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https://api.github.com/repos/huggingface/transformers/issues/16363 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16363/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16363/comments | https://api.github.com/repos/huggingface/transformers/issues/16363/events | https://github.com/huggingface/transformers/pull/16363 | 1,178,348,489 | PR_kwDOCUB6oc405N4y | 16,363 | [Doctests] Make roberta-like meaningfull | {
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"Thank you, @patrickvonplaten ! I do have one question: what should we do if other models give **not so good** results on these examples? We just try and use other input strings (which will give good outputs), and put the doc examples inside the model file?\r\n",
"> Thank you, @patrickvonplaten ! I do have one qu... | 1,648 | 1,648 | 1,648 | MEMBER | null | # What does this PR do?
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Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,648 | 1,648 | 1,648 | COLLABORATOR | null | # What does this PR do?
This PR makes sure that we actually go look in the cached files when hf.co is down (or the internet connection of the user). The main issue was that we were raising the `HTTPError` too fast and didn't execute the code path that goes look in the cached files.
Since that error is now delayed... | {
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https://api.github.com/repos/huggingface/transformers/issues/16361 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16361/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16361/comments | https://api.github.com/repos/huggingface/transformers/issues/16361/events | https://github.com/huggingface/transformers/issues/16361 | 1,178,170,224 | I_kwDOCUB6oc5GOXNw | 16,361 | output_scores causes trainer.predict to error out | {
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"Yes, the `Seq2SeqTrainer` does not support `return_dict_in_generate` for now, so that is expected. In the meantime, using the `no_trainer` example would allow you to customize everything to your needs.",
"thanks @sgugger for the quick reply. Does it support `output_scores`? I took out the `return_dict_in_genera... | 1,648 | 1,672 | 1,651 | NONE | null | ## Environment info
- `transformers` version: 4.17.0
- Platform: Linux-4.14.252-131.483.amzn1.x86_64-x86_64-with-glibc2.9
- Python version: 3.6.13
- PyTorch version (GPU?): 1.7.1 (True)
- 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/16360 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16360/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16360/comments | https://api.github.com/repos/huggingface/transformers/issues/16360/events | https://github.com/huggingface/transformers/pull/16360 | 1,178,025,579 | PR_kwDOCUB6oc404IyE | 16,360 | Add doctests for albert, bert, bigbird, mobilebert | {
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Add doctests for albert, bert, bigbird, mobilebert
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING... | {
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"You can just do:\r\n\r\n```\r\nfrom transformers import AutoTokenizer\r\nimport torch\r\n\r\ntokenizer = AutoTokenizer.from_pretrained(\"bert-base-uncased\")\r\n\r\ndevice = \"cuda\" if torch.cuda.is_available() else \"cpu\"\r\n\r\ntext = \"hello world\"\r\nencoding = tokenizer(text, return_tensors=\"pt\").to(devi... | 1,648 | 1,693 | 1,648 | NONE | null | # 🚀 Feature request
I think it will make sense if the tokenizer.encode() and in particular, tokenizer.encode_plus() accepting a string as input, will also get "device" as an argument and cast the resulting tensors to the given device. Otherwise, in case of encode_plus(), one has to loop through the output dict and ... | {
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https://api.github.com/repos/huggingface/transformers/issues/16358 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16358/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16358/comments | https://api.github.com/repos/huggingface/transformers/issues/16358/events | https://github.com/huggingface/transformers/issues/16358 | 1,177,947,527 | I_kwDOCUB6oc5GNg2H | 16,358 | Can't load Longformer Encoder Decoder converted from a MBart. | {
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"Hi @VioletRaven\r\n\r\nConsider this question involves:\r\n\r\n- external script: `allenai/longformer`\r\n- a full & custom model architecture code\r\n\r\nthis is beyond the scope of maintenance the original `transformers` library. \r\n\r\n[Hugging Face Forums](https://discuss.huggingface.co/) is a better place f... | 1,648 | 1,648 | 1,648 | NONE | null | Hello there,
I have built a Longformer Encoder Decoder on top of a MBart architecture by simply following instructions provided at (https://github.com/allenai/longformer/blob/master/scripts/convert_bart_to_longformerencoderdecoder.py).
This is the huggingface MBart model --> **ARTeLab/mbart-summarization-fanpage**
... | {
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https://api.github.com/repos/huggingface/transformers/issues/16357 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16357/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16357/comments | https://api.github.com/repos/huggingface/transformers/issues/16357/events | https://github.com/huggingface/transformers/pull/16357 | 1,177,880,644 | PR_kwDOCUB6oc403qUm | 16,357 | Make FeaturesManager.get_model_from_feature a static method | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,648 | 1,648 | 1,648 | MEMBER | null | # What does this PR do?
This makes `FeaturesManager.get_model_from_feature` a static method. It was already implied but there was a missing `@staticmethod` decorator.
Fixes #16347
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_16356). All of your documentation changes will be reflected on that endpoint."
] | 1,648 | 1,648 | 1,648 | CONTRIBUTOR | null | # What does this PR do?
Attempts to implement #16327 by adding two new `TrainingArguments` arguments, one to delay evaluation until a certain number of epochs have passed and another for steps (which overrides the former). The aim is to delay evaluation to free up more time for training at the initial stages.
## ... | {
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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) for additional chances of getting an answer?\r\n\r\nThanks!",
"@LysandreJik Sorry I didn't know the existence of the forum, I will write a ... | 1,648 | 1,648 | 1,648 | NONE | null | ## Environment info
- `transformers` version: 4.15.0
- Platform: Linux-4.15.0-162-generic-x86_64-with-debian-buster-sid
- Python version: 3.7.11
- PyTorch version (GPU?): 1.7.1 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not installed
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"Thank you working on this, @NielsRogge \r\n\r\nDo you think it's possible to:\r\n- Add more realistic examples for `TapasForQuestionAnswering`... | 1,648 | 1,651 | 1,651 | CONTRIBUTOR | null | # What does this PR do?
Adds CANINE and TAPAS to the doc tests. | {
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"Hey @z-bookworm 👋 From the name of the folder on the hub, it seems like you are trying to load a Roberta model (\"uer/chinese_roberta_L-4_H-512\") in a BERT model class. Can you try replacing `TFBertForSequenceClassification` with `TFRobertaForSequenceClassification`?\r\n\r\nLet us know if it solves your problem... | 1,648 | 1,706 | null | NONE | null | ## Environment info
- `transformers` version: 4.17.0
- Python version: 3.7.11
- PyTorch version (GPU?): 1.10.1 (True)
- Tensorflow version (GPU?): 2.8.0 (False)
### Who can help
@LysandreJik
## Information
`TFBertForSequenceClassification` will not load `bert.embeddings.position_ids` from pytorch chec... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_16352). All of your documentation changes will be reflected on that endpoint.",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please... | 1,648 | 1,651 | 1,651 | CONTRIBUTOR | null | # What does this PR do?
This PR makes the `forward` endpoint of the REST server support arbitrary pipeline params. This allows for easy configuration, such as setting `max_length` and `temperature`.
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"yes, and I couldn't use from_pretrained() in my code",
"+1",
"+1",
"+1",
"+1",
"+1",
"+1\r\n\r\n500 Server Error: Internal Server Error for url: https://huggingface.co/bert-base-uncased/resolve/main/config.json\r\n\r\nOSError: We couldn't connect to 'https://huggingface.co/' to load this model and it l... | 1,648 | 1,648 | 1,648 | NONE | null | <img width="800" src="https://user-images.githubusercontent.com/16131917/159614484-741db4c9-5c60-442a-8df2-efa39869369d.png">
**Set `local_files_only` to be True for reading the local cache first。**
```python
tokenizer = BertTokenizer.from_pretrained(tokenizer_config.model_path, local_files_only=True)
```
# ... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_16350). All of your documentation changes will be reflected on that endpoint.",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please... | 1,647 | 1,651 | 1,651 | CONTRIBUTOR | null | # What does this PR do?
Supplying a manual config file to a pipeline does not work. The model defaults is used instead.
This is due to the config file supplied to pipeline is not passed on to the instantiation of a model.
