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https://api.github.com/repos/huggingface/transformers/issues/25725 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25725/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25725/comments | https://api.github.com/repos/huggingface/transformers/issues/25725/events | https://github.com/huggingface/transformers/issues/25725 | 1,864,901,414 | I_kwDOCUB6oc5vKCMm | 25,725 | Meta-Transformer | {
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"I am interested in adding this model.\r\nHi @ArthurZucker @amyeroberts, do you think this will be a valid addition? ",
"For starters, if there are no online checkpoints then there's nothing much to be added 😓 \r\nEDIT: seems like they are available!\r\nAppart from having a very complicated codebase with submod... | 1,692 | 1,696 | null | CONTRIBUTOR | null | ### Model description
Introducing a groundbreaking research paper that explores the potential of unified multimodal learning, revolutionizing the way we process and integrate diverse data types such as text, images, audio, and more! 🌟
[meta-transformer](https://arxiv.org/pdf/2307.10802.pdf)
### Open source status
... | {
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https://api.github.com/repos/huggingface/transformers/issues/25724 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25724/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25724/comments | https://api.github.com/repos/huggingface/transformers/issues/25724/events | https://github.com/huggingface/transformers/issues/25724 | 1,864,900,937 | I_kwDOCUB6oc5vKCFJ | 25,724 | Trainer.__init__() got an unexpected keyword argument 'model_flops' | {
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"I can't see any `model_flops` argument in the codebase. Is this `Trainer` from `transformers` library?",
"> I can't see any `model_flops` argument in the codebase. Is this `Trainer` from `transformers` library?\r\n\r\nthis is part of Andrew Ng course released yesterday: https://learn.deeplearning.ai/finetuning-l... | 1,692 | 1,704 | 1,692 | NONE | null | ### System Info
colab notebook
### Who can help?
@ArthurZucker @pacman100 @you
### Information
- [ ] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or dataset (give details below)
### Re... | {
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https://api.github.com/repos/huggingface/transformers/issues/25723 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25723/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25723/comments | https://api.github.com/repos/huggingface/transformers/issues/25723/events | https://github.com/huggingface/transformers/issues/25723 | 1,864,883,521 | I_kwDOCUB6oc5vJ91B | 25,723 | NEW Model GPT-JX | {
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"This model has been removed from the hub. It looks like an interesting model, why remove it? ",
"> This model has been removed from the hub. It looks like an interesting model, why remove it?\r\n\r\nIt has been withdrawn by us and will be released along with 7b and 15b models "
] | 1,692 | 1,695 | null | NONE | null | ### Model description
request to add a new model gpt-jx-3b to the transformer library as well as request to create a custom model class, class names an be found in the below .txt files as well as at the below of the description, weights are present in hugging face model hub but made public for now, ["alien-ai/gpt-jx... | {
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https://api.github.com/repos/huggingface/transformers/issues/25722 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25722/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25722/comments | https://api.github.com/repos/huggingface/transformers/issues/25722/events | https://github.com/huggingface/transformers/pull/25722 | 1,864,825,986 | PR_kwDOCUB6oc5YrTOh | 25,722 | Generate: nudge towards `do_sample=False` when `temperature=0.0` | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"> We could also just set do_sample = False in case temperature = 0. Will let you decide !\r\n\r\nI agree we should do that! But I'm going to leave that for the generate refactor, as it implies significant code changes to do it right... | 1,692 | 1,692 | 1,692 | MEMBER | null | # What does this PR do?
Related issue: https://github.com/facebookresearch/llama/issues/687
Improves the error message when `temperature=0.0`, which asymptotically corresponds to greedy decoding... except that it results in numerical problems :D
___________________________
test run:
```py
from transformers... | {
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https://api.github.com/repos/huggingface/transformers/issues/25721 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25721/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25721/comments | https://api.github.com/repos/huggingface/transformers/issues/25721/events | https://github.com/huggingface/transformers/pull/25721 | 1,864,781,798 | PR_kwDOCUB6oc5YrJpE | 25,721 | [PEFT] Allow PEFT model dict to be loaded | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,692 | 1,694 | 1,694 | MEMBER | null | In order to allow `peft` to be leveraged in `diffusers` without breaking changes we need to allow loading adapters directly from a loaded `state_dict`. The reason is that in `diffusers` we currently store LoRA checkpoints in a format that is different to the PEFT format so we cannot just pass the model_id. This PR allo... | {
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https://api.github.com/repos/huggingface/transformers/issues/25720 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25720/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25720/comments | https://api.github.com/repos/huggingface/transformers/issues/25720/events | https://github.com/huggingface/transformers/issues/25720 | 1,864,766,874 | I_kwDOCUB6oc5vJhWa | 25,720 | Downloading llama model | {
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"Could you share the issue that you are having? ",
"> \r\n\r\njust added the error above.",
"Did you try to install the packages you are missing ? \r\n```bash\r\npip install -u accelerate bitsandbytes\r\n```\r\n\r\nAccording to the contribution guidelines could you share the output of `transformers-cli env`? W... | 1,692 | 1,697 | 1,697 | NONE | null | ### System Info
colab pro
### Who can help?
@younesbelkada @pacman100 @arth
### Information
- [ ] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or dataset (give details b... | {
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https://api.github.com/repos/huggingface/transformers/issues/25719 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25719/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25719/comments | https://api.github.com/repos/huggingface/transformers/issues/25719/events | https://github.com/huggingface/transformers/issues/25719 | 1,864,749,219 | I_kwDOCUB6oc5vJdCj | 25,719 | Trouble with AutoModelForSequenceClassification + Lora + Deepspeed_zero3 | {
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"Pretty sure you should be asking this on [the forum](https://discuss.huggingface.co/), include a full reproducer with a full traceback.",
"> Pretty sure you should be asking this on [the forum](https://discuss.huggingface.co/), include a full reproducer with a full traceback.\r\n\r\nSure. I'll post one there.",
... | 1,692 | 1,697 | 1,697 | NONE | null | Need to finetune a seq-classifier based on Llama-70B using Lora, but get stuck when integrating deepspeed_zero3.
Deps version:
- transformers 4.31.0
- peft 0.5.0
- deepspeed 0.10.1
My code is like:
1. initialize training args: `train_args = transformers... | {
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https://api.github.com/repos/huggingface/transformers/issues/25718 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25718/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25718/comments | https://api.github.com/repos/huggingface/transformers/issues/25718/events | https://github.com/huggingface/transformers/pull/25718 | 1,864,711,563 | PR_kwDOCUB6oc5Yq6gJ | 25,718 | Fix failing `test_batch_generation` for bloom | {
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"> 😅 Nice catch !\r\n\r\nI was caught by the failed CI 😢 ",
"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,692 | 1,692 | 1,692 | COLLABORATOR | null | # What does this PR do?
#25571 changed this test. There was a tiny issue. See my comment along the change in this PR.
We should probably to change this variable names in multiple places for house keeping.
Also cc @gante 😄 | {
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https://api.github.com/repos/huggingface/transformers/issues/25717 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25717/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25717/comments | https://api.github.com/repos/huggingface/transformers/issues/25717/events | https://github.com/huggingface/transformers/issues/25717 | 1,864,703,258 | I_kwDOCUB6oc5vJR0a | 25,717 | Remove the input tokens | {
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"Hey, this kind of question should be asked on [the forum](https://discuss.huggingface.co/) 🤗 ",
"Sure. Thanks."
] | 1,692 | 1,692 | 1,692 | NONE | null | Hi,
Scenario: I have got 5 files , which has code in it. Now I am trying to evaluate the files and get some recommendations via starcoder model.
