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https://api.github.com/repos/huggingface/transformers/issues/18574 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18574/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18574/comments | https://api.github.com/repos/huggingface/transformers/issues/18574/events | https://github.com/huggingface/transformers/pull/18574 | 1,335,688,523 | PR_kwDOCUB6oc49A0jb | 18,574 | add opt "flush_denormal" in training_args. | {
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"@yao-matrix @sgugger please help review",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_18574). All of your documentation changes will be reflected on that endpoint.",
"Thanks for your PR but I don't completely understand why this should leave in the Trainer? Users ... | 1,660 | 1,666 | 1,663 | CONTRIBUTOR | null | To solve the low performance issue caused by denormal numbers, user could enable this opt
Signed-off-by: Wang, Yi A <yi.a.wang@intel.com>
# What does this PR do?
[Denormal number](https://en.wikipedia.org/wiki/Denormal_number) is used to store extremely small numbers which are close to 0. Computations with denor... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"> Thanks for fixing! However, all \"owlvit\" checkpoints on the hub have `\"do_center_crop\": true` in their preprocessor_config.json.\r\n> \r\n> Should we update them after this PR is merged?\r\n\r\nGood point, yes, we should update... | 1,660 | 1,665 | 1,660 | CONTRIBUTOR | null | # What does this PR do?
Fixes a resizing issue in `OwlViTFeatureExtractor` that lead to the image/s getting resized along only one dimension and getting cropped along the other dimension later on in the preprocessing pipeline. The issue was due to defining the size as a single value instead of a tuple (768 instead of ... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Hi,\r\n\r\nthanks for your PR. Could you also fix this in `modeling_segformer.py` for the PyTorch implementation?\r\n\r\nThanks!"
] | 1,660 | 1,660 | 1,660 | CONTRIBUTOR | null | Fixes # (issue)
https://github.com/huggingface/transformers/issues/18557
## Before submitting
- [ X] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
## Who can review?
@sayakpaul
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] | 1,660 | 1,660 | 1,660 | CONTRIBUTOR | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/18570 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18570/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18570/comments | https://api.github.com/repos/huggingface/transformers/issues/18570/events | https://github.com/huggingface/transformers/issues/18570 | 1,335,418,228 | I_kwDOCUB6oc5PmN10 | 18,570 | How to load a fine-tuned model and inference after running run_clip.py？ | {
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"If I understand correctly, you have a (previously created) `clip-roberta` which is used to launch training.\r\nThe processor is not saved after the model is finetuned, just the model is saved.\r\nYou can copy the processor file(s) from `clip-roberta` to `clip-roberta-finetuned`.\r\n\r\nOtherwise, you can simply c... | 1,660 | 1,660 | 1,660 | NONE | null | ### System Info
- `transformers` version: 4.22.0.dev0
- Platform: Linux-3.10.0-957.el7.x86_64-x86_64-with-glibc2.17
- Python version: 3.9.12
- Huggingface_hub version: 0.8.1
- PyTorch version (GPU?): 1.12.0+cu102 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installe... | {
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https://api.github.com/repos/huggingface/transformers/issues/18569 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18569/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18569/comments | https://api.github.com/repos/huggingface/transformers/issues/18569/events | https://github.com/huggingface/transformers/pull/18569 | 1,335,390,854 | PR_kwDOCUB6oc48_1xM | 18,569 | The backticks in the example of transformers.BigBirdPegasusConfig documentation were not in the right spot… | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_18569). All of your documentation changes will be reflected on that endpoint.",
"I can make that change, but when I run `make style` it changes a couple hundred files. Is that supposed to happen?",
"No, it probably means ... | 1,660 | 1,661 | 1,661 | NONE | null | …, causing the documentation to be displayed in a weird way. I moved the backticks a few lines down in the documentation to ensure the documentation is formatted correctly.
# What does this PR do?
Fixes the python documentation example in transformers.BigBirdPegasusConfig
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thanks for fixing!"
] | 1,660 | 1,660 | 1,660 | CONTRIBUTOR | null | # What does this PR do?
#18494 introduced a bug in a cuda device string:
`RuntimeError: Invalid device string: 'cuda:{device}'`
This PR adds the missing `f` before the string
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https://api.github.com/repos/huggingface/transformers/issues/18567 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18567/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18567/comments | https://api.github.com/repos/huggingface/transformers/issues/18567/events | https://github.com/huggingface/transformers/issues/18567 | 1,335,194,807 | I_kwDOCUB6oc5PlXS3 | 18,567 | Trainer Bug | {
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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... | 1,660 | 1,663 | 1,663 | NONE | null | ### System Info
I might be wrong, but looks this line here: https://github.com/huggingface/transformers/blob/main/src/transformers/trainer_seq2seq.py#L176 introduces a bug. _gen_kwargs may not be an attribute for an instance.
### Who can help?
_No response_
### Information
- [ ] The official example scripts
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] | 1,660 | 1,660 | 1,660 | CONTRIBUTOR | null | [//]: # (dependabot-start)
⚠️ **Dependabot is rebasing this PR** ⚠️
Rebasing might not happen immediately, so don't worry if this takes some time.
Note: if you make any changes to this PR yourself, they will take precedence over the rebase.
---
[//]: # (dependabot-end)
Bumps [nbconvert](https://github.com/jupyte... | {
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<details>
<summary>Commits</summary>
<ul>
<li><a href="https://github.com/jupyter/nbconvert/commit/cefe0bfe303e5e9e194c393cb9280c64a77b8219"><code>cefe0bf</code></a> Release 6.3.0</li>
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"installation is WIP and will be done tomorrow in the open PR\r\nother sections will follow in future if its still to do then",
"Great! Thank you @flozi00 🚀.",
"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... | 1,660 | 1,665 | 1,665 | CONTRIBUTOR | null | Hi!
Let's bring the documentation to all the German-speaking community :)
Who would want to translate? Please follow the 🤗 [TRANSLATING guide](https://github.com/huggingface/transformers/blob/main/docs/TRANSLATING.md). Here is a list of the files ready for translation. Let us know here if you'd like to translate... | {
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https://api.github.com/repos/huggingface/transformers/issues/18563 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18563/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18563/comments | https://api.github.com/repos/huggingface/transformers/issues/18563/events | https://github.com/huggingface/transformers/pull/18563 | 1,334,974,275 | PR_kwDOCUB6oc48-d0v | 18,563 | Properly move cache when it is not in default path | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,660 | 1,660 | 1,660 | COLLABORATOR | null | # What does this PR do?
This PR respects the user env variable for the cache move when they set something different from the default path, as it's not working as expected right now (reported internally by @stas00 ) | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Hey @gugarosa, thanks for your PR! I'm asking Sylvain to review it as he's the maintainer of the `Trainer`, but he's on the leave for the next few weeks. He'll review your PR when he's back!\r\n\r\nThanks for your patience :pray: ",
... | 1,660 | 1,662 | 1,662 | CONTRIBUTOR | null | # What does this PR do?
This PR follows the work done in #18081 and adds a `timeout` argument to `TrainingArgs` to avoid Socket Timeouts when using PyTorch's `torch.distributed.init_process_group`: https://pytorch.org/docs/stable/distributed.html#torch.distributed.init_process_group
_`timeout` argument exists sin... | {
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"cc @xvjiarui @NielsRogge ",
"LGTM",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_18561). 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 thin... | 1,660 | 1,664 | 1,663 | NONE | null | Made it so that the num_output_group matches with the default setting. | {
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https://api.github.com/repos/huggingface/transformers/issues/18560 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18560/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18560/comments | https://api.github.com/repos/huggingface/transformers/issues/18560/events | https://github.com/huggingface/transformers/pull/18560 | 1,334,859,629 | PR_kwDOCUB6oc48-FO4 | 18,560 | raise atol for MT5OnnxConfig | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"I need to check the `# Copied` issue.",
"Hi, @ydshieh. Does this PR fix the two failing tests?\r\n\r\nIf not, I can work on it too.",
"The test is still running. I think it should be fine :-) but will let you know once the test r... | 1,660 | 1,662 | 1,660 | COLLABORATOR | null | # What does this PR do?
