install transformers[dev]` or `pip install transformers[qu... | 1,639 | 1,640 | 1,640 | CONTRIBUTOR | null | # What does this PR do?
`bucket_cap_mb` determines the bucket size that PyTorch's `DistributedDataParallel` will group gradient parameters in. In some occasions, tuning this parameter will have significant impact on the distributed training performance. This PR allows user to change the `bucket_cap_mb` parameter via... | {
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"Merging since it will fix the doc on master and is fairly straightforward."
] | 1,639 | 1,639 | 1,639 | COLLABORATOR | null | # What does this PR do?
This PR adds the missing pages in the table of contents, found thanks to [doc-builder#54](https://github.com/huggingface/doc-builder/pull/54). | {
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"so where can I see it rendered?\r\n\r\nin the past it was possible to see the doc as it was built on CI - I don't seem to be able to find the same in this new incarnation. ",
"Tested it manually by saving the html and editing it as you proposed. It's probably safe to assume everybody uses modern browsers these d... | 1,639 | 1,639 | 1,639 | COLLABORATOR | null | # What does this PR do?
The PR evolved to having a little compact section for old links, see this comment for a demo:
https://github.com/huggingface/transformers/pull/14754#issuecomment-995067459
----------------
This follows up from a [#14753 comment](https://github.com/huggingface/transformers/pull/14753#di... | {
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The `doc-builder` only resolves `ref` when they point to sections in the same page, so this PR fixes #14730 by converting the doc page to MarkDown and fixing all links. In passing, it removes mention of the `TFTrainer` which is now deprecated. | {
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"Is this leveraging PR https://github.com/huggingface/tokenizers/pull/844 that was just merged in `tokenizers` ? I believe it isn't part of a version yet, right?\r\n\r\nOr is this meant as a patch on top of the current tokenizers version?",
"@LysandreJik, you do raise an important point.\r\n\r\nThis PR only propo... | 1,639 | 1,640 | 1,640 | CONTRIBUTOR | null | # What does this PR do?
Roberta's tokenizer fast has `add_prefix_space` and `trim_offsets` as arguments. It seems to me that these last 2 arguments should be updated accordingly in the post processor `RobertaProcessing` of its `backend_tokenizer`.
This PR proposes to automate this update with a strategy similar ... | {
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"Got approval from Lysandre offline so merging."
] | 1,639 | 1,639 | 1,639 | COLLABORATOR | null | # What does this PR do?
This removes the index.rst (left by mistake) and changes the branch for the installation of doc-builder (needs to be merged after the corresponding PR is merged on doc-builder). | {
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This PR removes the need for the hard-coded `d_model` attribute of the Perceiver. Instead, one calculates the dimensionality (i.e. number of channels) of the inputs based on the `num_channels` property of the preprocessor.
Note that `d_model` is still relevant for users 1) when embedding t... | {
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"Merging this :)"
] | 1,639 | 1,640 | 1,640 | CONTRIBUTOR | null | # What does this PR do?
Fix slow tests in MLuke/Luke (https://github.com/huggingface/transformers/pull/14690).
* Replace tokenizers to dummy tokenizers in `MLukeTokenizerTest/LukeTokenizerTest`.
* Add a missing entry in toctree.
## Who can review?
@sgugger @NielsRogge
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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/master/CONTRIBUTING.md)... | 1,639 | 1,642 | 1,642 | 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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Fix load config of XLNET.
Fixes #14736
## Who can review?
@patrickvonplaten
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https://api.github.com/repos/huggingface/transformers/issues/14745 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14745/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14745/comments | https://api.github.com/repos/huggingface/transformers/issues/14745/events | https://github.com/huggingface/transformers/pull/14745 | 1,078,511,185 | PR_kwDOCUB6oc4vwiLC | 14,745 | Skip Perceiver tests | {
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https://api.github.com/repos/huggingface/transformers/issues/14744 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14744/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14744/comments | https://api.github.com/repos/huggingface/transformers/issues/14744/events | https://github.com/huggingface/transformers/pull/14744 | 1,078,476,311 | PR_kwDOCUB6oc4vwavD | 14,744 | Deprecates AdamW and adds `--optim` | {
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"@sgugger Thank you for the suggestions. I think an enum makes sense. I will add that and fix the missing `optimizer_cls` line.",
"@manuelciosici. have we lost you or are you just on an extended vacation? \r\n\r\nLet's finish this up, so we can test out various optimizers. I will sync the recent changes in doc fo... | 1,639 | 1,642 | 1,642 | CONTRIBUTOR | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/14743 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14743/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14743/comments | https://api.github.com/repos/huggingface/transformers/issues/14743/events | https://github.com/huggingface/transformers/issues/14743 | 1,078,360,625 | I_kwDOCUB6oc5ARnox | 14,743 | Batch size affecting output when using GPT2Model | {
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"Hello! I ran your code sample on CPU and got the following results:\r\n```\r\ntensor([[0., 0., 0., ..., 0., 0., 0.],\r\n [0., 0., 0., ..., 0., 0., 0.],\r\n [0., 0., 0., ..., 0., 0., 0.],\r\n [0., 0., 0., ..., 0., 0., 0.],\r\n [0., 0., 0., ..., 0., 0., 0.]], grad_fn=<SubBackward0>)\... | 1,639 | 1,646 | 1,646 | NONE | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version:
- Platform: 4.12.5
- Python version: Python 3.8.12
- PyTorch version (GPU?): 1.10.0 (GPU)
- Tensorflow vers... | {
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https://api.github.com/repos/huggingface/transformers/issues/14742 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14742/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14742/comments | https://api.github.com/repos/huggingface/transformers/issues/14742/events | https://github.com/huggingface/transformers/pull/14742 | 1,078,295,524 | PR_kwDOCUB6oc4vvz2J | 14,742 | Swap TF and PT code inside two blocks | {
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<!--
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https://api.github.com/repos/huggingface/transformers/issues/14741 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14741/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14741/comments | https://api.github.com/repos/huggingface/transformers/issues/14741/events | https://github.com/huggingface/transformers/issues/14741 | 1,078,288,654 | I_kwDOCUB6oc5ARWEO | 14,741 | TF and PT code confuse in the documentation | {
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"Thanks again for fixing it!"
] | 1,639 | 1,639 | 1,639 | CONTRIBUTOR | null | Hi, @sgugger, at [quicktour.mdx#L337](https://github.com/huggingface/transformers/blame/5eca742f6c0e513d8c7d8085fd14b7a754ea96f7/docs/source/quicktour.mdx#L337) and [quicktour.mdx#L345](https://github.com/huggingface/transformers/blame/5eca742f6c0e513d8c7d8085fd14b7a754ea96f7/docs/source/quicktour.mdx#L345), TF code wa... | {
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https://api.github.com/repos/huggingface/transformers/issues/14740 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14740/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14740/comments | https://api.github.com/repos/huggingface/transformers/issues/14740/events | https://github.com/huggingface/transformers/pull/14740 | 1,078,285,017 | PR_kwDOCUB6oc4vvxsK | 14,740 | add support to DistilBertLMHeadModel | {
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"Thanks for the PR! There's a similar PR here #11085, which is almost complete, so let's wait for the author to see if he's still interested to finish it :) ",
"> Thanks for the PR! There's a similar PR here #11085, which is almost complete, so let's wait for the author to see if he's still interested to finish i... | 1,639 | 1,642 | 1,642 | NONE | null | # What does this PR do?
