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https://api.github.com/repos/huggingface/transformers/issues/18876 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18876/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18876/comments | https://api.github.com/repos/huggingface/transformers/issues/18876/events | https://github.com/huggingface/transformers/issues/18876 | 1,360,727,372 | I_kwDOCUB6oc5RGw1M | 18,876 | BigBirdTokenizer Serialization Error on Spark | {
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"Hey @jmwoloso Thank you for reporting the issue. I have a few questions though: I see there is [fast big_bird tokenizer](https://github.com/huggingface/transformers/blob/main/src/transformers/models/big_bird/tokenization_big_bird_fast.py) in `transformers`. Have you tried it?",
"Hi @ydshieh. No I havne't tried ... | 1,662 | 1,664 | 1,664 | CONTRIBUTOR | null | ### System Info
Hello! Running `transformers-cli env` throws the following error for me on the databricks cluster that I'm using currently (but it works locally).
```python
/databricks/conda/envs/default/lib/python3.8/site-packages/requests/__init__.py:89: RequestsDependencyWarning: urllib3 (1.26.10) or chardet ... | {
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https://api.github.com/repos/huggingface/transformers/issues/18875 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18875/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18875/comments | https://api.github.com/repos/huggingface/transformers/issues/18875/events | https://github.com/huggingface/transformers/pull/18875 | 1,360,725,340 | PR_kwDOCUB6oc4-Tyzy | 18,875 | Disable model checkpoint sharding of large models for SageMaker Model Parallel | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"cc @philschmid ",
"Ok, sounds good! I opened a new PR with changes in Trainer instead. #18928 "
] | 1,662 | 1,662 | 1,662 | CONTRIBUTOR | null | Disable model checkpoint sharding of large models for SageMaker Model Parallel
* SageMaker Model Parallel does not support loading these
# What does this PR do?
This PR disables the automatic model checkpoint sharding done in `PreTrainedModel` for SageMaker Model Parallel as SMP does not support loading these.
... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Hi @patrickvonplaten - please review this one when you get some time.",
"Nice!"
] | 1,662 | 1,664 | 1,664 | CONTRIBUTOR | null | # What does this PR do?
<!--
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Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
Then, please replace this w... | {
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"@logan-markewich -- have a look at this [entry in our forum](https://discuss.huggingface.co/t/bpe-tokenizers-and-spaces-before-words/475/2?u=joaogante)",
"@gante Yea ok, that gives some context for what is actually going on\r\n\r\nI guess I will just need to remove those characters myself? A little annoying, but... | 1,662 | 1,663 | 1,663 | NONE | null | ### System Info
(This is on a fresh google colab instance)
- `transformers` version: 4.21.2
- Platform: Linux-5.4.188+-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.7.13
- Huggingface_hub version: 0.9.1
- PyTorch version (GPU?): 1.12.1+cu113 (True)
- Tensorflow version (GPU?): 2.8.2 (True)
- Flax versio... | {
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"Hey @leiqing1 ! Thanks a lot for being motivated to contribute 🤗 ! You mention this is about training, right? In this case, I would say `huggingface/transformers` is the place to go. But let's wait the opinions from my colleagues @sgugger @LysandreJik and @michaelbenayoun\r\n\r\nAs the training (for PyTorch model... | 1,662 | 1,665 | 1,665 | NONE | null | ### Feature request
Hello, we have done a Source-Free compression training function, and the benefits of bert-base-cased are as follows. I want to submit a PR, is it ok? and which repo, huggingface/transformers or huggingface/optimum, is more suitable?
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"_The documentation is not available anymore as the PR was closed or merged._",
"and also cc @Wauplin :)",
"Yes, my plan was to port this to `hugginface_hub` next, along with the commi_hash argument (which does not exist there yet), to then be able to use the function of `huggingface_hub` after the next release... | 1,662 | 1,662 | 1,662 | COLLABORATOR | null | # What does this PR do?
This PR completes #18534 and leverages the cache system of files that do not exist at a given commit in a repo introduced in the last release of `huggingface_hub` (by this [PR](https://github.com/huggingface/huggingface_hub/pull/986)) to further reduce the numbers of calls to the API when try... | {
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https://api.github.com/repos/huggingface/transformers/issues/18870 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18870/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18870/comments | https://api.github.com/repos/huggingface/transformers/issues/18870/events | https://github.com/huggingface/transformers/issues/18870 | 1,360,296,809 | I_kwDOCUB6oc5RFHtp | 18,870 | mlflow can log a maximum of 100 parameters on Azure ML | {
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"Note that we are not maintaining the external logging platforms ourselves, their creators are supposed to do this work. Since there is no one in Microsoft that is pushing this forward, some community contributed callbacks have been created, but it's not guaranteed that they work. I would recommend using other trac... | 1,662 | 1,665 | 1,662 | CONTRIBUTOR | null | When trying to use the Trainer's mlflow integration within Azure ML, it will fail at the `on_train_begin` callback because it tries to log all of the TrainingArguments and the model config which will total more than 100 parameters.
> RestException: INVALID_PARAMETER_VALUE: Response: {'Error': {'Code': 'ValidationEr... | {
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https://api.github.com/repos/huggingface/transformers/issues/18869 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18869/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18869/comments | https://api.github.com/repos/huggingface/transformers/issues/18869/events | https://github.com/huggingface/transformers/pull/18869 | 1,360,277,146 | PR_kwDOCUB6oc4-SU6h | 18,869 | pin Slack SDK to 3.18.1 to avoid failing issue | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,662 | 1,662 | 1,662 | COLLABORATOR | null | # What does this PR do?
Currently CI Slack reports failed to be sent due to an error
```bash
The server responded with: {'ok': False, 'error': 'invalid_blocks_format'}
```
It happens since `slack-sdk-3.18.2`. This PR pin `slack-sdk-3.18.1` so we can receive the reports. | {
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] | 1,662 | 1,662 | 1,662 | COLLABORATOR | null | # What does this PR do?
- The test
```
tests/deepspeed/test_deepspeed.py::TrainerIntegrationDeepSpeed::test_hf_scheduler_ds_optimizer
```
failed since 2 weeks due to some cache issue. The error message is
```bash
E ImportError: /github/home/.cache/torch_extensions/py38_cu113/fused_adam/fused_adam... | {
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] | 1,662 | 1,662 | 1,662 | CONTRIBUTOR | null | # What does this PR do?
This PR moves OWL-ViT to the "multimodal" section in the docs, as the model isn't vision-only.
cc @stevhliu | {
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- Related Issue
#18827
@stas00
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] | 1,662 | 1,662 | 1,662 | COLLABORATOR | null | # What does this PR do?
This script is helpful for the past CI project. It downloads all artifacts from a workflow run, and get the error statistics + the corresponding failing tests.
`errors.json`: the places where error occur + what those errors are
`failed_tests.json`: which test methods failed (can be used... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,662 | 1,662 | 1,662 | MEMBER | null | # What does this PR do?
Fixes naming issue with the Image2TextGenerationPipeline: naming was not consistent with other libraries.
See [this message](https://huggingface.slack.com/archives/C014N4749J9/p1662091141349169?thread_ts=1662048034.910319&cid=C014N4749J9).
## Before submitting
- [ ] This PR fixes a typo... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues that do not follow the [contributing gu... | 1,662 | 1,664 | 1,664 | CONTRIBUTOR | null | # What does this PR do?
alter 'retrived' to 'retrieved'
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"You can subclass the Seq2SeqTrainer and override the [_get_train_sampler](https://github.com/huggingface/transformers/blob/8d59385f124dd1b330cac7eaa7162799870793ec/src/transformers/trainer.py#L759) method. Instead of creating a RandomSampler object, create a [SequentialSampler](https://pytorch.org/docs/stable/data... | 1,662 | 1,667 | 1,667 | NONE | null | ### Feature request
I want to train model in the order in which the data are stored.
For example, if there are 100 data, then I want to feed 1st, 2nd data together(because I set batch_size=2 in code) and then 3rd, 4th data and then 5th, 6th data together and so on....
