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https://api.github.com/repos/huggingface/transformers/issues/20384 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20384/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20384/comments | https://api.github.com/repos/huggingface/transformers/issues/20384/events | https://github.com/huggingface/transformers/pull/20384 | 1,459,854,636 | PR_kwDOCUB6oc5DdZd6 | 20,384 | More TF int dtype fixes | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Update: This PR now updates all serving signatures and dummy inputs to `tf.int64`. All tests like `test_saved_model_creation_extended` now pass.\r\n\r\nHowever, I couldn't find any way to cleanly save both a `tf.int32` and a `tf.int6... | 1,669 | 1,669 | 1,669 | MEMBER | null | This PR fixes (hopefully) the last remaining TF int dtype issues.
- [x] Ensure all integer dummy inputs are int32 and add test
- [x] Ensure all serving signatures support all-int32
- [x] Check that this fixes `test_saved_model_creation_extended`
- [x] Add a second serving signature when saving with `save_pretrain... | {
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https://api.github.com/repos/huggingface/transformers/issues/20383 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20383/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20383/comments | https://api.github.com/repos/huggingface/transformers/issues/20383/events | https://github.com/huggingface/transformers/issues/20383 | 1,459,843,403 | I_kwDOCUB6oc5XA3FL | 20,383 | [ViT] `'str' object cannot be interpreted as an integer` | {
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"cc @amyeroberts ",
"False alarm! \r\nthe snippet works when using `google/vit-base-patch16-224`\r\n```\r\nimport requests\r\nfrom PIL import Image\r\nfrom transformers import AutoProcessor\r\n\r\nmodel_id = \"google/vit-base-patch16-224\"\r\n\r\nurl = \"http://images.cocodataset.org/val2017/000000039769.jpg\"\r\... | 1,669 | 1,672 | 1,672 | CONTRIBUTOR | null | ### System Info
using `transformers==4.24.0`, the snippet:
```
import requests
from PIL import Image
from transformers import AutoProcessor
url = "http://images.cocodataset.org/val2017/000000039769.jpg"
image = Image.open(requests.get(url, stream=True).raw)
# Use the same feature extractor for everyone
... | {
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https://api.github.com/repos/huggingface/transformers/issues/20382 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20382/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20382/comments | https://api.github.com/repos/huggingface/transformers/issues/20382/events | https://github.com/huggingface/transformers/issues/20382 | 1,459,775,679 | I_kwDOCUB6oc5XAmi_ | 20,382 | Finetunig of wav2vec2-xls-r-300m outputs invalid words for Bengali data | {
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"Hey @manjuke! Cool to see you're using XLS-R for fine-tuning on Bengali. The \"issues\" page on Transformers is reserved for issues related to the Transformers modelling code. For questions related to fine-tuning experiments, the forum is the best place to ask: https://discuss.huggingface.co\r\n\r\nCould you copy ... | 1,669 | 1,672 | 1,672 | NONE | null | ### System Info
I have used wav2vec2 pretrained model of wav2vec2-xls-r-300m, and finetuned it to 1000hrs Bengali dataset. Training took 4 full days with 20 epochs. But, there is issue in decoding. It is decoding in some arbitrary fashion, basically outputs random combination of Bengali letters (which does not have... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_20381). All of your documentation changes will be reflected on that endpoint."
] | 1,669 | 1,669 | 1,669 | CONTRIBUTOR | null | # What does this PR do?
This PR reverts a change that has been made on `M2M100Model` , to reproduce you can run:
```
import torch
from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
src_lang = "eng_Latn"
tgt_lang = "spa_Latn"
model_id = "facebook/nllb-200-3.3B"
tokenizer = AutoTokenizer.from_... | {
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https://api.github.com/repos/huggingface/transformers/issues/20380 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20380/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20380/comments | https://api.github.com/repos/huggingface/transformers/issues/20380/events | https://github.com/huggingface/transformers/pull/20380 | 1,459,605,199 | PR_kwDOCUB6oc5DciDc | 20,380 | [ResNet] Improve backbone | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,669 | 1,669 | 1,669 | CONTRIBUTOR | null | # What does this PR do?
This PR improves the ResNetBackbone, by not assuming stages are always 4, and improving tests. | {
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https://api.github.com/repos/huggingface/transformers/issues/20379 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20379/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20379/comments | https://api.github.com/repos/huggingface/transformers/issues/20379/events | https://github.com/huggingface/transformers/pull/20379 | 1,459,591,830 | PR_kwDOCUB6oc5DcfF_ | 20,379 | Add `accelerate` support for `ESM` | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,669 | 1,669 | 1,669 | CONTRIBUTOR | null | # What does this PR do?
This PR adds `accelerate` support for `ESM` models, so that the largest `ESM` models (15B params) can be loaded in 8-bit, therefore easing accessibility for large protein models. This also introduces the first protein model that can be loaded in 8bit.
```
# pip install accelerate bitsandbyt... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,669 | 1,669 | 1,669 | CONTRIBUTOR | null | Bumps [pillow](https://github.com/python-pillow/Pillow) from 9.0.1 to 9.3.0.
<details>
<summary>Release notes</summary>
<p><em>Sourced from <a href="https://github.com/python-pillow/Pillow/releases">pillow's releases</a>.</em></p>
<blockquote>
<h2>9.3.0</h2>
<p><a href="https://pillow.readthedocs.io/en/stable/releaseno... | {
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"Thanks for flagging, I had kind of the same problem recently when implementing #20043. I used\r\n```\r\nmodel.get_input_embeddings().weight.shape[0]\r\n```\r\nto get the embedding size, not sure if there is anything easier but having a method that does this would certainly be more helpful if you want to contribute... | 1,669 | 1,672 | 1,672 | NONE | null | ### Feature request
Please add an intuitive and obvious method to get the size of the current token embeddings on `PreTrainedModel`.
For example, a method called `get_token_embeddings_size()` that can be used as a complement to `resize_token_embeddings()`.
### Motivation
Current API design around the `resiz... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,669 | 1,669 | 1,669 | CONTRIBUTOR | null | # What does this PR do?
A tentative to support `T5` for `text-generation` pipeline. I don't really expect this PR to get merged as it is very hacky and IMO not a good idea to support `T5` for `text-generation` but I would love to have some insights on what we can potentially do to support `text-generation` pipeline ... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thanks for your PR. As you can see, it shows a diff of 191 files. Could you open a fresh PR with just your proposed changes?",
"Yes, I will do that. Thanks for the feedback! ",
"I will make a new PR after improving the validity c... | 1,669 | 1,669 | 1,669 | CONTRIBUTOR | null | Co-author: @Batese2001
Test file: src/transformers/models/distilbert/modeling_distilbert.py
Local testing: 
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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... | 1,669 | 1,673 | 1,673 | NONE | null | ### System Info
datasets==1.15.1
transformers==4.12.5
seqeval==1.2.2
deepspeed==0.5.7
tensorboard==2.7.0
seqeval==1.2.2
sentencepiece
timm==0.4.12
Pillow
einops
textdistance
shapely
### Who can help?
@NielsRogge
### Information
- [ ] The official example scripts
- [ ] My own modified scripts
### Task... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@SaulLu @sgugger Done",
"As pointed above, you're still missing the stronger test to detect the sentinel tokens.",
"Thanks a lot for working on this. Maybe I'm just nitpicking, but wouldn't it be great if the returned sentinel ... | 1,669 | 1,671 | 1,669 | CONTRIBUTOR | null | # What does this PR do?
fixes the issue #19298
@SaulLu | {
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"> NotImplementedError: The Better Transformers implementation for the model DebertaV2Model has not beenimplemented yet. Please open an issue requesting the addition of this model with its `BetterTransformer`implementation.\r\n\r\nIt's not on your list, but would you complain if I did this for DebertaV2Model?",
"... | 1,669 | 1,706 | 1,696 | CONTRIBUTOR | null | ## `BetterTransformer` integration for more models!
