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https://api.github.com/repos/huggingface/transformers/issues/19782 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19782/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19782/comments | https://api.github.com/repos/huggingface/transformers/issues/19782/events | https://github.com/huggingface/transformers/issues/19782 | 1,417,608,039 | I_kwDOCUB6oc5Ufvtn | 19,782 | Add Flan-T5 Checkpoints | {
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"Cool! cc @patrickvonplaten ",
"FYI the conversion script can be found here: https://github.com/huggingface/transformers/blob/main/src/transformers/models/t5/convert_t5x_checkpoint_to_flax.py",
"cc @younesbelkada @ArthurZucker one of you interested in taking it? :-) ",
"Yes! On it 🤗 ",
"They are available ... | 1,666 | 1,667 | 1,666 | NONE | null | ### Model description
Flan-T5 models are instruction-finetuned from the T5 v1.1 LM-adapted checkpoints. They can be directly used for few-shot prompting as well as standard fine-tuning. Here is the [paper](https://arxiv.org/abs/2210.11416).
### Open source status
- [X] The model implementation is available
- [X] The... | {
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https://api.github.com/repos/huggingface/transformers/issues/19781 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19781/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19781/comments | https://api.github.com/repos/huggingface/transformers/issues/19781/events | https://github.com/huggingface/transformers/issues/19781 | 1,417,579,677 | I_kwDOCUB6oc5Ufoyd | 19,781 | `"transformers_version"` is not enforced | {
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"It is just informative (and saved automatically, not selected by the user), so it is by no way a minimal version required for the model.",
"thanks!\r\n\r\nDon't we want a way to enforce that a certain checkpoint will be loaded only by a specific version?\r\nCurrently users may download checkpoints, load them suc... | 1,666 | 1,666 | 1,666 | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.21.1
- Platform: macOS-10.16-x86_64-i386-64bit
- Python version: 3.9.7
- Huggingface_hub version: 0.8.1
- PyTorch version (GPU?): 1.9.1 (False)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not insta... | {
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https://api.github.com/repos/huggingface/transformers/issues/19780 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19780/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19780/comments | https://api.github.com/repos/huggingface/transformers/issues/19780/events | https://github.com/huggingface/transformers/issues/19780 | 1,417,563,541 | I_kwDOCUB6oc5Ufk2V | 19,780 | Issue when exporting SwinForImageClassification to ONNX format | {
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"You can try a slightly less strict absolute difference, as explained here: https://github.com/huggingface/transformers/issues/15716#issuecomment-1044630255",
"Hello @NielsRogge, thank your for this quick response !\r\nI was not clear, the test is not failing for a bad reason: the outputs are actually significant... | 1,666 | 1,672 | 1,672 | NONE | null | ### System Info
### 1. Libraries version
transformers == 4.23.1 / torch == 1.12.1 / onnx = 1.12.0
### 2. Context
I trained an Image Classifier using `SwinForImageClassification` with a custom number of labels. I want to put it in production using the ONNX format. So I need to export my model in this format.
### ... | {
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https://api.github.com/repos/huggingface/transformers/issues/19779 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19779/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19779/comments | https://api.github.com/repos/huggingface/transformers/issues/19779/events | https://github.com/huggingface/transformers/pull/19779 | 1,417,534,644 | PR_kwDOCUB6oc5BPpj5 | 19,779 | Added translation of custom_models.mdx to Portuguese Issue #16824 | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Hello @omarespejel, can you check if everything is ok in this PR?"
] | 1,666 | 1,666 | 1,666 | CONTRIBUTOR | null | # What does this PR do?
<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
Then, please replace this w... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_19778). All of your documentation changes will be reflected on that endpoint.",
"Thanks for your PR.\r\n\r\nIt's going to take me too long to check step by step that the actual technical content is unchanged, and I don't th... | 1,666 | 1,706 | 1,669 | MEMBER | null | This PR updates the contribution guide for how to add a model since I don't think we do the *call-for-model-addition* thing anymore. Also reworked the section headers a bit so certain steps like "write a conversion script" can actually be linked to, and also made some edits for clarity. Please let me know if any of the... | {
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"May be of interest to @gante @sgugger ",
"You can customize any generation kwarg by passing them to the model configuration (soon there will be a generation configuration that will make this clearer).",
"Ah I wasn't aware of that. It doesn't have all the generation parameters though, in my case I wanted to use... | 1,666 | 1,707 | 1,666 | NONE | null | ### Feature request
As far as I am aware, there is currently no way to customize the generation behavior when generation is run as part of the training loop. `Seq2SeqTrainer.predict()` takes a `gen_kwargs` argument to pass along to `generate()`, but there is no way to pass `gen_kwargs` to `predict()` when predict is c... | {
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https://api.github.com/repos/huggingface/transformers/issues/19776 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19776/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19776/comments | https://api.github.com/repos/huggingface/transformers/issues/19776/events | https://github.com/huggingface/transformers/issues/19776 | 1,417,152,380 | I_kwDOCUB6oc5UeAd8 | 19,776 | Trying to implement Transformer-XL using PyTorch Lightning | {
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"Hi @moksh-enf. Could you please share the code snippet on how you are passing input while training, and also share some data examples (if possible)?",
"> Hi @moksh-enf. Could you please share the code snippet on how you are passing input while training, and also share some data examples (if possible)?\r\n\r\nHi ... | 1,666 | 1,670 | 1,670 | NONE | null | ### System Info
```shell
- `transformers` version: 4.22.2
- Platform: Linux-5.15.0-50-generic-x86_64-with-glibc2.29
- Python version: 3.8.10
- Huggingface_hub version: 0.10.0
- PyTorch version (GPU?): 1.11.0+cu102 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not install... | {
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https://api.github.com/repos/huggingface/transformers/issues/19775 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19775/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19775/comments | https://api.github.com/repos/huggingface/transformers/issues/19775/events | https://github.com/huggingface/transformers/pull/19775 | 1,417,128,730 | PR_kwDOCUB6oc5BOPpE | 19,775 | Make public versions of private tensor utils | {
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This PR makes public versions of `_is_torch`, `_is_tensorflow`, `_is_numpy` and `_is_jax` that are safe to use even when those frameworks are not installed, as I need them for some future PRs. The same functions have also been written independtenly by @amyeroberts in image_utils, this PR puts... | {
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] | 1,666 | 1,666 | 1,666 | MEMBER | null | This PR expands the warnings shown for missing dependencies to remind users that they may need to restart their runtime after installing them. cc @sgugger and @swap-10 | {
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] | 1,666 | 1,666 | 1,666 | MEMBER | null | # What does this PR do?
Fixes #19747 (sample generation failing with XLA and dynamic batch sizes)
There were two distinct problems:
- `_expand_inputs_for_generation` was crashing when the input was a `TensorSpec` with dynamic batch size (used e.g. with tf.Serving). Fix: `tensor.shape` -> `tf.shape`
- Obtaining ... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@sgugger There are 2 considerations:\r\n\r\n- `openai/whisper-large` is 6 GB (as file), quite large.\r\n- Also, for `Whisper` model, `TFWhisper` tests run before (Pytorch) `Whisper` tests, due to the `_tf_whisper.py` and `_whisper.py... | 1,666 | 1,666 | 1,666 | COLLABORATOR | null | # What does this PR do?
Run some TF Whisper tests in subprocesses to avoid GPU OOM (in the PT tests, which run after the TF tests)
After TF loading `openai/whisper-large`, it takes almost all GPU and won't release it, causing some PT tests GPU OOM later.
Current failing CI report [here](https://github.com/hugg... | {
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https://api.github.com/repos/huggingface/transformers/issues/19771 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19771/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19771/comments | https://api.github.com/repos/huggingface/transformers/issues/19771/events | https://github.com/huggingface/transformers/issues/19771 | 1,416,517,169 | I_kwDOCUB6oc5UblYx | 19,771 | TFPreTrainedModel.prepare_tf_dataset() gives ImportError: Datasets module not found; but it is installed and usable (load_dataset() works) | {
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"cc @Rocketknight1 ",
"I reproduced the error here, working on it now! I suspect this is caused by the recent release of a new version of `datasets`",
"Hi, I've diagnosed the issue. It is not related to TF or `prepare_tf_dataset` at all. Instead, the problem is caused by the following:\r\n\r\n1) `pip install tr... | 1,666 | 1,666 | 1,666 | NONE | null | ### System Info
Google Colab CPU Instance
- `transformers` version: 4.23.1
- Platform: Linux-5.10.133+-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.7.15
- Huggingface_hub version: 0.10.1
- PyTorch version (GPU?): 1.12.1+cu113 (False)
- Tensorflow version (GPU?): 2.9.2 (False)
- Flax version (CPU?/GPU?/... | {
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https://api.github.com/repos/huggingface/transformers/issues/19770 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19770/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19770/comments | https://api.github.com/repos/huggingface/transformers/issues/19770/events | https://github.com/huggingface/transformers/pull/19770 | 1,416,498,362 | PR_kwDOCUB6oc5BMFtB | 19,770 | Change the import of kenlm from github to pypi | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"> Thanks for your PR. The main interest of having the package on PiPy is that we can put it in our setup and not have to write a specific command to install it. You should add it to the extras for audio.\r\n\r\nDone",
"Please remov... | 1,666 | 1,671 | 1,666 | CONTRIBUTOR | null | # What does this PR do?