This PR solves this by simply passing on the config object from the pipeline to the model i... | {
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"Preliminary Tasks: \r\n- [x] Load Model Run Inference\r\n- [ ] Understand the Explore Hugging Face Encoder Functions determine API or options availible to the encoder for FP and other TTS\r\n- [ ] Port CMU Dict and Text Processing and Cleaners over to HF for the Encoder?\r\nScope out more tasks these are just eno... | 1,647 | 1,648 | null | CONTRIBUTOR | null | # 🌟 New model addition
## Model description
<!-- Important information -->
**What type of model is Fast Pitch 1.1?**
It is a Mel spectrogram generator (part of a speech to text model engine) that mainly comprises of two Feed Forward Transformer stacks.
Fast Pitch is used to transform text to a spectrogram *... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_16348). All of your documentation changes will be reflected on that endpoint.",
"Thank you @Duedme! 🤗\r\n\r\n@sgugger LGTM 👍 ",
"There are a lot of conflicts in your branch, for just one added file. I think the easiest ... | 1,647 | 1,648 | 1,648 | CONTRIBUTOR | null | # Translation of autoclass_tutorial.mdx into spanish
I made the translation of autoclass_tutorial.mdx into Spanish (fixes https://github.com/huggingface/transformers/issues/15947). The document is located in the transformers/docs/source_es folder.
@omarespejel
## Before submitting
- [x] This PR fixes a typo ... | {
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<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: 4.17.0
- Platform: Linux (Pop!_OS)
- Python version: 3.9.6
- PyTorch version (GPU?): 1.9.0+cu111
- Tensorfl... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,647 | 1,647 | 1,647 | MEMBER | null | # What does this PR do?
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [ ] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/master/CONTRIBUTING.md#start-contributing-pull-requests),
Pull... | {
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"@patil-suraj @sanchit-gandhi - this surely makes a difference when training - I'm not sure how much of a difference though. Will be interestin... | 1,647 | 1,648 | 1,648 | MEMBER | null | # What does this PR do?
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Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
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"@sgugger is it possibile to apply sharding to a current pretrained model that is bigger than 10gb (let's say t0pp like), using \n\nload_pretrained-> save_pretrained\n\nTo save a sharded version, and the again\n\nload_pretrained\n\nTh... | 1,647 | 1,658 | 1,648 | COLLABORATOR | null | # What does this PR do?
This PR introduces the ability to create and load sharded checkpoints. It introduces a new argument in `save_pretrained` that controls the maximum size of a checkpoint before being auto-sharded into smaller parts (which defaults to 10GB after internal discussion, which should be good with the... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,647 | 1,647 | 1,647 | MEMBER | null | This PR adopts the framework-specific blocks from [#130](https://github.com/huggingface/doc-builder/pull/130) for PyTorch/TensorFlow code samples and content. | {
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https://api.github.com/repos/huggingface/transformers/issues/16341 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16341/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16341/comments | https://api.github.com/repos/huggingface/transformers/issues/16341/events | https://github.com/huggingface/transformers/pull/16341 | 1,177,067,744 | PR_kwDOCUB6oc4009-_ | 16,341 | Modeling Outputs | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Updated the docstring of the outputs and replaced multiple models' outputs with the new ones",
"@NielsRogge Not sure what the point of your last comments. We know the modeling outputs won't work for every model and we have a strate... | 1,647 | 1,648 | 1,648 | CONTRIBUTOR | null | # What does this PR do?
This PR tries to add new model outputs to cover avoid implementing custom outputs for models that do not have attentions. Three new outputs are added:
- `BaseModelOutputWithNoAttention`
- `BaseModelOutputWithPoolingAndNoAttention`
- `ImageClassifierOutputWithNoAttention`
The docstring o... | {
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https://api.github.com/repos/huggingface/transformers/issues/16340 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16340/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16340/comments | https://api.github.com/repos/huggingface/transformers/issues/16340/events | https://github.com/huggingface/transformers/pull/16340 | 1,177,044,666 | PR_kwDOCUB6oc4005A4 | 16,340 | VAN: Code sample tests | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,647 | 1,647 | 1,647 | CONTRIBUTOR | null | # What does this PR do?
This PR fixes the wrong name in `_CHECKPOINT_FOR_DOC` for VAN
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https://api.github.com/repos/huggingface/transformers/issues/16339 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16339/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16339/comments | https://api.github.com/repos/huggingface/transformers/issues/16339/events | https://github.com/huggingface/transformers/issues/16339 | 1,176,987,587 | I_kwDOCUB6oc5GJ2fD | 16,339 | The `convert_tokens_to_string` method fails when the added tokens include a space | {
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"One way to solve this problem is to move the logic implemented in the `_decode` method into the `convert_tokens_to_string` method. \r\nhttps://github.com/huggingface/transformers/blob/9d88be57785dccfb1ce104a1226552cd216b726e/src/transformers/tokenization_utils.py#L933-L946\r\n\r\nThe only issue will be that we'll ... | 1,647 | 1,653 | 1,653 | CONTRIBUTOR | null | ## Environment info
```
- `transformers` version: 4.17.0
- Platform: Linux-5.4.144+-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.7.12
- PyTorch version (GPU?): 1.10.0+cu111 (False)
- Tensorflow version (GPU?): 2.8.0 (False)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not installed
... | {
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https://api.github.com/repos/huggingface/transformers/issues/16338 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16338/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16338/comments | https://api.github.com/repos/huggingface/transformers/issues/16338/events | https://github.com/huggingface/transformers/pull/16338 | 1,176,987,192 | PR_kwDOCUB6oc400snY | 16,338 | Add type annotations for Rembert/Splinter and copies | {
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"By the way, GitHub is having some issues right now and tests may not be running. Feel free to continue with the PR, but we'll need to wait for them to come back before we can merge!",
"_The documentation is not available anymore as the PR was closed or merged._",
"Tests are back, going to try fixing copies etc... | 1,647 | 1,647 | 1,647 | CONTRIBUTOR | null | Splinter and Rembert (Torch) type annotations.
Dependencies on Bert (Torch).
Raw files w/o running make fixup or make fix-copies
#16059
@Rocketknight1 | {
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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... | 1,647 | 1,662 | 1,662 | CONTRIBUTOR | null | ## Environment info
```
- `transformers` version: 4.17.0
- Platform: Linux-5.4.144+-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.7.12
- PyTorch version (GPU?): 1.10.0+cu111 (False)
- Tensorflow version (GPU?): 2.8.0 (False)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not installed
... | {
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https://api.github.com/repos/huggingface/transformers/issues/16336 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16336/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16336/comments | https://api.github.com/repos/huggingface/transformers/issues/16336/events | https://github.com/huggingface/transformers/issues/16336 | 1,176,956,572 | I_kwDOCUB6oc5GJu6c | 16,336 | A slow tokenizer cannot add a token with the argument `lstrip=False` | {
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"The logic for `lstrip` **is** implemented for slow tokenizers actually:\r\n\r\nhttps://github.com/huggingface/transformers/blob/main/src/transformers/tokenization_utils.py#L519\r\n\r\nThe main thing I think is that in that function,the added token is NOT in the `all_special_added_tokens_extended`. If it was, it wo... | 1,647 | 1,653 | 1,653 | CONTRIBUTOR | null | ## Environment info
```
- `transformers` version: 4.17.0
- Platform: Linux-5.4.144+-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.7.12
- PyTorch version (GPU?): 1.10.0+cu111 (False)
- Tensorflow version (GPU?): 2.8.0 (False)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not installed
... | {
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https://api.github.com/repos/huggingface/transformers/issues/16335 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16335/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16335/comments | https://api.github.com/repos/huggingface/transformers/issues/16335/events | https://github.com/huggingface/transformers/pull/16335 | 1,176,870,556 | PR_kwDOCUB6oc400Tqd | 16,335 | [WIP] test doctest | {
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test doctest | {
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"cc @Narsil @SaulLu ",
"Hi, The behavior can be explained by the fact that the encode, splits on whitespace and ignores them, \r\nthen the decoder uses `Metaspace` (which is for the `spm` behavior) which does not prefix things with spaces even on the added token. The spaces are supposed to already be contained wi... | 1,647 | 1,662 | 1,662 | MEMBER | null | When adding a new token to T5TokenizerFast and/or T5Tokenizer, we get different results for the tokenizers which is unexpected.
