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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... | 1,660 | 1,674 | 1,674 | CONTRIBUTOR | null | # What does this PR do?
As per the discussions in https://github.com/huggingface/transformers/issues/18354, this PR aims to add a `HallucinationPenaltyLogitsProcessor` that takes in a `hallucination_penalty` that is applied to any tokens that are not in the original input. This acts as a hallucination filter and the... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_18674). All of your documentation changes will be reflected on that endpoint.",
"Thanks for working on this, @nbroad1881! This is a good improvement, but it will unfortunately break all existing models that have a head name... | 1,660 | 1,676 | 1,676 | CONTRIBUTOR | null | # What does this PR do?
The current implementations of DebertaForMaskedLM and DebertaV2ForMaskedLM do not load all of the weights from the checkpoints. After consulting the [original repo](https://github.com/microsoft/DeBERTa/blob/master/DeBERTa/deberta/bert.py), I modified the MaskedLM classes to load the weights c... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@ydshieh, would you like to take a look at what is proposed here?",
"@JohnGiorgi I am not familiar with this dataset. But I am wondering if a model trained on this dataset is expected to learn to deal with empty document (this seem... | 1,660 | 1,663 | 1,663 | 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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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_18672). All of your documentation changes will be reflected on that endpoint.",
"Hey @mattf1n - let me know if you're still interested in completing this PR and I'd be happy to help with any questions/queries!",
"This iss... | 1,660 | 1,666 | 1,666 | NONE | null | # What does this PR do?
Adds the option to pass `inputs_embeds` to FlaxGPTNeoForCausalLM.
This is already an option for the PyTorch version of the model GPTNeoForCausalLM.
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"_The documentation is not available anymore as the PR was closed or merged._",
"yeah, I wasn't sure, probably you're right and then like perf_train_gpu_many.mdx says on top to first read perf_train_gpu_one.mdx - add the same to perf_infer_gpu_many.mdx?",
"Yep makes sense! I propose a small refactoring at 2018... | 1,660 | 1,660 | 1,660 | CONTRIBUTOR | null | # What does this PR do?
- move bnb documentation to `perf_infer_gpu_many.mdx` as it was previously set to `perf_train_gpu_one.mdx` which is not relevant in the case of `bitsandbytes` integration since it supports inference only.
cc @stas00
I do have a question though, what about `perf_infer_gpu_one.mdx`? I t... | {
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"Also, I do not see a test case for the fit method anywhere in https://github.com/huggingface/transformers/blob/main/tests/models/clip/test_modeling_tf_clip.py, which should probably be added",
"> Also, I do not see a test case for the fit method anywhere in [https://github.com/huggingface/transformers/blob/main/... | 1,660 | 1,662 | 1,662 | NONE | null | ### System Info
transformers version: 4.21.1
Platform: MacOS BigSur 11.6.7
Python version: 3.8.13
Huggingface_hub version: 0.8.1
Tensorflow version (GPU?): 2.7.3 (False)
Flax version (CPU?/GPU?/TPU?): not installed (NA)
Jax version: not installed
JaxLib version: not installed
Using GPU in script?: no
Using di... | {
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https://api.github.com/repos/huggingface/transformers/issues/18669 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18669/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18669/comments | https://api.github.com/repos/huggingface/transformers/issues/18669/events | https://github.com/huggingface/transformers/pull/18669 | 1,342,016,363 | PR_kwDOCUB6oc49Vj-4 | 18,669 | [LongT5] Correct docs long t5 | {
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] | 1,660 | 1,660 | 1,660 | MEMBER | null | Corrects the docs of LongT5 according to discussion in https://github.com/huggingface/transformers/issues/18502 | {
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] | 1,660 | 1,661 | 1,661 | CONTRIBUTOR | null | # What does this PR do?
This PR raises an error when a user creates a custom optimizer on a TPU and they did not move the model to the right TPU device beforehand. Not doing so will cause issues such as the ones described in https://github.com/pytorch/xla/issues/3675#issuecomment-1171702988 and https://github.com/hu... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"The common case test for TorchScript, and if I recall correctly there was an issue for those models on that aspect?\r\n\r\nYou suggest to add a flag called `torch_script_compatible`? If so, [that is what I suggested back then](https:... | 1,660 | 1,662 | 1,662 | COLLABORATOR | null | # What does this PR do?
Remvoe `_create_and_check_torch_fx_tracing` in specific model test files, as the common one can handle them correctly.
The only exception is `Hubert` model, but we can also remove it, and set `fx_compatible` to `False` (just as for `Wav2Vec2`).
It might be better to add `torch_script_comp... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,660 | 1,660 | 1,660 | CONTRIBUTOR | null | # What does this PR do?
This PR adds `evaluate` as part of the requirements to all of the examples scripts that need them
Fixes # (issue)
Closes https://github.com/huggingface/transformers/issues/18663
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if... | {
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https://api.github.com/repos/huggingface/transformers/issues/18665 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18665/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18665/comments | https://api.github.com/repos/huggingface/transformers/issues/18665/events | https://github.com/huggingface/transformers/issues/18665 | 1,341,687,403 | I_kwDOCUB6oc5P-IZr | 18,665 | Unexpected keyword argument 'trust_remote_code' when using `table-question-answering` pipeline | {
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"It is not only for local model broken\r\n\r\n```python\r\nfrom transformers import pipeline\r\ntq = pipeline(\"table-question-answering\",model=\"microsoft/tapex-base-finetuned-wtq\")\r\n```\r\ncreates the same error \r\n",
"cc @NielsRogge @Narsil ",
"Hi @philschmid, I tried your code and raised the same error... | 1,660 | 1,661 | 1,661 | MEMBER | null | ### System Info
- `transformers` version: 4.21.1
- Platform: Linux-5.4.188+-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.7.13
- Huggingface_hub version: 0.8.1
- PyTorch version (GPU?): 1.12.1+cu113 (False)
- Tensorflow version (GPU?): 2.8.2 (False)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Ja... | {
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"Hi @balachander1964 -- if you check the error log you shared, the error does not come from the `transformers` library. From a quick google search, the error seems to be from the environment set up (try googling `DLL load failed: The specified module could not be found.`)\r\n\r\nAs per our [issues guidelines](https... | 1,660 | 1,664 | 1,664 | NONE | null | Hi, I use a Windows 10 Proffessional laptop for development and am using python 3.7.6 conda virtual env. I get the following run time error when running my code (below, after the error details).
<<
bertqa interactive window [PTVS 17.0.22089.1-17.0]
Type $help for a list of commands.