But huggingface Trainer train model using ... | {
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] | 1,662 | 1,662 | 1,662 | CONTRIBUTOR | null | Fixes #18860
@sgugger
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- `transformers` version: 4.21.1
- Platform: Linux-5.15.0-46-generic-x86_64-with-glibc2.35
- Python version: 3.10.5
- Huggingface_hub version: 0.8.1
- PyTorch version (GPU?): 1.12.1.post200 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
... | {
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https://api.github.com/repos/huggingface/transformers/issues/18859 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18859/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18859/comments | https://api.github.com/repos/huggingface/transformers/issues/18859/events | https://github.com/huggingface/transformers/pull/18859 | 1,359,557,249 | PR_kwDOCUB6oc4-P8Tb | 18,859 | [modeling_utils] postpone bnb loading until and if it's needed | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"actually the problem was much more severe - before this PR on a machine with no gpu, it lead to this huge crash:\r\n\r\n```\r\npython -c \"from transformers import AutoModel, AutoTokenizer, AutoConfig; AutoModel.from_pretrained('gpt2... | 1,662 | 1,662 | 1,662 | CONTRIBUTOR | null | BNB shouldn't be loaded unless it's actually used - definitely not by used-everywhere `modeling_utils.py`:
The following shouldn't (1) generate all this noise and (2) use up memory and resources w/o an actual need:
```
$ python -c "from transformers import BloomModel"
===================================BUG REPO... | {
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This PR uses the newly released version of `hugginface_hub` to clean up a few things introduced in #18438 (points 1 and 2 in the description of this PR). For point 3 (load from cache) there is currently a difference between Transformers' `try_to_load_from_cache` and the huggingface_hub's one,... | {
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] | 1,662 | 1,662 | 1,662 | COLLABORATOR | null | # What does this PR do?
As pointed out in #18608, `IterableDatasetShard.num_examples` is not always update in multiprocessing environments. This PR addresses that by ignoring the value in those cases. It also adds a stronger check of trusting the observed number of examples when for the reason the length is 0.
Fi... | {
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] | 1,662 | 1,662 | 1,662 | COLLABORATOR | null | # What does this PR do?
#18676 fixed the weights tying in `run_mlm_no_trainer` but not in `run_clm_no_trainer`. This PR fixes that. | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,662 | 1,662 | 1,662 | CONTRIBUTOR | null | # What does this PR do?
The newly introduced tests for `LayoutLMForQuestionAnswering` and `TFLayoutLMForQuestionAnswering` broke due to a change to the weights in https://huggingface.co/impira/layoutlm-document-qa. To make sure a weights change does not break tests, I've pinned the revisions in these tests. I'll sep... | {
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"I don't see the issue here, it is just telling you that the weights of the text encoder aren't used. Which makes total sense as you are loading only the vision encoder, whose weights are all loaded properly.\r\n\r\nIt's a warning, not an error, so I'm not sure whether this can be improved.",
"Oh sorry, my bad, t... | 1,662 | 1,662 | 1,662 | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.12.5
- Platform: Linux-4.18.0-305.57.1.el8_4.x86_64-x86_64-with-redhat-8.4-Ootpa
- Python version: 3.7.11
- PyTorch version (GPU?): 1.10.0+cu102 (False)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: n... | {
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https://api.github.com/repos/huggingface/transformers/issues/18852 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18852/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18852/comments | https://api.github.com/repos/huggingface/transformers/issues/18852/events | https://github.com/huggingface/transformers/pull/18852 | 1,358,753,716 | PR_kwDOCUB6oc4-NNC5 | 18,852 | Add X-CLIP | {
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"Many tests fail due to the following error:\r\n\r\n> ModuleNotFoundError: No module named 'transformers.models.xclip'\r\n\r\nThis is probably because I first called the model folder \"xclip\", which is now called \"x_clip\". Still, wondering why it keeps looking for the module models.clip. If anyone has any pointe... | 1,662 | 1,662 | 1,662 | CONTRIBUTOR | null | # What does this PR do?
This PR adds [X-CLIP](https://github.com/microsoft/VideoX/tree/master/X-CLIP), which is a minimal extension of CLIP for video-language pre-training.
To do:
- [x] upload all checkpoints to the hub, as part of the `microsoft` organization
| {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,662 | 1,662 | 1,662 | MEMBER | null | # What does this PR do?
Fixes #18839
We were not storing the correct beam index when an `eos_token` was generated (except for the first batch member), resulting in the issue linked above.
________________________________
Confirming the change -- let's consider the following script, which gets the scores fr... | {
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https://api.github.com/repos/huggingface/transformers/issues/18850 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18850/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18850/comments | https://api.github.com/repos/huggingface/transformers/issues/18850/events | https://github.com/huggingface/transformers/pull/18850 | 1,358,579,308 | PR_kwDOCUB6oc4-MnHw | 18,850 | [ViTMAE] Renamed variable name | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Tagging @NielsRogge, as he's the vision master 👨🏫 ",
"Just a reminder here!",
"(Niels it currently off, he'll be back in a few days :) )",
"FYI, I took this from the original repository: https://github.com/facebookresearch/m... | 1,662 | 1,665 | 1,665 | CONTRIBUTOR | null | The `sequence_masked` variable is actually the part of the sequence that is kept **unmasked** for the encoder to consume. This commit renames the variable accordingly.
CC: @sayakpaul | {
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https://api.github.com/repos/huggingface/transformers/issues/18849 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18849/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18849/comments | https://api.github.com/repos/huggingface/transformers/issues/18849/events | https://github.com/huggingface/transformers/issues/18849 | 1,358,533,502 | I_kwDOCUB6oc5Q-ZN- | 18,849 | BartForSequenceClassification: Use eos_token or cls_token? | {
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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... | 1,662 | 1,665 | 1,665 | CONTRIBUTOR | null | ### System Info
NA
### Who can help?
@patil-suraj
### Information
- [X] 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)
### Reproduction... | {
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https://api.github.com/repos/huggingface/transformers/issues/18848 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18848/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18848/comments | https://api.github.com/repos/huggingface/transformers/issues/18848/events | https://github.com/huggingface/transformers/pull/18848 | 1,358,470,359 | PR_kwDOCUB6oc4-MP2m | 18,848 | Fix minor typo in prose of model outputs documentation | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,662 | 1,662 | 1,662 | MEMBER | null | # What does this PR do?
Fixes a very minor typo in the documentation of the model outputs section.
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](https://github.com/huggingface/transformer... | {
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https://api.github.com/repos/huggingface/transformers/issues/18847 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18847/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18847/comments | https://api.github.com/repos/huggingface/transformers/issues/18847/events | https://github.com/huggingface/transformers/issues/18847 | 1,358,430,543 | I_kwDOCUB6oc5Q-AFP | 18,847 | Cannot import OPTForSequenceClassification on Kaggle notebooks (transformers 4.20.1, huggingface_hub 0.8.1) | {
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"Hey @navinelahi, this class was released in v4.21; could you upgrade your `transformers` library`?",
"Yes I upgraded with `pip install transformers==4.21` and now it's working. Thank you so much. The issue is solved"
] | 1,662 | 1,662 | 1,662 | NONE | null | ### System Info
- `transformers` version: 4.20.1
- Platform: Linux-5.10.133+-x86_64-with-debian-bullseye-sid
- Python version: 3.7.12
- Huggingface_hub version: 0.8.1
- PyTorch version (GPU?): 1.11.0 (True)
- Tensorflow version (GPU?): 2.6.4 (True)
- Flax version (CPU?/GPU?/TPU?): 0.6.0 (gpu)
- Jax version: 0.3... | {
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https://api.github.com/repos/huggingface/transformers/issues/18846 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18846/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18846/comments | https://api.github.com/repos/huggingface/transformers/issues/18846/events | https://github.com/huggingface/transformers/pull/18846 | 1,358,255,067 | PR_kwDOCUB6oc4-LiKU | 18,846 | Unpin fsspec | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,662 | 1,662 | 1,662 | MEMBER | null | # What does this PR do?
The `fsspec` team has made a patch release (2022.8.2) to fix their issue:
- fsspec/filesystem_spec#1032
They yanked both 2022.8.0 and 2022.8.1, so no need to pin to exclude them.
