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https://api.github.com/repos/huggingface/transformers/issues/20885 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20885/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20885/comments | https://api.github.com/repos/huggingface/transformers/issues/20885/events | https://github.com/huggingface/transformers/pull/20885 | 1,509,538,204 | PR_kwDOCUB6oc5GIV25 | 20,885 | update template | {
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ผ๋ฌธ๊ณผ ํจ๊ป ๋ฐํํ์ต๋๋ค.`"
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Adds a better template for Korean Readme and replaces the previous text. | {
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"Thanks for reporting! I'll have a look into it after the holidays, the first week of January.",
"Thanks for your patience. Could you try the PR linked above?",
"I'm away this week. But, I'll check it out next week. Thanks!"
] | 1,671 | 1,672 | 1,672 | NONE | null | ### System Info
- `transformers` version: 4.25.1
- Platform: Linux-3.10.0-1160.49.1.el7.x86_64-x86_64-with-glibc2.17
- Python version: 3.9.12
- Huggingface_hub version: 0.11.1
- PyTorch version (GPU?): 1.12.1 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed ... | {
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] | 1,671 | 1,673 | 1,671 | CONTRIBUTOR | null | This PR fixes a typo in the help text of an example script.
- PyTorch: @sgugger | {
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"๐ ",
"I tried to convert and also ran into this issue:\r\n\r\nhttps://github.com/facebookresearch/metaseq/issues/567\r\nhttps://github.com/facebookresearch/metaseq/issues/594\r\n\r\nBut it seems like meta folks are working to upload it to huggingface:\r\n\r\nhttps://github.com/facebookresearch/metaseq/issues/56... | 1,671 | 1,678 | 1,678 | NONE | null | ### Model description
OPT-IML models are instruction-finetuned from the OPT checkpoints. Here is the [technical report](https://github.com/facebookresearch/metaseq/blob/main/projects/OPT-IML/optimal_paper_v1.pdf).
### Open source status
- [X] The model implementation is available
- [X] The model weights are availabl... | {
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"Hi there! There is no way we will be able to help you without seeing the code you are running.",
"> The code is below\r\n\r\nfrom transformers.modeling_utils import PretrainedConfig\r\n\r\nclass TClass(PretrainedConfig):\r\ndef init(self, config):\r\nsuper(TClass, self).init()\r\nself.config = config\r\n\r\nif n... | 1,671 | 1,686 | 1,672 | NONE | null | ### System Info
- `transformers` version: 4.9.2
- Platform: Windows-10-10.0.19041-SP0
- Python version: 3.7.11
- PyTorch version (GPU?): 1.9.0+cpu (False)
- Tensorflow version (GPU?): 2.6.0 (False)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not installed
- JaxLib version: not installed
... | {
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https://api.github.com/repos/huggingface/transformers/issues/20880 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20880/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20880/comments | https://api.github.com/repos/huggingface/transformers/issues/20880/events | https://github.com/huggingface/transformers/pull/20880 | 1,508,791,155 | PR_kwDOCUB6oc5GF0dc | 20,880 | Fix model parallelism for ByT5 | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_20880). All of your documentation changes will be reflected on that endpoint.",
"Hey, parallelise is very deprecated, but I believe other models might also benefit from this if it is a fix no?\r\n",
"Wasn't aware, is the ... | 1,671 | 1,675 | 1,675 | NONE | 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... | 1,671 | 1,677 | 1,677 | NONE | null | ### System Info
4.25.1
### Who can help?
@ArthurZucker @younesbelkada
### Information
- [ ] The official example scripts
- [X] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [X] My own task or dataset (give details below)
### Reproductio... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,671 | 1,672 | 1,672 | CONTRIBUTOR | null | # What does this PR do?
This PR mainly fixes https://github.com/huggingface/transformers/actions/runs/3754402958/jobs/6378652143
Since the PR https://github.com/huggingface/accelerate/pull/920 has been merged, the fix proposed in https://github.com/huggingface/transformers/pull/20760 seems to not work anymore us... | {
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https://api.github.com/repos/huggingface/transformers/issues/20877 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20877/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20877/comments | https://api.github.com/repos/huggingface/transformers/issues/20877/events | https://github.com/huggingface/transformers/pull/20877 | 1,508,435,332 | PR_kwDOCUB6oc5GEmF0 | 20,877 | [`BLIP`] Fix daily CI failing test | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Hmm at the beginning I thought that the `Softmax` was causing the issue, leading to large round errors but the test pass locally with `torch+cu116==1.13.0` but does not pass on the docker image that uses the same version. Will invest... | 1,671 | 1,672 | 1,672 | CONTRIBUTOR | null | # What does this PR do?
This PR fixes: https://github.com/huggingface/transformers/actions/runs/3754402958/jobs/6378634199
## Why this fix is relevant?
The reference logits for this test were obtained under pytorch==1.13.1+cu116 and the daily CI uses pytorch==1.13.0+cu116. Setting the tolerance slightly highe... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_20876). All of your documentation changes will be reflected on that endpoint.",
"how to pass the code quality check?",
"As mentioned in the issue, this is not a fix we are interested in adding as it would break other func... | 1,671 | 1,675 | 1,675 | NONE | null | add "local_files_first" parameter to AutoConfig.from_pretrained
# What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/20875 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20875/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20875/comments | https://api.github.com/repos/huggingface/transformers/issues/20875/events | https://github.com/huggingface/transformers/issues/20875 | 1,508,082,386 | I_kwDOCUB6oc5Z44LS | 20,875 | make internet connection only if local cache is missing | {
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"hi james, can you assign this issue to me?",
"Thanks for opening this issue, but we're not interested in implementing this feature as this would break the auto-update mechanism (if someone updates the model, it would no longer be downloaded).\r\n\r\nIf the connection fails for any reason, local files are used in... | 1,671 | 1,677 | 1,677 | NONE | null | ### Feature request
Check if local cache has the model, and download the model only if have to.
### Motivation
My connection to github or huggingface is unstable. I don't want make this unstable internet connection if I can find the cache of the model, breaking things and logics.
### Your contribution
I ... | {
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https://api.github.com/repos/huggingface/transformers/issues/20874 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20874/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20874/comments | https://api.github.com/repos/huggingface/transformers/issues/20874/events | https://github.com/huggingface/transformers/pull/20874 | 1,508,051,930 | PR_kwDOCUB6oc5GDP7- | 20,874 | Adding doc page for the object detection task | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"If I missed someone who has to be invited as a reviewer, please feel free to add them. ",
"@MKhalusova thanks for doing this! I will take a look tomorrow my time. \r\n\r\nI think you can follow the instructions noted [here](https:/... | 1,671 | 1,673 | 1,672 | CONTRIBUTOR | null | This is a PR for the https://github.com/huggingface/transformers/issues/20805 issue.
The guide has content and working code examples for:
- [x] Introduction
- [x] Loading CPPE-5 dataset from Hub
- [x] Preprocessing both images and annotations. Images are augmented, annotations are reformatted to be in the form... | {
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https://api.github.com/repos/huggingface/transformers/issues/20873 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20873/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20873/comments | https://api.github.com/repos/huggingface/transformers/issues/20873/events | https://github.com/huggingface/transformers/issues/20873 | 1,508,009,252 | I_kwDOCUB6oc5Z4mUk | 20,873 | `model_kwargs` not used in `model.generate()` | {
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"This snippet should work (tested on the `main` branch):\r\n```\r\nfrom transformers import GPT2LMHeadModel\r\n\r\nclass ToyGPT(GPT2LMHeadModel):\r\n def forward(self, *args, added_param=None, **kwargs):\r\n print(\"added_param\", added_param)\r\n return super().forward(*args, **kwargs)\r\n def ... | 1,671 | 1,671 | 1,671 | NONE | null | ### System Info
- `transformers` version: 4.25.1
- Platform: Linux-5.4.0-124-generic-x86_64-with-debian-bullseye-sid
- Python version: 3.7.13
- Huggingface_hub version: 0.10.1
- PyTorch version (GPU?): 1.12.1+cu102 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not instal... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,671 | 1,673 | 1,673 | CONTRIBUTOR | null | # What does this PR do?