MT5 is newly added to ONNX tests, but currently failed with
```
AssertionError: mt5, seq2seq-lm -> Outputs values doesn't match between reference model and ONNX exported model: Got max absolute difference of: 0.000148773193359375
AssertionError: mt5, seq2seq-lm-with-past -> Outputs value... | {
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https://api.github.com/repos/huggingface/transformers/issues/18559 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18559/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18559/comments | https://api.github.com/repos/huggingface/transformers/issues/18559/events | https://github.com/huggingface/transformers/pull/18559 | 1,334,837,434 | PR_kwDOCUB6oc48-BGW | 18,559 | [WIP]Add TF BEiT Implementation | {
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"@gante @amyeroberts Here's the WIP draft of BEiT!\r\n\r\nPlease tell me if I have done anything wrong, I'll make the changes right away!\r\n\r\nThanks!",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_18559). All of your documentation changes will be reflected on that ... | 1,660 | 1,708 | null | NONE | null | Porting BEiT model from PyTorch to TensorFlow backend
# What does this PR do?
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"Now I can make `run_ner.py` running by changing the line 508 from `metric = evaluate.load(\"seqeval\")` to `metric = evaluate.load(\"/absoluate/path/to/seqeval.py\")`. But I think this is still a potential bug as the fine-tuning script had worked well before, without changing the file `run_ner.py`. ",
"I meet t... | 1,660 | 1,689 | 1,660 | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.22.0.dev0
- Platform: Linux-5.4.0-77-generic-x86_64-with-debian-bullseye-sid
- Python version: 3.7.13
- Huggingface_hub version: 0.8.1
- PyTorch version (GPU?): 1.9.1+cu111 (False)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not i... | {
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https://api.github.com/repos/huggingface/transformers/issues/18557 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18557/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18557/comments | https://api.github.com/repos/huggingface/transformers/issues/18557/events | https://github.com/huggingface/transformers/issues/18557 | 1,334,731,062 | I_kwDOCUB6oc5PjmE2 | 18,557 | Segformer ouput size | {
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"cc @NielsRogge -- is the right logits shape `(batch_size, num_labels, height, width)` or `(batch_size, num_labels, height/4, width/4)`?\r\n\r\n@joihn depending on @NielsRogge answer, would you like to open a PR to fix the documentation? :) The PyTorch model has the same comments, that may need to be fixed.",
"Hi... | 1,660 | 1,660 | 1,660 | CONTRIBUTOR | null | ### System Info
thanks for this repo,
Segformer `output size` is `input_size/4,` as mentionned here
https://github.com/huggingface/transformers/blob/main/src/transformers/models/segformer/modeling_tf_segformer.py#L780
However, this line of documentation is wrong:
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https://api.github.com/repos/huggingface/transformers/issues/18556 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18556/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18556/comments | https://api.github.com/repos/huggingface/transformers/issues/18556/events | https://github.com/huggingface/transformers/pull/18556 | 1,334,621,692 | PR_kwDOCUB6oc489UUR | 18,556 | [Title]: Fix the ner example for tenforflow | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_18556). All of your documentation changes will be reflected on that endpoint."
] | 1,660 | 1,660 | 1,660 | NONE | null | [Detail]: The MODEL_MAPPING should change to TF_MODEL_MAPPING in
tensorflow platform.
[To do]: None
# What does this PR do?
To fix the problem that ner example in tensorflow dir runs failed.
the error message is :
(tensorflow) ➜ token-classification git:(main) ✗ python run_ner.py \
--model_name_or_path ber... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Didn't realize that re-requesting a review from @gante would result in removing @amyeroberts and @sgugger from the reviewer list. Please know that it was completely unintentional. ",
"@sayakpaul no worries :)",
"Thanks for anothe... | 1,660 | 1,662 | 1,662 | MEMBER | null | This PR implements the MobileViT model in TensorFlow.
## Interesting points
* The classification and segmentation models provided with MobileViT are fully compatible with TensorFlow Lite. Therefore, I have included sample code in the model documentation showing how to perform the TensorFlow Lite conversion (~4 li... | {
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https://api.github.com/repos/huggingface/transformers/issues/18554 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18554/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18554/comments | https://api.github.com/repos/huggingface/transformers/issues/18554/events | https://github.com/huggingface/transformers/issues/18554 | 1,334,512,527 | I_kwDOCUB6oc5PiwuP | 18,554 | Illegal instruction: 4 error when importing TextClassificationPipeline | {
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"hi @ehsong ,\r\n\r\nAre you on Mac M1 ? Do you mind running `transformers-cli env` and printing the output here ?\r\n\r\nWhat code are you using the trigger the issue ?\r\n\r\nI googled and found this : https://stackoverflow.com/questions/14268887/what-is-the-illegal-instruction-4-error-and-why-does-mmacosx-versio... | 1,660 | 1,663 | 1,663 | NONE | null | ### System Info
```
Name: transformers
Version: 4.22.0.dev0
Name: tensorflow
Version: 2.5.0
Name: torch
Version: 1.12.1
Python 3.9.12
```
I keep getting the error 'Illegal instruction: 4 ' when trying to import TextClassificationPipeline from transformers, does this have anything to do with the vers... | {
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https://api.github.com/repos/huggingface/transformers/issues/18553 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18553/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18553/comments | https://api.github.com/repos/huggingface/transformers/issues/18553/events | https://github.com/huggingface/transformers/issues/18553 | 1,334,300,956 | I_kwDOCUB6oc5Ph9Ec | 18,553 | OWL-ViT outputs are offset for non-square images | {
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"I just saw that @alaradirik acknowledged this issue in the [Community tab of the Spaces demo](https://huggingface.co/spaces/adirik/OWL-ViT/discussions/1), but I'll keep this issue open, so it's easier for others to find.",
"I can also confirm that @cceyda 's finding works for me, i.e. doing\r\n```python\r\nimage... | 1,660 | 1,660 | 1,660 | NONE | null | ### System Info
- `transformers` version: 4.21.1
- Platform: Linux-5.10.43.3-microsoft-standard-WSL2-x86_64-with-glibc2.29
- Python version: 3.8.10
- Huggingface_hub version: 0.8.1
- PyTorch version (GPU?): 1.12.1+cu102 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not... | {
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https://api.github.com/repos/huggingface/transformers/issues/18552 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18552/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18552/comments | https://api.github.com/repos/huggingface/transformers/issues/18552/events | https://github.com/huggingface/transformers/issues/18552 | 1,334,165,201 | I_kwDOCUB6oc5Phb7R | 18,552 | wav2vec2 : No MSELoss implementation | {
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"Hey @LaurenceYozi\r\n\r\nIndeed! The MSE loss is not implemented. Would you like to open a PR to add this? You can refer to BERT for the loss function/labels logic:\r\nhttps://github.com/huggingface/transformers/blob/cfd623a859890c6d106610d3c688064eadc7bd61/src/transformers/models/bert/modeling_bert.py#L1578-L1598... | 1,660 | 1,665 | 1,665 | NONE | null | ### System Info
modeling_wav2vec2.py : 1822 lines only implements CrossEntropyLoss()
if labels is not None:
loss_fct = CrossEntropyLoss()
loss = loss_fct(logits.view(-1, self.config.num_labels), labels.view(-1))
labels (torch.LongTensor of shape (batch_size,), optional) — Labels for ... | {
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https://api.github.com/repos/huggingface/transformers/issues/18551 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18551/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18551/comments | https://api.github.com/repos/huggingface/transformers/issues/18551/events | https://github.com/huggingface/transformers/pull/18551 | 1,333,910,647 | PR_kwDOCUB6oc4869QK | 18,551 | PEGASUS-X | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"cc @ArthurZucker ",
"On it 🤗",
"I can follow up on the rest of the feedback this weekend / early next week: most of it looks manageable.\r\n\r\nOne comment on `DimensionInfo`: I use it to capture all of the shape-related attribu... | 1,660 | 1,667 | 1,662 | CONTRIBUTOR | null | # What does this PR do?
Adds [PEGASUS-X](https://arxiv.org/abs/2208.04347) implementation.
