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https://api.github.com/repos/huggingface/transformers/issues/21286 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21286/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21286/comments | https://api.github.com/repos/huggingface/transformers/issues/21286/events | https://github.com/huggingface/transformers/issues/21286 | 1,555,436,734 | I_kwDOCUB6oc5cthS- | 21,286 | Add metric_key_prefix from training_args | {
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"cc @sgugger ",
"This seems like a very niche feature which can be achieved by customizing your callback (you can use your own instead of the default ones).",
"@sgugger could you elaborate a bit more about what callback(s)? I guess I have to remove one and add mine?\r\n\r\n(oh sorry, I just found https://huggin... | 1,674 | 1,674 | 1,674 | NONE | null | ### Feature request
Today, if we create a `Trainer` as in
```
trainer = Trainer(
model=self.model, # the instantiated 🤗 Transformers model to be trained
args=training_args, # training arguments, defined above
train_dataset=data_cls["train"],
eval_dataset=data_cl... | {
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https://api.github.com/repos/huggingface/transformers/issues/21285 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21285/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21285/comments | https://api.github.com/repos/huggingface/transformers/issues/21285/events | https://github.com/huggingface/transformers/issues/21285 | 1,555,435,363 | I_kwDOCUB6oc5ctg9j | 21,285 | `trainer.predict(dataset)` drops samples when used with multi-gpu setup | {
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"The model used in this notebook (`Roberta0`) does not follow the requirements of the `Trainer` as described [here](https://huggingface.co/docs/transformers/main_classes/trainer) (see the big square in red). The output of the model should be a tuple, a dictionary or a `ModelOutput`, but it can't be a simple tensor.... | 1,674 | 1,674 | 1,674 | MEMBER | null | ### System Info
- `transformers` version: 4.26.0.dev0
- Platform: Linux-4.19.0-23-cloud-amd64-x86_64-with-glibc2.28
- Python version: 3.9.13
- Huggingface_hub version: 0.10.1
- PyTorch version (GPU?): 1.11.0+cu113 (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/21284 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21284/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21284/comments | https://api.github.com/repos/huggingface/transformers/issues/21284/events | https://github.com/huggingface/transformers/pull/21284 | 1,555,399,724 | PR_kwDOCUB6oc5IcqkA | 21,284 | Update expected values for doctest | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,674 | 1,674 | 1,674 | MEMBER | null | Manually update expected values from hardware/environment differences for doctest on `task_summary.mdx`. | {
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https://api.github.com/repos/huggingface/transformers/issues/21283 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21283/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21283/comments | https://api.github.com/repos/huggingface/transformers/issues/21283/events | https://github.com/huggingface/transformers/pull/21283 | 1,555,357,611 | PR_kwDOCUB6oc5IchpB | 21,283 | [examples/deepspeed] fix renamed api | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,674 | 1,674 | 1,674 | CONTRIBUTOR | null | Fixing the breakages caused by https://github.com/huggingface/transformers/pull/21155
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https://api.github.com/repos/huggingface/transformers/issues/21282 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21282/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21282/comments | https://api.github.com/repos/huggingface/transformers/issues/21282/events | https://github.com/huggingface/transformers/pull/21282 | 1,555,328,275 | PR_kwDOCUB6oc5Icbb3 | 21,282 | [GIT] Add test for batched generation | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Failing test is unrelated, merging."
] | 1,674 | 1,674 | 1,674 | CONTRIBUTOR | null | # What does this PR do?
Related to #21087, I've added a test for batched generation with GIT. | {
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https://api.github.com/repos/huggingface/transformers/issues/21281 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21281/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21281/comments | https://api.github.com/repos/huggingface/transformers/issues/21281/events | https://github.com/huggingface/transformers/pull/21281 | 1,555,319,213 | PR_kwDOCUB6oc5IcZhl | 21,281 | [`t5`] Fix T5 inference in `float16` + `bnb` error | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,674 | 1,674 | 1,674 | CONTRIBUTOR | null | # What does this PR do?
Currently on the `main` branch, the inference of `t5` is broken in half-precision.
With the introduction of `_keep_in_fp32_modules` attributes in https://github.com/huggingface/transformers/pull/20683 , `wo` layers needs to be upcasted in `float32` for more accurate inference.
It appears ... | {
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https://api.github.com/repos/huggingface/transformers/issues/21280 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21280/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21280/comments | https://api.github.com/repos/huggingface/transformers/issues/21280/events | https://github.com/huggingface/transformers/issues/21280 | 1,555,023,156 | I_kwDOCUB6oc5cr8U0 | 21,280 | Does "kwargs" actually work in from_pretrained of Tokenizer? | {
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Colab
transformers==4.25.1
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [x] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or dataset (give details... | {
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https://api.github.com/repos/huggingface/transformers/issues/21279 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21279/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21279/comments | https://api.github.com/repos/huggingface/transformers/issues/21279/events | https://github.com/huggingface/transformers/issues/21279 | 1,555,011,862 | I_kwDOCUB6oc5cr5kW | 21,279 | How to use pre-trained BERT or GPT transformers for CNN based video captioning | {
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"Hi,\r\n\r\nI'd recommend checking out the [GIT](https://huggingface.co/docs/transformers/main/en/model_doc/git) model which was just added to the library, as it's the first one in this library that can be used for video captioning. Check out the demo notebook [here](https://github.com/NielsRogge/Transformers-Tutor... | 1,674 | 1,674 | 1,674 | NONE | null | Hello, How to use pre-trained BERT or GPT transformers for video captioning task using CNN features not vision transformer | {
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https://api.github.com/repos/huggingface/transformers/issues/21278 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21278/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21278/comments | https://api.github.com/repos/huggingface/transformers/issues/21278/events | https://github.com/huggingface/transformers/pull/21278 | 1,554,887,303 | PR_kwDOCUB6oc5Ia8Ql | 21,278 | Hotifx remove tuple for git config image processor. | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Just a question, for [this model](https://huggingface.co/microsoft/git-base-vatex), which uses `VideoMAEImageProcessor`, will the following then always instantiate a `CLIPImageProcessor`?\r\n```\r\nfrom transformers import AutoProces... | 1,674 | 1,674 | 1,674 | 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 with a d... | {
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https://api.github.com/repos/huggingface/transformers/issues/21277 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21277/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21277/comments | https://api.github.com/repos/huggingface/transformers/issues/21277/events | https://github.com/huggingface/transformers/pull/21277 | 1,554,658,515 | PR_kwDOCUB6oc5IaKoF | 21,277 | [W2V2 with LM] Fix decoder test with params | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Indeed the var names are a bit confusing @ydshieh! They follow the same convention throughout the test file, where `decoded_processor` refers to the LM outputs decoded by the HF **processor** class, and `decoded_decoder` refers to th... | 1,674 | 1,687 | 1,674 | CONTRIBUTOR | null | # What does this PR do?
Fixes https://github.com/huggingface/transformers/pull/21226. This test started failing due to a PyPI update of pyctcdecode, which incorporated a number of bug fixes to the LM decode method (see https://github.com/kensho-technologies/pyctcdecode/issues/107#issuecomment-1400757049).
This P... | {
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https://api.github.com/repos/huggingface/transformers/issues/21276 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21276/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21276/comments | https://api.github.com/repos/huggingface/transformers/issues/21276/events | https://github.com/huggingface/transformers/pull/21276 | 1,554,609,888 | PR_kwDOCUB6oc5IaAPt | 21,276 | [Doc] fix broken link | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,674 | 1,674 | 1,674 | CONTRIBUTOR | null | Fixes https://github.com/huggingface/transformers/issues/21275
I can confirm the link at least works in https://moon-ci-docs.huggingface.co/docs/transformers/pr_21276/en/main_classes/text_generation
cc @ydshieh 💯
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"will move this to `transformers`",
"Thanks for noticing! should be addressed in #21276"
] | 1,674 | 1,674 | 1,674 | COLLABORATOR | null | I'm not sure if this is the right place to notify such issues.
On [this page](https://huggingface.co/docs/transformers/main_classes/text_generation) the link in the second paragraph to "text generation strategies guide" does not work. It should point to: https://huggingface.co/docs/transformers/main/generation_strat... | {
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https://api.github.com/repos/huggingface/transformers/issues/21274 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21274/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21274/comments | https://api.github.com/repos/huggingface/transformers/issues/21274/events | https://github.com/huggingface/transformers/issues/21274 | 1,554,347,163 | I_kwDOCUB6oc5cpXSb | 21,274 | Output `past_key_values` from `TextGenerationPipeline`. | {
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"That's interesting, the current pipeline does not support chunking indeed. However, I think adding this would not be really hard cc @Narsil, would go in the `generate_kwargs`, only issue is that it is not going out. ",
"That would be nice, but requires pretty much changing `generate` upside down and inside out.\... | 1,674 | 1,677 | 1,677 | NONE | null | ### Feature request
Currently, `TextGenerationPipeline` does not allow users to extract the `past_key_values` object from its output. It would be nice for us to be able to do so, so that we could then stream the intermediate text in chunks, whilst not having to recalculate the `past_key_values` after every time we yie... | {
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https://api.github.com/repos/huggingface/transformers/issues/21273 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21273/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21273/comments | https://api.github.com/repos/huggingface/transformers/issues/21273/events | https://github.com/huggingface/transformers/pull/21273 | 1,554,198,632 | PR_kwDOCUB6oc5IYo8t | 21,273 | Use `logger.info` instead of `print` to emit a logging message in `hub.py` | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,674 | 1,674 | 1,674 | CONTRIBUTOR | null | # What does this PR do?