Challenge: I am able to iterate thru all files and get recommendations independently. But when running in a single flow in a loop, after the first file is encoded and d... | {
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https://api.github.com/repos/huggingface/transformers/issues/25716 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25716/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25716/comments | https://api.github.com/repos/huggingface/transformers/issues/25716/events | https://github.com/huggingface/transformers/issues/25716 | 1,864,675,763 | I_kwDOCUB6oc5vJLGz | 25,716 | LLama2 tokenizer unexpected behaviors with special tokens | {
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"You expectation is wrong, the output of the slow tokenizer is correct. It's a known bug, as the `fast` fix for special tokens is not there yet. ",
"Thanks for the explanation. It is indeed a large change between different versions.\r\nIn transformers==4.31.0, the behavior is also different as follows:\r\n```\r\n... | 1,692 | 1,692 | 1,692 | NONE | null | ### System Info
- `transformers` version: 4.33.0.dev0
- Platform: Linux-3.10.0-1160.83.1.el7.x86_64-x86_64-with-glibc2.35
- Python version: 3.10.6
- Huggingface_hub version: 0.16.4
- Safetensors version: 0.3.1
- Accelerate version: 0.21.0
- Accelerate config: not found
- PyTorch version (GPU?): 2.1.0a0+b5021... | {
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https://api.github.com/repos/huggingface/transformers/issues/25715 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25715/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25715/comments | https://api.github.com/repos/huggingface/transformers/issues/25715/events | https://github.com/huggingface/transformers/pull/25715 | 1,864,673,676 | PR_kwDOCUB6oc5YqyVB | 25,715 | Fix number of minimal calls to the Hub with peft integration | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_25715). All of your documentation changes will be reflected on that endpoint."
] | 1,692 | 1,692 | 1,692 | COLLABORATOR | null | # What does this PR do?
This PR makes sure we don't add two calls to every model instantiation when PEFT is installed by moving the calls to `find_adapter_config_file` after the config is created so we can use the commit hash. | {
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https://api.github.com/repos/huggingface/transformers/issues/25714 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25714/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25714/comments | https://api.github.com/repos/huggingface/transformers/issues/25714/events | https://github.com/huggingface/transformers/pull/25714 | 1,864,655,084 | PR_kwDOCUB6oc5YquV8 | 25,714 | Patch with accelerate xpu | {
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"@sgugger seems like ruff is flagging errors on other files (which are not edited in this commit ). Could you take a look ? Thanks",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_25714). All of your documentation changes will be reflected on that endpoint.",
"@abhil... | 1,692 | 1,693 | 1,693 | CONTRIBUTOR | null | Patch for Accelerate XPU support.
cc @sgugger @muellerzr | {
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https://api.github.com/repos/huggingface/transformers/issues/25713 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25713/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25713/comments | https://api.github.com/repos/huggingface/transformers/issues/25713/events | https://github.com/huggingface/transformers/pull/25713 | 1,864,647,118 | PR_kwDOCUB6oc5YqsoU | 25,713 | [`AutoGPTQ`] Add correct installation of GPTQ library + fix slow tests | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Can confirm the slow tests now pass in the docker image\r\n\r\n> So basically we want to install the same version but with cu118 support, right?\r\n\r\nIt is slightly trickier than that, auto-gptq listed in pypi does not contain the ... | 1,692 | 1,692 | 1,692 | CONTRIBUTOR | null | # What does this PR do?
Per the instructions of installing auto-gptq library we need to slightly update the Dockerfile otherwise it will install the `0.3.2` version which is not compatible with the integration
Will also update some expected values to make the slow tests pass
cc @ydshieh @SunMarc
Can confir... | {
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https://api.github.com/repos/huggingface/transformers/issues/25712 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25712/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25712/comments | https://api.github.com/repos/huggingface/transformers/issues/25712/events | https://github.com/huggingface/transformers/issues/25712 | 1,864,620,485 | I_kwDOCUB6oc5vI9nF | 25,712 | NameError: name 'torch' is not defined | {
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"Hi, \r\n\r\nWhat's your `bitsandbytes` version? cc @younesbelkada .\r\n\r\ntorch is imported under `is_bitsandbytes_available()`, so might be a version issue.\r\n\r\n```\r\nif is_bitsandbytes_available():\r\n import bitsandbytes as bnb\r\n import torch\r\n```",
"```\r\n(h2ogpt) jon@pseudotensor:~/h2ogpt$ p... | 1,692 | 1,697 | 1,697 | NONE | null | ### System Info
`transformers` version: 4.32.0
- Platform: Linux-5.19.0-38-generic-x86_64-with-glibc2.35
- Python version: 3.10.9
- Huggingface_hub version: 0.16.4
- Safetensors version: 0.3.1
- Accelerate version: 0.22.0
- Accelerate config: - compute_environment: LOCAL_MACHINE
- distributed_type: ... | {
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https://api.github.com/repos/huggingface/transformers/issues/25711 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25711/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25711/comments | https://api.github.com/repos/huggingface/transformers/issues/25711/events | https://github.com/huggingface/transformers/pull/25711 | 1,864,614,458 | PR_kwDOCUB6oc5Yqlkf | 25,711 | docs: Resolve typos in warning text | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_25711). All of your documentation changes will be reflected on that endpoint."
] | 1,692 | 1,692 | 1,692 | MEMBER | null | # What does this PR do?
Resolves a warning & a double space in a new warning text.
## Before submitting
- [x] This PR fixes a typo or improves the docs
## Who can review?
@ArthurZucker
- Tom Aarsen | {
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https://api.github.com/repos/huggingface/transformers/issues/25710 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25710/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25710/comments | https://api.github.com/repos/huggingface/transformers/issues/25710/events | https://github.com/huggingface/transformers/pull/25710 | 1,864,602,784 | PR_kwDOCUB6oc5YqjCV | 25,710 | [`PEFT`] Fix peft version | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_25710). All of your documentation changes will be reflected on that endpoint."
] | 1,692 | 1,692 | 1,692 | CONTRIBUTOR | null | # What does this PR do?
Fixes the peft version check, in fact we should check if the current version is strictly greater than the required minimum version, not the opposite. That was leading to failing tests in the nightly CI.
cc @ydshieh | {
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https://api.github.com/repos/huggingface/transformers/issues/25709 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25709/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25709/comments | https://api.github.com/repos/huggingface/transformers/issues/25709/events | https://github.com/huggingface/transformers/issues/25709 | 1,864,543,419 | I_kwDOCUB6oc5vIqy7 | 25,709 | Mask2Former after 4.32 release use more memory | {
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"`CUDA out of memory. Tried to allocate 56.25 GiB`. It looks a lot.\r\n\r\n@amyeroberts Could you take a look? I tried the notebook and it shows the issue."
] | 1,692 | 1,693 | 1,693 | NONE | null | ### System Info
transfomers 4.32.0
ubuntu 22.04
python 3.9
@amyeroberts
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [X] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [X] My o... | {
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https://api.github.com/repos/huggingface/transformers/issues/25708 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25708/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25708/comments | https://api.github.com/repos/huggingface/transformers/issues/25708/events | https://github.com/huggingface/transformers/pull/25708 | 1,864,459,812 | PR_kwDOCUB6oc5YqEdY | 25,708 | Update list of persons to tag | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,692 | 1,692 | 1,692 | COLLABORATOR | null | # What does this PR do?
This updates the lists of persons to tag, removing me and adding something for quantization.
cc @SunMarc @younesbelkada @muellerzr @pacman100 since you get new stuff. | {
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https://api.github.com/repos/huggingface/transformers/issues/25707 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25707/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25707/comments | https://api.github.com/repos/huggingface/transformers/issues/25707/events | https://github.com/huggingface/transformers/pull/25707 | 1,864,444,864 | PR_kwDOCUB6oc5YqBSg | 25,707 | Correct progress bar update step on all files no_runner. Change description of train, validation file of mlm | {
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"cc @muellerzr "
] | 1,692 | 1,694 | 1,694 | CONTRIBUTOR | null | Hi,
as merged in #25324 (adding txt description on train and val of file clm_no_trainer) and #25691 (correct update progress bar of steps). I see that much of file no_trainer is not correct about these, so I made a pull request to correct them.
In the edit:
- I see that some files such as run_translataion_no_train... | {
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https://api.github.com/repos/huggingface/transformers/issues/25706 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25706/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25706/comments | https://api.github.com/repos/huggingface/transformers/issues/25706/events | https://github.com/huggingface/transformers/pull/25706 | 1,864,431,072 | PR_kwDOCUB6oc5Yp-YY | 25,706 | 🌐 [i18n-KO] Translated peft.md to Korean | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_25706). All of your documentation changes will be reflected on that endpoint.",
"LGTM! 👍"
] | 1,692 | 1,693 | 1,693 | CONTRIBUTOR | null | # What does this PR do?
Translated the `peft.md` file of the documentation to Korean.
Thank you in advance for your review.
Part of https://github.com/huggingface/transformers/issues/20179
## Before reviewing
- [x] Check for missing / redundant translations (번역 누락/중복 검사)
- [x] Grammar Check (맞춤법 검사)
- [x]... | {
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"cc @Rocketknight1 ",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_25705). All of your documentation changes will be reflected on that endpoint."