`BetterTransformer` API provides faster inference on CPU & GPU through a simple interface!
Models can benefit from very interesting speedups using a one liner and by making sure to install the latest version of PyTorch. A complete guideline on how to convert a ... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"I made a different PR with the same request here: https://github.com/huggingface/transformers/pull/20375\r\n"
] | 1,669 | 1,669 | 1,669 | CONTRIBUTOR | null | Co-author: Batese @batese2001
Local test file: 
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"Hey there! Thanks a lot for creating and sharing the group :fire: \r\nFYI, there is also a community Discord server with over 16000 members. You can join in [hf.co/join/discord](http://hf.co/join/discord) :hugs: ",
"This issue has been automatically marked as stale because it has not had recent activity. If you ... | 1,669 | 1,672 | 1,672 | NONE | null | Hello everyone you can join our group to discuss new state-of-the-art methods in deep learning, machine learning, and natural language processing through the below :
[link](https://fb.me/g/p_Qe5xCLF7zxgu4sYn/NRWMjdeM)
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_20369). 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... | 1,669 | 1,672 | 1,672 | 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 documentation is not available anymore as the PR was closed or merged._",
"Regarding modeling, it somehow breaks our philosophy `one model - one file philosophy`. We usually copy the modeling code and add `# copied from`. cc @sgugger \r\n\r\n",
"> Regarding modeling, it somehow breaks our philosophy `one ... | 1,669 | 1,669 | 1,669 | CONTRIBUTOR | null | # What does this PR do?
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"Might be of interest to @sanchit-gandhi ",
"Hey @jp1924 \r\n\r\nI think there's some confusion between `vocab_file`, `vocab_files_names` and `VOCAB_FILES_NAMES`:\r\n* `vocab_file`: an **argument** that denotes the path to the file containing the tokeniser's vocabulary\r\n* `vocab_files_names`: an **attribute** o... | 1,669 | 1,669 | 1,669 | NONE | null | ### System Info
python: 3.8
transformers: 4.23.1
### Who can help?
@patrickvonplaten
### Information
- [ ] The official example scripts
- [x] My own modified scripts
### Tasks
- [x] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or dataset (give... | {
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"The evaluation loop in the `Trainer` does not support un-padded outputs indeed, as it doesn't occur with any model of the library in our examples. Fixing it would be quite involved so I'd recommend using the `Accelerate` library which provides a method to pad across processes to evaluate such models."
] | 1,669 | 1,669 | 1,669 | NONE | null | ### System Info
system info
OS: Ubuntu 18.04.6 LTS
GPUS: RTX 3090 * 2
CUDA: 11.1
python: 3.8
transformers: 4.23.1
pytorch: 1.10.1+cu111
NCCL: 2.10.3+cuda11.1
### Who can help?
@sgugger
@patrickvonplaten
### Information
- [ ] The official example scripts
- [X] My own modified scripts
### Tas... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thanks, but the issue was intended for library code, not examples. Let's see if @sanchit-gandhi doesn't mind!",
"Thank you for your suggestions @sanchit-gandhi! @sgugger ahh I should have known that. I'll update the library code ne... | 1,669 | 1,669 | 1,669 | CONTRIBUTOR | null | # What does this PR do?
Replaces 4 `assert` with `ValueError` exeception in run_image_captioning_flax.py.
Co-author: @AdiaWu
Related to [#12789](https://github.com/huggingface/transformers/issues/12789).
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if... | {
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"cc @ohmeow who wrote the notebook.",
"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/t... | 1,669 | 1,672 | 1,672 | NONE | null | Hi, it seems that the link to ```A notebook on how to [finetune BART for summarization with fastai using blurr](https://colab.research.google.com/github/ohmeow/ohmeow_website/blob/master/_notebooks/2020-05-23-text-generation-with-blurr.ipynb).``` is broken.
@patrickvonplaten | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"OK, I won't notify you again about this release, but will get in touch when a new version is available. If you'd rather skip all updates until the next major or minor version, let me know by commenting `@dependabot ignore this major ... | 1,669 | 1,669 | 1,669 | CONTRIBUTOR | null | Bumps [tensorflow](https://github.com/tensorflow/tensorflow) from 2.8.1 to 2.9.3.
<details>
<summary>Release notes</summary>
<p><em>Sourced from <a href="https://github.com/tensorflow/tensorflow/releases">tensorflow's releases</a>.</em></p>
<blockquote>
<h2>TensorFlow 2.9.3</h2>
<h1>Release 2.9.3</h1>
<p>This release i... | {
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"The PR was closed by bot. Please reopen the PR and let me know if anything needs to be done to merge the PR. The PR would add the FlexiBERT suite of models to 🤗 Transformers."
] | 1,669 | 1,672 | null | CONTRIBUTOR | null | ### Model description
FlexiBERT is a suite of *flexible* and *heterogeneous* models. The design space was proposed in this [paper](https://arxiv.org/abs/2205.11656) accepted for publication in the Journal of Artificial Intelligence Research.
### Open source status
- [X] The model implementation is available
- [X] Th... | {
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"If you can create your tokenizer and model, just send them to the pipeline function as a quick workaround :-)",
"@sgugger This actually leads to another error:\r\n\r\n```\r\nfrom transformers import AutoModelForCausalLM, AutoTokenizer\r\nmodel = \"facebook/opt-30b\"\r\nmodel_kwargs = {\"device_map\": \"auto\", \... | 1,669 | 1,669 | 1,669 | NONE | null | ### System Info
- `transformers` version: 4.24.0
- Platform: Linux-5.4.0-109-generic-x86_64-with-glibc2.10
- Python version: 3.8.13
- Huggingface_hub version: 0.11.0
- PyTorch version (GPU?): 1.13.0a0+d0d6b1f (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (N... | {
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https://api.github.com/repos/huggingface/transformers/issues/20360 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20360/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20360/comments | https://api.github.com/repos/huggingface/transformers/issues/20360/events | https://github.com/huggingface/transformers/pull/20360 | 1,458,537,757 | PR_kwDOCUB6oc5DY0Pq | 20,360 | Fix toctree for Section 3 in Spanish Documentation | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,669 | 1,669 | 1,669 | CONTRIBUTOR | null | # What does this PR do?
Fixes #20359
## 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) P... | {
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"Hi @sgugger. Maybe you can help me to verify this issue I just opened. I attached a PR to fix it (you might also be the right person to review and approve it). Thanks!"
] | 1,669 | 1,669 | 1,669 | CONTRIBUTOR | null | **Expected output**: Nested sections with proper documents in Spanish translation.
**Current output**: Some sections are missing (but docs are present), so documents are not correctly organized
-----
After contributing to #15947, I noticed `_toctree.yml` for the Spanish translation is not following the proper or... | {
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"@NielsRogge ",
"Hi,\r\n\r\nI don't think that makes sense as for the Vision encoder-decoder framework, one needs a Transformer-based encoder or at least an encoder that outputs a sequence of hidden states, which can be used for cross-attention with the Transformer-based language decoder. Given that most backbone... | 1,669 | 1,669 | 1,669 | NONE | null | ### Feature request
Hello,
I would like to use timm models as vision encoders in vision encoder-decoder model who can I do so?
### Motivation
Timm models are very powerful and allow a lot of image processing which would allow us to make better document AI models
### Your contribution
I would be down to help out ... | {
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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... | 1,669 | 1,681 | 1,675 | NONE | null | ### System Info
- `transformers` version: 4.25.0.dev0
- Platform: Linux-5.15.0-1023-aws-x86_64-with-glibc2.35
- Python version: 3.9.12
- Huggingface_hub version: 0.10.1
- PyTorch version (GPU?): 1.13.0+cu117 (True)
- Tensorflow version (GPU?): 2.10.0 (True)
- Flax version (CPU?/GPU?/TPU?): 0.6.1 (gpu)
- Jax v... | {
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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... | 1,669 | 1,672 | 1,672 | CONTRIBUTOR | null | # What does this PR do?