## 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/m... | {
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https://api.github.com/repos/huggingface/transformers/issues/18550 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18550/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18550/comments | https://api.github.com/repos/huggingface/transformers/issues/18550/events | https://github.com/huggingface/transformers/pull/18550 | 1,333,891,537 | PR_kwDOCUB6oc4865QL | 18,550 | Update philosophy to include other preprocessing classes | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,660 | 1,660 | 1,660 | MEMBER | null | This PR removes the emphasis on NLP and focuses more on `transformers` being designed for all modalities. | {
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https://api.github.com/repos/huggingface/transformers/issues/18549 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18549/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18549/comments | https://api.github.com/repos/huggingface/transformers/issues/18549/events | https://github.com/huggingface/transformers/issues/18549 | 1,333,784,900 | I_kwDOCUB6oc5Pf_FE | 18,549 | fail to import import transformers.trainer due to libssl.so.10: cannot open shared object file: No such file or directory | {
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"I am not exacly sure how solve it. But bascially I tried all combination from pip and conda and somehow it works.",
"I don't think this should be closed as I'm getting the same error on `continuumio/anaconda3` after `conda install -c huggingface transformers` but `pip install transformers` did work.",
"Got the... | 1,660 | 1,705 | 1,660 | NONE | null | ### System Info
Traceback (most recent call last):
File "/home/xxie92/anaconda3/envs/sema/lib/python3.8/site-packages/transformers/utils/import_utils.py", line 1002, in _get_module
return importlib.import_module("." + module_name, self.__name__)
File "/home/xxie92/anaconda3/envs/sema/lib/python3.8/imp... | {
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] | 1,660 | 1,660 | 1,660 | MEMBER | null | This PR updates the `build_doc` with the `build_pr_documentation` job and how to see where things went wrong if the job fails. | {
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https://api.github.com/repos/huggingface/transformers/issues/18547 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18547/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18547/comments | https://api.github.com/repos/huggingface/transformers/issues/18547/events | https://github.com/huggingface/transformers/pull/18547 | 1,333,511,548 | PR_kwDOCUB6oc485oiT | 18,547 | Fix memory leak issue in `torch_fx` tests | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"- without new process\r\n - 2~3 minutes for 100 runs\r\n - 15 MB leak per run\r\n\r\n- with `fork`\r\n - 5 minutes for 100 runs\r\n - 1 MB leak per run\r\n - hangs if `MKL_NUM_THREADS` > 1\r\n\r\n- with `spawn`\r\n - 30 minutes... | 1,660 | 1,661 | 1,661 | COLLABORATOR | null | # What does this PR do?
~~**Question**: On GPU VMs, we have to use `spawn`, see [here](https://github.com/huggingface/transformers/pull/18547#issuecomment-1210375716). However, it still hangs with `spawn` (I can't figure out this yet). Should we have 2 branches: one using new process for CPU VM (on CircleCI), and an... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@gante I think it's better to replace \r\n\r\n```python\r\nflat_x = tf.reshape(x, (-1, x.shape[-1]))\r\nflat_indices = tf.reshape(indices, (-1, indices.shape[-1]))\r\ngathered = tf.gather(flat_x, flat_indices, batch_dims=1)\r\ngather... | 1,660 | 1,660 | 1,660 | MEMBER | null | # What does this PR do?
As discussed in https://github.com/huggingface/transformers/issues/18476 and https://github.com/huggingface/transformers/issues/18239, there are two problems while training DeBERTa v2 with TensorFlow:
1. `TFDebertaV2StableDropout` doesn't work at training time (actually, its logic is only tr... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,660 | 1,660 | 1,660 | COLLABORATOR | null | # What does this PR do?
As was reported in #18537, when using `AutoConfig` inside the `AutoModel.from_pretrained` method, some kwargs are deleted and not passed to the `from_pretrained` method of the model. This PR makes sure they are preserved for those calls.
Fixes #18537 | {
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https://api.github.com/repos/huggingface/transformers/issues/18544 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18544/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18544/comments | https://api.github.com/repos/huggingface/transformers/issues/18544/events | https://github.com/huggingface/transformers/pull/18544 | 1,333,306,248 | PR_kwDOCUB6oc48488C | 18,544 | german docs translation | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"I think it's preferable to use the more formal option, but in most cases, I'd prefer to reformulate the sentences to use the first person plural (wir) unless the sentence actually describes an action the user has to take. We're using... | 1,660 | 1,660 | 1,660 | 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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"Hi,\r\n\r\nthanks for spotting, feel free to fix it in #18020 ",
"Will do!",
"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 g... | 1,660 | 1,663 | 1,663 | CONTRIBUTOR | null | Hey @NielsRogge
I found an inconsistency in the documentation and the code for configuration of GroupViT. The default for `num_output_groups` is `[64, 8, 8]` (notice the last element in the list), while that documented is `[64, 8, 0]`. It would be great if we could make the two consistent.
https://github.com/hug... | {
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https://api.github.com/repos/huggingface/transformers/issues/18542 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18542/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18542/comments | https://api.github.com/repos/huggingface/transformers/issues/18542/events | https://github.com/huggingface/transformers/pull/18542 | 1,333,036,490 | PR_kwDOCUB6oc484Ce0 | 18,542 | [Test] Fix redirected links issue | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"This should be fixed upstream (there's an open issue IIRC)",
"Okay I see! I think that you are referring to this issue: https://github.com/huggingface/transformers/issues/17582 posting it here for visibility!\r\nI can't see any rel... | 1,660 | 1,660 | 1,660 | CONTRIBUTOR | null | # What does this PR do?
This PR tries to address the issue of loading a model when the original link is redirected. This happened for BLOOM models where the repo ids has been changed but the code does not take into account redirected links.
I am not sure how to properly test if this does not break anything so I am... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thanks for making the change 👍 "
] | 1,660 | 1,662 | 1,660 | COLLABORATOR | null | # What does this PR do?
Use `type(self).__name__` instead of `str(self).lower()`.
This is a follow-up of [this comment](https://github.com/huggingface/transformers/pull/18097#discussion_r926907848) by @gante. | {
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https://api.github.com/repos/huggingface/transformers/issues/18540 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18540/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18540/comments | https://api.github.com/repos/huggingface/transformers/issues/18540/events | https://github.com/huggingface/transformers/pull/18540 | 1,332,911,923 | PR_kwDOCUB6oc483nrS | 18,540 | BART - Fix attention mask device issue on copied models | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"I guess the reason we did not see it yet for other models using the same attention mask pre-processing function is that those models does not support `device_map=auto` yet (tried it with PegasusForCausalLM only) ",
"BART slow tests... | 1,660 | 1,660 | 1,660 | CONTRIBUTOR | null | # What does this PR do?
This PR fixes a small issue when combining `device_map=auto` and OPT. When running the script below (tested it on my VM + Google Colab) (`pip install accelerate && pip install transformers`)
```
from transformers import AutoModelForCausalLM, AutoTokenizer
MAX_NEW_TOKENS = 128
model_na... | {
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https://api.github.com/repos/huggingface/transformers/issues/18539 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18539/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18539/comments | https://api.github.com/repos/huggingface/transformers/issues/18539/events | https://github.com/huggingface/transformers/issues/18539 | 1,332,784,120 | I_kwDOCUB6oc5PcKv4 | 18,539 | Thoughts on updating package metadata | {
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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... | 1,660 | 1,663 | 1,663 | NONE | null | ### Feature request
Switch to modern Python packaging standards.
### Motivation
The Python packaging ecosystem has standardized on the interface for build backends ([PEP 517](https://peps.python.org/pep-0517/)/[PEP 660](https://peps.python.org/pep-0660/)) and the format for metadata declaration ([PEP 621](https://pe... | {
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https://api.github.com/repos/huggingface/transformers/issues/18538 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18538/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18538/comments | https://api.github.com/repos/huggingface/transformers/issues/18538/events | https://github.com/huggingface/transformers/issues/18538 | 1,332,721,088 | I_kwDOCUB6oc5Pb7XA | 18,538 | AttributeError: 'LayoutLMForTokenClassification' object has no attribute 'config' | {
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"Hi,\r\n\r\nThis question seems better suited for our [forum](https://discuss.huggingface.co/). Would you be able to post your question there?\r\n\r\nThanks!",
"ok sir"
] | 1,660 | 1,660 | 1,660 | NONE | null | ### System Info
Adding image embeddings to layoutLM makes the model unconvertable
After following the - https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/LayoutLM/Add_image_embeddings_to_LayoutLM.ipynb
I wanted to convert the .pt model to onnx. The issue is that the changes ma... | {
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"cc @sgugger ",
"Thanks for flagging! The PR linked above should solve this.",
"Appreciate the quick turnaround :)"
] | 1,660 | 1,660 | 1,660 | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.21.1
- Platform: macOS-12.4-arm64-arm-64bit
- Python version: 3.10.5
- Huggingface_hub version: 0.8.1
- PyTorch version (GPU?): 1.12.1 (False)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not inst... | {
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https://api.github.com/repos/huggingface/transformers/issues/18536 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18536/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18536/comments | https://api.github.com/repos/huggingface/transformers/issues/18536/events | https://github.com/huggingface/transformers/pull/18536 | 1,332,509,345 | PR_kwDOCUB6oc482Rpu | 18,536 | Propose file change | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_18536). 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... | 1,660 | 1,663 | 1,663 | NONE | null | I am looking to start contributing to OSS on GitHub and trying it out first with some simple grammar fixes. | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,659 | 1,660 | 1,660 | MEMBER | null | This PR updates the fine-tuning tutorial to use Evaluate instead of Metrics 🙂 | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,659 | 1,660 | 1,660 | COLLABORATOR | null | # What does this PR do?