I found a line that uses the `print` method to emit a logging message in `transformers/utils/hub.py`. When I was developing a CLI app that outputs results in a specific format to stdout, this line emitted a logging message to stdout, resulting in an error. This PR fixes the line to use the `l... | {
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https://api.github.com/repos/huggingface/transformers/issues/21272 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21272/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21272/comments | https://api.github.com/repos/huggingface/transformers/issues/21272/events | https://github.com/huggingface/transformers/issues/21272 | 1,553,853,569 | I_kwDOCUB6oc5cneyB | 21,272 | Poor CPU Inference Scalability Possibly Due to Disk IO | {
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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... | 1,674 | 1,677 | 1,677 | NONE | null | ### System Info
Environment:
Python: 3.10.8
Pytorch: 1.12.1
Transformers: 4.24.0
Model Used: cardiffnlp/twitter-roberta-base-sentiment
Tests Performed:
I created a simple docker image based on this [github repo](https://github.com/jrsperry/transformers-sentiment-test) which would make predictions on sent... | {
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https://api.github.com/repos/huggingface/transformers/issues/21271 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21271/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21271/comments | https://api.github.com/repos/huggingface/transformers/issues/21271/events | https://github.com/huggingface/transformers/issues/21271 | 1,553,850,489 | I_kwDOCUB6oc5cneB5 | 21,271 | issue warning about different batch size being used for --resume_from_checkpoint | {
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"The examples presented in this repo are not feature-complete apps with ironclad error messages, but just that... examples. We keep them with as little code as possible so they can be easily understood and customized. That's why they won't contain warnings for everything that could go wrong.",
"OK, so this turns ... | 1,674 | 1,678 | 1,678 | NONE | null | ### Feature request
According to #7198 pretraining must always use the same batch size:
> [15 Dec 21]
> [bowen-n] When I resume training from a checkpoint, I use a new batch size different from the previous training and it seems that the number of the skipped epoch is wrong.
> ...
> [sgugger] That feature is n... | {
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https://api.github.com/repos/huggingface/transformers/issues/21270 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21270/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21270/comments | https://api.github.com/repos/huggingface/transformers/issues/21270/events | https://github.com/huggingface/transformers/pull/21270 | 1,553,800,669 | PR_kwDOCUB6oc5IXTqA | 21,270 | Adding resource section to GPT-J docs | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Hello,\r\n\r\nI have been currently working on finding resources for GPT-J, and mainly I have been using the links mentioned in #20055 and searching GPT-J in each of the links. I found a few links, but I feel this is not the best way... | 1,674 | 1,675 | 1,675 | CONTRIBUTOR | null | # What does this PR do?
Adds resources section to the GPT-J documents.
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Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awe... | {
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https://api.github.com/repos/huggingface/transformers/issues/21269 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21269/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21269/comments | https://api.github.com/repos/huggingface/transformers/issues/21269/events | https://github.com/huggingface/transformers/pull/21269 | 1,553,792,823 | PR_kwDOCUB6oc5IXR4k | 21,269 | [GenerationConfig] add additional kwargs handling | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Also will have to add test + this is apparently breaking a lot of things haha ",
"Okay, after talking a bit with @gante and testing, this is not the best, this PR will focus on other missing functionalities. Mostly addition of the ... | 1,674 | 1,674 | 1,674 | COLLABORATOR | null | # What does this PR do?
This add the same support that we have in the `PretrainedConfig`, where additional kwargs are automaticallu updated.
This will allow users to re-use the `GenerationConfig` class for most of the use_cases, whithout having to add a model specific class. I was trying to load [the following `gene... | {
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https://api.github.com/repos/huggingface/transformers/issues/21268 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21268/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21268/comments | https://api.github.com/repos/huggingface/transformers/issues/21268/events | https://github.com/huggingface/transformers/pull/21268 | 1,553,566,677 | PR_kwDOCUB6oc5IWfjq | 21,268 | Supported pipeline tasks update | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,674 | 1,674 | 1,674 | CONTRIBUTOR | null | The docstring of the `transformers.pipeline` listed only 16 supported tasks while `SUPPORTED_TASKS` contains 24 tasks. This PR adds the missing tasks to the docstrings so that the generated reference docs accurately list all of the supported tasks here - https://huggingface.co/docs/transformers/main/en/main_classes/pip... | {
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https://api.github.com/repos/huggingface/transformers/issues/21267 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21267/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21267/comments | https://api.github.com/repos/huggingface/transformers/issues/21267/events | https://github.com/huggingface/transformers/pull/21267 | 1,553,537,042 | PR_kwDOCUB6oc5IWZFk | 21,267 | Remove CLI spams with Whisper FeatureExtractor | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Hey, thanks for the contribution! I agree with you, wee should not save the filters as they just depend on the parameters with which they were created, which is why I would be in favor of simply adding the following : \r\n\r\n```pyth... | 1,674 | 1,676 | 1,676 | CONTRIBUTOR | null | # What does this PR do?
Whisper feature extractor representation includes the MEL filters, a list of list that is represented as ~16,000 lines. This needlessly spams the command line. I added a `__repr__` method that replaces this list with a string `<array of shape (80, 201)>`
## Who can review?
Anyone in the... | {
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https://api.github.com/repos/huggingface/transformers/issues/21266 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21266/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21266/comments | https://api.github.com/repos/huggingface/transformers/issues/21266/events | https://github.com/huggingface/transformers/pull/21266 | 1,553,478,494 | PR_kwDOCUB6oc5IWMkj | 21,266 | Use return_tensors="np" instead of "tf" | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,674 | 1,674 | 1,674 | MEMBER | null | This PR is doing exactly the same thing as the [notebooks PR here](https://github.com/huggingface/notebooks/pull/308).
In our TF examples, we use return_tensors="tf" for the data collators. However, `prepare_tf_dataset` and `to_tf_dataset` actually use a NumPy loader internally, which we wrap with a `tf.data.Dataset... | {
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https://api.github.com/repos/huggingface/transformers/issues/21265 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21265/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21265/comments | https://api.github.com/repos/huggingface/transformers/issues/21265/events | https://github.com/huggingface/transformers/pull/21265 | 1,553,349,589 | PR_kwDOCUB6oc5IVwvD | 21,265 | Notebook examples grouping and update | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,674 | 1,674 | 1,674 | CONTRIBUTOR | null | This PR groups the notebook examples on [this page](https://huggingface.co/docs/transformers/main/en/notebooks) by modality for easier navigation. It also adds a few notebooks from the official repo that were not previously listed, e.g. fine-tuning models for image classification, semantic segmentation, video classific... | {
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https://api.github.com/repos/huggingface/transformers/issues/21264 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21264/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21264/comments | https://api.github.com/repos/huggingface/transformers/issues/21264/events | https://github.com/huggingface/transformers/pull/21264 | 1,553,303,293 | PR_kwDOCUB6oc5IVm8A | 21,264 | Generate: save generation config with the models' `.save_pretrained()` | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,674 | 1,674 | 1,674 | MEMBER | null | # What does this PR do?
As originally discussed in #20388, this PR makes `model.save_pretrained()` also call `model.generation_config.save_pretrained()` if it is a generation-capable model (on all 3 frameworks).
It also adds a bunch of tests, namely:
- tests whether the generation config can be pushed to the hub... | {
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https://api.github.com/repos/huggingface/transformers/issues/21263 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21263/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21263/comments | https://api.github.com/repos/huggingface/transformers/issues/21263/events | https://github.com/huggingface/transformers/pull/21263 | 1,553,301,588 | PR_kwDOCUB6oc5IVmlF | 21,263 | [Whisper] Add rescaling function with `do_normalize` | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"The test works locally, merging 😉 "
] | 1,674 | 1,677 | 1,677 | COLLABORATOR | null | # What does this PR do?
Fixes #19888, by allowing the user to `normalise` the input audio before computing the MEL spectrogra,. | {
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https://api.github.com/repos/huggingface/transformers/issues/21262 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21262/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21262/comments | https://api.github.com/repos/huggingface/transformers/issues/21262/events | https://github.com/huggingface/transformers/issues/21262 | 1,553,203,083 | I_kwDOCUB6oc5ck_-L | 21,262 | [Whisper] ASR Pipeline with "return_timestamps=True" gives IndexError: index -1 is out of bounds for axis 0 with size 0 | {
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"Thanks, this is normal and is currently being fixed 😉 see #21252 ",
"I have also the same problem, how you fixed this problem ? ",
"@avishai119 Are you running on `transformers@main` ? It should be fixed there.",
"what you mean ?\r\nthis is my code:\r\n\r\n`\r\nfrom transformers import AutoProcessor, pipe... | 1,674 | 1,675 | 1,674 | NONE | null | ### System Info
- `transformers` version: 4.26.0.dev0
- Platform: Linux-5.10.147+-x86_64-with-glibc2.29
- Python version: 3.8.10
- Huggingface_hub version: 0.11.1
- PyTorch version (GPU?): 1.13.1+cu116 (True)
- Tensorflow version (GPU?): 2.9.2 (True)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax v... | {
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https://api.github.com/repos/huggingface/transformers/issues/21261 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21261/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21261/comments | https://api.github.com/repos/huggingface/transformers/issues/21261/events | https://github.com/huggingface/transformers/issues/21261 | 1,553,133,333 | I_kwDOCUB6oc5cku8V | 21,261 | installation.mdx. | {
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https://api.github.com/repos/huggingface/transformers/issues/21260 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21260/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21260/comments | https://api.github.com/repos/huggingface/transformers/issues/21260/events | https://github.com/huggingface/transformers/pull/21260 | 1,553,125,653 | PR_kwDOCUB6oc5IVBlJ | 21,260 | Update TF doc test template | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Closed as changes are a subset of changes introduced in #21225 "
] | 1,674 | 1,674 | 1,674 | COLLABORATOR | null | # What does this PR do?