Implements the FlexiBERT suite of 3.32 billion transformer architectures (and also FlexiBERT 2.0 design space with 1.7 $\times$ 10<sup>88</sup> architectures). The design space supports *flexible* and *heterogeneous* transformer models with diverse attention types. The [paper](https://arxiv.o... | {
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https://api.github.com/repos/huggingface/transformers/issues/20355 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20355/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20355/comments | https://api.github.com/repos/huggingface/transformers/issues/20355/events | https://github.com/huggingface/transformers/pull/20355 | 1,458,361,639 | PR_kwDOCUB6oc5DYN7F | 20,355 | Add missing tokenizer tests - RemBert | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@IMvision12 It looks like the added tests do not pass. You can try locally with\r\n```\r\npytest tests/models/rembert/test_tokenization_rembert.py\r\n```",
"While using sentencepiece.model :\r\n\r\n`SAMPLE_VOCAB = get_tests_dir(\"f... | 1,669 | 1,669 | 1,669 | CONTRIBUTOR | null | # What does this PR do?
Fixes : #16627
Added tokenizer tests for Rembert. I took reference from test_tokenization_camembert.py
@SaulLu @LysandreJik | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"And as always, if a one-line short comment in the code could keep your explanation more visible for other (HF) developers, don't hesitate."
] | 1,669 | 1,669 | 1,669 | MEMBER | null | # What does this PR do?
Makes XLA contrastive search tests shorter (in terms of tokens), to avoid flaky tests.
This is due to our recently failing CI for some models. The XLA code path passes the test with XLA compilation off -- i.e. the XLA code path returns the same as the non-XLA code path. However, with XLA c... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@sgugger added a minor test.\r\n\r\nI'd rather spend the energy removing the `**kwargs` and `**model_kwargs`, which are only used as a lazy pattern (as opposed to being forwarded to the model or similar). It would allow for much stri... | 1,669 | 1,669 | 1,669 | MEMBER | null | # What does this PR do?
Fixes #20347
`model_kwargs` can also be a model input in `prepare_inputs_for_generation` -- in some models it is `kwargs`, in others `model_kwargs`.
This PR updates the input validation function to reflect that. | {
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] | 1,669 | 1,669 | 1,669 | COLLABORATOR | null | # What does this PR do?
The pipeline that runs the nightly tests exits with `Unexpected argument(s): nightly` instead of running all tests. I think we just need to add it in the custom config as an argument (unused) so circleCI doesn't complain anymore.
Manually triggered the tests on this branch with `nightly` a... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_20351). All of your documentation changes will be reflected on that endpoint.",
"I am hitting an issue and thought of asking for help.\r\n\r\nThe issue stems from the port of `VideoMAESelfAttention` i.e., `TFVideoMAESelfAtt... | 1,669 | 1,705 | 1,705 | MEMBER | null | Closes #18641
## TODO
- [x] modeling_tf_videomae.py
- [x] integration tests
- [x] rest of the tests
- [x] documentation | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thanks for adding this! Can you first rebase your branch on main? TensorFlow new release broke a lot of things so tests won't pass unless you do this :-)",
"Looks like something went wrong and GitHub adds a lot of diff. If force-pu... | 1,669 | 1,669 | 1,669 | CONTRIBUTOR | null | # What does this PR do?
Added tokenizer tests for Rembert. I took reference from `test_tokenization_camembert.py`
@SaulLu @LysandreJik | {
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] | 1,669 | 1,675 | 1,669 | COLLABORATOR | null | [Don't merge] debug nightly CI | {
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"Hey @BirgerMoell - thanks for opening this feature request and for your interest in the Whisper model 🗣🇸🇪 I've made the code in your original post a drop-down for ease of reading.\r\n\r\nThe examples script [run_speech_recognition_seq2seq.py](https://github.com/huggingface/transformers/blob/main/examples/pytorc... | 1,669 | 1,676 | 1,669 | NONE | null | ### Feature request
I've been trying to fine-tune whisper large on a GPU with 24gb of ram (both single GPU and multi GPU) and I run out of memory while training (with batch size set to 1 and max-length of audio set to 2.5 seconds).
I made this a feature request not a bug report since I don't believe there is a pr... | {
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https://api.github.com/repos/huggingface/transformers/issues/20347 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20347/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20347/comments | https://api.github.com/repos/huggingface/transformers/issues/20347/events | https://github.com/huggingface/transformers/issues/20347 | 1,457,735,683 | I_kwDOCUB6oc5W40gD | 20,347 | past_key_values not accepted in generate with GPTNeoX | {
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"cc @gante ",
"Hey @ValeKnappich 👋 \r\n\r\nYeah, `model_kwargs` needs to be added to `_validate_model_kwargs`. I'm on it :)",
"Great, thanks :)",
"@gante @sgugger \r\n\r\nThe kwarg validation was only a superficial issue. In fact, now it does not throw an error anymore, however, the `past_key_values` are sti... | 1,669 | 1,673 | 1,673 | CONTRIBUTOR | null | ### System Info
Python 3.7.13
transformers 4.22.2
### Who can help?
@LysandreJik @patrickvonplaten
### Information
- [X] The official example scripts
- [X] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [X] My own task or dataset (give d... | {
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https://api.github.com/repos/huggingface/transformers/issues/20346 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20346/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20346/comments | https://api.github.com/repos/huggingface/transformers/issues/20346/events | https://github.com/huggingface/transformers/pull/20346 | 1,457,724,377 | PR_kwDOCUB6oc5DWEOA | 20,346 | [Switch Transformers] Fix failing slow test | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thanks very much for the explanation! This should have been fixed now 💪 "
] | 1,669 | 1,669 | 1,669 | CONTRIBUTOR | null | # What does this PR do?
This PR should fix the currently failing slow test for `SwitchTransformers`.
Putting the model on GPU and running the inference on GPU should fix the test. I have tested the test on PyTorch 1.12 (same as the daily CI runner), but I need to test it on the daily CI runner first before merging
... | {
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"There is little we can do without knowing which specific code in Transformers you are running. Loading a model with Transformers in general does not use Python multiprocessing for instance, so it's a bit hard for us to know what you want us to fix without a clear reproducer (using Transformers only and not a third... | 1,669 | 1,672 | 1,672 | NONE | null | ### System Info
Apologies if this is the wrong place to post but we're looking for pointers on tracking down what appears to be a transformers-related error.
We have trained a Spacy 3.3.1 transformer textcat which we're deploying as an AWS Python 3.9 Docker image to AWS Lambda. The model loads and infers correctly ... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,669 | 1,669 | 1,669 | CONTRIBUTOR | null | # What does this PR do?
This is part 2 of 3 of the big #20204 PR.
This PR adds MaskFormerSwin to the AutoBackbone API. This ensures that the model can be used as backbone with the MaskFormer framework.
As it makes more sense to move MaskFormerSwin to its own modeling files, this PR implements it in a separate ... | {
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"Data collators inside Transformers exist for the Trainer, which in turn send all inputs to the model directly. The model won't be able to accept the raw strings, so the use case is not obvious.\r\n\r\nTransformers is a library of models at its core, so while we provide some functionality to train/fine-tune them ea... | 1,669 | 1,685 | 1,672 | NONE | null | ### Feature request
A default data_collator that allows strings to pass through and untouch the strings.
### Motivation
When I use `remove_unused_columns=True`, I can't get the raw input sequences in string format in my batch.