E.g. running the following code:
```python
from transformers import AutoTokenizer, AddedToken
tok = AutoTokenizer.from_pretrained("t5-small", use_fast=False)
tok_fast = AutoTokeniz... | {
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https://api.github.com/repos/huggingface/transformers/issues/16333 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16333/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16333/comments | https://api.github.com/repos/huggingface/transformers/issues/16333/events | https://github.com/huggingface/transformers/pull/16333 | 1,176,798,537 | PR_kwDOCUB6oc400EN- | 16,333 | Update docs/README.md | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Do you mean: there are some python module files or doc files, for which if we want to run doctest, it will require changes (preparation) in files other than \r\n\r\n- the target files themselves\r\n- `file_utils.py`\r\n",
"> Ah so... | 1,647 | 1,648 | 1,648 | COLLABORATOR | null | # What does this PR do?
Add information about how to perform doc testing **for a specific python module**. Potentially making the process less scaring (a lot of file changes) for the users.
Also make it more clear/transparent that `file_utils.py` should be (almost) always included.
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https://api.github.com/repos/huggingface/transformers/issues/16332 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16332/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16332/comments | https://api.github.com/repos/huggingface/transformers/issues/16332/events | https://github.com/huggingface/transformers/pull/16332 | 1,176,736,947 | PR_kwDOCUB6oc40z26G | 16,332 | TF - Fix interchangeable past/past_key_values and revert output variable name in GPT2 | {
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"~(Wait, there is an error)~ \r\n~Should be good now~ \r\nNope",
"@patrickvonplaten hold your review, this change is not conflicting with the `encoder_decoder` models. I believe I know why, digging deeper.",
"_The documentation is not available anymore as the PR was closed or merged._",
"@patrickvonplaten now... | 1,647 | 1,648 | 1,648 | MEMBER | null | # Context
From the discussion in https://github.com/huggingface/transformers/pull/16311 (PR that applies `@unpack_inputs` to TF `gpt2`): In the generate refactor, TF `gpt2` got an updated `prepare_inputs_for_generation()`, where its output `past` got renamed into `past_key_values` (i.e. as in FLAX/PT). Patrick sugge... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,647 | 1,647 | 1,647 | CONTRIBUTOR | null | # What does this PR do?
This PR adds a link to a notebook. | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"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 gu... | 1,647 | 1,654 | 1,654 | CONTRIBUTOR | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/16329 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16329/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16329/comments | https://api.github.com/repos/huggingface/transformers/issues/16329/events | https://github.com/huggingface/transformers/pull/16329 | 1,176,653,154 | PR_kwDOCUB6oc40zkzW | 16,329 | Spanish translation of the file multilingual.mdx | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"any other thing left to do? @omarespejel ",
"@SimplyJuanjo thank you! 🤗 \r\n\r\n@sgugger LGTM 👍 "
] | 1,647 | 1,670 | 1,648 | CONTRIBUTOR | null | # What does this PR do?
Adds the Spanish version of [multilingual.mdx](https://github.com/huggingface/transformers/blob/master/docs/source/en/multilingual.mdx) to [transformers/docs/source_es](https://github.com/huggingface/transformers/tree/main/docs/source/es)
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"cc @peregilk @stefan-it ",
"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,647 | 1,648 | 1,648 | MEMBER | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/16327 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16327/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16327/comments | https://api.github.com/repos/huggingface/transformers/issues/16327/events | https://github.com/huggingface/transformers/issues/16327 | 1,176,575,202 | I_kwDOCUB6oc5GIRzi | 16,327 | Arg to begin `Trainer` evaluation on eval data after n steps/epochs | {
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"That sounds like a very interesting new feature, and I agree with the proposed implementation. Would you like to work on a PR for this?",
"Sure thing! @sgugger ",
"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 comm... | 1,647 | 1,651 | 1,651 | CONTRIBUTOR | null | # 🚀 Feature request
It would be great to be able to have the option to delay evaluation on the eval set until after a set number of steps/epochs.
## Motivation
Evaluation metrics can take a while to calculate and are arguably often not as meaningful in the early stages of training (like during warmup). This c... | {
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https://api.github.com/repos/huggingface/transformers/issues/16325 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16325/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16325/comments | https://api.github.com/repos/huggingface/transformers/issues/16325/events | https://github.com/huggingface/transformers/issues/16325 | 1,176,459,707 | I_kwDOCUB6oc5GH1m7 | 16,325 | Implement HybridNets: End-to-End Perception Network | {
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"cc @NielsRogge ",
"Hi @chainyo, thanks for opening this new model request! \r\n\r\nHere's a guide on adding a model to the hub if you, or anyone else in the community is still interested: https://huggingface.co/docs/transformers/custom_models"
] | 1,647 | 1,694 | 1,693 | CONTRIBUTOR | null | # 🌟 New model addition
## Model description
Quote from the Github repository:
```markdown
HybridNets is an end2end perception network for multi-tasks.
Our work focused on traffic object detection, drivable area segmentation and lane detection.
HybridNets can run real-time on embedded systems, and ob... | {
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https://api.github.com/repos/huggingface/transformers/issues/16324 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16324/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16324/comments | https://api.github.com/repos/huggingface/transformers/issues/16324/events | https://github.com/huggingface/transformers/pull/16324 | 1,176,445,931 | PR_kwDOCUB6oc40y5OK | 16,324 | Add type hints for Pegasus model (PyTorch) | {
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] | 1,647 | 1,647 | 1,647 | CONTRIBUTOR | null | Adding type hints for forward methods in user-facing class for Pegasus model (PyTorch) as mentioned in #16059
@Rocketknight1 | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,647 | 1,647 | 1,647 | CONTRIBUTOR | null | # What does this PR do?
Added type hints for Funnel Transformer and TF Funnel Transformer as described in https://github.com/huggingface/transformers/issues/16059
@Rocketknight1 | {
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"@sgugger ",
"Please follow the issue template. You're not showing the script you are running or how you are launching it, so there is nothing anyone can do to help.",
"> Please follow the issue template. You're not showing the script you are running or how you are launching it, so there is nothing anyone can d... | 1,647 | 1,654 | 1,652 | NONE | null | I am fine tuning masked language model from XLM Roberta large on google machine specs.
I made couple of experiments and was strange to see few results. `I think something is not functioning properly. `
I am using pre-trained Hugging face model.
`I launch it as train.py file which I copy inside docker image and ... | {
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https://api.github.com/repos/huggingface/transformers/issues/16321 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16321/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16321/comments | https://api.github.com/repos/huggingface/transformers/issues/16321/events | https://github.com/huggingface/transformers/issues/16321 | 1,176,287,309 | I_kwDOCUB6oc5GHLhN | 16,321 | First token misses the first character in its `offsets_mapping` WHEN `add_prefix_space=True` is used | {
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"Hi @ciaochiaociao ,\r\n\r\nI've just tested you're snippet of code with the latest version of transformers (`transformers==4.17.0`) and the result correspond to what you're expecting:\r\n```python\r\ntokenizer = AutoTokenizer.from_pretrained('roberta-large', use_fast=True)\r\nprint(tokenizer(\"This is a sentence\"... | 1,647 | 1,648 | 1,648 | NONE | null | ## Environment info
- `transformers` version: 3.5.1
- Python version: 3.9.7
- PyTorch version (GPU?): 1.6.0 (GPU)
### Who can help
@SaulLu
## Information
Model I am using (Bert, XLNet ...): roberta-large
## To reproduce
Steps to reproduce the behavior:
```
tokenizer = AutoTokenizer.from_pretra... | {
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"@michaelbenayoun May I know the current situation or your schedule first? Thanks.",
"Hi, \r\nThe plan is to work on a nicer solution for tracing the model as soon as possible.\r\nI will take a look to add those models in the mean time as they might not be hard to add in the current setting.",
"This issue has... | 1,647 | 1,651 | 1,651 | NONE | null | # 🚀 Feature request
Can we support the trace of ViT and Swin-Transformer based on torch.fx()? If not, what's the difficulty for that?
## Motivation
ViT and Swin-Transformation is widely used in CV scenarios. Hope we could support the trace of torch.fx, so we can do the quantization based on the work.