The PR #21106 introduced failures in some doctests:
* src/transformers/models/deit/modeling_tf_deit.py::transformers.models.deit.modeling_tf_deit.TFDeiTForImageClassificationWithTeacher.call
* src/transformers/models/resnet/modeling_tf_resnet.py::transformers.models.resnet.modeling_tf_resn... | {
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https://api.github.com/repos/huggingface/transformers/issues/21259 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21259/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21259/comments | https://api.github.com/repos/huggingface/transformers/issues/21259/events | https://github.com/huggingface/transformers/pull/21259 | 1,553,121,327 | PR_kwDOCUB6oc5IVApz | 21,259 | Add methods to PreTrainedModel to use PyTorch's BetterTransformer | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"as a side note, since in the previous `optimum` versions the `save_pretrained` and `push_to_hub` methods [are not blocked](https://github.com/huggingface/optimum/blob/18e73f3ba4be33071f53650824fe625d3018af40/optimum/bettertransformer... | 1,674 | 1,682 | 1,682 | COLLABORATOR | null | As per title.
Should be merged only on the next Optimum release that will include https://github.com/huggingface/optimum/pull/676
## Before submitting
Tests are still to be done.
## Who can review?
@younesbelkada @sgugger
| {
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https://api.github.com/repos/huggingface/transformers/issues/21258 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21258/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21258/comments | https://api.github.com/repos/huggingface/transformers/issues/21258/events | https://github.com/huggingface/transformers/pull/21258 | 1,553,120,483 | PR_kwDOCUB6oc5IVAeO | 21,258 | Add missing checkpoint for doctest | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,674 | 1,674 | 1,674 | COLLABORATOR | null | # What does this PR do?
The checkpoint for mobilenetv2 was accidentally removed in #21106 (see file change [here](https://github.com/huggingface/transformers/pull/21106/files#diff-f224d96e46d68f58f9632184f915210b3217a61253c42ff6354763e1b0f34050)), resulting in failing doctests. This adds it back.
## Before submi... | {
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https://api.github.com/repos/huggingface/transformers/issues/21257 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21257/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21257/comments | https://api.github.com/repos/huggingface/transformers/issues/21257/events | https://github.com/huggingface/transformers/pull/21257 | 1,553,114,587 | PR_kwDOCUB6oc5IU_Mx | 21,257 | [ci-daily] Fix pipeline tests | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,674 | 1,674 | 1,674 | COLLABORATOR | null | # What does this PR do?
Should fix the `automatic_speech_recognition_pipeline` tests.
Also using `streaming` dataset to speed up tests. Think it is a good idea if we are only using 1 data. | {
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https://api.github.com/repos/huggingface/transformers/issues/21256 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21256/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21256/comments | https://api.github.com/repos/huggingface/transformers/issues/21256/events | https://github.com/huggingface/transformers/pull/21256 | 1,553,066,405 | PR_kwDOCUB6oc5IU0se | 21,256 | Fix MaskFormerImageProcessor.post_process_instance_segmentation | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"> Thanks for fixing! Should we add a corresponding test for it, which verifies the postprocessed results?\r\n\r\nI added a test but Mask2Former, unlike MaskFormer, outputs segmentation maps of shape (96, 96) instead of the preprocess... | 1,674 | 1,674 | 1,674 | CONTRIBUTOR | null | # What does this PR do?
Fixes the `post_process_instance_segmentation` method of `MaskFormerImageProcessor`. This issue mainly affects Mask2Former as it uses MaskFormerImageProcessor and there aren't any MaskFormer models trained on instance segmentation datasets.
Unlike panoptic segmentation post-processing, the ... | {
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https://api.github.com/repos/huggingface/transformers/issues/21255 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21255/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21255/comments | https://api.github.com/repos/huggingface/transformers/issues/21255/events | https://github.com/huggingface/transformers/issues/21255 | 1,553,064,306 | I_kwDOCUB6oc5ckeFy | 21,255 | DistilBertModel to sequence classification | {
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"Hey! These kind of question have more sense if you ask in the [forum](https://discuss.huggingface.co/), as it is not exactly an issue nor a bug. Nevertheless, IMO you should use `DistilBertForSequenceClassification` and just modify the `max_position_embeddings`. \r\n\r\nClosing as it is not an issue"
] | 1,674 | 1,674 | 1,674 | NONE | null | ### System Info
Hi,
I'm trying to create a ```DistilBertModel ``` model for sequence classification, such that ```max_position_embeddings=1024``` (otherwise I would have used ```DistilBertForSequenceClassification``` which is defult to ```max_position_embeddings=512``` )
I define the model in the following way:
... | {
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https://api.github.com/repos/huggingface/transformers/issues/21254 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21254/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21254/comments | https://api.github.com/repos/huggingface/transformers/issues/21254/events | https://github.com/huggingface/transformers/pull/21254 | 1,553,049,918 | PR_kwDOCUB6oc5IUxHT | 21,254 | Fix reformer CI | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,674 | 1,674 | 1,674 | COLLABORATOR | null | # What does this PR do?
Some fixes are required for doctest after #21199. See comments in the review. | {
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https://api.github.com/repos/huggingface/transformers/issues/21253 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21253/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21253/comments | https://api.github.com/repos/huggingface/transformers/issues/21253/events | https://github.com/huggingface/transformers/pull/21253 | 1,552,924,774 | PR_kwDOCUB6oc5IUV7t | 21,253 | [WIP] Adding GPT2 with Multi Query Attention | {
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"Regarding tests `test_batch_generation` and `test_batch_generation_2heads`. If token initialisation class is changed form `GPT2Tokenizer` to `GPT2TokenizerFast` the test passes through until generated tokens assertion. Is it intended behaviour or the loading functionality should have rerouted from the default c... | 1,674 | 1,682 | 1,682 | MEMBER | null | # Adding GPT2 with Multi Query Attention
This PR adds a GPT2 architecture with Multi Query Attention (MQA). With MQA the V,K weights are shared across heads and only Qs are unique which makes it possible to run the model with very large batches.
This is the Architecture used in [BigCode's SantaCoder](https://hugg... | {
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https://api.github.com/repos/huggingface/transformers/issues/21252 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21252/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21252/comments | https://api.github.com/repos/huggingface/transformers/issues/21252/events | https://github.com/huggingface/transformers/pull/21252 | 1,552,877,795 | PR_kwDOCUB6oc5IULuD | 21,252 | [Whisper] Refactor whisper | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"\"The language is automatically detected\". From my experience the language detection by Whisper is very unreliable. Will it still be possible to specify language?",
"Sure, let's make sure we still allow the language to be past! Th... | 1,674 | 1,706 | 1,674 | COLLABORATOR | null | # What does this PR do?
The goal of this PR is to allow the users to do the following :
```python
...
whisper_model.generate(audio, return_timestamps = True)
whisper_model.generate(audio, return_timestamps = True, task = Transcribe)
```
The language is automatically detected. This also simplifies the pipeline ... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,674 | 1,674 | 1,674 | MEMBER | null | # What does this PR do?
See title -- it was causing doctests to fail. | {
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https://api.github.com/repos/huggingface/transformers/issues/21250 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21250/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21250/comments | https://api.github.com/repos/huggingface/transformers/issues/21250/events | https://github.com/huggingface/transformers/pull/21250 | 1,552,867,539 | PR_kwDOCUB6oc5IUJhf | 21,250 | [Whisper] fix all issues with unk token | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,674 | 1,674 | 1,674 | COLLABORATOR | null | # What does this PR do?