This PR adds a lot of resources for all models. | {
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https://api.github.com/repos/huggingface/transformers/issues/20871 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20871/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20871/comments | https://api.github.com/repos/huggingface/transformers/issues/20871/events | https://github.com/huggingface/transformers/issues/20871 | 1,507,846,644 | I_kwDOCUB6oc5Z3-n0 | 20,871 | Error loading text generation pipeline: Exception: Python patch version not an integer | {
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"This is very odd.\r\n\r\nCould you share maybe a bit more about your environment so we could reproduce ?\r\nIt seems like the way Python itself is installed is odd (I'm purely inferring from the error message), maybe ?\r\n\r\nIs it possible to provide a way to reproduce maybe ? Like a docker image or something ?\r... | 1,671 | 1,690 | 1,675 | NONE | null | ### System Info
Platform: Ubuntu 20.04.5, Jupyter Lab 3.5.2, dockerized
Python version: 3.8.13
`pip freeze` output:
absl-py==1.2.0
accelerate==0.15.0
aiohttp==3.8.3
aiosignal==1.3.1
alabaster==0.7.12
anyio==3.6.1
apex==0.1
appdirs==1.4.4
argon2-cffi==21.3.0
argon2-cffi-bindings==21.2.0
asttokens @ fi... | {
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https://api.github.com/repos/huggingface/transformers/issues/20870 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20870/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20870/comments | https://api.github.com/repos/huggingface/transformers/issues/20870/events | https://github.com/huggingface/transformers/pull/20870 | 1,507,595,506 | PR_kwDOCUB6oc5GBpu5 | 20,870 | Add japanese translation of template | {
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"You might be able to modify the README with simple regex/pattern finding ",
"_The documentation is not available anymore as the PR was closed or merged._",
"yes, I'll do it now",
"Thanks for giving me the tip about https://regex101.com/ which made the conversion process much faster! \r\nShould be good now"
] | 1,671 | 1,671 | 1,671 | CONTRIBUTOR | null | # What does this PR do?
Adds Japanese template of the README-jp.md following the same convention as what is done in Chinese
cc @sgugger @ArthurZucker | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,671 | 1,671 | 1,671 | CONTRIBUTOR | null | # What does this PR do?
1. Having new model entries in Hindi for Hindi README | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@ChainYo @michaelbenayoun I have mistakenly closed that previous pull request. Created this with resolved conflicts. ",
"Yeah I will do that",
"Thank you"
] | 1,671 | 1,671 | 1,671 | 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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"@yazdanbakhsh Thanks for creating the issue and putting in so much detail. \r\n\r\nIf I've understood correctly, your question is about differences in the configuration seen on the hub e.g. [here](https://huggingface.co/google/vit-base-patch16-224/blob/main/preprocessor_config.json) and the object representation ... | 1,671 | 1,672 | 1,672 | NONE | null | ### System Info
- `transformers` version: 4.26.0.dev0
- Platform: Linux-5.4.0-1096-gcp-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.7.5
- Huggingface_hub version: 0.11.1
- PyTorch version (GPU?): 1.13.1+cu117 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not insta... | {
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https://api.github.com/repos/huggingface/transformers/issues/20866 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20866/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20866/comments | https://api.github.com/repos/huggingface/transformers/issues/20866/events | https://github.com/huggingface/transformers/pull/20866 | 1,506,954,569 | PR_kwDOCUB6oc5F_fz1 | 20,866 | Update image processor parameters if creating with kwargs | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,671 | 1,672 | 1,672 | COLLABORATOR | null | # What does this PR do?
Ensures backwards compatibility with previous feature extractor creation when using `from_pretrained` and `from_dict`.
**Updates attribute before instantiation:**
Previously, `size` attributes were stored as an int/tuple. This has been updated to a dictionary to reduce ambiguity of wheth... | {
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https://api.github.com/repos/huggingface/transformers/issues/20865 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20865/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20865/comments | https://api.github.com/repos/huggingface/transformers/issues/20865/events | https://github.com/huggingface/transformers/pull/20865 | 1,506,818,637 | PR_kwDOCUB6oc5F_CPR | 20,865 | change strings to f-strings in image_processing_utils.py | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,671 | 1,671 | 1,671 | CONTRIBUTOR | null | # What does this PR do?
not top priority, it's just that there's a python string which should be a f-string :)
## 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... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,671 | 1,671 | 1,671 | CONTRIBUTOR | null | # What does this PR do?
Fixes #20862
Many things were considered before settling for this design.
- `feature_extractor(return_tensors="ptยจ, torch_dtype=torch_dtype)` . This would have the advantage of being consistent, but not all feature extractors to define this, so it would affect all of them. Then why wou... | {
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https://api.github.com/repos/huggingface/transformers/issues/20863 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20863/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20863/comments | https://api.github.com/repos/huggingface/transformers/issues/20863/events | https://github.com/huggingface/transformers/pull/20863 | 1,506,668,133 | PR_kwDOCUB6oc5F-hZF | 20,863 | Update `HubertModelIntegrationTest.test_inference_keyword_spotting` | {
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] | 1,671 | 1,671 | 1,671 | COLLABORATOR | null | # What does this PR do?
Our CI is updated to use torch 1.13 (which also use cuda 11.6) instead of torch 1.12 (cuda 11.3), this test fails. The tolerance `2e-2` is not enough anymore, but it passes with `3e-2`.
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https://api.github.com/repos/huggingface/transformers/issues/20862 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20862/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20862/comments | https://api.github.com/repos/huggingface/transformers/issues/20862/events | https://github.com/huggingface/transformers/issues/20862 | 1,506,461,259 | I_kwDOCUB6oc5ZysZL | 20,862 | Run `AutomaticSpeechRecognitionPipeline` with FP16 | {
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"Good catch ! Thanks for the tip.\r\n\r\nI started considering a few options into how this could be done, and I ended up doing the PR, please review if you can (sorry for doing it, I usually like when contributors can do it, but as I wasn't sure of what exactly should be done and I was exploring, I ended up doing i... | 1,671 | 1,671 | 1,671 | CONTRIBUTOR | null | ### Feature request
Hi @Narsil,
I would like to run inference with `AutomaticSpeechRecognitionPipeline` in FP16 using some large models (e,g, whisper). But I don't believe it's supported in current version (please correct me if I'm wrong here).
### Reproduction
Below is a code snippet to reproduce the behavio... | {
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https://api.github.com/repos/huggingface/transformers/issues/20861 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20861/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20861/comments | https://api.github.com/repos/huggingface/transformers/issues/20861/events | https://github.com/huggingface/transformers/pull/20861 | 1,506,417,682 | PR_kwDOCUB6oc5F9raM | 20,861 | [Past CI] ๐ฅ Leave Past CI failures in the past ๐ฅ | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,671 | 1,672 | 1,672 | COLLABORATOR | null | # What does this PR do?
Make Past CI (with `torch 1.8`) cleaner | {
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https://api.github.com/repos/huggingface/transformers/issues/20860 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20860/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20860/comments | https://api.github.com/repos/huggingface/transformers/issues/20860/events | https://github.com/huggingface/transformers/pull/20860 | 1,506,040,902 | PR_kwDOCUB6oc5F8Yxq | 20,860 | [`MobileNet-v2`] Fix ONNX typo | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"I can confirm the script below works:\r\n```\r\nfrom transformers import AutoModelForImageClassification\r\nfrom transformers.onnx import FeaturesManager\r\n\r\nmodel = AutoModelForImageClassification.from_pretrained(\"google/mobile... | 1,671 | 1,671 | 1,671 | CONTRIBUTOR | null | # What does this PR do?
Fixes https://github.com/huggingface/transformers/issues/20856
In order to get which model is exportable with ONNX, we need first to pre-process the model type before checking with `FeaturesManager` by replacing the `_` with `-`.
This has been forgotten for `mobilenet` family models wh... | {
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https://api.github.com/repos/huggingface/transformers/issues/20859 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20859/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20859/comments | https://api.github.com/repos/huggingface/transformers/issues/20859/events | https://github.com/huggingface/transformers/pull/20859 | 1,506,029,867 | PR_kwDOCUB6oc5F8WbG | 20,859 | Fix past CI by Skipping `LevitModelTest.test_problem_types` | {
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] | 1,671 | 1,671 | 1,671 | COLLABORATOR | null | # What does this PR do?
Fix past CI by Skipping `LevitModelTest.test_problem_types` for `PyTorch 1.9`.
This test failed with torch 1.9 with some CUDA error, but it passes with `torch 1.8` and `torch >= 1.10`.
The error is
```bash
input = <[RuntimeError('CUDA error: an illegal memory access was encountered\nC... | {
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https://api.github.com/repos/huggingface/transformers/issues/20858 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20858/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20858/comments | https://api.github.com/repos/huggingface/transformers/issues/20858/events | https://github.com/huggingface/transformers/pull/20858 | 1,505,998,807 | PR_kwDOCUB6oc5F8Pqx | 20,858 | Remove more unused attributes in config classes | {
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] | 1,671 | 1,672 | 1,672 | COLLABORATOR | null | # What does this PR do?
remove more unused attributes in config classes | {
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https://api.github.com/repos/huggingface/transformers/issues/20857 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20857/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20857/comments | https://api.github.com/repos/huggingface/transformers/issues/20857/events | https://github.com/huggingface/transformers/pull/20857 | 1,505,882,041 | PR_kwDOCUB6oc5F72gE | 20,857 | Use `config.num_channels` in CLIP-like modeling files | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,671 | 1,671 | 1,671 | COLLABORATOR | null | # What does this PR do?