When I use `remove_unused_columns=False`, I can't use the default data collator, b... | {
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"Hey @sanprit,\r\n\r\nWhat exactly is `2_run_clm.py`? Was this a typo and supposed to be `run_clm.py`? Also we would need to be able to re-run this command to reproduce the error => how can we access `train_file.txt`?",
"2_run_clm.py is run_clm.py only with some logging comments added in it. Regarding train_file ... | 1,669 | 1,673 | 1,673 | NONE | null | ### System Info
Transformers version: v4.24.0
Python version: 3.9.13
system: EC2 with g5.12xlarge, Ubuntu, Pytorch (1.12.1)
Data size : ~250GB
### Who can help?
@patil-suraj, @patrickvonplaten, @LysandreJik
### Information
- [ ] The official example scripts
- [X] My own modified scripts
### T... | {
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"cc @KMFODA for inputs on tests & more :crossed_fingers: ",
"_The documentation is not available anymore as the PR was closed or merged._",
"Thanks for the feedback & good catch on the Colab! I've updated the notebook - will run and resolve the slow tests/accelerate items later today/tomorrow and revert back 👌... | 1,668 | 1,670 | 1,670 | CONTRIBUTOR | null | Signed-off-by: peter szemraj <peterszemraj@gmail.com>
# What does this PR do?
This PR adds `accelerate` support for the longT5 models (i.e., make it possible to use `device_map="auto"`), so these models can be loaded in 8bit using load_in_8bit=True.
This helps enable inference with trained/fine-tuned SoTA long... | {
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https://api.github.com/repos/huggingface/transformers/issues/20340 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20340/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20340/comments | https://api.github.com/repos/huggingface/transformers/issues/20340/events | https://github.com/huggingface/transformers/pull/20340 | 1,457,119,611 | PR_kwDOCUB6oc5DUAzg | 20,340 | [FLAX] Add dtype to embedding for bert/bart/opt/t5 | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"cc @sanchit-gandhi @younesbelkada @ArthurZucker here",
"Can we merge this @ArthurZucker ? How to check whether the slow tests pass?",
"Thanks @merrymercy !\r\nYou can run slow tests for `t5` for example by running: `RUN_SLOW=1 py... | 1,668 | 1,669 | 1,669 | CONTRIBUTOR | null | ## What does this PR do?
This PR is the follow-up of #18462. It adds dtype to `nn.Embed` for more common Flax models, including bert, bart, opt, t5, and their copies.
This dtype is necessary for mixed precision training.
## Who can review?
@patrickvonplaten, @LysandreJik, @sanchit-gandhi | {
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https://api.github.com/repos/huggingface/transformers/issues/20339 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20339/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20339/comments | https://api.github.com/repos/huggingface/transformers/issues/20339/events | https://github.com/huggingface/transformers/pull/20339 | 1,457,053,936 | PR_kwDOCUB6oc5DTzey | 20,339 | Add Spanish translation of pr_checks.mdx | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Hi @osanseviero. Can you help review this PR, please? ",
"Only minor typos were spotted during the first review. I already addressed them with my latest commit. \r\n@sgugger, if you agree, we can skip a second review from [osansevi... | 1,668 | 1,669 | 1,669 | CONTRIBUTOR | null | # What does this PR do?
Add the Spanish translation for `pr_checks.mdx` as part of the #15947 issue.
Changes include the Spanish version of the original document and the updated `_toctree.yml` file.
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that'... | {
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https://api.github.com/repos/huggingface/transformers/issues/20338 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20338/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20338/comments | https://api.github.com/repos/huggingface/transformers/issues/20338/events | https://github.com/huggingface/transformers/issues/20338 | 1,457,036,937 | I_kwDOCUB6oc5W2J6J | 20,338 | TrOCR Encoder &Decoder Replacement | {
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"@sgugger #Bert #Good_new_ssue",
"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/tra... | 1,668 | 1,674 | 1,674 | NONE | null | Hi @NielsRogge thanks for the great tutorial For TrOCR
1- can I get the whole datasets for IAM as the format (processed) used during fine-tuning because I only can see the test set ?
2- I want to replace the Encoder with **Vit or Swin or Diet** and the Decoder with **Bert** or **GPT-2** or another beast decoder In t... | {
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https://api.github.com/repos/huggingface/transformers/issues/20336 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20336/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20336/comments | https://api.github.com/repos/huggingface/transformers/issues/20336/events | https://github.com/huggingface/transformers/pull/20336 | 1,456,818,473 | PR_kwDOCUB6oc5DTFcy | 20,336 | Fix issue 19904 | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@sgugger Please tag the right persons for reviewing this PR . "
] | 1,668 | 1,669 | 1,669 | CONTRIBUTOR | null | Fixes issue #19904
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https://api.github.com/repos/huggingface/transformers/issues/20335 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20335/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20335/comments | https://api.github.com/repos/huggingface/transformers/issues/20335/events | https://github.com/huggingface/transformers/issues/20335 | 1,456,730,518 | I_kwDOCUB6oc5W0_GW | 20,335 | Add MobileNetV1 | {
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"There's an open PR for it that is (almost) ready to merge. I just need to rebase it because it conflicts with MobileNetV2 that was recently added. I'll probably get around to this later this week.\r\n\r\nSee the PR: https://github.com/huggingface/transformers/pull/17799",
"Oh, thanks. Closing this issue.",
"Ju... | 1,668 | 1,669 | 1,669 | CONTRIBUTOR | null | ### Model description
MobileNets are small, low-latency, low-power models parameterized to meet the resource constraints of a variety of use cases. They can be built upon for classification, detection, embeddings and segmentation similar to how other popular large scale models, such as Inception, are used. MobileNets ... | {
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"Which new model are you talking about? Please fill the template properly otherwise no one will be able to help."
] | 1,668 | 1,669 | null | NONE | null | ### Model description
This model will generate a content score for a summary given the context and the summary itself.
### Open source status
- [X] The model implementation is available
- [X] The model weights are available
### Provide useful links for the implementation
_No response_ | {
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https://api.github.com/repos/huggingface/transformers/issues/20333 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20333/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20333/comments | https://api.github.com/repos/huggingface/transformers/issues/20333/events | https://github.com/huggingface/transformers/pull/20333 | 1,456,501,962 | PR_kwDOCUB6oc5DSFEj | 20,333 | Use tiny ONNX models for text modality | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@lewtun Thank you for working on this 💯 \r\n\r\nI force pushed a commit to resolve a conflict on `main`.\r\n\r\nThank you for sharing the models that are not working. Keep in mind that there are some difficulty in the tiny model cr... | 1,668 | 1,669 | 1,669 | MEMBER | null | # What does this PR do?