Previously, all OOV ( and thus timestamp tokens) outputed by the model are decoded to `<|endoftext|>` by the `xxx.en` whisper models. This does not happen with the multilingual model only because I added `""` to the vocabulary, and the `unk_token_id` is the same `""`. But this does not really m... | {
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https://api.github.com/repos/huggingface/transformers/issues/21249 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21249/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21249/comments | https://api.github.com/repos/huggingface/transformers/issues/21249/events | https://github.com/huggingface/transformers/issues/21249 | 1,552,619,152 | I_kwDOCUB6oc5cixaQ | 21,249 | Unable to use GPU during wav2vec2 decoding | {
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"`pyctcdecode` doesn't support GPU",
"Indeed, `pyctcdecode` is a CPU only decoding method. PyTorch recently released a fast beam search decoder with a Flashlight backend: https://pytorch.org/blog/fast-beam-search-decoding-in-pytorch-with-torchaudio-and-flashlight-text/\r\n\r\nWe could look at integrating this int... | 1,674 | 1,678 | 1,678 | NONE | null | ### System Info
Hi All,
I have built a finetuned model for Tamil using facebook/wav2vec2-xls-r-300m. I could do inferencing successfully using CPU. However, Wav2vec2 decoding (with pyctcdecoder) using GPU is not working. I have tried enabling device='gpu' in the decoding script, and also running the decoding script a... | {
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https://api.github.com/repos/huggingface/transformers/issues/21248 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21248/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21248/comments | https://api.github.com/repos/huggingface/transformers/issues/21248/events | https://github.com/huggingface/transformers/issues/21248 | 1,552,604,015 | I_kwDOCUB6oc5cittv | 21,248 | add interface or integration to provide interpretability/explainability of hugging face models | {
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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... | 1,674 | 1,677 | 1,677 | NONE | null | ### Feature request
require model answer requests on training biases and model transparency for interpretability and explainability within workflow of such model processes, currently there is no support for this on the platform
e.g.
a form of blackbox testing on the models
a form of ui interface
a way to evalu... | {
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https://api.github.com/repos/huggingface/transformers/issues/21246 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21246/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21246/comments | https://api.github.com/repos/huggingface/transformers/issues/21246/events | https://github.com/huggingface/transformers/issues/21246 | 1,552,330,878 | I_kwDOCUB6oc5chrB- | 21,246 | BERT Embedding Weights VS Last Hidden State | {
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"After much more digging, I found a superb in-depth explanation by Alexey Kravets in this article: \r\nhttps://towardsdatascience.com/deep-dive-into-the-code-of-bert-model-9f618472353e\r\n\r\nApparently, the last hidden state returns the context-aware representations of the word embeddings, which are calculated fro... | 1,674 | 1,694 | 1,674 | NONE | null | ### BERT for Feature Extraction: Embedding Weights VS Last Hidden State
I am trying to extract the pretrained BERT token embeddings and get the feature vector for any specific token by indexing the token ID. However, I found that indexing the pretrained embedding matrix returns very different values as compared to fee... | {
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https://api.github.com/repos/huggingface/transformers/issues/21245 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21245/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21245/comments | https://api.github.com/repos/huggingface/transformers/issues/21245/events | https://github.com/huggingface/transformers/pull/21245 | 1,552,277,100 | PR_kwDOCUB6oc5ISMPA | 21,245 | [GIT] Convert more checkpoints | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,674 | 1,674 | 1,674 | CONTRIBUTOR | null | # What does this PR do?
Microsoft open-sourced some more GIT checkpoints (see https://github.com/microsoft/GenerativeImage2Text/issues/34#issuecomment-1374378625), hence I've converted them by extending the conversion script. | {
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https://api.github.com/repos/huggingface/transformers/issues/21244 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21244/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21244/comments | https://api.github.com/repos/huggingface/transformers/issues/21244/events | https://github.com/huggingface/transformers/issues/21244 | 1,552,257,574 | I_kwDOCUB6oc5chZIm | 21,244 | Models not in eval()-mode when loaded with from_config() | {
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"A model created with `from_config` will have random weights and is thus not suitable for inference. This is why it is put in training mode, as the documentation clearly states. In any case, it has been the case for such a long time that reverting this would surprise way more users with a breaking change.",
"The ... | 1,674 | 1,674 | 1,674 | NONE | null | ### System Info
The docs say that models loaded with `from_pretrained()` are done so with `model.eval()` mode on by default. But when using `from_config()` that's not the case, even though loading configs and tokenizers would be using `from_pretrained()` like so:
```python
config = AutoConfig.from_pretrained(
M... | {
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https://api.github.com/repos/huggingface/transformers/issues/21243 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21243/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21243/comments | https://api.github.com/repos/huggingface/transformers/issues/21243/events | https://github.com/huggingface/transformers/issues/21243 | 1,552,230,382 | I_kwDOCUB6oc5chSfu | 21,243 | How to create distil-opt/bloom | {
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"This is not an issue, could you maybe ask the question in the [forum](https://discuss.huggingface.co/)? Also, the answer is no. @younesbelkada worked a bit on this so he can answer if you ping him on the forum."
] | 1,674 | 1,674 | 1,674 | NONE | null | Is there any script to create a distilled version of opt or bloom model? | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_21242). All of your documentation changes will be reflected on that endpoint."
] | 1,674 | 1,674 | 1,674 | CONTRIBUTOR | null | null | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,674 | 1,674 | 1,674 | CONTRIBUTOR | null | # What does this PR do?
Adds Japanese translation to installation.mdx
<!--
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 awe... | {
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"Hi, @fdalvi the code runs as expected if you use `pipeline` instead of `TokenClassificationPipeline`,\r\n```\r\nfrom transformers import AutoTokenizer, AutoModelForTokenClassification, pipeline\r\n\r\nmodel_name = \"QCRI/bert-base-multilingual-cased-pos-english\"\r\ntokenizer = AutoTokenizer.from_pretrained(model_... | 1,674 | 1,674 | 1,674 | NONE | null | ### System Info
- `transformers` version: 4.25.1
- Platform: macOS-10.16-x86_64-i386-64bit
- Python version: 3.9.16
- Huggingface_hub version: 0.11.1
- PyTorch version (GPU?): 1.13.1 (False)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not ... | {
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https://api.github.com/repos/huggingface/transformers/issues/21239 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21239/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21239/comments | https://api.github.com/repos/huggingface/transformers/issues/21239/events | https://github.com/huggingface/transformers/pull/21239 | 1,552,012,846 | PR_kwDOCUB6oc5IRZEo | 21,239 | [WIP] Add UDOP models | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@sgugger @NielsRogge The model weights are here https://huggingface.co/ZinengTang/Udop/tree/main , But how to get the config for these models ? \r\n",
"@raghavanone For reference, someone asked the same question on the UDOP repo:... | 1,674 | 1,682 | 1,678 | CONTRIBUTOR | null | #20650 | {
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https://api.github.com/repos/huggingface/transformers/issues/21238 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21238/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21238/comments | https://api.github.com/repos/huggingface/transformers/issues/21238/events | https://github.com/huggingface/transformers/issues/21238 | 1,551,896,514 | I_kwDOCUB6oc5cgA_C | 21,238 | Statement seems to have no effect | {
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"It turns out that this is not a function but a property which do some complex initialization. :shrug:\r\n"
] | 1,674 | 1,674 | 1,674 | NONE | null | ### System Info
transformers from `v4.3.3` to `v4.25.1`.
### Who can help?
@sgugger
### Information
- [ ] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or dataset (give details below)
#... | {
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https://api.github.com/repos/huggingface/transformers/issues/21237 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21237/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21237/comments | https://api.github.com/repos/huggingface/transformers/issues/21237/events | https://github.com/huggingface/transformers/pull/21237 | 1,551,830,527 | PR_kwDOCUB6oc5IQ3Hx | 21,237 | Add support of backward_prefetch and forward_prefetch | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@sgugger Done, But not sure why this test is failing. Any pointers on how to make this build green would help.",
"@sgugger @pacman100 Need pointer on why this test is failing.",
"> The test is a flaky one, don't worry about it. ... | 1,674 | 1,675 | 1,675 | CONTRIBUTOR | null | #21156
Adds support for backward_prefetch and forward_prefetch in trainer.
@sgugger @pacman100 | {
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https://api.github.com/repos/huggingface/transformers/issues/21236 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21236/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21236/comments | https://api.github.com/repos/huggingface/transformers/issues/21236/events | https://github.com/huggingface/transformers/pull/21236 | 1,551,813,927 | PR_kwDOCUB6oc5IQ0Ba | 21,236 | Optimize by not computing gradients for parameters set to requires_grad=False | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_21236). All of your documentation changes will be reflected on that endpoint.",
"@sgugger Need to retrigger this build .\r\n"
] | 1,674 | 1,674 | 1,674 | CONTRIBUTOR | null | Fix #21182
@sgugger
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https://api.github.com/repos/huggingface/transformers/issues/21235 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21235/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21235/comments | https://api.github.com/repos/huggingface/transformers/issues/21235/events | https://github.com/huggingface/transformers/pull/21235 | 1,551,795,798 | PR_kwDOCUB6oc5IQwqm | 21,235 | WIP porting of lite transformer | {
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"@NielsRogge Needs some help how to go about the conversion script and testing. \r\n\r\nThe original model is not in pytorch hub, I has only Google Drive link. In the conversion script should I download and convert ? ",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_21... | 1,674 | 1,677 | 1,677 | CONTRIBUTOR | null | # What does this PR do?