`config.num_channels` is not used in some CLIP-like modeling files. Unlike previous PRs like #20596 or #20844, we use this attribute in the modeling files in this PR.
The only breaking case is when a user previously set `config.num_channels=X` with `X !=3`, which is super unlikely IMO. (E... | {
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https://api.github.com/repos/huggingface/transformers/issues/20856 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20856/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20856/comments | https://api.github.com/repos/huggingface/transformers/issues/20856/events | https://github.com/huggingface/transformers/issues/20856 | 1,505,773,188 | I_kwDOCUB6oc5ZwEaE | 20,856 | transformers.onnx mobilenet_v2 not supported but exists in supported list | {
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"It's just a typo in the list it looks like. cc @younesbelkada or @ArthurZucker if you want to make a quick fix.",
"on it!",
"Hi @ashim-mahara \r\nYou should be now be able to export mobilenet in ONNX using the main branch of optimum and transformers",
"Hi @younesbelkada thank you! that was fast, kudos to you... | 1,671 | 1,671 | 1,671 | NONE | null | ### System Info
- `transformers` version: 4.25.1
- Platform: Linux-6.0.6-76060006-generic-x86_64-with-glibc2.35
- Python version: 3.10.6
- Huggingface_hub version: 0.10.1
- PyTorch version (GPU?): 1.13.0 (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/20855 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20855/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20855/comments | https://api.github.com/repos/huggingface/transformers/issues/20855/events | https://github.com/huggingface/transformers/issues/20855 | 1,505,695,114 | I_kwDOCUB6oc5ZvxWK | 20,855 | Gradient accumulation trick and Activation Checkpointing feature | {
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"cc @sanchit-gandhi ",
"Hey @buttercutter! It looks like there are two different feature requests going on here! Let's focus on the JAX gradient accumulation one since this more relevant to the 'motivation' and code snippet you've provided. Feel free to open a separate issue for DeepSpeed activation checkpointing... | 1,671 | 1,677 | 1,677 | NONE | null | ### Feature request
1. Adds gradient accumulation trick to https://github.com/huggingface/transformers/blob/main/examples/flax/summarization/run_summarization_flax.py
2. Adds [Activation Checkpointing feature](https://github.com/microsoft/DeepSpeed/issues/2302#issuecomment-1320728107)
### Motivation
For GPU m... | {
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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... | 1,671 | 1,675 | 1,675 | NONE | null | ### System Info
- `transformers` version: 4.25.1
- Platform: Linux-5.4.0-113-generic-x86_64-with-glibc2.17
- Python version: 3.8.15
- Huggingface_hub version: 0.11.1
- PyTorch version (GPU?): 1.13.1+cu117 (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/20853 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20853/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20853/comments | https://api.github.com/repos/huggingface/transformers/issues/20853/events | https://github.com/huggingface/transformers/pull/20853 | 1,505,068,288 | PR_kwDOCUB6oc5F5Kzf | 20,853 | Fix TF generation (especially for `TFMarian`) | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Hey @ydshieh ๐ \r\n\r\nThank you for opening this PR, it made me realize a detail that is wrong in *both* frameworks ๐ \r\n\r\nWe know that logprobs is a negative value, and we want to maximize it in beam search (i.e. make it as cl... | 1,671 | 1,675 | 1,672 | COLLABORATOR | null | # What does this PR do?
Fix TF generation (especially for the `TFMarian` generation issue in #18149)
Fix #18149 | {
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https://api.github.com/repos/huggingface/transformers/issues/20852 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20852/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20852/comments | https://api.github.com/repos/huggingface/transformers/issues/20852/events | https://github.com/huggingface/transformers/issues/20852 | 1,504,865,697 | I_kwDOCUB6oc5Zsm2h | 20,852 | Using TensorFlow XLA with MBart50 will result in a `OperatorNotAllowedInGraphError` error | {
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"cc @gante ",
"Hi @xhluca ๐ \r\n\r\nI was able to successfully run your example on my end. Can you try to install an updated version of `transformers` to see if it solves the problem? (`pip install -U transformers`)",
"Thanks it works now!"
] | 1,671 | 1,673 | 1,673 | CONTRIBUTOR | null | ### System Info
I used `pip install transformers>=4.21.0` to upgrade to the latest version.
### Who can help?
@gante
### 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 ... | {
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https://api.github.com/repos/huggingface/transformers/issues/20851 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20851/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20851/comments | https://api.github.com/repos/huggingface/transformers/issues/20851/events | https://github.com/huggingface/transformers/pull/20851 | 1,504,865,229 | PR_kwDOCUB6oc5F4gmW | 20,851 | Supporting `ImageProcessor` in place of `FeatureExtractor` for pipelines | {
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"I don't seem to have direct write access (git is asking for credentials). I opened a PR here: https://github.com/praeclarumjj3/transformers/pull/1.",
"Hi @Narsil, please let me know if you need my assistance with the pipeline. I would like to emphasize that we should have a `task_inputs` argument if possible and... | 1,671 | 1,675 | 1,674 | CONTRIBUTOR | null | # What does this PR do?
~As a bonus point, it enables `OneFormer` for `image-segmentation`.~ Moved to separate PR.
Requires https://github.com/huggingface/transformers/pull/21278
<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the re... | {
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https://api.github.com/repos/huggingface/transformers/issues/20850 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20850/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20850/comments | https://api.github.com/repos/huggingface/transformers/issues/20850/events | https://github.com/huggingface/transformers/pull/20850 | 1,504,737,602 | PR_kwDOCUB6oc5F4Gn4 | 20,850 | Adding `evaluate` to the list of libraries required in generated notebooks | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@sgugger No problem! I don't have permissions to merge though :)"
] | 1,671 | 1,674 | 1,671 | CONTRIBUTOR | null | This PR is based on the discussion in [doc-builder/Add custom first cell #50](https://github.com/huggingface/doc-builder/pull/50#issuecomment-1359312952).
It modifies the config file that defines the contents of the first cell for the Colab notebooks generated from the doc pages. This change adds `evaluate` to the lis... | {
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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... | 1,671 | 1,677 | 1,677 | CONTRIBUTOR | null | # What does this PR do?
Adding Temporal Fusion Transformer time series model https://arxiv.org/pdf/1912.09363.pdf | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,671 | 1,671 | 1,671 | MEMBER | null | The TF changelog said that the optimizer had been moved to `tf.keras.optimizer.legacy`, but the true path is `tf.keras.optimizers.legacy`. Because of the conditional in the PR, we didn't notice the error, but it's resolved now!
Fixes #20847 | {
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"Hi @ZJaume, we saw this issue earlier but thought we had fixed it with #20735. I'll investigate now and see if I can reproduce it",
"Reproduced. The cause was a typo that's also present in the TF Changelog for 2.11, will push a PR now!",
"PR is up at #20848",
"@ZJaume Should be fixed now, thanks for the bug ... | 1,671 | 1,671 | 1,671 | NONE | null | ### System Info
- `transformers` version: 4.26.0.dev0
- Platform: Linux-4.15.0-200-generic-x86_64-with-glibc2.17
- Python version: 3.8.13
- Huggingface_hub version: 0.11.1
- PyTorch version (GPU?): 1.10.1+cu102 (True)
- Tensorflow version (GPU?): 2.11.0 (True)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
... | {
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https://api.github.com/repos/huggingface/transformers/issues/20846 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20846/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20846/comments | https://api.github.com/repos/huggingface/transformers/issues/20846/events | https://github.com/huggingface/transformers/pull/20846 | 1,504,402,711 | PR_kwDOCUB6oc5F2-mt | 20,846 | Deprecate `clean_up_tokenization_spaces` for BLOOM | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_20846). All of your documentation changes will be reflected on that endpoint.",
"Thanks for your PR! After thinking a little more about it and in terms of user experience, I'm happy to have the warning if you think the use-... | 1,671 | 1,675 | 1,674 | CONTRIBUTOR | null | # What does this PR do?
Currently in `transformers`:
```python
>>> tok.decode(tok.encode("Hello , there"))
'Hello, there' # notice the missing space between "Hello" and ","
>>> tok.decode(tok.encode("Hello , there"), clean_up_tokenization_spaces=False)
'Hello , there'
```
In order too prevent issues such as... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Slightly related, wondering if we shouldn't link from this Big Table to the corresponding task in hf.co/tasks? (cc @merveenoyan)"
] | 1,671 | 1,671 | 1,671 | CONTRIBUTOR | null | # What does this PR do?