## Yo... | {
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https://api.github.com/repos/huggingface/transformers/issues/16319 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16319/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16319/comments | https://api.github.com/repos/huggingface/transformers/issues/16319/events | https://github.com/huggingface/transformers/issues/16319 | 1,176,142,110 | I_kwDOCUB6oc5GGoEe | 16,319 | ibert seems to be quite slow in quant_mode = True | {
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"Hey @ontocord,\r\n\r\nI don't have much experience with iBERT. @kssteven418 any ideas here? Is such a slowdown expected? ",
"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 i... | 1,647 | 1,651 | 1,651 | NONE | null | Hi, for iBert -
I found it is MUCH slower in quant_mode = True. here's a notebook with a slightly modified version of the HF code to allow dynamically switching quant_mode. You can see the timing difference.
https://colab.research.google.com/drive/1DkYFGc18oPvAn5nyGEL1aIFHmD_aNlXW
@patrickvonplaten
https:... | {
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https://api.github.com/repos/huggingface/transformers/issues/16318 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16318/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16318/comments | https://api.github.com/repos/huggingface/transformers/issues/16318/events | https://github.com/huggingface/transformers/pull/16318 | 1,176,122,069 | PR_kwDOCUB6oc40x0qw | 16,318 | Fix the issue #16317 in judging module names starting with base_model_prefix | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"See discussion on #16317 :-) "
] | 1,647 | 1,648 | 1,648 | NONE | null | This fixed #16317:
```
Keys are still reported as "missing" during model loading even though
specified in `_keys_to_ignore_on_load_missing`
```
as described in detail in #16317.
The cause of the issue is:
* The code that judges if a module name has the `base_model_prefix`
would match it with *any* beg... | {
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https://api.github.com/repos/huggingface/transformers/issues/16317 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16317/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16317/comments | https://api.github.com/repos/huggingface/transformers/issues/16317/events | https://github.com/huggingface/transformers/issues/16317 | 1,176,110,589 | I_kwDOCUB6oc5GGgX9 | 16,317 | [modeling_utils] Keys are still reported as "missing" during model loading even though specified in `_keys_to_ignore_on_load_missing` | {
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"Hey @hui-wan,\r\n\r\nThanks a lot for opening this issue. I'm having some problems following the exact error though here:\r\n\r\nIf `base_model_prefix = \"aabbcc\"`, then why is the line: `self.aabbcc_encoder = AutoModel.from_config(config)` and not `self.aabbcc = AutoModel.from_config(config)`?\r\n\r\nIf the `bas... | 1,647 | 1,648 | 1,648 | NONE | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: 4.18.0.dev0
- Platform: Ubuntu 18.04.6 LTS Linux 4.15.0-167-generic
- Python version: 3.7.11
- PyTorch ... | {
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https://api.github.com/repos/huggingface/transformers/issues/16316 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16316/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16316/comments | https://api.github.com/repos/huggingface/transformers/issues/16316/events | https://github.com/huggingface/transformers/pull/16316 | 1,176,087,824 | PR_kwDOCUB6oc40xtYu | 16,316 | Fix Respect output device in the Pipeline base impl. | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"1/ Is my fix correct? Was there any other reason to keep this on CPU?\r\n2/ Do I need to write any tests?\r\n3/ Could someone rerun the Model templates runner / run_tests_templates (pull_request) task for me?",
"cc @Narsil ",
"@L... | 1,647 | 1,648 | 1,647 | NONE | null | changes hardcoded `"cpu"` device in return in the forward method to `self.device`
# What does this PR do?
The base class in pipeline surprisingly returns a tensor on the right device, and this is then moved to the "cpu" for some reason. This PR makes sure that the input and the output to the `forward(..)` method re... | {
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https://api.github.com/repos/huggingface/transformers/issues/16315 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16315/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16315/comments | https://api.github.com/repos/huggingface/transformers/issues/16315/events | https://github.com/huggingface/transformers/issues/16315 | 1,176,081,347 | I_kwDOCUB6oc5GGZPD | 16,315 | Pipeline always returns to device="cpu" | {
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"@prassanna-ravishankar ,\r\n\r\nThis is actually expected, the `post_process` step needs to happen on CPU (the goal is to return something in JSON so fetching the data back from the GPU is necessary at some point).\r\nDo you mind sharing a little more details on what you attempt to do ? Maybe there's another solu... | 1,647 | 1,647 | 1,647 | NONE | null | ## Environment info
- `transformers` version: 4.16.1
- Platform: Linux-5.10.102.1-microsoft-standard-WSL2-x86_64-with-glibc2.29
- Python version: 3.8.5
- PyTorch version (GPU?): 1.6.0 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not i... | {
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https://api.github.com/repos/huggingface/transformers/issues/16314 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16314/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16314/comments | https://api.github.com/repos/huggingface/transformers/issues/16314/events | https://github.com/huggingface/transformers/pull/16314 | 1,175,967,938 | PR_kwDOCUB6oc40xTPJ | 16,314 | Updates in Trainer to support partial checkpointing for SM Model Parallel library | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_16314). All of your documentation changes will be reflected on that endpoint.",
"Hey! It seems a bad rebase/merge happened on your PR. Usually, closing this PR and opening a new one from the same branch solves the problem."... | 1,647 | 1,652 | 1,652 | CONTRIBUTOR | null | # What does this PR do?
- Adds 2 new training args(`smp_save_partial` and `smp_load_partial`) to support partial checkpointing with SMP
- Uses the right ranks for partial checkpoint saving in should_save.
- Uses `local_state_dict()` with partial checkpoint saving.
- Uses `smp.save` instead of `torch.save` when pa... | {
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https://api.github.com/repos/huggingface/transformers/issues/16313 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16313/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16313/comments | https://api.github.com/repos/huggingface/transformers/issues/16313/events | https://github.com/huggingface/transformers/issues/16313 | 1,175,962,795 | I_kwDOCUB6oc5GF8Sr | 16,313 | Support SageMaker distributed data parallel library v1.4.0 | {
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"Please let us know how we can help upgrading to new SMDDP APIs, thanks!\r\nrelevant PRs:\r\nhttps://github.com/aws/deep-learning-containers/pull/1630\r\nhttps://github.com/huggingface/transformers/pull/9798/files",
"Thank you @roywei .. @philschmid FYI. Looking forward to hearing your input. Also, please let us ... | 1,647 | 1,648 | 1,648 | CONTRIBUTOR | null | Hi,
SageMaker Distributed Data Parallel Library (SMDDP) just release v1.4.0. https://docs.aws.amazon.com/sagemaker/latest/dg/data-parallel.html
In this version, we release a new API to allow SMDDP to work as a PyTorch distributed backend.
Here are the changes needed to use SMDDP v1.4.0 in HF.
Following imports... | {
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https://api.github.com/repos/huggingface/transformers/issues/16312 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16312/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16312/comments | https://api.github.com/repos/huggingface/transformers/issues/16312/events | https://github.com/huggingface/transformers/issues/16312 | 1,175,945,715 | I_kwDOCUB6oc5GF4Hz | 16,312 | Getting a signal: aborted (core dumped) or Segmentation fault (core dumped) error when trying to train on a single GPU | {
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"Hey @dberma15,\r\n\r\nWhat is `bitfusion`? do you have to use it? I'm not familiar with this command",
"@patrickvonplaten Bitfusion is for using a GPU on a shared resource. Using it is equivalent to saying you want to use GPU resources. If you simply type python script.py, you do not use the GPU resources.\r\n",... | 1,647 | 1,674 | 1,651 | NONE | null | ## Environment info
- `transformers` version: 4.17.0
- Platform: Linux-3.10.0-1160.59.1.el7.x86_64-x86_64-with-glibc2.17
- Python version: 3.9.7
- PyTorch version (GPU?): 1.11.0+cu102 (False)
- Tensorflow version (GPU?): 2.8.0 (False)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not install... | {
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https://api.github.com/repos/huggingface/transformers/issues/16311 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16311/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16311/comments | https://api.github.com/repos/huggingface/transformers/issues/16311/events | https://github.com/huggingface/transformers/pull/16311 | 1,175,889,621 | PR_kwDOCUB6oc40xCY7 | 16,311 | TF GPT2: clearer model variable naming with @unpack_inputs | {
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"Some tests failed locally: `12 failed, 37 passed, 1 skipped, 1 warning in 205.75s (0:03:25)`\r\n\r\n\r\nOne such test: `ValueError: The following keyword arguments are not supported by this model: ['past_key_values'].` even though GPT2 calls it `past` as opposed to `past_key_values`. Shouldn't the test be rewritte... | 1,647 | 1,648 | 1,648 | CONTRIBUTOR | null | # What does this PR do?
