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https://api.github.com/repos/huggingface/transformers/issues/20284 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20284/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20284/comments | https://api.github.com/repos/huggingface/transformers/issues/20284/events | https://github.com/huggingface/transformers/issues/20284 | 1,452,089,737 | I_kwDOCUB6oc5WjSGJ | 20,284 | Transformer cannot tokenize Chinese words | {
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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 | 1,674 | 1,674 | NONE | null | null | {
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https://api.github.com/repos/huggingface/transformers/issues/20283 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20283/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20283/comments | https://api.github.com/repos/huggingface/transformers/issues/20283/events | https://github.com/huggingface/transformers/pull/20283 | 1,452,080,841 | PR_kwDOCUB6oc5DDMJ_ | 20,283 | Optimizes DonutProcessor token2json method for speed | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_20283). All of your documentation changes will be reflected on that endpoint.",
"Hi @NielsRogge . Do I need to make any changes to this PR? I... | 1,668 | 1,669 | 1,669 | CONTRIBUTOR | null | # What does this PR do?
Speeds up the `token2json` method in `DonutProcessor` by calling `self.tokenizer.get_added_vocab()` once and reusing the `added_vocab` results in subsequent recursive calls.
Fixes # (issue)
[Issue #20238](https://github.com/huggingface/transformers/issues/20238)
The `self.tokenizer.... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_20282). 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_20282). All of your documentation changes will be re... | 1,668 | 1,668 | 1,668 | CONTRIBUTOR | null | # What does this PR do?
This PR warns users that try to save 8-bit loaded models
closes #20247
closes #19480
cc @sgugger
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https://api.github.com/repos/huggingface/transformers/issues/20281 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20281/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20281/comments | https://api.github.com/repos/huggingface/transformers/issues/20281/events | https://github.com/huggingface/transformers/pull/20281 | 1,451,917,081 | PR_kwDOCUB6oc5DCpcd | 20,281 | [bnb] We should be able to run 8-bit models on CPU & GPU | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_20281). All of your documentation changes will be reflected on that endpoint.",
"Yes, this is true, maybe I can add a warning telling the user about the underlying behaviour? (weights offloaded on CPU will remain in their n... | 1,668 | 1,677 | 1,668 | CONTRIBUTOR | null | # What does this PR do?
This PR adds the possibility of using a custom device map containing CPU and GPU devices when loading and running 8-bit models. This is useful in the context of large models, if someone wants to offload part of the model on `cpu` or on the `disk`.
Added also slow tests to test this feature, ... | {
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https://api.github.com/repos/huggingface/transformers/issues/20280 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20280/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20280/comments | https://api.github.com/repos/huggingface/transformers/issues/20280/events | https://github.com/huggingface/transformers/pull/20280 | 1,451,812,665 | PR_kwDOCUB6oc5DCS-3 | 20,280 | [Proposal] Breaking change `zero-shot-object-detection` for improved consistency. | {
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"@sahamrit Happy to hear your thoughts on this since you are the original implementor.\r\n\r\nI'm proposing many breaking changes here which mostly are due to me being not enforcing them enough during the PR (well I think it was better to get the pipeline out sooner with some flaws rather than too late).\r\nSince I... | 1,668 | 1,668 | 1,668 | CONTRIBUTOR | null | # What does this PR do?
This is a proposal to modify the output of `zero-shot-object-detection`
to provide better alignment with other pipelines.
The output is now strictly the same as `object-detection` whereas before
it would output lists of lists.
The name `candidate_labels` is used throughout for consi... | {
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https://api.github.com/repos/huggingface/transformers/issues/20279 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20279/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20279/comments | https://api.github.com/repos/huggingface/transformers/issues/20279/events | https://github.com/huggingface/transformers/pull/20279 | 1,451,796,701 | PR_kwDOCUB6oc5DCPe8 | 20,279 | [SegFormer] Add support for segmentation masks with one label | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"How soon will this PR be done? And why using BCEWithLogitsLoss not Dice loss?",
"when is this going to be closed. Our team would like to use it",
"when this becomes active, how would one use it.\r\n\r\nthank you nielsrogge for se... | 1,668 | 1,692 | 1,671 | CONTRIBUTOR | null | # What does this PR do?