Follows:
- #18837
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https://api.github.com/repos/huggingface/transformers/issues/18845 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18845/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18845/comments | https://api.github.com/repos/huggingface/transformers/issues/18845/events | https://github.com/huggingface/transformers/pull/18845 | 1,358,161,072 | PR_kwDOCUB6oc4-LN-w | 18,845 | Remove dropout in embedding layer of OPT | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thanks for your PR @shijie-wu! Pinging @ArthurZucker and @younesbelkada to take a look at this as soon as they're back from leave (in about a week's time)."
] | 1,661 | 1,662 | 1,662 | CONTRIBUTOR | null | # What does this PR do?
Fixes https://github.com/huggingface/transformers/issues/18844
## 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/mai... | {
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] | closed | false | null | [] | [] | 1,661 | 1,662 | 1,662 | CONTRIBUTOR | null | ### System Info
main
### Who can help?
@ArthurZucker, @patrickvonplaten, @LysandreJik
### Information
- [X] The official example scripts
- [X] My own modified scripts
### Tasks
- [X] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [X] My own task or dataset (give details below)
... | {
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https://api.github.com/repos/huggingface/transformers/issues/18843 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18843/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18843/comments | https://api.github.com/repos/huggingface/transformers/issues/18843/events | https://github.com/huggingface/transformers/pull/18843 | 1,358,142,760 | PR_kwDOCUB6oc4-LKEN | 18,843 | fix arg name in BLOOM testing and remove unused arg document | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thank you for the fix, @shijie-wu \r\n\r\nWrt `use_cache` won't it be better to actually set the default to `True` - most models have it set to `True` and most users will get bad peformance out of the box with the default during `gen... | 1,661 | 1,663 | 1,663 | CONTRIBUTOR | null | # What does this PR do?
* Fix argument name in BLOOM testing (`hidden_dropout` and `attention_dropout`)
* Remove document of unused arguments (`skip_bias_add`, `skip_bias_add_qkv` and `attn_pdrop`)
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@ArthurZucker I am not sure who is the owner of the models repo but the following PRs also need to be merged.\r\n\r\n> \r\n> https://huggingface.co/facebook/opt-125m/discussions/19\r\n> https://huggingface.co/facebook/opt-350m/discus... | 1,661 | 1,663 | 1,662 | CONTRIBUTOR | null | # What does this PR do?
Fixes https://github.com/huggingface/transformers/issues/18309
PR for corresponding models
* https://huggingface.co/facebook/opt-125m/discussions/19
* https://huggingface.co/facebook/opt-350m/discussions/5
* https://huggingface.co/facebook/opt-1.3b/discussions/7
* https://huggingface.c... | {
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https://api.github.com/repos/huggingface/transformers/issues/18840 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18840/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18840/comments | https://api.github.com/repos/huggingface/transformers/issues/18840/events | https://github.com/huggingface/transformers/pull/18840 | 1,357,823,191 | PR_kwDOCUB6oc4-KC9f | 18,840 | Generate: smaller TF serving test | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,661 | 1,662 | 1,662 | MEMBER | null | # What does this PR do?
`tests/test_modeling_tf_common.py::UtilsFunctionsTest::test_generate_tf_function_export` is often failing because it times out (>60s).
The previous version took ~35s in my machine. This PR's takes ~19s, which may avoid the time out issue.
If it still fails, a custom config must be added... | {
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https://api.github.com/repos/huggingface/transformers/issues/18839 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18839/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18839/comments | https://api.github.com/repos/huggingface/transformers/issues/18839/events | https://github.com/huggingface/transformers/issues/18839 | 1,357,599,096 | I_kwDOCUB6oc5Q61F4 | 18,839 | BUG for beam_indices from model.generate() | {
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"Also, could you please check this ? https://discuss.huggingface.co/t/larger-sum-logits-larger-sum-probability/22358",
"Also cc @gante for `generate` :)",
"Hey @Hannibal046 👋 Thank you so much for raising this issue, there was indeed a problem with the last beam index for all batches except the first one!\r\n\... | 1,661 | 1,662 | 1,662 | NONE | null | ### System Info
- `transformers` version: 4.22.0.dev0
- Platform: Linux-5.8.0-51-generic-x86_64-with-glibc2.10
- Python version: 3.8.13
- Huggingface_hub version: 0.8.1
- PyTorch version (GPU?): 1.12.1+cu113 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (... | {
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https://api.github.com/repos/huggingface/transformers/issues/18838 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18838/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18838/comments | https://api.github.com/repos/huggingface/transformers/issues/18838/events | https://github.com/huggingface/transformers/pull/18838 | 1,357,588,633 | PR_kwDOCUB6oc4-JQsZ | 18,838 | Skip XNLI test | {
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"Preceded by https://github.com/huggingface/transformers/pull/18837",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_18838). All of your documentation changes will be reflected on that endpoint."
] | 1,661 | 1,661 | 1,661 | MEMBER | null | Skips an XNLI test that currently fails due to https://github.com/fsspec/filesystem_spec/issues/1034 | {
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https://api.github.com/repos/huggingface/transformers/issues/18837 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18837/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18837/comments | https://api.github.com/repos/huggingface/transformers/issues/18837/events | https://github.com/huggingface/transformers/pull/18837 | 1,357,586,551 | PR_kwDOCUB6oc4-JQQH | 18,837 | Pin ffspec | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,661 | 1,661 | 1,661 | COLLABORATOR | null | # What does this PR do?
The recent test failures on XLNI are due to a release of ffspec. This PR excludes the problematic version to avoid the test failures. | {
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https://api.github.com/repos/huggingface/transformers/issues/18836 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18836/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18836/comments | https://api.github.com/repos/huggingface/transformers/issues/18836/events | https://github.com/huggingface/transformers/issues/18836 | 1,357,391,509 | I_kwDOCUB6oc5Q6CaV | 18,836 | Input_embeds for Albert | {
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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... | 1,661 | 1,665 | 1,665 | NONE | null | Hello! I am checking the source codes for Albert's inputs_embeds. But I think the open sourced codes do not match with the document:
In the document, the description for inputs_embeds says that the shape should be the of shape (batch_size, sequence_length, hidden_size).
But in the source codes(https://huggingface... | {
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https://api.github.com/repos/huggingface/transformers/issues/18835 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18835/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18835/comments | https://api.github.com/repos/huggingface/transformers/issues/18835/events | https://github.com/huggingface/transformers/issues/18835 | 1,357,337,280 | I_kwDOCUB6oc5Q51LA | 18,835 | Adding multiprocessing option to transformers.pipelines.automatic_speech_recognition | {
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"WDYT @Narsil?",
"Hi, I don't mind having a parameter for that for sure.\r\n\r\nThe biggest reason I don't think it should be the defaults is that some users might already be using different processes for different pipelines so doing parallelism twice is usually hurtful.\r\n\r\nAlso, do you mind providing small b... | 1,661 | 1,665 | 1,665 | NONE | null | ### Feature request
Hi,
in `transformers.pipelines.automatic_speech_recognition` in case of `self.type = ctc_wit_lm`, the `postprocess` method uses `self.decoder.decode_beams(items)`. This is too slow and does decoding iterative.
`decoder.decode_beams_batch(pool,items)` is able to make things faster and pharallel... | {
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https://api.github.com/repos/huggingface/transformers/issues/18834 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18834/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18834/comments | https://api.github.com/repos/huggingface/transformers/issues/18834/events | https://github.com/huggingface/transformers/pull/18834 | 1,357,308,977 | PR_kwDOCUB6oc4-IUm_ | 18,834 | Fix add model like | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_18834). All of your documentation changes will be reflected on that endpoint."
] | 1,661 | 1,661 | 1,661 | MEMBER | null | It seems that `pip show` does not return the same location as before for editable packages.
However, listing editable packages (`pip list -e`) returns the correct location in which it was installed. Doing it locally returns the following:
```
Package Version Editable project location
------------ -----... | {
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https://api.github.com/repos/huggingface/transformers/issues/18833 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18833/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18833/comments | https://api.github.com/repos/huggingface/transformers/issues/18833/events | https://github.com/huggingface/transformers/pull/18833 | 1,357,284,504 | PR_kwDOCUB6oc4-IPZZ | 18,833 | TF: TFMarianMTModel final logits bias as a layer | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@gante Thanks a lot. It looks like it works well!\r\n\r\nHowever, there is one thing I don't understand quite well.\r\n\r\n\r\n```bash\r\n(Pdb) [x.name for x in model.non_trainable_weights]\r\n['final_logits_bias:0']\r\n```\r\nand th... | 1,661 | 1,662 | 1,662 | MEMBER | null | # What does this PR do?