Partially addresses https://github.com/huggingface/transformers/issues/18819
This PR uses the new tiny random models from @ydshieh to speed up the ONNX tests for the **text** modality. This brings the slow ONNX tests down to about 1.5h. The other modalities will be added once we have tiny ... | {
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https://api.github.com/repos/huggingface/transformers/issues/20332 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20332/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20332/comments | https://api.github.com/repos/huggingface/transformers/issues/20332/events | https://github.com/huggingface/transformers/issues/20332 | 1,456,467,549 | I_kwDOCUB6oc5Wz-5d | 20,332 | OPTForCausalLM - ValueError: The following `model_kwargs` are not used by the model: ['new_doc'] | {
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"@FurkanGozukara I do not see the new_doc parameter accepted neither in code nor in example scripts ? Can you point me to where you got example scripts with new_doc parameter ? ",
"> @FurkanGozukara I do not see the new_doc parameter accepted neither in code nor in example scripts ? Can you point me to where you ... | 1,668 | 1,672 | 1,672 | NONE | null | ### System Info
Hello. I am using this model : https://huggingface.co/facebook/galactica-6.7b
The example is like this pretty straight
```
from transformers import AutoTokenizer, OPTForCausalLM
tokenizer = AutoTokenizer.from_pretrained("facebook/galactica-6.7b")
model = OPTForCausalLM.from_pretrained("faceb... | {
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https://api.github.com/repos/huggingface/transformers/issues/20331 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20331/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20331/comments | https://api.github.com/repos/huggingface/transformers/issues/20331/events | https://github.com/huggingface/transformers/pull/20331 | 1,456,437,317 | PR_kwDOCUB6oc5DR2-A | 20,331 | Fix a typo in BLOOM model docs | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,668 | 1,669 | 1,669 | 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/20330 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20330/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20330/comments | https://api.github.com/repos/huggingface/transformers/issues/20330/events | https://github.com/huggingface/transformers/issues/20330 | 1,456,383,028 | I_kwDOCUB6oc5WzqQ0 | 20,330 | Models cannot be loaded if they have dot "." in name | {
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"Hi, @j-adamczyk. The problem here is that `transformers` version that includes `MobileNetV2` model has not yet been released to [PyPi](https://pypi.org/project/transformers/#history) etc., hence there's no `'mobilenet_v2'` key. \r\nThough you can install the `transformers` from source, and start using `MobileNetV2... | 1,668 | 1,671 | 1,671 | NONE | null | ### System Info
- `transformers` version: 4.24.0
- Platform: Linux-5.14.0-1054-oem-x86_64-with-glibc2.31
- Python version: 3.9.15
- Huggingface_hub version: 0.10.1
- PyTorch version (GPU?): 1.13.0+cpu (False)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- J... | {
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https://api.github.com/repos/huggingface/transformers/issues/20329 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20329/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20329/comments | https://api.github.com/repos/huggingface/transformers/issues/20329/events | https://github.com/huggingface/transformers/issues/20329 | 1,456,321,585 | I_kwDOCUB6oc5WzbQx | 20,329 | cannot import electratokenizer or model. It works on colabnotebook but not in python | {
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"Transformers is not currently compatible with TensorFlow 2.11 (which broke a lot of things compared to the previous versions). It should be fixed on main so you can either do:\r\n- an install of Transformers from source\r\n- or downgrade your TensorFlow to 2.10",
"Hi There! I figured as much so is downgraded to ... | 1,668 | 1,672 | 1,672 | NONE | null | ### System Info
i have tensorflow version 2.11.0 and transformer version 4.24.0
and i cannot import TFElectraModel. It works for me in google colab but not in my pc.
from transformers import TFElectraModel
gives me the following error
RuntimeError: Failed to import transformers.models.electra.modeling_tf_el... | {
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https://api.github.com/repos/huggingface/transformers/issues/20328 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20328/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20328/comments | https://api.github.com/repos/huggingface/transformers/issues/20328/events | https://github.com/huggingface/transformers/issues/20328 | 1,456,164,047 | I_kwDOCUB6oc5Wy0zP | 20,328 | MAE Noise Was NOT Removed In Prediction For TFViTMAEModel / ViTMAEModel | {
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"Hi,\r\n\r\nViTMAE generates a random mask internally to mask out patches. Hence forwarding the same inputs twice through the model will result in different hidden states. If you want to ensure reproducability, you can pass the `noise` argument. See [here](https://github.com/huggingface/transformers/blob/8503cc7550... | 1,668 | 1,669 | 1,669 | NONE | null | ### System Info
transformers version: v4.24.0 (latest)
### Who can help?
@NielsRogge
### Information
- [X] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or dataset (gi... | {
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https://api.github.com/repos/huggingface/transformers/issues/20327 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20327/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20327/comments | https://api.github.com/repos/huggingface/transformers/issues/20327/events | https://github.com/huggingface/transformers/issues/20327 | 1,455,956,647 | I_kwDOCUB6oc5WyCKn | 20,327 | Mismatch in torch size | {
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"As the error message told you, load your model with `ignore_mismatched_sizes=True`.",
"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 [contribu... | 1,668 | 1,672 | 1,672 | NONE | null | I am trying to fine-tune an NER model using "malduwais/distilbert-base-uncased-finetuned-ner" model, in the dataset I am finetuning on there are only 5 features as opposed to 9 in the one this model was trained on. I get this error when calling trainer.train()
```
RuntimeError: Error(s) in loading state_dict for Di... | {
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https://api.github.com/repos/huggingface/transformers/issues/20326 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20326/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20326/comments | https://api.github.com/repos/huggingface/transformers/issues/20326/events | https://github.com/huggingface/transformers/pull/20326 | 1,455,908,079 | PR_kwDOCUB6oc5DQFSM | 20,326 | [WIP] Update: ignore padding support for TransfoXL training when n_clusters==0 | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_20326). All of your documentation changes will be reflected on that endpoint.",
"Thank you for your comments! \r\n\r\n> Thanks a lot for working on this! Can you make sure to run `make style` on your branch? You will also n... | 1,668 | 1,680 | 1,672 | CONTRIBUTOR | null | # What does this PR do?
This PR solves [an issue](https://github.com/huggingface/transformers/issues/17446) I raised about TransformerXL. As @sgugger mentioned in [another issue](https://github.com/huggingface/transformers/issues/19914) I raised, he [says](https://github.com/huggingface/transformers/issues/19914#iss... | {
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https://api.github.com/repos/huggingface/transformers/issues/20325 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20325/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20325/comments | https://api.github.com/repos/huggingface/transformers/issues/20325/events | https://github.com/huggingface/transformers/pull/20325 | 1,455,878,983 | PR_kwDOCUB6oc5DP-u4 | 20,325 | Add LayerScale to NAT/DiNAT | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,668 | 1,679 | 1,669 | CONTRIBUTOR | null |
# What does this PR do?
This follows PR #20219 .
I completely dropped the ball on LayerScale in the original PR.
This is just an optional argument in both models, and is only activated for larger variants in order to provide training stability.
## Before submitting
- [ ] This PR fixes a typo or improv... | {
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https://api.github.com/repos/huggingface/transformers/issues/20324 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20324/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20324/comments | https://api.github.com/repos/huggingface/transformers/issues/20324/events | https://github.com/huggingface/transformers/pull/20324 | 1,455,830,334 | PR_kwDOCUB6oc5DPz6Q | 20,324 | Added Luke Doctests | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@ydshieh maybe :-) ",
"The checkpoints in hf-internal-testing are only there for our tests, they shouldn't be used. Please use real checkpoints in the doc examples.",
"@Tegzes You can search on the Hub to find if there are luke ... | 1,668 | 1,669 | 1,669 | CONTRIBUTOR | null | # What does this PR do?
<!--
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Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
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https://api.github.com/repos/huggingface/transformers/issues/20323 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20323/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20323/comments | https://api.github.com/repos/huggingface/transformers/issues/20323/events | https://github.com/huggingface/transformers/pull/20323 | 1,455,814,762 | PR_kwDOCUB6oc5DPwan | 20,323 | Enhance HfArgumentParser functionality and ease of use | {
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] | 1,668 | 1,669 | 1,669 | CONTRIBUTOR | null | # What does this PR do?
<!--
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Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
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https://api.github.com/repos/huggingface/transformers/issues/20322 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20322/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20322/comments | https://api.github.com/repos/huggingface/transformers/issues/20322/events | https://github.com/huggingface/transformers/issues/20322 | 1,455,795,528 | I_kwDOCUB6oc5Wxa1I | 20,322 | Cannot load a model that saved locally | {
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"You need to remove the quotes around model_dir:\r\n```\r\nmodel = AutoModelForQuestionAnswering.from_pretrained(model_dir)\r\ntokenizer = AutoTokenizer.from_pretrained(model_dir)\r\n```",
"Thanks. Really embarrassing!"