Fixes #14737
Goal: Add support to DistilBertLMHeadModel
Changes:
1. Modified [modeling_distilbert.py](https://github.com/huggingface/transformers/blob/master/src/transformers/models/distilbert/modeling_distilbert.py): Changed `MultiHeadSelfAttention`, `Transformer`, `TransformerBlock` ... | {
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https://api.github.com/repos/huggingface/transformers/issues/14739 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14739/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14739/comments | https://api.github.com/repos/huggingface/transformers/issues/14739/events | https://github.com/huggingface/transformers/pull/14739 | 1,078,284,442 | PR_kwDOCUB6oc4vvxkU | 14,739 | Fixing tests for Perceiver | {
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"> Do not run image-classification pipeline (_CHECKPOINT_FOR_DOC uses the checkpoint for\r\nlanguage, which cannot load a FeatureExtractor so current logic fails).\r\n\r\nOk but the Perceiver has 3 variants (`PerceiverForImageClassificationLearned`, `PerceiverForImageClassificationFourier`, `PerceiverForImageClassi... | 1,639 | 1,639 | 1,639 | CONTRIBUTOR | null | # What does this PR do?
- Do not run image-classification pipeline (_CHECKPOINT_FOR_DOC uses the checkpoint for
langage, which cannot load a FeatureExtractor so current logic fails).
- Add a safeguard to not run tests when `tokenizer_class` or
`feature_extractor_class` **are** defined, but cannot be loaded
This happen... | {
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https://api.github.com/repos/huggingface/transformers/issues/14738 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14738/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14738/comments | https://api.github.com/repos/huggingface/transformers/issues/14738/events | https://github.com/huggingface/transformers/pull/14738 | 1,078,242,762 | PR_kwDOCUB6oc4vvo1e | 14,738 | Mention no images added to repository | {
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"WIll merge this as a first step!",
"Merged too soon? We need a concrete destination for images that we all share.",
"Here it is: https://huggingface.co/datasets/huggingface/documentation-images",
"but it's not part of this PR that was merged. i.e. @NielsRogge's suggestion wasn't integrated into the doc.\r\n\... | 1,639 | 1,639 | 1,639 | MEMBER | null | Mention that images shouldn't be added to the repository as it will otherwise significantly weigh down the repository. | {
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https://api.github.com/repos/huggingface/transformers/issues/14737 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14737/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14737/comments | https://api.github.com/repos/huggingface/transformers/issues/14737/events | https://github.com/huggingface/transformers/issues/14737 | 1,077,963,243 | I_kwDOCUB6oc5AQGnr | 14,737 | Add support to DistilBertLMHeadModel | {
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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/master/CONTRIBUTING.md)... | 1,639 | 1,642 | 1,642 | NONE | null | # 🚀 Feature request
## Background
Hi, I am the first author of the paper ["**TSDAE**: Using Transformer-based Sequential Denoising Auto-Encoder for Unsupervised Sentence Embedding Learning"](https://arxiv.org/abs/2104.06979). The work proposed a new method, TSDAE to train unsupervised-sentence-embedding models wit... | {
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https://api.github.com/repos/huggingface/transformers/issues/14736 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14736/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14736/comments | https://api.github.com/repos/huggingface/transformers/issues/14736/events | https://github.com/huggingface/transformers/issues/14736 | 1,077,919,697 | I_kwDOCUB6oc5AP7_R | 14,736 | XLNetLMHeadModel has no attribute 'from_config' | {
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"Good catch @josutk,\r\n\r\nI think we should change this line to:\r\n\r\n```\r\nmodel = XLNetLMHeadModel(config)\r\n```\r\n\r\nwould you like to open a PR for this? :-)",
"@patrickvonplaten I have open PR."
] | 1,639 | 1,639 | 1,639 | CONTRIBUTOR | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: 4.8.0
- Platform: Linux-4.15.0-20-generic-x86_64-with-LinuxMint-19-tara
- Python version: 3.6.9
- PyTorch ve... | {
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https://api.github.com/repos/huggingface/transformers/issues/14735 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14735/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14735/comments | https://api.github.com/repos/huggingface/transformers/issues/14735/events | https://github.com/huggingface/transformers/pull/14735 | 1,077,852,034 | PR_kwDOCUB6oc4vuZGd | 14,735 | Avoid using tf.tile in embeddings for TF models | {
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"I love it, thank you for doing this! I wonder if there's a reason for using the `Add()` layers like that originally? It feels very odd.",
"Either way, it's a straightforward change and I'm happy to merge as-is, so let me know once you're ready.",
"> I love it, thank you for doing this! I wonder if there's a re... | 1,639 | 1,651 | 1,639 | COLLABORATOR | null | # What does this PR do?
Some TF models use
```
position_embeds = tf.gather(params=self.position_embeddings, indices=position_ids)
position_embeds = tf.tile(input=position_embeds, multiples=(input_shape[0], 1, 1))
```
which assume that `position_ids` has size 1 along batch dimension. If users don't specify `po... | {
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https://api.github.com/repos/huggingface/transformers/issues/14734 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14734/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14734/comments | https://api.github.com/repos/huggingface/transformers/issues/14734/events | https://github.com/huggingface/transformers/pull/14734 | 1,077,836,448 | PR_kwDOCUB6oc4vuWKL | 14,734 | Fix: change tooslow to slow | {
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"LGTM!"
] | 1,639 | 1,651 | 1,639 | COLLABORATOR | null | # What does this PR do?
`test_saved_model_creation_extended` in `TFViT` test is currently `tooslow`. It was copied from TF common test.
#14415 move it from common test to TF core test + changed it to `slow`.
This PR fix this inconsistency.
## Who can review?
@Rocketknight1 | {
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https://api.github.com/repos/huggingface/transformers/issues/14733 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14733/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14733/comments | https://api.github.com/repos/huggingface/transformers/issues/14733/events | https://github.com/huggingface/transformers/issues/14733 | 1,077,803,949 | I_kwDOCUB6oc5APfut | 14,733 | Do we have pretrain (from scratch) scripts for BART? | {
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"Oh, sorry, the answer is listed here: [https://github.com/huggingface/transformers/issues/5096#issuecomment-645860271](url)"
] | 1,639 | 1,639 | 1,639 | NONE | null | I just want to train a new bart on my own dataset. But it seems that there is no pretrain scripts.
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https://api.github.com/repos/huggingface/transformers/issues/14732 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14732/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14732/comments | https://api.github.com/repos/huggingface/transformers/issues/14732/events | https://github.com/huggingface/transformers/pull/14732 | 1,077,685,948 | PR_kwDOCUB6oc4vt5fH | 14,732 | Add ability to get a list of supported pipeline tasks | {
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"Thanks for the PR! \r\n\r\nOff-topic from the actual PR but for background information, this is where the \"canonical\" list of pipelines (even outside of transformers) supported by the HuggingFace hub is stored: https://github.com/huggingface/huggingface_hub/blob/main/widgets/src/lib/interfaces/Types.ts",
"Than... | 1,639 | 1,639 | 1,639 | CONTRIBUTOR | null | # What does this PR do?
This change adds the ability to programmatically get a list of supported pipeline tasks.