Fixes #19686
## Who can review?
@patrickvonplaten
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thanks for your PR. The Transformers library is not a modular toolbox however and a model called `BertJapanese` should have the same tokenizer as BERT for obvious reasons. To use another tokenizer you can simply put the tokenizer cod... | 1,666 | 1,666 | 1,666 | CONTRIBUTOR | null | # What does this PR do?
This PR adds a class to use [sentencepiece](https://github.com/google/sentencepiece) as subword tokenizer with `BertJapaneseTokenizer`.
Thanks to https://github.com/huggingface/transformers/pull/19043, it's more convenient now to use Japanese models in transformers. However, our model(https:... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,666 | 1,666 | 1,666 | CONTRIBUTOR | null | # What does this PR do?
- Replaces hard-coded mask score binarization threshold used in `post_process_panoptic_segmentation` and `post_process_instance_segmentation` method of DETR and MaskFormer feature extractors with the `mask_threshold` argument
- Adds copied from statements to MaskFormer post processing helper f... | {
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https://api.github.com/repos/huggingface/transformers/issues/19767 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19767/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19767/comments | https://api.github.com/repos/huggingface/transformers/issues/19767/events | https://github.com/huggingface/transformers/pull/19767 | 1,416,333,048 | PR_kwDOCUB6oc5BLhT7 | 19,767 | [PoC] Add resources to each model's doc page | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"One question I have: does it matter if the resources diverge from the API described in the docs?",
"@stevhliu, I think this is a pretty significant improvement for the model pages. Would you be down to try doing something similar f... | 1,666 | 1,667 | 1,667 | CONTRIBUTOR | null | # What does this PR do?
This PR is a small PoC to add resources (notebooks, scripts, blogs, etc.) to each model's doc page.
Ideally (not sure if it's possible), but it'd be great if we could (partially) automate this.
The idea being that, if a new model is added to the FOR_IMAGE_CLASSIFICATION_MAPPING for inst... | {
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https://api.github.com/repos/huggingface/transformers/issues/19766 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19766/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19766/comments | https://api.github.com/repos/huggingface/transformers/issues/19766/events | https://github.com/huggingface/transformers/pull/19766 | 1,416,110,088 | PR_kwDOCUB6oc5BKx9y | 19,766 | Add missing information on token_type_ids for roberta model | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"> Thanks for the PR. Can you be a bit more explicit as the configuration will always be initialized with this parameter. Maybe it needs to be 2 for instance? Or any vlaue >= 2?\r\n\r\nDone"
] | 1,666 | 1,671 | 1,666 | CONTRIBUTOR | null | # What does this PR do?
Add missing information on token_type_ids for roberta model
Fixes #19744
- [X ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [X ] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/main/CONTRIB... | {
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https://api.github.com/repos/huggingface/transformers/issues/19765 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19765/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19765/comments | https://api.github.com/repos/huggingface/transformers/issues/19765/events | https://github.com/huggingface/transformers/pull/19765 | 1,416,103,945 | PR_kwDOCUB6oc5BKwpO | 19,765 | adding functionality to iterate pipelines over sentence pairs when using dataset | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@Narsil , please have a look."
] | 1,666 | 1,666 | 1,666 | CONTRIBUTOR | null | # What does this PR do?
This PR adds a new torch data set class to pt_utils.py that helps with using pipelines and datasets for sentence pair tasks.
Usage can be simply like
```
dataset = Dataset.from_pandas(dataset_df[['sentence1', 'sentence2']])
pipe = pipeline('text-classification', model=args.input_path_mo... | {
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https://api.github.com/repos/huggingface/transformers/issues/19764 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19764/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19764/comments | https://api.github.com/repos/huggingface/transformers/issues/19764/events | https://github.com/huggingface/transformers/issues/19764 | 1,416,018,712 | I_kwDOCUB6oc5UZrsY | 19,764 | Using function "generate()" to generate text based on casual language model like GPT2 will repeat the input in the begining. | {
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"The outputs of the causal language model contain the given prefix.",
"CODE IT\r\n",
"> The outputs of the causal language model contain the given prefix.\r\n\r\nso sometimes if the prefix is not good enough or the model is not good enough, it possibly can't repeat the prefix exactly the same as the given one... | 1,666 | 1,666 | 1,666 | NONE | null | ### System Info
This issue has nothing to do with the relevant system information.
### Who can help?
@patrickvonplaten, @Narsil, @gante
### Information
- [X] The official example scripts
- [ ] My own modified scripts
### Tasks
- [X] An officially supported task in the `examples` folder (such as GL... | {
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https://api.github.com/repos/huggingface/transformers/issues/19763 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19763/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19763/comments | https://api.github.com/repos/huggingface/transformers/issues/19763/events | https://github.com/huggingface/transformers/pull/19763 | 1,415,880,453 | PR_kwDOCUB6oc5BJ_64 | 19,763 | [Doctest] Add `configuration_opt.py` , `configuration_openai.py'` | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,666 | 1,666 | 1,666 | CONTRIBUTOR | null | Based on #19487 | {
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https://api.github.com/repos/huggingface/transformers/issues/19762 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19762/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19762/comments | https://api.github.com/repos/huggingface/transformers/issues/19762/events | https://github.com/huggingface/transformers/issues/19762 | 1,415,827,127 | I_kwDOCUB6oc5UY863 | 19,762 | Why this dummpy input is not consistent with pytorch | {
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"Hi there! Please ask questions like this on the [forums](https://discuss.huggingface.co/), as we keep issues for bugs and feature requests only.",
"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... | 1,666 | 1,669 | 1,669 | NONE | null | https://github.com/huggingface/transformers/blob/bd469c40659ce76c81f69c7726759d249b4aef49/src/transformers/models/layoutlmv3/modeling_tf_layoutlmv3.py#L988
The dummpy input of pytorch layoutlmv3 is like this, from transformers.utils:
https://github.com/huggingface/transformers/blob/v4.23.1/src/transformers/modeling... | {
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https://api.github.com/repos/huggingface/transformers/issues/19761 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19761/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19761/comments | https://api.github.com/repos/huggingface/transformers/issues/19761/events | https://github.com/huggingface/transformers/issues/19761 | 1,415,680,043 | I_kwDOCUB6oc5UYZAr | 19,761 | bert2gtp_neo | {
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"Hey @elmadany,\r\n\r\nIn general, could you maybe share a short reproducible code snippet below that is easy to copy-paste? \r\nThe google colab is more than just a error production and going through it step-by-step sadly takes us too much time. Thank you :-)\r... | 1,666 | 1,685 | 1,669 | NONE | null | ### System Info
- `transformers` version: 4.24.0.dev0
- Platform: Linux-5.10.133+-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.7.15
- Huggingface_hub version: 0.10.1
- PyTorch version (GPU?): 1.12.1+cu113 (True)
- Tensorflow version (GPU?): 2.9.2 (True)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
... | {
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https://api.github.com/repos/huggingface/transformers/issues/19760 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19760/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19760/comments | https://api.github.com/repos/huggingface/transformers/issues/19760/events | https://github.com/huggingface/transformers/pull/19760 | 1,415,548,235 | PR_kwDOCUB6oc5BI40r | 19,760 | docs: All broken links were fixed in CONTRIBUTING.md file. | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"> Thanks for the fixes!\r\n\r\nYou're welcome!"
] | 1,666 | 1,666 | 1,666 | CONTRIBUTOR | null | # What does this PR do?