#19730
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https://api.github.com/repos/huggingface/transformers/issues/21234 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21234/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21234/comments | https://api.github.com/repos/huggingface/transformers/issues/21234/events | https://github.com/huggingface/transformers/pull/21234 | 1,551,794,547 | PR_kwDOCUB6oc5IQwbT | 21,234 | Speed up `BeamScorer` by 1000% | {
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"I am really unfamiliar with huggingface CI, it errors:\r\n\r\n```\r\nFrom github.com:huggingface/transformers\r\n * [new ref] refs/pull/21234/head -> origin/pull/21234\r\nChecking out branch\r\nfatal: reference is not a tree: 9fb13c79a72d13cdf0dd59d48762cd7c95370b29\r\n\r\nexit status 128\r\n```\r\n\r\... | 1,674 | 1,697 | 1,677 | 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/21233 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21233/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21233/comments | https://api.github.com/repos/huggingface/transformers/issues/21233/events | https://github.com/huggingface/transformers/issues/21233 | 1,551,782,524 | I_kwDOCUB6oc5cflJ8 | 21,233 | IndexError: index out of range in self during ViltForImagesAndTextClassification fine-tuning | {
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"cc @NielsRogge and @alaradirik ",
"Hi @shantanu778, your input shapes seem correct but could you provide a minimal code example that reproduces the error?",
"As you can see the error is in the forward function. I actually didn't changed a lot in ViltForImagesAndTextClassification class. Here is my CustomModel:... | 1,674 | 1,685 | 1,678 | NONE | null | ### System Info
I am running on google colab. Though I got the same error for GPU. Here I am showing without GPU information
- `transformers` version: 4.25.1
- Platform: Linux-5.10.147+-x86_64-with-glibc2.29
- Python version: 3.8.10
- Huggingface_hub version: 0.11.1
- PyTorch version (GPU?): 1.13.1+cu116 (False... | {
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https://api.github.com/repos/huggingface/transformers/issues/21232 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21232/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21232/comments | https://api.github.com/repos/huggingface/transformers/issues/21232/events | https://github.com/huggingface/transformers/pull/21232 | 1,551,744,850 | PR_kwDOCUB6oc5IQnWH | 21,232 | [Mask2Former] Add doc tests | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@ydshieh not sure why CI is failing, running `make fixup` locally doesn't result in any updates. My version is black 22.3",
"@NielsRogge mine is also 22.03, but it reformates the modeling file. Not sure why though, do you want me t... | 1,674 | 1,674 | 1,674 | CONTRIBUTOR | null | # What does this PR do?
This PR ensures that the code snippet's in Mask2Former's docs work as intended, and are tested. | {
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https://api.github.com/repos/huggingface/transformers/issues/21231 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21231/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21231/comments | https://api.github.com/repos/huggingface/transformers/issues/21231/events | https://github.com/huggingface/transformers/issues/21231 | 1,551,735,414 | I_kwDOCUB6oc5cfZp2 | 21,231 | how to fine tune BlipForImageTextRetrieval? | {
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"cc @younesbelkada ",
"I'd recommend fine-tuning CLIP if you want to do image-text retrieval using this script: https://github.com/huggingface/transformers/tree/main/examples/pytorch/contrastive-image-text.\r\n\r\nFine-tuning BLIP might be harder as it involves some very specific loss functions.",
"Thank you fo... | 1,674 | 1,677 | 1,677 | CONTRIBUTOR | null | ### Feature request
how to fine tune BlipForImageTextRetrieval?
Can you borrow some methods from here to achieve this?
https://github.com/salesforce/LAVIS/blob/main/lavis/models/blip_models/blip_retrieval.py
### Motivation
Implement a graphical matching model that, due to the filtering of poor quality pairs of mat... | {
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https://api.github.com/repos/huggingface/transformers/issues/21230 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21230/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21230/comments | https://api.github.com/repos/huggingface/transformers/issues/21230/events | https://github.com/huggingface/transformers/issues/21230 | 1,551,727,674 | I_kwDOCUB6oc5cfXw6 | 21,230 | when adding tokens for BlipModel,A bug has appeared | {
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"Hi @ScottishFold007 \r\nThanks for the issue, I don't really see how the script you provided can add a new vocab to the model, can you either provide the full script or the full traceback of the error? Thanks!",
"This issue has been automatically marked as stale because it has not had recent activity. If you thi... | 1,674 | 1,677 | 1,677 | CONTRIBUTOR | null |
When I execute the following code to add a vocab, an error is reported -
`
import os
os.environ['CUDA_VISIBLE_DEVICES'] = '0,1'
import sys
import logging
import pandas as pd
from dataclasses import dataclass, field
from typing import Optional
import torch
from datasets import Dataset
from datasets imp... | {
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https://api.github.com/repos/huggingface/transformers/issues/21229 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21229/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21229/comments | https://api.github.com/repos/huggingface/transformers/issues/21229/events | https://github.com/huggingface/transformers/pull/21229 | 1,551,703,898 | PR_kwDOCUB6oc5IQf50 | 21,229 | Add scikit-learn dependency to train langage-modeling | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,674 | 1,674 | 1,674 | CONTRIBUTOR | null | # What does this PR do?
In order to run the language modeling training script, we need `scikit-learn` to be installed, so this PR adds it to the requirements.txt
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [ ] Did you read the [... | {
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https://api.github.com/repos/huggingface/transformers/issues/21228 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21228/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21228/comments | https://api.github.com/repos/huggingface/transformers/issues/21228/events | https://github.com/huggingface/transformers/issues/21228 | 1,551,698,837 | I_kwDOCUB6oc5cfQuV | 21,228 | Issue Importing Image Resolution Models | {
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"Hi, @pravin-santhanam27 there seems to be a problem loading `Swin2SRForImageSuperResolution` with stable transformers(4.25.1) which we install from pypi. But this error is not present if you install from the source(4.26.0.dev0). This error is fixed in the source version(which is regularly updated) and will also be... | 1,674 | 1,674 | 1,674 | NONE | null | Hey Everyone,
I am tying to import a model from transformers for deblurring images.
I am on Python 3.10.9 and just install transformers 4.25.1
The error comes on import
`from transformers import AutoImageProcessor, Swin2SRForImageSuperResolution`
and the error is:
`Traceback (most recent call last):... | {
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https://api.github.com/repos/huggingface/transformers/issues/21227 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21227/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21227/comments | https://api.github.com/repos/huggingface/transformers/issues/21227/events | https://github.com/huggingface/transformers/pull/21227 | 1,551,650,838 | PR_kwDOCUB6oc5IQVUT | 21,227 | [WIP] Support BLIP and GIT in image-to-text and VQA pipelines | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_21227). All of your documentation changes will be reflected on that endpoint.",
"Hi @NielsRogge, should I remove the return of the topk scores in the VQA pipeline that used ViltForQuestionAnswering only?",
"This issue has... | 1,674 | 1,678 | 1,678 | CONTRIBUTOR | null | # What does this PR do?
Support BLIP and GIT models in image-to-text and VQA pipelines.
Fixes #21110
## Before submitting
- [ ] 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/trans... | {
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https://api.github.com/repos/huggingface/transformers/issues/21226 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21226/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21226/comments | https://api.github.com/repos/huggingface/transformers/issues/21226/events | https://github.com/huggingface/transformers/pull/21226 | 1,551,650,533 | PR_kwDOCUB6oc5IQVQU | 21,226 | Skip failing test for now | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_21226). All of your documentation changes will be reflected on that endpoint."
] | 1,674 | 1,674 | 1,674 | COLLABORATOR | null | # What does this PR do?
All is said in the title. Test is currently failing on main for no reason (I imagine a new release of one of the deps), more can be found [here](https://app.circleci.com/pipelines/github/huggingface/transformers/55784/workflows/83b929a9-3d0d-482a-a823-806f44824bf8/jobs/673138).
cc @sanchit... | {
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https://api.github.com/repos/huggingface/transformers/issues/21225 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21225/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21225/comments | https://api.github.com/repos/huggingface/transformers/issues/21225/events | https://github.com/huggingface/transformers/pull/21225 | 1,551,508,060 | PR_kwDOCUB6oc5IP2vF | 21,225 | Models docstring | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thank you @sgugger for cleaning this up. With all ~250 files, I will trust you instead of look lines by lines, except one question below.\r\n\r\nI would definitely prefer to run a doctest first offline before merging this PR - for wh... | 1,674 | 1,674 | 1,674 | COLLABORATOR | null | # What does this PR do?
This PR cleans up all docstrings following up from #20757 and #21199. It removes the need for the `processor_class` in TensorFlow and Flax generic examples by setting in the examples like #20757 did for PyTorch then makes a full pass across all models to clean up the docstrings (removing the ... | {
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https://api.github.com/repos/huggingface/transformers/issues/21224 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21224/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21224/comments | https://api.github.com/repos/huggingface/transformers/issues/21224/events | https://github.com/huggingface/transformers/pull/21224 | 1,551,479,607 | PR_kwDOCUB6oc5IPw9t | 21,224 | [`BLIP`] fix docstring for `BlipTextxxx` | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,674 | 1,674 | 1,674 | CONTRIBUTOR | null | # What does this PR do?
Fixes docstrings for `BlipTextModel` and `BlipTextLMHeadModel` to follow the dostring structure of `transformers` and be rendered properly by the `doc-builder`
cc @sgugger | {
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https://api.github.com/repos/huggingface/transformers/issues/21223 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21223/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21223/comments | https://api.github.com/repos/huggingface/transformers/issues/21223/events | https://github.com/huggingface/transformers/pull/21223 | 1,551,450,147 | PR_kwDOCUB6oc5IPrDL | 21,223 | Add: TensorFlow example for semantic segmentation task guide | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,674 | 1,674 | 1,674 | CONTRIBUTOR | null | This PR adds a TensorFlow example to the existing [Semantic Segmentation task guide](https://huggingface.co/docs/transformers/main/en/tasks/semantic_segmentation) using the same dataset and fine-tuning steps.