Currently, when new users want to know which tasks are supported in a pipeline, we have to reference the [Pipelines documentation](https://huggingface.co/docs/transformers/main_classes/pipelines) or pa... | {
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https://api.github.com/repos/huggingface/transformers/issues/14731 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14731/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14731/comments | https://api.github.com/repos/huggingface/transformers/issues/14731/events | https://github.com/huggingface/transformers/issues/14731 | 1,077,661,586 | I_kwDOCUB6oc5AO8-S | 14,731 | Possible simplification in T5 docs | {
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"Hey,\r\n\r\nthat's indeed a way more readable way of replacing padding tokens by -100. \r\n\r\nThe docs of T5 is located [here](https://github.com/huggingface/transformers/blob/master/docs/source/model_doc/t5.rst). Note that we are migrating all docs from .rst files to Markdown. But for now, you can add just updat... | 1,639 | 1,639 | 1,639 | CONTRIBUTOR | null | I noticed the following nested list comprehension being recommended in the [T5 docs:](https://huggingface.co/docs/transformers/model_doc/t5)
```python
# replace padding token id's of the labels by -100
labels = [
[(label if label != tokenizer.pad_token_id else -100) for label in labels_example] for lab... | {
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https://api.github.com/repos/huggingface/transformers/issues/14730 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14730/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14730/comments | https://api.github.com/repos/huggingface/transformers/issues/14730/events | https://github.com/huggingface/transformers/issues/14730 | 1,077,622,224 | I_kwDOCUB6oc5AOzXQ | 14,730 | Fix docs pointers for DeepSpeed | {
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"If I'm not mistaken this is patched on `master` and will be reflected soon on the documentation cc @sgugger ",
"@LysandreJik At least in this line: https://github.com/huggingface/transformers/blame/master/docs/source/main_classes/trainer.rst#L506, it seems to be still outdated. Are you sure this is patched?",
... | 1,639 | 1,639 | 1,639 | NONE | null | In this [section](https://huggingface.co/docs/transformers/master/en/main_classes/trainer#deepspeed), the reader is pointed to several links that are broken:
* https://huggingface.co/docs/transformers/master/en/main_classes/trainer#deepspeed-trainer-integration
* https://huggingface.co/docs/transformers/master/en/m... | {
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https://api.github.com/repos/huggingface/transformers/issues/14729 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14729/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14729/comments | https://api.github.com/repos/huggingface/transformers/issues/14729/events | https://github.com/huggingface/transformers/pull/14729 | 1,077,621,196 | PR_kwDOCUB6oc4vtu_v | 14,729 | Add `ElectraForCausalLM` -> Enable Electra encoder-decoder model | {
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"This looks good to me as well! Regarding the docs, could you try to follow @sgugger 's suggestion [here](https://github.com/huggingface/transformers/pull/13967#issuecomment-999565664) on how to fix it? \r\n\r\nLet me know if you need any help :-)",
"Merging as failing test has been fixed on master and other fail... | 1,639 | 1,640 | 1,640 | CONTRIBUTOR | null | # What does this PR do?
This PR adds `ElectraForCausalLM` and thus enable to use `Electra` model in the encoder-decoder setting.
Fixes #14269
## Before submitting
- [x] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/master/CONTRIBUTING.md#start-contributing-pull-re... | {
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https://api.github.com/repos/huggingface/transformers/issues/14728 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14728/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14728/comments | https://api.github.com/repos/huggingface/transformers/issues/14728/events | https://github.com/huggingface/transformers/issues/14728 | 1,077,546,932 | I_kwDOCUB6oc5AOg-0 | 14,728 | Include documentation on linking to transformers docs with Intersphinx | {
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"Note that we do not use Sphinx anymore for our doc, since moving to https://huggingface.co/docs/transformers (we use raw markdown with some custom features on top of it, implemented in Svelte)\r\n\r\nHowever (not at all familiar with Intersphinx so I'm shooting in the dark here) maybe there's a specification that ... | 1,639 | 1,653 | 1,642 | NONE | null | I'm one of the maintainers of PyKEEN and we're adding a feature where you can use various transformers in combination with knowledge graph embedding models in https://github.com/pykeen/pykeen/pull/652. We're using sphinx to build our documentation and have out-links to various packages like numpy, but we haven't been a... | {
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https://api.github.com/repos/huggingface/transformers/issues/14727 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14727/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14727/comments | https://api.github.com/repos/huggingface/transformers/issues/14727/events | https://github.com/huggingface/transformers/issues/14727 | 1,077,399,787 | I_kwDOCUB6oc5AN9Dr | 14,727 | Difference between vocab_size in model T5forConditionalGeneration “t5-small” and its corresponding Tokenizer “t5-small” | {
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"My main goal is to `add_tokens` to the T5Tokenizer, but not sure how the `vocab_size` of the model would get affected due to this, after resize_embeddings. It would help to get an idea of how to incorporate the above.",
"See #4875"
] | 1,639 | 1,639 | 1,639 | NONE | null | ## Environment info
- `transformers` version: 4.13.0
- Platform: Linux-5.4.104+-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.7.12
- PyTorch version (GPU?): 1.10.0+cu111 (False)
- Tensorflow version (GPU?): 2.7.0 (False)
- 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/14726 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14726/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14726/comments | https://api.github.com/repos/huggingface/transformers/issues/14726/events | https://github.com/huggingface/transformers/pull/14726 | 1,077,345,999 | PR_kwDOCUB6oc4vtD2v | 14,726 | [CI/pt-nightly] switch to cuda-11.3 | {
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@LysandreJik | {
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"As a reference for future PRs, it would be nice to put the images in a dataset hosted on hf.co - putting them in the repo weighs down the repo significantly (+72kb here) and it can't be removed from the history without altering it. Images in the docs can also be taken from a dataset, see SegFormer for example: htt... | 1,639 | 1,639 | 1,639 | CONTRIBUTOR | null | This PR gives the reader an idea to travel a novel MoE Transformer architecture for a much faster training, albeit much larger memory requirements.
While most of the solutions are in the Tensorflow/TPU land, Deepspeed has introduced a pytorch solution based on Megatron-Deepspeed.
@sgugger | {
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This PR adds a job that will auto-update the repository [transformers-metadata](https://huggingface.co/datasets/huggingface/transformers-metadata) each time it's necessary. | {
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"@patrickvonplaten the code is ready for a full review now. I'll post the model links and evaluation results (DER and EER metrics) shortly.",
"checking tomorrow after the `-large` checkpoint problem is solved :-)"
] | 1,639 | 1,639 | 1,639 | MEMBER | null | # What does this PR do?
This adds the Audio Frame classification (equivalent of token classification) and X-vector (speaker embedding extraction) heads to `Wav2Vec2` and `UniSpeech-SAT` models. The target tasks for the heads are SUPERB's Speaker Diarization and Speaker Verification respectively. These were mainly mo... | {
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https://api.github.com/repos/huggingface/transformers/issues/14722 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14722/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14722/comments | https://api.github.com/repos/huggingface/transformers/issues/14722/events | https://github.com/huggingface/transformers/pull/14722 | 1,077,275,332 | PR_kwDOCUB6oc4vs1je | 14,722 | Fix broken links to distillation on index page of documentation | {
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"@sgugger Running that command modifies `index.mdx` and resets the links back to the broken link. I'm not sure why that's the case.\r\n\r\n\r\n",
"Ah you need to fix them in the main README, the rest is u... | 1,639 | 1,639 | 1,639 | CONTRIBUTOR | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/14721 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14721/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14721/comments | https://api.github.com/repos/huggingface/transformers/issues/14721/events | https://github.com/huggingface/transformers/pull/14721 | 1,077,208,986 | PR_kwDOCUB6oc4vsn0v | 14,721 | Fix special character in MDX | {
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"Merging to test the new automatic jobs to update notebooks and check the doc building is not broken :-)",
":+1: "
] | 1,639 | 1,639 | 1,639 | COLLABORATOR | null | # What does this PR do?