### This PR fixes the broken links in contributing file.
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
**Yes, this PR does fix broken links in contributing file.**
- [x] Did you read the [contributor guideline](https://github.com/h... | {
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https://api.github.com/repos/huggingface/transformers/issues/19759 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19759/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19759/comments | https://api.github.com/repos/huggingface/transformers/issues/19759/events | https://github.com/huggingface/transformers/pull/19759 | 1,415,475,799 | PR_kwDOCUB6oc5BIpCp | 19,759 | Fix docker image build | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Not at all an expert on docker (quite the opposite :sweat_smile: ) so will let @LysandreJik comment on this one!"
] | 1,666 | 1,666 | 1,666 | COLLABORATOR | null | # What does this PR do?
The docker image build fails (for deepspeed-releated docker file) since #19532. It seems `nvcr.io/nvidia` is somehow different, and we can't build 2 images in a single GH job.
Current failed run
https://github.com/huggingface/transformers/actions/runs/3278157954 | {
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https://api.github.com/repos/huggingface/transformers/issues/19758 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19758/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19758/comments | https://api.github.com/repos/huggingface/transformers/issues/19758/events | https://github.com/huggingface/transformers/pull/19758 | 1,415,454,994 | PR_kwDOCUB6oc5BIkjD | 19,758 | [Doctest] Add `configuration_squeezebert.py` | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,666 | 1,666 | 1,666 | CONTRIBUTOR | null | Add `configuration_squeezebert.py` to `utils/documentation_tests.txt` for doctest.
Based on issue #19487
@ydshieh could you please take a look at it?
Thanks =) | {
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Based on issue #19487
@ydshieh could you please check it?
Thanks :) | {
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https://api.github.com/repos/huggingface/transformers/issues/19756 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19756/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19756/comments | https://api.github.com/repos/huggingface/transformers/issues/19756/events | https://github.com/huggingface/transformers/pull/19756 | 1,415,453,604 | PR_kwDOCUB6oc5BIkQO | 19,756 | [Doctest] Add `configuration_speech_to_text_2.py` | {
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] | 1,666 | 1,666 | 1,666 | CONTRIBUTOR | null | Add `configuration_speech_to_text_2.py` to `utils/documentation_tests.txt` for doctest.
Based on issue #19487
@ydshieh could you please take a look at it?
Thanks :) | {
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https://api.github.com/repos/huggingface/transformers/issues/19755 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19755/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19755/comments | https://api.github.com/repos/huggingface/transformers/issues/19755/events | https://github.com/huggingface/transformers/pull/19755 | 1,415,447,481 | PR_kwDOCUB6oc5BIi8g | 19,755 | Install tf2onnx dev version | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@LysandreJik I guess ready to merge :-) ?"
] | 1,666 | 1,666 | 1,666 | COLLABORATOR | null | # What does this PR do?
A temporary fix for the error on CI: `ValueError: from_keras requires input_signature`.
Reference: [this commit](https://github.com/onnx/tensorflow-onnx/commit/ddca3a5eb2d912f20fe7e0568dd1a3013aee9fa3) | {
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https://api.github.com/repos/huggingface/transformers/issues/19754 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19754/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19754/comments | https://api.github.com/repos/huggingface/transformers/issues/19754/events | https://github.com/huggingface/transformers/pull/19754 | 1,415,413,217 | PR_kwDOCUB6oc5BIbrR | 19,754 | Fixed spacing errors in ISSUES.md | {
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] | 1,666 | 1,666 | 1,666 | CONTRIBUTOR | null | # What does this PR do?
<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
Then, please replace this w... | {
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https://api.github.com/repos/huggingface/transformers/issues/19753 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19753/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19753/comments | https://api.github.com/repos/huggingface/transformers/issues/19753/events | https://github.com/huggingface/transformers/pull/19753 | 1,415,286,698 | PR_kwDOCUB6oc5BIA7L | 19,753 | Added type hints for `LayoutLMv3` | {
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Added type hints in `LayoutLMv3` | {
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Based on issue https://github.com/huggingface/transformers/issues/19487
@ydshieh could you please check it?
Thank you :) | {
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Based on issue https://github.com/huggingface/transformers/issues/19487
@ydshieh could you please check it?
Thank you :) | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,666 | 1,666 | 1,666 | COLLABORATOR | null | # What does this PR do?
As reported in #19738, the cache version file is never actually created on a new machine. This is because it was under a test a bit too restrictive (there needed to be cached files).
This PR should fix this.
Fixes #19738 | {
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https://api.github.com/repos/huggingface/transformers/issues/19749 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19749/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19749/comments | https://api.github.com/repos/huggingface/transformers/issues/19749/events | https://github.com/huggingface/transformers/pull/19749 | 1,415,030,622 | PR_kwDOCUB6oc5BHJgk | 19,749 | [Doctest] Add `configuration_wavlm.py` | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,666 | 1,666 | 1,666 | CONTRIBUTOR | null | Add configuration_wav2vec2_conformer.py to utils/documentation_tests.txt for doctest.
Based on issue: [19487](https://github.com/huggingface/transformers/issues/19487)
@ydshieh Could you please take a look? Thank you very much for your kind support! | {
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https://api.github.com/repos/huggingface/transformers/issues/19748 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19748/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19748/comments | https://api.github.com/repos/huggingface/transformers/issues/19748/events | https://github.com/huggingface/transformers/pull/19748 | 1,414,963,954 | PR_kwDOCUB6oc5BG7HU | 19,748 | Specify TF framework explicitly in more pipeline tests | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,666 | 1,666 | 1,666 | COLLABORATOR | null | # What does this PR do?
It seems these 2 are the remaining ones, and no test failure due to the change in this PR. | {
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https://api.github.com/repos/huggingface/transformers/issues/19747 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19747/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19747/comments | https://api.github.com/repos/huggingface/transformers/issues/19747/events | https://github.com/huggingface/transformers/issues/19747 | 1,414,875,935 | I_kwDOCUB6oc5UVUsf | 19,747 | (TF) model.generate with beam search to an exportable tf.function | {
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"cc @gante ",
"Hi @piEsposito 👋 Thanks for raising this issue -- there were indeed two related problems, both fixed in #19773 :)",
"@gante you always bring good news when I'm here to bother you folks from Hugging Face. Thanks!"
] | 1,666 | 1,666 | 1,666 | CONTRIBUTOR | null | ### Feature request
It would be good if we could export the `tf.function` `model.generate` with beam search, so it is servable with TF Serving.
### Motivation
When we try to export a `model.generate` with `do_sample=True` to a `tf.function` and save it, we get an error due to Transformers and Tensorflow Inter... | {
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https://api.github.com/repos/huggingface/transformers/issues/19746 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19746/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19746/comments | https://api.github.com/repos/huggingface/transformers/issues/19746/events | https://github.com/huggingface/transformers/pull/19746 | 1,414,810,051 | PR_kwDOCUB6oc5BGaBR | 19,746 | Fix accelerate tests | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_19746). All of your documentation changes will be reflected on that endpoint."
] | 1,666 | 1,666 | 1,666 | COLLABORATOR | null | # What does this PR do?
Fixes the accelerate test based on new accelerate update.
Some of the test are fixed, but not all yet, so WIP
`for i in range(len(max_memory)-2):` | {
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https://api.github.com/repos/huggingface/transformers/issues/19745 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19745/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19745/comments | https://api.github.com/repos/huggingface/transformers/issues/19745/events | https://github.com/huggingface/transformers/issues/19745 | 1,414,738,780 | I_kwDOCUB6oc5UUzNc | 19,745 | ClassificationModel .train_model strange behaviour / errors | {
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"This looks like this is an issue for the [SentenceTransformers](https://github.com/UKPLab/sentence-transformers) repo."