<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
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https://api.github.com/repos/huggingface/transformers/issues/16310 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16310/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16310/comments | https://api.github.com/repos/huggingface/transformers/issues/16310/events | https://github.com/huggingface/transformers/pull/16310 | 1,175,879,103 | PR_kwDOCUB6oc40xAU8 | 16,310 | Fix BigBirdModelTester | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"The expected value in `test_fast_integration` needs to be updated - if the change in this PR is OK.",
"Totally fine to switch to `block_size=8` if both test run the `\"block_sparse\"` mode this way :-) Thanks a lot for looking into... | 1,647 | 1,648 | 1,648 | COLLABORATOR | null | # What does this PR do?
Current `BigBirdModelTester` with `block_size=16` will cause the model to change `attention_type` from `block_sparse` to `original_full`.
https://github.com/huggingface/transformers/blob/9fef668338b15e508bac99598dd139546fece00b/src/transformers/models/big_bird/modeling_big_bird.py#L2059-L2... | {
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https://api.github.com/repos/huggingface/transformers/issues/16309 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16309/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16309/comments | https://api.github.com/repos/huggingface/transformers/issues/16309/events | https://github.com/huggingface/transformers/pull/16309 | 1,175,831,408 | PR_kwDOCUB6oc40w2Jd | 16,309 | Add LayoutLMv2 OnnxConfig | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_16309). All of your documentation changes will be reflected on that endpoint.",
"There's quite some interest for ONNX support of LayoutLMv2, see #14368 and #14555.",
"> There's quite some interest for ONNX support of Layo... | 1,647 | 1,674 | 1,674 | CONTRIBUTOR | null | # What does this PR do?
Add LayoutLMv2 OnnxConfig to make this model available for conversion.
I took the same config as `LayoutLM` and added the adapted shebang.
## Who can review?
Models: @LysandreJik @lewtun
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"- `GPT-J`: #16274 \r\n- `FlauBERT`: #16279",
"- `LayoutLMv2`: #16309 ",
"Let me try with `BigBird`",
"- `Bigbird` #16427 ",
"Love the initiative here, thanks for opening an issue! Added the `Good First Issue` label so that it's more visible :)",
"> Love the initiative here, thanks for opening an issue! ... | 1,647 | 1,676 | 1,670 | CONTRIBUTOR | null | **ISSUE TRANSFER: Optimum repository -> https://github.com/huggingface/optimum/issues/555**
This issue is about the working group specially created for this task. If you are interested in helping out, take a look at this [organization](https://huggingface.co/OWG), or add me on Discord: `ChainYo#3610`
We want to c... | {
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https://api.github.com/repos/huggingface/transformers/issues/16307 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16307/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16307/comments | https://api.github.com/repos/huggingface/transformers/issues/16307/events | https://github.com/huggingface/transformers/pull/16307 | 1,175,752,480 | PR_kwDOCUB6oc40wk8p | 16,307 | added type hints for blenderbot and blenderbot_small (v2) | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,647 | 1,662 | 1,647 | CONTRIBUTOR | null | # What does this PR do?
Added type hints for Blenderbot and BlenderbotSmall Tensorflow & PyTorch as described in https://github.com/huggingface/transformers/issues/16059
This new PR is a replacement for the [old one](https://github.com/huggingface/transformers/pull/16273) which has BART dependencies merge conflicts. ... | {
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https://api.github.com/repos/huggingface/transformers/issues/16306 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16306/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16306/comments | https://api.github.com/repos/huggingface/transformers/issues/16306/events | https://github.com/huggingface/transformers/pull/16306 | 1,175,750,043 | PR_kwDOCUB6oc40wka4 | 16,306 | Update Makefile Phonies | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,647 | 1,647 | 1,647 | CONTRIBUTOR | null | # What does this PR do?
This PR fixes vestiges of previously existing targets in the Makefile, and potentially adds missing entries as well.
Please let me know if any other recipes are to be added? My understanding is that we want to force the invokation of the recipe even if the file with same name exists, based o... | {
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https://api.github.com/repos/huggingface/transformers/issues/16305 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16305/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16305/comments | https://api.github.com/repos/huggingface/transformers/issues/16305/events | https://github.com/huggingface/transformers/pull/16305 | 1,175,696,615 | PR_kwDOCUB6oc40wZu5 | 16,305 | add xglm conversion script | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,647 | 1,647 | 1,647 | MEMBER | null | # What does this PR do?
Add conversion script for the XGLM model. | {
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https://api.github.com/repos/huggingface/transformers/issues/16304 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16304/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16304/comments | https://api.github.com/repos/huggingface/transformers/issues/16304/events | https://github.com/huggingface/transformers/issues/16304 | 1,175,628,773 | I_kwDOCUB6oc5GEqvl | 16,304 | Finetune Luke | {
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"Can you just run the given command without to proceed to any update in the script:\r\n```\r\nexport TASK_NAME=ner\r\n\r\npython run_luke_ner_no_trainer.py \\\r\n --model_name_or_path studio-ousia/luke-base \\\r\n --dataset_name conll2003 \\\r\n --task_name $TASK_NAME \\\r\n --max_length 128 \\\r\n --per_devi... | 1,647 | 1,662 | 1,651 | NONE | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `adapter-transformers` version: 2.3.0
- Platform: Linux-5.4.0-91-generic-x86_64-with-glibc2.10
- Python version: 3.8.3
- PyTorch ver... | {
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https://api.github.com/repos/huggingface/transformers/issues/16303 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16303/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16303/comments | https://api.github.com/repos/huggingface/transformers/issues/16303/events | https://github.com/huggingface/transformers/issues/16303 | 1,175,575,556 | I_kwDOCUB6oc5GEdwE | 16,303 | How to do mask prediction with ByT5? | {
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"Also we should probably change the ByT5 tokenizer configs: https://huggingface.co/google/byt5-small/blob/main/tokenizer_config.json as its at best very confusing to write that the token ids from 259 to 383 are sentinel tokens. This is just wrong no? There are no sentinel tokens and the last 124 tokens are just the... | 1,647 | 1,651 | 1,651 | MEMBER | null | # 🚀 Feature request
It is currently not very clear on how to do mask prediction using ByT5.
For T5, we, *e.g.* know that the first 100 sentinel tokens are used as masks, e.g. the following code snippet somewhat shows how `t5-base` does mask denoising:
```python
from transformers import T5Tokenizer, T5ForCondi... | {
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https://api.github.com/repos/huggingface/transformers/issues/16302 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16302/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16302/comments | https://api.github.com/repos/huggingface/transformers/issues/16302/events | https://github.com/huggingface/transformers/pull/16302 | 1,175,513,848 | PR_kwDOCUB6oc40vyyz | 16,302 | Feature Extractor: correctly pass **kwargs upon creation | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_16302). All of your documentation changes will be reflected on that endpoint.",
"Then it will only work on parameters that are not used at `__init__` time, I am not sure if this is what we want. Assume we check a parameter ... | 1,647 | 1,665 | 1,651 | CONTRIBUTOR | null | # What does this PR do?
This PR correctly passes over the `**kwargs` parameter to the feature extractor class upon creation in the `.from_dict` method | {
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https://api.github.com/repos/huggingface/transformers/issues/16301 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16301/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16301/comments | https://api.github.com/repos/huggingface/transformers/issues/16301/events | https://github.com/huggingface/transformers/pull/16301 | 1,175,511,928 | PR_kwDOCUB6oc40vyZF | 16,301 | fix last element in hidden_states for XGLM | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,647 | 1,651 | 1,647 | COLLABORATOR | null | # What does this PR do?
Same fix as in #16167 (where the last element in `hidden_states` is different between PT/Flax version.)