Fixes #18802
As stated in the issue above, `final_logits_bias` in `TFMarianMTModel` are not being loaded at `from_pretrained(...)` time. The PT model has this variable defined, and thus the outputs of the model in the two frameworks are very different (>1e-1).
Actually, these weights a... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"The change regarding having a new argument `state_dict` in the nested function `load` is to pass black check, otherwise we get \r\n\r\n```bash\r\nsrc/transformers/modeling_utils.py:422:17: F821 undefined name 'state_dict'\r\n```\r\nw... | 1,661 | 1,662 | 1,662 | COLLABORATOR | null | # What does this PR do?
Fix #18782.
Note that this is not a real memory issue. A call to `gc.collect()` at the end of `from_pretrained()` works well too.
However this PR finds and simply `del state_dict` at the end of `_load_state_dict_into_model()`, and `GC` is able to perform housekeeping on its own at a ear... | {
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https://api.github.com/repos/huggingface/transformers/issues/18831 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18831/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18831/comments | https://api.github.com/repos/huggingface/transformers/issues/18831/events | https://github.com/huggingface/transformers/issues/18831 | 1,357,140,460 | I_kwDOCUB6oc5Q5FHs | 18,831 | Add support for open_clip | {
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"(Is the \"new model\" tag adequate here or it would be considered adapting to the existing CLIP model?) ",
"cc'ing @patil-suraj. From the README, it seems that they replaced OpenAI's `quickgelu` with `torch.nn.GELU`, which is apparently better.\r\n\r\nNormally the strategy is to add a new model, no matter how sm... | 1,661 | 1,671 | 1,666 | NONE | null | ### Feature request
Add `open_clip` (https://github.com/mlfoundations/open_clip) support to Transformers
### Motivation
open_clip has released ViT-B-32, ViT-B/16, ViT-B/16+, ViT-L/14 trained on LAION-400M and LAION-2B which are very relevant models - matching and sometimes surpassing OAI models benchmarks - b... | {
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https://api.github.com/repos/huggingface/transformers/issues/18830 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18830/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18830/comments | https://api.github.com/repos/huggingface/transformers/issues/18830/events | https://github.com/huggingface/transformers/issues/18830 | 1,356,988,567 | I_kwDOCUB6oc5Q4gCX | 18,830 | ValueError: Unknown layer: Custom>TFViTMainLayer when using a Google transformer model in Streamlit | {
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"here is the link to model_vit.h5 https://drive.google.com/file/d/1ASXJ6-QVxV7W-rVUV57pUy5sYK1BokZ4/view?usp=sharing",
"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 ... | 1,661 | 1,691 | 1,665 | NONE | null | ### System Info
transformers == 4.21.1
tensorflow == 2.9.1
streamlit ==1.11.1
Windows 10
### Who can help?
@Rocketknight1 @NielsRogge
### Information
- [ ] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as ... | {
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https://api.github.com/repos/huggingface/transformers/issues/18829 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18829/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18829/comments | https://api.github.com/repos/huggingface/transformers/issues/18829/events | https://github.com/huggingface/transformers/pull/18829 | 1,356,982,515 | PR_kwDOCUB6oc4-HOYd | 18,829 | follow layoutlmv3 to avoid device error | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_18829). All of your documentation changes will be reflected on that endpoint.",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please... | 1,661 | 1,665 | 1,665 | CONTRIBUTOR | null | # What does this PR do?
Slightly modify the way that we calculate the height and width embeddings for LayoutLMv2. The calculation is simply same as LayoutLMv3 to avoid the device-assert error when we run experiments on GPU.
https://github.com/huggingface/transformers/blob/main/src/transformers/models/layoutlmv3/... | {
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https://api.github.com/repos/huggingface/transformers/issues/18828 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18828/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18828/comments | https://api.github.com/repos/huggingface/transformers/issues/18828/events | https://github.com/huggingface/transformers/issues/18828 | 1,356,704,120 | I_kwDOCUB6oc5Q3al4 | 18,828 | Add a vit-based ocr model to hugging face | {
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"Sure, do you have an email address? We can set up a slack channel for easier communication ",
"Yes, my email address is wdp0072012@gmail.com.\r\nDo I need to register for slack in advance?",
"You should have received an invite by email :)"
] | 1,661 | 1,678 | 1,678 | CONTRIBUTOR | null | ### Model description
We want to add MGPSTR model(ECCV 2022) to hugging face.
MGPSTR is a ViT(Vision Transformer)-based pure vision model for STR, which shows its superiority in recognition accuracy. It has a Multi-Granularity Prediction (MGP) strategy to inject information from the language modality. MGPSTR algorit... | {
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https://api.github.com/repos/huggingface/transformers/issues/18827 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18827/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18827/comments | https://api.github.com/repos/huggingface/transformers/issues/18827/events | https://github.com/huggingface/transformers/issues/18827 | 1,356,616,300 | I_kwDOCUB6oc5Q3FJs | 18,827 | [HF Trainer] [new optimizer] add `AnyPrecisionAdamW` (bf16) | {
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"Hello, I'll like to be assigned to this issue. ",
"Yes, please, @Zeesky-code - once you have a working PR please tag me there.\r\n\r\nThank you!",
"No longer working on this issue and it's now open to the community.\r\nThank you :)\r\n\r\n> Hello, I'll like to be assigned to this issue.\r\n\r\n",
"Hi, may I ... | 1,661 | 1,676 | 1,676 | CONTRIBUTOR | null | ### Feature request
pytorch just merged https://github.com/pytorch/torchdistx/pull/52, which adds `AnyPrecisionAdamW` (bf16-support, and future new dtypes)
we should add it to our HF Trainer arsenal
This is open to the community - it shouldn't be too difficult to add by just checking the existing optimizers. ... | {
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https://api.github.com/repos/huggingface/transformers/issues/18826 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18826/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18826/comments | https://api.github.com/repos/huggingface/transformers/issues/18826/events | https://github.com/huggingface/transformers/issues/18826 | 1,356,435,348 | I_kwDOCUB6oc5Q2Y-U | 18,826 | Examples do not seem to work on any spaces right now (possible downtime?) | {
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"Hey @ankrgyl! I tried using them a few seconds ago and it seems to work; is the issue still happening from your side? It may have been a transient error.",
"It wasn't working until around 11:15 PM PST, at which point the website seem to have reset (see screenshot below) and ~10 minutes later, it started working.... | 1,661 | 1,662 | 1,662 | CONTRIBUTOR | null | ### System Info
This is observed online on spaces:
E.g. https://huggingface.co/spaces/nielsr/donut-docvqa, if you click any of the examples, you see
Similarly, https://hug... | {
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https://api.github.com/repos/huggingface/transformers/issues/18825 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18825/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18825/comments | https://api.github.com/repos/huggingface/transformers/issues/18825/events | https://github.com/huggingface/transformers/issues/18825 | 1,356,379,618 | I_kwDOCUB6oc5Q2LXi | 18,825 | Wav2Vec2ProcessorWithLM in pipeline issue | {
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"Hi @anderleich,\r\n\r\nI am encountering the same issue when I try to use the AutomaticSpeechRecognitionPipeline in combination with a Languague Model. Have you been able to find a solution? I've tracked the issue down to the same lines of code as you, I cannot get self.type to evaluate to \"ctc_with_lm\" with the... | 1,661 | 1,690 | 1,690 | NONE | null | Opening a new issue for better tracking purposes. This issue follows: https://github.com/huggingface/transformers/issues/16759
> Hey @gxbag,
>
> Please make sure to provide a reproducible code snippet. I cannot run the above snippet because I don't have access to `"language_model/vocabulary.txt"`.