This PR makes it possible to fine-tune SegFormer in case you have a mask containing only a single value, i.e. your mask could look like [[255, 0], [0, 255]]. In this case, config.num_labels = 1 and the ignore index is 255.
If this works fine, then we can add it to any other model supported... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_20278). All of your documentation changes will be reflected on that endpoint.",
"The docs for this PR live [here](https://moon-ci-docs.huggin... | 1,668 | 1,668 | 1,668 | COLLABORATOR | null | # What does this PR do?
* Removes reimplementations of `center_to_corners` format
* Removes `# Copied from` statements and imports directly instead
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor g... | {
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https://api.github.com/repos/huggingface/transformers/issues/20277 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20277/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20277/comments | https://api.github.com/repos/huggingface/transformers/issues/20277/events | https://github.com/huggingface/transformers/pull/20277 | 1,451,735,584 | PR_kwDOCUB6oc5DCCOt | 20,277 | Generate: general TF XLA constrastive search are now slow tests | {
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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 | # What does this PR do?
TF's XLA contrastive search tests were time-consuming because of the conversion to XLA, so this PR moves them to more powerful slow tests.
Making these tests faster would imply creating smaller model configs for each model, which seems like overkill. | {
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https://api.github.com/repos/huggingface/transformers/issues/20276 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20276/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20276/comments | https://api.github.com/repos/huggingface/transformers/issues/20276/events | https://github.com/huggingface/transformers/pull/20276 | 1,451,711,854 | PR_kwDOCUB6oc5DB9Dn | 20,276 | Fix result saving errors of pytorch examples | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_20276). All of your documentation changes will be reflected on that endpoint."
] | 1,668 | 1,668 | 1,668 | CONTRIBUTOR | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/20275 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20275/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20275/comments | https://api.github.com/repos/huggingface/transformers/issues/20275/events | https://github.com/huggingface/transformers/issues/20275 | 1,451,672,988 | I_kwDOCUB6oc5WhsWc | 20,275 | Convert LongT5 to ONNX | {
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"cc @lewtun ",
"Same silent issue on longformer when `global_attention_mask` is zero everywhere and running with ONNX Runtime. When at least one value is non-zero, it's fine.",
"Anything I can do on my side to help fixing this issue? :)",
"@jplu Do you have any warning during the onnx conversion? Things like ... | 1,668 | 1,678 | 1,678 | CONTRIBUTOR | null | ### System Info
transformers-cli env
- `transformers` version: 4.24.0
- Platform: Linux-5.4.0-99-generic-x86_64-with-glibc2.17
- Python version: 3.8.12
- Huggingface_hub version: 0.10.1
- PyTorch version (GPU?): 1.12.1+cu102 (True)
- onnxruntime-gpu: 1.13.1
- Tensorflow version (GPU?): not installed (NA)
-... | {
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https://api.github.com/repos/huggingface/transformers/issues/20273 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20273/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20273/comments | https://api.github.com/repos/huggingface/transformers/issues/20273/events | https://github.com/huggingface/transformers/pull/20273 | 1,451,604,939 | PR_kwDOCUB6oc5DBlp- | 20,273 | [Doctest] Add configuration_deformable_detr.py | {
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Adds configuration_deformable_detr.py to utils/documentation_tests.txt
Based on https://github.com/huggingface/transformers/issues/19487
@ydshieh can you please have a look? thanks :D
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_20272). All of your documentation changes will be reflected on that endpoint."
] | 1,668 | 1,668 | 1,668 | CONTRIBUTOR | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/20270 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20270/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20270/comments | https://api.github.com/repos/huggingface/transformers/issues/20270/events | https://github.com/huggingface/transformers/pull/20270 | 1,451,447,017 | PR_kwDOCUB6oc5DBCc4 | 20,270 | Add StdScaler for time series Transformer model | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"thanks! will add... moving this to draft for now as i have to check this before adding",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_20270). All of your documentation changes will be r... | 1,668 | 1,671 | 1,671 | CONTRIBUTOR | null | # What does this PR do?