] | 1,692 | 1,694 | 1,692 | CONTRIBUTOR | null | # What does this PR do?
Addresses some of the models in https://github.com/huggingface/transformers/issues/16059:
1. ErnieM
1. `ErnieMForInformationExtraction`
2. `ErnieMForMultipleChoice`
3. `ErnieMForQuestionAnswering`
4. `ErnieMForSequenceClassification`
5. `ErnieMForTokenClassification`
6. `ErnieMMode... | {
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https://api.github.com/repos/huggingface/transformers/issues/25704 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25704/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25704/comments | https://api.github.com/repos/huggingface/transformers/issues/25704/events | https://github.com/huggingface/transformers/issues/25704 | 1,864,340,235 | I_kwDOCUB6oc5vH5ML | 25,704 | Use `F.multi_head_attention_forward()` to take advantage of PyTorch's Flash attention | {
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"Something is being cooked up in #25598 😉 ",
"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/huggi... | 1,692 | 1,696 | 1,696 | CONTRIBUTOR | null | ### Feature request
Currently I'm using Wav2Vec 2.0 models. Digging into the code, I can see that it manually computes multi-head attention (and actually it copies from Bart). Using `F.multi_head_attention_forward()` would enjoy the benefits of any new improvements PyTorch brings (e.g. Flash attention) without install... | {
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https://api.github.com/repos/huggingface/transformers/issues/25703 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25703/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25703/comments | https://api.github.com/repos/huggingface/transformers/issues/25703/events | https://github.com/huggingface/transformers/issues/25703 | 1,864,282,369 | I_kwDOCUB6oc5vHrEB | 25,703 | Llama2 model not loading, stuck in infinite loop | {
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"cc @younesbelkada and @SunMarc ",
"Hi @AmritaBh \r\nin the traceback you shared I see:\r\n\r\n```bash\r\nTraceback (most recent call last):\r\n File \"llama2_13b_bnb.py\", line 277, in <module>\r\n generate_ids = model.generate(inputs.input_ids, max_new_tokens=max_tokens, **generation_kwargs)\r\n```\r\nMeani... | 1,692 | 1,697 | 1,697 | NONE | null | ### System Info
- `transformers` version: 4.31.0
- Platform: Linux-4.18.0-348.el8.0.2.x86_64-x86_64-with-glibc2.17
- Python version: 3.8.17
- Huggingface_hub version: 0.16.4
- Safetensors version: 0.3.1
- Accelerate version: 0.21.0
- Accelerate config: not found
- PyTorch version (GPU?): 2.0.1+cu117 (True)
... | {
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https://api.github.com/repos/huggingface/transformers/issues/25702 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25702/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25702/comments | https://api.github.com/repos/huggingface/transformers/issues/25702/events | https://github.com/huggingface/transformers/pull/25702 | 1,864,247,789 | PR_kwDOCUB6oc5YpX2j | 25,702 | remove SharedDDP as it is deprecated | {
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"@sgugger sorry for bothering you, but would you mind taking a look at this PR?",
"cc @muellerzr and @pacman100 who will take over the Trainer.",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_25702). All of your documentation changes will be reflected on that endpoin... | 1,692 | 1,696 | 1,696 | CONTRIBUTOR | null | # What does this PR do?
As mentioned previously([see](https://github.com/huggingface/transformers/pull/24825)), fairscale's ShardedDDP is deprecated, and PyTorch FSDP is the recommended method for scaling to large NN models. Now it's time to say goodbye to this library👋.
## Before submitting
- [ ] This PR f... | {
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https://api.github.com/repos/huggingface/transformers/issues/25701 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25701/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25701/comments | https://api.github.com/repos/huggingface/transformers/issues/25701/events | https://github.com/huggingface/transformers/issues/25701 | 1,864,208,893 | I_kwDOCUB6oc5vHZH9 | 25,701 | creating a new env and installing huggingface, torch and running example scripts produces an error | {
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"I suspect there is something wrong with the way you are creating the environnement. I ran this successfully:\r\n```bash \r\nconda create -n myenv python=3.9\r\nconda activate myenv\r\npip install git+https://github.com/huggingface/transformers\r\npip install torch\r\npython -c \"from transformers import pipeline; ... | 1,692 | 1,693 | 1,693 | NONE | null | ### System Info
- `transformers` version: 4.33.0.dev0
- Platform: Linux-5.15.0-69-generic-x86_64-with-glibc2.35
- Python version: 3.10.12
- Huggingface_hub version: 0.16.4
- Safetensors version: 0.3.3
- Accelerate version: not installed
- Accelerate config: not found
- PyTorch version (GPU?): 2.0.1 (True)
- Te... | {
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"On main I am getting this: \r\n```python \r\nLlamaTokenizer\r\n['<s>', '[', 'INST', ']', '▁<<', 'SY', 'S', '>>', '<0x0A>', 'Test', '▁system', '▁prompt', '<0x0A>', '<', '</', 'SY', 'S', '>>', '<0x0A>', '<0x0A>', 'Test', '▁user', '▁prompt', '.', '▁[', '/', 'INST', ']']\r\n\r\nLlamaTokenizerFast\r\n['<s>', '▁[', 'INS... | 1,692 | 1,693 | 1,693 | NONE | null | ### System Info
- `transformers` version: 4.32.0
- Platform: Windows-10-10.0.20348-SP0
- Python version: 3.10.11
- Huggingface_hub version: 0.16.4
- Safetensors version: 0.3.2
- Accelerate version: 0.21.0
- Accelerate config: not found
- PyTorch version (GPU?): 2.0.1+cu117 (True)
- Tensorflow version (GPU... | {
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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... | 1,692 | 1,697 | 1,697 | NONE | null | # What does this PR do?
A truncation warning, "Asking to truncate to max_length but no maximum length is provided and the model has no predefined maximum length. Default to no truncation.", while not incorrect (max_length is a parameter for running the tokenize function), could also be interpreted as suggesting 'max... | {
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A truncation warning, "Asking to truncate to max_length but no maximum length is provided and the model has no predefined maximum length. Default to no truncation.", while not incorrect (max_length is a parameter for running the tokenize function), could also be interpreted as suggesting 'max... | {
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"Hey! Thanks a lot for contributing! 🚀 as a first step I would suggest you to upload the model on the hub following [this tutorial](https://huggingface.co/docs/transformers/custom_models), as it will make the process a lot easier, and won't need to go through our strict CIs! 🤗 ",
"Hi !\r\n\r\nOk, I have a first... | 1,692 | 1,701 | 1,700 | NONE | null | # What does this PR do?
This PR implements the SuperGlue model.
https://github.com/huggingface/transformers/issues/25489
## Who can review?
@amyeroberts
## Todo's
- [x] Adapt the template code to match SuperGlue
- [x] Write a conversion script
- [ ] Adding model tests
- [ ] Add docstring
- [ ] Up... | {
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"i have a feeling that this error was created when an env was created, transformers was installed, (the code worked fine), diffusers was installed, (and the code broke). ",
"Both colabs are private so can't reproduce, but thanks for reporting! ",
"fwiw - anecdotal evidence suggests that this happens when disks ... | 1,692 | 1,697 | 1,697 | NONE | null | ### System Info
Copy-and-paste the text below in your GitHub issue and FILL OUT the two last points.
- `transformers` version: 4.32.0.dev0
- Platform: Linux-5.15.0-69-generic-x86_64-with-glibc2.35
- Python version: 3.10.10
- Huggingface_hub version: 0.16.4
- Safetensors version: 0.3.1
- Accelerate version:... | {
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"Hey! If you want help from our trainer expert @pacman100 we're gonna need to have a look at the training script or at least have a reproducer.",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\... | 1,692 | 1,708 | 1,697 | NONE | null | ### System Info
A100 Nvidia 80G GPU
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or dataset (give details below)
### Reproduction
... | {
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https://api.github.com/repos/huggingface/transformers/issues/25694 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25694/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25694/comments | https://api.github.com/repos/huggingface/transformers/issues/25694/events | https://github.com/huggingface/transformers/issues/25694 | 1,863,822,632 | I_kwDOCUB6oc5vF60o | 25,694 | ValueError: Unsupported number of image dimensions: 2 - An error during embedding Image data | {
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"cc @amyeroberts and @rafaelpadilla ",
"Hi @UmarIgan \r\n\r\nThank you for bringing this to our attention!\r\n\r\nI've tested your code and indeed, I've encountered the same error. I'm on it and will work towards a solution.\r\n",
"Thanks @rafaelpadilla \r\nAs I understand vision transformers also can't encode... | 1,692 | 1,706 | null | NONE | null | ### System Info
I am facing an issue during encoding image dataset using facebook/dino-vits16, I faced this issue with grayscale images before too but it worked well with Bingsu/Human_Action_Recognition dataset.