In the `quicktour.mdx`, there are a few &lt; that should be < in some of the model outputs.
This will need to be cherry-picked when re-building the stable doc. | {
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https://api.github.com/repos/huggingface/transformers/issues/14720 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14720/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14720/comments | https://api.github.com/repos/huggingface/transformers/issues/14720/events | https://github.com/huggingface/transformers/pull/14720 | 1,077,198,069 | PR_kwDOCUB6oc4vsljM | 14,720 | TF model cards | {
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"@sgugger all comments should be addressed and testing looks good. My main remaining concern is that `model.push_to_hub` does not generate a model card by default, because that method comes from the cross-platform `PushToHubMixin`. If you want, I can edit that method so that it creates a model card if you pass it a... | 1,639 | 1,639 | 1,639 | MEMBER | null | - Creating model cards for models trained with Keras!
- Model cards will automatically be created by the `PushToHubCallback` - the callback will peek at the metrics and accumulate information during the training run to enable this.
- Calling `model.push_to_hub()` will not, by default, create a model card. This method... | {
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https://api.github.com/repos/huggingface/transformers/issues/14719 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14719/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14719/comments | https://api.github.com/repos/huggingface/transformers/issues/14719/events | https://github.com/huggingface/transformers/pull/14719 | 1,077,123,399 | PR_kwDOCUB6oc4vsVuX | 14,719 | Fixing tests for perceiver (texts) | {
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Fixes the tests by supporting `input_ids` on PerceiverForSequenceClassification&co.
If both `inputs` and `input_ids` are supplied, crash with an error.
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https://api.github.com/repos/huggingface/transformers/issues/14718 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14718/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14718/comments | https://api.github.com/repos/huggingface/transformers/issues/14718/events | https://github.com/huggingface/transformers/pull/14718 | 1,077,074,119 | PR_kwDOCUB6oc4vsLkT | 14,718 | Automatically build doc notebooks | {
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This PR automatically build the notebooks associated to the doc pages and updates them when building the documentation. For now it relies on [this unmerged PR](https://github.com/huggingface/doc-builder/pull/50/files) on the doc-builder side, hence the specific branch (so I can test).
Once... | {
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https://api.github.com/repos/huggingface/transformers/issues/14717 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14717/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14717/comments | https://api.github.com/repos/huggingface/transformers/issues/14717/events | https://github.com/huggingface/transformers/issues/14717 | 1,077,050,926 | I_kwDOCUB6oc5AMn4u | 14,717 | Support for Kaldi formatted Audio files, especially "segments" | {
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"Thanks for your interest, @picheny-nyu!\r\nIndeed, this could be quite useful. The logic can either be implemented in `huggingface/datasets` for each dataset in Kaldi format individually, or we could add an example script to `transformers/examples` that converts Kaldi datasets. Feel free to open a PR if you'd like... | 1,639 | 1,652 | 1,643 | NONE | null | # 🚀 Feature request
Kaldi is a popular open source speech recognition system that manages audio in a simple but unique format. It would be great to have some addition to the datasets object that would take a Kaldi directory and turn this into a dataset. Barring this, it would be very helpful to have a modification ... | {
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https://api.github.com/repos/huggingface/transformers/issues/14716 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14716/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14716/comments | https://api.github.com/repos/huggingface/transformers/issues/14716/events | https://github.com/huggingface/transformers/pull/14716 | 1,076,903,450 | PR_kwDOCUB6oc4vroJa | 14,716 | Adding support for multiple mask tokens. | {
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- Original implem: https://github.com/huggingface/transformers/pull/10222
When presented multiple masks, it's impossible to retrieve the conjugate probabilities.
Instead of trying to workaround that (see discussions in previous PR) this PR instead
just outputs the raw `top_k` proposition... | {
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https://api.github.com/repos/huggingface/transformers/issues/14715 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14715/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14715/comments | https://api.github.com/repos/huggingface/transformers/issues/14715/events | https://github.com/huggingface/transformers/pull/14715 | 1,076,886,564 | PR_kwDOCUB6oc4vrkjW | 14,715 | Update bug-report.md | {
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"Also @Narsil, \r\n\r\nI've put you under generate now as well - is this ok? Think you know the method pretty well by now :-)",
"@patrickvonplaten I am ok with that !"
] | 1,639 | 1,639 | 1,639 | MEMBER | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/14714 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14714/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14714/comments | https://api.github.com/repos/huggingface/transformers/issues/14714/events | https://github.com/huggingface/transformers/pull/14714 | 1,076,860,871 | PR_kwDOCUB6oc4vrfP_ | 14,714 | IterableDatasetShard should use per device batch size instead of real… | {
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https://api.github.com/repos/huggingface/transformers/issues/14713 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14713/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14713/comments | https://api.github.com/repos/huggingface/transformers/issues/14713/events | https://github.com/huggingface/transformers/pull/14713 | 1,076,778,439 | PR_kwDOCUB6oc4vrODp | 14,713 | [Adafactor] Fix adafactor | {
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"I've tested this fix on the following script: \r\n\r\n```\r\nCUDA_VISIBLE_DEVICES=\"0\" python run_speech_recognition_ctc.py \\\r\n --dataset_name=\"common_voice\" \\\r\n --model_name_or_path=\"ntu-spml/distilhubert\" \\\r\n --dataset_config_name=\"ab\" \\\r\n --output_dir=\"./dummy\" \... | 1,639 | 1,639 | 1,639 | MEMBER | null | # What does this PR do?
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Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
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"From my understanding DeBERTa-V3 has the same tokenizer as V2.\r\nThe problem is Transformers DeBERTa-V2 does not have a FastTokenizer implementation,\r\nso we need a request for V2 FastTokenizer.",
"That would be a nice community contribution! I'll add the `Good First Issue` label, and happy to guide anyone fro... | 1,639 | 1,656 | 1,650 | CONTRIBUTOR | null | # 🚀 Feature request
Fast Tokenizer for DeBERTA-V3 and mDeBERTa-V3
## Motivation
DeBERTa V3 is an improved version of DeBERTa. With the V3 version, the authors also released a multilingual model "mDeBERTa-base" that outperforms XLM-R-base. However, DeBERTa V3 currently lacks a FastTokenizer implementation whi... | {
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https://api.github.com/repos/huggingface/transformers/issues/14711 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14711/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14711/comments | https://api.github.com/repos/huggingface/transformers/issues/14711/events | https://github.com/huggingface/transformers/pull/14711 | 1,076,751,518 | PR_kwDOCUB6oc4vrIbu | 14,711 | Adding `Perceiver` to `AutoTokenizer`. | {
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Make
```python
tokenizer = AutoTokenizer.from_pretrained("deepmind/language-perceiver")
```
work.
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https://api.github.com/repos/huggingface/transformers/issues/14710 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14710/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14710/comments | https://api.github.com/repos/huggingface/transformers/issues/14710/events | https://github.com/huggingface/transformers/issues/14710 | 1,076,437,996 | I_kwDOCUB6oc5AKSPs | 14,710 | GPT-NEO Incosistent inference TPU vs GPU | {
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"cc @patil-suraj and @patrickvonplaten",
"Hey @sjeffry-o,\r\n\r\nI'm not really sure what we can do here to help. Did you train a model and then when you run the model on inference on TPU it works well and the same model does not work well on GPU? Could you give us a reproducible code snippet that we can just run... | 1,639 | 1,642 | 1,642 | NONE | null | Problem: On GPU with huggingface library i'm getting much weaker results compared to inference on TPU
Model: GPT-NEO 1.3B
Steps: 20750
Dataset: Books crawl (file ".txt" 240 Gb)
- I've prepared dataset and new Tokenizer according to [original GPT-NEO](https://github.com/EleutherAI/gpt-neo) guide.