] | 1,666 | 1,666 | 1,666 | NONE | null | ### System Info
- `transformers` version: 4.23.1
- Platform: macOS-10.16-x86_64-i386-64bit
- Python version: 3.10.6
- Huggingface_hub version: 0.10.1
- PyTorch version (GPU?): 1.12.1 (False)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not in... | {
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https://api.github.com/repos/huggingface/transformers/issues/19744 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19744/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19744/comments | https://api.github.com/repos/huggingface/transformers/issues/19744/events | https://github.com/huggingface/transformers/issues/19744 | 1,414,679,418 | I_kwDOCUB6oc5UUkt6 | 19,744 | Documentation related to token_type_ids for RoBERTa needs to be updated | {
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"The argument is accepted and treated by the model, though.",
"Hi @sgugger, although the argument is accepted, when providing a `token_type_ids` with 0 and 1 values, as described in the documentation, an index out of range exception occurs. This is because by default RoBERTa does not have two token_type_id embedd... | 1,666 | 1,666 | 1,666 | NONE | null | ### System Info
This is about online documentation at https://huggingface.co/docs/transformers/v4.23.1/en/model_doc/roberta#transformers.RobertaModel.forward.token_type_ids
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An offici... | {
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"Hi @wildgeece96 .\r\n\r\nThe `np.array` is supposed to be the raw audio waveform in the correct sampling rate, right ?\r\n\r\nIf so, then it seems the bug comes from somewhere around sagemaker where the numpy array gets converted to a list.\r\n\r\nI am tentatively against adding support for lists instead of numpy... | 1,666 | 1,669 | 1,669 | NONE | null | ### System Info
transformers
- 4.17.1
torch
- 1.10.1
sagemaker
- 2.112.2
### Who can help?
@Narsil
@patrickvonplaten
@anton-l
### Information
- [X] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, .... | {
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https://api.github.com/repos/huggingface/transformers/issues/19742 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19742/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19742/comments | https://api.github.com/repos/huggingface/transformers/issues/19742/events | https://github.com/huggingface/transformers/issues/19742 | 1,414,492,331 | I_kwDOCUB6oc5UT3Cr | 19,742 | Tokenizers should not should not append `[EOS]` for truncated sentences | {
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"I would say that this is a matter of opinion and depends on the actual task (classification vs generation for instance). In any case, we won't be able to change this behavior without causing a breaking change of something other users may be relying on, so we probably won't fix this inside the lib.",
"@sgugger Th... | 1,666 | 1,666 | 1,666 | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.21.3
- Platform: Linux-5.8.0-1035-gcp-x86_64-with-glibc2.31
- Python version: 3.10.7
- Huggingface_hub version: 0.9.1
- PyTorch version (GPU?): 1.12.1+cu102 (False)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): 0.6.1 (cpu)
- Jax ve... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,666 | 1,666 | 1,666 | CONTRIBUTOR | null | # What does this PR do?
<!--
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"Please use the [forums](https://discuss.huggingface.co/) for such questions, as we keep the issues for bugs and feature requests only.",
"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\nPleas... | 1,666 | 1,669 | 1,669 | NONE | null | Many datasets pre-lowercase their text content, so some entities are lowercase in these datesets, like:
**"paris"**
For GPT2Tokenizer, it can tokenize "Paris" to "Paris" but it tokenizes **"paris" to "par" and "is".**
How to fix it? Is there a uncased GPT2?
Thanks! | {
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https://api.github.com/repos/huggingface/transformers/issues/19739 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19739/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19739/comments | https://api.github.com/repos/huggingface/transformers/issues/19739/events | https://github.com/huggingface/transformers/pull/19739 | 1,414,214,085 | PR_kwDOCUB6oc5BEZxY | 19,739 | Fix exception thrown using MishActivation | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"What exception are we fixing? The [PyTorch documentation](https://pytorch.org/docs/1.9.0/generated/torch.nn.functional.mish.html?highlight=mish#torch.nn.functional.mish) indicates the mish function was in 1.9.0 and I just tried on a ... | 1,666 | 1,666 | 1,666 | CONTRIBUTOR | null | # What does this PR do?
Fix an exception when calling MishActivation module when using pytorch 1.9.0
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https://api.github.com/repos/huggingface/transformers/issues/19738 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19738/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19738/comments | https://api.github.com/repos/huggingface/transformers/issues/19738/events | https://github.com/huggingface/transformers/issues/19738 | 1,413,997,602 | I_kwDOCUB6oc5UR-Qi | 19,738 | Newly created cache directories does not include the version.txt file | {
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"Thanks for reporting! I can reproduce and the PR above fixes the problem normally."
] | 1,666 | 1,666 | 1,666 | NONE | null | ### System Info
- `transformers` version: 4.22.2
- Platform: macOS-11.7-x86_64-i386-64bit
- Python version: 3.9.13
- Huggingface_hub version: 0.10.0
- PyTorch version (GPU?): 1.12.1 (False)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not ins... | {
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https://api.github.com/repos/huggingface/transformers/issues/19737 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19737/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19737/comments | https://api.github.com/repos/huggingface/transformers/issues/19737/events | https://github.com/huggingface/transformers/issues/19737 | 1,413,970,032 | I_kwDOCUB6oc5UR3hw | 19,737 | How can I install transformers v2.11.0? | {
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"Hey @FurkanGozukara -- try running `pip.exe install transformers==2.11.0` (i.e. removing the `v`)\r\n\r\nAlso, please note that this is a very old version. We encourage you to use a more recent version in your project if possible!",
"This issue has been automatically marked as stale because it has not had recent... | 1,666 | 1,669 | 1,669 | NONE | null | ### System Info
Python 3.5.4 (v3.5.4:3f56838, Aug 8 2017, 02:17:05) [MSC v.1900 64 bit (AMD64)] on win32
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as ... | {
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https://api.github.com/repos/huggingface/transformers/issues/19736 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19736/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19736/comments | https://api.github.com/repos/huggingface/transformers/issues/19736/events | https://github.com/huggingface/transformers/pull/19736 | 1,413,867,122 | PR_kwDOCUB6oc5BDNi0 | 19,736 | fixed typo in fp16 training section for perf_train_gpu_one | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"fixed permissions. I'm new to CircleCI. Is there a way to run the CI pipeline again?"
] | 1,666 | 1,666 | 1,666 | CONTRIBUTOR | null | # What does this PR do?
Fixed typo in mdx file for mixed precision in perf_train_gpu_one.mdx
Fixes # (issue)
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](https://github.com/huggingf... | {
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https://api.github.com/repos/huggingface/transformers/issues/19735 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19735/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19735/comments | https://api.github.com/repos/huggingface/transformers/issues/19735/events | https://github.com/huggingface/transformers/pull/19735 | 1,413,728,493 | PR_kwDOCUB6oc5BCvp8 | 19,735 | Handle texts longer than 512 tokens in BERT token classification pipeline | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_19735). All of your documentation changes will be reflected on that endpoint.",
"@Narsil I've updated the test cases as discussed on #15177. These and the docstrings should show how the new pipeline class is intended to wor... | 1,666 | 1,685 | 1,677 | NONE | null | # What does this PR do?
Implementation of a BERT-based token classification pipeline which can truncate texts longer than the max token length (512 or otherwise as specified by the user). Long texts are truncated to the max length, with overflowing tokens shifted to subsequent batch items. These are reconstituted as... | {
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https://api.github.com/repos/huggingface/transformers/issues/19734 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19734/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19734/comments | https://api.github.com/repos/huggingface/transformers/issues/19734/events | https://github.com/huggingface/transformers/pull/19734 | 1,413,704,527 | PR_kwDOCUB6oc5BCqgo | 19,734 | [Doctest] Add `wav2vec2_conformer.py` | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Hi @juancopi81 Wav2Vec2 is already done.\r\nSee [documentation_tests.txt](https://github.com/huggingface/transformers/blob/main/utils/documentation_tests.txt) on the main branch. You can work on other model configs if you would like ... | 1,666 | 1,666 | 1,666 | CONTRIBUTOR | null | Add `configuration_wav2vec2_conformer.py` to `utils/documentation_tests.txt` for doctest.
Based on issue: [19487](https://github.com/huggingface/transformers/issues/19487)
@ydshieh could you please check it? If it is ok for you I can keep working on the "wav2vec2" ones!
Thank you very much for your support :) | {
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https://api.github.com/repos/huggingface/transformers/issues/19733 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19733/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19733/comments | https://api.github.com/repos/huggingface/transformers/issues/19733/events | https://github.com/huggingface/transformers/issues/19733 | 1,413,619,192 | I_kwDOCUB6oc5UQh34 | 19,733 | `test_run_squad_no_trainer` is flaky | {
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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... | 1,666 | 1,668 | 1,668 | COLLABORATOR | null | ### System Info
Environment: Circle CI image running `examples_torch`
### Who can help?
@muellerzr
### Information
- [X] The official example scripts
- [ ] My own modified scripts
### Tasks
- [X] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or dataset... | {
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https://api.github.com/repos/huggingface/transformers/issues/19732 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19732/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19732/comments | https://api.github.com/repos/huggingface/transformers/issues/19732/events | https://github.com/huggingface/transformers/pull/19732 | 1,413,583,252 | PR_kwDOCUB6oc5BCQbu | 19,732 | PT <-> TF for composite models | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,666 | 1,666 | 1,666 | COLLABORATOR | null | # What does this PR do?