The interactive window has not y... | {
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https://api.github.com/repos/huggingface/transformers/issues/18663 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18663/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18663/comments | https://api.github.com/repos/huggingface/transformers/issues/18663/events | https://github.com/huggingface/transformers/issues/18663 | 1,341,562,012 | I_kwDOCUB6oc5P9pyc | 18,663 | No module named 'evaluate' | {
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"Hi! You need to do `pip install evaluate`. #18666 will also add it to each of the `examples` internal `requirements.txt` file, so it will be installed when you do `pip install -r requirements.txt`",
"> Hi! You need to do `pip install evaluate`. #18666 will also add it to each of the `examples` internal `requirem... | 1,660 | 1,660 | 1,660 | NONE | null | https://github.com/huggingface/transformers/blob/c99e984657b64dd8f19de74405bbf13763ab4f2b/examples/pytorch/language-modeling/run_mlm.py#L35
When I pre-train RoBerta from scratch using the latest version `run_mlm.py`, there is an error :
```
import evaluate
ModuleNotFoundError: No module named 'evaluate'
``` | {
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"Thanks for opening an issue @Charithavarma!\r\n\r\n@ydshieh, could you take a look here?",
"Could confirm the issue. Also occur for slow bart tokenizer. I can see the word is added to the tokenizers, but the output don't change.",
"```python\r\nfrom transformers import AutoTokenizer\r\n\r\ntokenizer_slow = Aut... | 1,660 | 1,661 | 1,661 | NONE | null | Hi @LysandreJik ,
I am working on audio captioning, and the ground truth captions are tokenized using the BartTokenizer. I have observed that some of the words in the captions are not tokenized correctly. For instance, the word 'rumbling'. There is no such word in the tokenizer, and its tokenizing is ['Δ r', 'umbling... | {
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https://api.github.com/repos/huggingface/transformers/issues/18661 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18661/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18661/comments | https://api.github.com/repos/huggingface/transformers/issues/18661/events | https://github.com/huggingface/transformers/issues/18661 | 1,341,453,262 | I_kwDOCUB6oc5P9PPO | 18,661 | Refactor Pytorch `model.generate` method to work on TPU | {
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"cc @patrickvonplaten",
"Hey @mikcnt, \r\n\r\nThis sounds like a very cool project and I think we should sooner or later focus on it. Currently I won't have the time to take a closer look here, but my advice would be:\r\n\r\n- I think you're totally right in that PyTorch/XLA often falls back on CPU which is why i... | 1,660 | 1,705 | null | CONTRIBUTOR | null | ### Feature request
Refactor PT version of the method `model.generate` for text generating models to make it compatible with XLA and speed up inference on TPU.
### Motivation
Right now, `model.generate` on PT is extremely slow on TPU compared to CPU and GPU. This is probably due to the fact that some operations done... | {
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https://api.github.com/repos/huggingface/transformers/issues/18660 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18660/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18660/comments | https://api.github.com/repos/huggingface/transformers/issues/18660/events | https://github.com/huggingface/transformers/issues/18660 | 1,341,285,032 | I_kwDOCUB6oc5P8mKo | 18,660 | _no_load_in_8bit module list have custom ignored layers | {
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"Hi @ArthurZucker \r\nThanks a lot for the feature request! \r\nI have addressed a commit in https://github.com/huggingface/transformers/pull/18646 that should support adding an argument `no_load_in_8bit_modules` in `from_pretrained` function. Could you try it in your usecase and let me know if this helped?",
"Th... | 1,660 | 1,663 | 1,663 | COLLABORATOR | null | ### Feature request
Could be awesome to have the property `_no_load_in_8bit = []` for the 8bit quantisation to allow custom layers to not be converted.
CC @younesbelkada
### Motivation
Would increase flexibility
### Your contribution
Would be testing on `Jukebox`
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https://api.github.com/repos/huggingface/transformers/issues/18659 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18659/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18659/comments | https://api.github.com/repos/huggingface/transformers/issues/18659/events | https://github.com/huggingface/transformers/issues/18659 | 1,341,096,689 | I_kwDOCUB6oc5P74Lx | 18,659 | DeBERTa can't load some parameters | {
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"#18674 should fix this. Thanks for reporting!",
"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/hu... | 1,660 | 1,664 | 1,664 | NONE | null | ### System Info
- `transformers` version: 4.21.1
- Platform: Linux-5.4.0-81-generic-x86_64-with-glibc2.31
- Python version: 3.9.12
- Huggingface_hub version: 0.8.1
- PyTorch version (GPU?): 1.11.0+cu113 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- ... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_18658). All of your documentation changes will be reflected on that endpoint.",
"WDYT @sanchit-gandhi?",
"Hey @congyingxia and sorry for the delay! \r\n\r\nWe try to keep these examples as simple as possible. In that spir... | 1,660 | 1,664 | 1,664 | NONE | null | Current code only works on 1 TPU worker. If there's multiple TPU workers, the data need to be split into multiple workers first then shard to local devices. The same issue for T5 language modeling with flax: https://github.com/google/flax/discussions/2017
# What does this PR do?
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_18657). 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... | 1,660 | 1,664 | 1,664 | NONE | null | # What does this PR do?
The code for training models via zero shot distillation was breaking because the .map() function was removing the _labels_ field from the dataset object. This PR fixes the issue by changing the way the tokenizer is called via the map() function.
Fixes [https://github.com/huggingface/transf... | {
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"@NautiyalAmit Sure!",
"@NautiyalAmit The provided code snippet has several issues that it fails to run. \r\n\r\nThe \"model path \" is not a valid model name on the Hub, and I don't know which one you tried.\r\nThe call `print(question_answer(chunk, question,handle_impossible_answer=False))` has missing argument... | 1,660 | 1,664 | 1,664 | NONE | null | ### System Info
- pytorch==1.10.2
- transformers==4.20.1
- python=3.9.7
-
### 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 own task or datas... | {
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https://api.github.com/repos/huggingface/transformers/issues/18655 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18655/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18655/comments | https://api.github.com/repos/huggingface/transformers/issues/18655/events | https://github.com/huggingface/transformers/issues/18655 | 1,340,534,392 | I_kwDOCUB6oc5P5u54 | 18,655 | Generate: deprecate the use of model `config` as a source of defaults | {
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"cc @patrickvonplaten ",
"I like the idea of using a `use_config_defaults` a lot - think that's a great additional safety mechanism to ensure it's possible to keep backward compatibility. \r\n\r\nAlso we were thinking about the idea of having a `generation_config.json` file that can optionally be passed to `gener... | 1,660 | 1,677 | 1,677 | MEMBER | null | EDIT: Updated with the discussion up to [2022/08/20](https://github.com/huggingface/transformers/issues/18655#issuecomment-1221047772)
## Why?
A confusing part of `generate` is how the defaults are set. When a certain argument is not specified, we attempt to fetch it from the model `config` file. This makes `gene... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@stevhliu is there a better way to format a link to the `prepare_tf_dataset` docs [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_18654/en/training#loading-data-as-a-tfdatadataset) than the way I did it here? It print... | 1,660 | 1,662 | 1,662 | MEMBER | null | This PR updates the fine-tuning sidebar tutorial with modern TF methods that were added in the most recent release. | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,660 | 1,660 | 1,660 | MEMBER | null | # What does this PR do?
FLAX version of https://github.com/huggingface/transformers/pull/18261
Adds model_kwargs validation to FLAX generate, which also catches typos in the arguments. See the PR above for more details and an example of the error message users will see. | {
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"float32 compared with bfloat16 without and with z_loss\r\n\r\n",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_18652). All of your documentation changes will ... | 1,660 | 1,675 | 1,667 | CONTRIBUTOR | null | # What does this PR do?
This PR adds Flax code for a cross entropy loss calculation with an additional term to stabilize gradients for bfloat16 training.
The loss function is authored by the T5X Authors (https://github.com/google-research/t5x/blob/90d74fa703075d8b9808ae572602bc48759f8bcc/t5x/losses.py#L25)
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,660 | 1,662 | 1,662 | MEMBER | null | # What does this PR do?
TF version of https://github.com/huggingface/transformers/pull/18261
Adds `model_kwargs` validation to TF `generate`, which also catches typos in the arguments. See the PR above for more details and an example of the error message users will see.
Since TF had no dedicated file for `gene... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Ah, additional nit: I'd document this somewhere.",
"@LysandreJik I think a lot of these envvars aren't documented anywhere - I can't see any documentation for USE_TF or USE_TORCH! Maybe we should make a separate docs PR with a list... | 1,660 | 1,660 | 1,660 | MEMBER | null | We have a user report that with custom Tensorflow builds and package names that `_tf_available` can return `False` even if `import tensorflow` succeeds, because the user's package name isn't in the [allowed list](https://github.com/huggingface/transformers/blob/02b176c4ce14340d26d42825523f406959c6c202/src/transformers... | {
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"WDYT @lhoestq?",
"Unfortunately the `skip` function does the same. Though if you call `skip` before `map` it won't apply the preprocessing on the examples to skip and save time.\r\n\r\nTherefore I don't think it using `skip` would have a big impact here",
"Thanks for your insight @lhoestq . Is there a technica... | 1,660 | 1,663 | 1,663 | CONTRIBUTOR | null | ### Feature request
Huggingface Datasets has a feature where you can instantiate datasets in streaming mode, so you don't have to download the whole thing onto your machine. The API has a skip function. The Transformers Trainer doesn't use this, it just iterates through all the batches to be skipped.