>
> Regardin... | {
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https://api.github.com/repos/huggingface/transformers/issues/18824 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18824/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18824/comments | https://api.github.com/repos/huggingface/transformers/issues/18824/events | https://github.com/huggingface/transformers/issues/18824 | 1,356,161,125 | I_kwDOCUB6oc5Q1WBl | 18,824 | model with longformer encoder cannot be saved due to OperatorNotAllowedInGraphError | {
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"@rdisipio I tried to reproduce this error, But I was able to save model. I followed [this](https://huggingface.co/docs/transformers/model_doc/longformer#transformers.TFLongformerForTokenClassification.call.example) example to build a simple model. Can you add some steps to reproduce this bug ? ",
"This issue h... | 1,661 | 1,665 | 1,665 | NONE | null | ### System Info
- `transformers` version: 4.21.2
- Platform: Linux-5.10.102-99.473.amzn2.x86_64-x86_64-with-glibc2.10 (AWS SageMaker)
- Python version: 3.8.12
- Huggingface_hub version: 0.9.1
- PyTorch version (GPU?): not installed (NA)
- Tensorflow version (GPU?): 2.9.1 (True)
- Flax version (CPU?/GPU?/TPU?):... | {
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https://api.github.com/repos/huggingface/transformers/issues/18823 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18823/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18823/comments | https://api.github.com/repos/huggingface/transformers/issues/18823/events | https://github.com/huggingface/transformers/issues/18823 | 1,356,105,373 | I_kwDOCUB6oc5Q1Iad | 18,823 | Memory is not released when moving model to CUDA | {
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"Pinging the king of memory, @ydshieh :raised_hands: ",
"Hi @piEsposito \r\n\r\nAs I have seen quite a few times `torch` has some of its own memory management, and related memory issues, it would be great if you can provide and example that creates a (big enough) PyTorch models (not from `transformers`) on CPU, s... | 1,661 | 1,661 | 1,661 | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.21.0
- Platform: Linux-5.4.188+-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.7.13
- Huggingface_hub version: 0.9.1
- PyTorch version (GPU?): 1.12.1+cu113 (True)
- Tensorflow version (GPU?): 2.8.2 (True)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax ... | {
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https://api.github.com/repos/huggingface/transformers/issues/18822 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18822/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18822/comments | https://api.github.com/repos/huggingface/transformers/issues/18822/events | https://github.com/huggingface/transformers/pull/18822 | 1,356,035,026 | PR_kwDOCUB6oc4-D9PU | 18,822 | add a script to get time info. from GA workflow jobs | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Yes, I will move it to `utils`."
] | 1,661 | 1,662 | 1,662 | COLLABORATOR | null | # What does this PR do?
As we might need to get the running time for workflow jobs again in the future, here is a simple script. It's probably better to move to the directory `utils`. I put it under `.github/scripts/` to emphasize this is really for GitHub Actions only.
The output looks like
```bash
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"_The documentation is not available anymore as the PR was closed or merged._",
"cc @mishig25, the inference widgets for models like TrOCR, Donut, [image captioning](https://huggingface.co/nlpconnect/vit-gpt2-image-captioning) can now be created! 🥳 "
] | 1,661 | 1,662 | 1,662 | MEMBER | null | # What does this PR do?
Add Image To Text Generation pipeline. The pipeline currently defaults to [nlpconnect/vit-gpt2-image-captioning](https://huggingface.co/nlpconnect/vit-gpt2-image-captioning).
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's t... | {
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https://api.github.com/repos/huggingface/transformers/issues/18820 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18820/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18820/comments | https://api.github.com/repos/huggingface/transformers/issues/18820/events | https://github.com/huggingface/transformers/pull/18820 | 1,355,970,324 | PR_kwDOCUB6oc4-Dvd_ | 18,820 | Disable nightly CI temporarily | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,661 | 1,661 | 1,661 | COLLABORATOR | null | # What does this PR do?
Disable nightly CI temporarily until the test suite can be run under 12 hours. | {
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"Thanks for raising this - it's an issue we've also faced with `optimum`'s test suite. Let me take a look and see if it's possible to use the tiny models as you suggest\r\n\r\ncc @echarlaix @philschmid ",
"Keep the issue alive :-)",
"Thanks for the ping - on my TODO list this week!"
] | 1,661 | 1,692 | 1,692 | COLLABORATOR | null | ### Who can help?
@lewtun @LysandreJik
As shown in [this job](https://github.com/huggingface/transformers/runs/8074936385?check_suite_focus=true) run, the ONNX tests now run in 5.5 hours.
From https://github.com/huggingface/transformers/blob/73c6273d481f9052098a2a5a5f001fa75daaace9/tests/onnx/test_onnx_v2.py... | {
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https://api.github.com/repos/huggingface/transformers/issues/18818 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18818/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18818/comments | https://api.github.com/repos/huggingface/transformers/issues/18818/events | https://github.com/huggingface/transformers/pull/18818 | 1,355,928,925 | PR_kwDOCUB6oc4-Dmcl | 18,818 | Pin maximum TF version | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@ydshieh the CI fail seems unrelated 🤔 do you know potential causes?",
"Unfortunately no. Let me find some time to take a look, but I think you are good to merge :-)",
"Yes I think that's an unrelated error linked to a new cache... | 1,661 | 1,666 | 1,661 | MEMBER | null | # What does this PR do?
We now also depend on `tensorflow-text`, whose minor versions are typically released a few days after new `tensorflow` releases. From tests against the `tensorflow` release candidate, `tensorflow-text`-based functions fail when these two libraries do not have the same version.
This PR pins... | {
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https://api.github.com/repos/huggingface/transformers/issues/18817 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18817/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18817/comments | https://api.github.com/repos/huggingface/transformers/issues/18817/events | https://github.com/huggingface/transformers/issues/18817 | 1,355,875,673 | I_kwDOCUB6oc5Q0QVZ | 18,817 | Identifying backend compatibility versions | {
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"### **Past CI - PyTorch 1.11 (Patch release: v4.21.2 | b487096b0)**\r\n\r\n#### General\r\n| no. | error | status |\r\n|-:|:-|:-|\r\n| 32 | NameError: name 'kenlm' is not defined | not installed |\r\n| 12 | RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 | fixed... | 1,661 | 1,671 | null | MEMBER | null | We are currently working on identifying the backend versions with which we are compatible and with which we want to be compatible. These backends are PyTorch and TensorFlow. We will be considering Flax at a later point in time.
The first step was to identify the number of failures in each PyTorch/TensorFlow version ... | {
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https://api.github.com/repos/huggingface/transformers/issues/18816 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18816/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18816/comments | https://api.github.com/repos/huggingface/transformers/issues/18816/events | https://github.com/huggingface/transformers/issues/18816 | 1,355,756,345 | I_kwDOCUB6oc5QzzM5 | 18,816 | New update breaks T5, gpt2, opt models (probably all models actually) if bitsandbytes is installed | {
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"Hi @ViktorThink . Could you try if the following version works?\r\n\r\n`bitsandbytes==0.31.8` or `bitsandbytes==0.31.5`",
"Oh, I got what was the issue now...\r\n\r\nI had bitsandbytes installed on an instance with no cuda device, and that raised the error.\r\n\r\nThank you very much for the quick reply! Highly ... | 1,661 | 1,662 | 1,661 | NONE | null | ### System Info
It seems like a new update in the repo is causing an error for all models tested, including all the T5, gpt2 and opt models.
The error only occurs if bitsandbytes is installed, I tried an earlier version of bitesandbytes and same problem occured.
I made a colab to showcase it: https://colab.res... | {
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https://api.github.com/repos/huggingface/transformers/issues/18815 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18815/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18815/comments | https://api.github.com/repos/huggingface/transformers/issues/18815/events | https://github.com/huggingface/transformers/pull/18815 | 1,355,631,199 | PR_kwDOCUB6oc4-CmQk | 18,815 | MSN (Masked Siamese Networks) for ViT | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@NielsRogge, after studying the [pretraining script of MSN](https://github.com/facebookresearch/msn/blob/main/src/msn_train.py) thoroughly I am still unsure of how to put together a `ViTMSNForPretraining` similar to `ViTMAEForPreTrai... | 1,661 | 1,663 | 1,663 | MEMBER | null | # What does this PR do?