This PR tries to limit the calls to requests.head made for cached models every time we try to load them. Currently on the main branch, a call to the following objects results to the following number of underlying calls to the API:
- AutoConfig: 1 (fiou)
- AutoModel: 2 (model + config)
- Au... | {
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https://api.github.com/repos/huggingface/transformers/issues/18533 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18533/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18533/comments | https://api.github.com/repos/huggingface/transformers/issues/18533/events | https://github.com/huggingface/transformers/pull/18533 | 1,332,171,845 | PR_kwDOCUB6oc481HzN | 18,533 | Add ConvNeXt Mask R-CNN | {
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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... | 1,659 | 1,667 | 1,667 | CONTRIBUTOR | null | # What does this PR do?
This PR is an initial draft for implementing the classic Mask R-CNN framework with ConvNeXt as backbone.
The framework is implemented in a single script, with the exception of 3 files (for now):
* assign_result.py
* losses.py
* mask_target.py
As we have a one model, one file policy,... | {
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https://api.github.com/repos/huggingface/transformers/issues/18532 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18532/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18532/comments | https://api.github.com/repos/huggingface/transformers/issues/18532/events | https://github.com/huggingface/transformers/pull/18532 | 1,332,085,347 | PR_kwDOCUB6oc4801Hv | 18,532 | Update perf_train_gpu_one.mdx | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,659 | 1,659 | 1,659 | CONTRIBUTOR | null | Fixes doc newlines (which is causing markdown parser errors)
preview rendering correctly:
<img width="500" alt="Screenshot 2022-08-08 at 18 35 08" src="https://user-images.githubusercontent.com/11827707/183468189-0be58ab5-b1fa-4a98-a4f4-ae4751960933.png">
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https://api.github.com/repos/huggingface/transformers/issues/18531 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18531/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18531/comments | https://api.github.com/repos/huggingface/transformers/issues/18531/events | https://github.com/huggingface/transformers/pull/18531 | 1,332,079,285 | PR_kwDOCUB6oc480zzy | 18,531 | Update BLOOM parameter counts | {
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"Hi @Muennighoff !\r\nThanks for the fix, just FI the original model sizes were taken from: https://github.com/bigscience-workshop/bigscience/tree/master/train/tr11-176B-ml/smaller_models \r\nAnd I am afraid changing model names can lead to some breaking changes (thinking especially of all the Spaces that are using... | 1,659 | 1,660 | 1,660 | CONTRIBUTOR | null | Update parameter counts of BLOOM models. The original counts were incorrect & have already been updated on the hub.
I can't add reviewers, but @younesbelkada @thomasw21 may want to review
Script for counting:
```python
def count_parameters(model):
return sum(p.numel() for p in model.parameters() if p.requir... | {
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https://api.github.com/repos/huggingface/transformers/issues/18530 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18530/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18530/comments | https://api.github.com/repos/huggingface/transformers/issues/18530/events | https://github.com/huggingface/transformers/issues/18530 | 1,332,045,752 | I_kwDOCUB6oc5PZWe4 | 18,530 | [New Model] Donut: Document Understanding Transformer | {
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"See #18488 ",
"Cool to see you working there, thank you very much =D"
] | 1,659 | 1,659 | 1,659 | NONE | null | ### Model description
Donut doughnut, Document understanding transformer, is a new method of document understanding that utilizes an OCR-free end-to-end Transformer model. Donut does not require off-the-shelf OCR engines/APIs, yet it shows state-of-the-art performances on various visual document understanding tasks, s... | {
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https://api.github.com/repos/huggingface/transformers/issues/18529 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18529/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18529/comments | https://api.github.com/repos/huggingface/transformers/issues/18529/events | https://github.com/huggingface/transformers/pull/18529 | 1,332,014,565 | PR_kwDOCUB6oc480l1j | 18,529 | Fix ORTTrainer failure on DeBERTa(base/v2/sew_d) fp16 training | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_18529). All of your documentation changes will be reflected on that endpoint.",
"close as it turned to be too messy even after rebasing. "
] | 1,659 | 1,661 | 1,660 | CONTRIBUTOR | null | # What does this PR do?
__Context__
It was reported in optimum https://github.com/huggingface/optimum/issues/305 that the training on DeBERTa with optimum.onnxruntime.ORTTrainer is broken.
After investigation, the break comes from two causes:
* At that time `XDropOut` didn't have a symbolic function. And it ha... | {
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https://api.github.com/repos/huggingface/transformers/issues/18528 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18528/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18528/comments | https://api.github.com/repos/huggingface/transformers/issues/18528/events | https://github.com/huggingface/transformers/issues/18528 | 1,332,004,992 | I_kwDOCUB6oc5PZMiA | 18,528 | [New Model] LiLT: A Simple yet Effective Language-Independent Layout Transformer for Structured Document Understanding | {
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"Hi,\r\nthanks for your great effort. Contact me if any problem encountered :)",
"Closing as it has been added in #19450 "
] | 1,659 | 1,666 | 1,666 | NONE | null | ### Model description
Structured document understanding has attracted considerable attention and made significant progress recently, owing to its crucial role in intelligent document processing. However, most existing related models can only deal with the document data of specific language(s) (typically English) inclu... | {
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https://api.github.com/repos/huggingface/transformers/issues/18527 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18527/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18527/comments | https://api.github.com/repos/huggingface/transformers/issues/18527/events | https://github.com/huggingface/transformers/pull/18527 | 1,331,933,312 | PR_kwDOCUB6oc480UVe | 18,527 | unpin resampy | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Looks good! The test running time is also normal."
] | 1,659 | 1,659 | 1,659 | COLLABORATOR | null | # What does this PR do?
unpin resampy | {
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https://api.github.com/repos/huggingface/transformers/issues/18526 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18526/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18526/comments | https://api.github.com/repos/huggingface/transformers/issues/18526/events | https://github.com/huggingface/transformers/pull/18526 | 1,331,918,723 | PR_kwDOCUB6oc480RLN | 18,526 | Specify en in doc-builder README example | {
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] | 1,659 | 1,659 | 1,659 | CONTRIBUTOR | null | # What does this PR do?
Corrects a small typo in the docs README
Fixes #18508
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [ ] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/main/CONT... | {
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https://api.github.com/repos/huggingface/transformers/issues/18525 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18525/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18525/comments | https://api.github.com/repos/huggingface/transformers/issues/18525/events | https://github.com/huggingface/transformers/issues/18525 | 1,331,914,135 | I_kwDOCUB6oc5PY2WX | 18,525 | [Summary] Regarding memory issue in tests | {
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"**TensorFlow hangs if a TF model is forked**\r\n\r\nThis will hangs\r\n\r\n```python\r\nimport tensorflow as tf\r\nfrom transformers import TFDistilBertModel, DistilBertConfig\r\nimport multiprocessing\r\n\r\nconfig = DistilBertConfig()\r\nconfig.n_layers = 1\r\nconfig.n_heads = 2\r\nconfig.dim = 4\r\nconfig.hidde... | 1,659 | 1,663 | null | COLLABORATOR | null | ### Description
This is a short summary of the memory issue in our tests
### The following tests definitely have memory issues
- PyTorch (increase ~`15 MB` each call):
- test_torch_fx
- test_torch_fx_output_loss
- TensorFlow:
- test_xla_fit
- test_xla_generate_fast (increase ~`100 MB` each call)
... | {
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https://api.github.com/repos/huggingface/transformers/issues/18524 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18524/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18524/comments | https://api.github.com/repos/huggingface/transformers/issues/18524/events | https://github.com/huggingface/transformers/pull/18524 | 1,331,892,811 | PR_kwDOCUB6oc480LnP | 18,524 | Add EntityPairClassification Pipeline, AutoClass & LUKE ONNX Support | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_18524). All of your documentation changes will be reflected on that endpoint.",
"Hi @NielsRogge - what next steps would you suggest?\r\nHappy to make updates to the PR",
"I don't think it makes sense to create an auto-map... | 1,659 | 1,665 | 1,665 | NONE | null | # What does this PR do?