This PR updates the "big table of tasks" by
- adding a hyperlink to each of the example datasets
- add "image pretraining", and the Colab link for semantic segmentation | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,671 | 1,671 | 1,671 | COLLABORATOR | null | # What does this PR do?
`Lilt`, `Longformer` and `Canine` only implements encoder-only task heads (QA, Sequence/Token classification etc.), and `use_cache` is not used in their modeling file. | {
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] | 1,671 | 1,671 | 1,671 | COLLABORATOR | null | # What does this PR do?
Fixes a bunch of failing doctest | {
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"I think I have a decent understanding of what is happening and just compiling my findings (Incase anyone else is confused?) and closing this issue.\r\n\r\n- The decoder_start_token_id is not the BOS token ID for BART. It means the token to start the decoding for BART. If the config.json is checked, it is actually ... | 1,671 | 1,671 | 1,671 | NONE | null | ### System Info
- `adapter-transformers` version: 3.0.1
- Platform: Linux-4.15.0-72-generic-ppc64le-with-debian-buster-sid
- Python version: 3.6.11
- PyTorch version (GPU?): 1.5.0 (True)
- Tensorflow version (GPU?): 2.2.0 (True)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not installed
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,671 | 1,671 | 1,671 | CONTRIBUTOR | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/20840 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20840/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20840/comments | https://api.github.com/repos/huggingface/transformers/issues/20840/events | https://github.com/huggingface/transformers/pull/20840 | 1,503,613,499 | PR_kwDOCUB6oc5F0XrO | 20,840 | Clarify `use_fast` parameter in docstring | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"> what happens if the architecture supports it but the model doesn't?\r\n\r\nHmm that's a good question! Do you happen to know if any of the other architectures have this issue or if it is just a bug with OPT? I'll remove the suggest... | 1,671 | 1,671 | 1,671 | MEMBER | null | This PR addresses the ambiguity of the `use_fast` parameter raised in #20817. | {
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https://api.github.com/repos/huggingface/transformers/issues/20839 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20839/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20839/comments | https://api.github.com/repos/huggingface/transformers/issues/20839/events | https://github.com/huggingface/transformers/pull/20839 | 1,503,514,786 | PR_kwDOCUB6oc5F0Bxn | 20,839 | fix typo output not ouput in bitsandbytes trainer test | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,671 | 1,671 | 1,671 | CONTRIBUTOR | null |
# What does this PR do?
fixes a typo in the trainer test for bitsandbytes that was causing an error on pytest collection
## Before submitting
- [ yes] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case). | {
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https://api.github.com/repos/huggingface/transformers/issues/20838 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20838/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20838/comments | https://api.github.com/repos/huggingface/transformers/issues/20838/events | https://github.com/huggingface/transformers/issues/20838 | 1,503,464,406 | I_kwDOCUB6oc5ZnQvW | 20,838 | TypeError: TextInputSequence must be str | {
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"Please use the [forums](https://discuss.huggingface.co/) to help debug your code or provide us with a short reproducer we can run. The notebook relies on credentials we do not have.",
"Closing the Issue. Resolved the error by replacing the dataset. There was some manually added extra values in the old dataset."
... | 1,671 | 1,672 | 1,672 | NONE | null | ### System Info
- `transformers` version: 4.23.1
- Platform: Linux-4.18.0-305.62.1.el8_4.x86_64-x86_64-with-glibc2.2.5
- Python version: 3.8.8
- Huggingface_hub version: 0.11.1
- PyTorch version (GPU?): 1.6.0 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (N... | {
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https://api.github.com/repos/huggingface/transformers/issues/20837 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20837/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20837/comments | https://api.github.com/repos/huggingface/transformers/issues/20837/events | https://github.com/huggingface/transformers/pull/20837 | 1,503,444,281 | PR_kwDOCUB6oc5FzyR- | 20,837 | Avoid collisions in writing metrics via 2 APIs - azureml + mlflow | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@sgugger thanks, I suppose I need to get a circleci account first? I can take a look tomorrow or feel free to merge this small change with an account someone already has",
"@sgugger I have signed up and connected circleci, and the ... | 1,671 | 1,672 | 1,672 | CONTRIBUTOR | null | MLflow tracking API is enabled by default in AzureML and HF MLflow integration is more fully featured. I'd remove the AzureML integration but leaving the current behavior for backwards compatibility (though it should really be removed)
# What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/20836 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20836/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20836/comments | https://api.github.com/repos/huggingface/transformers/issues/20836/events | https://github.com/huggingface/transformers/pull/20836 | 1,503,344,167 | PR_kwDOCUB6oc5FzcE3 | 20,836 | Remove unused `max_position_embeddings ` in config classes | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,671 | 1,671 | 1,671 | COLLABORATOR | null | # What does this PR do?
Similar to #20596 and #20554, but here we removed unused `max_position_embeddings`. | {
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https://api.github.com/repos/huggingface/transformers/issues/20835 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20835/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20835/comments | https://api.github.com/repos/huggingface/transformers/issues/20835/events | https://github.com/huggingface/transformers/pull/20835 | 1,503,304,955 | PR_kwDOCUB6oc5FzT5g | 20,835 | [mBART] fix erroneous italics in docstring | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,671 | 1,671 | 1,671 | CONTRIBUTOR | null | # What does this PR do?
Corrects tensor dims from italics to code-blocks in the mBART doctoring, as discussed in https://github.com/huggingface/transformers/pull/20787#discussion_r1050620673.
The changes as applied to mBART are contained in https://github.com/huggingface/transformers/pull/20835/commits/284e13af61... | {
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https://api.github.com/repos/huggingface/transformers/issues/20834 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20834/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20834/comments | https://api.github.com/repos/huggingface/transformers/issues/20834/events | https://github.com/huggingface/transformers/issues/20834 | 1,503,287,853 | I_kwDOCUB6oc5Zmlot | 20,834 | my colab do not load new notebook it has bug | {
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#hi
i am university student and need colab please help me i can not open new notebook in colab .
do not load new notebook ,....
thanks
shahrzad.setayesh88@gmail.com
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [X] My own modified scripts
### Tasks
- ... | {
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https://api.github.com/repos/huggingface/transformers/issues/20833 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20833/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20833/comments | https://api.github.com/repos/huggingface/transformers/issues/20833/events | https://github.com/huggingface/transformers/pull/20833 | 1,503,151,591 | PR_kwDOCUB6oc5Fyywq | 20,833 | [DETR and friends] Use AutoBackbone as alternative to timm | {
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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... | 1,671 | 1,674 | 1,674 | CONTRIBUTOR | null | # What does this PR do?
This PR makes it possible to leverage our own backbone classes, like ResNet or Swin Transformer, instead of relying on timm for the following models:
- DETR
- Conditional DETR
- Deformable DETR
- Table Transformer
This allows people to use these frameworks without having to rely on th... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_20832). All of your documentation changes will be reflected on that endpoint.",
"Please make sure to run `make style` on your branch so that the quality tests pass.\r\ncc @gante for review.",
"Sure, I will do it soon toge... | 1,671 | 1,677 | 1,677 | CONTRIBUTOR | null | # What does this PR do?
Looking at source code they seem to be int not float?
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"While I understand the idea of grouping related arguments together, the proposed approach is very functional, which is not something we use anywhere in the Transformers library. So this API would be at odds with the rest of Transformers.\r\n\r\nHappy to explore other ways to group related arguments together howeve... | 1,671 | 1,678 | 1,678 | CONTRIBUTOR | null | ### Feature request
Provide a fluent API for defining the training arguments for the Trainer class.
Instead of writing:
```
arguments = TrainingArguments(output_dir="output",
do_train=True,
do_eval=True,
evaluation_strat... | {
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https://api.github.com/repos/huggingface/transformers/issues/20830 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20830/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20830/comments | https://api.github.com/repos/huggingface/transformers/issues/20830/events | https://github.com/huggingface/transformers/issues/20830 | 1,502,787,647 | I_kwDOCUB6oc5Zkrg_ | 20,830 | Pipeline support for image similarity | {
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"Ccing @NielsRogge @osanseviero @nateraw ",
"We don't currently have a `text-similarity`/`sentence-similarity` pipeline either, right? I think for that task, folks use the `feature-extraction` pipeline to get embeddings, then just compute the similarity. [Here's an example.](https://huggingface.co/optimum/sbert-a... | 1,671 | 1,676 | 1,676 | MEMBER | null | ### Feature request
Given that we have a [tutorial notebook on image similarity](https://colab.research.google.com/github/huggingface/notebooks/blob/main/examples/image_similarity.ipynb) and an [upcoming blog post](https://github.com/huggingface/blog/pull/663), and given the usefulness of the use case, it's time we ... | {
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https://api.github.com/repos/huggingface/transformers/issues/20829 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20829/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20829/comments | https://api.github.com/repos/huggingface/transformers/issues/20829/events | https://github.com/huggingface/transformers/pull/20829 | 1,502,754,108 | PR_kwDOCUB6oc5Fxbzx | 20,829 | [Swin2SR] Add doc tests | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Yeah I remember a discussion with @patrickvonplaten and @sanchit-gandhi, I used `Swin2SRImageProcessor` here instead of the Auto class to make it more explicit. \r\n\r\nBut happy to change. For me, the Auto API is handy when a model ... | 1,671 | 1,671 | 1,671 | CONTRIBUTOR | null | # What does this PR do?