This was missed in the previous PR - because XGLM model test overwrites the common (more thorough) PT/Flax equivalence test.
This fix is tested with #16280 and passed ! | {
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https://api.github.com/repos/huggingface/transformers/issues/16300 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16300/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16300/comments | https://api.github.com/repos/huggingface/transformers/issues/16300/events | https://github.com/huggingface/transformers/pull/16300 | 1,175,496,328 | PR_kwDOCUB6oc40vvHu | 16,300 | Fix Marian conversion script | {
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"Trust you on this :-) ",
"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,647 | 1,647 | 1,647 | MEMBER | null | # What does this PR do?
Fixes the `Marian` conversion script to use the correct value for `activation_function` and also
set `tied-embeddings=True` when `tied-embeddings-all=True`
cc @tiedemann | {
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https://api.github.com/repos/huggingface/transformers/issues/16299 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16299/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16299/comments | https://api.github.com/repos/huggingface/transformers/issues/16299/events | https://github.com/huggingface/transformers/pull/16299 | 1,175,462,842 | PR_kwDOCUB6oc40voGV | 16,299 | Spanish translation of the file preprocessing.mdx | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"All good to me from the syntax point of view. Be careful though, as you PR files include the `training.mdx` so we can't know if there are small changes in it.",
"You're right, it was a mistake, It's just the preprocessing file",
... | 1,647 | 1,653 | 1,653 | CONTRIBUTOR | null | Hi, I made the translation of the **preprocessing.mdx** file to add it to the Spanish documentation (transformers/docs/source_es/).
I will be waiting for any correction, thanks.
@omarespejel @LysandreJik @sgugger | {
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https://api.github.com/repos/huggingface/transformers/issues/16298 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16298/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16298/comments | https://api.github.com/repos/huggingface/transformers/issues/16298/events | https://github.com/huggingface/transformers/pull/16298 | 1,175,407,026 | PR_kwDOCUB6oc40vcMd | 16,298 | [FlaxGPTJ] Fix bug in rotary embeddings | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"> Shouldn't the slow test have failed here?\r\n\r\nThe difference(s) - for hidden states - I got are in the range like of `1e-2`. Not sure if this will affect the outputs of slow test.\r\nI can run the slow tests to see what happen i... | 1,647 | 1,647 | 1,647 | MEMBER | null | # What does this PR do?
The rotary embeddings in `FlaxGPTJ` are computed in-correctly and they don't match with the PT version. This PR fixes `rotate_every_two` function to match with PT version.
Thanks a lot @ydshieh for finding this issue!
Fixes #16288 | {
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https://api.github.com/repos/huggingface/transformers/issues/16297 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16297/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16297/comments | https://api.github.com/repos/huggingface/transformers/issues/16297/events | https://github.com/huggingface/transformers/pull/16297 | 1,175,406,565 | PR_kwDOCUB6oc40vcF_ | 16,297 | Fix Bart type hints | {
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"Hi @gchhablani that is correct. We have just merged the BART PR, which has overwritten parts of `modeling_plbart.py`. Please check if any further changes are needed to `modeling_plbart.py` - if they are, you can either submit a new PR for them, or rebase this PR onto the updated main/master branch.",
"But also, ... | 1,647 | 1,648 | 1,648 | CONTRIBUTOR | null | # What does this PR do?
This PR adds type-hints to PLBart PyTorch.
A few queries:
1. What about the configuration files? Do they not need type-hinting?
2. I understand someone is working on the BART model: https://github.com/huggingface/transformers/pull/16270/files. There are some copies on there, can I wait f... | {
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https://api.github.com/repos/huggingface/transformers/issues/16296 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16296/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16296/comments | https://api.github.com/repos/huggingface/transformers/issues/16296/events | https://github.com/huggingface/transformers/pull/16296 | 1,175,340,500 | PR_kwDOCUB6oc40vN0P | 16,296 | Remove disclaimer from Longformer docs | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,647 | 1,647 | 1,647 | CONTRIBUTOR | null | # What does this PR do?
This PR removes disclaimer from the Longformer docs. Checked with @patil-suraj.
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
## Who can review?
Documentation: @sgugger
CC: @patil-suraj | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"The style checks are failing because `style_doc.py` check/fixing will undo the changes I made.\r\n\r\nI may be totally off here, but:\r\n\r\n1. Does this point to a potential issue in the `style_doc.py`? The `style_docstring` method ... | 1,647 | 1,647 | 1,647 | CONTRIBUTOR | null | # What does this PR do?
This PR fixes the Seq2SeqTrainingArguments docs. The current docs have a problem in rendering as shown in the image below:
.
Specifically, the parameters added in the sub-class a... | {
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This PR fixes the code samples for `ResNet` and `Van` | {
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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... | 1,647 | 1,650 | 1,650 | NONE | null | Some modification for calling Brainwave encoder library. | {
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"@patrickvonplaten I would like to start with Maskformer for Tensorflow/Pytorch. Catch up with how the event goes.",
"Awesome! Let me know if you have any questions :-)",
"Hello! I'd like to take on Longformer for Tensorflow/Pytorch please.",
"@patrickvonplaten I would like to start with T5 for pytorch and te... | 1,647 | 1,702 | null | MEMBER | null | ### This issue is part of our **Doc Test Sprint**. If you're interested in helping out come [join us on Discord](https://discord.gg/J8bW9u5abB) and talk with other contributors!
Docstring examples are often the first point of contact when trying out a new library! So far we haven't done a very good job at ensuring t... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Awesome, thanks @PolarisRisingWar! 🚀 "
] | 1,647 | 1,647 | 1,647 | CONTRIBUTOR | null | As mentioned: https://github.com/huggingface/transformers/issues/16277
# What does this PR do?
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,647 | 1,647 | 1,647 | MEMBER | null | # What does this PR do?
Fix a typo in `XGLMDecoderLayer`
Fixes: #16286 | {
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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... | 1,647 | 1,650 | 1,650 | MEMBER | null | Over the next 24 hours, we'll change the default branch from `master` to `main`.
We'll leverage GitHub's renaming utility which should take care of the entire migration and handle redirection when the previous branch name was erroneously entered.
This will not update local environments, where running the followin... | {
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"Thanks for reporting this, looking into it."
] | 1,647 | 1,647 | 1,647 | COLLABORATOR | null | ## Environment info
- `transformers` version: 4.18.0.dev0
- Platform: Linux-5.13.0-1019-gcp-x86_64-with-glibc2.31
- Python version: 3.9.7
- Huggingface_hub version: 0.4.0
- PyTorch version (GPU?): 1.10.2+cu102 (False)
- Tensorflow version (GPU?): 2.7.0 (False)
- Flax version (CPU?/GPU?/TPU?): 0.4.0 (cpu)
- Jax ... | {
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"cc @SaulLu ",
"Hi @AswiN-7,\r\n\r\nCould you tell me more about what you mean when you say \"How to change this encoding property??\". :blush: \r\n\r\nI would like to comment on your impression that the tokens produced by BPE are showing like junks. This type of output is indeed surprising but well expected by a... | 1,647 | 1,651 | 1,651 | NONE | null | hi im trying to create a new transformer for tamil language
dataset is downloaded from oscar-corpus
from tokenizers import ByteLevelBPETokenizer
tokenizer = ByteLevelBPETokenizer()
tokenizer.train(files = path, vocab_size = 200000, min_frequency = 2, special_tokens=['<s>', '<pad>', '</s>', '... | {
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https://api.github.com/repos/huggingface/transformers/issues/16286 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16286/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16286/comments | https://api.github.com/repos/huggingface/transformers/issues/16286/events | https://github.com/huggingface/transformers/issues/16286 | 1,175,173,122 | I_kwDOCUB6oc5GC7gC | 16,286 | `self.encoder_attn` not defined for PyTorch XGLM | {
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"Good catch! Should be fixed in https://github.com/huggingface/transformers/pull/16290"
] | 1,647 | 1,647 | 1,647 | CONTRIBUTOR | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: 4.17.0
- Platform: Ubuntu
- Python version: 3.7
- PyTorch version (GPU?): 1.10.0+cu111
- Tensorflow version... | {
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https://api.github.com/repos/huggingface/transformers/issues/16285 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16285/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16285/comments | https://api.github.com/repos/huggingface/transformers/issues/16285/events | https://github.com/huggingface/transformers/pull/16285 | 1,175,069,971 | PR_kwDOCUB6oc40uT2- | 16,285 | [SegFormer] Remove unused attributes | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,647 | 1,647 | 1,647 | CONTRIBUTOR | null | # What does this PR do?