This PR started out in adding support for Luke in ONNX.
To not break existing AutoPatterns in [FeaturesManager](src/transformers/onnx/features.py), [AutoModelForEntityPairClassification](src/transformers/models/auto/modeling_auto.py) has also been added.
Additionally, a pipeline for [En... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Hi @NielsRogge , it is this file to add\r\n\r\n```\r\ndocker/transformers-all-latest-gpu/Dockerfile\r\n```",
"(The image will only be built tonight)\r\n\r\nIf you want to build it now + even run the doctest to make sure it works, ... | 1,659 | 1,659 | 1,659 | CONTRIBUTOR | null | # What does this PR do?
This PR fixes the fact that VideoMAE supports the doc tests, but wasn't actually run.
cc @ydshieh, could you point me where I need to add pip install decord to the setup of the machine that runs the doc tests? | {
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https://api.github.com/repos/huggingface/transformers/issues/18522 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18522/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18522/comments | https://api.github.com/repos/huggingface/transformers/issues/18522/events | https://github.com/huggingface/transformers/pull/18522 | 1,331,879,743 | PR_kwDOCUB6oc480Ixu | 18,522 | New cache fixes: add safeguard before looking in folders | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,659 | 1,659 | 1,659 | COLLABORATOR | null | # What does this PR do?
This PR adds a few fixes in the new cache functions, mainly to not call `os.listdir` on a folder that does not exist
Fixes #18517 | {
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https://api.github.com/repos/huggingface/transformers/issues/18521 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18521/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18521/comments | https://api.github.com/repos/huggingface/transformers/issues/18521/events | https://github.com/huggingface/transformers/pull/18521 | 1,331,853,920 | PR_kwDOCUB6oc480DGh | 18,521 | update fsdp docs | {
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] | 1,659 | 1,659 | 1,659 | CONTRIBUTOR | null | # What does this PR do?
1. updates FSDP doc to reflect the recently integrated features. | {
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https://api.github.com/repos/huggingface/transformers/issues/18520 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18520/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18520/comments | https://api.github.com/repos/huggingface/transformers/issues/18520/events | https://github.com/huggingface/transformers/pull/18520 | 1,331,731,498 | PR_kwDOCUB6oc48zobp | 18,520 | Image transforms library | {
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"@sgugger @NielsRogge @alaradirik @LysandreJik Adding you all for a first-pass review for the draft ImageProcessor work. This PR is failing because it's not safely importing e.g. `PIL` if it's not available, but the core logic shouldn't change. I'll add you to the follow up PRs too. Note: `ImageProcessor` has only... | 1,659 | 1,665 | 1,665 | COLLABORATOR | null | # What does this PR do?
This is the first of a series of PRs to replace feature extractors with image processors for vision models.
Create a new module `image_transforms.py` that will contain functions for transforming images e.g. `resize`.
The functions are designed to:
* Accept numpy arrays.
* Return n... | {
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https://api.github.com/repos/huggingface/transformers/issues/18519 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18519/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18519/comments | https://api.github.com/repos/huggingface/transformers/issues/18519/events | https://github.com/huggingface/transformers/pull/18519 | 1,331,672,790 | PR_kwDOCUB6oc48zbe0 | 18,519 | Add seed setting to image classification example | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,659 | 1,659 | 1,659 | 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/18518 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18518/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18518/comments | https://api.github.com/repos/huggingface/transformers/issues/18518/events | https://github.com/huggingface/transformers/issues/18518 | 1,331,668,263 | I_kwDOCUB6oc5PX6Un | 18,518 | onnx run error at translation model | {
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"Hey @regisss @JingyaHuang @michaelbenayoun, do you have ideas about what might be happening there? I never used onnxruntime's `InferenceSession`.",
"@xyx361100238 The error message says that the model requires 4 inputs but you are providing only 2 of them. Either you need to provide the missing inputs, or you n... | 1,659 | 1,669 | 1,662 | NONE | null | ### System Info
- `transformers` version: 4.17.0
- Platform: Linux-5.4.0-122-generic-x86_64-with-debian-bullseye-sid
- Python version: 3.7.11
- PyTorch version (GPU?): 1.8.1 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not installed
... | {
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https://api.github.com/repos/huggingface/transformers/issues/18517 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18517/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18517/comments | https://api.github.com/repos/huggingface/transformers/issues/18517/events | https://github.com/huggingface/transformers/issues/18517 | 1,331,655,054 | I_kwDOCUB6oc5PX3GO | 18,517 | layoutlmv3 processor | {
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"cc @sgugger ",
"Is that the entire stacktrace, @founou-rihab ?"
] | 1,659 | 1,659 | 1,659 | NONE | null | ### System Info
```shell
The cache for model files in Transformers v4.22.0 has been updated. Migrating your old cache. This is a one-time only operation. You can interrupt this and resume the migration later on by calling `transformers.utils.move_cache()`.
There was a problem when trying to move your cache:
File... | {
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https://api.github.com/repos/huggingface/transformers/issues/18516 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18516/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18516/comments | https://api.github.com/repos/huggingface/transformers/issues/18516/events | https://github.com/huggingface/transformers/pull/18516 | 1,331,618,844 | PR_kwDOCUB6oc48zPyt | 18,516 | [DX fix] Fixing QA pipeline streaming a dataset. | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,659 | 1,659 | 1,659 | CONTRIBUTOR | null | # What does this PR do?
Linked to https://github.com/huggingface/transformers/issues/18510
Enabling nicer code.
The dataset example of the docs : https://huggingface.co/docs/transformers/pipeline_tutorial#audio-pipeline
Wouldn't work as nicely on QA because of `QuestionAnsweringArgumentHandler`.
This han... | {
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https://api.github.com/repos/huggingface/transformers/issues/18515 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18515/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18515/comments | https://api.github.com/repos/huggingface/transformers/issues/18515/events | https://github.com/huggingface/transformers/pull/18515 | 1,331,540,406 | PR_kwDOCUB6oc48y-9C | 18,515 | Adds CLIP to models exportable with ONNX | {
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"Hi, @unography. Could you give us a more detailed traceback, please?\r\n\r\nIt's hard to say without the script command and the full traceback.",
"> Hi, @unography. Could you give us a more detailed traceback, please?\r\n> \r\n> It's hard to say without the script command and the full traceback.\r\n\r\nthis is t... | 1,659 | 1,660 | 1,660 | CONTRIBUTOR | null | This isn't currently working, getting an error while validating the model -
```
onnxruntime.capi.onnxruntime_pybind11_state.InvalidArgument: [ONNXRuntimeError] : 2 : INVALID_ARGUMENT : Unexpected input data type. Actual: (tensor(float)) , expected: (tensor(int64))
```
Environment:
Pytorch: 1.13.0.dev20220806
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https://api.github.com/repos/huggingface/transformers/issues/18514 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18514/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18514/comments | https://api.github.com/repos/huggingface/transformers/issues/18514/events | https://github.com/huggingface/transformers/pull/18514 | 1,331,492,617 | PR_kwDOCUB6oc48y0ob | 18,514 | unpin torch to use 1.12.1 | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Let's maybe add a `!=1.12.0` as well. cc @sgugger, who also has a PR open here: https://github.com/huggingface/transformers/pull/17925",
"Here are the tests to fix before we can use 1.12.1\r\n\r\n - tests/models/tapas/test_modelin... | 1,659 | 1,662 | 1,659 | COLLABORATOR | null | # What does this PR do?
unpin torch to use 1.12.1 | {
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https://api.github.com/repos/huggingface/transformers/issues/18513 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18513/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18513/comments | https://api.github.com/repos/huggingface/transformers/issues/18513/events | https://github.com/huggingface/transformers/issues/18513 | 1,331,073,716 | I_kwDOCUB6oc5PVpK0 | 18,513 | VisionEncoderDecoderModel gradient checkpointing | {
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"@NielsRogge, have you seen such examples? :)",
"Here's a PR that added gradient checkpointing to T5: https://github.com/huggingface/transformers/pull/11353/files",
"Fixed per #18697"
] | 1,659 | 1,661 | 1,661 | NONE | null | ### Feature request
Would love to be able to use gradient checkpointing on VisionEncoderDecoder model.