Adds the [MSN](https://arxiv.org/abs/2204.07141) checkpoints for ViT. MSN shines in the few-shot regimes which would benefit real-world use cases. Later we could add a pre-training script so that people can actually perform pre-training with MSN with their own datasets.
Closes #18758
#... | {
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https://api.github.com/repos/huggingface/transformers/issues/18814 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18814/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18814/comments | https://api.github.com/repos/huggingface/transformers/issues/18814/events | https://github.com/huggingface/transformers/pull/18814 | 1,355,442,002 | PR_kwDOCUB6oc4-B9Aw | 18,814 | Add support for Japanese GPT-NeoX-based model by ABEJA, Inc. | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Impressive PR, @SO0529!\r\n\r\nI'd like either @younesbelkada or @ArthurZucker (or both :smile:) to have a look at your PR; they are both well versed in Japanese and have reviewed models in the past.\r\n\r\nThey're both on leave unti... | 1,661 | 1,663 | 1,663 | CONTRIBUTOR | null | # What does this PR do?
This PR adds a new GPT NeoX Japanese Model and a new Tokenizer. The specific features are,
- Trained for Japanese Dataset with specific preprocess.
- Used [GPT-NeoX](https://github.com/EleutherAI/gpt-neox) to train with Pipe. In addition, we removed bias parameters from the transformer blocks... | {
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https://api.github.com/repos/huggingface/transformers/issues/18813 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18813/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18813/comments | https://api.github.com/repos/huggingface/transformers/issues/18813/events | https://github.com/huggingface/transformers/issues/18813 | 1,355,437,443 | I_kwDOCUB6oc5QylWD | 18,813 | Feature to highlight or color code the text from the NER output of token classification having offsets using python | {
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"Hello, thanks for opening an issue! We try to keep the github issues for bugs/feature requests.\r\nCould you ask your question on the [forum](https://discuss.huggingface.co) instead?\r\n\r\nThanks!",
"> Hello, thanks for opening an issue! We try to keep the github issues for bugs/feature requests. Could you ask ... | 1,661 | 1,665 | 1,665 | NONE | null | ### Feature request
I have fine tuned a `Hugging face` `token classification` model for `NER task`. I use `pipeline` from Hugging face to do prediction on test text data.
I tag the data as `BIOL` format. `B stands of Beginning, I stand for Including, O means no entity, L means Last`
**Example:**
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https://api.github.com/repos/huggingface/transformers/issues/18812 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18812/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18812/comments | https://api.github.com/repos/huggingface/transformers/issues/18812/events | https://github.com/huggingface/transformers/pull/18812 | 1,355,430,282 | PR_kwDOCUB6oc4-B6c2 | 18,812 | Add TF implementation of LongT5 | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_18812). All of your documentation changes will be reflected on that endpoint.",
"Hi @patrickvonplaten and @gante,\r\nFYI I've been gradually fixing some PT-TF discrepancies -- I should have some spare time again next weeken... | 1,661 | 1,675 | 1,675 | CONTRIBUTOR | null | Fixes #18063
Add:
- [ ] Fix PT-TF equivalence (Local)
- [ ] Fix PT-TF equivalence (TGlobal)
- [ ] Run all slow tests
- [ ] Prepare TF checkpoints
- [long-t5-local-base](https://huggingface.co/Stancld/long-t5-local-base)
- [long-t5-local-large](https://huggingface.co/Stancld/long-t5-local-large)
- [long... | {
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"Note that `align_corners=None` does give the same result as `tf.image.resize`, to an absolute tolerance of 1e-6 or so:\r\n\r\n```python\r\nupsampled_logits_pt = torch.nn.functional.interpolate(\r\n dummy_logits_pt, size=interp_shape, mode=\"bilinear\", align_corners=None\r\n)\r\n```\r\n",
"I had to face a sim... | 1,661 | 1,669 | 1,669 | MEMBER | null | ### System Info
Upsampling of intermediate feature maps is common for computer vision models. In PyTorch, it's usually implemented using [`nn.functional.interpolate`](https://pytorch.org/docs/stable/generated/torch.nn.functional.interpolate.html). For TensorFlow, it's usually [`tf.image.resize`](https://www.tensorflow... | {
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https://api.github.com/repos/huggingface/transformers/issues/18810 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18810/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18810/comments | https://api.github.com/repos/huggingface/transformers/issues/18810/events | https://github.com/huggingface/transformers/issues/18810 | 1,355,360,023 | I_kwDOCUB6oc5QyScX | 18,810 | SSLError | {
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"It seems there is an issue with your SSL module and `requests`, not with `transformers`; I would head to Stack Overflow or another forum focused on these issues, we're unfortunately unlikely to be able to help you out here.",
"This issue has been automatically marked as stale because it has not had recent activi... | 1,661 | 1,665 | 1,665 | NONE | null |
Version:
Python 3.8
transformer 4.21.0
I am trying to use DistilBertTokenizer using the following line:
`tokenizer = DistilBertTokenizer.from_pretrained("distilbert-base-uncased", do_lower_case=True)`
but SSLerror arise from the line above
`requests.exceptions.SSLError: HTTPSConnectionPool(host='huggingfa... | {
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https://api.github.com/repos/huggingface/transformers/issues/18809 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18809/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18809/comments | https://api.github.com/repos/huggingface/transformers/issues/18809/events | https://github.com/huggingface/transformers/issues/18809 | 1,354,911,525 | I_kwDOCUB6oc5Qwk8l | 18,809 | Changing a single example for BLOOM 176-B affects forward pass for other examples in a batch | {
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"Hey! It's a bit hard to run a testing env with bloom, can you share a reproductible script with a smaller model? \r\n\r\nThis looks like some instabilities from torch.bfloat16, and I'm willing to bet that those values come from there (both 3.28 occurences are exactly the same, so seems like a rounding error to me,... | 1,661 | 1,665 | 1,665 | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.21.2
- Platform: Linux-4.18.0-305.25.1.el8_4.x86_64-x86_64-with-glibc2.17
- Python version: 3.8.13
- Huggingface_hub version: 0.9.1
- PyTorch version (GPU?): 1.11.0 (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/18808 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18808/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18808/comments | https://api.github.com/repos/huggingface/transformers/issues/18808/events | https://github.com/huggingface/transformers/pull/18808 | 1,354,249,381 | PR_kwDOCUB6oc4998nn | 18,808 | [Update README] Add SegFormer and ViLT links | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Very cool! We've got a finetune guide for semantic segmentation in the works at #18640 right now, with hopefully VQA to come soon."
] | 1,661 | 1,661 | 1,661 | CONTRIBUTOR | null | # What does this PR do?
As we now also have inference widgets for semantic segmentation & visual question answering, it makes sense to add them to the main README. | {
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https://api.github.com/repos/huggingface/transformers/issues/18807 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18807/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18807/comments | https://api.github.com/repos/huggingface/transformers/issues/18807/events | https://github.com/huggingface/transformers/pull/18807 | 1,354,228,483 | PR_kwDOCUB6oc4994Es | 18,807 | supported dynamic batch for torchscript trace | {
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"Hi,\r\n\r\nThanks for your PR. Note that, when contributing, you need to run `make fixup` from the root of the repo, which will fix code style & checks quality of the code. Normally here, it will complain that you need to run `make fix-copies`, which ensures that other models that rely on Swin's implementation als... | 1,661 | 1,661 | 1,661 | NONE | null | # What does this PR do?
Fixup for supporting dynamic batch for Swin-Transformer.
Fixes #18806
## 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/transformer... | {
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https://api.github.com/repos/huggingface/transformers/issues/18806 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18806/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18806/comments | https://api.github.com/repos/huggingface/transformers/issues/18806/events | https://github.com/huggingface/transformers/issues/18806 | 1,354,218,700 | I_kwDOCUB6oc5Qt7zM | 18,806 | Swin trace is not correctedly for dynamic batch. | {
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"Wondering why this wasn't caught by the torchscript tests, cc @michaelbenayoun ",
"The dimension of batch is casted to integer forcelly, which leads to swin cann't support dynamic batch [modeling_swin.py#L218](https://github.com/huggingface/transformers/blob/main/src/transformers/models/swin/modeling_swin.py#L2... | 1,661 | 1,668 | 1,668 | NONE | null | ### System Info
transformers: v4.21.2
system: centos
python version: 3.6
### Who can help?
@sgugger @NielsRogge
### Information
- [ ] The official example scripts
- [X] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [X] ... | {
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https://api.github.com/repos/huggingface/transformers/issues/18805 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18805/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18805/comments | https://api.github.com/repos/huggingface/transformers/issues/18805/events | https://github.com/huggingface/transformers/pull/18805 | 1,354,055,280 | PR_kwDOCUB6oc499SJ- | 18,805 | Fix luke docstring | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,661 | 1,661 | 1,661 | CONTRIBUTOR | null | # What does this PR do?