This example supplements the existing guide and can be helpful to those who choose TensorFlow over PyTorch ... | {
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https://api.github.com/repos/huggingface/transformers/issues/21222 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21222/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21222/comments | https://api.github.com/repos/huggingface/transformers/issues/21222/events | https://github.com/huggingface/transformers/pull/21222 | 1,551,304,660 | PR_kwDOCUB6oc5IPLyW | 21,222 | Add WhisperTokenizerFast | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@ArthurZucker thanks for the help! I think now the steps are to update the unknown token in multilangual checkpoints and add `tokenizer.json` to the repos. Let me know if there's anything I can help with :)",
"Feel free to open com... | 1,674 | 1,676 | 1,676 | CONTRIBUTOR | null | Adds the fast version of Whisper tokenizer. The Whisper tokenizer is essentially GPT2 tokenizer with special tokens. The main difference is the additional normalizer (which I mirrored from the slow tokenizer) and language/task-dependent prefix tokens.
One of the tokenizer tests is failing, it's because there is no `... | {
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https://api.github.com/repos/huggingface/transformers/issues/21221 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21221/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21221/comments | https://api.github.com/repos/huggingface/transformers/issues/21221/events | https://github.com/huggingface/transformers/issues/21221 | 1,551,278,859 | I_kwDOCUB6oc5cdqML | 21,221 | MobileViT | {
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"Answered here: https://github.com/NielsRogge/Transformers-Tutorials/issues/241"
] | 1,674 | 1,674 | 1,674 | NONE | null | ### System Info
- `transformers` version: 4.26.0.dev0
- Platform: Linux-5.15.0-1027-gcp-x86_64-with-debian-bullseye-sid
- Python version: 3.7.12
- Huggingface_hub version: 0.11.0
- PyTorch version (GPU?): 1.12.1 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed... | {
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https://api.github.com/repos/huggingface/transformers/issues/21220 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21220/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21220/comments | https://api.github.com/repos/huggingface/transformers/issues/21220/events | https://github.com/huggingface/transformers/issues/21220 | 1,551,224,224 | I_kwDOCUB6oc5cdc2g | 21,220 | [Generation Config] General issues | {
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"1. Agree - I think we should/could allow this functionality.\r\n2. Here I don't think we need to change anything. It's quite intuitive for me that the \"[from_model_config](https://github.com/huggingface/transformers/blob/4e730b387364c9f46b6b1b0c79fdaf0903c42257/src/transformers/generation/configuration_utils.py#L... | 1,674 | 1,693 | 1,676 | COLLABORATOR | null | # Generation config
I know it has just been added so it is normal! But the following are missing (and are pretty intuitive w.r.t our other objects such as configs, processors etc):
- [ ] `GenerationConfig.from_pretrained("openai/whisper-tiny.en" )` where the path does not already have a `generation_config.json`. ... | {
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https://api.github.com/repos/huggingface/transformers/issues/21219 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21219/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21219/comments | https://api.github.com/repos/huggingface/transformers/issues/21219/events | https://github.com/huggingface/transformers/pull/21219 | 1,551,180,409 | PR_kwDOCUB6oc5IOxEf | 21,219 | Microphone live inference catching up when inference is too slow (whisper). | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,674 | 1,674 | 1,674 | CONTRIBUTOR | null | # What does this PR do?
When using relatively slow inference models (like whisper, especially the large variants
on moderate hardware). The live inference snippets would be so slow that it would
feel extremely laggy.
This PR fixes it by adding an estimate of what is real time, and simply skip inferences
when we're t... | {
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https://api.github.com/repos/huggingface/transformers/issues/21218 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21218/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21218/comments | https://api.github.com/repos/huggingface/transformers/issues/21218/events | https://github.com/huggingface/transformers/pull/21218 | 1,551,166,656 | PR_kwDOCUB6oc5IOuFi | 21,218 | Replace reduce_labels with do_reduce_labels | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,674 | 1,674 | 1,674 | COLLABORATOR | null | # What does this PR do?
The `reduce_labels` flags for most of the image processors was deprecated for`do_reduce_labels`. This was to keep consistent with the `do_xxx` pattern with other flags.
This PR deprecates the flag for any models that still used `reduce_labels`.
## Before submitting
- [ ] This PR fix... | {
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https://api.github.com/repos/huggingface/transformers/issues/21217 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21217/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21217/comments | https://api.github.com/repos/huggingface/transformers/issues/21217/events | https://github.com/huggingface/transformers/pull/21217 | 1,551,149,824 | PR_kwDOCUB6oc5IOqYD | 21,217 | [`BLIP`] fix doctest | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,674 | 1,674 | 1,674 | CONTRIBUTOR | null | # What does this PR do?
This PR fixes `BLIP` doctest.
Link to failing job: https://github.com/huggingface/transformers/actions/runs/3964164193
The docstring of the `forward` method of `BlipForQuestionAnswering` has been corrected to educate users on how to correctly use this module after https://github.com/h... | {
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https://api.github.com/repos/huggingface/transformers/issues/21216 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21216/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21216/comments | https://api.github.com/repos/huggingface/transformers/issues/21216/events | https://github.com/huggingface/transformers/pull/21216 | 1,551,141,512 | PR_kwDOCUB6oc5IOojv | 21,216 | Skip `test_multi_gpu_data_parallel_forward` for `UperNetModelTest` | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Wait, are you saying that models that using add_module can't leverage multi-GPU training?",
"> Wait, are you saying that models that using add_module can't leverage multi-GPU training?\r\n\r\n\r\n(well, just not with the way we use... | 1,674 | 1,674 | 1,674 | COLLABORATOR | null | # What does this PR do?
Same as `BEIT`, this model uses some `add_module` and we need to skip this test. | {
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https://api.github.com/repos/huggingface/transformers/issues/21215 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21215/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21215/comments | https://api.github.com/repos/huggingface/transformers/issues/21215/events | https://github.com/huggingface/transformers/pull/21215 | 1,551,116,283 | PR_kwDOCUB6oc5IOjLP | 21,215 | Fix OneFormer Docstrings | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,674 | 1,674 | 1,674 | CONTRIBUTOR | null | # What does this PR do?
Fixes docstrings for OneFormer.
- [x] Checked that all the doctests passed for the following command:
```bash
python3 -m pytest -v --make-reports doc_tests_gpu --doctest-modules src/transformers/models/oneformer/ -sv --doctest-continue-on-failure --doctest-glob="*.mdx"
```
## Before ... | {
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https://api.github.com/repos/huggingface/transformers/issues/21214 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21214/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21214/comments | https://api.github.com/repos/huggingface/transformers/issues/21214/events | https://github.com/huggingface/transformers/issues/21214 | 1,551,004,082 | I_kwDOCUB6oc5ccnGy | 21,214 | Support for OrderedConstraints, TemplateConstraints and LiteralConstraints in force_words_ids | {
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"cc @gante",
"Hi @ruanchaves 👋 \r\n\r\nI'm not sure whether I understand the issue you described above. Our generation methods return the sequence log probabilities, from which you can compute the sequence perplexity. What would be missing for your use case?\r\n\r\nRegarding `force_words_ids`, I'm reluctant to a... | 1,674 | 1,707 | 1,707 | CONTRIBUTOR | null | ### Feature request
As raised by @sijunhe in [this blog post](https://huggingface.co/blog/constrained-beam-search), the `force_words_ids` argument of the `model.generate()` method needs to be modified to support `OrderedConstraints` and `TemplateConstraints`.
In addition, there is a need for a `LiteralConstraints... | {
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https://api.github.com/repos/huggingface/transformers/issues/21213 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21213/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21213/comments | https://api.github.com/repos/huggingface/transformers/issues/21213/events | https://github.com/huggingface/transformers/pull/21213 | 1,550,922,808 | PR_kwDOCUB6oc5IN58K | 21,213 | Fix GPTJ doctest | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,674 | 1,674 | 1,674 | COLLABORATOR | null | # What does this PR do?
In #21178, the checkpoint used for `GPTJForSequenceClassification` is changed back to `_CHECKPOINT_FOR_DOC`, which is `hf-internal-testing/tiny-random-gptj`. That checkpoint has `self.score` with shape `[2, 512]`, but the model has `self.score` with shape `[2, 32]` as `config.n_embd=32`. The ... | {
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https://api.github.com/repos/huggingface/transformers/issues/21212 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21212/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21212/comments | https://api.github.com/repos/huggingface/transformers/issues/21212/events | https://github.com/huggingface/transformers/pull/21212 | 1,550,683,891 | PR_kwDOCUB6oc5INGgg | 21,212 | Update `huggingface_hub` version | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,674 | 1,674 | 1,674 | COLLABORATOR | null | # What does this PR do?
Update `huggingface_hub` version to `0.12.0rc0` and necessary changes with this version.