This PR adds Swin2SR to the doc tests. | {
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https://api.github.com/repos/huggingface/transformers/issues/20828 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20828/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20828/comments | https://api.github.com/repos/huggingface/transformers/issues/20828/events | https://github.com/huggingface/transformers/issues/20828 | 1,502,706,367 | I_kwDOCUB6oc5ZkXq_ | 20,828 | GPT Neo - no attention weights scaling in pytorch implementation of GPT Neo | {
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"Do you have a source available that says they do use scaling here? Though it is common practice, I don't think it is necessarily required.",
"Yes, it seems you are right. Originally they use mesh_tensorflow realization of multi-head self-attention in which i don't see such scaling.\r\n\r\nBut at the same time in... | 1,671 | 1,671 | 1,671 | NONE | null | It seems that there is no scaling of attention weights in GPT-Neo implementation of SelfAttention. Probably https://github.com/huggingface/transformers/blob/main/src/transformers/models/gpt_neo/modeling_gpt_neo.py#L188 should be modified as follows:
```
attn_weights = torch.matmul(query, key.transpose(-1, -2))
scal... | {
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https://api.github.com/repos/huggingface/transformers/issues/20827 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20827/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20827/comments | https://api.github.com/repos/huggingface/transformers/issues/20827/events | https://github.com/huggingface/transformers/pull/20827 | 1,502,658,866 | PR_kwDOCUB6oc5FxHIG | 20,827 | add: task guide on video classification model fine-tuning. | {
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"@nateraw I leveraged the video classification pipeline with the custom fine-tuned model and a URL from the [UCF-101 subset](https://huggingface.co/datasets/sayakpaul/ucf101-subset) (`avi` format). It worked like a charm! ๐ฅ",
"_The documentation is not available anymore as the PR was closed or merged._",
"@MKh... | 1,671 | 1,672 | 1,672 | MEMBER | null | This PR adds a task guide on fine-tuning video classification models. | {
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https://api.github.com/repos/huggingface/transformers/issues/20826 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20826/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20826/comments | https://api.github.com/repos/huggingface/transformers/issues/20826/events | https://github.com/huggingface/transformers/pull/20826 | 1,502,656,750 | PR_kwDOCUB6oc5FxGqn | 20,826 | Add-warning-tokenizer | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Should I just change the argument? \r\nI'm in favor of raising an issue rather than a warning here, WDYT? ",
"No I was talking about the docstring, but this is actually addressed by another PR. We can't suddenly raise an error for ... | 1,671 | 1,671 | 1,671 | COLLABORATOR | null | # What does this PR do?
Adds a warning when the user wants to use a fast tokenizer but it doesn't exist. Should help with #20817 | {
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https://api.github.com/repos/huggingface/transformers/issues/20825 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20825/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20825/comments | https://api.github.com/repos/huggingface/transformers/issues/20825/events | https://github.com/huggingface/transformers/pull/20825 | 1,502,641,062 | PR_kwDOCUB6oc5FxDOf | 20,825 | [`FSMT`] Make it compatible with `xxxForConditionalGeneration` models | {
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"I think that `inputs_embed` cannot be added as T5, since [positional embeddings needs to be computed too](https://github.com/huggingface/transformers/blob/ecd7de3dff7ea5713004b2f05e3869c24b8eb6e2/src/transformers/models/fsmt/modeling_fsmt.py#L721), and this requires having `input_ids`, except if the user can pass ... | 1,671 | 1,671 | 1,671 | CONTRIBUTOR | null | # What does this PR do?
Fixes https://github.com/huggingface/transformers/issues/20824
`FSMT` model is an encoder-decoder model. Most of `xxxForConditionalGeneration` models can use `decoder_inputs_embeds` and `inputs_embeds` in replacement respectively of `input_ids` and `decoder_input_ids`.
`FSMT` does not ... | {
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https://api.github.com/repos/huggingface/transformers/issues/20824 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20824/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20824/comments | https://api.github.com/repos/huggingface/transformers/issues/20824/events | https://github.com/huggingface/transformers/issues/20824 | 1,502,622,885 | I_kwDOCUB6oc5ZkDSl | 20,824 | FSTM compatibility issues with other `ForConditionalGeneration` models | {
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The implementation of FSMT models like [`facebook/wmt19-en-de`](https://huggingface.co/facebook/wmt19-en-de) is atypical with respect to different aspects that are normally supported in other `ForConditionalGeneration` models. In particular:
- Both `FSMTModel` and `FSMTForConditionalGeneration` la... | {
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https://api.github.com/repos/huggingface/transformers/issues/20823 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20823/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20823/comments | https://api.github.com/repos/huggingface/transformers/issues/20823/events | https://github.com/huggingface/transformers/pull/20823 | 1,502,595,616 | PR_kwDOCUB6oc5Fw5o5 | 20,823 | [OPT] Adds `GPT2TokenizerFast` to the list of tokenizer to use for OPT. | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"The previous tests were passing but the tokenizer was `slow` were it should have been `fast` ๐
",
"a gentle ping here, as the m4 group needs to have all official opt models to support fast tokenizers.\r\n\r\nThank you, @ArthurZuck... | 1,671 | 1,677 | 1,675 | COLLABORATOR | null | # What does this PR do?
Adresses the issues with OPT where `use_fast = True` does not use the Fast GPT2 tokenizer.
A follow PR should add a warning when the Fast tokenizer is not available.
This should allow people to do :
```python
>>> from transformers import AutoTokenizers
>>> tok = AutoTokenizer.from_pr... | {
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"Hi. I am interested in working on this."
] | 1,671 | 1,684 | null | NONE | null | ### Model description
Hi,
I am thinking of training a mobileBERT model from scratch for the German language. Can I use the [English mobileBERT model from HuggingFace](https://huggingface.co/google/mobilebert-uncased) to apply it to a dataset in another language? It makes sense that I would have to adapt the teacher m... | {
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https://api.github.com/repos/huggingface/transformers/issues/20821 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20821/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20821/comments | https://api.github.com/repos/huggingface/transformers/issues/20821/events | https://github.com/huggingface/transformers/issues/20821 | 1,502,556,371 | I_kwDOCUB6oc5ZjzDT | 20,821 | Write inference evaluation | {
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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... | 1,671 | 1,674 | 1,674 | CONTRIBUTOR | null | ### Feature request
This feature request is strongly inspired by T5X. They write a log every time they do an evaluation. The log is a json-lines-file that is saved in inference_eval/task-1000.jsonl. "task" is the current task, and "1000" is the checkpoint. The file is generic, and looks like this:
```json
{
"inpu... | {
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https://api.github.com/repos/huggingface/transformers/issues/20820 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20820/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20820/comments | https://api.github.com/repos/huggingface/transformers/issues/20820/events | https://github.com/huggingface/transformers/issues/20820 | 1,502,405,956 | I_kwDOCUB6oc5ZjOVE | 20,820 | (Will make a PR) `BeamScorer` is super slow and takes 2x time compared with model itself, and can speed up by 1000% | {
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"cc @gante ",
"Update: I made a vectorized version of BeamScorer.\r\n\r\n## Performance results: 1000% faster\r\n\r\n<details>\r\n\r\n### MyBeamSearchScorer: 0.45s\r\n\r\n\r\n\r\n### BeamSearchScorer: 5.7... | 1,671 | 1,677 | 1,677 | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.25.1
- Platform: Linux-4.15.0-142-generic-x86_64-with-glibc2.23
- Python version: 3.10.0
- Huggingface_hub version: 0.11.1
- PyTorch version (GPU?): 1.13.0+cu117 (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/20819 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20819/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20819/comments | https://api.github.com/repos/huggingface/transformers/issues/20819/events | https://github.com/huggingface/transformers/pull/20819 | 1,502,207,877 | PR_kwDOCUB6oc5FvlZH | 20,819 | Add `min_new_tokens` argument in generate() implementation | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"(Note: this PR depends on the resolution of https://github.com/huggingface/transformers/issues/20814, so I'm waiting for it before I review this one)",
"> (Note: this PR depends on the resolution of #20814, so I'm waiting for it be... | 1,671 | 1,673 | 1,673 | CONTRIBUTOR | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/20818 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20818/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20818/comments | https://api.github.com/repos/huggingface/transformers/issues/20818/events | https://github.com/huggingface/transformers/pull/20818 | 1,502,058,713 | PR_kwDOCUB6oc5FvFBH | 20,818 | [clip] fix error message | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,671 | 1,671 | 1,671 | CONTRIBUTOR | null | This PR is fixing the error message:
```
You have to specify either input_ids
```
which in the code doesn't have any `either` options that I can see, so probably it was there by mistake.