The output logits of `LukeForEntitySpanClassification` is in `(batch_size, entity_length, config.num_labels)` shape instead of `(batch_size, config.num_labels)`, which is that of `LukeForEntityClassification`.
https://github.com/huggingface/transformers/blob/8b67f20935e48b26c5803cf31e0e89b... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thank you, @Wauplin . As my knowledge of `Mock` is also mocked, here is my noob question:\r\n\r\nThe `response` object here\r\n```\r\nserver_message = response.json().get(\"error\", None)\r\n```\r\nis the `response_mock` in\r\n```\r\... | 1,661 | 1,661 | 1,661 | CONTRIBUTOR | null | # What does this PR do?
Fix the CI that is currently breaking because of the [0.9.1 patch release](https://github.com/huggingface/huggingface_hub/releases/tag/v0.9.1) of `huggingface_hub`.
Problem is that we are looking at the response from the server when having a HTTPError. In the tests, the response is mocked ... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,661 | 1,661 | 1,661 | CONTRIBUTOR | null | # What does this PR do?
This PR fixes the dtype of the `attn_mask`, making mixed precision training possible.
Fixes #17481 | {
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"Related to #18149.",
"cc @patrickvonplaten as we might need to change the core method `load_tf_weights`."
] | 1,661 | 1,662 | 1,662 | COLLABORATOR | null | ### System Info
- `transformers` version: 4.22.0.dev0
- Platform: Windows-10-10.0.22000-SP0
- Python version: 3.9.11
- Huggingface_hub version: 0.8.1
- PyTorch version (GPU?): 1.12.1+cu113 (True)
- Tensorflow version (GPU?): 2.9.1 (False)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not ... | {
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"> Does the [malware scanner](https://huggingface.co/docs/hub/security-malware) catch malicious code injection for all Hub repos (public and private)?\r\n\r\nIt doesn't \"catch malicious code injection\" per se, it extracts the list of module-function pairs that can be called when unpickling. We still haven't imple... | 1,661 | 1,662 | 1,661 | MEMBER | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/18800 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18800/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18800/comments | https://api.github.com/repos/huggingface/transformers/issues/18800/events | https://github.com/huggingface/transformers/pull/18800 | 1,353,882,528 | PR_kwDOCUB6oc498s1w | 18,800 | Fix gradient checkpointing tests for `encoder-decoder` models | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Sorry about that! Thanks for fixing @ydshieh "
] | 1,661 | 1,662 | 1,661 | COLLABORATOR | null | # What does this PR do?
The recently added tests (#18697) didn't send the model to the correct device and caused some test failed. This PR fixes it. | {
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https://api.github.com/repos/huggingface/transformers/issues/18799 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18799/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18799/comments | https://api.github.com/repos/huggingface/transformers/issues/18799/events | https://github.com/huggingface/transformers/issues/18799 | 1,353,835,104 | I_kwDOCUB6oc5QseJg | 18,799 | torchmetrics support | {
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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... | 1,661 | 1,678 | 1,665 | CONTRIBUTOR | null | ### Feature request
In eval loop the HF transformers collects and keeps in memory predictions and targets up to the end of eval and then computes metrics passed via callback.
When transformers is used to fine-tune model with big dataset and many labels (in my case up to 220k labels), predictions and targets take hu... | {
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https://api.github.com/repos/huggingface/transformers/issues/18798 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18798/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18798/comments | https://api.github.com/repos/huggingface/transformers/issues/18798/events | https://github.com/huggingface/transformers/issues/18798 | 1,353,803,473 | I_kwDOCUB6oc5QsWbR | 18,798 | Support mixed precision FP16 in TF Segformer | Nan loss | {
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"Thanks! Are you casting the softmaxed outputs or the logits to FP32 before loss computation as recommended [here](https://www.tensorflow.org/guide/mixed_precision#building_the_model)? \r\n\r\nNit: You didn't provide any training code. I guess it's always better to provide a self-contained Colab Notebook or a noteb... | 1,661 | 1,665 | 1,665 | CONTRIBUTOR | null | ### Description
I'm trying to bring mixed precision training (FP16) support to [TF Segformer](https://github.com/huggingface/transformers/blob/main/src/transformers/models/segformer/modeling_tf_segformer.py) .
I had to do a very small modification to the inital code for supporting Fp16 ([my commit ](https://github.... | {
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"I've also experienced this issue, and anecdotally this inconsistency seems to impact the quality of stable diffusion outputs from https://github.com/huggingface/diffusers. More specifically, when trying to port the stable diffusion pipeline to another framework (e.g. like Flax where the implementation is not prese... | 1,661 | 1,662 | 1,662 | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.21.2
- Platform: Linux-5.15.0-46-generic-x86_64-with-glibc2.33
- Python version: 3.8.6
- Huggingface_hub version: 0.5.1
- PyTorch version (GPU?): 1.12.0+cu102 (False)
- Tensorflow version (GPU?): 2.6.0 (False)
- Flax version (CPU?/GPU?/TPU?): 0.4.2 (cpu)
- Jax versi... | {
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] | 1,661 | 1,661 | 1,661 | NONE | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/18795 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18795/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18795/comments | https://api.github.com/repos/huggingface/transformers/issues/18795/events | https://github.com/huggingface/transformers/pull/18795 | 1,353,436,870 | PR_kwDOCUB6oc497PgS | 18,795 | Add docstring for BartForCausalLM | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,661 | 1,661 | 1,661 | CONTRIBUTOR | null | # What does this PR do?
Adds docstring for BartForCausalLM
## Before submitting
- [X] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [ ] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md#start-cont... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@patrickvonplaten - does this look fine to you?",
"@ArthurZucker @gante could you take a look here? ",
"> @ArthurZucker @JoaoLages could you take a look here?\r\n\r\nMaybe you wanted to call João Gante and not me, but here are my... | 1,661 | 1,664 | 1,664 | CONTRIBUTOR | null | # What does this PR do?
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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... | 1,661 | 1,664 | 1,664 | NONE | null | ### System Info
- `transformers` version: 4.21.2
- Platform: Linux-5.4.188+-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.7.13
- Huggingface_hub version: 0.9.1
- PyTorch version (GPU?): 1.12.1+cu113 (False)
- Tensorflow version (GPU?): 2.8.2 (False)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- ... | {
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https://api.github.com/repos/huggingface/transformers/issues/18792 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18792/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18792/comments | https://api.github.com/repos/huggingface/transformers/issues/18792/events | https://github.com/huggingface/transformers/issues/18792 | 1,353,408,293 | I_kwDOCUB6oc5Qq18l | 18,792 | UnimplementedError: The Conv2D op currently does not support grouped convolutions on the CPU. | {
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"cc @gante ",
"Hey @innat 👋 That exception doesn't come from `transformers`, but from TensorFlow itself. As you mentioned, using a newer TF version does not result in an error. \r\n\r\nI'm afraid we won't be able to help you here :)",
"@gante \r\nSorry I think I didn't explain well. Here is short and exact sum... | 1,661 | 1,664 | 1,664 | NONE | null | # Info
```
Coalb TPU v2
Kaggle TPU v3
TensorFlow: 2.4.1
Transformer: 4.22.0.dev0
```
# Who can help?
@Rocketknight1 @NielsRogge @sgugger @amyeroberts
# Information
- [ ] The official example scripts
- [X] My own modified scripts
# Tasks
- [ ] An officially supported task in the `examples` folde... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thanks for the fixes! ",
"@patrickvonplaten Thanks for the review! Applied your suggestions. "
] | 1,661 | 1,662 | 1,662 | CONTRIBUTOR | null | # What does this PR do?