I propose Trai... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,660 | 1,660 | 1,660 | MEMBER | null | # What does this PR do?
There was a dynamic shape being fetched as a static shape, causing issues from the 2nd generation iteration.
Fixes #18630 | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"This looks reasonable given the error message! cc @NielsRogge "
] | 1,660 | 1,661 | 1,661 | CONTRIBUTOR | null | # What does this PR do?
Fixes costs condition in DetrHungarianMatcher and YolosHungarianMatcher. In https://github.com/huggingface/transformers/pull/16720 a bug was introduced while switching from asserts to conditions. Currently, any zero-cost will result in a ValueError:
```python
if class_cost == 0 or bbox_co... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Can confirm the tests pass!",
"so will there always be just one module not to convert?\r\n\r\nwon't it be safer to have modules instead and work with the list?",
"I have proposed a small refactoring that includes:\r\n\r\n- checki... | 1,660 | 1,663 | 1,663 | CONTRIBUTOR | null | # What does this PR do?
Fixes a small typo in `bitsandbytes.py`, should address https://github.com/huggingface/blog/pull/463#discussion_r946067141
I will have to test it first and mark it as ready for review! | {
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"cc @cakiki ",
"_The documentation is not available anymore as the PR was closed or merged._",
"I would remove it, as it doesn't matter for the architecture, which these docs explain afaict? It's just an artefact of the data the models are trained on, hence it's arldy on the pretrained model & dataset READMEs. ... | 1,660 | 1,663 | 1,663 | CONTRIBUTOR | null | # What does this PR do?
Addressing https://huggingface.co/bigscience/bloom/discussions/86
I think that we should add the full list of the trained languages on the documentation so that we can refer to that whenever any user will have any question related to the trained languages
cc @ydshieh @Muennighoff
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,660 | 1,660 | 1,660 | COLLABORATOR | null | # What does this PR do?
To align with CircleCI tests. | {
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"@Narsil is the one knows the best.\r\n\r\nThis is added in the PR #13220",
"@roetezadi How did you solve this ?"
] | 1,660 | 1,661 | 1,661 | NONE | null | ### System Info
Google colab
### Who can help?
Anyone
### 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
Hi,
I have ... | {
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"Hi @kevint324 I think it (extending the list ) is fine if you would work with a specific `transformers` version. But it would be a bit tedious if you want to use newer versions constantly.\r\n\r\ncc @Rocketknight1 for the idea regarding `adding some runtime flexibility`.",
"Changed the tag to `Feature request` i... | 1,660 | 1,660 | 1,660 | NONE | null | ### System Info
n/a
### Who can help?
@Rocketknight1
### Information
- [ ] The official example scripts
- [x] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or dataset (give details below)
### Reproduction
```
Fi... | {
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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... | 1,660 | 1,666 | null | MEMBER | null | ### Feature request
Add the [VideoMAE](https://huggingface.co/docs/transformers/main/en/model_doc/videomae) model in TensorFlow.
### Motivation
There's an evident scarcity of SoTA and easy-to-use video models in TensorFlow. I believe having VideoMAE in TensorFlow would greatly benefit the community.
### Your contr... | {
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https://api.github.com/repos/huggingface/transformers/issues/18640 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18640/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18640/comments | https://api.github.com/repos/huggingface/transformers/issues/18640/events | https://github.com/huggingface/transformers/pull/18640 | 1,339,691,022 | PR_kwDOCUB6oc49N2_5 | 18,640 | Finetune guide for semantic segmentation | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,660 | 1,662 | 1,662 | MEMBER | null | This PR creates a finetune guide for semantic segmentation in the docs. Unlike previous finetune guides, this one will include:
* metrics for evaluation
* a section for how to use the model for inference
* an embedded Gradio demo
π§ To do:
- [x] create section for inference
- [ ] create Gradio demo | {
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"Hi @xvjiarui, actually the output between original and hf is the same, but you compare with the wrong tensor. Firstly, we can compare the code between the original and hf (here we focus on the text features part).\r\n\r\n```\r\n# Original CLIP\r\ndef encode_image(self, image):\r\n return self.visual(image.type(... | 1,660 | 1,661 | 1,661 | CONTRIBUTOR | null | ### System Info
I am using transformer 4.20.1.
I found that the official CLIP model outputs don't match the hugging face one.
### Who can help?
@NielsRogge @stevhliu
### Information
- [X] The official example scripts
- [ ] My own modified scripts
### Tasks
- [X] An officially supported tas... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"cc @muellerzr, would you like to take a look at this while Sylvain is away?"
] | 1,660 | 1,660 | 1,660 | CONTRIBUTOR | null | # What does this PR do?
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"_The documentation is not available anymore as the PR was closed or merged._",
"cc @muellerzr would you like to take a look at this while Sylvain is away?",
"@zhoutang776 I believe these two are the same, no? https://github.com/huggingface/transformers/pull/18638",
"> @zhoutang776 I believe these two are the... | 1,660 | 1,660 | 1,660 | CONTRIBUTOR | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/18636 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18636/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18636/comments | https://api.github.com/repos/huggingface/transformers/issues/18636/events | https://github.com/huggingface/transformers/issues/18636 | 1,339,409,931 | I_kwDOCUB6oc5P1cYL | 18,636 | Support output_scores in XLA TF generate | {
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"cc @gante @sgugger ",
"Hey @rossbucky π The support for returning scores with XLA is in our plans. Like other XLA-related changes, it requires rewriting that part of the code to work with static shapes, as opposed to lists of tensors that grow as generate runs. \r\n\r\nThe next round of `generate` changes will ... | 1,660 | 1,680 | null | NONE | null | ### Feature request
Support output_scores in XLA TF generate.
### Motivation
The scores would be critical and widely used in generation models for downstream applications. It is a confidence score for downstream thresholding or ranking. But it is not yet supported for XLA TF generate.
### Your contribution... | {
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https://api.github.com/repos/huggingface/transformers/issues/18635 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18635/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18635/comments | https://api.github.com/repos/huggingface/transformers/issues/18635/events | https://github.com/huggingface/transformers/issues/18635 | 1,339,386,290 | I_kwDOCUB6oc5P1Wmy | 18,635 | Passing optimizer to Trainer constructor does not work | {
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"cc @muellerzr, would you like to take a look at this while Sylvain is on leave?",
"@quantitative-technologies your issue here is how you have your if/else setup. I believe by reinstantiating an optimizer always even if we don't use it in the trainer, the model gets linked to that optimizer instead (or too?), and... | 1,660 | 1,695 | 1,661 | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.20.1
- Platform: Linux-5.4.188+-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.7.13
- Huggingface_hub version: 0.8.1
- PyTorch version (GPU?): 1.12.0+cu102 (False)
- Tensorflow version (GPU?): 2.8.2 (False)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Ja... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,660 | 1,660 | 1,660 | CONTRIBUTOR | null | # What does this PR do?
<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
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"_The documentation is not available anymore as the PR was closed or merged._",
"Hey @mathemakitten, let's try to solve the CircleCI issue! Could you try refreshing your permissions as shown [here](https://support.circleci.com/hc/en-us/articles/360048210711-How-to-Refresh-User-Permissions-)?",
"Hi @LysandreJik,... | 1,660 | 1,663 | 1,663 | NONE | null | (feel free to ignore; trying to see if this triggers CI successfully as it's not working for me on other HF repos) | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"cc @younesbelkada ",
"Hi @younesbelkada ,\r\n\r\nsure no problem, here are the steps (fresh environment):\r\n\r\n```bash\r\ngit clone https://github.com/huggingface/transformers.git\r\ncd transformers/\r\npip3 install -e .\r\npip3 ... | 1,660 | 1,660 | 1,660 | COLLABORATOR | null | Hi,
this PR adds support for fine-tuning Bloom models for token classification tasks.