@sgugger | {
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https://api.github.com/repos/huggingface/transformers/issues/20817 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20817/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20817/comments | https://api.github.com/repos/huggingface/transformers/issues/20817/events | https://github.com/huggingface/transformers/issues/20817 | 1,502,003,006 | I_kwDOCUB6oc5Zhr8- | 20,817 | `AutoTokenizer` not enforcing `use_fast=True` | {
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"The name has been around for so long that we won't change it. It's not ideal but it is what is ๐คทโโ๏ธ We can definitely improve the documentation however!\r\n\r\nUnrelated: why does OPT not create the fast tokenizer on the fly from the slow one @ArthurZucker ? This seems like abug.",
"It is indeed a bug and peop... | 1,671 | 1,678 | 1,678 | CONTRIBUTOR | null | This issue is about `AutoTokenizer` not enforcing `use_fast=True`.
This works:
```
$ python -c "from transformers import AutoTokenizer; t=AutoTokenizer.from_pretrained('facebook/opt-13b', use_fast=True); \
assert t.is_fast, 'tokenizer is not fast'; print('Success')"
Success
```
now the same code, but a di... | {
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https://api.github.com/repos/huggingface/transformers/issues/20816 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20816/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20816/comments | https://api.github.com/repos/huggingface/transformers/issues/20816/events | https://github.com/huggingface/transformers/pull/20816 | 1,501,954,483 | PR_kwDOCUB6oc5FuwIW | 20,816 | Add visual prompt to processor of CLIPSeg model | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Hi @alaradirik, thanks for the review! Added a test to [test_processor_clipseg.py](https://github.com/huggingface/transformers/blob/main/tests/models/clipseg/test_processor_clipseg.py) as well.",
"> \r\n\r\nHello @sgugger - I am aw... | 1,671 | 1,671 | 1,671 | CONTRIBUTOR | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/20815 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20815/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20815/comments | https://api.github.com/repos/huggingface/transformers/issues/20815/events | https://github.com/huggingface/transformers/issues/20815 | 1,501,884,120 | I_kwDOCUB6oc5ZhO7Y | 20,815 | Cannot export Deberta to TorchScript | {
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"Yes, this model is not compatible with torchscript, cc @ArthurZucker ",
"Thanks, will take that into account when refactoring",
"Go away stalebot",
"Any update here?",
"Just started working on this! ๐ ",
"Sorry! Seem like I had to postpone this! If anyone want to take over feel free to do it, otherwise ... | 1,671 | 1,706 | null | NONE | null | ### System Info
`transformers-cli env`
```
- `transformers` version: 4.10.2
- Platform: Linux-3.10.0-1127.18.2.el7.x86_64-x86_64-with-glibc2.23
- Python version: 3.9.13
- PyTorch version (GPU?): 1.9.0 (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/20814 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20814/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20814/comments | https://api.github.com/repos/huggingface/transformers/issues/20814/events | https://github.com/huggingface/transformers/issues/20814 | 1,501,841,267 | I_kwDOCUB6oc5ZhEdz | 20,814 | `min_new_tokens` argument in generate() implementation | {
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"I have made a PR #20819 to add this augment to the `generate()` implementation. r",
"Hey @kotikkonstantin ๐ Can you open a PR with your proposed `MinNewTokensLengthLogitsProcessor`? It looks good to me, except for one detail -- it shouldn't inherit from `MinLengthLogitsProcessor`, as our long run goal is to dep... | 1,671 | 1,673 | 1,673 | CONTRIBUTOR | null | ### Feature request
As many said:
- [link1](https://github.com/huggingface/transformers/issues/20614) cc @silverriver
- [link2](https://github.com/huggingface/transformers/issues/20756) cc @gonced8
A new parameter `min_new_tokens` to the `.generate()` method to limit the length of newly generated tokens. The cu... | {
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https://api.github.com/repos/huggingface/transformers/issues/20813 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20813/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20813/comments | https://api.github.com/repos/huggingface/transformers/issues/20813/events | https://github.com/huggingface/transformers/issues/20813 | 1,501,819,040 | I_kwDOCUB6oc5Zg_Cg | 20,813 | Relative path causes error when calling push_to_hub to upload a custom model | {
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"I'm not too sure I understand your use case. The code sample you provide is indeed not supported as you are just re-using the code of the library, so you should just remove the line registering your new model. When defining a custom model, the modeling file will be exported in the repo and shouldn't indeed contain... | 1,671 | 1,671 | 1,671 | NONE | null | ### System Info
- `transformers` version: 4.24.0
- Platform: macOS-10.16-x86_64-i386-64bit
- Python version: 3.9.15
- Huggingface_hub version: 0.11.1
- PyTorch version (GPU?): 1.12.1 (False)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not ... | {
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https://api.github.com/repos/huggingface/transformers/issues/20812 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20812/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20812/comments | https://api.github.com/repos/huggingface/transformers/issues/20812/events | https://github.com/huggingface/transformers/pull/20812 | 1,501,641,046 | PR_kwDOCUB6oc5FtvQM | 20,812 | Add visual prompt to clipseg processor | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,671 | 1,671 | 1,671 | CONTRIBUTOR | null | # What does this PR do?
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,671 | 1,671 | 1,671 | 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/20810 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20810/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20810/comments | https://api.github.com/repos/huggingface/transformers/issues/20810/events | https://github.com/huggingface/transformers/issues/20810 | 1,501,604,736 | I_kwDOCUB6oc5ZgKuA | 20,810 | group_by_length in Seq2SeqTrainer | {
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"\n\nSpiking loss example ",
"I am not too sure where the bugs lies here. The training loss with samples of varying length will always be noisy. If we had a shuffle you will see random spikes instead of... | 1,671 | 1,683 | 1,674 | NONE | null | ### System Info
Hey, huggingface team!
- `transformers` version: 4.24.0
- Platform: Linux-5.4.0-132-generic-x86_64-with-glibc2.31
- Python version: 3.9.16
- Huggingface_hub version: 0.11.1
- PyTorch version (GPU?): 1.11.0+cu113 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?... | {
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https://api.github.com/repos/huggingface/transformers/issues/20809 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20809/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20809/comments | https://api.github.com/repos/huggingface/transformers/issues/20809/events | https://github.com/huggingface/transformers/pull/20809 | 1,501,594,062 | PR_kwDOCUB6oc5FtlvQ | 20,809 | [WIP] RWKV4Neo the RNN and GPT Hybrid Model | {
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"Hi @ArEnSc !\r\nThanks for starting over the PR ๐ช \r\nLet us know whenever you need help with @ArthurZucker !\r\n",
"> Hi @ArEnSc ! Thanks for starting over the PR ๐ช Let us know whenever you need help with @ArthurZucker !\r\n\r\nWill do still doing some research, just figured out how the training notebook work... | 1,671 | 1,684 | 1,684 | CONTRIBUTOR | null | # What does this PR do?
Adds the model from issue
Fixes # (https://github.com/huggingface/transformers/issues/20737)
## 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/hug... | {
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"@ArthurZucker Hi Arthur, I just saw you self-assigned this ticket, were you already able to reproduce this error? Do you need any further information/ context?\r\nThank you very much!\r\nBest regards, \r\nMarcel",
"Hey, I didn't have the chance to do so yet! If you could provide me with a minimal reproducing scr... | 1,671 | 1,682 | 1,673 | NONE | null | ### System Info
Running on private server with no public internet access
transformers version: 4.25.1
Platform: RHEL 7.9
Python version: 3.8.12
Huggingface_hub version: 0.11.1
Torch version: 1.13.0
nvidia-cublas-cu11: 11.10.3.66
nvidia-cuda-nvrtc-cu11: 11.7.99
nvidia-cuda-runtime-cu11: ... | {
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https://api.github.com/repos/huggingface/transformers/issues/20807 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20807/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20807/comments | https://api.github.com/repos/huggingface/transformers/issues/20807/events | https://github.com/huggingface/transformers/issues/20807 | 1,501,221,981 | I_kwDOCUB6oc5ZetRd | 20,807 | How to finetune MBART on an single language? | {
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"Please use the [forums](https://discuss.huggingface.co/) for question like this, the whole community will be there to help! We keep issues for bugs and feature requests only :-)",
"@sgugger Thank you\r\nI asked the same in forum, but no response there. If anyone know here, can suggest.",
"This issue has been a... | 1,671 | 1,674 | 1,674 | CONTRIBUTOR | null | Hello,
Can anyone please suggest, how can I finetune MBART for a specific language.