This PR removes the unused attributes `image_size` and `downsampling_rates` from the configuration. As they simply aren't used by the model, this is not a breaking change.
It also adds a link to the blog post in SegFormer's docs, and clarifies that the model works on any input size as it p... | {
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https://api.github.com/repos/huggingface/transformers/issues/16284 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16284/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16284/comments | https://api.github.com/repos/huggingface/transformers/issues/16284/events | https://github.com/huggingface/transformers/pull/16284 | 1,175,055,662 | PR_kwDOCUB6oc40uQ4v | 16,284 | Add argument "cache_dir" for transformers.onnx | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Looking at the CI, it seems you need to format your files @happyXia - can you please run:\r\n\r\n```\r\nmake style && make quality\r\n```\r\n\r\nand commit / push the formatted files?",
"> Looking at the CI, it seems you need to fo... | 1,647 | 1,647 | 1,647 | CONTRIBUTOR | null | # What does this PR do?
Add argument "cache_dir" for transformer.onnx ,to enables the user to select the cache path when exporting large ONNX model. Because the default cache directory may run out of space.
<!-- Your PR will be replied to more quickly if you can figure out the right person to tag with @
I... | {
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https://api.github.com/repos/huggingface/transformers/issues/16283 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16283/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16283/comments | https://api.github.com/repos/huggingface/transformers/issues/16283/events | https://github.com/huggingface/transformers/issues/16283 | 1,174,845,967 | I_kwDOCUB6oc5GBroP | 16,283 | Weights of lm_head and input embedding are not tied in google/mt5-base | {
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"Hey @z-bookworm,\r\n\r\nYes this should be correct. As MT5 is built upon T5v1.1: https://github.com/google-research/text-to-text-transfer-transformer/blob/main/released_checkpoints.md#t511 the input and output embeddings should not be tied as you can read upon in the link",
"@patrickvonplaten Thanks for the refe... | 1,647 | 1,647 | 1,647 | NONE | null | ## Environment info
- `transformers` version: 4.16.2
- Python version: 3.7.11
- PyTorch version (GPU?): 1.10.1 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not installed
- JaxLib version: not installed
- Using GPU in script?: <fill i... | {
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https://api.github.com/repos/huggingface/transformers/issues/16282 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16282/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16282/comments | https://api.github.com/repos/huggingface/transformers/issues/16282/events | https://github.com/huggingface/transformers/issues/16282 | 1,174,670,458 | I_kwDOCUB6oc5GBAx6 | 16,282 | ONNX export results for hidden states/attentions are incorrect if enabled | {
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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... | 1,647 | 1,653 | 1,653 | NONE | null | ONNX export results for hidden states/attentions are incorrect if enabled (e.g. via `config.output_attentions = True` and `config.output_hidden_states = True` before loading the model). This is likely due to the returning-tuples nature of the corresponding `forward` functions which ONNX may not be able to trace correct... | {
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https://api.github.com/repos/huggingface/transformers/issues/16281 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16281/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16281/comments | https://api.github.com/repos/huggingface/transformers/issues/16281/events | https://github.com/huggingface/transformers/pull/16281 | 1,174,614,848 | PR_kwDOCUB6oc40tAjG | 16,281 | Adding missing type hints for mBART model (TF) | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_16281). All of your documentation changes will be reflected on that endpoint."
] | 1,647 | 1,648 | 1,648 | CONTRIBUTOR | null | Tensorflow Implementation model added with missing type hints
# What does this PR do?
Added type hints for mBART Tensorflow as described in https://github.com/huggingface/transformers/issues/16059
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that'... | {
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https://api.github.com/repos/huggingface/transformers/issues/16280 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16280/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16280/comments | https://api.github.com/repos/huggingface/transformers/issues/16280/events | https://github.com/huggingface/transformers/pull/16280 | 1,174,554,271 | PR_kwDOCUB6oc40s3fo | 16,280 | Update pt flax equivalence tests in pt | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"For `BigBird` model test failure, please see #16310. \r\n",
"Good for me to merge then here as everybody else seems to agree with the PR.\r\n\r\nI do like the argument that centralized tests enforce the same API which is very impor... | 1,647 | 1,648 | 1,648 | COLLABORATOR | null | # What does this PR do?
Update the PT/Flax equivalence in PT common test script.
This PR should be merged after #16298 and #16301 (then the test should be all green).
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https://api.github.com/repos/huggingface/transformers/issues/16279 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16279/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16279/comments | https://api.github.com/repos/huggingface/transformers/issues/16279/events | https://github.com/huggingface/transformers/pull/16279 | 1,174,495,358 | PR_kwDOCUB6oc40suii | 16,279 | Add Flaubert OnnxConfig to Transformers | {
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"> Thanks a lot for adding support for this model @ChainYo!\r\n> \r\n> It looks like the CI tests are failing because `FlaubertOnnxConfig` cannot be imported. This is a bit weird because the implementation looks OK, but can you check that the slow tests pass locally with:\r\n> \r\n> ```\r\n> RUN_SLOW=1 python -m py... | 1,647 | 1,648 | 1,647 | CONTRIBUTOR | null | # What does this PR do?
Add Flaubert OnnxConfig to make this model available for conversion.
## Who can review?
Models:
- albert, bert, xlm: @LysandreJik | {
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https://api.github.com/repos/huggingface/transformers/issues/16278 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16278/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16278/comments | https://api.github.com/repos/huggingface/transformers/issues/16278/events | https://github.com/huggingface/transformers/issues/16278 | 1,174,483,681 | I_kwDOCUB6oc5GATLh | 16,278 | Connection error, when I run a service in a docker image, which is offline | {
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<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version:
- Platform:
- Python version:
- PyTorch version (GPU?):
- Tensorflow version (GPU?):
- Using GPU in script... | {
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https://api.github.com/repos/huggingface/transformers/issues/16277 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16277/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16277/comments | https://api.github.com/repos/huggingface/transformers/issues/16277/events | https://github.com/huggingface/transformers/issues/16277 | 1,174,470,339 | I_kwDOCUB6oc5GAP7D | 16,277 | Typo: Missing a coma in document | {
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"Thank you for flagging this typo 👍 Would you like to open a PR with the fix, @PolarisRisingWar? (source file [here](https://github.com/huggingface/transformers/blob/master/docs/source/task_summary.mdx)) \r\n\r\nIf not, I can take care of it :)"
] | 1,647 | 1,647 | 1,647 | CONTRIBUTOR | null | In `https://huggingface.co/docs/transformers/master/en/task_summary#extractive-question-answering`, this sentence:
Should it be `model-specific separators, token type ids and attention masks`? | {
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https://api.github.com/repos/huggingface/transformers/issues/16276 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16276/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16276/comments | https://api.github.com/repos/huggingface/transformers/issues/16276/events | https://github.com/huggingface/transformers/issues/16276 | 1,174,440,093 | I_kwDOCUB6oc5GAIid | 16,276 | Freezing layers does not work with torch.utils.checkpoint | {
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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... | 1,647 | 1,651 | 1,651 | NONE | null | Hi,
I am using BERT with `pytorch_transformers V1.1.0`. In this version, gradients checkpointing was not implemented, so I do it by myself simply by replacing `layer_outputs = layer_module(hidden_states, attention_mask, head_mask[i])` with `layer_outputs = checkpoint(layer_module, hidden_states, attention_mask, head... | {
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https://api.github.com/repos/huggingface/transformers/issues/16275 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16275/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16275/comments | https://api.github.com/repos/huggingface/transformers/issues/16275/events | https://github.com/huggingface/transformers/pull/16275 | 1,174,406,286 | PR_kwDOCUB6oc40seHw | 16,275 | Adding type hints & decorator for TFT5 | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_16275). All of your documentation changes will be reflected on that endpoint.",
"Hi @Dahlbomii, thanks for this PR! It looks good, and thanks for doing both the type hinting and decorator change in the same PR. There's one ... | 1,647 | 1,648 | 1,648 | CONTRIBUTOR | null | @Rocketknight1 | {
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https://api.github.com/repos/huggingface/transformers/issues/16274 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16274/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16274/comments | https://api.github.com/repos/huggingface/transformers/issues/16274/events | https://github.com/huggingface/transformers/pull/16274 | 1,174,346,316 | PR_kwDOCUB6oc40sWBo | 16,274 | add GPT-J ONNX config to Transformers | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"So what is the next step to make it merged ?",
"Hey @ChainYo the last thing to check is that the slow tests pass with:\r\n\r\n```\r\nRUN_SLOW=1 python -m pytest tests/onnx/test_onnx_v2.py -k \"gpt-j\"\r\n```\r\n\r\nWe only run thes... | 1,647 | 1,648 | 1,648 | CONTRIBUTOR | null | # What does this PR do?