- For 1.3B model... | {
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https://api.github.com/repos/huggingface/transformers/issues/14709 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14709/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14709/comments | https://api.github.com/repos/huggingface/transformers/issues/14709/events | https://github.com/huggingface/transformers/pull/14709 | 1,076,235,713 | PR_kwDOCUB6oc4vpdai | 14,709 | [WIP] add noisy-average new word embed init | {
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"Thanks for the pull request @john-hewitt - I'm inclined to add such a feature. I think it's a good addition and necessary since we've seen issues about this before. \r\n\r\nWhat do you think @LysandreJik @sgugger ?",
"This issue has been automatically marked as stale because it has not had recent activity. If yo... | 1,639 | 1,642 | 1,642 | CONTRIBUTOR | null | # What does this PR do?
This WIP PR is intended to start a discussion around the default initialization of new word embeddings when the vocabulary of a pretrained LM is expanded.
A few existing github issues (e.g., #8472, #8039) bring up the issue that after adding new words to the `gpt2` model ("vocabulary expan... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_14708). All of your documentation changes will be reflected on that endpoint."
] | 1,639 | 1,650 | null | CONTRIBUTOR | null | documenting faster / leaner optimizers
TODO:
- add `--optim adamw_bnb_8bit` for HF Trainer.
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"Seems to be working fine for me\r\n\r\n```\r\nPython 3.7.13 (default, Mar 28 2022, 07:24:34) \r\n[Clang 12.0.0 ] :: Anaconda, Inc. on darwin\r\nType \"help\", \"copyright\", \"credits\" or \"license\" for more information.\r\n>>> import transformers\r\n>>> tokenizer = transformers.AutoTokenizer.from_pretrained(\"b... | 1,639 | 1,693 | 1,693 | CONTRIBUTOR | null | ## Environment info
- `transformers` version: 4.12.5
- Platform: Linux-5.11.0-41-generic-x86_64-with-glibc2.29
- Python version: 3.8.10
- PyTorch version (GPU?): 1.9.0+cu111 (True)
- Tensorflow version (GPU?): 2.6.0 (False)
- Flax version (CPU?/GPU?/TPU?): 0.3.6 (cpu)
- Jax version: 0.2.24
- JaxLib version: 0... | {
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https://api.github.com/repos/huggingface/transformers/issues/14706 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14706/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14706/comments | https://api.github.com/repos/huggingface/transformers/issues/14706/events | https://github.com/huggingface/transformers/issues/14706 | 1,075,840,291 | I_kwDOCUB6oc5AIAUj | 14,706 | [chinese wwm] load_datasets behavior not as expected when using run_mlm_wwm.py script | {
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"This script is not an actively maintained example, so you should ping the original contributor for any question on it :-)",
"@julien-c ",
"@hyusterr Sorry for late, I met the same question.\r\nThe file load by `load_dataset ()` is kind of diff from norm way, so just run the check as follows:\r\n\r\n```python\... | 1,639 | 1,645 | 1,640 | NONE | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: 4.7.0
- Platform: Linux-5.4.0-91-generic-x86_64-with-glibc2.29
- Python version: 3.8.10
- PyTorch version (G... | {
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<!--
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"regarding this conversation, every new doc page needs to be added to _toctree.yml (it serves the same purpose as this section of previous index.rst)\r\nhttps://github.com/huggingface/transformers/blame/fc1d97f29d7b98e82ae17fc5ac49229e2859bcca/docs/source/index.rst#L603-L652\r\nwe can probably create some automatic... | 1,639 | 1,639 | 1,639 | CONTRIBUTOR | null | # What does this PR do?
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This PR fixes the Perceiver tests by setting the appropriate device, and fixing a test for the tokenizer. | {
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"Similar issue for doc example in `PegasusForCausalLM`\r\n\r\n```\r\n Example::\r\n\r\n >>> from transformers import PegasusTokenizer, PegasusForCausalLM\r\n\r\n >>> tokenizer = PegasusTokenizer.from_pretrained('facebook/bart-large')\r\n >>> model = PegasusForCausalLM.from_pr... | 1,639 | 1,645 | 1,645 | COLLABORATOR | null | ## Environment info
- `transformers` version: 4.13.0.dev0
- Platform: Windows-10-10.0.19042-SP0
- Python version: 3.9.5
- PyTorch version (GPU?): 1.9.0+cpu (False)
- Tensorflow version (GPU?): 2.7.0 (False)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not installed
- JaxLib version: not ... | {
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https://api.github.com/repos/huggingface/transformers/issues/14701 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14701/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14701/comments | https://api.github.com/repos/huggingface/transformers/issues/14701/events | https://github.com/huggingface/transformers/pull/14701 | 1,075,401,391 | PR_kwDOCUB6oc4vmtKh | 14,701 | Fix doc examples: ... takes no keyword arguments | {
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"I tried to solve the merge conflicts but I ended up with code quality issues - do you mind taking a look when you have a minute? Sorry about that!",
"> I tried to solve the merge conflicts but I ended up with code quality issues - do you mind taking a look when you have a minute? Sorry about that!\r\n\r\nLooks f... | 1,639 | 1,651 | 1,640 | COLLABORATOR | null | # What does this PR do?
In some doc examples, there are
```
>>> y = XSoftmax.apply(x, mask, dim=-1)
```
which gives `TypeError: apply() takes no keyword arguments`.
This PR fixes it by
```
>>> # Specify the dimension to apply softmax
>>> dim = -1
>>> y = XSo... | {
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https://api.github.com/repos/huggingface/transformers/issues/14700 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14700/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14700/comments | https://api.github.com/repos/huggingface/transformers/issues/14700/events | https://github.com/huggingface/transformers/pull/14700 | 1,075,389,205 | PR_kwDOCUB6oc4vmqnW | 14,700 | Onnx enable tasks for supported models (part 2) | {
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"Gently pinging @LysandreJik for his blessing on the latest round of changes :)",
"Does this ONNX conversion support `beam search` automatically for BART based summarizers? ",
"> Does this ONNX conversion support `beam search` automatically for BART based summarizers?\r\n\r\nHi @sorenmc, no, you'll have to impl... | 1,639 | 1,652 | 1,640 | MEMBER | null | # What does this PR do?
This PR reapplies the reverted PR #14358, and solves the issues that caused the revert.
---
# What does this PR do?
This PR adds support for almost all the features available for already supported models.
Main contributions:
- `OnnxSeq2SeqConfigWithPast`: a new class inheriti... | {
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https://api.github.com/repos/huggingface/transformers/issues/14699 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14699/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14699/comments | https://api.github.com/repos/huggingface/transformers/issues/14699/events | https://github.com/huggingface/transformers/pull/14699 | 1,075,381,796 | PR_kwDOCUB6oc4vmpFX | 14,699 | Fix doc examples: KeyError | {
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The doc examples in `BlenderbotSmall` have
```
>>> inputs = tokenizer([UTTERANCE], return_tensors='pt')
>>> inputs.pop("token_type_ids")
```
However, `BlenderbotSmallTokenizer` doesn't give `token_type_ids`, and cause `KeyError` here.