- [x] Add `loc` and `scale` outputs from current scalers and use both as static real-valued covariates
- [ ] double check training/inference works as usual
- [ ] add the StdScaler
## 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/20269 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20269/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20269/comments | https://api.github.com/repos/huggingface/transformers/issues/20269/events | https://github.com/huggingface/transformers/issues/20269 | 1,451,415,935 | I_kwDOCUB6oc5Wgtl_ | 20,269 | cannot load bart encoder | {
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"@icedpanda I am not able to reproduce this error, Can you try to reproduce this in a colab notebook and share the notebook here ? ",
"was working on the terminal but not in the notebook. Works now after reinstalling the notebook. "
] | 1,668 | 1,668 | 1,668 | NONE | null | ### System Info
- `transformers` version: 4.23.1
- Platform: Linux-5.10.102.1-microsoft-standard-WSL2-x86_64-with-glibc2.31
- Python version: 3.10.0
- Huggingface_hub version: 0.10.1
- PyTorch version (GPU?): 1.12.1 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not insta... | {
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https://api.github.com/repos/huggingface/transformers/issues/20268 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20268/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20268/comments | https://api.github.com/repos/huggingface/transformers/issues/20268/events | https://github.com/huggingface/transformers/pull/20268 | 1,451,384,963 | PR_kwDOCUB6oc5DA05m | 20,268 | Adding doctest for `zero-shot-classification` pipeline. | {
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] | 1,668 | 1,668 | 1,668 | CONTRIBUTOR | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/20267 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20267/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20267/comments | https://api.github.com/repos/huggingface/transformers/issues/20267/events | https://github.com/huggingface/transformers/pull/20267 | 1,451,370,508 | PR_kwDOCUB6oc5DAxwW | 20,267 | Complete doc migration | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_20267). All of your documentation changes will be reflected on that endpoint.",
"LGTM, and thanks for the awesome work. I bag my courage to approve.\r\n",
"well, I forgot to approve after leaving a comment, sorry."
] | 1,668 | 1,668 | 1,668 | CONTRIBUTOR | null | Reverts https://github.com/huggingface/transformers/pull/20125
Everything is handled on the doc-builder side now 😊 | {
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] | 1,668 | 1,669 | 1,669 | COLLABORATOR | null | # What does this PR do?
Improve pipeline testing | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"> I still think the `candidate_labels` argument/naming is not very aligned with zero-shot object detection but the PR looks good to me otherwise.\r\n\r\nHere it's just an alias.\r\nI'm really not sure I understand how it could be a b... | 1,668 | 1,668 | 1,668 | CONTRIBUTOR | null | # 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_20256). All of your documentation changes will be reflected on that endpoint.",
"Would it be possible here to add additional examples for SegFormer (semantic segmentation) and MaskFormer (panoptic segmentation)?",
"> Woul... | 1,668 | 1,668 | 1,668 | CONTRIBUTOR | null | # What does this PR do?
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"Hi,\r\n\r\nMobileViT's semantic segmentation is indeed very low-resolution, as seen in this Space: https://huggingface.co/spaces/Matthijs/mobilevit-deeplab-demo. cc @hollance \r\n\r\nIf you want to look into models that output more fine-grained segmentation results, I'd recommend checking out [SegFormer](https://h... | 1,668 | 1,669 | 1,669 | CONTRIBUTOR | null | ### System Info
Python 3.9.6
transformers==4.24.0
### Who can help?
_No response_
### 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 ... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_20253). All of your documentation changes will be re... | 1,668 | 1,668 | 1,668 | CONTRIBUTOR | null | # What does this PR do?
Fixes https://github.com/huggingface/transformers/pull/20226#discussion_r1023296368
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"Also cc @sanchit-gandhi ",
"Hey @peregilk! Cool to see that you're using the Flax training scripts! Nice that you have TPU v4 pods as well 🚀\r\n\r\nThe scripts are only tested on single TPU devices (i.e. TPU v2-8, v3-8 and v4-8), however they can be made to work in a multi-host set-up.\r\n\r\nHow are you launch... | 1,668 | 1,681 | null | CONTRIBUTOR | null | ### System Info