Make `from_pretrained` (cross loading PT/TF) available for composite models. Ensure `enc_to_dec_proj` layer is correctly loaded.
With this PR, we can get the PT/TF same output for the test in #19719
I will apply the same change to Text and Speech composite models if the current version ... | {
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https://api.github.com/repos/huggingface/transformers/issues/19731 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19731/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19731/comments | https://api.github.com/repos/huggingface/transformers/issues/19731/events | https://github.com/huggingface/transformers/issues/19731 | 1,413,555,648 | I_kwDOCUB6oc5UQSXA | 19,731 | Optimizer being initialized twice when using Nvidia APEX mixed precision backend | {
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"I can confirm this is done at every call to train, though I don't see an easy way of undoing it and we stopped actively maintaining the integration with Apex now that mixed precision is upstreamed in PyTorch.",
"Ah I see, so I should consider Apex support to be deprecated in `transformers` and move all future co... | 1,666 | 1,666 | 1,666 | NONE | null | ### System Info
- `transformers` version: 4.21.1
- Platform: Linux-5.4.0-128-generic-x86_64-with-glibc2.17
- Python version: 3.8.13
- Huggingface_hub version: 0.8.1
- PyTorch version (GPU?): 1.12.1+cu113 (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/19730 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19730/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19730/comments | https://api.github.com/repos/huggingface/transformers/issues/19730/events | https://github.com/huggingface/transformers/issues/19730 | 1,413,520,802 | I_kwDOCUB6oc5UQJ2i | 19,730 | Lite Transformer with Long-Short Range Attention | {
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"Maybe of interest to @hollance :)",
"Yeah looks interesting!",
"Related to\r\nhttps://github.com/mit-han-lab/lite-transformer\r\nhttps://arxiv.org/pdf/2004.11886.pdf",
"It looks like the paper I linked is just a previous, unpublished version of Lite Transformer paper (linked by @atturaioe) \r\n\r\nI'll edit ... | 1,666 | 1,666 | null | CONTRIBUTOR | null | ### Model description
Abstract :
> Transformer has become ubiquitous in natural language processing (e.g., machine translation, question answering); however, it requires enormous amount of computations to achieve high performance, which makes it not suitable for mobile applications that are tightly constrained b... | {
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https://api.github.com/repos/huggingface/transformers/issues/19729 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19729/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19729/comments | https://api.github.com/repos/huggingface/transformers/issues/19729/events | https://github.com/huggingface/transformers/pull/19729 | 1,413,413,128 | PR_kwDOCUB6oc5BBsul | 19,729 | [Table Transformer, LiLT] Minor docs fixes | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,666 | 1,666 | 1,666 | CONTRIBUTOR | null | # What does this PR do?
This PR:
- fixes some URLs in LiLT's docs
- adds a figure to the Table Transformer docs | {
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https://api.github.com/repos/huggingface/transformers/issues/19728 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19728/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19728/comments | https://api.github.com/repos/huggingface/transformers/issues/19728/events | https://github.com/huggingface/transformers/pull/19728 | 1,413,302,715 | PR_kwDOCUB6oc5BBVHj | 19,728 | Fix activations being all the same module | {
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] | 1,666 | 1,666 | 1,666 | COLLABORATOR | null | # What does this PR do?
Since #15616, all activations of the same type are the same instance of the same object. This seems harmless at first glance, but cause issues when hooks are automatically added to models, for instance in the big model inference. In this case all objects share the same hook (since they are al... | {
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https://api.github.com/repos/huggingface/transformers/issues/19727 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19727/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19727/comments | https://api.github.com/repos/huggingface/transformers/issues/19727/events | https://github.com/huggingface/transformers/pull/19727 | 1,413,299,335 | PR_kwDOCUB6oc5BBUZR | 19,727 | Factored out some code in the `image-segmentation` pipeline. | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Okay, I've pinpointed out the filter that filters OUT the prediction for panoptic:\r\n(https://huggingface.slack.com/archives/D03VB3U5CVC/p1666108719919289)\r\n36f52e9593\r\n(https://huggingface.slack.com/archives/D03VB3U5CVC/p166610... | 1,666 | 1,666 | 1,666 | CONTRIBUTOR | null | # What does this PR do?
Modifies the pipeline's internal a little.
- Hopefully less code, so easier to read.
- Removed the "blank mask" when nothing gets detected. Sending `[]` instead
is more obvious IMO (and used to be the behavior, so making it non breaking change).
- Changed the default of `subtask... | {
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https://api.github.com/repos/huggingface/transformers/issues/19726 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19726/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19726/comments | https://api.github.com/repos/huggingface/transformers/issues/19726/events | https://github.com/huggingface/transformers/issues/19726 | 1,413,290,225 | I_kwDOCUB6oc5UPRjx | 19,726 | Parameterize hidden layers for feature-extraction pipeline | {
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"In general pipelines are kept simple for demo purposes. You can easily instantiate the processing class and model yourself for more complex behavior.",
"\r\n> In general pipelines are kept simple for demo purposes. You can easily instantiate the processing class and model yourself for more complex behavior.\r\n\... | 1,666 | 1,666 | 1,666 | NONE | null | ### Feature request
In the literature, token embeddings for downstream tasks are generated from various combinations of hidden layers, e.g. by summing or concatenating the last four layers. [This image](http://jalammar.github.io/images/bert-feature-extraction-contextualized-embeddings.png) from [this blog entry](http:... | {
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https://api.github.com/repos/huggingface/transformers/issues/19725 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19725/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19725/comments | https://api.github.com/repos/huggingface/transformers/issues/19725/events | https://github.com/huggingface/transformers/pull/19725 | 1,413,271,675 | PR_kwDOCUB6oc5BBOf5 | 19,725 | [Doctest] - Fixing doctest `configuration_pegasus_x.py` | {
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"Hi @mukesh663 There seems to be some CI issue. Could you push again with an empty commit?\r\n\r\nYou can do `git commit --allow-empty` then push :pray.",
"Hi, @mukesh663 I haven't merge your PR yet ...but you already closed the PR and delete the branch 😢 ",
"Are you able to restore the branch ?",
"> Are you... | 1,666 | 1,666 | 1,666 | CONTRIBUTOR | null | # What does this PR do?
Fixes #19487
Added (with random weights) in `configuration_pegasus_x.py`.
Added `configuration_pegasus_x.py` in `documentation_tests.txt`.
## 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 [... | {
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https://api.github.com/repos/huggingface/transformers/issues/19724 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19724/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19724/comments | https://api.github.com/repos/huggingface/transformers/issues/19724/events | https://github.com/huggingface/transformers/pull/19724 | 1,413,258,609 | PR_kwDOCUB6oc5BBLvB | 19,724 | [Doctest] Add `configuration_flava.py`, `configuration_fnet.py` | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,666 | 1,666 | 1,666 | CONTRIBUTOR | null | # What does this PR do?
Fixes https://github.com/huggingface/transformers/issues/19487
Added (with random weights) in `configuration_flava.py` , `configuration_fnet.py`.
Added `configuration_fnet.py, configuration_flava.py` in documentation_tests.txt.
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https://api.github.com/repos/huggingface/transformers/issues/19723 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19723/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19723/comments | https://api.github.com/repos/huggingface/transformers/issues/19723/events | https://github.com/huggingface/transformers/pull/19723 | 1,413,253,846 | PR_kwDOCUB6oc5BBKtT | 19,723 | Added type_hints for `modeling_markuplm` | {
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"cc @Rocketknight1 ",
"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,666 | 1,666 | 1,666 | CONTRIBUTOR | null | # What does this PR do?
Added type_hints for `modeling_markuplm`
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https://api.github.com/repos/huggingface/transformers/issues/19722 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19722/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19722/comments | https://api.github.com/repos/huggingface/transformers/issues/19722/events | https://github.com/huggingface/transformers/pull/19722 | 1,413,225,454 | PR_kwDOCUB6oc5BBEmB | 19,722 | [Doctest] - Fixing doctest `configuration_pegasus.py` | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_19722). All of your documentation changes will be reflected on that endpoint."
] | 1,666 | 1,666 | 1,666 | CONTRIBUTOR | null | # What does this PR do?
Fixes #19487
Added (with random weights) in `configuration_pegasus.py`.