>>> model.gradient_checkpointing_enable()
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/opt/conda/lib/python3.8/site-packages/transformers/modeling_utils.py", line 1418, in gr... | {
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https://api.github.com/repos/huggingface/transformers/issues/18512 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18512/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18512/comments | https://api.github.com/repos/huggingface/transformers/issues/18512/events | https://github.com/huggingface/transformers/pull/18512 | 1,331,069,782 | PR_kwDOCUB6oc48xbxs | 18,512 | Add Spanish translation of converting_tensorflow_models.mdx | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Hola @omarespejel. This PR is ready for review. Can you help me here? Thx a lot!",
"@donelianc muchas gracias for the translation! I added a few comments as a review 🚀.",
"@omarespejel suggested changes done 😀",
"Muchas graci... | 1,659 | 1,659 | 1,659 | CONTRIBUTOR | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/18511 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18511/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18511/comments | https://api.github.com/repos/huggingface/transformers/issues/18511/events | https://github.com/huggingface/transformers/issues/18511 | 1,330,953,352 | I_kwDOCUB6oc5PVLyI | 18,511 | FSDP - TypeError: load_state_dict() got an unexpected keyword argument 'strict' | {
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"Hello @shrinath-suresh , this issue has to be fixed from PyTorch side. The issue raised with PyTorch has been linked above.",
"Also, when using `auto_wrap` please specify either `--fsdp_transformer_layer_cls_to_wrap <value>` or `--fsdp_min_num_params <number>` as part of cmd arguments. This is what enables shar... | 1,659 | 1,665 | 1,663 | NONE | null | ### System Info
```
- `transformers` version: 4.22.0.dev0
- Platform: Linux-5.4.0-1072-aws-x86_64-with-debian-buster-sid
- Python version: 3.7.10
- Huggingface_hub version: 0.8.1
- PyTorch version (GPU?): 1.12.0+cu102 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not in... | {
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https://api.github.com/repos/huggingface/transformers/issues/18510 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18510/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18510/comments | https://api.github.com/repos/huggingface/transformers/issues/18510/events | https://github.com/huggingface/transformers/issues/18510 | 1,330,928,879 | I_kwDOCUB6oc5PVFzv | 18,510 | Tqdm not working with question-answering pipeline | {
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"Hi there,\r\n\r\nTry this:\r\n\r\n```python\r\nfrom tqdm.auto import tqdm\r\nfrom transformers import pipeline\r\nfrom datasets import load_dataset\r\n\r\ndataset = load_dataset('cuad', split='test')\r\ndataset = dataset.remove_columns(['id', 'title', 'answers'])\r\n\r\nbatch_size = 16\r\nnlp = pipeline(\"question... | 1,659 | 1,659 | 1,659 | NONE | null | ### System Info
Running inside a notebook on Google Colab
- `transformers` version: 4.21.1
- Platform: Linux-5.4.188+-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.7.13
- Huggingface_hub version: 0.8.1
- PyTorch version (GPU?): 1.12.0+cu113 (True)
- Tensorflow version (GPU?): 2.8.2 (True)
- Flax version (... | {
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https://api.github.com/repos/huggingface/transformers/issues/18509 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18509/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18509/comments | https://api.github.com/repos/huggingface/transformers/issues/18509/events | https://github.com/huggingface/transformers/issues/18509 | 1,330,895,368 | I_kwDOCUB6oc5PU9oI | 18,509 | How to use run_glue.py with tensorboard? | {
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"Try using `--report_to tensorboard`"
] | 1,659 | 1,660 | 1,660 | NONE | null | ### System Info
I'm writting a folder path in --logging_dir but nothing is written there .
I've tried with
--logging_dir foldername
--logging_dir pathtofolder
But nothing works
@LysandreJik
@sgugger
### Who can help?
@sgugger
@LysandreJik
### Information
- [X] The official example scrip... | {
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https://api.github.com/repos/huggingface/transformers/issues/18508 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18508/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18508/comments | https://api.github.com/repos/huggingface/transformers/issues/18508/events | https://github.com/huggingface/transformers/issues/18508 | 1,330,866,608 | I_kwDOCUB6oc5PU2mw | 18,508 | Small typo in docs/README.md | {
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"Hey @ankrgyl! It seems that is correct! Would you like to open a PR to fix the problem? Happy to guide you through it if you need pointers; please ping @sgugger and myself on the PR. Thanks!",
"Hi, `CONTRIBUTING.md` also requires a language such as \"en\" to be specified in the doc-builder. @ankrgyl @LysandreJik... | 1,659 | 1,666 | 1,659 | CONTRIBUTOR | null | ### System Info
Working on main (commit 9129fd0377e4d46cb2d0ea28dc1eb91a15f65b77).
The suggested command:
```
doc-builder build transformers docs/source/ --build_dir ~/tmp/test-build
```
fails with:
```
FileNotFoundError: [Errno 2] No such file or directory: 'docs/source/_toctree.yml'
```
I think is... | {
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https://api.github.com/repos/huggingface/transformers/issues/18507 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18507/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18507/comments | https://api.github.com/repos/huggingface/transformers/issues/18507/events | https://github.com/huggingface/transformers/issues/18507 | 1,330,814,711 | I_kwDOCUB6oc5PUp73 | 18,507 | https://github.com/huggingface/transformers/blob/f0d496828d3da3bf1e3c8fbed394d7847e839fa6/src/transformers/models/funnel/modeling_funnel.py#L1004 | {
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"This does not look like an issue :) Closing \r\n\r\nFeel free to reopen with the actual question."
] | 1,659 | 1,660 | 1,660 | NONE | null | https://github.com/huggingface/transformers/blob/f0d496828d3da3bf1e3c8fbed394d7847e839fa6/src/transformers/models/funnel/modeling_funnel.py#L1004 | {
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https://api.github.com/repos/huggingface/transformers/issues/18506 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18506/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18506/comments | https://api.github.com/repos/huggingface/transformers/issues/18506/events | https://github.com/huggingface/transformers/issues/18506 | 1,330,732,913 | I_kwDOCUB6oc5PUV9x | 18,506 | bert-large-uncased gives `(1024) must match the size of tensor b (512) at non-singleton dimension 1` error | {
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"Hi @monk1337 \r\nThe loaded model has a maximum sequence length of 512 tokens.\r\n\r\nIf you use:\r\n`model = BertModel.from_pretrained(\"bert-large-uncased\", max_position_embeddings=1024)`\r\nThe model won't be loaded because the loaded checkpoint also relies on 512 tokens (wrong tensor size).\r\n\r\nIf you set ... | 1,659 | 1,663 | 1,663 | NONE | null | ### System Info
Python : python3.6
"transformers_version": "4.18.0"
### Who can help?
_No response_
### Information
- [X] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [X] My own task or dataset (give ... | {
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https://api.github.com/repos/huggingface/transformers/issues/18505 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18505/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18505/comments | https://api.github.com/repos/huggingface/transformers/issues/18505/events | https://github.com/huggingface/transformers/issues/18505 | 1,330,728,188 | I_kwDOCUB6oc5PUUz8 | 18,505 | Suppress `reset_parameters` of `torch.nn.Linear,Conv2d...` inside `no_init_weights` | {
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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... | 1,659 | 1,702 | 1,702 | CONTRIBUTOR | null | ### Feature request
`torch.nn.Linear,Conv2d...` will call `self.reset_parameters()` inside their `__init__`.
I'd like to make `reset_parameters` be a no-op inside `no_init_weights` context manager.
### Motivation
`no_init_weights` is used in `from_pretrained` to speed up loading large models.
However, torch-built-... | {
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https://api.github.com/repos/huggingface/transformers/issues/18504 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18504/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18504/comments | https://api.github.com/repos/huggingface/transformers/issues/18504/events | https://github.com/huggingface/transformers/pull/18504 | 1,330,725,212 | PR_kwDOCUB6oc48wZ0d | 18,504 | Restore _init_weights value in no_init_weights | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@sgugger has also been contributing extensively to that part of the code and might have something to say!",
"Thanks a lot for iterating on this!"
] | 1,659 | 1,660 | 1,660 | CONTRIBUTOR | null | Fend for potential nested use, and match the intuitive expectation for context managers().
In addition, users might modify private no_init_weights as well.