Versions
```
transformers==4.32.0
torch==2.0.1+cu118
datasets==2.14.4
```
The error:
```
... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Hey @sanchit-gandhi, thanks for your thorough review! I've addressed or answered almost every comment, except your request on the nested configuration. \r\n\r\nFor the moment being, I'd rather use a formatting with clear delimitation... | 1,692 | 1,698 | 1,698 | COLLABORATOR | null | # What does this PR do?
Meta recently introduced [Seamless M4T](https://ai.meta.com/blog/seamless-m4t/), a collection of models designed to provide high quality translation, allowing people from different linguistic communities to communicate effortlessly through speech and text.
SeamlessM4T supports multiple a... | {
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"It's nice to see the red cross 🔥 ",
"_The documentation is not available anymore as the PR was closed or merged._",
"ooh boy 🤦 ",
"Super glad to see the full power of the `tests_pr_documentation_tests` on display 🚀 ",
"@ArthurZucker ready for a review! I've updated the PR header with a summary of the ch... | 1,692 | 1,692 | 1,692 | MEMBER | null | # What does this PR do?
This PR:
- Adds `logits_processors.py` to the doctests
- Fixes the broken tests (while fixing the tests, also improved the examples with better practices and shorter examples)
- Updates sample-related examples to much shorter examples (the examples were too long and not very representative... | {
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In this code of resume training with step, I see that completed_steps will always start at epoch 0, and it does not seem to be corrected (progress_bar needs to be at the step in the file save). So I changed the location of this code to make the progress_bar update with the latest step.
I would like to cc @sgugg... | {
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"You need to call the garbage collector and `torch.cuda.empty_cache()` at the very least to get a chance to get the memory back.",
"After every inference? I didn't do this before and it was done automatically.",
"If you do a new inference, you won't see new memory used, just the same one being re-used. You need... | 1,692 | 1,695 | 1,695 | NONE | null | ### System Info
OS: Ubuntu 20.04
- `transformers` version: 4.31.0
- Platform: Linux-5.15.0-79-generic-x86_64-with-glibc2.29
- Python version: 3.8.10
- Huggingface_hub version: 0.16.4
- Safetensors version: 0.3.2
- Accelerate version: 0.21.0
- Accelerate config: not found
- PyTorch version (GPU?): 2.0.1+cu... | {
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Small nit to make sure the `unk_token_length` is updated with the unk token˜ | {
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] | 1,692 | 1,692 | 1,692 | COLLABORATOR | null | # What does this PR do?
Adds a warning in the image processor if the user is passing in images that have already had their pixel values rescale between 0 and 1 and `do_rescale=True`. Additionally adds information in the docstring.
This has caused some confusion and error reports recently, when users have been pas... | {
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"@ydshieh #25664 motivates this PR because it was a reaction to #25659, which had an uncaught bug. This uncaught bug would have been detected by the test added in this PR :)\r\n\r\nRegarding the other PR comments: going to elaborate i... | 1,692 | 1,692 | 1,692 | MEMBER | null | # What does this PR do?
As discussed in #25664, adds a test to detect whether generating from `inputs_embeds` has exactly the same output as from the corresponding `input_ids`. This ensures contributed implementations are correct 🤗 | {
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1. Currently, when using Trainer if the model is loaded before creating `TrainingArguments` object, torch distributed process group won't be initialized and as such when FSDP is enabled via accelerate config, it will end up initializing the model with random weights on all ranks as the `is_fsdp... | {
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Fix #25625 | {
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Fixes the `get_spm_processor()` function to make sure that if `protobuf` is not installed, we can still initialize the model when `legacy=False`.
Just realized that `make fixup` fails without protobuf :sweat:
fixes #25753
```python
>>> import tensorflow as tf
--------------------------... | {
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The dtype of the CLAP logit scale parameters was always float64 by default (even if the rest of the model was initialised in float32). This PR fixes the logit scales, such that they respect the default dtype of the model.
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"cc @gante you recently worked on the extension of the cache for RotaryEmbeddings! Might affect other (dynamic ones)",
"Hey @KeremTurgutlu 👋 \r\n\r\nIt is known that, when casting to 16 bits for inference purposes, you should use the exact casting strategy as used with the model at train time. We try to store th... | 1,692 | 1,703 | 1,703 | NONE | null | ### System Info
- `transformers` version: 4.31.0
- Platform: Linux-5.15.0-79-generic-x86_64-with-glibc2.29
- Python version: 3.8.10
- Huggingface_hub version: 0.16.4
- Safetensors version: 0.3.2
- Accelerate version: 0.22.0.dev0
- Accelerate config: - compute_environment: LOCAL_MACHINE
- distribute... | {
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https://api.github.com/repos/huggingface/transformers/issues/25680 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25680/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25680/comments | https://api.github.com/repos/huggingface/transformers/issues/25680/events | https://github.com/huggingface/transformers/pull/25680 | 1,862,843,547 | PR_kwDOCUB6oc5Ykm_V | 25,680 | Remove `utils/documentation_tests.txt` | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_25680). All of your documentation changes will be reflected on that endpoint."
] | 1,692 | 1,692 | 1,692 | COLLABORATOR | null | # What does this PR do?
Let's remove `utils/documentation_tests.txt` and just keep `not_doctested.txt` | {
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"안녕하세요!\r\n\r\n🔥 번역에 참여해주신 모든 분들께 정말 감사드립니다. 이번 번역에서는 특정 이미지에 대해서 설명이 나와 보면서 번역이 알맞는지 확인해야했습니다. 오랜만에 번역하는 것이다보니 오류가 많을 것으로 예상되는데요. 어떤 부분이든 모두 주저없이 말씀해주세요 :)\r\n\r\n리뷰는 일방적인 수용이 아닌 서로간의 대화를 전제로 이루어집니다. 때문에 \"어라, 이건 내가 맞아!\"라고 주장해주시면 오히려 더 재밌는 리뷰 시간이 될 것입니다. 지금까지 최고의 리뷰를 꾸준히 올려주시는 @nuatmochoi 님 🥇 , @heuristicwave 님... | 1,692 | 1,692 | 1,692 | CONTRIBUTOR | null | <!-- PR의 제목은 "🌐 [i18n-KO] Translated `<your_file>.md` to Korean" 으로 부탁드립니다! -->
# What does this PR do?
Translated the `visual_question_answering.md` file of the documentation to Korean.
Thank you in advance for your review.
Part of https://github.com/huggingface/transformers/issues/20179
## Before reviewi... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,692 | 1,692 | 1,692 | MEMBER | null | This sets the stale bot trigger time at 10 AM CEST rather than 5 PM CEST as all core maintainers on watch duty are now in the European timezone
cc @amyeroberts @ArthurZucker @sgugger | {
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"Hi @sgugger, is it ok to work on this?"
] | 1,692 | 1,692 | null | CONTRIBUTOR | null | <!--
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https://api.github.com/repos/huggingface/transformers/issues/25676 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25676/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25676/comments | https://api.github.com/repos/huggingface/transformers/issues/25676/events | https://github.com/huggingface/transformers/pull/25676 | 1,862,624,485 | PR_kwDOCUB6oc5Yj30m | 25,676 | Fix typo in `configuration_gpt2.py` | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_25676). All of your documentation changes will be reflected on that endpoint."
] | 1,692 | 1,692 | 1,692 | 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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"I just noticed the example code on https://huggingface.co/cerebras/btlm-3b-8k-base differs from https://huggingface.co/tasks/text-generation. That's probably it."