This PR fix this.
## Who can ... | {
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"Great catch - thanks a lot for fixing it! I think we should do the exact same thing for the speech models (UniSpeech, SEW, UniSpeechSAT) actually. Feel free to open a PR if you want - I'll put it on my ToDo list as well though",
"@patrickvonplaten \r\n\r\nSo `UniSpeechSatFeatureExtractor` shouldn't be used by `U... | 1,639 | 1,651 | 1,639 | COLLABORATOR | null | # What does this PR do?
In doc examples in some PT model files, there are `cannot import name` error. This PR fixes this issue.
## Who can review?
@patrickvonplaten
## Question:
@patrickvonplaten , in `modeling_unispeech.py`, there are examples using
```
from transformers import UniSpeechSatFeatureE... | {
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" This makes sense to me - thanks for outlining the problem in the issue! @sgugger @LysandreJik - can you take a quick look as well?"
] | 1,639 | 1,651 | 1,639 | COLLABORATOR | null | # What does this PR do?
Some PT Causal LM models modify config after `super().__init__(config)`. This causes some doc examples failed.
See #14672 for the details.
This PR fixes this issue: It does the same as what has been done in
```
class ProphetNetForCausalLM(ProphetNetPreTrainedModel):
def __init__(s... | {
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https://api.github.com/repos/huggingface/transformers/issues/14696 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14696/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14696/comments | https://api.github.com/repos/huggingface/transformers/issues/14696/events | https://github.com/huggingface/transformers/issues/14696 | 1,075,305,072 | I_kwDOCUB6oc5AF9pw | 14,696 | Occasional Can not load roberta-base tokenizer | {
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"I think this is probably due to an internet connection error, unfortunately",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues that do not follow the [contributing gui... | 1,639 | 1,642 | 1,642 | NONE | null | **Environment info**
transformers 4.12.0.dev
**issue**
when using `tokenizer = AutoTokenizer.from_pretrained('roberta-base')`, got the bug as following:
```
OSError: Can't load config for 'roberta-base'. Make sure that:
- 'roberta-base' is a correct model identifier listed on 'https://huggingface.co/models'
... | {
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https://api.github.com/repos/huggingface/transformers/issues/14695 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14695/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14695/comments | https://api.github.com/repos/huggingface/transformers/issues/14695/events | https://github.com/huggingface/transformers/pull/14695 | 1,075,289,052 | PR_kwDOCUB6oc4vmVmf | 14,695 | Improve documentation of some models | {
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"Please ping me when you're ready to merge it @NielsRogge so that I may update the stable docs with this"
] | 1,639 | 1,639 | 1,639 | CONTRIBUTOR | null | # What does this PR do?
This PR:
- migrates the docs of ImageGPT, TAPAS and TrOCR from rst to Markdown.
- adds links to my demo notebooks for ViT, BEiT, LUKE, Perceiver.
- improves the docstrings of the Perceiver model. | {
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https://api.github.com/repos/huggingface/transformers/issues/14694 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14694/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14694/comments | https://api.github.com/repos/huggingface/transformers/issues/14694/events | https://github.com/huggingface/transformers/issues/14694 | 1,075,288,878 | I_kwDOCUB6oc5AF5su | 14,694 | The loss function should ignore tokens whose index is set to - 100 | {
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"No, the ignore_index is set to -100 by default as can be seen in PyTorch' [docs](https://pytorch.org/docs/stable/generated/torch.nn.CrossEntropyLoss.html).",
"> No, the ignore_index is set to -100 by default as can be seen in PyTorch' [docs](https://pytorch.org/docs/stable/generated/torch.nn.CrossEntropyLoss.htm... | 1,639 | 1,639 | 1,639 | NONE | null | Loss function in `EncoderDecoderModel` as well as `BartForConditionalGeneration` didn't ignore special tokens:
https://github.com/huggingface/transformers/blob/e9800122a6f6a68aee7dff347c8f4a6d28e345a2/src/transformers/models/encoder_decoder/modeling_encoder_decoder.py#L529
Does it need to be like the loss function ... | {
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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/master/CONTRIBUTING.md)... | 1,639 | 1,642 | 1,642 | NONE | null | Hi Team,
I would like to know if the current implementation for Question answering tasks on the squad data format considers multiple answers that can be passed in the format. Going through the code, i think it does not however wanted to know it from you. | {
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<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: 2.11.0
- Platform: Linux-5.10.68+-x86_64-with-debian-buster-sid
- Python version: 3.7.6
- PyTorch version (G... | {
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"Pinging @n1t0, @LysandreJik."
] | 1,639 | 1,640 | 1,640 | CONTRIBUTOR | null | # What does this PR do?
Calling the `decoder` attribute for the T5 fast tokenizer raises an error because it tries accessing the non-existent `_tokenizer` field of `tokenizers.Tokenizer`. In `PreTrainedTokenizerFast.decoder`, `self._tokenizer._tokenizer.decoder` is executed, which contains a probably unintentional r... | {
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"cc @NielsRogge ",
"Hi, I suspect that the slowness is from reading the large `entity_vocab.json` in `MLukeTokenizer.__init__()`, which has 418 MB ([studio-ousia/mluke-base](https://huggingface.co/studio-ousia/mluke-base/tree/main)).\r\nWhen I tried on my local PC, only reading the entity vocab file in `__init__(... | 1,638 | 1,639 | 1,638 | COLLABORATOR | null | # What does this PR do?
To avoid the timeouts in the test suites, this PR makes all mLuke tokenizer tests slow until we figure out a way to speed them up. | {
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"Not sure why `ProphetNetTokenizer` returns `token_type_ids` by default while `ProphetNetEncoder` can't accept it.\r\n\r\n```\r\n >>> tokenizer = ProphetNetTokenizer.from_pretrained('microsoft/prophetnet-large-uncased')\r\n >>> model = ProphetNetEncoder.from_pretrained('patrickvonplaten/prophe... | 1,638 | 1,651 | 1,639 | COLLABORATOR | null | # What does this PR do?
Fix `unexpected keyword argument` in doc examples (in PT model files)
## Who can review?
@sgugger | {
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This PR fixes the problem switching to checking if it's any k... | {
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"> Thanks for fixing. For the one in visual BERT, it shouldn't be run by doctest, so the `>>>` should be removed.\r\n\r\nI removed `>>>` and `...` as suggested.",
"Thnaks!"
] | 1,638 | 1,651 | 1,638 | COLLABORATOR | null | # What does this PR do?
For some doc examples in PT model files, we get exception: `NameError: name '...' is not defined`
This PR fixes this issue.
In `modeling_visual_bert.py`, there are some places using an assumed-existing function `get_visual_embeddings`.
```
# Assumption: `get_visual_embeddings(image)... | {
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This PR moves the `pyctcdedcode` to the methods of `Wav2Vec2ProcessorWithLM` so that one can always import it. The dependencies seem a bit tricky to all install (and in particular kenlm is a hard requirement but it doesn't seem to always work properly, especially in notebooks) so this makes t... | {
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"> Thanks for fixing those. For Megatron BERT, a manual download is required, see the [doc page](https://huggingface.co/docs/transformers/model_doc/megatron_bert) for more information.\r\n\r\nOK, so I should update the doc example by using a manual download, I guess.",
"No need for that (as it requires some bash ... | 1,638 | 1,651 | 1,638 | COLLABORATOR | null | # What does this PR do?