@patrickvonplaten @stas00 | {
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"@NielsRogge I'd like to work on adding this model if no one is working on it yet?",
"cc'ing @alaradirik, yes we're planning to add this model. If you're interested in it, feel free to get started with a draft PR. Note that we already have [MaskFormer](https://github.com/huggingface/transformers/tree/main/src/tra... | 1,659 | 1,668 | null | CONTRIBUTOR | null | ### Model description
Mask2Former is a single architecture for panoptic, instance and semantic segmentation.
**Mask2Former Paper Abstract**:
Image segmentation is about grouping pixels with different semantics, e.g., category or instance membership, where each choice of semantics defines a task. While only the sem... | {
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https://api.github.com/repos/huggingface/transformers/issues/18502 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18502/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18502/comments | https://api.github.com/repos/huggingface/transformers/issues/18502/events | https://github.com/huggingface/transformers/issues/18502 | 1,330,633,353 | I_kwDOCUB6oc5PT9qJ | 18,502 | The Document of LongT5 confilcts with and its example code of prefix | {
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"@stancld @patil-suraj Could you please help to solve this issue and tell me how to set and use special down tasks for LongT5? Thanks.",
"Hi @GabrielLin, with LongT5 model no prefix should be added to the input sentence. The doc example seems not to be accurate.",
"Hi, @stancld . Thank you for your reply. Could... | 1,659 | 1,662 | 1,662 | NONE | null | ### System Info
All.
### Who can help?
@patrickvonplaten
### Reproduction
See https://huggingface.co/docs/transformers/main/en/model_doc/longt5
### Expected behavior
In the above document, it said `Unlike the T5 model, LongT5 does not use a task prefix. Furthermore, it uses a different pre-trainin... | {
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https://api.github.com/repos/huggingface/transformers/issues/18501 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18501/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18501/comments | https://api.github.com/repos/huggingface/transformers/issues/18501/events | https://github.com/huggingface/transformers/issues/18501 | 1,330,586,343 | I_kwDOCUB6oc5PTyLn | 18,501 | Wav2Vec 2.0 model output logits related audio pad? | {
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"cc @sanchit-gandhi as well",
"@patrickvonplaten plz help!",
"Hey @YooSungHyun!\r\n\r\nI too have experienced differences in eval WER results by changing my padding strategy. In this case, I changed how I bucketed my inputs from bins of 2s to 1.5s, and got a 0.5% WER improvement when training on LibriSpeech 100... | 1,659 | 1,666 | 1,666 | NONE | null | ### System Info
ubuntu 18.04
python 3.6, 3.9
transformers 1.18.0
### Who can help?
@patrickvonplaten, @anton-l
### Information
- [X] The official example scripts
- [ ] My own modified scripts
### Tasks
- [X] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] M... | {
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https://api.github.com/repos/huggingface/transformers/issues/18500 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18500/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18500/comments | https://api.github.com/repos/huggingface/transformers/issues/18500/events | https://github.com/huggingface/transformers/pull/18500 | 1,330,418,791 | PR_kwDOCUB6oc48vlcp | 18,500 | Update to use interlibrary links instead of Markdown | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,659 | 1,659 | 1,659 | MEMBER | null | This PR updates Markdown links to other HF libraries with the doc-builder's interlibrary links instead. | {
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https://api.github.com/repos/huggingface/transformers/issues/18499 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18499/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18499/comments | https://api.github.com/repos/huggingface/transformers/issues/18499/events | https://github.com/huggingface/transformers/pull/18499 | 1,330,404,863 | PR_kwDOCUB6oc48vi-z | 18,499 | Update feature extractor methods to enable type cast before normalize | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"> Looks good to me! If the changes per model are small enough, it would probably be best to change them all in the same PR, rather than doing individual ones.\r\n\r\n@sgugger Yep, I completely agree. The changes all together aren't t... | 1,659 | 1,661 | 1,660 | COLLABORATOR | null | # What does this PR do?
At the moment, the return type of our feature extractors isn't always as expected or sometimes fails if a `do_xxx` config flag is set to `False`. This PR introduces the necessary changes to the `ImageFeatureExtractionMixin` methods such that we can modify the feature extractor calls to fix th... | {
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] | 1,659 | 1,659 | 1,659 | MEMBER | null | As suggested by @NielsRogge, this PR adds a small example of how to use a multimodal pipeline (VQA) in the pipeline tutorial. 🙂 | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"I still had an error mentioning `ImportError: cannot import name 'cached_path' from 'transformers.utils' `\r\n@ `tf.__version__ == '2.11.0'`. Is this related? What should i do?",
"You should stop using that function, as it has been... | 1,659 | 1,670 | 1,659 | COLLABORATOR | null | # What does this PR do?
This PR removes all uses of the old utils in Transformers to migrate to the new version using `cached_file`, and remove said utils from the Transformers library.
It is slightly breaking since we remove objects (in particular `cached_path` is in the main init albeit not documented), but those... | {
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https://api.github.com/repos/huggingface/transformers/issues/18496 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18496/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18496/comments | https://api.github.com/repos/huggingface/transformers/issues/18496/events | https://github.com/huggingface/transformers/issues/18496 | 1,330,235,211 | I_kwDOCUB6oc5PScdL | 18,496 | TF to ONNX export fails with large models | {
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"cc @JingyaHuang @michaelbenayoun ",
"If there are no onnx-level solutions, it may be due to TF1 code (embeddings) in our models -- see https://github.com/tensorflow/tensorflow/issues/45041\r\n\r\nRewriting embeddings into TF2 code is in our to do list, which may fix this issue.",
"TF2ONNX offers the [support f... | 1,659 | 1,663 | 1,663 | NONE | null | ### System Info
- `transformers` version: 4.21.1
- Platform: Linux-4.15.0-187-generic-x86_64-with-debian-buster-sid
- Python version: 3.7.5
- Huggingface_hub version: 0.8.1
- PyTorch version (GPU?): not installed (NA)
- Tensorflow version (GPU?): 2.7.0 (False)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
... | {
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https://api.github.com/repos/huggingface/transformers/issues/18495 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18495/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18495/comments | https://api.github.com/repos/huggingface/transformers/issues/18495/events | https://github.com/huggingface/transformers/issues/18495 | 1,330,187,700 | I_kwDOCUB6oc5PSQ20 | 18,495 | TF to ONNX export fails with CLI using example from docs | {
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"Hmmm that's interesting, indeed!\r\n\r\nThe docs should be updated, but it would be nice to also support this out of the box. Would you like to try your hand at a PR? \r\n\r\ncc @lewtun @michaelbenayoun @JingyaHuang for knowledge",
"Sure, I can try making a PR for it! Will be doing so from my personal account, @... | 1,659 | 1,662 | 1,662 | NONE | null | ### System Info
- `transformers` version: 4.21.1
- Platform: Linux-4.15.0-187-generic-x86_64-with-debian-buster-sid
- Python version: 3.7.5
- Huggingface_hub version: 0.8.1
- PyTorch version (GPU?): not installed (NA)
- Tensorflow version (GPU?): 2.7.0 (False)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thanks @julien-c . am getting a new error\r\nMy guess this is on the pytorch op.\r\n> NotImplementedError: The operator 'aten::unique_consecutive' is not current implemented for the MPS device. If you want this op to be added in pri... | 1,659 | 1,660 | 1,660 | MEMBER | null | No tests yet given we don't officially support `torch==1.12` yet (and M1-based CI is still a work in progress) | {
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] | 1,659 | 1,659 | 1,659 | COLLABORATOR | null | # What does this PR do?
This PR relocates the cache to just `~/.cache/huggingface/` when no environment variable has been set. Users having pulled between #18348 and now will need to move their cache manually. | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_18491). All of your documentation changes will be reflected on that endpoint.",
"cc @sgugger ",
"Do you have a full example of the error you are reporting I could run? I am unable to reproduce it. Something like the [test... | 1,659 | 1,663 | 1,663 | NONE | null | # What does this PR do?
Currently when we want to register a new config+tokenizer+model, per [the instructions](https://huggingface.co/docs/transformers/model_doc/auto), it seems we should do the following:
```
from transformers import AutoConfig, AutoModel
AutoConfig.register("new-model", NewModelConfig)
Au... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Failures are due to `ERROR tests/sagemaker/scripts/pytorch/run_glue_model_parallelism.py` trying to be run in a non-torch setup and without the appropriate decorator setup; Fine to ignore the failure for me."