] | 1,692 | 1,692 | 1,692 | NONE | null | ### System Info
- `transformers` version: 4.33.0.dev0
- Platform: Linux-6.1.0-9-amd64-x86_64-with-glibc2.36
- Python version: 3.11.4
- Huggingface_hub version: 0.16.4
- Safetensors version: 0.3.2
- Accelerate version: not installed
- Accelerate config: not found
- PyTorch version (GPU?): 2.0.1+cu117 (False)
- ... | {
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https://api.github.com/repos/huggingface/transformers/issues/25674 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25674/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25674/comments | https://api.github.com/repos/huggingface/transformers/issues/25674/events | https://github.com/huggingface/transformers/pull/25674 | 1,862,390,052 | PR_kwDOCUB6oc5YjGL3 | 25,674 | 🌐 [i18n-KO] Translated `community.md` to Korean | {
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"리뷰 하실 때 참고하실 점 공유 드립니다.\r\n - [`Nlp`](https://huggingface.co/docs/datasets/v0.3.0/installation.html)는 `Datasets` 이전에 사용된 라이브러리 이름입니다. v1.0.0부터 `Datasets`로 바뀌었습니다. (현재 가장 최신 Datasets 버전은 v2.14입니다!) 모든 노트북에서 잘 실행되지는 않는 것 같지만 여전히 `Nlp` 이름으로 모듈을 다운로드 받을 수 있고, `Datasets`로 바꿀 때 관련 노트북도 수정이 필요할 것 같아 원문의 이름을 유지했습니다. \r\n... | 1,692 | 1,693 | 1,693 | CONTRIBUTOR | null | # What does this PR do?
Translated the `community.mdx` file of the documentation to Korean.
Thank you in advance for your review.
Part of https://github.com/huggingface/transformers/issues/20179
## Before reviewing
- [x] Check for missing / redundant translations (번역 누락/중복 검사)
- [x] Grammar Check (맞춤법 검사)
... | {
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https://api.github.com/repos/huggingface/transformers/issues/25673 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25673/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25673/comments | https://api.github.com/repos/huggingface/transformers/issues/25673/events | https://github.com/huggingface/transformers/issues/25673 | 1,862,337,256 | I_kwDOCUB6oc5vAQLo | 25,673 | Seems to be a bug in documentation with Speech Encoder Decoder Model Training | {
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"The line where the model takes in the input features should actually be:\r\n\r\n`loss = model(input_values=input_values, labels=labels).loss`",
"Hey! Thanks for noticing 🤗 Would you like to open a PR and fixe this? You could also try running the doctests to find if there are other parts that are not up to date... | 1,692 | 1,692 | 1,692 | NONE | null | ### System Info
@sanchit-gandhi - Can you please take a look at the below?
The documentation [here](https://huggingface.co/docs/transformers/main/model_doc/speech-encoder-decoder) doesn't seem to execute. It looks like there is a call being made to `loss = model(**input_features).loss` when input_features has not ... | {
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https://api.github.com/repos/huggingface/transformers/issues/25672 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25672/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25672/comments | https://api.github.com/repos/huggingface/transformers/issues/25672/events | https://github.com/huggingface/transformers/issues/25672 | 1,862,326,751 | I_kwDOCUB6oc5vANnf | 25,672 | Llama2-13b-chat: Output contains part of prompt (including [/INST] tag) | {
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"Can you provided a reproducer? And share the transformers version you are using? ",
"@ArthurZucker unfortunately I can't provide a specific reproducer because this model was fine-tuned on a customer's data set, but here is how I produced the problematic output:\r\n```\r\nUser: {msg 1}\r\nAssistant: {msg 2}\r\nUs... | 1,692 | 1,697 | 1,697 | NONE | null | ### System Info
SageMaker + Llama2-13b-chat-hf (finetuned)
### Who can help?
@ArthurZucker @younesbelkada @gante
### 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 da... | {
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https://api.github.com/repos/huggingface/transformers/issues/25671 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25671/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25671/comments | https://api.github.com/repos/huggingface/transformers/issues/25671/events | https://github.com/huggingface/transformers/issues/25671 | 1,862,270,396 | I_kwDOCUB6oc5u__28 | 25,671 | Dino V2 pre-training | {
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"Indeed it's a bit out of scope for `transformers`, but can very well be shared on [the forum ](https://discuss.huggingface.co/)! 🤗 ",
"Awesome, thanks!",
"I apologize for responding to a closed issue, but for anybody who needs this feature I want to briefly mention that I have modified facebook's code to trai... | 1,692 | 1,702 | 1,692 | NONE | null | ### Feature request
I'm a newcomer to `transformers`; I found it for its implementation of Dino V2. I take it that the scope of the `models` is mainly inference and (supervised) fine-tuning; so maybe this request is fundamentally out of scope.
Would it be feasible to implement the core pre-training loop (self-disti... | {
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https://api.github.com/repos/huggingface/transformers/issues/25670 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25670/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25670/comments | https://api.github.com/repos/huggingface/transformers/issues/25670/events | https://github.com/huggingface/transformers/pull/25670 | 1,862,169,881 | PR_kwDOCUB6oc5YiWhp | 25,670 | Use Version instead of version.parse to compare versions | {
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Use `packaging.version.Version` to compare torch version instead of `packaging.version.parse`.
Fixes #25669
## 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... | {
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https://api.github.com/repos/huggingface/transformers/issues/25669 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25669/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25669/comments | https://api.github.com/repos/huggingface/transformers/issues/25669/events | https://github.com/huggingface/transformers/issues/25669 | 1,862,169,008 | I_kwDOCUB6oc5u_nGw | 25,669 | version.parse(string) throws an error while comparing versions | {
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"Hey! Thanks for reporting. Could you share a reproducer as well? \r\n```python \r\nfrom transformers import TextToAudioPipeline\r\n```\r\ndoes not throw an error so curious as how you got this? ",
"I got it in our PyDocs Precommit check\r\n```\r\nThe above exception was the direct cause of the following exceptio... | 1,692 | 1,694 | 1,694 | CONTRIBUTOR | null | ### System Info
In the [activations.py](https://github.com/huggingface/transformers/blob/977b2f05d5697f33e51111e4834a127a9a76349f/src/transformers/activations.py#L161), it uses version.parse to compare the torch version which can lead to subtle error as mentioned below.
When using `version.parse(str)`, it returns... | {
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https://api.github.com/repos/huggingface/transformers/issues/25668 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25668/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25668/comments | https://api.github.com/repos/huggingface/transformers/issues/25668/events | https://github.com/huggingface/transformers/pull/25668 | 1,862,158,688 | PR_kwDOCUB6oc5YiUFM | 25,668 | Add tf donut | {
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"cc @amyeroberts ",
"Hi @FrancescoPinto - thanks for opening this PR! Let us know when it's ready for review \r\n\r\ncc @Rocketknight1 @rafaelpadilla ",
"Will be happy to review whenever you're ready as well!",
"This issue has been automatically marked as stale because it has not had recent activity. If you t... | 1,692 | 1,697 | 1,697 | NONE | null | # What does this PR do?
<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
Then, please replace this w... | {
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https://api.github.com/repos/huggingface/transformers/issues/25667 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25667/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25667/comments | https://api.github.com/repos/huggingface/transformers/issues/25667/events | https://github.com/huggingface/transformers/issues/25667 | 1,862,157,355 | I_kwDOCUB6oc5u_kQr | 25,667 | Loading Flan-T5 tokenizer throwing `UnboundLocalError` for variable `sentencepiece_model_pb2` | {
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"**Update:**\r\n\r\nI ran `pip install protobuf` and the tokenizer works now. \r\n\r\nIs this requirement listed anywhere? I don't recall doing this the last time I set up this tokenizer.",
"It is a dependency listed in the `setup.py` see [here](https://github.com/huggingface/transformers/blob/main/setup.py#L143)... | 1,692 | 1,692 | 1,692 | NONE | null | ### System Info
- `transformers` version: 4.32.0
- Platform: Windows-10-10.0.20348-SP0
- Python version: 3.10.11
- Huggingface_hub version: 0.16.4
- Safetensors version: 0.3.2
- Accelerate version: 0.21.0
- Accelerate config: not found
- PyTorch version (GPU?): 2.0.1+cu117 (True)
- Tensorflow version (GPU?)... | {
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https://api.github.com/repos/huggingface/transformers/issues/25666 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25666/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25666/comments | https://api.github.com/repos/huggingface/transformers/issues/25666/events | https://github.com/huggingface/transformers/issues/25666 | 1,862,118,375 | I_kwDOCUB6oc5u_avn | 25,666 | Unable to follow Object Detection Task Example due to ImageProcessor error | {
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"cc @amyeroberts seems to come from #25464",
"Hi @govindrai, thanks for raising this issue! \r\n\r\nYes, this was a bug introduced in #25464. A fix was merged in yesterday in #25643 on main. Installing from source should resolve the issue. ",
"Thank you, all! That fixes it :). \r\n\r\nFor others, run `!pip inst... | 1,692 | 1,693 | 1,692 | NONE | null | ### System Info