After trying out the current example, I got an error message from the tokenizer part, that `add_prefix_space=True` needs to be set. So with this PR, Bloom can be used in token classification example for PyTorch (there's no suppo... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"You could also read the rendered doc (not GitHub page) below\r\n\r\nhttps://moon-ci-docs.huggingface.co/docs/transformers/pr_18631/en/perf_train_gpu_one#efficient-training-on-a-single-gpu\r\n(toward the end)",
"@ydshieh do you thin... | 1,660 | 1,660 | 1,660 | CONTRIBUTOR | null | # What does this PR do?
Addressing the request from https://github.com/huggingface/transformers/pull/17901 to refactor the documentation a little bit and fixes small details in the bnb PR.
- Fixing documentation
- Added useful troubleshooting document for more efficient debugging
- Updated the `Dockerfile` wit... | {
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https://api.github.com/repos/huggingface/transformers/issues/18630 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18630/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18630/comments | https://api.github.com/repos/huggingface/transformers/issues/18630/events | https://github.com/huggingface/transformers/issues/18630 | 1,338,968,725 | I_kwDOCUB6oc5PzwqV | 18,630 | XLA generation error with repetition_penalty | {
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"Hey @AlekseyKorshuk π Thank you for the reproducible script! \r\n\r\nI have never seen this exception, so I'll have to dig into it. Expect further information soon :)",
"@AlekseyKorshuk The PR linked above fixes the issue :) After it is merged, you'll have to install `transformers` from `main` to get its benefi... | 1,660 | 1,664 | 1,660 | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.22.0.dev0
- Platform: Linux-5.13.0-40-generic-x86_64-with-glibc2.29
- Python version: 3.8.10
- Huggingface_hub version: 0.8.1
- PyTorch version (GPU?): 1.10.1+cu113 (True)
- Tensorflow version (GPU?): 2.9.1 (True)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
... | {
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https://api.github.com/repos/huggingface/transformers/issues/18629 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18629/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18629/comments | https://api.github.com/repos/huggingface/transformers/issues/18629/events | https://github.com/huggingface/transformers/issues/18629 | 1,338,963,483 | I_kwDOCUB6oc5PzvYb | 18,629 | OWL-ViT memory usage grows linearly with each prediction | {
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"cc @alaradirik as well :)",
"Thank you @zduey, I'm looking into this! ",
"@alaradirik - You are likely further along isolating the problem than I am, so please ignore if this is a distraction. The issue seems specific to repeated calls to the `OwlViTForObjectDetection` forward pass. \r\n\r\nThe following resul... | 1,660 | 1,687 | 1,662 | NONE | null | ### System Info
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- Platform: Linux-5.10.102.1-microsoft-standard-WSL2-x86_64-with-glibc2.29
- Python version: 3.8.11
- Huggingface_hub version: 0.8.1
- PyTorch version (GPU?): 1.12.1+cu102 (False)
- Tensorflow version (GPU?): not installed (NA)
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"_The documentation is not available anymore as the PR was closed or merged._",
"@regisss hopefully you don't have to make any changes this time to make the tests pass!",
"Pinging @sgugger for final approval",
"Feel free to merge if you approve @lewtun",
"@lewtun Can you take a quick look at this PR and mer... | 1,660 | 1,661 | 1,661 | CONTRIBUTOR | null | Adds GroupViT to models exportable with ONNX | {
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https://api.github.com/repos/huggingface/transformers/issues/18627 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18627/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18627/comments | https://api.github.com/repos/huggingface/transformers/issues/18627/events | https://github.com/huggingface/transformers/issues/18627 | 1,338,800,397 | I_kwDOCUB6oc5PzHkN | 18,627 | can't run the wav2vec2-base-960 example | {
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"Hi, @mehrdad78, I made some modifications to your script. But it should work the same, below is the modified script:\r\n```\r\nfrom datasets import load_dataset\r\nfrom transformers import Wav2Vec2ForCTC, Wav2Vec2Processor\r\nimport torch\r\nfrom jiwer import wer\r\n\r\nlibrispeech_eval = load_dataset(\r\n \"hf... | 1,660 | 1,661 | 1,661 | NONE | null | ### System Info
i use Google Colab and the newest version of transformer
i wanted to run this example but i got error :`list indices must be integers or slices not str`
because line of :
`**result = librispeech_eval.map(map_to_pred, batched=True, batch_size=1, remove_columns=["audio"])**`
```
from datasets im... | {
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https://api.github.com/repos/huggingface/transformers/issues/18626 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18626/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18626/comments | https://api.github.com/repos/huggingface/transformers/issues/18626/events | https://github.com/huggingface/transformers/issues/18626 | 1,338,799,923 | I_kwDOCUB6oc5PzHcz | 18,626 | Parallelization for OPT model | {
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"I have the same question since directly tuning models with this size (OPT) on one single device is infeasible. It would be great to have the parallelization mechanism implemented for OPT models. Many thanks! ",
"See this conversation which might help out: https://huggingface.co/facebook/opt-66b/discussions/6",
... | 1,660 | 1,663 | 1,663 | NONE | null | ### System Info
- `transformers` version: 4.20.1
- Platform: Linux-5.4.0-113-generic-x86_64-with-glibc2.17
- Python version: 3.8.13
- Huggingface_hub version: 0.8.1
- PyTorch version (GPU?): 1.10.1+cu111 (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/18625 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18625/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18625/comments | https://api.github.com/repos/huggingface/transformers/issues/18625/events | https://github.com/huggingface/transformers/pull/18625 | 1,338,773,496 | PR_kwDOCUB6oc49K2jG | 18,625 | Create pipeline_tutorial.mdx german docs | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@patrickvonplaten, can you take a look at this?"
] | 1,660 | 1,662 | 1,662 | CONTRIBUTOR | null | this PR is another progress for https://github.com/huggingface/transformers/issues/18564 | {
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https://api.github.com/repos/huggingface/transformers/issues/18624 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18624/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18624/comments | https://api.github.com/repos/huggingface/transformers/issues/18624/events | https://github.com/huggingface/transformers/issues/18624 | 1,338,750,640 | I_kwDOCUB6oc5Py7aw | 18,624 | Community Integration: Colossal-AI for Large AI Models | {
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"If you have any difficulties or concerns, please let me know.\r\nWe can have further discussion about them, thanks. :-)",
"@stas00 \r\nseems much better than https://github.com/huggingface/transformers/issues/17392",
"I haven't had a change to read on Colossal-AI yet, why do you believe it's much better based ... | 1,660 | 1,664 | 1,664 | NONE | null | ### Feature request
Dear Hugging Face Team,
My name is Yongbin Li. I am part of [Colossal-AI](https://github.com/hpcaitech/ColossalAI) Team.
Thanks for your previous [invitation](https://github.com/hpcaitech/ColossalAI/issues/396) to Colossal-AI org to join Hugging Face. We are happy to share our founder's [b... | {
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https://api.github.com/repos/huggingface/transformers/issues/18623 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18623/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18623/comments | https://api.github.com/repos/huggingface/transformers/issues/18623/events | https://github.com/huggingface/transformers/issues/18623 | 1,338,748,120 | I_kwDOCUB6oc5Py6zY | 18,623 | `local_files_only=True` not work | {
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"how did you solve it?"