] | 1,659 | 1,659 | 1,659 | MEMBER | null | null | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"I have implemented a new `DonutSwinModel`, that copies everything of `SwinModel`, except the final layer norm. I've added it in a file called `modeling_donut_swin.py` (and implemented a corresponding `DonutSwinConfig` in `configurati... | 1,659 | 1,660 | 1,660 | CONTRIBUTOR | null | # What does this PR do?
This PR adds Donut to the library. Donut is to LayoutLM what T5 is to BERT. :D
The model is implemented as an instance of our existing `VisionEncoderDecoderModel`.
See also https://github.com/clovaai/donut/issues/10#issue-1324734927
To do:
- [x] move repos to appropriate organiza... | {
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"> Why weren't these ran on the original PR ?\r\n\r\nCause the common test files used not only have the tester for each pipeline, not tests of its own, so is not triggered by the `tests_fetcher`. Will fix in this PR as well.",
"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,659 | 1,659 | 1,659 | COLLABORATOR | null | # What does this PR do?
Changes in #18392 broke tests in the pipelines, this PR fixes them. | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"You will also need to apply the same changes to all the models that are touched by the change in embedding (mBART, plBARt etc) to have the tests passing.",
"@sgugger I am iterating through. 👍 thanks for the heads up, though!",
"... | 1,659 | 1,660 | 1,660 | CONTRIBUTOR | null | As outlined in #18425, this PR changes the signature of `BartLearnedPositionalEmbedding`'s forward method signature to take the `input_ids` tensor (and not just its shape). This is needed to enable private training of BART via DP-SGD in Opacus. PR welcomed by @sgugger in linked issue.
Fixes #18425. | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,659 | 1,659 | 1,659 | COLLABORATOR | null | The experiment was fun (not).
As we are getting a rise in issues of users complaining typecheckers are not happy with our annotations, which we have chosen to keep simple for the sake of documentation, this PR removes the `py.typed` file indicating to type-checkers that Transformers is properly typed.
It is not, ... | {
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] | 1,659 | 1,662 | 1,659 | COLLABORATOR | null | # What does this PR do?
It took me some time to figure out the test failure is due to different `resampy` versions. Some current values work with `0.2.2`, but not with `0.3.0`.
[current failed job](https://github.com/huggingface/transformers/runs/7682932969?check_suite_focus=true) | {
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"Changed Kernel: `conda_tensorflow2_p38`"
] | 1,659 | 1,659 | 1,659 | NONE | null | ### System Info
Goal: Run a **GPT-2** model instance.
I am using the latest Tensorflow and Hugging Face 🤗 Transformers.
- Tensorflow - 2.9.1
- Transformers - 4.21.1
Notebook:
```
pip install tensorflow
```
```
pip install transformers
```
```
from transformers import pipeline, set_seed
generator = ... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"I think we can update the results instead yes:\r\n\r\nThe original string didn't have the typo:\r\n\r\nhttps://github.com/huggingface/transformers/issues/5077#issuecomment-656398617\r\n\r\nSo probably my bad in putting it into a test... | 1,659 | 1,662 | 1,659 | COLLABORATOR | null | # What does this PR do?
Fix #18405
I originally stated this is an expected value - it turns out to be an **input sentence**. But probably it is still intentional to have `the the`. | {
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Let's give TF a bit more space. | {
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"I believe this is because [this line in `modeling_vision_text_dual_encoder.py`](https://github.com/huggingface/transformers/blob/14928921e2f6d5b049d8dcfa07982e9ca351a402/src/transformers/models/vision_text_dual_encoder/modeling_vision_text_dual_encoder.py#L368) passes a keyword argument `token_type_ids` to the `te... | 1,659 | 1,663 | 1,663 | NONE | null | ### System Info
- `transformers` version: 4.20.1
- Platform: Linux-5.10.133+-x86_64-with-debian-bullseye-sid
- Python version: 3.7.12
- Huggingface_hub version: 0.8.1
- PyTorch version (GPU?): 1.11.0 (True)
- Tensorflow version (GPU?): 2.6.4 (True)
- Flax version (CPU?/GPU?/TPU?): 0.5.2 (gpu)
- Jax version: 0... | {
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https://api.github.com/repos/huggingface/transformers/issues/18479 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18479/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18479/comments | https://api.github.com/repos/huggingface/transformers/issues/18479/events | https://github.com/huggingface/transformers/pull/18479 | 1,329,406,393 | PR_kwDOCUB6oc48sLVn | 18,479 | join last hidden states of layers for BertForSequenceClassification | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_18479). All of your documentation changes will be reflected on that endpoint.",
"Hey @dantruonghtno1, was this discussed in an issue somewhere? We're very unlikely to merge this as it seems like a niche use-case that adds a... | 1,659 | 1,663 | 1,663 | NONE | null | # What does this PR do?
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Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
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https://api.github.com/repos/huggingface/transformers/issues/18478 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18478/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18478/comments | https://api.github.com/repos/huggingface/transformers/issues/18478/events | https://github.com/huggingface/transformers/issues/18478 | 1,329,385,185 | I_kwDOCUB6oc5PPM7h | 18,478 | How to do batch inference in GPT-J | {
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"Maybe @gante can help out regarding generate",
"EDIT: removed this comment, a correct example is given below.\r\n",
"@gante ,Thanks for your reply! \r\nActually, your reply just made me a bit confused about the padding things. Why do we need to do the left padding? Typically, I think we are doing the RHS paddi... | 1,659 | 1,669 | 1,659 | NONE | null | ### System Info
- `transformers` version: 4.21.1
- Platform: Linux-4.15.0-189-generic-x86_64-with-debian-buster-sid
- Python version: 3.7.3
- Huggingface_hub version: 0.8.1
- PyTorch version (GPU?): 1.7.1 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)... | {
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https://api.github.com/repos/huggingface/transformers/issues/18477 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18477/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18477/comments | https://api.github.com/repos/huggingface/transformers/issues/18477/events | https://github.com/huggingface/transformers/pull/18477 | 1,329,326,701 | PR_kwDOCUB6oc48r64K | 18,477 | Spanish translation of summarization.mdx (#15947) | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Muchas gracias @AguilaCudicio por la traducción! Agregué algunos comentarios en el review.",
"Gracias @AguilaCudicio for the translation! 🚀\r\n\r\n@sgugger LGTM :)"
] | 1,659 | 1,659 | 1,659 | CONTRIBUTOR | null | Spanish translation of summarization.mdx (#15947)
<!-- Remove if not applicable -->
Fixes #15947 (issue)
## 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/tr... | {
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https://api.github.com/repos/huggingface/transformers/issues/18476 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18476/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18476/comments | https://api.github.com/repos/huggingface/transformers/issues/18476/events | https://github.com/huggingface/transformers/issues/18476 | 1,329,105,139 | I_kwDOCUB6oc5POIjz | 18,476 | Fine tuning TensorFlow DeBERTa fails on TPU | {
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"Hi @tmoroder 👋 Thank you for adding all that information to the issue <3 \r\n\r\nIf I got it right, the second notebook replaces the `take_along_axis` function, and the third notebook also replaces the custom dropout. Still, there are XLA exceptions.\r\n\r\nBefore diving into debugging, two questions:\r\n1. Does ... | 1,659 | 1,660 | 1,660 | NONE | null | ### System Info
Latest version of transformers, Colab TPU, tensorflow 2.
- Colab TPU
- transformers: 4.21.0
- tensorflow: 2.8.2 / 2.6.2
- Python 3.7
### Who can help?
@LysandreJik, @Rocketknight1, @san
### Information
- [ ] The official example scripts
- [X] My own modified scripts
### Tasks
- [ ] An offic... | {
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https://api.github.com/repos/huggingface/transformers/issues/18475 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18475/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18475/comments | https://api.github.com/repos/huggingface/transformers/issues/18475/events | https://github.com/huggingface/transformers/pull/18475 | 1,329,002,189 | PR_kwDOCUB6oc48q299 | 18,475 | Add type hints to XLM-Roberta-XL models | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Hello @Rocketknight1 , just reminding you of this ",
"Hi @asofiaoliveira, I'm extremely sorry for the delay here! The PR is perfect, and I'm merging now!"
] | 1,659 | 1,662 | 1,662 | CONTRIBUTOR | null | This PR adds type hints for the PyTorch XLM-Roberta-XL as mentioned in #16059
@Rocketknight1 | {
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