I'm looking for contributing to `Transformers` repository by adding more OnnxConfig to available models on the hub.
I have created a little organization [ONNXConfig for all](https://huggingface.co/OWG) to track the models that needs support for ONNX.
This is the first contribution since C... | {
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https://api.github.com/repos/huggingface/transformers/issues/16273 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16273/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16273/comments | https://api.github.com/repos/huggingface/transformers/issues/16273/events | https://github.com/huggingface/transformers/pull/16273 | 1,174,337,380 | PR_kwDOCUB6oc40sUXL | 16,273 | added type hints for Blenderbot and BlenderbotSmall (TF & PyTorch) | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_16273). All of your documentation changes will be reflected on that endpoint.",
"Hi @IvanLauLinTiong, we actually just merged a BART PR that covers the same changes! It's probably easiest if you take a look at the most rece... | 1,647 | 1,662 | 1,647 | CONTRIBUTOR | null | # What does this PR do?
Added type hints for Blenderbot and BlenderbotSmall Tensorflow & PyTorch as described in https://github.com/huggingface/transformers/issues/16059
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https://api.github.com/repos/huggingface/transformers/issues/16272 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16272/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16272/comments | https://api.github.com/repos/huggingface/transformers/issues/16272/events | https://github.com/huggingface/transformers/pull/16272 | 1,174,305,818 | PR_kwDOCUB6oc40sOcX | 16,272 | Add type hints for ProphetNet PyTorch | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@Rocketknight1 "
] | 1,647 | 1,647 | 1,647 | CONTRIBUTOR | null | Adding type hints for forward methods in user-facing class for ProphetNet model (PyTorch) as mentioned in #16059
@Rocketknight1 | {
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https://api.github.com/repos/huggingface/transformers/issues/16271 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16271/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16271/comments | https://api.github.com/repos/huggingface/transformers/issues/16271/events | https://github.com/huggingface/transformers/pull/16271 | 1,174,282,147 | PR_kwDOCUB6oc40sKHw | 16,271 | Fix missing output_attentions in PT/Flax equivalence test | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_16271). All of your documentation changes will be reflected on that endpoint.",
"Think this (quite small) PR is ready. Nothing particular but adding the missing `config.output_attentions = self.has_attentions`.\r\nThe `supe... | 1,647 | 1,648 | 1,648 | COLLABORATOR | null | # What does this PR do?
In a previous PR #15841, `output_attentions` was not set (I accidentally removed the whole block containing it).
This PR sets `output_attentions` to make the test more thorough.
The test still runs successfully with `1e-5` on both CPU/GPU. However, see the 2nd points in the remarks below... | {
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https://api.github.com/repos/huggingface/transformers/issues/16270 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16270/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16270/comments | https://api.github.com/repos/huggingface/transformers/issues/16270/events | https://github.com/huggingface/transformers/pull/16270 | 1,174,260,414 | PR_kwDOCUB6oc40sGOj | 16,270 | added type hints for BART model | {
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"@Rocketknight1 here is the PR which i've created since i am on Windows so i didnt run ``make fixup`` command",
"Hi @robotjellyzone, thanks for the PR! I see a lot of tests failing but I think that's our fault, not yours. Let me try running `make fixup` and then rerun them, and hopefully it all passes",
"_The d... | 1,647 | 1,650 | 1,647 | CONTRIBUTOR | null | # What does this PR do?
I have added type hints for BART model (both in PyTorch and Tensorflow) as described in #16059
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https://api.github.com/repos/huggingface/transformers/issues/16269 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16269/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16269/comments | https://api.github.com/repos/huggingface/transformers/issues/16269/events | https://github.com/huggingface/transformers/issues/16269 | 1,174,239,032 | I_kwDOCUB6oc5F_Xc4 | 16,269 | TypeError loading tokenizer for gpssohi/distilbart-qgen-6-6 | {
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"Hello! Was this a temporary error? Running your code sample seems to work for me:\r\n\r\n```\r\nIn [1]: from transformers import AutoTokenizer, AutoModelForSeq2SeqLM\r\n ...:\r\n ...: tokenizer = AutoTokenizer.from_pretrained(\"gpssohi/distilbart-qgen-6-6\")\r\nDownloading: 100%|███████████████████████████████... | 1,647 | 1,647 | 1,647 | NONE | null | Attempting to create a summary pipeline using "gpssohi/distilbart-qgen-6-6" as I get the message:
```
OSError: Can't load config for 'gpssohi/distilbart-qgen-6-6'. Make sure that:
- 'gpssohi/distilbart-qgen-6-6' is a correct model identifier listed on 'https://huggingface.co/models'
- or 'gpssohi/distilbart-qgen-... | {
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https://api.github.com/repos/huggingface/transformers/issues/16268 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16268/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16268/comments | https://api.github.com/repos/huggingface/transformers/issues/16268/events | https://github.com/huggingface/transformers/issues/16268 | 1,174,235,772 | I_kwDOCUB6oc5F_Wp8 | 16,268 | RuntimeError opening google/pegasus-xsum | {
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"This appears to be a version issue. I upgraded transformers to 4.1.0 to address another model issue and this now loads.l"
] | 1,647 | 1,647 | 1,647 | NONE | null | I get the error:
```
Traceback (most recent call last):
File “/usr/local/lib/python3.6/site-packages/IPython/core/interactiveshell.py”, line 3343, in run_code
exec(code_obj, self.user_global_ns, self.user_ns)
File “”, line 3, in
model=“google/pegasus-large”)
File “/usr/local/lib/python3.6/site-packages/transfo... | {
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https://api.github.com/repos/huggingface/transformers/issues/16267 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16267/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16267/comments | https://api.github.com/repos/huggingface/transformers/issues/16267/events | https://github.com/huggingface/transformers/pull/16267 | 1,174,218,530 | PR_kwDOCUB6oc40r-gP | 16,267 | Add type hints transfoxl | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,647 | 1,647 | 1,647 | CONTRIBUTOR | null | # What does this PR do?
Adds type annotations for transfo_xl models as per https://github.com/huggingface/transformers/issues/16059
@Rocketknight1 | {
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] | 1,647 | 1,647 | 1,647 | CONTRIBUTOR | null | Removed the 'optional' string (in DETR post_process) #15769 @sgugger @NielsRogge | {
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"Hello, glad to find you start to add `OFA` to `transformers` :tada:. I'm a member of [OFA-sys](https://github.com/OFA-Sys/OFA). If you encounter any difficulties or need any materials, please feel free to contact me. We are willing to do anything that helps.",
"will OFA be added to transformers models soon?",
... | 1,647 | 1,654 | 1,654 | CONTRIBUTOR | null | # What does this PR do?
This PR adds OFA to transformers.
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"_The documentation is not available anymore as the PR was closed or merged._",
"> also, the modules I have created could also go in the utils subfolder instead of the root subfolder (and be named .utils.doc, .utils.hub, .utils.generic and .utils.import for instance), still with keeping BC.\r\n\r\nRelated questio... | 1,647 | 1,648 | 1,648 | COLLABORATOR | null | # What does this PR do?
This PR reorganizes the gigantic `file_utils` in several submodules, namely:
- `doc_utils` contain all the decorators we use for our docstrings as well as the generic examples
- `file_utils` keep all Hub-related functionality (it might warrant a rename to `hub_utils` see below)
- `generic_... | {
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