I found this Asian Bert repo. https://github.com/hyunwoongko/asian-bart
where they used MBART (using [mBart](https://arxiv.org/abs/2001.08210) by embedding layer pruning) for single language.
I want to do the same.
I am unable... | {
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https://api.github.com/repos/huggingface/transformers/issues/20806 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20806/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20806/comments | https://api.github.com/repos/huggingface/transformers/issues/20806/events | https://github.com/huggingface/transformers/pull/20806 | 1,501,044,049 | PR_kwDOCUB6oc5Fr2l7 | 20,806 | Add AWS Neuron torchrun support | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@jeffhataws could you maybe please explain a bit more about how users would benefit from that? I quickly checked the [HF tutorial](https://awsdocs-neuron.readthedocs-hosted.com/en/latest/frameworks/torch/torch-neuronx/tutorials/train... | 1,671 | 1,674 | 1,674 | CONTRIBUTOR | null | # What does this PR do?
This PR adds support for torchrun for AWS Neuron SDK.
Existing [HF tutorial](https://awsdocs-neuron.readthedocs-hosted.com/en/latest/frameworks/torch/torch-neuronx/tutorials/training/finetune_hftrainer.html) for Neuron SDK requires users to modify the HF example script (ie run_glue.py). Th... | {
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https://api.github.com/repos/huggingface/transformers/issues/20805 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20805/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20805/comments | https://api.github.com/repos/huggingface/transformers/issues/20805/events | https://github.com/huggingface/transformers/issues/20805 | 1,500,478,390 | I_kwDOCUB6oc5Zb3u2 | 20,805 | Add Object Detection task tutorial to the transformers documentation | {
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"This looks great to me, looking forward to seeing the guide and let me know if there is anything I can help with! ๐ \r\n\r\nI would recommend using DETR since it is a lot more popular than YOLOS (263k downloads versus 28.4k).",
"@stevhliu That's a good reason to go with DETR, thanks for the tip! ",
"The issue... | 1,671 | 1,673 | 1,673 | CONTRIBUTOR | null | Currently, the transformers documentation has two how-to guides for CV tasks - image classification and semantic segmentation. Transformers support other CV tasks, such as object detection. This issue describes a proposal to add a how-to guide for object detection similar in structure to the existing guides to help the... | {
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https://api.github.com/repos/huggingface/transformers/issues/20804 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20804/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20804/comments | https://api.github.com/repos/huggingface/transformers/issues/20804/events | https://github.com/huggingface/transformers/pull/20804 | 1,500,465,420 | PR_kwDOCUB6oc5Fp4y4 | 20,804 | Generate: post-generate config doctest fix | {
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"Just a question, so if users do things in the old way like\r\n\r\n```\r\nmodel.config.pad_token_id = model.config.eos_token_id\r\n```\r\nthey might get different results before/after the generation config PR ..?",
"_The documentation is not available anymore as the PR was closed or merged._",
"> Just a questio... | 1,671 | 1,671 | 1,671 | MEMBER | null | # What does this PR do?
Fixes doctests that were broken as a result of the `generation_config` PR merge.
Note: the failing pipeline test was fixing by adding a missing field to `gpt2`'s `generate_config.json` (which was created before these recent `generation_config` changes). See [this hub commit](https://huggin... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,671 | 1,677 | 1,671 | CONTRIBUTOR | null | # What does this PR do?
This PR forces some modules to be initialised on the correct place (i.e. on the `_init_weights` method).
With more vision models being added, contributors are copying the practice to initialise some weights outside `_init_weights`. I think that we should centralize weights initialisation on... | {
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https://api.github.com/repos/huggingface/transformers/issues/20802 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20802/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20802/comments | https://api.github.com/repos/huggingface/transformers/issues/20802/events | https://github.com/huggingface/transformers/pull/20802 | 1,500,211,825 | PR_kwDOCUB6oc5FpBFr | 20,802 | Use `baddbmm` to reduce the number of kernel calls when running T5 | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Arf turns out this doesn't work without having extra copies. Closing as I'm not sure if it's worth it."
] | 1,671 | 1,671 | 1,671 | CONTRIBUTOR | null | # What does this PR do?
Reduce the number of kernel calls by using `baddbmm` and built-in `F.softmax(..., dtype=torch.float))`
## 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... | {
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https://api.github.com/repos/huggingface/transformers/issues/20801 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20801/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20801/comments | https://api.github.com/repos/huggingface/transformers/issues/20801/events | https://github.com/huggingface/transformers/pull/20801 | 1,500,207,885 | PR_kwDOCUB6oc5FpAOA | 20,801 | Add script to convert T5X T5 (v1.0 and v1.1) checkpoints to PyTorch | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"I could use some clarification on the following: I'm missing a configuration option for T5 for the 1.0/original T5 checkpoints to have an `lm_head` that shares parameters with the token embeddings.\r\n\r\nCurrently there is `T5Model`... | 1,671 | 1,671 | 1,671 | CONTRIBUTOR | null | # What does this PR do?
Adds a script that can convert Google T5X (Flax) T5 and T5-v1.1 checkpoints into PyTorch checkpoints.
This allows users to convert non-standard checkpoints that have been trained with T5X and use them with the Transformers library in PyTorch.
Usage:
- In case you don't have `gsutil`, i... | {
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https://api.github.com/repos/huggingface/transformers/issues/20800 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20800/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20800/comments | https://api.github.com/repos/huggingface/transformers/issues/20800/events | https://github.com/huggingface/transformers/pull/20800 | 1,500,172,380 | PR_kwDOCUB6oc5Fo4fN | 20,800 | Fix whisper export | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"cc @ArthurZucker ",
"Hey, would you mind adding a bit more context? What is the issue related to current export? ",
"> Hey, would you mind adding a bit more context? What is the issue related to current export?\r\n\r\nHi @ArthurZ... | 1,671 | 1,671 | 1,671 | CONTRIBUTOR | null | # What does this PR do?
Fix the export for the whisper model
The current export for whisper fails with error `Invalid Feed Input Name:past_key_values.3.encoder.value`, because the cross attention key values are not exported as input in the ONNX model after the new condition introduced in the [transformers@97a51](... | {
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https://api.github.com/repos/huggingface/transformers/issues/20799 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20799/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20799/comments | https://api.github.com/repos/huggingface/transformers/issues/20799/events | https://github.com/huggingface/transformers/issues/20799 | 1,500,044,974 | I_kwDOCUB6oc5ZaN6u | 20,799 | ImportError: cannot import name 'AutoModelForMaskedLM' from 'transformers' (unknown location) | {
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"Hi @medlen \r\nThanks for raising the issue! \r\nYour installation might be broken, as I managed to import `AutoModelForMaskedLM` with `transformers==4.4.2` using the same hardware specs as you:\r\n```\r\n>>> import transformers\r\n>>> transformers.__version__\r\n'4.4.2'\r\n>>> from transformers import AutoModelFo... | 1,671 | 1,676 | 1,676 | NONE | null | ### System Info
Environment:
```
python 3.8
transformers==4.4.2
ubuntu 20.04
cuda 11.3
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2021 NVIDIA Corporation
Built on Mon_May__3_19:15:13_PDT_2021
Cuda compilation tools, release 11.3, V11.3.109
Build cuda_11.3.r11.3/compiler.29920130_0
+-----... | {
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https://api.github.com/repos/huggingface/transformers/issues/20798 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20798/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20798/comments | https://api.github.com/repos/huggingface/transformers/issues/20798/events | https://github.com/huggingface/transformers/pull/20798 | 1,499,917,399 | PR_kwDOCUB6oc5Fn_7V | 20,798 | Fix object detection2 | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"> Thanks, looks great!\r\n> \r\n> Since when is LayoutLM supported by the object detection pipeline? :D\r\n\r\nhttps://github.com/huggingface/transformers/pull/20143"
] | 1,671 | 1,671 | 1,671 | CONTRIBUTOR | null |
# What does this PR do?
Fixes https://github.com/huggingface/transformers/pull/20776 better.
- Reverts the previous PR.