transformers 4.24.0
### Who can help?
@patil-suraj
I am having problems scaling the run_mlm_flax scripts so that they run on TPU VM v4 Pods (ie the v4-16, v4-32 etc). When running "out of the box", the performance is exactly the same as when running on a v4-8. To me this indicates that I am feedi... | {
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https://api.github.com/repos/huggingface/transformers/issues/20251 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20251/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20251/comments | https://api.github.com/repos/huggingface/transformers/issues/20251/events | https://github.com/huggingface/transformers/issues/20251 | 1,450,864,768 | I_kwDOCUB6oc5WenCA | 20,251 | Consistently getting lower log probabilities for more probable sequences | {
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"Hey @xiaoyangnickhu 👋 \r\n\r\nI believe your snippet has an issue with indexing when appending to `input_logprobs`. `all_tokens_logprobs` contains the log probs for the NEXT token, not for the current token. i.e. accessing `all_tokens_logprobs[batch_idx, 0, token]` has the log probs for the token at position `1`,... | 1,668 | 1,668 | 1,668 | 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: 0.10.1
- 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/20250 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20250/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20250/comments | https://api.github.com/repos/huggingface/transformers/issues/20250/events | https://github.com/huggingface/transformers/issues/20250 | 1,450,750,436 | I_kwDOCUB6oc5WeLHk | 20,250 | All Flan-T5 models configs use the incorrect activation function | {
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"Hi @michaelroyzen \r\nThanks for raising this.\r\nYou are right, one should use `gated-gelu` as it is done in t5 LM-adapt checkpoints. We have updated with @ArthurZucker the config files of flan-T5 models. \r\nNote that forcing `is_gated_act` to `True` leads to using gated activation function too. The only differ... | 1,668 | 1,668 | 1,668 | NONE | null | ### System Info
The [configs](https://huggingface.co/google/flan-t5-xxl/blob/main/config.json) for all of the Flan-T5 says that the activation function is 'gelu' and yet 'is_gated_act' is set to true. This is an inherent contradiction.
Doing more digging, I realized that per [Google's original Flan-T5 checkpoints ]... | {
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"Looks like adding support while not breaking previous Python version will be tricky, as `from types import UnionType` only work for Python 3.10 and above. We can look at a PR if you want to try a contribution, but I don't think we will add this ourselves until Python 3.10 is more widely supported (PyTorch and Tens... | 1,668 | 1,683 | 1,671 | NONE | null | ### Feature request
[PEP-604](https://peps.python.org/pep-0604/) created the X | Y syntax on python 3.10, which is equivalent to Union[X, Y]. The use of this syntax is not supported by HfArgumentParser.
### Motivation
With this syntax I would like to use something like:
```
@dataclass
class ModelArgumen... | {
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"Hi @jmhessel Flax is in maintenance mode only, so it's very unlikely we will add support to this ourselves. Feel free to open a PR if you want however!",
"gotcha, thank you! I will take a look",
"Actually this is relatively important I think since the main way to pretrain T5 is via Google's T5X repo so having ... | 1,668 | 1,671 | 1,671 | NONE | null | ### System Info
- `transformers` version: 4.21.1
- Platform: Linux-5.4.0-92-generic-x86_64-with-glibc2.17
- Python version: 3.8.10
- Huggingface_hub version: 0.2.1
- PyTorch version (GPU?): 1.12.1+cu113 (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/20247 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20247/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20247/comments | https://api.github.com/repos/huggingface/transformers/issues/20247/events | https://github.com/huggingface/transformers/issues/20247 | 1,450,403,008 | I_kwDOCUB6oc5Wc2TA | 20,247 | Saving a 8-bit T5 does not work. | {
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"Those are all arguments for inference specifically. `save_pretrained` does not work if you use `device_map=\"auto\"` if you have weights offloaded on the CPU (not sure if it's the case or not here) and it's not been tested with `load_in_8bit` either.\r\n\r\nWe will probably fix this later down the road, but for no... | 1,668 | 1,668 | 1,668 | CONTRIBUTOR | null | ### System Info
Latest.
### Who can help?
@patrickvonplaten
I am able to load a T5 model in 8-bit-format using this command:
`model = T5ForConditionalGeneration.from_pretrained(".",load_in_8bit=True, device_map="auto")`
The model works fine. Saving the model using ".save_pretrained()" also seems to work, and... | {
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"If the architecture is the same, it's just a matter of converting the checkpoints to the HF format and uploading them, no need to add a new model in the library :-)",
"Hi, Sylvain!\r\n\r\nYes, It is the same (Even I have run the forward pass with their wrapper and the HF `OPTForCausalLM` and the output is the sa... | 1,668 | 1,668 | 1,668 | CONTRIBUTOR | null | ### Model description
Galactica is a large language model for science.