transformers 4.3.2
python 3.10
using google colab
### Who can help?
@amyeroberts, @sgugger, @stevhliu
### Information
- [X] The official example scripts
- [ ] My own modified scripts
### Tasks
- [X] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ..... | {
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https://api.github.com/repos/huggingface/transformers/issues/25665 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25665/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25665/comments | https://api.github.com/repos/huggingface/transformers/issues/25665/events | https://github.com/huggingface/transformers/pull/25665 | 1,862,019,174 | PR_kwDOCUB6oc5Yh1Jo | 25,665 | fix gpt_bigcode HCCL issue occured in DDP | {
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"@regisss please help review this. thank you.",
"@anindya-saha Closing this PR as this change should be made in optimum-habana only (HCCL doesn't manage booleans while NCCL does). You can follow up my comment there: https://github.com/huggingface/optimum-habana/issues/350#issuecomment-1688878200"
] | 1,692 | 1,692 | 1,692 | NONE | null | Fixes # [Error: Getting size for given data type is not supported while fine tuning starcoder model on optimum-habana](https://github.com/huggingface/optimum-habana/issues/350)
https://github.com/huggingface/transformers/blob/6a314ea7cd01a78a58403bc83e7c637ef83e6b26/src/transformers/models/gpt_bigcode/modeling_gpt_b... | {
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https://api.github.com/repos/huggingface/transformers/issues/25664 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25664/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25664/comments | https://api.github.com/repos/huggingface/transformers/issues/25664/events | https://github.com/huggingface/transformers/pull/25664 | 1,861,988,454 | PR_kwDOCUB6oc5YhuWv | 25,664 | [`GPTNeo`] Add input_embeds functionality to gpt_neo Causal LM | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"> yeah, a test would be helpful, at least on the models that have `inputs_embeds` in the signature of this fn! Sloppy reviewers (me!) miss issues like this one\r\n> \r\n> cc @ydshieh -- lmk if you'd like to add it, or if you'd prefer... | 1,692 | 1,692 | 1,692 | COLLABORATOR | null | # What does this PR do?
Follow PR of #25659, were model inputs are updated with the input ids, meaning both input ids and input embeds are passed. | {
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https://api.github.com/repos/huggingface/transformers/issues/25663 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25663/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25663/comments | https://api.github.com/repos/huggingface/transformers/issues/25663/events | https://github.com/huggingface/transformers/issues/25663 | 1,861,910,383 | I_kwDOCUB6oc5u-n9v | 25,663 | Llama2 vocabulary duplicates | {
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"You should try using:\r\n```python \r\nIn [4]: tokenizer.convert_ids_to_tokens(29909)\r\nOut[4]: 'A'\r\n\r\nIn [5]: tokenizer.convert_ids_to_tokens(319)\r\nOut[5]: '▁A'\r\n```\r\nThe decode function remove the extra `'▁'`",
"> You should try using:\r\n> \r\n> ```python\r\n> In [4]: tokenizer.convert_ids_to_token... | 1,692 | 1,692 | 1,692 | NONE | null | ### System Info
- `transformers` version: 4.29.2
- Platform: Linux-5.15.0-58-generic-x86_64-with-glibc2.35
- Python version: 3.11.3
- Huggingface_hub version: 0.16.4
- Safetensors version: not installed
- PyTorch version (GPU?): 2.0.1+cu117 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version... | {
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" @MKhalusova\r\n\r\nCould you take a look 🙏? I see you added (or modified) this block."
] | 1,692 | 1,695 | 1,695 | NONE | null | ### System Info
python 10, latest datasets/transformers
### Who can help?
@sgugger, @stevhliu and @MKhalusova
### Information
- [X] The official example scripts
- [ ] My own modified scripts
### Tasks
- [X] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My o... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,692 | 1,692 | 1,692 | COLLABORATOR | null | # What does this PR do?
As discussed offline, it looks like the auto-fix is not triggered for some (long) time. | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_25660). All of your documentation changes will be reflected on that endpoint.",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please... | 1,692 | 1,700 | 1,700 | CONTRIBUTOR | null | # What does this PR do?
Adds HTDemucs, required for the MusicGen melody model. | {
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"(CI can be fixed by running `make fixup` on transformers root, then committing the changes)",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_25659). All of your documentation changes will be reflected on that endpoint.",
"> (CI can be fixed by running `make fixup` on... | 1,692 | 1,692 | 1,692 | CONTRIBUTOR | null | This PR follows up on https://github.com/huggingface/transformers/pull/21405, https://github.com/huggingface/transformers/pull/21889, and https://github.com/huggingface/transformers/pull/22916 by @gante to GPTNeoCausalLM models, which allows these models to accept input_embeds when generating.
## Who can review?
... | {
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"Pong Sir Arthur 😄 ",
"can give it a try!",
"It passes, but doctest doesn't really run any test from that doc file. (nothing is collected)\r\n\r\nSee https://app.circleci.com/pipelines/github/huggingface/transformers/71009/workflows/d047f9a7-21ee-457b-b921-05eefbeedd88/jobs/892220/steps",
"_The documentation... | 1,692 | 1,692 | 1,692 | COLLABORATOR | null | # What does this PR do?
The examples use a path this is (likely) moved to the current one some time ago. Let's update those. | {
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"cc @sywangyi 😉 ",
"could we set direction value to None if kwargs contains directions to solve the issue? see https://github.com/optuna/optuna/blob/7b3824aaab38843fdfbfc67ea93d6da446dc1548/optuna/study/study.py#L1125\r\nhttps://github.com/huggingface/transformers/blob/main/src/transformers/trainer.py#L2514\r\ni... | 1,692 | 1,695 | 1,695 | NONE | null | https://github.com/huggingface/transformers/blob/41aef33758ae166291d72bc381477f2db84159cf/src/transformers/integrations.py#L208C10-L208C10
Because the current implementation always passes in a direction, an error is thrown when a user tries to pass in Optuna's `directions` argument for multi-objective optimization... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,692 | 1,692 | 1,692 | COLLABORATOR | null | # What does this PR do?
An edge case was found, so we need to find a more reliable way to make sure we don't strip the first token, but also have the correct length.
Previously, we would strip `>` from a tokenization if `f">>"` exists in the vocab ( and `unk_token = <unk>`).
Before:
```python
tokenizer.tok... | {
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"cc @ydshieh ",
"> I would like to see a real example of usage, please.\r\n\r\nI have now provided example usage with the `torch_npu` backend. This is actually already in upstream so wouldn't be needed, but usage would be the same for backends not in upstream.\r\n\r\n> I am also wondering if it's always only one ... | 1,692 | 1,692 | 1,692 | CONTRIBUTOR | null | # What does this PR do?
Allows specifying arbitrary additional import following first `import torch`. This is useful for some custom backends, that will require additional imports to trigger backend registration with upstream torch. See https://github.com/pytorch/benchmark/pull/1805 for a similar change in `torchben... | {
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"See https://github.com/huggingface/transformers/pull/25655 https://github.com/huggingface/transformers/pull/25571https://github.com/huggingface/transformers/pull/25506 https://github.com/huggingface/diffusers/pull/4673 for further context and existing changes to help make testing device agnostic.",
"cc @ydshieh ... | 1,692 | 1,700 | null | CONTRIBUTOR | null | ### Feature request
We would like to make the testing suite in this repository more device agnostic. It seems there has already been some work towards this, however the majority of tests will still only run on either GPU or CPU. This would require a number of changes to all tests present in the library, however it w... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"I've confirmed that the previously missing docs are now properly rendered in the doc preview 👍 ",
"@ArthurZucker re tests -- fully on board. If you're okay with it, I'd like to do it on a separate PR :) Ditto for the side bar on t... | 1,692 | 1,692 | 1,692 | MEMBER | null | # What does this PR do?
Some logits processor classes were missing on the docs. This PR corrects it by:
1 - Adding all missing logits processors to the docs
2 - Adding missing top-level imports (to stay consistent with previously existing logits processors) | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,692 | 1,692 | 1,692 | COLLABORATOR | null | # What does this PR do?
Fixes a typo from #25563 and adds a test | {
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"This has been fixed in Accelerate, please install that library from source."