] | 1,660 | 1,681 | 1,661 | NONE | null | ### System Info
torch 1.12.1
transformers 4.21.1
### 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, ...)
- [X] My own task or data... | {
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https://api.github.com/repos/huggingface/transformers/issues/18622 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18622/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18622/comments | https://api.github.com/repos/huggingface/transformers/issues/18622/events | https://github.com/huggingface/transformers/issues/18622 | 1,338,675,194 | I_kwDOCUB6oc5Pyo_6 | 18,622 | variable name:_name = "label" if "label" in features[0].keys() else "labels" when training custom NER | {
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"Hello, thanks for opening an issue! We try to keep the github issues for bugs/feature requests.\r\nCould you ask your question on the [forum](https://discuss.huggingface.co) instead?\r\n\r\nThanks!",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this stil... | 1,660 | 1,663 | 1,663 | NONE | null | I am trying to run custom NER on my data using offset values. I tried to replicate using this link << https://huggingface.co/course/chapter7/2 >>
I keep getting the error
**_name = "label" if "label" in features[0].keys() else "labels"
AttributeError: 'tokenizers.Encoding' object has no attribute 'keys'**
... | {
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https://api.github.com/repos/huggingface/transformers/issues/18621 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18621/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18621/comments | https://api.github.com/repos/huggingface/transformers/issues/18621/events | https://github.com/huggingface/transformers/issues/18621 | 1,338,648,877 | I_kwDOCUB6oc5Pyikt | 18,621 | How to load multiple TXT training files when pre-train RoBERTa from scratch | {
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"I would recommend using `datasets` in order to store all of your data; you can then pass it either as a local dataset or as a dataset stored on the Hub to that same script.",
"> I would recommend using `datasets` in order to store all of your data; you can then pass it either as a local dataset or as a dataset s... | 1,660 | 1,663 | 1,663 | NONE | null | https://github.com/huggingface/transformers/blob/d6eeb871706db0d64ab9ffd79f9545d95286b536/examples/pytorch/language-modeling/run_mlm.py#L308
Hi, I want to pre-train RoBERTa from scratch on my dataset. But in example run_mlm.py:
```
data_files = {}
if data_args.train_file is not None:
... | {
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https://api.github.com/repos/huggingface/transformers/issues/18620 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18620/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18620/comments | https://api.github.com/repos/huggingface/transformers/issues/18620/events | https://github.com/huggingface/transformers/issues/18620 | 1,338,386,950 | I_kwDOCUB6oc5PxioG | 18,620 | Big Bird cannot be converted to ONNX | {
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"cc @vumichien, have you encountered this when contributing the BigBird ONNX exporter?",
"@LysandreJik I didn't encounter this problem when contributing the BigBird ONNX exporter. I do check again by running `RUN_SLOW=1 pytest tests/onnx/test_onnx_v2.py -k \"bigbird\"` , and all the tests are still passed. ",
"... | 1,660 | 1,665 | 1,665 | NONE | null | ### System Info
- `transformers` version: 4.22.0.dev0
- Platform: Linux-5.17.5-x86_64-with-glibc2.33
- Python version: 3.9.6
- Huggingface_hub version: 0.8.1
- PyTorch version (GPU?): 1.12.0+cu102 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax ve... | {
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https://api.github.com/repos/huggingface/transformers/issues/18619 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18619/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18619/comments | https://api.github.com/repos/huggingface/transformers/issues/18619/events | https://github.com/huggingface/transformers/issues/18619 | 1,338,329,928 | I_kwDOCUB6oc5PxUtI | 18,619 | Bug in DonutFeatureExtractor | {
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"Hi,\r\n\r\nThe [docstring](https://huggingface.co/docs/transformers/main/en/model_doc/donut#transformers.DonutFeatureExtractor.size) says that the size argument should be a tuple of (width, height). "
] | 1,660 | 1,662 | 1,662 | NONE | null | ### System Info
- `transformers` version: 4.22.0.dev0
- Platform: Linux-5.10.133+-x86_64-with-debian-bullseye-sid
- Python version: 3.7.12
- Huggingface_hub version: 0.8.1
- PyTorch version (GPU?): 1.11.0 (True)
- Tensorflow version (GPU?): 2.6.4 (True)
- Flax version (CPU?/GPU?/TPU?): 0.5.2 (gpu)
- Jax version... | {
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https://api.github.com/repos/huggingface/transformers/issues/18618 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18618/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18618/comments | https://api.github.com/repos/huggingface/transformers/issues/18618/events | https://github.com/huggingface/transformers/pull/18618 | 1,338,321,289 | PR_kwDOCUB6oc49JXEu | 18,618 | Add depth estimation pipeline | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Hi @NielsRogge @Narsil I tried debugging to resolve above issue, I found that in `src/transformers/models/auto/auto_factory.py` in line 462 `model_class = _get_model_class(config, cls._model_mapping)` when I logged `cls._model_mapp... | 1,660 | 1,665 | 1,665 | 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.
* I tried debugging
Then, pl... | {
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https://api.github.com/repos/huggingface/transformers/issues/18617 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18617/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18617/comments | https://api.github.com/repos/huggingface/transformers/issues/18617/events | https://github.com/huggingface/transformers/issues/18617 | 1,338,317,250 | I_kwDOCUB6oc5PxRnC | 18,617 | Post-processing for HumanEval code generations not working properly | {
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"Update: the case I mentioned would never occur with the stoppingcriteria in codeparrot as all generation should include an eof_string so no bug https://github.com/huggingface/transformers/blob/d6eeb871706db0d64ab9ffd79f9545d95286b536/examples/research_projects/codeparrot/scripts/human_eval.py#L59"
] | 1,660 | 1,660 | 1,660 | CONTRIBUTOR | null | ### System Info
Not system-dependent
### Who can help?
### 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 own task or dataset (give details below)
### Reprodu... | {
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https://api.github.com/repos/huggingface/transformers/issues/18616 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18616/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18616/comments | https://api.github.com/repos/huggingface/transformers/issues/18616/events | https://github.com/huggingface/transformers/issues/18616 | 1,338,052,780 | I_kwDOCUB6oc5PwRCs | 18,616 | BartForConditionalGeneration is erroneous either at .forward or at .generate | {
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"Hi @Aktsvigun π You are absolutely right, our documentation is not clear at the moment if you want to get the scores with beam search. In essence, the scores for a given index of `generate_output.sequences_scores` do not match the sequence with that index, because the sequence's internal index during beam search ... | 1,660 | 1,674 | 1,674 | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.20.1
- Platform: Linux-5.4.0-58-generic-x86_64-with-debian-buster-sid
- Python version: 3.7.12
- Huggingface_hub version: 0.8.1
- PyTorch version (GPU?): 1.10.1+cu111 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installe... | {
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https://api.github.com/repos/huggingface/transformers/issues/18615 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18615/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18615/comments | https://api.github.com/repos/huggingface/transformers/issues/18615/events | https://github.com/huggingface/transformers/pull/18615 | 1,337,999,201 | PR_kwDOCUB6oc49Ib6H | 18,615 | Determine framework automatically before ONNX export | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"> Thank you so much for greatly improving the framework selection in the ONNX exporter @rachthree (also, welcome as a first time contributor π₯³)!\r\n> \r\n> Overall, the logic looks great to me and I'd really like to see a unit test ... | 1,660 | 1,661 | 1,661 | CONTRIBUTOR | null | # What does this PR do?
Determines whether to use `torch` or `tf2onnx` as the ONNX exporter automatically with the following priority:
1. User input via `framework` / `--framework`.
2. If local checkpoint is provided, use the same framework as the checkpoint.
3. Available framework in environment, with priority g... | {
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https://api.github.com/repos/huggingface/transformers/issues/18614 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18614/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18614/comments | https://api.github.com/repos/huggingface/transformers/issues/18614/events | https://github.com/huggingface/transformers/issues/18614 | 1,337,998,500 | I_kwDOCUB6oc5PwDyk | 18,614 | `transformers.convert_graph_to_onnx.quantize` fails in unit tests | {
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"cc @lewtun ",
"I have fixed this in https://github.com/huggingface/transformers/pull/18336, but still waiting for a review.",
"Looks like this has been fixed! Closing this."