Can summarize academic literature, solve math problems, generate Wiki articles, write scientific code, annotate molecules and proteins.
Web: galactica.org
Code: https://github.com/paperswithcode/galai
PS: It seems to use OPT architecture so... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@omarespejel or @osanseviero, can you help me review this PR? Thanks!",
"@osanseviero, I addressed your comments in my last commit. Thanks for your review. I'll consider your feedback for future translations.",
"@sgugger, review ... | 1,668 | 1,669 | 1,669 | CONTRIBUTOR | null | # What does this PR do?
Add the Spanish translation for `serialization.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 t... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_20244). All of your documentation changes will be reflected on that endpoint.",
"@sgugger",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_20244). All of your documentation chan... | 1,668 | 1,668 | 1,668 | CONTRIBUTOR | null | # What does this PR do?
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] | 1,668 | 1,668 | 1,668 | CONTRIBUTOR | null | # What does this PR do?
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] | 1,668 | 1,668 | 1,668 | CONTRIBUTOR | null | # What does this PR do?
Update all the PyTorch examples using `accelerate` and `gather_for_metrics` to include a minimum accelerate version of 0.12.0 since this introduced `gather_for_metrics`
Related to https://github.com/huggingface/accelerate/issues/854
## Before submitting
- [ ] This PR fixes a typo or im... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_20241). All of your documentation changes will be reflected on that endpoint."
] | 1,668 | 1,668 | 1,668 | CONTRIBUTOR | null | # What does this PR do?
Follow up of https://github.com/huggingface/transformers/pull/20226
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https://api.github.com/repos/huggingface/transformers/issues/20239 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20239/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20239/comments | https://api.github.com/repos/huggingface/transformers/issues/20239/events | https://github.com/huggingface/transformers/pull/20239 | 1,450,076,664 | PR_kwDOCUB6oc5C8dEG | 20,239 | Adding doctest for document-question-answering | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_20239). All of your documentation changes will be reflected on that endpoint."
] | 1,668 | 1,668 | 1,668 | CONTRIBUTOR | null | # What does this PR do?
Follow up https://github.com/huggingface/transformers/pull/20226
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https://api.github.com/repos/huggingface/transformers/issues/20238 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20238/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20238/comments | https://api.github.com/repos/huggingface/transformers/issues/20238/events | https://github.com/huggingface/transformers/issues/20238 | 1,450,070,116 | I_kwDOCUB6oc5WblBk | 20,238 | DonutProcessor token2json too slow | {
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"Hi,\r\n\r\nThanks for looking into this and finding the bottleneck. Would you be available to contribute this to the community by opening a PR? Thanks!",
"> Hi,\r\n> \r\n> Thanks for looking into this and finding the bottleneck. Would you be available to contribute this to the community by opening a PR? Thanks!\... | 1,668 | 1,669 | 1,669 | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.25.0.dev0
- Platform: Linux-5.4.0-1094-azure-x86_64-with-glibc2.2.5
- Python version: 3.8.15
- Huggingface_hub version: 0.11.0.dev0
- PyTorch version (GPU?): 1.13.0+cu117 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not instal... | {
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https://api.github.com/repos/huggingface/transformers/issues/20237 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20237/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20237/comments | https://api.github.com/repos/huggingface/transformers/issues/20237/events | https://github.com/huggingface/transformers/pull/20237 | 1,450,038,165 | PR_kwDOCUB6oc5C8VEq | 20,237 | Adding an example for `depth-estimation` pipeline. | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_20237). All of your documentation changes will be re... | 1,668 | 1,668 | 1,668 | CONTRIBUTOR | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/20236 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20236/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20236/comments | https://api.github.com/repos/huggingface/transformers/issues/20236/events | https://github.com/huggingface/transformers/pull/20236 | 1,450,015,984 | PR_kwDOCUB6oc5C8QYs | 20,236 | Updating the doctest for conversational. | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_20236). All of your documentation changes will be re... | 1,668 | 1,668 | 1,668 | CONTRIBUTOR | null | # What does this PR do?
Follow up https://github.com/huggingface/transformers/pull/20226
- Make it tested against
- Add explicit output in the test.