In some (PT) model files, there are doc examples with the wrong checkpoint paths. For example,
```
model = BigBirdPegasusForConditionalGeneration.from_pretrained('bigbird-pegasus-large-arxiv')
```
which should be `'google/bigbird-pegasus-large-arxiv'`
This PR fixes this issue.
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"Making a note that this PR should be merged after https://github.com/huggingface/moon-landing/pull/1621 gets merged",
"@sgugger done on the moon-landing side. Please feel free to merge this PR",
"Thanks!"
] | 1,638 | 1,639 | 1,639 | COLLABORATOR | null | # What does this PR do?
This PR should be merged once everything is ready on moon-landing (cc @mishig25 I will wait for your green light). | {
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"LGTM!"
] | 1,638 | 1,639 | 1,638 | COLLABORATOR | null | # What does this PR do?
I merged a bit too fast #14665 so this PR reverts the [[open-in-colab]] markers since the corresponding Svelte component has not been merged yet.
This PR also adds Perceiver to the table of content. (cc @NielsRogge ) | {
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"should we/can we add in the upcoming release to have it \"fixed\" for now and then improve on it? @Rocketknight1 @LysandreJik ? ",
"Yes, agreed that it should be in the PR; pinging @Rocketknight1 for a quick review and will merge afterwards.",
"Also I'll be doing significant updates to the PushToHubCallback in... | 1,638 | 1,639 | 1,639 | MEMBER | null | # What does this PR do?
This PR fixes the Repository creation when using `PushToHubCallback`. Currently, the Repository is created assuming the `HF_TOKEN` is available on the machine, but that's not the case for every scenario.
These changes check if the `hub_token` parameter is provided if yes then it is passed i... | {
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Small init fixes for the `Wav2Vec2ProcessorWithLm` | {
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I noticed that a lot of the `TrainingArguments` parameters were not being logged to [Comet](https://www.comet.ml/site/) with the latest version of `transformers`. The issue seems to be in this line of the integration
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cc @LysandreJik @sgugger @michaelbenayoun | {
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https://api.github.com/repos/huggingface/transformers/issues/14678 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14678/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14678/comments | https://api.github.com/repos/huggingface/transformers/issues/14678/events | https://github.com/huggingface/transformers/pull/14678 | 1,074,631,643 | PR_kwDOCUB6oc4vkOBx | 14,678 | Fix doc examples: 'CausalLMOutput...' object has no attribute 'last_hidden_state' | {
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"Awesome!"
] | 1,638 | 1,651 | 1,639 | COLLABORATOR | null | # What does this PR do?
In some doc examples, the line
```
last_hidden_states = outputs.last_hidden_state
```
will fail when the return value if of type `CausalLMOutput...` (e.g. `CausalLMOutputWithCrossAttentions`).
This PR fixes these lines by using
```
logits = outputs.logits
```
## Who can rev... | {
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https://api.github.com/repos/huggingface/transformers/issues/14677 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14677/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14677/comments | https://api.github.com/repos/huggingface/transformers/issues/14677/events | https://github.com/huggingface/transformers/issues/14677 | 1,074,464,040 | I_kwDOCUB6oc5ACwUo | 14,677 | [Feature request] Doc example copy button - option to remove input prompts and outputs | {
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"This is a bug that will be fixed soon, see https://github.com/huggingface/doc-builder/issues/41. cc @mishig25. Thanks for reporting.",
"Thanks, @NielsRogge . I didn't follow that repository. I am closing this issue."
] | 1,638 | 1,638 | 1,638 | COLLABORATOR | null | # 🚀 Feature request
<!-- A clear and concise description of the feature proposal.
Please provide a link to the paper and code in case they exist. -->
Documentation page: Make example copy buttons remove input prompts (`>>>` and `...`) before copying, as well as skip lines that don’t start with prompts (in ... | {
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https://api.github.com/repos/huggingface/transformers/issues/14676 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14676/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14676/comments | https://api.github.com/repos/huggingface/transformers/issues/14676/events | https://github.com/huggingface/transformers/pull/14676 | 1,074,456,707 | PR_kwDOCUB6oc4vjpHf | 14,676 | Fix doc builder | {
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https://api.github.com/repos/huggingface/transformers/issues/14675 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14675/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14675/comments | https://api.github.com/repos/huggingface/transformers/issues/14675/events | https://github.com/huggingface/transformers/pull/14675 | 1,074,382,471 | PR_kwDOCUB6oc4vjZT3 | 14,675 | [AutoProcessor] Add Wav2Vec2WithLM & small fix | {
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"Test failure is unrelated",
"Failures are unrelated - merging"
] | 1,638 | 1,638 | 1,638 | MEMBER | null | # What does this PR do?
<!--
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Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
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https://api.github.com/repos/huggingface/transformers/issues/14674 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14674/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14674/comments | https://api.github.com/repos/huggingface/transformers/issues/14674/events | https://github.com/huggingface/transformers/issues/14674 | 1,074,352,295 | I_kwDOCUB6oc5ACVCn | 14,674 | Loading t5 from config file | {
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"This is due to the fact that the \"architectures\" attribute of the [config](https://huggingface.co/t5-small/blob/main/config.json#L3) of the \"t5-small\" checkpoint is set to `T5WithLMHeadModel`, however it was renamed to `T5ForConditionalGeneration`.\r\n\r\nI believe that should be updated (as well as the other ... | 1,638 | 1,639 | 1,639 | NONE | null | Why cannot load T5 from a config file?
Python: 3.9.5
Transformer: 4.12.5
OS: ubuntu 18.04
CPU
```
from transformers import (
AutoConfig, T5Model, T5ForConditionalGeneration, T5Config,
)
config = AutoConfig.from_pretrained('t5-small')
model = T5ForConditionalGeneration.from_pretrained(config)
... | {
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https://api.github.com/repos/huggingface/transformers/issues/14673 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14673/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14673/comments | https://api.github.com/repos/huggingface/transformers/issues/14673/events | https://github.com/huggingface/transformers/issues/14673 | 1,074,204,301 | I_kwDOCUB6oc5ABw6N | 14,673 | Output sequences are different between SummarizationPipeline and model.generate | {
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"Hey @tagucci,\r\n\r\nGood question! It took me some time to find the difference :D . The pipeline automatically takes the `model.config.prefix` parameter into account as well. So if you change your script as follows you should get the same results: \r\n\r\n```diff\r\nfrom transformers import (\r\n BartTokenizer... | 1,638 | 1,639 | 1,639 | CONTRIBUTOR | null | ## Environment info
transformers version: 4.12.5
Platform: Linux
Python version: 3.8.5
PyTorch version (GPU?): 1.10
Tensorflow version (GPU?): N/A
Using GPU in script?: Yes
Using distributed or parallel set-up in script?: No
### Who can help
@patrickvonplaten, @patil-suraj
## Information
Model I am usin... | {
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https://api.github.com/repos/huggingface/transformers/issues/14672 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14672/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14672/comments | https://api.github.com/repos/huggingface/transformers/issues/14672/events | https://github.com/huggingface/transformers/issues/14672 | 1,074,162,293 | I_kwDOCUB6oc5ABmp1 | 14,672 | PT CausalLM models config issue | {
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- `transformers` version: 4.13.0.dev0
- Platform: Windows-10-10.0.19042-SP0
- Python version: 3.9.5
- PyTorch version (GPU?): 1.9.0+cpu (False)
- Tensorflow version (GPU?): 2.7.0 (False)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not installed
- JaxLib version: not ... | {
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Fixes #14670 | {
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This should be replaced by `tf.linalg.band_part` here?