] | 1,660 | 1,661 | 1,661 | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.22.0.dev0
- Platform: Linux-5.10.60.1-microsoft-standard-WSL2-x86_64-with-glibc2.29
* Used `tensorflow/tensorflow:latest` Docker image for this environment, then used `pip install -e '.[dev,onnx]'`
- Python version: 3.8.10
- Huggingface_hub version: 0.8.1
- PyTorch ... | {
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https://api.github.com/repos/huggingface/transformers/issues/18613 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18613/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18613/comments | https://api.github.com/repos/huggingface/transformers/issues/18613/events | https://github.com/huggingface/transformers/pull/18613 | 1,337,966,932 | PR_kwDOCUB6oc49IV7H | 18,613 | feed `input_embeds` into `FlaxT5ForConditionalGeneration` | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_18613). All of your documentation changes will be reflected on that endpoint.",
"Hey @BigRedT! Awesome that you've managed to get it working with so little code! And great to see that the model outputs are the same for `inp... | 1,660 | 1,668 | 1,668 | NONE | null | This is a PR requested by @sanchit-gandhi in [https://github.com/huggingface/transformers/issues/18036#issuecomment-1214131955](https://github.com/huggingface/transformers/issues/18036#issuecomment-1214131955)
To summarize the issue - Flax encoder-decoder models are currently missing `input_embeds` argument, unlike ... | {
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https://api.github.com/repos/huggingface/transformers/issues/18612 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18612/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18612/comments | https://api.github.com/repos/huggingface/transformers/issues/18612/events | https://github.com/huggingface/transformers/issues/18612 | 1,337,928,459 | I_kwDOCUB6oc5PvysL | 18,612 | RuntimeError: Error(s) in loading state_dict for Wav2Vec2ForCTC | {
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"Hey @YingLi001! Great question, and awesome that you found help using materials on the HuggingFace Hub and GitHub!\r\n\r\nI'll first provide some context regarding Wav2Vec2 models, their tokenisers and how they affects the model weights. This information should help in answering your questions!\r\n\r\nThe pre-trai... | 1,660 | 1,665 | 1,665 | NONE | null | ### System Info
Transformers version: 4.4.0
Platform: Google Colab
Python version: 3.7
### Who can help?
@patrickvonplaten, @anton-l, @sanchit-gandhi
### Information
- [ ] The official example scripts
- [X] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` fo... | {
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https://api.github.com/repos/huggingface/transformers/issues/18611 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18611/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18611/comments | https://api.github.com/repos/huggingface/transformers/issues/18611/events | https://github.com/huggingface/transformers/issues/18611 | 1,337,865,063 | I_kwDOCUB6oc5PvjNn | 18,611 | OSError in linux server | {
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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... | 1,660 | 1,663 | 1,663 | NONE | null | ### System Info
Python 3.8.10
version of transformers == 4.0.1
linux server
### Who can help?
@patil-suraj
Hi. I'm fine-tuning TrOCR in Farsi.
### Information
- [ ] The official example scripts
- [X] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` ... | {
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https://api.github.com/repos/huggingface/transformers/issues/18610 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18610/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18610/comments | https://api.github.com/repos/huggingface/transformers/issues/18610/events | https://github.com/huggingface/transformers/pull/18610 | 1,337,717,607 | PR_kwDOCUB6oc49HkNY | 18,610 | Added Docstrings for Deberta and DebertaV2 [PyTorch] | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@ydshieh I made the changes you mentioned in this PR: https://github.com/huggingface/transformers/pull/17997\r\n",
"@patrickvonplaten would like to have your feedback on this",
"request @LysandreJik for a final review in order ... | 1,660 | 1,661 | 1,661 | CONTRIBUTOR | null | Adds Doctest for DeBerta and DeBertaV2 [Pytorch version]
Issue: #16292
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https://api.github.com/repos/huggingface/transformers/issues/18609 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18609/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18609/comments | https://api.github.com/repos/huggingface/transformers/issues/18609/events | https://github.com/huggingface/transformers/issues/18609 | 1,337,653,217 | I_kwDOCUB6oc5Puvfh | 18,609 | Optuna hyperparameter does not sync trial/hyperparameters when using torchrun single-node, multi-process | {
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- `transformers` version: 4.22.0.dev0
- Platform: Linux-3.10.0-1160.76.1.el7.x86_64-x86_64-with-glibc2.17
- Python version: 3.9.12
- Huggingface_hub version: 0.9.1
- PyTorch version (GPU?): 1.12.1 (True)
- Tensorflow version (GPU?): not installed (NA)
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https://api.github.com/repos/huggingface/transformers/issues/18608 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18608/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18608/comments | https://api.github.com/repos/huggingface/transformers/issues/18608/events | https://github.com/huggingface/transformers/issues/18608 | 1,337,565,848 | I_kwDOCUB6oc5PuaKY | 18,608 | IterableDatasets result in nan loss in eval with dataloader_num_workers>=1 and multi-gpu | {
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"Thanks for flagging. The PR above should fix the issue, could you give it a quick try?"
] | 1,660 | 1,662 | 1,662 | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.22.0.dev0
- Platform: Linux-5.4.0-105-generic-x86_64-with-glibc2.31
- Python version: 3.9.13
- Huggingface_hub version: 0.8.1
- PyTorch version (GPU?): 1.12.1 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- ... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Hi @LysandreJik, could you review please? ",
"Let me ping @sgugger for review, he's more acquainted with this code and will be back from leave shortly :)"
] | 1,660 | 1,662 | 1,661 | CONTRIBUTOR | null | # What does this PR do?
Changed the class on which `register_for_auto_class` method is defined from `TFSequenceSummary` to `TFPreTrainedModel`.
It does not make sense that `register_for_auto_class` is defined on `TFSequenceSummary`. I believe this is a bug in PR #15379.
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https://api.github.com/repos/huggingface/transformers/issues/18606 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18606/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18606/comments | https://api.github.com/repos/huggingface/transformers/issues/18606/events | https://github.com/huggingface/transformers/pull/18606 | 1,337,456,999 | PR_kwDOCUB6oc49Gr9C | 18,606 | Fix Yolos ONNX export test | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,660 | 1,660 | 1,660 | COLLABORATOR | null | # What does this PR do?
YOLOS has issue on ONNX exporting on CUDA. Let's skip it, just like [this](https://github.com/ultralytics/yolov5/pull/8378).
**Question**: we can enable this if there is a way to run the export non-dynamically for this model.
current job failure
```
tests/onnx/test_onnx_v2.py::OnnxExp... | {
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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... | 1,660 | 1,667 | null | COLLABORATOR | null | # What does this PR do?
Outline for a new layer class to replace `tf.keras.layers.Layer` in our models. It extends `tf.keras.layers.Layer` to include two methods `get_layer` and `layers` from `tf.keras.Model`.
## Motivation
All of our TF models' layers are subclasses of `tf.keras.layers.Layer`. Unfortunately, ... | {
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] | 1,660 | 1,660 | 1,660 | CONTRIBUTOR | null | # What does this PR do?