Added `configuration_pegasus.py` in `documentation_tests.txt`
## 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 [contr... | {
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https://api.github.com/repos/huggingface/transformers/issues/19721 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19721/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19721/comments | https://api.github.com/repos/huggingface/transformers/issues/19721/events | https://github.com/huggingface/transformers/pull/19721 | 1,413,224,914 | PR_kwDOCUB6oc5BBEec | 19,721 | fix seq2seqtrainer predict without labels | {
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"> This means the model will not be run if there are no labels. I don't think this fixes the issue as you wanted.\r\n\r\nThank for your reply.\r\n\r\nIn fact, in `prediction_step()` `model.generate` is still called, so trainer.predict would return generated_tokens, but would not compute loss.\r\nSee [here](https://... | 1,666 | 1,666 | 1,666 | CONTRIBUTOR | null | # What does this PR do?
This PR allows to use Seq2SeqTrainer for prediction with generation on dataset without target sequence. So None loss and metrics are returned.
Technically, model.forward would be called only if we have 'labels'
Fixes #19714
## Before submitting
- [ ] This PR fixes a typo or impr... | {
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https://api.github.com/repos/huggingface/transformers/issues/19720 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19720/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19720/comments | https://api.github.com/repos/huggingface/transformers/issues/19720/events | https://github.com/huggingface/transformers/issues/19720 | 1,413,223,879 | I_kwDOCUB6oc5UPBXH | 19,720 | Decode input ids back to string in LayoutLMV3 Processor | {
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"Hello, thanks for opening an issue! We try to keep the github issues for bugs/feature requests.\r\nCould you ask your question on the [forum](https://discuss.huggingface.co) instead?\r\n\r\nThanks!",
"HI @LysandreJik, I have raised this in the forum as well. I added it here for more support. Thanks",
"Hi, I've... | 1,666 | 1,666 | 1,666 | NONE | null | Hi, I am using Layoutlmv3. I Have used LMV3 processor. At train time I have labels as well along with image,text,boxes and labels. But at Inference time, I do not have labels. So the code for inference goes like below.
```
processor = AutoProcessor.from_pretrained("microsfotlmv3_repo", apply_ocr=False)
encoding = ... | {
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https://api.github.com/repos/huggingface/transformers/issues/19719 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19719/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19719/comments | https://api.github.com/repos/huggingface/transformers/issues/19719/events | https://github.com/huggingface/transformers/pull/19719 | 1,413,173,820 | PR_kwDOCUB6oc5BA5Zq | 19,719 | Use TF framework | {
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"> Investigate why we get diff. outputs between PT/TF models for ImageToTextPipelineTests.test_small_model_tf.\r\n\r\nYup this is weird indeed, but glad we're catching such bugs !",
"_The documentation is not available anymore as the PR was closed or merged._",
"@Narsil Yes, that's why I don't want to change ot... | 1,666 | 1,666 | 1,666 | COLLABORATOR | null | # What does this PR do?
This PR specifies `framework="tf"` for `ImageToTextPipelineTests.test_small_model_tf`.
--------
The pipeline tests are run in 3 docker environment: only PT, only TF, both PT/TF installation.
In the last case (`PT/TF installed`), the loaded models in tests like `test_small_model_tf` a... | {
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https://api.github.com/repos/huggingface/transformers/issues/19718 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19718/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19718/comments | https://api.github.com/repos/huggingface/transformers/issues/19718/events | https://github.com/huggingface/transformers/pull/19718 | 1,413,161,796 | PR_kwDOCUB6oc5BA2zK | 19,718 | Image transforms add center crop | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,666 | 1,666 | 1,666 | COLLABORATOR | null | # What does this PR do?
Adds `center_crop` to the image transforms library, to be used in the future image processors. Performs equivalent processing as done in the `ImageFeatureExtractionMixin`
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the c... | {
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https://api.github.com/repos/huggingface/transformers/issues/19717 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19717/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19717/comments | https://api.github.com/repos/huggingface/transformers/issues/19717/events | https://github.com/huggingface/transformers/pull/19717 | 1,413,150,782 | PR_kwDOCUB6oc5BA0a8 | 19,717 | Adding config files for convnext | {
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"Hi @soma2000-lang Could you run `make style` to see what's wrong with the CI and fix the potential issues 🙏 Thanks",
"Ok\n\nOn Tue, 18 Oct 2022, 18:41 Yih-Dar, ***@***.***> wrote:\n\n> Hi @soma2000-lang <https://github.com/soma2000-lang> Could you run make\n> style to see what's wrong with the CI and fix the po... | 1,666 | 1,666 | 1,666 | CONTRIBUTOR | null | # What does this PR do?
Adding config files for convnext
Based on issue: https://github.com/huggingface/transformers/issues/19487
@ydshieh could you please check it?
Thanks :) | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"I re-enable this tests, as it should work.\r\n\r\nThe error @alaradirik was seeing, seems to not happen on main, and the results are actually deterministic.\r\n\r\nHowever \r\n`semantic` returns 3 different masks\r\n`panoptic` return... | 1,666 | 1,666 | 1,666 | CONTRIBUTOR | null | <!--
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https://api.github.com/repos/huggingface/transformers/issues/19715 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19715/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19715/comments | https://api.github.com/repos/huggingface/transformers/issues/19715/events | https://github.com/huggingface/transformers/pull/19715 | 1,413,137,058 | PR_kwDOCUB6oc5BAxXg | 19,715 | Adding config files for configuration_clip.py | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Hi @soma2000-lang \r\n\r\n#19647 already works on this model config. Could you find another one if you would like to contribute 🙏 . Thank you btw!"
] | 1,666 | 1,666 | 1,666 | CONTRIBUTOR | null | # What does this PR do?
Add config files for configuration_clip.py to utils/documentation_tests.txt for doctest.
Based on issue: https://github.com/huggingface/transformers/issues/19487
@ydshieh could you please check it?
Thanks :) | {
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https://api.github.com/repos/huggingface/transformers/issues/19714 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19714/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19714/comments | https://api.github.com/repos/huggingface/transformers/issues/19714/events | https://github.com/huggingface/transformers/issues/19714 | 1,413,101,155 | I_kwDOCUB6oc5UOjZj | 19,714 | Seq2SeqTrainer predict with generate fails to run without labels | {
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- `transformers` version: 4.21.2
- Platform: macOS-12.6-arm64-arm-64bit
- Python version: 3.9.12
- Huggingface_hub version: 0.9.1
- PyTorch version (GPU?): 1.12.1 (False)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not instal... | {
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https://api.github.com/repos/huggingface/transformers/issues/19713 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19713/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19713/comments | https://api.github.com/repos/huggingface/transformers/issues/19713/events | https://github.com/huggingface/transformers/pull/19713 | 1,413,084,827 | PR_kwDOCUB6oc5BAl5N | 19,713 | first pull request | {
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"Not too sure what the goal here is? Please open a pull request when you have a real contribution to make."
] | 1,666 | 1,666 | 1,666 | NONE | null | # What does this PR do?
<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
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https://api.github.com/repos/huggingface/transformers/issues/19712 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19712/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19712/comments | https://api.github.com/repos/huggingface/transformers/issues/19712/events | https://github.com/huggingface/transformers/pull/19712 | 1,413,004,518 | PR_kwDOCUB6oc5BAUc0 | 19,712 | Fix redundant normalization of OWL-ViT text embeddings | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,666 | 1,666 | 1,666 | CONTRIBUTOR | null | # What does this PR do?
- Fixes double normalization of OWL-ViT text embeddings, tests are not affected as double normalization yields the same results.
- Replaces deprecated torch.norm() with torch.linalg.norm()
Fixes # 19467
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dism... | {
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"Label smoothing is not for regression tasks, but when you have several labels.",
"@sgugger thanks for answering! \r\nMy bad, I spotted my error. I am doing not regression, but binary classification, so I had to provide `num_labels=2` instead of 1."
] | 1,666 | 1,666 | 1,666 | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.23.1
- Platform: Linux-5.4.0-124-generic-x86_64-with-glibc2.31
- Python version: 3.9.5
- Huggingface_hub version: 0.10.0
- PyTorch version (GPU?): 1.12.1+cu116 (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/19710 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19710/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19710/comments | https://api.github.com/repos/huggingface/transformers/issues/19710/events | https://github.com/huggingface/transformers/pull/19710 | 1,412,989,619 | PR_kwDOCUB6oc5BARNO | 19,710 | Improving `image-segmentation` pipeline tests. | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"> as it seems this PR is adding supplementary information to existing tests. Do we still need to add a test for this missing codepath?\r\n\r\nI meant that missing `astype(np.uint8)` was easy to miss, and since mask inspection was pre... | 1,666 | 1,666 | 1,666 | CONTRIBUTOR | null | # What does this PR do?