] | 1,668 | 1,668 | 1,668 | NONE | null | ### System Info
```
- `transformers` version: 4.24.0
- Platform: Linux-5.15.0-53-generic-x86_64-with-glibc2.35
- Python version: 3.9.15
- Huggingface_hub version: 0.10.1
- PyTorch version (GPU?): 1.13.0+cu117 (False)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed ... | {
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https://api.github.com/repos/huggingface/transformers/issues/20321 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20321/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20321/comments | https://api.github.com/repos/huggingface/transformers/issues/20321/events | https://github.com/huggingface/transformers/pull/20321 | 1,455,774,166 | PR_kwDOCUB6oc5DPnZm | 20,321 | Safetensors offload | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,668 | 1,669 | 1,669 | COLLABORATOR | null | # What does this PR do?
This PRs make offload to disk more efficient for models that have a checkpoint in safetensors format: instead of re-saving everything as Numpy memory-mapped array, it uses directly the fact we can access the tensor in the checkpoint without loading the rest.
Goes with https://github.com/hu... | {
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https://api.github.com/repos/huggingface/transformers/issues/20320 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20320/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20320/comments | https://api.github.com/repos/huggingface/transformers/issues/20320/events | https://github.com/huggingface/transformers/issues/20320 | 1,455,713,804 | I_kwDOCUB6oc5WxG4M | 20,320 | Loading model OOMs with more GPUS | {
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"It's a bit hard to follow your Issue\r\n\r\nIs loading working when you use <=6 gpus?\r\n\r\nI can't quite see from your example of the model itself how you run it - I suppose some modified version of the HF Trainer example program? unless what you run is what you shared here.\r\n\r\nWhat you have shown doesn't us... | 1,668 | 1,672 | 1,672 | NONE | null | ### System Info
- `transformers` version: 4.21.2
- Platform: Linux-5.10.135-122.509.amzn2.x86_64-x86_64-with-glibc2.2.5
- Python version: 3.8.5
- Huggingface_hub version: 0.10.0
- PyTorch version (GPU?): 1.12.1+cu113 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not in... | {
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https://api.github.com/repos/huggingface/transformers/issues/20319 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20319/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20319/comments | https://api.github.com/repos/huggingface/transformers/issues/20319/events | https://github.com/huggingface/transformers/pull/20319 | 1,455,455,209 | PR_kwDOCUB6oc5DOiqk | 20,319 | Pin TF 2.10 in docker file | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thansk!",
"Merge now quickly to make push CI green"
] | 1,668 | 1,668 | 1,668 | COLLABORATOR | null | # What does this PR do?
Pin TF 2.10 in docker file
We have to rebuild the push-ci image manually once this PR is approved. | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,668 | 1,668 | 1,668 | CONTRIBUTOR | null | # What does this PR do?
This PR adds a seed param to the squad no trainer test to ensure reproducibility. Ran 5x times on single and multi GPU to ensure that the test will pass.
Fixes # (issue)
Closes https://github.com/huggingface/transformers/issues/19733
## Before submitting
- [ ] This PR fixes a typ... | {
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https://api.github.com/repos/huggingface/transformers/issues/20317 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20317/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20317/comments | https://api.github.com/repos/huggingface/transformers/issues/20317/events | https://github.com/huggingface/transformers/pull/20317 | 1,455,306,746 | PR_kwDOCUB6oc5DOCjs | 20,317 | TF: future proof our keras imports | {
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"Other than changing `save_attributes_to_hdf5_group` to `hdf5_format.save_attributes_to_hdf5_group`, no changes are needed now -- but they will be in v2.12, so might as well 🤷 ",
"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,668 | 1,668 | 1,668 | MEMBER | null | # What does this PR do?
On the release notes for [TF 2.11](https://github.com/tensorflow/tensorflow/releases/tag/v2.11.0), we can read:
```
tensorflow/python/keras code is a legacy copy of Keras since the TensorFlow v2.7 release, and
will be deleted in the v2.12 release. Please remove any import of tensorflow.... | {
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https://api.github.com/repos/huggingface/transformers/issues/20316 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20316/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20316/comments | https://api.github.com/repos/huggingface/transformers/issues/20316/events | https://github.com/huggingface/transformers/pull/20316 | 1,455,141,219 | PR_kwDOCUB6oc5DNeSw | 20,316 | Pin TF 2.10.1 | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_20316). All of your documentation changes will be reflected on that endpoint."
] | 1,668 | 1,675 | 1,668 | COLLABORATOR | null | # What does this PR do?
Pin TF 2.10.1 | {
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https://api.github.com/repos/huggingface/transformers/issues/20315 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20315/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20315/comments | https://api.github.com/repos/huggingface/transformers/issues/20315/events | https://github.com/huggingface/transformers/pull/20315 | 1,455,133,203 | PR_kwDOCUB6oc5DNckK | 20,315 | Pin TF 2.10.0 | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_20315). All of your documentation changes will be reflected on that endpoint."
] | 1,668 | 1,675 | 1,668 | COLLABORATOR | null | # What does this PR do?
Pin TF 2.10.0 | {
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https://api.github.com/repos/huggingface/transformers/issues/20314 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20314/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20314/comments | https://api.github.com/repos/huggingface/transformers/issues/20314/events | https://github.com/huggingface/transformers/issues/20314 | 1,455,064,391 | I_kwDOCUB6oc5WuoVH | 20,314 | nested_detach of trainer fails in evaluation_loop for labels formatted for YOLOs model through feature extractor. | {
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"Thanks for reporting. There is nothing we can do without a code reproducer however. The `nested_detach` function is build to handle dictionaries of tensors, so if I pass it the example you give me above, I don't get an error.",
"Thanks for reply. I can see latest PR managed this scenario and it's working with ne... | 1,668 | 1,673 | 1,673 | NONE | null | ### System Info
@NielsRogge, @sgugger
nested_detach of trainer fails in evaluation_loop for labels formatted for YOLOs model through feature extractor.
OD label has dict format like
'labels': {
'boxes': tensor([[0.4575, 0.5120, 0.6450, 0.2726]]),
'class_labels': tensor([0]),
'image_i... | {
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https://api.github.com/repos/huggingface/transformers/issues/20313 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20313/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20313/comments | https://api.github.com/repos/huggingface/transformers/issues/20313/events | https://github.com/huggingface/transformers/pull/20313 | 1,454,978,874 | PR_kwDOCUB6oc5DM6m7 | 20,313 | Pin TensorFlow as new release breaks `pip install transformers["all"]` | {
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"Merging as it unlocks the styling checks, will further fix the rest of the failing tests in a separate PR.",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_20313). All of your documentation changes will be reflected on that endpoint."
] | 1,668 | 1,668 | 1,668 | COLLABORATOR | null | # What does this PR do?
This PR pins TensorFlow for now, as it seems there is no version of `tensorflow-text` compatible with it. | {
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https://api.github.com/repos/huggingface/transformers/issues/20312 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20312/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20312/comments | https://api.github.com/repos/huggingface/transformers/issues/20312/events | https://github.com/huggingface/transformers/issues/20312 | 1,454,952,186 | I_kwDOCUB6oc5WuM76 | 20,312 | Add eval and test for the example run_ner_no_trainer.py | {
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"Evaluation is done at every epoch in this script, not sure what more you need. The `no_trainer` scripts are more barebone on purpose, to make it easy for users to customize them.",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addre... | 1,668 | 1,689 | 1,672 | CONTRIBUTOR | null | ### Feature request
Hi, thanks for the great work. I just go through the example "transformers/examples/pytorch/token-classification/", I found that run_ner.py has eval and test. However, for run_ner_no_trainer.py, there is no eval or test. I just wonder if it is possible to add these components?