- The previous model was using a mix of LayoutLM and LayoutLMv2 leading to a bit of madness. The previous fix was wrong
because it made other pipelines try to load the feature extractor wh... | {
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https://api.github.com/repos/huggingface/transformers/issues/20797 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20797/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20797/comments | https://api.github.com/repos/huggingface/transformers/issues/20797/events | https://github.com/huggingface/transformers/issues/20797 | 1,499,907,483 | I_kwDOCUB6oc5ZZsWb | 20,797 | MaskedLM models doesn't output CLS and weights not initialized in MaskedLM models | {
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"Hey! This is expected, you should be using the following : \r\n```python \r\nfrom transformers import pipeline\r\nunmasker = pipeline('fill-mask', model='bert-base-uncased')\r\nunmasker(\"Hello my name [MASK] Jhon, how can I [MASK] you?\")\r\n```\r\n\r\n```python \r\n[[{'score': 0.8831212520599365,\r\n 'sequence... | 1,671 | 1,671 | 1,671 | NONE | null | ### System Info
- `transformers` version: 4.25.1
- Platform: Linux-5.15.0-56-generic-x86_64-with-glibc2.31
- Python version: 3.9.15
- Huggingface_hub version: 0.11.1
- PyTorch version (GPU?): 1.13.0+cu117 (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/20796 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20796/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20796/comments | https://api.github.com/repos/huggingface/transformers/issues/20796/events | https://github.com/huggingface/transformers/pull/20796 | 1,499,878,858 | PR_kwDOCUB6oc5Fn3dg | 20,796 | lazy import torch._softmax_backward_data for better compatibility | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@sgugger thanks for your review! Tests all pass now"
] | 1,671 | 1,676 | 1,671 | 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/20795 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20795/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20795/comments | https://api.github.com/repos/huggingface/transformers/issues/20795/events | https://github.com/huggingface/transformers/pull/20795 | 1,499,854,725 | PR_kwDOCUB6oc5FnyMt | 20,795 | Install `sentencepiece` in `DeepSpeed` CI image | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"It's done :-) as suggested"
] | 1,671 | 1,671 | 1,671 | COLLABORATOR | null | # What does this PR do?
Install `sentencepiece` in `DeepSpeed` CI image.
- The new base image has no `sentencepiece` pre-installed, but it's required for DeepSpeed CI tests
- With this PR, the tests all pass (on single GPU runner) | {
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https://api.github.com/repos/huggingface/transformers/issues/20794 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20794/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20794/comments | https://api.github.com/repos/huggingface/transformers/issues/20794/events | https://github.com/huggingface/transformers/issues/20794 | 1,499,853,359 | I_kwDOCUB6oc5ZZfIv | 20,794 | When I use the following code on tpuvm and use model.generate() to infer, the speed is very slow. It seems that the tpu is not used. What is the problem? | {
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"cc @gante and @sanchit-gandhi ",
"Hey @joytianya! Sorry about the late reply here! Cool to see that you're using the Flax MT5 model!\r\n\r\nThe big speed-up from using JAX on TPU comes from JIT compiling a function: https://jax.readthedocs.io/en/latest/jax-101/02-jitting.html. It's worth reading this guide to ge... | 1,671 | 1,684 | 1,684 | NONE | null | ### System Info
When I use the following code on tpuvm and use model.generate() to infer, the speed is very slow. It seems that the tpu is not used. What is the problem?
jax device is exist
```python
import jax
num_devices = jax.device_count()
device_type = jax.devices()[0].device_kind
assert "TPU" in device_typ... | {
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https://api.github.com/repos/huggingface/transformers/issues/20793 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20793/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20793/comments | https://api.github.com/repos/huggingface/transformers/issues/20793/events | https://github.com/huggingface/transformers/issues/20793 | 1,499,813,284 | I_kwDOCUB6oc5ZZVWk | 20,793 | is:issue is:open Parameters which did not receive grad for rank 5: encoder.block.0.layer.0.TransientGlobalSelfAttention.global_relative_attention_bias.weight | {
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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... | 1,671 | 1,675 | 1,674 | NONE | null | ### System Info
- `transformers` version: 4.24.0
- Platform: Linux-5.15.0-56-generic-x86_64-with-glibc2.31
- Python version: 3.9.13
- Huggingface_hub version: 0.11.0
- PyTorch version (GPU?): 1.13.0+cu117 (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/20792 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20792/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20792/comments | https://api.github.com/repos/huggingface/transformers/issues/20792/events | https://github.com/huggingface/transformers/pull/20792 | 1,499,674,633 | PR_kwDOCUB6oc5FnLLt | 20,792 | Add Mask2Former | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Gently pinging @sgugger here for a final review.",
"> Thanks for adding this new model! I have a couple of nits but nothing major, this is very clean already!\r\n\r\n@sgugger Thanks for the review! I have resolved all comments from... | 1,671 | 1,673 | 1,673 | CONTRIBUTOR | null | # What does this PR do?
Adds Mask2Former to transformers.
Original repo: https://github.com/facebookresearch/Mask2Former/
Paper: https://arxiv.org/abs/2112.01527
Co-authored with @shivalikasingh95
To Do:
- [x] Fix model tests (hidden state shapes, loading the config)
- [X] Test model, visualize outputs
- [... | {
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https://api.github.com/repos/huggingface/transformers/issues/20791 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20791/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20791/comments | https://api.github.com/repos/huggingface/transformers/issues/20791/events | https://github.com/huggingface/transformers/pull/20791 | 1,499,258,502 | PR_kwDOCUB6oc5FlxQv | 20,791 | Embed circle packing chart for model summary | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"I think the number of downloads dictates the size, right?\r\n\r\nImpressive! I like how visual it is. Makes it understandable straight away. I guess a potential improvement would be to be able to read the subcategories without first ... | 1,671 | 1,671 | 1,671 | MEMBER | null | This PR embeds an interactive chart of the most popular models by modality so users have a nice high-level visual overview of the ๐ค Transformers modelscape. | {
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https://api.github.com/repos/huggingface/transformers/issues/20790 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20790/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20790/comments | https://api.github.com/repos/huggingface/transformers/issues/20790/events | https://github.com/huggingface/transformers/pull/20790 | 1,499,183,949 | PR_kwDOCUB6oc5FlgyR | 20,790 | [Pipeline] skip feature extraction test if in `IMAGE_PROCESSOR_MAPPING` | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thanks\r\nI am not sure about how do we want to approach that exactly, but I think that's the plan at some point cc @amyeroberts :D ",
"> Thanks I am not sure about how do we want to approach that exactly, but I think that's the pl... | 1,671 | 1,671 | 1,671 | CONTRIBUTOR | null | # What does this PR do?
Fixes the [following failing test](https://app.circleci.com/pipelines/github/huggingface/transformers/53884/workflows/8df76bfb-b6d2-493e-afdf-257b59672b02/jobs/648580)
## Context:
Currently `FeatureExtractionPipelineTests` are skipped for multi-modal models by checking if the model conf... | {
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"The CLI is not supported this way, you should run `transformers-cli env`.",
"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 guide... | 1,671 | 1,674 | 1,674 | NONE | null | ### System Info
OS: Ubuntu 22.04; Python version: Python 3.10.6
### Who can help?
_No response_
### Information
- [X] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or dataset (give detai... | {
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https://api.github.com/repos/huggingface/transformers/issues/20788 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20788/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20788/comments | https://api.github.com/repos/huggingface/transformers/issues/20788/events | https://github.com/huggingface/transformers/pull/20788 | 1,498,850,705 | PR_kwDOCUB6oc5FkXgo | 20,788 | Recompile `apex` in `DeepSpeed` CI image | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,671 | 1,671 | 1,671 | COLLABORATOR | null | # What does this PR do?
The based image ships with a version of `apex`. We need to recompile the new version for torch 1.13 though.
This should fix some CI failures, but not all - we will check again the CI report in the next run, if this is ok for you @stas00. Otherwise I can run the full suite locally, and disc... | {
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] | 1,671 | 1,687 | 1,671 | CONTRIBUTOR | null | # What does this PR do?
Adds 'copied from MBart' statements to Speech2TextEncoderLayer and Speech2TextDecoderLayer.
Since the WhisperEncoderLayer and WhisperDecoderLayer are copied from Speech2Text, these classes are updated with 'copied from MBart' statements to minimise the chain of 'copied from' statements.
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,671 | 1,671 | 1,671 | MEMBER | null | Tensorflow changed their default `train_step` in version 2.11 to no longer user `data_adapter.expand_1d`, and also deleted that method. Since we copied that code for our train step, this made our `train_step` stop working in 2.11 when the user was using a non-dummy loss!
This PR resolves the issue by not calling `ex... | {
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