This PR fixes the URL the my Donut notebooks. | {
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https://api.github.com/repos/huggingface/transformers/issues/18603 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18603/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18603/comments | https://api.github.com/repos/huggingface/transformers/issues/18603/events | https://github.com/huggingface/transformers/issues/18603 | 1,337,232,651 | I_kwDOCUB6oc5PtI0L | 18,603 | NAN values appears when including a new padding token in my tokenizer | {
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"@ydshieh, would you like to take a look at this issue?",
"Hi @tessanix, thank you for reporting. Could you provide a self-contained code snippet that could be run and reproduce the issue.\r\nSo far, `dataset` is not defined, neither `ds`. And `model` is used (`model.prepare_tf_dataset`) before it is created.\r\n... | 1,660 | 1,663 | 1,663 | NONE | null | I'm trying to fine-tune a DialoGPT model on a new dataset. I already processed my data correctly and adding a new padding token in the tokenizer didn't seem to make any issue :
```python
#my dataset :
print(dataset)
print(dataset[0]['text'])
```
> ### output ###
>
> Dataset({
> features: ['text'],... | {
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https://api.github.com/repos/huggingface/transformers/issues/18602 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18602/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18602/comments | https://api.github.com/repos/huggingface/transformers/issues/18602/events | https://github.com/huggingface/transformers/pull/18602 | 1,337,201,484 | PR_kwDOCUB6oc49F2Wt | 18,602 | Remove pos arg from Perceiver's Pre/Postprocessors | {
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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... | 1,660 | 1,664 | 1,664 | CONTRIBUTOR | null | Fix #15971
@NielsRogge | {
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https://api.github.com/repos/huggingface/transformers/issues/18601 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18601/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18601/comments | https://api.github.com/repos/huggingface/transformers/issues/18601/events | https://github.com/huggingface/transformers/pull/18601 | 1,337,143,499 | PR_kwDOCUB6oc49Fpzs | 18,601 | Update run_mlm_no_trainer.py | {
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"@muellerzr Please let me know if I have to make some changes or have I done it correctly",
"_The documentation is not available anymore as the PR was closed or merged._",
"@vedant-z Why did you close the request yourself? Was there a mistake? "
] | 1,660 | 1,672 | 1,660 | NONE | null | Fixes #18436
## 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-requests),
Pull Request secti... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thanks a lot for fixing!",
"test failure is irrelevant. Merge now."
] | 1,660 | 1,660 | 1,660 | COLLABORATOR | null | # What does this PR do?
Currently, `from transformers import TFAutoModelForSemanticSegmentation` fails. | {
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"Hello, thanks for opening an issue! We try to keep the github issues for bugs/feature requests.\r\nCould you ask your question on the [forum](https://discuss.huggingface.co) instead?\r\n\r\nThanks!",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this stil... | 1,660 | 1,663 | 1,663 | NONE | null | For instance, I would like to concatenate two different last encoder hidden states from two different text. How can I achieve it using existing generate function? | {
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] | 1,660 | 1,660 | 1,660 | CONTRIBUTOR | null | # What does this PR do?
1. Enables users to leverage Apple M1 GPUs via mps device type in PyTorch for faster training and inference than CPU. Fixes #17971
2. User has to just pass `--use_mps_device` argument.
For example, you can run the offical Glue text classififcation task (from the root folder) using Apple Si... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thanks for your PR @mathieujouffroy! Let me ping @amyeroberts for review :)",
"You're welcome. Cool thanks, should I create an Issue ? ",
"Thanks a lot for both of your reviews π ! \r\nI've corrected the issues :) \r\nAlthough, ... | 1,660 | 1,665 | 1,665 | CONTRIBUTOR | null | # What does this PR do?
This PR adds the Cvt model implementation in Tensorflow.
This includes the base model and the model with an image classification head on top.
<!-- Remove if not applicable -->
## TODO
- [x] Write the fundamental components (Convolutional Token Embeddings & Convolutional Transformer Bloc... | {
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https://api.github.com/repos/huggingface/transformers/issues/18596 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18596/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18596/comments | https://api.github.com/repos/huggingface/transformers/issues/18596/events | https://github.com/huggingface/transformers/pull/18596 | 1,336,772,475 | PR_kwDOCUB6oc49EaHs | 18,596 | FSDP bug fix for `load_state_dict` | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,660 | 1,660 | 1,660 | CONTRIBUTOR | null | # What does this PR do?
Workaround for https://github.com/pytorch/pytorch/issues/82963 | {
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https://api.github.com/repos/huggingface/transformers/issues/18595 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18595/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18595/comments | https://api.github.com/repos/huggingface/transformers/issues/18595/events | https://github.com/huggingface/transformers/pull/18595 | 1,336,715,652 | PR_kwDOCUB6oc49EN7b | 18,595 | oob performance improvement for cpu DDP | {
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"@yao-matrix @sgugger @liangan1 please help review it",
"_The documentation is not available anymore as the PR was closed or merged._",
"Hey @sywangyi, thanks for your PR! Sylvain is currently off for a few weeks, we'll merge this PR once he's back.\r\n\r\nThanks for your contribution!"
] | 1,660 | 1,666 | 1,661 | CONTRIBUTOR | null | Signed-off-by: Wang, Yi A <yi.a.wang@intel.com>
# What does this PR do?
oob performance improvement for cpu DDP, currently if no OMP_NUM_THREADS/MKL_NUM_THREADS is set, num_cpu_threads_per_process is set to 1. very slow performance.
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you c... | {
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] | 1,660 | 1,660 | 1,660 | CONTRIBUTOR | null | a few small typo fixes.
@sgugger | {
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https://api.github.com/repos/huggingface/transformers/issues/18593 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18593/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18593/comments | https://api.github.com/repos/huggingface/transformers/issues/18593/events | https://github.com/huggingface/transformers/pull/18593 | 1,336,691,041 | PR_kwDOCUB6oc49EIwc | 18,593 | [bloom] convert script tweaks | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"sorry, forgot to follow up here.\r\n\r\nIt was just a small model that I created on the fly.\r\n\r\nthat assert is not user-friendly as it just fails w/o telling which keys are unexpected. if it were to tell which keys are unexpected... | 1,660 | 1,669 | 1,669 | CONTRIBUTOR | null | @younesbelkada, could you please have a look
1. when creating a small model for testing the assert for unexpected keys breaks the conversion - I think we should either not assert or perhaps warn instead?
2. also don't try to set up dtype if it's `None`
actually for the latter if `torch_dtype` is not defined, s... | {
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] | 1,660 | 1,660 | 1,660 | CONTRIBUTOR | null | Fixes: https://github.com/huggingface/transformers/issues/17945
decoder input ids get the default index -100, which breaks the model - like t5 and many other models add a hardcoded fix to replace -100 with the correct pad index.
For some reason this use case hasn't been used with this model until recently - so t... | {
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] | 1,660 | 1,660 | 1,660 | CONTRIBUTOR | null | the manual anchors end up being duplicated with automatically added anchors and no longer work.
Examples:
https://huggingface.co/docs/transformers/v4.21.1/en/glossary#input-ids
https://huggingface.co/docs/transformers/v4.21.1/en/glossary#position-ids
I confirmed that this fix works via the auto-generated docs l... | {
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] | 1,660 | 1,662 | 1,662 | MEMBER | null | This PR updates the docs landing page to better describe what `transformers` is, what it offers, and briefly introduce users to its design. I think this gives a clearer picture of `transformers` and is more impactful than listing all the different tasks supported. Let me know what you think!
There's also a minor iss... | {
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- `transformers` version: 4.21.1
- Platform: Linux-5.15.0-43-generic-x86_64-with-glibc2.29
- Python version: 3.8.10
- Huggingface_hub version: 0.8.1
- PyTorch version (GPU?): 1.12.0+cu116 (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/18588 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18588/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18588/comments | https://api.github.com/repos/huggingface/transformers/issues/18588/events | https://github.com/huggingface/transformers/pull/18588 | 1,336,369,385 | PR_kwDOCUB6oc49DFKc | 18,588 | Adds OWLViT to models exportable with ONNX | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@unography That's strange that it does not work for object detection. It should actually work, DETR and YOLOS are exportable to ONNX for instance (see [here](https://github.com/huggingface/transformers/blob/1ccd2515ed6d7da4ec46fe94ae... | 1,660 | 1,661 | 1,661 | CONTRIBUTOR | null | Output for tests on my local machine:
```bash
(transformers) β transformers git:(owlvit_onnx) β RUN_SLOW=1 pytest tests/onnx/test_onnx_v2.py -v -k "owlvit" --full-trace
================================================================== test session starts ==========================================================... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"With `nn.AdaptiveAvgPool2d` with `output_size` > 1, we get error\r\n\r\n```bash\r\nCurrent thread 0x00007f5bb924e740 (most recent call first):\r\n File \"/home/yih_dar_huggingface_co/.local/lib/python3.9/site-packages/_pytest/_io/sa... | 1,660 | 1,661 | 1,661 | COLLABORATOR | null | # What does this PR do?