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"Hi @ArthurZucker, can I work on this issue? Thank you!",
"Sure! Awesome that you want to take this on! Feel free to open a PR and ping me if you need any pointers",
"@ArthurZucker I have several questions:\r\n1. Is there any slack channel/discord where we can discuss the details of the issue? \r\n2. About the ... | 1,674 | 1,677 | 1,675 | NONE | null | ### Feature request
So far it isn't possible to use t5-models with the standard mask-fill-pipeline and everyone is building their own custom workaround.
### Motivation
It would save work and reduce complexity if this function is integrated.
### Your contribution
There is already a workaround: https://github.com/hu... | {
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https://api.github.com/repos/huggingface/transformers/issues/21210 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21210/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21210/comments | https://api.github.com/repos/huggingface/transformers/issues/21210/events | https://github.com/huggingface/transformers/pull/21210 | 1,550,620,109 | PR_kwDOCUB6oc5IM4tL | 21,210 | Declare __len__ method in PreTrainedTokenizerBase | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,674 | 1,674 | 1,674 | CONTRIBUTOR | null | # What does this PR do?
When type hinting a tokenizer with `PreTrainedTokenizerBase`, it doesn't know supprt `len(tokenizer)`, but both slow and fast version implement `__len__` so we declare it at least to make the type hints happy, we could make this an `abstract_method` as well if needed | {
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https://api.github.com/repos/huggingface/transformers/issues/21209 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21209/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21209/comments | https://api.github.com/repos/huggingface/transformers/issues/21209/events | https://github.com/huggingface/transformers/pull/21209 | 1,550,578,312 | PR_kwDOCUB6oc5IMvun | 21,209 | Encode object type in Donut tokens | {
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"Not sure why `black` is failing. `make fixup` doesn't change anything for me.",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_21209). All of your documentation changes will be reflected on that endpoint.",
"This issue has been automatically marked as stale because i... | 1,674 | 1,682 | 1,682 | NONE | null | # What does this PR do?
This makes use of encoded object types in text generated by Donut. It fixes a few issues:
- keys of the same name appearing at different levels of the JSON are no longer confused
- no more ambiguity between a dict and a list of length 1 containing a dict
Additionally, this allows us to... | {
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https://api.github.com/repos/huggingface/transformers/issues/21208 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21208/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21208/comments | https://api.github.com/repos/huggingface/transformers/issues/21208/events | https://github.com/huggingface/transformers/issues/21208 | 1,550,490,060 | I_kwDOCUB6oc5capnM | 21,208 | UL2 Mixture-of-Denoiser loss | {
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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... | 1,674 | 1,677 | 1,677 | NONE | null | ### Feature request
The losses applied to the paper **UL2: Unifying Language Learning Paradigms**
The Mixture-of-Denoisers losses are described in the UL2 paper, which can be found at the following link: https://arxiv.org/abs/2205.05131
The code is based on T5x (which is JAX/FLAX): https://github.com/google-research... | {
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https://api.github.com/repos/huggingface/transformers/issues/21207 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21207/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21207/comments | https://api.github.com/repos/huggingface/transformers/issues/21207/events | https://github.com/huggingface/transformers/pull/21207 | 1,550,345,520 | PR_kwDOCUB6oc5IL-jy | 21,207 | Fix `CONFIG_ARCHIVE_MAP_MAPPING_NAMES` | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"I will merge as it is - don't think it matters (at least not at this moment), and eventually this is going to be deprecated."
] | 1,674 | 1,674 | 1,674 | COLLABORATOR | null | # What does this PR do?
Fix `CONFIG_ARCHIVE_MAP_MAPPING_NAMES` as reported in #21204.
Also, `UPERNET_PRETRAINED_CONFIG_ARCHIVE_MAP` doesn't exist.
Remark: we have planned deprecation
```
warnings.warn(
"ALL_PRETRAINED_CONFIG_ARCHIVE_MAP is deprecated and will be removed in v5 of Transforme... | {
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https://api.github.com/repos/huggingface/transformers/issues/21206 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21206/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21206/comments | https://api.github.com/repos/huggingface/transformers/issues/21206/events | https://github.com/huggingface/transformers/issues/21206 | 1,550,322,342 | I_kwDOCUB6oc5caAqm | 21,206 | OwlVit gives different results compared to original colab version | {
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"Yes we had a hard time making the Space output the same bounding boxes as in Colab (eventually it worked on the cats image). It had to do with the Pillow version.\r\n\r\nSo I'm guessing there might be a difference in Pillow versions here as well\r\n\r\nCc @alaradirik ",
"Do you mean Pillow changes the input valu... | 1,674 | 1,700 | 1,700 | NONE | null | ### System Info
Using huggingface space and google colab
### Who can help?
@adirik
### Information
- [x] The official example scripts
- [x] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or dataset (give details below)
##... | {
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https://api.github.com/repos/huggingface/transformers/issues/21205 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21205/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21205/comments | https://api.github.com/repos/huggingface/transformers/issues/21205/events | https://github.com/huggingface/transformers/pull/21205 | 1,550,292,538 | PR_kwDOCUB6oc5ILzft | 21,205 | WIP: Added basic eos token based pooling | {
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"@ArthurZucker Hi! Just moved to this pr. Just some git issues so switched but this is based on the pr [here](https://github.com/huggingface/transformers/pull/21096)",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_21205). All of your documentation changes will be refle... | 1,674 | 1,680 | 1,680 | NONE | null | # What does this PR do?
This PR is still a WIP. This is based on [this issue](https://github.com/huggingface/transformers/issues/21029). The main problem is that when new tokens are added to the tokenizer and text model and learned such as with [textual inversion](https://textual-inversion.github.io/) the clip text mo... | {
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https://api.github.com/repos/huggingface/transformers/issues/21204 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21204/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21204/comments | https://api.github.com/repos/huggingface/transformers/issues/21204/events | https://github.com/huggingface/transformers/issues/21204 | 1,550,193,500 | I_kwDOCUB6oc5cZhNc | 21,204 | Typo in XCLIP model | {
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"@Zhilin123 Thank you for reporting. See #21207. However, note that \r\n\r\n```\r\nALL_PRETRAINED_CONFIG_ARCHIVE_MAP is deprecated and will be removed in v5 of Transformers.\r\n```"
] | 1,674 | 1,674 | 1,674 | NONE | null | ### System Info
transformers version 4.25.1
### Who can help?
@NielsRogge @ydshieh
There's a typo/mismatch for the xclip model pretrained config archive map between https://github.com/huggingface/transformers/blob/main/src/transformers/models/auto/configuration_auto.py#L333
and. https://github.com/hugging... | {
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https://api.github.com/repos/huggingface/transformers/issues/21203 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21203/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21203/comments | https://api.github.com/repos/huggingface/transformers/issues/21203/events | https://github.com/huggingface/transformers/issues/21203 | 1,550,177,424 | I_kwDOCUB6oc5cZdSQ | 21,203 | rename configuration_utils.PretrainedConfig.max_length to max_generation_length | {
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"Thanks for raising an issue. Renaming an argument like this which is so widely used is too breaking a change for us to consider however. ",
"Makes sense. Perhaps there is something that can be done in the mlflow logger instead. I'll raise a different issue if I have any ideas."
] | 1,674 | 1,674 | 1,674 | NONE | null | ### Feature request
Max length (and min length) is an overloaded term. This renaming would help disambiguate this parameter from tokenizer max lengths when parameters are logged.
https://github.com/huggingface/transformers/blob/862888a35834527fed61beaf42373423ffdbd216/src/transformers/configuration_utils.py#L11... | {
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https://api.github.com/repos/huggingface/transformers/issues/21202 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21202/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21202/comments | https://api.github.com/repos/huggingface/transformers/issues/21202/events | https://github.com/huggingface/transformers/issues/21202 | 1,550,121,019 | I_kwDOCUB6oc5cZPg7 | 21,202 | batched feature extraction pipeline for GPT-style models | {
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"cc @Narsil ",
"This one is tricky.\r\nIn general GPT-like models should pad on the left, not on the right, meaning your snippet **should** work.\r\nHowever, there's no telling if everything is properly configured simply. (The pipeline does whatever the config is set to do, it doesn't try to do reasoning on it).\... | 1,674 | 1,677 | 1,677 | NONE | null | ### Feature request
it would be nice to support feature extraction of batched input for GPT-style models using `Pipeline`s
### Motivation
I'm currently trying to generate encodings of a large number of sentences using LLMs. I.e.,:
```python
classification_token_idx: int
fe = pipeline("feature-extraction", model="... | {
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https://api.github.com/repos/huggingface/transformers/issues/21201 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21201/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21201/comments | https://api.github.com/repos/huggingface/transformers/issues/21201/events | https://github.com/huggingface/transformers/pull/21201 | 1,550,066,102 | PR_kwDOCUB6oc5ILEOI | 21,201 | Fix code example in training tutorial | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,674 | 1,674 | 1,674 | MEMBER | null | The Keras [section](https://huggingface.co/docs/transformers/main/en/training#train-a-tensorflow-model-with-keras) of the training tutorial throws an error because it tokenizes `dataset["text"]` instead of `dataset["sentence"]`. There is no `text` column in this dataset. | {
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https://api.github.com/repos/huggingface/transformers/issues/21200 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21200/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21200/comments | https://api.github.com/repos/huggingface/transformers/issues/21200/events | https://github.com/huggingface/transformers/pull/21200 | 1,549,803,144 | PR_kwDOCUB6oc5IKLIN | 21,200 | Fix task summary doctest | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,674 | 1,674 | 1,674 | MEMBER | null | The doctests are failing for the updated task summary page because outputs weren't included in the code examples. This PR adds real inputs that can be pipelined instead of the generic `("path/to/data/file")`. I skipped the `text-generation` pipeline, but let me know if you'd prefer setting a seed for it so we can still... | {
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https://api.github.com/repos/huggingface/transformers/issues/21199 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21199/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21199/comments | https://api.github.com/repos/huggingface/transformers/issues/21199/events | https://github.com/huggingface/transformers/pull/21199 | 1,549,794,414 | PR_kwDOCUB6oc5IKJKB | 21,199 | Remove all hf-internal-testing checkpoints that can be removed | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,674 | 1,674 | 1,674 | COLLABORATOR | null | # What does this PR do?