This PR (https://github.com/huggingface/transformers/pull/19367) introduced a few breaking changes:
- Removed an argument `mask_threshold`.
- Broke the default behavior (instance vs panoptic in the function call)
https://github.com/huggingface/transformers/pull/19367/files#diff-60f846b86fb6a... | {
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https://api.github.com/repos/huggingface/transformers/issues/19709 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19709/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19709/comments | https://api.github.com/repos/huggingface/transformers/issues/19709/events | https://github.com/huggingface/transformers/pull/19709 | 1,412,934,260 | PR_kwDOCUB6oc5BAFDC | 19,709 | [Conditional, Deformable DETR] Add postprocessing methods | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"> Could you add Conditional DETR to MODEL_FOR_XXX_SEGMENTATION_MAPPING_NAMES?\r\n\r\nDo you mean I need to add the model to all 3 segmentation mapping names? Cause that isn't the case with DETR either\r\n\r\n",
"> > Could you add C... | 1,666 | 1,667 | 1,667 | CONTRIBUTOR | null | # What does this PR do?
This PR adds `post_process_object_detection` to Conditional DETR and Deformable DETR's feature extractors. They both use the same postprocessing (and it's different from original DETR + YOLOS).
It also removes methods which aren't necessary: YOLOS and Deformable DETR don't have a segmentat... | {
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https://api.github.com/repos/huggingface/transformers/issues/19708 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19708/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19708/comments | https://api.github.com/repos/huggingface/transformers/issues/19708/events | https://github.com/huggingface/transformers/issues/19708 | 1,412,878,108 | I_kwDOCUB6oc5UNs8c | 19,708 | trying fine-tuning Reformer on Squad2 dataset from pre-trained model "google/crime-and-punishment". | {
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"Please follow the template to file your issue or ask your question on the [forums](https://discuss.huggingface.co/).",
"Ok, thank you. I open a discussion in the forum in the Transformers category about that",
"This issue has been automatically marked as stale because it has not had recent activity. If you thi... | 1,666 | 1,669 | 1,669 | NONE | null | I'm trying fine-tuning Reformer on Squad2 dataset from pre-trained model "google/crime-and-punishment".
Using tok.cls_token = tok.pad_token, I have the following error:

So I add tok.pad_token = tok.eos_... | {
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https://api.github.com/repos/huggingface/transformers/issues/19707 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19707/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19707/comments | https://api.github.com/repos/huggingface/transformers/issues/19707/events | https://github.com/huggingface/transformers/pull/19707 | 1,412,747,363 | PR_kwDOCUB6oc5A_dRq | 19,707 | add return_tensors parameter for feature_extraction 2 | {
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"@ajsanjoaquin FYI.",
"_The documentation is not available anymore as the PR was closed or merged._",
"@Narsil Thanks for fixing!"
] | 1,666 | 1,666 | 1,666 | CONTRIBUTOR | null | # What does this PR do?
Fixes #10016
add return_tensor parameter for feature extraction
Revert "Merge branch 'feature-extraction-return-tensor' of https://github.com/ajsanjoaquin/transformers into feature-extraction-return-tensor"
This reverts commit d559da743b87914e111a84a98ba6dbb70d08ad88, reversing
changes made ... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,666 | 1,666 | 1,666 | COLLABORATOR | null | # What does this PR do?
Fixes #19672
With respect to #19672, the `__call__` method of the `WhisperProcessor` was updated.
The doctest were also not passing with the new `max_length`, see #19670 and #19668
@ydshieh | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,666 | 1,692 | 1,666 | CONTRIBUTOR | null | # What does this PR do?
<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
Then, please replace this w... | {
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https://api.github.com/repos/huggingface/transformers/issues/19704 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19704/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19704/comments | https://api.github.com/repos/huggingface/transformers/issues/19704/events | https://github.com/huggingface/transformers/pull/19704 | 1,412,676,119 | PR_kwDOCUB6oc5A_OP3 | 19,704 | 🔥[Community Event] Doc Tests Sprint - Configuration files🔥 #19487 | {
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"Please follow the [contributing guide](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md) and make sure you open a pull request that does some modifications on one of the configurations.",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_19704). All o... | 1,666 | 1,672 | 1,672 | NONE | null | I want to work on this project.
Thank you | {
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https://api.github.com/repos/huggingface/transformers/issues/19703 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19703/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19703/comments | https://api.github.com/repos/huggingface/transformers/issues/19703/events | https://github.com/huggingface/transformers/pull/19703 | 1,412,472,929 | PR_kwDOCUB6oc5A-jOE | 19,703 | Added config for configuration_clip.py | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_19703). All of your documentation changes will be reflected on that endpoint."
] | 1,666 | 1,666 | 1,666 | CONTRIBUTOR | null | # What does this PR do?
Based on issue: https://github.com/huggingface/transformers/issues/19487
@ydshieh could you please check it?
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https://api.github.com/repos/huggingface/transformers/issues/19702 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19702/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19702/comments | https://api.github.com/repos/huggingface/transformers/issues/19702/events | https://github.com/huggingface/transformers/issues/19702 | 1,412,438,416 | I_kwDOCUB6oc5UMBmQ | 19,702 | Running tokenizer on dataset -- Hangs | {
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"Setting `--preprocessing_num_workers 1` removes this issue...",
"This looks like an issue that should be reported to the [Datasets repo](https://github.com/huggingface/datasets/).",
"Ok thanks I've just cross linked it.",
"This issue has been automatically marked as stale because it has not had recent activi... | 1,666 | 1,691 | 1,669 | NONE | null | ### System Info
transformers 4.20.0.dev0 dev_0
python 3.7.11 h12debd9_0
linux os.
### Who can help?
@SaulLu when I use the wikitext-103 dataset the tokenizer hangs with `Running tokenizer on dataset` and shows no progress. This was not always an issue but... | {
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https://api.github.com/repos/huggingface/transformers/issues/19701 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19701/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19701/comments | https://api.github.com/repos/huggingface/transformers/issues/19701/events | https://github.com/huggingface/transformers/issues/19701 | 1,412,434,297 | I_kwDOCUB6oc5UMAl5 | 19,701 | AttributeError: 'DistributedDataParallel' object has no attribute 'push_to_hub' | {
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"Does the model need to be unwrapped before pushing to hub?\r\n \r\n```python\r\nunwrapped_model = accelerator.unwrap_model(model)\r\nunwrapped_model.push_to_hub(\"code-350-model\")\r\n```",
"Yes :)",
"> Yes :)\r\n\r\nOk. Thank you for the response!"
] | 1,666 | 1,666 | 1,666 | NONE | null | ### System Info
- `transformers` version: 4.23.1
- Platform: Linux-4.15.0-193-generic-x86_64-with-glibc2.27
- Python version: 3.10.6
- Huggingface_hub version: 0.10.1
- PyTorch version (GPU?): 1.12.1 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- J... | {
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https://api.github.com/repos/huggingface/transformers/issues/19700 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19700/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19700/comments | https://api.github.com/repos/huggingface/transformers/issues/19700/events | https://github.com/huggingface/transformers/pull/19700 | 1,412,390,866 | PR_kwDOCUB6oc5A-SaR | 19,700 | Update contribution guide | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,666 | 1,666 | 1,666 | MEMBER | null | This PR adds some updates to the contribution guide such as including a brief section for adding new documentation and being able to preview the docs once you successfully open a pull request. | {
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"cc @gante ",
"Hi @amrsharaf 👋 `max_length` is relative to the length of the padded sequence -- actually, all sequences have the same length during generate, no exceptions.\r\n\r\nNevertheless, there is a way to control the length of the generation that is independent of the input length: with `max_new_tokens`. ... | 1,666 | 1,666 | 1,666 | NONE | null | ### System Info
- `transformers` version: 4.22.0.dev0
- Platform: Linux-5.4.0-1089-azure-x86_64-with-glibc2.27
- Python version: 3.10.4
- Huggingface_hub version: 0.9.0
- PyTorch version (GPU?): 1.12.1 (True)
- Tensorflow version (GPU?): not installed (NA)
- 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._",
"Thank you very much @ydshieh!!"
] | 1,666 | 1,666 | 1,666 | CONTRIBUTOR | null | Add configuration_wav2vec2.py to utils/documentation_tests.txt for doctest.