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Follow up of https://github.com/huggingface/transformers/pull/20226
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https://api.github.com/repos/huggingface/transformers/issues/20234 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20234/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20234/comments | https://api.github.com/repos/huggingface/transformers/issues/20234/events | https://github.com/huggingface/transformers/pull/20234 | 1,449,861,458 | PR_kwDOCUB6oc5C7vrT | 20,234 | Fix `run_clip.py` | {
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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?
The type annotation for `Transform.forward` (in `run_clip.py`) never work when I tried several torch/pillow versions.
This forward is compiled by `torch.jit`.
With the current type annotation `x: Image`, we get error
```bash
RuntimeError:
Unknown type name 'Image':
```
With `x: Im... | {
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https://api.github.com/repos/huggingface/transformers/issues/20233 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20233/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20233/comments | https://api.github.com/repos/huggingface/transformers/issues/20233/events | https://github.com/huggingface/transformers/pull/20233 | 1,449,813,908 | PR_kwDOCUB6oc5C7lU3 | 20,233 | Fix docstring of CLIPTokenizer(Fast) | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_20233). All of your documentation changes will be reflected on that endpoint."
] | 1,668 | 1,668 | 1,668 | CONTRIBUTOR | null | # What does this PR do?
The docstrings of `CLIPTokenizer` and `CLIPTokenizerFast` had the wrong default value for `bos_token` (`<|endoftext|>` instead of `<|startoftext|>`).
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
## Who can r... | {
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https://api.github.com/repos/huggingface/transformers/issues/20232 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20232/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20232/comments | https://api.github.com/repos/huggingface/transformers/issues/20232/events | https://github.com/huggingface/transformers/pull/20232 | 1,449,757,129 | PR_kwDOCUB6oc5C7ZB5 | 20,232 | Slightly alter Keras dummy loss | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@gante Can you take one more look at the expanded tests?\r\n\r\nAlso, the failing test looks like flakiness with a too-low threshold to me, unrelated to this PR"
] | 1,668 | 1,668 | 1,668 | MEMBER | null | The existing `dummy_loss` returns a scalar, but this is incorrect - Keras expects loss functions to return a vector of per-sample losses. This only causes issues when the user passes `sample_weight` to `fit()` - I'll probably adjust our tests to include that to make sure we don't regress on this in future. | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_20231). All of your documentation changes will be reflected on that endpoint.",
"Could you ensure it works with `huggingface_hub` version `v0... | 1,668 | 1,668 | 1,668 | MEMBER | null | # What does this PR do?
Adds a test to TF's `PushToHubCallback` | {
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https://api.github.com/repos/huggingface/transformers/issues/20230 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20230/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20230/comments | https://api.github.com/repos/huggingface/transformers/issues/20230/events | https://github.com/huggingface/transformers/pull/20230 | 1,449,603,946 | PR_kwDOCUB6oc5C63zR | 20,230 | [ASR Examples] Update README for Whisper | {
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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?
Summarises changes from https://github.com/huggingface/transformers/pull/19519 and the blog post at https://huggingface.co/blog/fine-tune-whisper, providing examples for fine-tuning Whisper using the example script `run_speech_recognition_seq2seq.py`.
Required some re-jigging of the Speech... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_20229). All of your documentation changes will be reflected on that endpoint.",
"The docs for this PR live [here](https://moon-ci-docs.huggin... | 1,668 | 1,668 | 1,668 | CONTRIBUTOR | null | # What does this PR do?
As #20204 is a big PR, this PR adds a part of it as a standalone PR. This PR adds the AutoBackbone class, along with one example class that it supports, namely ResNetBackbone.
## Usage
Usage is as follows:
```
from transformers import AutoImageProcessor, AutoBackbone
import torch
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_20228). All of your documentation changes will be reflected on that endpoint."
] | 1,668 | 1,668 | 1,668 | COLLABORATOR | null | # What does this PR do?
Just cleans up a bug/typo discoverd. `_keys_to_ignore_on_load_missing` is supported but not `authorized_missing_keys`.
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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?
Fix Tapas/Scatter device issue | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_20226). 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_20226). All of your documentation changes will be re... | 1,668 | 1,668 | 1,668 | CONTRIBUTOR | null | # What does this PR do?
This is the first PR of a series that will aim to add examples for ALL pipelines.
The example uses `pipeline` instead of the documented `AutomaticSpeechRecognitionPipeline` intentionally.