### Motivation
Enha... | {
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https://api.github.com/repos/huggingface/transformers/issues/20311 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20311/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20311/comments | https://api.github.com/repos/huggingface/transformers/issues/20311/events | https://github.com/huggingface/transformers/issues/20311 | 1,454,929,394 | I_kwDOCUB6oc5WuHXy | 20,311 | Seq2Seq question answering example script not compatible with the latest Seq2SeqTrainer class. | {
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"To clarify the last comment (about the documentation) - these arguments in `predict` and `evaluate` are extracted from `gen_kwargs`, but they are not formal arguments of these methods.",
"OK. It seems, I have not updated the code in the examples directory. The latest implementation of the trainer is valid.\r\nCl... | 1,668 | 1,668 | 1,668 | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.25.0.dev0
- Platform: Linux-4.18.0-372.16.1.el8.cyf.x86_64-x86_64-with-glibc2.28
- Python version: 3.9.6
- Huggingface_hub version: 0.11.0
- PyTorch version (GPU?): 1.13.0+cu116 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not... | {
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https://api.github.com/repos/huggingface/transformers/issues/20310 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20310/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20310/comments | https://api.github.com/repos/huggingface/transformers/issues/20310/events | https://github.com/huggingface/transformers/issues/20310 | 1,454,846,941 | I_kwDOCUB6oc5WtzPd | 20,310 | Sentence-transformer: No such file or directory error | {
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"Fixed now.\r\n\r\nThe culprit is either the way the api works or sentence-transformers, but `sentence-transformers` is not great at dealing with missing files (it looks only for 1 file and assumes the rest is there, leading to the failure you are seeing).\r\n\r\nSince the API uses massive storage to handle all the... | 1,668 | 1,704 | 1,672 | NONE | null | ### System Info
Using the sentence-transformer widget leads to the following error at https://huggingface.co/NbAiLab/nb-sbert:
`[Errno 2] No such file or directory: '/data/NbAiLab_nb-sbert/1_Pooling/config.json'`
I have checked all the config files, and can not find any references to this.
I am able to load the mo... | {
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https://api.github.com/repos/huggingface/transformers/issues/20309 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20309/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20309/comments | https://api.github.com/repos/huggingface/transformers/issues/20309/events | https://github.com/huggingface/transformers/issues/20309 | 1,454,599,811 | I_kwDOCUB6oc5Ws26D | 20,309 | Enable BAAI/AltCLIP model to better handle Chinese prompts | {
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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... | 1,668 | 1,672 | 1,672 | NONE | null | ### Feature request
We already have our bilingual CLIP model here: https://huggingface.co/BAAI/AltCLIP (currently private)
Would you like to collaborate with us to merge it into transformers?
Thanks a lot!
### Motivation
Want to enable our bilingual ALtCLIP model to handle Chinese prompts as well as English;
... | {
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https://api.github.com/repos/huggingface/transformers/issues/20308 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20308/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20308/comments | https://api.github.com/repos/huggingface/transformers/issues/20308/events | https://github.com/huggingface/transformers/issues/20308 | 1,454,169,484 | I_kwDOCUB6oc5WrN2M | 20,308 | RAG performance on WebQuestion dataset lower than expected | {
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"Please use the [forums](https://discuss.huggingface.co/) for such questions as we keep issues for bugs and feature requests only."
] | 1,668 | 1,668 | 1,668 | NONE | null | Hi, I recently fine-tuned the Rag model (based on Rag-token-base) in WebQuestion, but the EM score is only 28. The performance in the paper is 45. Do you have any saved models that can match the performance, or does there any tricks during the fine-tuning? | {
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https://api.github.com/repos/huggingface/transformers/issues/20307 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20307/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20307/comments | https://api.github.com/repos/huggingface/transformers/issues/20307/events | https://github.com/huggingface/transformers/pull/20307 | 1,453,883,005 | PR_kwDOCUB6oc5DJKjq | 20,307 | Remove double brackets | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Ooops ! \r\n\r\nThank you for the fix !"
] | 1,668 | 1,668 | 1,668 | MEMBER | null | Fixes a small typo in the pipeline docs where there were two brackets. | {
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https://api.github.com/repos/huggingface/transformers/issues/20306 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20306/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20306/comments | https://api.github.com/repos/huggingface/transformers/issues/20306/events | https://github.com/huggingface/transformers/pull/20306 | 1,453,869,273 | PR_kwDOCUB6oc5DJHnf | 20,306 | Organize pipelines | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,668 | 1,668 | 1,668 | MEMBER | null | As suggested by @NielsRogge, this PR organizes the individual task-specific pipelines according to their modality since the list is getting quite long now. | {
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https://api.github.com/repos/huggingface/transformers/issues/20305 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20305/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20305/comments | https://api.github.com/repos/huggingface/transformers/issues/20305/events | https://github.com/huggingface/transformers/pull/20305 | 1,453,815,201 | PR_kwDOCUB6oc5DI73z | 20,305 | Implement Roberta PreLayerNorm | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Hi @ArthurZucker, thanks for looking at this. I fixed minor issues reported by the GitHub testing runners. However, the CircleCI job appears to have some configuration issues that I don't think I'm responsible for. Any insight would ... | 1,668 | 1,671 | 1,671 | CONTRIBUTOR | null | # What does this PR do?
This PR implements Roberta PreLayerNorm as used in https://arxiv.org/abs/2202.08005, code provided at https://github.com/princeton-nlp/DinkyTrain. The model is equivariant to using the `--encoder-normalize-before` flag in fairseq. The addition of this model was discussed in https://github.com... | {
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https://api.github.com/repos/huggingface/transformers/issues/20304 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20304/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20304/comments | https://api.github.com/repos/huggingface/transformers/issues/20304/events | https://github.com/huggingface/transformers/pull/20304 | 1,453,742,503 | PR_kwDOCUB6oc5DIsEg | 20,304 | fix device issue | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@alaradirik Only for those post-processing with this block\r\n```python\r\n if isinstance(target_sizes, List):\r\n img_h = torch.Tensor([i[0] for i in target_sizes])\r\n img_w = torch.Tensor([i[1] for i i... | 1,668 | 1,669 | 1,669 | COLLABORATOR | null | # What does this PR do?
When this block is run
```
if isinstance(target_sizes, List):
img_h = torch.Tensor([i[0] for i in target_sizes])
img_w = torch.Tensor([i[1] for i in target_sizes])
```
`scale_fct` (defined a few line below) is always on `cpu`. We need to put it on the pro... | {
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https://api.github.com/repos/huggingface/transformers/issues/20303 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20303/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20303/comments | https://api.github.com/repos/huggingface/transformers/issues/20303/events | https://github.com/huggingface/transformers/issues/20303 | 1,453,658,816 | I_kwDOCUB6oc5WpRLA | 20,303 | BLOOM past_key_values bug | {
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"Closing (fixed by https://github.com/huggingface/transformers/pull/20213)"
] | 1,668 | 1,668 | 1,668 | NONE | null | ### System Info
- `transformers` version: 4.24.0
- Platform: Linux-5.15.0-52-generic-x86_64-with-glibc2.29
- Python version: 3.8.10
- Huggingface_hub version: 0.11.0
- PyTorch version (GPU?): 1.12.1 (True)
- Tensorflow version (GPU?): 2.9.1 (True)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax versio... | {
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https://api.github.com/repos/huggingface/transformers/issues/20302 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20302/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20302/comments | https://api.github.com/repos/huggingface/transformers/issues/20302/events | https://github.com/huggingface/transformers/pull/20302 | 1,453,610,702 | PR_kwDOCUB6oc5DIPeo | 20,302 | remove two tokens that should not be suppressed | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,668 | 1,668 | 1,668 | COLLABORATOR | null | # What does this PR do?
As mentionned in #20123, two tokens `'` and `-` were supressed. This was probably from the [late commit](https://github.com/openai/whisper/commit/8cf36f3508c9acd341a45eb2364239a3d81458b9) that appeared after I started working on it. | {
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https://api.github.com/repos/huggingface/transformers/issues/20301 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20301/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20301/comments | https://api.github.com/repos/huggingface/transformers/issues/20301/events | https://github.com/huggingface/transformers/pull/20301 | 1,453,583,537 | PR_kwDOCUB6oc5DIJpI | 20,301 | Fix blender bot missleading doc | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,668 | 1,668 | 1,668 | COLLABORATOR | null | # What does this PR do?