This PR continues the work on docstrings and removes all checkpoints from the hf-internal-testing org where they can be removed. | {
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https://api.github.com/repos/huggingface/transformers/issues/21198 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21198/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21198/comments | https://api.github.com/repos/huggingface/transformers/issues/21198/events | https://github.com/huggingface/transformers/pull/21198 | 1,549,600,846 | PR_kwDOCUB6oc5IJe-4 | 21,198 | [Whispe] Fix pipeline after timestamp merges | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,674 | 1,674 | 1,674 | COLLABORATOR | null | # What does this PR do?
Fix the ASR pipeline for whisper without timestamps by ensuring the `WhisperTimestampProcessor`is not added to the list of logit processors when it is not requested.
Fixes #21179 | {
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https://api.github.com/repos/huggingface/transformers/issues/21197 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21197/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21197/comments | https://api.github.com/repos/huggingface/transformers/issues/21197/events | https://github.com/huggingface/transformers/pull/21197 | 1,549,474,312 | PR_kwDOCUB6oc5IJDtZ | 21,197 | Flax dtype-dependent numerical masking | {
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"@sgugger this solution was discussed on Slack with the Flax team, hence no added Flax reviewers :)",
"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,674 | 1,674 | 1,674 | MEMBER | null | # What does this PR do?
Fixes #21176
For some models, our Flax numerical masking was incompatible with the desired variable type. This PR fixes it by selecting a numerical mask that is the minimum for the corresponding variable type.
This PR is akin to #17306 for PT. Thank you @LysandreJik and @ydshieh for poi... | {
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https://api.github.com/repos/huggingface/transformers/issues/21196 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21196/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21196/comments | https://api.github.com/repos/huggingface/transformers/issues/21196/events | https://github.com/huggingface/transformers/pull/21196 | 1,549,407,611 | PR_kwDOCUB6oc5II1Q6 | 21,196 | Enabling live `automatic-speech-recognition` asr for Whisper. | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"> LGTM but we could add your script somewhere no? Seems like it was asked\r\n\r\nWhere ? \r\nThe `examples` is more focused on fine-tuning/training. It could be in the docstring of ASR pipeline ( which already contain tons of informa... | 1,674 | 1,674 | 1,674 | CONTRIBUTOR | null | # What does this PR do?
Enables live ASR for Whisper.
Inference is slower for ASR than CTC models though, so these demos come with
come caveat:
**IT will not be live on too small hardware**. Just because it will fall behind
in inference times.
Simplest fix would be to increase the `stream_chunk_s` parameter. That w... | {
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https://api.github.com/repos/huggingface/transformers/issues/21195 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21195/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21195/comments | https://api.github.com/repos/huggingface/transformers/issues/21195/events | https://github.com/huggingface/transformers/pull/21195 | 1,549,276,772 | PR_kwDOCUB6oc5IIYac | 21,195 | Add class properties with warnings | {
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] | 1,674 | 1,674 | 1,674 | COLLABORATOR | null | # What does this PR do?
Adds properties with deprecations warnings to image processors for backwards compatibility. This resolves issues users had when trying to reference a deprecated property e.g. `image_processor.reduce_labels`.
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can di... | {
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https://api.github.com/repos/huggingface/transformers/issues/21194 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21194/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21194/comments | https://api.github.com/repos/huggingface/transformers/issues/21194/events | https://github.com/huggingface/transformers/pull/21194 | 1,549,240,163 | PR_kwDOCUB6oc5IIQUl | 21,194 | Rename GLPN image processor tests | {
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] | 1,674 | 1,674 | 1,674 | COLLABORATOR | null | # What does this PR do?
Renames GLPN feature extractor tests. Missed file in #21140
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/main/CO... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Regardless of anything else, the initialization should always be done in `_init_weights`. This is the reason we have many flaky failures with tests that check slow/fast init give the same results for instance.",
"Thanks everyone fo... | 1,674 | 1,674 | 1,674 | CONTRIBUTOR | null | # What does this PR do?
This PR fixes the issue described in the PR https://github.com/huggingface/transformers/pull/20803 and this comment: https://github.com/huggingface/transformers/pull/20803#discussion_r1059138540 for `CVT`
Before this PR if a user wants to initialize CVT model in half precision with the exa... | {
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https://api.github.com/repos/huggingface/transformers/issues/21192 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21192/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21192/comments | https://api.github.com/repos/huggingface/transformers/issues/21192/events | https://github.com/huggingface/transformers/pull/21192 | 1,549,135,028 | PR_kwDOCUB6oc5IH5EV | 21,192 | Fix device issue in `UperNetModelIntegrationTest` | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,674 | 1,674 | 1,674 | COLLABORATOR | null | # What does this PR do?
Fix device issue in `UperNetModelIntegrationTest`. | {
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https://api.github.com/repos/huggingface/transformers/issues/21191 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21191/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21191/comments | https://api.github.com/repos/huggingface/transformers/issues/21191/events | https://github.com/huggingface/transformers/pull/21191 | 1,549,048,472 | PR_kwDOCUB6oc5IHmMT | 21,191 | Generate: documented function to compute the transition scores | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@sgugger merging as the failing test is a known flaky test (`tests/models/auto/test_modeling_auto.py::AutoModelTest::test_from_pretrained_dynamic_model_distant`)",
"Thanks! This function is super helpful for my use case.",
"OMG, ... | 1,674 | 1,706 | 1,674 | MEMBER | null | # What does this PR do?
Fixes #18616; Addresses comments in #5164, #20008 (and in a few other issues that I've lost track of).
## The issue
A few users would like to have a simple function to obtain the transition scores (i.e. the logits for each selected token at generate time). This is very useful for explor... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_21190). All of your documentation changes will be reflected on that endpoint."
] | 1,674 | 1,674 | 1,674 | COLLABORATOR | null | # What does this PR do?
Update year 2020 to 2023 for a single file | {
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https://api.github.com/repos/huggingface/transformers/issues/21189 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21189/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21189/comments | https://api.github.com/repos/huggingface/transformers/issues/21189/events | https://github.com/huggingface/transformers/pull/21189 | 1,549,009,984 | PR_kwDOCUB6oc5IHds2 | 21,189 | workaround documentation rendering bug | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,674 | 1,674 | 1,674 | CONTRIBUTOR | null | # What does this PR do?
In the doc comments for a number of our models, the following occurs:
```text
pad_to_multiple_of: (optional) Integer if set will pad the sequence to a multiple of the provided value.
This is especially useful to enable the use of Tensor Core on NVIDIA hardware with compute capability... | {
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https://api.github.com/repos/huggingface/transformers/issues/21188 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21188/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21188/comments | https://api.github.com/repos/huggingface/transformers/issues/21188/events | https://github.com/huggingface/transformers/pull/21188 | 1,548,993,837 | PR_kwDOCUB6oc5IHaJ_ | 21,188 | hertz is already per second | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,674 | 1,674 | 1,674 | CONTRIBUTOR | null | # What does this PR do?
Small documentation update. The sampling rate was described as "Hertz per second", but hertz (usually not capitalized) already means per second.
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https://api.github.com/repos/huggingface/transformers/issues/21187 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21187/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21187/comments | https://api.github.com/repos/huggingface/transformers/issues/21187/events | https://github.com/huggingface/transformers/pull/21187 | 1,548,914,776 | PR_kwDOCUB6oc5IHIw5 | 21,187 | [Whisper] Fix timestamp processor | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_21187). All of your documentation changes will be reflected on that endpoint.",
"Tested with a concatenated librispeech (clean, test, 5.4 hours), took 393.1348168849945 seconds, and with a WER 0.030776774096215136. So in th... | 1,674 | 1,674 | 1,674 | COLLABORATOR | null |
# What does this PR do?
Mostly adds condition when looking in the past and in the futur based on timing information.
Fixes the tests | {
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https://api.github.com/repos/huggingface/transformers/issues/21186 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21186/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21186/comments | https://api.github.com/repos/huggingface/transformers/issues/21186/events | https://github.com/huggingface/transformers/pull/21186 | 1,548,787,087 | PR_kwDOCUB6oc5IGs7X | 21,186 | Add Japanese translation index.mdx | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@ArthurZucker could you have a look?",
"Thanks a lot for this 🚀 "
] | 1,674 | 1,674 | 1,674 | CONTRIBUTOR | null | # What does this PR do?
Adds Japanese translation to index.mdx
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