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https://api.github.com/repos/huggingface/transformers/issues/14669 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14669/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14669/comments | https://api.github.com/repos/huggingface/transformers/issues/14669/events | https://github.com/huggingface/transformers/pull/14669 | 1,073,882,202 | PR_kwDOCUB6oc4vhwaQ | 14,669 | [logging] implement warning_advice / TRANSFORMERS_NO_ADVISORY_WARNINGS | {
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"Looks good to me! I'm wondering whether we actually need a new logger function `logger.warning_advice` or whether it might make sense to simply overwrite `logger.warning` since 100% backward compatibility is kept ",
"> Looks good to me! I'm wondering whether we actually need a new logger function `logger.warning... | 1,638 | 1,640 | 1,640 | CONTRIBUTOR | null | This PR implements the idea of advisory logger warnings as discussed at https://github.com/huggingface/transformers/issues/14455
The main ideas is to enable users to turn some logger warnings off when they re-run the same program again and again and either don't care or can't do something about those warnings. Addit... | {
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"Hey @michalk8,\r\n\r\nIn general, we try not to use the issue tracker too much for questions of non-official, costumized models. Could you maybe use the forum: https://discuss.huggingface.co/ instead the next time. \r\n\r\nTo answer your question, the approach of doing:\r\n\r\n```python\r\nehs_stacked = torch.cat(... | 1,638 | 1,685 | 1,642 | NONE | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: both 4.12.5 and 4.13.0.dev0
- Platform: Linux
- Python version: 3.8.12
- PyTorch version (GPU?): 1.10, no GP... | {
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https://api.github.com/repos/huggingface/transformers/issues/14667 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14667/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14667/comments | https://api.github.com/repos/huggingface/transformers/issues/14667/events | https://github.com/huggingface/transformers/issues/14667 | 1,073,806,919 | I_kwDOCUB6oc5AAP5H | 14,667 | Wrong link in the documentation (ConvBERT, BART, Fnet) | {
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"Nice catch! Would you like to submit a PR to amend this?",
"Sure ! As soon as I finish reading the documentation, to avoid making two PRs in case I find another error.",
"Going through the documentation I found an error and a warning. I'll make a PR about it. I just want to note that I didn't do a documentatio... | 1,638 | 1,639 | 1,639 | CONTRIBUTOR | null | In the documentation on transform-based models [0], the link that is supposed to point to the **ConvBERT** paper [1, 2] points instead to the **DistilBERT** paper [3].
[0] https://huggingface.co/docs/transformers
[1] https://huggingface.co/docs/transformers/model_summary#convbert
[2] https://arxiv.org/pdf/2008.024... | {
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https://api.github.com/repos/huggingface/transformers/issues/14666 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14666/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14666/comments | https://api.github.com/repos/huggingface/transformers/issues/14666/events | https://github.com/huggingface/transformers/pull/14666 | 1,073,763,033 | PR_kwDOCUB6oc4vhXYC | 14,666 | Code parrot minor fixes/niceties | {
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"Alrighty @lvwerra, I think this PR should be (:crossed_fingers:) good to go :rocket:! Lemme know if anything else needs to be done!"
] | 1,638 | 1,639 | 1,639 | CONTRIBUTOR | null | # What does this PR do?
Hi there, really excited by HF expanding into Deep Learning for Software Engineering! This PR just adds a few fixes/niceties I found while testing out the scripts. Specifically:
1. Move the training code to a main function to allow using TPUs (TPU testing still needs to be done, but GPU trai... | {
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Fresh version of #14655 | {
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"cc @mfuntowicz @lewtun @michaelbenayoun ",
"Oh, great to know about it! Never mind, I am going to close this PR. \r\n\r\nHope to see the new update soon and thank you all very much for your great contribution to the community!"
] | 1,638 | 1,638 | 1,638 | NONE | null | # What does this PR do?
This PR fix a small bug of `GPT2OnnxConfig()`.
Since `GPT2OnnxConfig.input` currently lacks a `dynamic_axes` for `input sequence length`, we cannot feed an input of any length into exported `GPT2 Onnx model` when doing inference. (I used [this guide](https://huggingface.co/docs/transforme... | {
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https://api.github.com/repos/huggingface/transformers/issues/14663 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14663/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14663/comments | https://api.github.com/repos/huggingface/transformers/issues/14663/events | https://github.com/huggingface/transformers/pull/14663 | 1,073,720,741 | PR_kwDOCUB6oc4vhOjJ | 14,663 | [trainer] conditional ctx managers into one wrapper | {
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Let me know if you prefer I make this helper method private and add a leading `_`.
If this looks good, we could repeat this in the other places where we have similar situations. Whil... | {
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"Just rebased on `master` and force-pushed.",
"Checking that it fails as it's missing the `kenlm` dependency, which I will add right after I confirm it fails.",
"Yes the object and its docstings exist whether or not `kenlm` is installed."
] | 1,638 | 1,639 | 1,639 | COLLABORATOR | null | # What does this PR do?
This PR takes over from #14645 to do it properly this time, meaning:
- we don't rely on secrets anymore which doesn't work for pull-request
- we don't need the secrets as we are not pushing anywhere
- we actually checkout the content after the PR merge, and not just master 🤦
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"Thanks for your PR! You should accept both extensions as there are many jsonline files that actually have the .json extension.",
"Thanks @sgugger , it is fixed now"
] | 1,638 | 1,638 | 1,638 | CONTRIBUTOR | null | # What does this PR do?
Fixes #14660
The documentation and the code everywhere mention jsonlines file except in the actual code where the verification was for json file instead.
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] ... | {
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Models:
- maintained examples (not research project or legacy): @sgugger, @patil-suraj
## Information
The run_translation.py file requires that we pass `train_file` and `validation_file` as **json** file only, see:
https://github.com/huggingface/transformers/blob/master/examples/pytorch/... | {
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https://api.github.com/repos/huggingface/transformers/issues/14659 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14659/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14659/comments | https://api.github.com/repos/huggingface/transformers/issues/14659/events | https://github.com/huggingface/transformers/pull/14659 | 1,073,541,854 | PR_kwDOCUB6oc4vgp_n | 14,659 | Add Nystromformer | {
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"Hey @novice03 , really cool PR, can't wait to fine-tune models with it :)\r\n\r\nI have some questions about the tokenization part: it seems that the ALBERT tokenizer (and an albert spm model) is used and uploaded to the model hub, so I think in `config.json` the entry `\"tokenizer_class\": \"AlbertTokenizer\"` sh... | 1,638 | 1,641 | 1,641 | CONTRIBUTOR | null | # What does this PR do?
This PR adds the Nystromformer transformer model to the repository.
Paper: [https://arxiv.org/abs/2102.03902](https://arxiv.org/abs/2102.03902)
Code: [https://github.com/mlpen/Nystromformer](https://github.com/mlpen/Nystromformer)
Checkpoint: [Nystromformer sequence length 512](https://w... | {
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Fixes #14301
Fixes TQA tests to actually decouple TF and PT (some TF tests need PT, but not the other way around, if we have all requirements, basically no test ever get run by automated tests.)
Enable Dataset with TQA too.
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Check doc examples
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} | https://api.github.com/repos/huggingface/transformers/issues/14657/timeline | null | true | {
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