It break my personal idea of documenting really what we're documenting, but it makes the example a lo... | {
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https://api.github.com/repos/huggingface/transformers/issues/20225 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20225/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20225/comments | https://api.github.com/repos/huggingface/transformers/issues/20225/events | https://github.com/huggingface/transformers/issues/20225 | 1,449,404,412 | I_kwDOCUB6oc5WZCf8 | 20,225 | Whisper: timestamp tokens are missing in the tokenizer vocabulary | {
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"Hey! Though I agree with you on the fact that normally the tokenizer vocab size is the same as the model's, in this case, the original model was similar. The `timestamp` tokens are all outside vocabulary and decoded as `\"\"` with the fast `GPT2FastTokenizer` in the original code. The `WhisperTokenizer` was adapte... | 1,668 | 1,692 | 1,692 | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.24.0
- Platform: Linux-5.15.0-52-generic-x86_64-with-glibc2.35
- Python version: 3.10.6
- Huggingface_hub version: 0.10.1
- PyTorch version (GPU?): 1.13.0+cu117 (True)
### Who can help?
@ArthurZucker
### Information
- [ ] The official example scripts
- [X... | {
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https://api.github.com/repos/huggingface/transformers/issues/20224 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20224/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20224/comments | https://api.github.com/repos/huggingface/transformers/issues/20224/events | https://github.com/huggingface/transformers/issues/20224 | 1,449,346,442 | I_kwDOCUB6oc5WY0WK | 20,224 | Question about layer norm in T5 | {
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"Please use the [forums](https://discuss.huggingface.co/) to ask such questions as we keep issues for bugs and feature requests only.",
"Sure. have created this topic [question-about-layer-norm-in-t5](https://discuss.huggingface.co/t/question-about-layer-norm-in-t5/26142). I'd close this issue. "
] | 1,668 | 1,668 | 1,668 | NONE | null | I notice that there is no bias and no subtraction of mean in layer norm.
I understand no bias but I'm confused about the meaning of computing variance without subtraction of mean.
Normally, we compute variance, for example:
<img width="491" alt="image" src="https://user-images.githubusercontent.com/7160927/2018... | {
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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 | 1,675 | 1,671 | NONE | null | ### System Info
All Yolos models/pipeline case my pc reboot immediately on windows 10 and 11 system ( WSL in win11 and Ubuntu(not virtual) work well on the same machine)
1. I reinstalled the os system and tested (both win10 and win11) two times and make sure all the drivers are up to date. The results are the sam... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_20222). All of your documentation changes will be reflected on that endpoint.",
"Apart from the exceptional case where we don't want to use the prod server for testing, I am very much against using env variable/constants th... | 1,668 | 1,675 | 1,668 | COLLABORATOR | null | # What does this PR do?
Quick fix for `test_torch_fx` under torch 1.13.
Since `torch 1.13`, using `meta` device gives some noisy tensors, which breaks `test_torch_fx`.
@michaelbenayoun is more qualified than me to explain this more clearly.
This PR changes the device to "cpu" if `fx.py` is used in the testing... | {
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"Are you behind some firewall? It seems like you can't connect hugging face. If you are able to freely access internet with proxy you could yous this snippet:\r\n\r\n```python3\r\nimport os\r\nos.environ['HTTP_PROXY'] = 'http://proxy_url:proxy_port'\r\nos.environ['HTTPS_PROXY'] = 'http://proxy_url:proxy_port'\r\n``... | 1,668 | 1,671 | 1,671 | NONE | null | ### System Info
Transformer version = 4.24.0
Python = 3.8
Error: SSLError: HTTPSConnectionPool(host='huggingface.co', port=443): Max retries exceeded with url: /bert-large-uncased/resolve/main/config.json (Caused by SSLError(SSLError(136, '[X509: NO_CERTIFICATE_OR_CRL_FOUND] no certificate or crl found (_ssl.c:4264)... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_20220). 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 fixes a spelling error in the testing documentation. Changes "checkt" to "check".
Fixes #20194
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [ ] Did you read the [contributor guideline](https://githu... | {
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https://api.github.com/repos/huggingface/transformers/issues/20219 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20219/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20219/comments | https://api.github.com/repos/huggingface/transformers/issues/20219/events | https://github.com/huggingface/transformers/pull/20219 | 1,448,886,050 | PR_kwDOCUB6oc5C4ekj | 20,219 | Add Neighborhood Attention Transformer (NAT) and Dilated NAT (DiNAT) models | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_20219). All of your documentation changes will be reflected on that endpoint.",
"The docs for this PR live [here](https://moon-ci-docs.huggin... | 1,668 | 1,668 | 1,668 | CONTRIBUTOR | null | # What does this PR do?