] | 1,692 | 1,692 | 1,692 | NONE | null | ### System Info
- `transformers` version: 4.31.0
- Platform: Linux-5.4.0-146-generic-x86_64-with-glibc2.29
- Python version: 3.8.10
- Huggingface_hub version: 0.16.4
- Safetensors version: 0.3.2
- Accelerate version: 0.21.0
- Accelerate config: - compute_environment: LOCAL_MACHINE
- distributed_type:... | {
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Put IDEFICS in the right section of the doc, it's not a RL model. | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,692 | 1,692 | 1,692 | COLLABORATOR | null | # What does this PR do?
This fixes the token passed along to the PEFT integration in the auto classes, which result in errors for every users with private models. | {
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https://api.github.com/repos/huggingface/transformers/issues/25648 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25648/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25648/comments | https://api.github.com/repos/huggingface/transformers/issues/25648/events | https://github.com/huggingface/transformers/issues/25648 | 1,860,818,854 | I_kwDOCUB6oc5u6dem | 25,648 | Bug: dataclasses.FrozenInstanceError: cannot assign to field generation_config | {
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"You should report the issue on that repo. It is not possible to change the training arguments once instantiated, so the script you are using needs fixing :-)",
"Thanks.",
"Closing the issue."
] | 1,692 | 1,692 | 1,692 | NONE | null | ### System Info
Hi @julien-c
I am getting error dataclasses.FrozenInstanceError: cannot assign to field generation_config.
Transformer Version: Latest. Build from source.
Cuda: 11.5
Python: 3.10
Execute the script /scripts/finetune_llama2_guanaco_7b.sh using qlora repository. I am getting the below error.
... | {
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https://api.github.com/repos/huggingface/transformers/issues/25647 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25647/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25647/comments | https://api.github.com/repos/huggingface/transformers/issues/25647/events | https://github.com/huggingface/transformers/pull/25647 | 1,860,808,734 | PR_kwDOCUB6oc5YdrAX | 25,647 | dos: ko: llm_tutorial.md | {
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<!--
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https://api.github.com/repos/huggingface/transformers/issues/25645 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25645/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25645/comments | https://api.github.com/repos/huggingface/transformers/issues/25645/events | https://github.com/huggingface/transformers/issues/25645 | 1,860,462,892 | I_kwDOCUB6oc5u5Gks | 25,645 | Why `attention_mask` in Bert is 1D tensor and is doing 1D masking for keys, rather than 2D masking for both queries and keys | {
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"Hey! You should check in the modelling code, the attention mask is processed as such:\r\n```python \r\n # We can provide a self-attention mask of dimensions [batch_size, from_seq_length, to_seq_length]\r\n # ourselves in which case we just need to make it broadcastable to all heads.\r\n extend... | 1,692 | 1,695 | 1,695 | NONE | null | ### System Info
In Bert, as this tutorial(https://huggingface.co/docs/transformers/glossary) suggested, we should have an `attention_mask`, which masks out padding tokens.
Intuitively, since the multiplication of queries and keys results in attention probability (`attention_probs`), we should mask out the padding ... | {
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https://api.github.com/repos/huggingface/transformers/issues/25644 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25644/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25644/comments | https://api.github.com/repos/huggingface/transformers/issues/25644/events | https://github.com/huggingface/transformers/pull/25644 | 1,860,399,164 | PR_kwDOCUB6oc5YcRph | 25,644 | Adding EGT Model for Graph Classification | {
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"Hey! Thanks a lot for wanting to contribute! I would recommend you to push your model on the hub following[ this tutorial](https://huggingface.co/docs/transformers/custom_models) as it will be a lot easier and doesn't require you to go through all the CI and should be easier to do! Feel free to then share the hugg... | 1,692 | 1,697 | 1,697 | NONE | null | # What does this PR do?
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,692 | 1,692 | 1,692 | CONTRIBUTOR | null | # What does this PR do?
Fix errors raised when function `self.normalize_annotation` is called in 3 models.
There are 3 models (`conditional detr`, `deformable detr` and `detr`), whose `self.normalize_annotation` functions do not receive the `input_data_format` parameter.
`input_data_format` parameter was int... | {
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https://api.github.com/repos/huggingface/transformers/issues/25642 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25642/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25642/comments | https://api.github.com/repos/huggingface/transformers/issues/25642/events | https://github.com/huggingface/transformers/pull/25642 | 1,860,343,776 | PR_kwDOCUB6oc5YcGCt | 25,642 | Add descriptive docstring to WhisperTimeStampLogitsProcessor | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_25642). All of your documentation changes will be reflected on that endpoint.",
"Hey! Thanks for opening a PR! \r\nThis looks a bit too specific / long so will not be accepting it. Also you should run `pytest --doctest src/... | 1,692 | 1,698 | 1,698 | CONTRIBUTOR | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/25641 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25641/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25641/comments | https://api.github.com/repos/huggingface/transformers/issues/25641/events | https://github.com/huggingface/transformers/issues/25641 | 1,860,342,594 | I_kwDOCUB6oc5u4pNC | 25,641 | Eval Accumulation Steps Silently Fails w/ Accelerate >= 0.20.3? | {
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"@muellerzr just so I know, is there any estimate on this issue?",
"@muellerzr sent out a PR to fix here: https://github.com/huggingface/transformers/pull/26060",
"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 comme... | 1,692 | 1,697 | 1,697 | CONTRIBUTOR | null | ### System Info
```
Copy-and-paste the text below in your GitHub issue and FILL OUT the two last points.
- `transformers` version: 4.31.0
- Platform: Linux-5.15.0-1026-aws-x86_64-with-glibc2.10
- Python version: 3.8.17
- Huggingface_hub version: 0.16.4
- Safetensors version: 0.3.1
- Accelerate version: 0.21.0... | {
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https://api.github.com/repos/huggingface/transformers/issues/25639 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25639/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25639/comments | https://api.github.com/repos/huggingface/transformers/issues/25639/events | https://github.com/huggingface/transformers/issues/25639 | 1,860,134,694 | I_kwDOCUB6oc5u32cm | 25,639 | hidden_dropout_prob and attention_probs_dropout_prob values in the documentation doesn't match with that in the code | {
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"Thanks for catching the typo, would you like to open a PR to change the values to `0.0`? 🤗 ",
"Yes, I'll do that right away. But should the value in the documentation or the model init be changed? ",
"I think the value should be changed in the docstring to reflect whats in the `init` (pinging @ArthurZucker fo... | 1,692 | 1,694 | 1,694 | NONE | null | ### System Info
- `transformers` version: 4.30.2
- Platform: Linux-5.15.0-79-generic-x86_64-with-glibc2.29
- Python version: 3.8.10
- Huggingface_hub version: 0.16.2
- Safetensors version: 0.3.1
- PyTorch version (GPU?): 2.0.1+cu117 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/G... | {
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https://api.github.com/repos/huggingface/transformers/issues/25638 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25638/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25638/comments | https://api.github.com/repos/huggingface/transformers/issues/25638/events | https://github.com/huggingface/transformers/pull/25638 | 1,859,923,127 | PR_kwDOCUB6oc5YapTw | 25,638 | Add missing Maskformer dataclass decorator, add dataclass check in ModelOutput for subclasses | {
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"cc @amyeroberts ",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_25638). All of your documentation changes will be reflected on that endpoint.",
"Thank you for reviewing, @amyeroberts! How do you feel about my 2nd bullet point under the additional notes? Should I op... | 1,692 | 1,702 | 1,694 | CONTRIBUTOR | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/25637 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25637/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25637/comments | https://api.github.com/repos/huggingface/transformers/issues/25637/events | https://github.com/huggingface/transformers/pull/25637 | 1,859,877,698 | PR_kwDOCUB6oc5YafUZ | 25,637 | stringify config | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_25637). All of your documentation changes will be reflected on that endpoint.",
"LGTM 🚀 ",
"@AleksanderWWW can you put your PR out of draft mode so we can merge it?",
"@sgugger Done :)"
] | 1,692 | 1,692 | 1,692 | CONTRIBUTOR | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/25636 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25636/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25636/comments | https://api.github.com/repos/huggingface/transformers/issues/25636/events | https://github.com/huggingface/transformers/pull/25636 | 1,859,849,311 | PR_kwDOCUB6oc5YaY9d | 25,636 | Correct attention mask dtype for Flax GPT2 | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_25636). All of your documentation changes will be reflected on that endpoint.",
"@ArthurZucker Sure! I added a test :-)\r\n",
">would be great to make the test a fast test by defining a tester function in the model tester... | 1,692 | 1,692 | 1,692 | CONTRIBUTOR | null | # What does this PR do?