Based on issue: [19487](https://github.com/huggingface/transformers/issues/19487)
@ydshieh could you please check it?
Thanks :)
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"For the failing tests, Wait a little bit a PR related to\nThe tests will be merged ☺️",
"Great! I'll try again then once the PR that you have mentioned will be merged ",
"_The documentation is not available anymore as the PR was closed or merged._",
"We now know the root cause of the initial issue explained ... | 1,666 | 1,666 | 1,666 | CONTRIBUTOR | null | # What does this PR do?
This PR adds `accelerate` support for `Whisper`, this way `Whisper` can be loaded in 8-bit as follows:
```
from transformers import WhisperModel
model = WhisperModel.from_pretrained("openai/whisper-tiny", device_map="auto", load_in_8bit=True)
```
However some slow tests are not passi... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,666 | 1,666 | 1,666 | COLLABORATOR | null | # What does this PR do?
This PR adds a new job to test our repo utils, which is only run when there is a change in said utils. This is to make sure community contributions to those don't break anything there. As an example, it also add a couple of tests for the test fetcher. | {
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] | 1,666 | 1,666 | 1,666 | CONTRIBUTOR | null | Add configuration_cvt.py to utils/documentation_tests.txt for doctest.
Based on #19487
@ydshieh could you please check it?
Thanks :) | {
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https://api.github.com/repos/huggingface/transformers/issues/19694 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19694/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19694/comments | https://api.github.com/repos/huggingface/transformers/issues/19694/events | https://github.com/huggingface/transformers/pull/19694 | 1,412,103,510 | PR_kwDOCUB6oc5A9TyX | 19,694 | Update CONTRIBUTING.md | {
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"Thanks for the PR! In this case, adding *that* doesn't make it an adverb, and I don't think it's necessary to use it as a determiner since we're talking about the bug in a general and generic sense."
] | 1,666 | 1,666 | 1,666 | CONTRIBUTOR | null | adverb missing
# What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/19693 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19693/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19693/comments | https://api.github.com/repos/huggingface/transformers/issues/19693/events | https://github.com/huggingface/transformers/pull/19693 | 1,412,100,259 | PR_kwDOCUB6oc5A9TIg | 19,693 | Update CONTRIBUTING.md | {
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"Hey @shreem-123, thanks for your contribution, but this is not a problem. This is the intended punctuation.\r\n\r\nCould you please bundle you... | 1,666 | 1,667 | 1,667 | CONTRIBUTOR | null | punctuation missing
# What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/19692 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19692/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19692/comments | https://api.github.com/repos/huggingface/transformers/issues/19692/events | https://github.com/huggingface/transformers/pull/19692 | 1,412,087,126 | PR_kwDOCUB6oc5A9QRI | 19,692 | Fix checkpoint used in `VisualBertConfig` doc example | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_19692). All of your documentation changes will be reflected on that endpoint."
] | 1,666 | 1,666 | 1,666 | COLLABORATOR | null | # What does this PR do?
The checkpoint was wrong, and not cached during the review in the config doctest PR (as it was wrong all the time). | {
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https://api.github.com/repos/huggingface/transformers/issues/19691 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19691/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19691/comments | https://api.github.com/repos/huggingface/transformers/issues/19691/events | https://github.com/huggingface/transformers/issues/19691 | 1,412,064,123 | I_kwDOCUB6oc5UKmN7 | 19,691 | Not able to run evaluate on whisper.tflite that got generated from TFWhisper model | {
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"Hi @nyadla-sys 👋 \r\n\r\nThat is a great question! The problem here is that generation is much more than a forward pass of the model. Fortunately, our generation code is compatible with TF Graph mode, which means you can compile the entire generation procedure into a graph, which you can directly compare to our e... | 1,666 | 1,705 | 1,679 | NONE | null | ### Model description
@gante
Generated HF TFwhisper model into whisper.tfllite model. However, I'm not sure how to evaluate the created whisper tflite model.
https://colab.research.google.com/github/usefulsensors/openai-whisper/blob/main/tflite_from_huggingface_whisper.ipynb
I would appreciate your assistance i... | {
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https://api.github.com/repos/huggingface/transformers/issues/19690 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19690/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19690/comments | https://api.github.com/repos/huggingface/transformers/issues/19690/events | https://github.com/huggingface/transformers/pull/19690 | 1,412,057,996 | PR_kwDOCUB6oc5A9J6J | 19,690 | Fix dtype in radnomly initialized head | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,666 | 1,666 | 1,666 | COLLABORATOR | null | # What does this PR do?
This PR fixes the following [issue](https://github.com/huggingface/accelerate/issues/757) reported in Accelerate: when a model is loaded with `device_map="auto"` and some `torch_dtype`, the randomly initialized head does not respect said dtype. | {
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https://api.github.com/repos/huggingface/transformers/issues/19689 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19689/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19689/comments | https://api.github.com/repos/huggingface/transformers/issues/19689/events | https://github.com/huggingface/transformers/pull/19689 | 1,412,047,691 | PR_kwDOCUB6oc5A9Hss | 19,689 | Update CONTRIBUTING.md | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,666 | 1,666 | 1,666 | CONTRIBUTOR | null | punctuation missing
# What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/19688 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19688/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19688/comments | https://api.github.com/repos/huggingface/transformers/issues/19688/events | https://github.com/huggingface/transformers/pull/19688 | 1,412,045,915 | PR_kwDOCUB6oc5A9HTT | 19,688 | Update CONTRIBUTING.md | {
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"No, those two words complement each other. No need for a slash here.",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_19688). All of your documentation changes will be reflected on that endpoint."
] | 1,666 | 1,666 | 1,666 | CONTRIBUTOR | null | words with different meaning used together.
# What does this PR do?
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] | 1,666 | 1,666 | 1,666 | CONTRIBUTOR | null | # What does this PR do?
This PR updates a Copied from statement for YolosFeatureExtractor, and removes 2 methods which aren't necessary for the model (as there is no segmentation head model). | {
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https://api.github.com/repos/huggingface/transformers/issues/19686 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19686/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19686/comments | https://api.github.com/repos/huggingface/transformers/issues/19686/events | https://github.com/huggingface/transformers/issues/19686 | 1,411,972,631 | I_kwDOCUB6oc5UKP4X | 19,686 | Make use of KenLM's pypi version | {
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"Also cc @ydshieh and @sgugger here",
"And let's not forget the [circleCI config](https://github.com/huggingface/transformers/blob/c7edde1a692012eda23bc2b837588557b97ad729/.circleci/create_circleci_config.py#L130) as well ;-)",
"@patrickvonplaten I would like to pick up this."
] | 1,666 | 1,666 | 1,666 | MEMBER | null | ### Feature request
Use PyPi version of KenLM instead of installing archieve file from Github.
### Motivation
Now that kenlm is on pypi: https://github.com/kpu/kenlm/issues/363#issuecomment-1280050903 let's use it :-)
### Your contribution
@sanchit-gandhi would you give this a try as an exercise to see how we d... | {
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https://api.github.com/repos/huggingface/transformers/issues/19685 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19685/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19685/comments | https://api.github.com/repos/huggingface/transformers/issues/19685/events | https://github.com/huggingface/transformers/pull/19685 | 1,411,963,720 | PR_kwDOCUB6oc5A81b7 | 19,685 | [Doctest] Add configuration_xlm.py | {
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] | 1,666 | 1,666 | 1,666 | CONTRIBUTOR | null | Add configuration_xlm.py to utils/documentation_tests.txt for doctest.
Based on #19487
@ydshieh could you please check it?
Thanks :) | {
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https://api.github.com/repos/huggingface/transformers/issues/19684 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19684/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19684/comments | https://api.github.com/repos/huggingface/transformers/issues/19684/events | https://github.com/huggingface/transformers/pull/19684 | 1,411,962,334 | PR_kwDOCUB6oc5A81Io | 19,684 | [Examples] make default preprocessing_num_workers=1 | {
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"Ok I removed it.",
"_The documentation is not available anymore as the PR was closed or merged._",
"The failing check was fixed on main, so no need to worry about it. Thanks for your work on this!"
] | 1,666 | 1,666 | 1,666 | 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/19683 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19683/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19683/comments | https://api.github.com/repos/huggingface/transformers/issues/19683/events | https://github.com/huggingface/transformers/pull/19683 | 1,411,875,071 | PR_kwDOCUB6oc5A8iJe | 19,683 | Small fixes for TF-ESM1b and ESM-1b weight conversions | {
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