* Fix 1: use the tokenizer to obtain the labels as tensors. `docs/source/en/model_doc/t5.mdx`
* Fix 2: `src/transformers/models/t5/`
* Present case: T5 prepends the decoder_input_ids with pad token. This preprocessing is handled internally by `T5ForConditionalGeneration` by shifting th... | {
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"Got resolved after restarting the environment. Weird.",
"Hi, I had a similar issue by simply running \"from transformers import GPT2Tokenizer\"\r\nThis is the error I got:\r\n`ImportError: cannot import name 'GPT2Tokenizer' from partially initialized module 'transformers' (most likely due to a circular import)`"... | 1,661 | 1,692 | 1,661 | NONE | null | ### System Info
Libraries:
```
transformers 4.21.2
happytransformer 2.4.1
huggingface-hub 0.9.1
torch 1.12.1
tensorflow 2.9.1
```
Env:
```
python 3.10
Windows 10.0.19044.1889
```
### Who can help?
_No response_
### Information
- [ ] The... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_18789). All of your documentation changes will be reflected on that endpoint.",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please... | 1,661 | 1,666 | 1,666 | NONE | null | # What does this PR do?
When using PyTorch for model trace, the size of feature map will be inconsistent, resulting in failure to export successfully. The reason is that += is used in the size calculation code, and the object that happens to be added happens to be a shallow copy object, causing input_shape to change... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thank you @sgugger for the review. I have applied your suggestions."
] | 1,661 | 1,661 | 1,661 | CONTRIBUTOR | null | # What does this PR do?
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"_The documentation is not available anymore as the PR was closed or merged._",
"@ydshieh, could you take a look at this when you have some time please? Thanks a lot!",
"Hi, @kumapo \r\n\r\nI believe it also requires a change in\r\n\r\nhttps://github.com/huggingface/transformers/blob/main/src/transformers/train... | 1,661 | 1,662 | 1,662 | CONTRIBUTOR | null | # What does this PR do?
in most cases, VisionEncoderDecoderModel's `max_length` is set implicitly.
it leads to the problem if the model generates prediction given `max_new_tokens`.
this PR makes `max_new_tokens` handled as expected in `Seq2SeqTrainer. prediction_step()` in the case.
Fixes #18785
P.S. I can... | {
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https://api.github.com/repos/huggingface/transformers/issues/18785 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18785/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18785/comments | https://api.github.com/repos/huggingface/transformers/issues/18785/events | https://github.com/huggingface/transformers/issues/18785 | 1,353,093,401 | I_kwDOCUB6oc5QppEZ | 18,785 | Raise ValueError if given max_new_tokens to `Seq2SeqTrainer.predict()` | {
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"thank you all for kind supports!"
] | 1,661 | 1,662 | 1,662 | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.22.0.dev0
- Platform: Linux-5.10.133+-x86_64-with-debian-bullseye-sid
- Python version: 3.7.12
- Huggingface_hub version: 0.8.1
- PyTorch version (GPU?): 1.11.0 (True)
- Tensorflow version (GPU?): 2.6.4 (True)
- Flax version (CPU?/GPU?/TPU?): 0.6.0 (gpu)
- Jax version... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Superseeded by #18787 "
] | 1,661 | 1,661 | 1,661 | CONTRIBUTOR | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/18783 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18783/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18783/comments | https://api.github.com/repos/huggingface/transformers/issues/18783/events | https://github.com/huggingface/transformers/pull/18783 | 1,352,967,441 | PR_kwDOCUB6oc4952mY | 18,783 | Fix broken link DeepSpeed documentation link | {
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Fix broken link DeepSpeed documentation link. The current `<a>` is not working. | {
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"@ydshieh has been looking into memory leaks as well recently and might have some insights for you!",
"Hi @tobyych \r\n\r\nCould you also try to add `gc.collect()` after `del model` in both loading methods, and see what you get (memory usage) after `gc.collect()` is done. You have to import `gc`.",
"Hi @ydshieh... | 1,661 | 1,662 | 1,662 | NONE | null | Issue
---
I was trying to understand the memory usage when loading a Hugging Face model. I found that when loading the model via `AutoModelForMaskedLM.from_pretrained("bert-base-uncased")`, the resulting increment in memory was (1) larger than the cached BERT model on disk (859MB v.s. 421MB) and (2) when deleting the... | {
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"Thanks for the suggestions! I reworked the `sequence_classification` task a bit, and if we like the changes, then I can apply them to the other tasks. Main changes are:\r\n\r\n- Encourage users to login with their HF accounts so they... | 1,661 | 1,669 | 1,669 | MEMBER | null | Currently, the task guides only show how to finetune a model, but it doesn't directly connect the dots to how you can use that model for inference. For completeness, this PR adds a section to the task guides to show how to use a model for inference after finetuning. This gives users a better overview of the model lifec... | {
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"This is likely an error due to a mismatch of versions between your Torch and TorchScatter installations",
"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 ... | 1,661 | 1,664 | 1,664 | NONE | null | ### System Info
Hi,
I have some issues when I am using TAPAS.
`from transformers import TapasConfig, TapasForQuestionAnswering `
report following errors:
RuntimeError: Failed to import transformers.models.tapas.modeling_tapas because of the following error (look up to see its traceback):
module 'distutils' h... | {
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https://api.github.com/repos/huggingface/transformers/issues/18779 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18779/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18779/comments | https://api.github.com/repos/huggingface/transformers/issues/18779/events | https://github.com/huggingface/transformers/pull/18779 | 1,352,646,763 | PR_kwDOCUB6oc494x1q | 18,779 | fix a typo in auto feature extraction for videomae | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,661 | 1,661 | 1,661 | CONTRIBUTOR | null | # What does this PR do?
<!-- Remove if not applicable -->
Fixes https://github.com/huggingface/transformers/issues/18778
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](https://git... | {
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"Tried to fix it with a PR: https://github.com/huggingface/transformers/pull/18779"
] | 1,661 | 1,661 | 1,661 | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.22.0.dev0
- Platform: Windows-10-10.0.19043-SP0
- Python version: 3.9.12
- Huggingface_hub version: 0.9.1
- PyTorch version (GPU?): 1.12.1+cpu (False)
- Tensorflow version (GPU?): 2.9.1 (False)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not i... | {
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https://api.github.com/repos/huggingface/transformers/issues/18777 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18777/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18777/comments | https://api.github.com/repos/huggingface/transformers/issues/18777/events | https://github.com/huggingface/transformers/pull/18777 | 1,352,544,129 | PR_kwDOCUB6oc494byI | 18,777 | Cache results of is_torch_tpu_available() | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Not sure the reason of CI failure. It seems not relevant to this PR.",
"@LysandreJik thanks for the review and sure we could wait for @sgugger.\r\nMeanwhile, do I need to do anything to fix the CI failure?",
"Thanks for bearing w... | 1,661 | 1,662 | 1,662 | CONTRIBUTOR | null | # What does this PR do?
<!--
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Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
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https://api.github.com/repos/huggingface/transformers/issues/18776 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18776/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18776/comments | https://api.github.com/repos/huggingface/transformers/issues/18776/events | https://github.com/huggingface/transformers/issues/18776 | 1,352,463,738 | I_kwDOCUB6oc5QnPV6 | 18,776 | TF: Can't create sharded XGLM model | {
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"cc @ArthurZucker ",
"Hey! Little update on this : the problem comes from the previously introduced \"hack\" : \r\n```python \r\n return tf.Variable(emb, trainable=False, name=\"model.embed_positions.weights\")\r\n```\r\nThis appears [here](https://github.com/huggingface/transformers/blob/main/src/transformers... | 1,661 | 1,665 | 1,665 | MEMBER | null | ### System Info
- `transformers` version: 4.22.0.dev0
- Platform: Linux-5.15.0-33-generic-x86_64-with-glibc2.35
- Python version: 3.8.13
- Huggingface_hub version: 0.9.0
- PyTorch version (GPU?): 1.12.0+cu116 (True)
- Tensorflow version (GPU?): 2.9.1 (True)
- Flax version (CPU?/GPU?/TPU?): 0.5.0 (gpu)
- Jax ver... | {
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