Fixes #19938, indeed the example is not correct. | {
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https://api.github.com/repos/huggingface/transformers/issues/20300 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20300/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20300/comments | https://api.github.com/repos/huggingface/transformers/issues/20300/events | https://github.com/huggingface/transformers/pull/20300 | 1,453,468,707 | PR_kwDOCUB6oc5DHw4a | 20,300 | [bnb] Simplifies slow test | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,668 | 1,668 | 1,668 | CONTRIBUTOR | null | # What does this PR do?
This PR simplifies a slow test for `bnb`. In fact, you can easily retrieve the devices of the model using `set(model.hf_device_map.values())`
cc @sgugger
Thanks!
| {
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https://api.github.com/repos/huggingface/transformers/issues/20299 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20299/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20299/comments | https://api.github.com/repos/huggingface/transformers/issues/20299/events | https://github.com/huggingface/transformers/issues/20299 | 1,453,464,050 | I_kwDOCUB6oc5Wohny | 20,299 | Bug in contrastive search with GPT2-decoders crossattention using batches | {
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"Hi @josh-oo\r\n\r\nI believe that issue has been fixed in the latest version as you can see in [](https://colab.research.google.com/drive/1q25nXzjuvaYHMTtosH2VVzDuSk877Ta6)\r\n\r\nAlso I believe in the reproduction of the same error without... | 1,668 | 1,671 | 1,671 | NONE | null | ### System Info
- `transformers` version: 4.24.0
- Platform: Linux-5.10.133+-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.7.15
- Huggingface_hub version: 0.11.0
- PyTorch version (GPU?): 1.12.1+cu113 (True)
- Tensorflow version (GPU?): 2.9.2 (True)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- ... | {
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https://api.github.com/repos/huggingface/transformers/issues/20298 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20298/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20298/comments | https://api.github.com/repos/huggingface/transformers/issues/20298/events | https://github.com/huggingface/transformers/pull/20298 | 1,453,454,259 | PR_kwDOCUB6oc5DHtxU | 20,298 | Deal with `ImageProcessor` | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,668 | 1,677 | 1,668 | COLLABORATOR | null | # What does this PR do?
As @amyeroberts add `ImageProcessor`, we need an update in tiny model creation script, otherwise, it won't be returned by `convert_processors`. | {
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https://api.github.com/repos/huggingface/transformers/issues/20297 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20297/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20297/comments | https://api.github.com/repos/huggingface/transformers/issues/20297/events | https://github.com/huggingface/transformers/pull/20297 | 1,453,428,107 | PR_kwDOCUB6oc5DHoIP | 20,297 | Add Transformers textbox changes | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_20297). All of your documentation changes will be reflected on that endpoint."
] | 1,668 | 1,668 | 1,668 | NONE | null | null | {
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https://api.github.com/repos/huggingface/transformers/issues/20296 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20296/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20296/comments | https://api.github.com/repos/huggingface/transformers/issues/20296/events | https://github.com/huggingface/transformers/pull/20296 | 1,453,383,507 | PR_kwDOCUB6oc5DHeZb | 20,296 | [Table Transformer] Add resources | {
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] | 1,668 | 1,669 | 1,669 | CONTRIBUTOR | null | # What does this PR do?
This PR adds resources for Table Transformer. | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@sgugger PR is ready for a final review :) only remaining issue is that we need to update `from_pretrained` in `ProcessorMixin` to handle multiple image processors",
"Hi, is it possible to finetune git with transformers?"
] | 1,668 | 1,672 | 1,672 | CONTRIBUTOR | null | # What does this PR do?
This PR implements GIT, short for GenerativeImage2Text. The model is a decoder-only Transformer conditioned on CLIP patch tokens + text tokens for tasks like image captioning and VQA.
To do:
- [x] add support for user-provided attention_mask
- [x] fix model_input_names of processor, se... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,668 | 1,668 | 1,668 | CONTRIBUTOR | null | # What does this PR do?
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,668 | 1,668 | 1,668 | COLLABORATOR | null | # What does this PR do?
Add slack report button for Example test.
- We just need to specify device in the artifact file names
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"_The documentation is not available anymore as the PR was closed or merged._",
"Yes, I would add the support for Longformer in `optimum`, and the tests there as well.",
"Thanks for iterating @fxmarty ! \r\n\r\nSince @ydshieh has also approved, gently pinging @sgugger for final approval :)",
"Hello @sgugger @... | 1,668 | 1,669 | 1,669 | COLLABORATOR | null | This PR fixes the ONNX export of longformer, that was **silently** broken for several cases:
* the export registers `padding_len > 0` as a constant equal to `True`, hence during inference in the dynamic case `padding_len == 0`, we would still go through the path `padding_len > 0` that would then contain negative ind... | {
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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... | 1,668 | 1,671 | 1,671 | CONTRIBUTOR | null | null | {
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"```\r\n compute_logprobs(int(sys.argv[3]), int(sys.argv[4]), sys.argv[2], model_name=sys.argv[1])\r\n```\r\n \r\nWhat are those values, and what do they correspond to ?",
"Hi @xiaoyangnickhu 👋 This seems business as usual for large models and a forum question for the PyTorch experts.\r\n\r\nAs per our [is... | 1,668 | 1,668 | 1,668 | NONE | null | ### System Info
- `transformers` version: 4.22.0.dev0
- Platform: Linux-4.18.0-305.45.1.el8_4.x86_64-x86_64-with-glibc2.28
- Python version: 3.9.12
- Huggingface_hub version: 0.8.1
- PyTorch version (GPU?): 1.12.1+cu116 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,668 | 1,668 | 1,668 | CONTRIBUTOR | null | …in pytorch cpu/cuda amp autocast
Signed-off-by: Wang, Yi A <yi.a.wang@intel.com>
- trainer: @sgugger
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_20288). All of your documentation changes will be reflected on that endpoint.",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_20288). All of your documentation changes will be re... | 1,668 | 1,669 | 1,669 | CONTRIBUTOR | null | # What does this PR do?
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"cc @younesbelkada ",
"Hi @jimmy-marmalade \r\nThanks a lot for raising this point. Note that `int8` quantization is done in 2 stages, it first converts the model in `float16` and uses the `fp16` model to quantize it in `8bit`. If you try to load and run the model in `fp16` you also get gibberish output:\r\n```\r... | 1,668 | 1,671 | 1,671 | NONE | null | ### System Info
- `transformers` version: 4.25.0.dev0
- Platform: Linux-5.10.133+-x86_64-with-debian-bullseye-sid
- Python version: 3.7.12
- Huggingface_hub version: 0.11.0
- PyTorch version (GPU?): 1.12.1 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_20286). All of your documentation changes will be reflected on that endpoint."
] | 1,668 | 1,668 | 1,668 | CONTRIBUTOR | null | # What does this PR do?
This PR solves the test failure in the nightly CI for the summarization no trainer script. Also potentially https://github.com/huggingface/transformers/issues/18189 too, just waiting for verification first otherwise a followup PR will be made
`gather_for_metrics` was being called twice ins... | {
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"cc @ArthurZucker ",
"> cc @ArthurZucker\r\n\r\nMany thanks!",
"Hey!\r\nFor starters, would be great if you could have provided the example with `transformers` only code because we are not really aware of what might be going on inside `minicons`. Does it use the `fast` or `slow` tokenizer? What arguments are mo... | 1,668 | 1,669 | 1,669 | NONE | null | ### System Info
Linux Debian,
bert-base-multilingual-cased,
bert-base-chinese
### Who can help?
@SaulLu
@LysandreJik
@ArthurZucker
### Information
- [X] The official example scripts
- [X] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLU... | {
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} | https://api.github.com/repos/huggingface/transformers/issues/20285/timeline | completed | null | null |
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