Fix an issue from #18427. In short, `Data2VecVision` is for semantic segmentation.
Current CI test failure
```bash
tests/onnx/test_onnx_v2.py::OnnxExportTestCaseV2::test_pytorch_export_048_data2vec_vision_image_segmentation
(line 412) ValueError: Unrecognized configuration class <class... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,660 | 1,665 | 1,660 | CONTRIBUTOR | null | # What does this PR do?
- Fixes the `OwlViTModelIntegrationTest` failures due to recently merged [PR](https://github.com/huggingface/transformers/pull/18573) that fixed a resizing bug in `OwlViTFeatureExtractor`
- Updates the outputs shown in OwlViT docstring examples
## Before submitting
- [ X] This PR fixes a... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,660 | 1,661 | 1,660 | CONTRIBUTOR | null | ## Context
It was reported in optimum https://github.com/huggingface/optimum/issues/305 that the mixed-precision training on DeBERTa with optimum.onnxruntime.ORTTrainer is broken.
After investigation, the break comes from mismatched inputs dtype for some Matmul nodes. In #18272, some sqrt results are cast to fp32... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thank you all!"
] | 1,660 | 1,660 | 1,660 | CONTRIBUTOR | null | # What does this PR do?
It fixes a small slow test that was not passing due a very small typo when designing the tests in https://github.com/huggingface/transformers/pull/15622
cc @ydshieh | {
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https://api.github.com/repos/huggingface/transformers/issues/18583 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18583/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18583/comments | https://api.github.com/repos/huggingface/transformers/issues/18583/events | https://github.com/huggingface/transformers/pull/18583 | 1,336,103,291 | PR_kwDOCUB6oc49CNer | 18,583 | Add checks for some workflow jobs | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,660 | 1,660 | 1,660 | COLLABORATOR | null | # What does this PR do?
We have encountered errors
```bash
stderr: nvidia-container-cli: initialization error: nvml error: driver/library version mismatch: unknown
```
(due to auto update) several times. In such cases, the reports failed to send to slack channels. We were not aware of this issue on push CI for a... | {
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https://api.github.com/repos/huggingface/transformers/issues/18582 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18582/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18582/comments | https://api.github.com/repos/huggingface/transformers/issues/18582/events | https://github.com/huggingface/transformers/issues/18582 | 1,336,056,449 | I_kwDOCUB6oc5PopqB | 18,582 | Segformer, can't save checkpoint in saved_model format | {
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"Have you tried using `model.save_pretrained()`?\r\n\r\nCc: @amyeroberts ",
"`model.save_pretrained()` indeed works, thanks :)\r\n\r\nShall we close this issue, or is this model also supposed to be compatible with keras saving method? (their callback is widely used, https://www.tensorflow.org/api_docs/python/tf/k... | 1,660 | 1,660 | 1,660 | CONTRIBUTOR | null | Thanks for this repo !
### Issue description:
1) initalise your segformer model
2) try to save it.
### Error:
```
File "/home/maxime/anaconda3/envs/tf/lib/python3.9/site-packages/transformers/models/segformer/modeling_tf_segformer.py", line 547, in serving *
output = self.call(inputs)
File ... | {
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https://api.github.com/repos/huggingface/transformers/issues/18581 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18581/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18581/comments | https://api.github.com/repos/huggingface/transformers/issues/18581/events | https://github.com/huggingface/transformers/pull/18581 | 1,336,045,659 | PR_kwDOCUB6oc49CA7T | 18,581 | Fix docstrings with last version of hf-doc-builder styler | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,660 | 1,660 | 1,660 | COLLABORATOR | null | # What does this PR do?
Everything is said in the title :-) Merging so everyone can safely use the new version of `hf-doc-builder`. | {
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https://api.github.com/repos/huggingface/transformers/issues/18580 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18580/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18580/comments | https://api.github.com/repos/huggingface/transformers/issues/18580/events | https://github.com/huggingface/transformers/pull/18580 | 1,335,968,975 | PR_kwDOCUB6oc49BwXq | 18,580 | [FX] _generate_dummy_input supports audio-classification models for labels | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,660 | 1,660 | 1,660 | MEMBER | null | For FX:
- Adds support for audio-classification models for label generation in `_generate_dummy_input`
- Adds a flag, `FX_DEBUG_MODE` to control what's being printed during tracing, this will save the user from seeing a lot of benign warnings, while still providing the possibility to have those while developing. | {
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https://api.github.com/repos/huggingface/transformers/issues/18579 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18579/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18579/comments | https://api.github.com/repos/huggingface/transformers/issues/18579/events | https://github.com/huggingface/transformers/pull/18579 | 1,335,924,615 | PR_kwDOCUB6oc49Bm0J | 18,579 | Supporting seq2seq models for `bitsandbytes` integration | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,660 | 1,660 | 1,660 | CONTRIBUTOR | null | # What does this PR do?
The previous checks to check which key to not convert in int8 was not sufficient. It appears that T5 models were not able to be converted correctly. This PR addresses this issue by adding an extra check consisting of checking whether the model has tied_weights inside the `get_key_to_not_conve... | {
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https://api.github.com/repos/huggingface/transformers/issues/18578 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18578/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18578/comments | https://api.github.com/repos/huggingface/transformers/issues/18578/events | https://github.com/huggingface/transformers/pull/18578 | 1,335,921,910 | PR_kwDOCUB6oc49BmPC | 18,578 | Return the permuted hidden states if return_dict=True | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,660 | 1,660 | 1,660 | COLLABORATOR | null | # What does this PR do?
Fixes an issue where the shape of the returned hidden states is different if `return_dict` is True or False for ConvNext.
The outputs of ConvNext are permuted in the final layer `TFConvNextMainLayer` to put them in `(batch_size, num_channels, height, width)` format, to match the pytorch m... | {
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https://api.github.com/repos/huggingface/transformers/issues/18577 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18577/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18577/comments | https://api.github.com/repos/huggingface/transformers/issues/18577/events | https://github.com/huggingface/transformers/pull/18577 | 1,335,794,348 | PR_kwDOCUB6oc49BK_X | 18,577 | Add type hints for ViLT models | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Hi @Rocketknight1, this PR is ready to review. Can you help me here, please?"
] | 1,660 | 1,660 | 1,660 | 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/18576 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18576/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18576/comments | https://api.github.com/repos/huggingface/transformers/issues/18576/events | https://github.com/huggingface/transformers/pull/18576 | 1,335,729,177 | PR_kwDOCUB6oc49A9Kw | 18,576 | update doc for perf_train_cpu_many, add intel mpi introduction | {
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"@sgugger please help review, thanks very much",
"_The documentation is not available anymore as the PR was closed or merged._",
"Failure is unrelated to this PR (would disappear with a rebase) so merging. Thanks again!"
] | 1,660 | 1,666 | 1,660 | CONTRIBUTOR | null | Signed-off-by: Wang, Yi A <yi.a.wang@intel.com>
# What does this PR do?
update doc for perf_train_cpu_many, add intel mpi introduction
Fixes # (issue)
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [ ] Did you read the [contr... | {
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