Fixes #25634
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md#start-contributing-pull-reques... | {
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https://api.github.com/repos/huggingface/transformers/issues/25635 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25635/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25635/comments | https://api.github.com/repos/huggingface/transformers/issues/25635/events | https://github.com/huggingface/transformers/pull/25635 | 1,859,587,535 | PR_kwDOCUB6oc5YZfOE | 25,635 | fix documentation for CustomTrainer | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_25635). All of your documentation changes will be reflected on that endpoint."
] | 1,692 | 1,692 | 1,692 | CONTRIBUTOR | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/25634 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25634/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25634/comments | https://api.github.com/repos/huggingface/transformers/issues/25634/events | https://github.com/huggingface/transformers/issues/25634 | 1,859,500,264 | I_kwDOCUB6oc5u1bjo | 25,634 | Problem caused by boolean attention mask in `pretrained_model.generate` of Flax GPT2 | {
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"cc @sanchit-gandhi ",
"Hey @liutianlin0121! Thanks for the comprehensive issue description! That's a good spot - we actually covert the `attention_mask` to `\"i4\"` dtype under-the-hood when we call the Flax module:\r\nhttps://github.com/huggingface/transformers/blob/450a181d8b963b4e896be4aac701815aa554a6bb/src/... | 1,692 | 1,692 | 1,692 | CONTRIBUTOR | null | Hi!
I notice that the usage of a boolean attention mask in `pretrained_model.generate` of Flax GPT2 can cause an error. Here is a short, self-contained code block to showcase the problem; I also prepared a [colab notebook here](https://colab.research.google.com/drive/1fIfOr0AFfWlAho1dwuk8zqxKxlKmzd7i?usp=sharing):
... | {
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https://api.github.com/repos/huggingface/transformers/issues/25633 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25633/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25633/comments | https://api.github.com/repos/huggingface/transformers/issues/25633/events | https://github.com/huggingface/transformers/pull/25633 | 1,859,437,909 | PR_kwDOCUB6oc5YY-Ib | 25,633 | Support loading base64 images in pipelines | {
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"cc @amyeroberts ",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_25633). All of your documentation changes will be reflected on that endpoint.",
"The PR looks good.\r\n\r\nI'm uneasy about the actual format suggested, because some stuff are base64 decodable and yet ... | 1,692 | 1,693 | 1,693 | CONTRIBUTOR | null | # What does this PR do?
Adds support for loading base64-encoded images in pipelines.
I primarily added this so it can be used by `transformers-cli serve`, since I found having to use an URL or reference to a local file a bit inconvenient for my use-case.
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https://api.github.com/repos/huggingface/transformers/issues/25632 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25632/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25632/comments | https://api.github.com/repos/huggingface/transformers/issues/25632/events | https://github.com/huggingface/transformers/issues/25632 | 1,859,410,081 | I_kwDOCUB6oc5u1Fih | 25,632 | Batching behaviour of Pipelines with datasets.Dataset as input could be clarified/improved | {
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"cc @Narsil",
"I'm pretty sure `datasets.Dataset` will not work out of the box, because `datasets.Dataset` uses different keys for different items (Same as `torch.Dataset` actually, but you're in control of those.)\r\n\r\nActually the easiest/most general way would be to use a generator for everything (you both h... | 1,692 | 1,702 | 1,702 | NONE | null | ### System Info
- `transformers` version: 4.31.0
- Platform: macOS-13.4.1-arm64-arm-64bit
- Python version: 3.11.4
- Huggingface_hub version: 0.16.4
- Safetensors version: 0.3.1
- Accelerate version: not installed
- Accelerate config: not found
- PyTorch version (GPU?): 2.0.0 (False)
- Tensorflow version (GP... | {
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https://api.github.com/repos/huggingface/transformers/issues/25631 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25631/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25631/comments | https://api.github.com/repos/huggingface/transformers/issues/25631/events | https://github.com/huggingface/transformers/pull/25631 | 1,859,324,113 | PR_kwDOCUB6oc5YYk78 | 25,631 | Skip doctest for some recent files | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,692 | 1,692 | 1,692 | COLLABORATOR | null | # What does this PR do?
skip doctests for `Idefics` and some `peft` stuff.
They are not `documentation_tests.txt` (to be removed soon) anyway.
`Idefics` cause runner crash --> we need to see why this happens (and mark it a slow doctest manually if this is necessary)
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https://api.github.com/repos/huggingface/transformers/issues/25630 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25630/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25630/comments | https://api.github.com/repos/huggingface/transformers/issues/25630/events | https://github.com/huggingface/transformers/pull/25630 | 1,859,234,117 | PR_kwDOCUB6oc5YYQ9q | 25,630 | TF 2.14 compatibility | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Amazingly, except the Hub tests, this seems to just work! I did some manual testing with 2.14-rc0 on my local machine and all tests seem to pass.",
"cc @ArthurZucker for core maintainer review"
] | 1,692 | 1,692 | 1,692 | MEMBER | null | This PR adds compatibility with TF 2.14. Right now it just updates the pin to see what breaks, but hopefully I'll also fix the things that have broken, if the mood takes me. | {
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https://api.github.com/repos/huggingface/transformers/issues/25629 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25629/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25629/comments | https://api.github.com/repos/huggingface/transformers/issues/25629/events | https://github.com/huggingface/transformers/issues/25629 | 1,859,229,877 | I_kwDOCUB6oc5u0Zi1 | 25,629 | blip itm task implementation | {
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"This is a duplicate of #22732. cc @younesbelkada as it seems to be confusing ",
"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 g... | 1,692 | 1,695 | 1,695 | NONE | null | ### System Info
In the official implementation of blip as well as the paper, the multi-modal embedding that is used to perform the itm task comes from a special token named enc_token_id. But the transformer implementation still employs [CLS] token.
```
text.input_ids[:,0] = self.tokenizer.enc_token_id
output = ... | {
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https://api.github.com/repos/huggingface/transformers/issues/25628 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25628/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25628/comments | https://api.github.com/repos/huggingface/transformers/issues/25628/events | https://github.com/huggingface/transformers/pull/25628 | 1,859,181,611 | PR_kwDOCUB6oc5YYFVz | 25,628 | Add docstrings and fix VIVIT examples | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_25628). All of your documentation changes will be reflected on that endpoint.",
"cc @Rocketknight1 ",
"@Geometrein Thanks for the PR - ping me whenever you're happy for me to merge!",
"Thanks for your review @Rocketknig... | 1,692 | 1,693 | 1,693 | CONTRIBUTOR | null | # What does this PR do?
- Add docstring for `sample_frame_indices`method
- Fix broken examples for VIVIT
- Add missing `Pytorch` & `VivitForVideoClassification` imports
- Resolve the referenced before assignment error caused by an undeclared `videoreader` variable.
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https://api.github.com/repos/huggingface/transformers/issues/25627 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25627/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25627/comments | https://api.github.com/repos/huggingface/transformers/issues/25627/events | https://github.com/huggingface/transformers/pull/25627 | 1,859,134,368 | PR_kwDOCUB6oc5YX69C | 25,627 | fix ACT_FN | {
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] | 1,692 | 1,692 | 1,692 | COLLABORATOR | null | # What does this PR do?
Fixes #24821
Superseeds #24823 | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,692 | 1,693 | 1,693 | COLLABORATOR | null | # What does this PR do?
Fixes #25602, making `can_save_slow` a property rather than an attribute as we need to check if the vocab_file still exists! | {
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https://api.github.com/repos/huggingface/transformers/issues/25625 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25625/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25625/comments | https://api.github.com/repos/huggingface/transformers/issues/25625/events | https://github.com/huggingface/transformers/issues/25625 | 1,859,034,823 | I_kwDOCUB6oc5uzp7H | 25,625 | self.pad_token detect should be is None rather than "not self.pad_token" | {
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"Thanks! I agree.\r\n\r\n@ArthurZucker If you agree, I can open a PR to update this tiny place.",
"Sure!"
] | 1,692 | 1,692 | 1,692 | NONE | null | https://github.com/huggingface/transformers/blob/2f8acfea1ca11fe3479fb379ccbded516d0cff57/src/transformers/tokenization_utils_base.py#L2506C71-L2506C71 | {
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