This PR adds [NAT](https://github.com/SHI-Labs/Neighborhood-Attention-Transformer/blob/main/NAT.md) and [DiNAT](https://github.com/SHI-Labs/Neighborhood-Attention-Transformer/blob/main/DiNAT.md) and their dependencies.
## Dependencies
- [NATTEN](https://github.com/SHI-Labs/NATTEN/) is the... | {
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https://api.github.com/repos/huggingface/transformers/issues/20218 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20218/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20218/comments | https://api.github.com/repos/huggingface/transformers/issues/20218/events | https://github.com/huggingface/transformers/pull/20218 | 1,448,654,888 | PR_kwDOCUB6oc5C3rju | 20,218 | Generate: add generation config class | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_20218). All of your documentation changes will be reflected on that endpoint.",
"The docs for this PR live [here](https://moon-ci-docs.huggin... | 1,668 | 1,669 | 1,669 | MEMBER | null | # What does this PR do?
Adds the class that handles generation configurations. From this class, we can then start working on the interaction with other parts of the Hugging Face 🤗 ecosystem. See https://github.com/huggingface/transformers/issues/18655 for the original plan, which matches this implementation.
Thr... | {
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https://api.github.com/repos/huggingface/transformers/issues/20217 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20217/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20217/comments | https://api.github.com/repos/huggingface/transformers/issues/20217/events | https://github.com/huggingface/transformers/pull/20217 | 1,448,560,195 | PR_kwDOCUB6oc5C3XDC | 20,217 | remaining pytorch type hints | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_20217). 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_20217). All of your documentation changes will be re... | 1,668 | 1,668 | 1,668 | CONTRIBUTOR | null | # What does this PR do?
Type hints
@Rocketknight1 | {
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https://api.github.com/repos/huggingface/transformers/issues/20216 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20216/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20216/comments | https://api.github.com/repos/huggingface/transformers/issues/20216/events | https://github.com/huggingface/transformers/issues/20216 | 1,448,521,466 | I_kwDOCUB6oc5WVq76 | 20,216 | Infer pretrained base model and tokenizer used from a fine-tuned model_dir | {
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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.",
"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 not... | 1,668 | 1,671 | 1,671 | NONE | null | ### Feature request
I would like to infer the pretrained base model and the tokenizer from the model_dir of a fine-tuned model. Is that possible with the default trainer setup? What I did previously was to programmatically copy all the tokenizer data into each checkpoint folder. But this seems cumbersome.
### Motiva... | {
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https://api.github.com/repos/huggingface/transformers/issues/20215 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20215/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20215/comments | https://api.github.com/repos/huggingface/transformers/issues/20215/events | https://github.com/huggingface/transformers/issues/20215 | 1,448,501,532 | I_kwDOCUB6oc5WVmEc | 20,215 | Why is tokenized-text Non-Fast when it is of type BatchEncoding and the tokenizer is Fast? | {
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"cc @ArthurZucker ",
"Hey, could you provide a full reproduction script? ",
"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 guid... | 1,668 | 1,674 | 1,674 | NONE | null | ### System Info
Huggingface Transformers version **4.21.1**
PyTorch version **1.12.1+cu116**
Python version **3.10.4**
Platform Ubuntu **22.04.1 LTS**
**transformers-cli env**
Traceback (most recent call last):
File "/home/vin/.local/bin/transformers-cli", line 5, in <module>
from transformers.commands.... | {
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https://api.github.com/repos/huggingface/transformers/issues/20214 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20214/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20214/comments | https://api.github.com/repos/huggingface/transformers/issues/20214/events | https://github.com/huggingface/transformers/pull/20214 | 1,448,408,777 | PR_kwDOCUB6oc5C22eO | 20,214 | Allow trainer to return eval. loss for CLIP-like models | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@sgugger Hopefully the change covers everything that could happen now and in the future."
] | 1,668 | 1,668 | 1,668 | COLLABORATOR | null | # What does this PR do?
Allow trainer to give **evaluation** loss for CLIP-like models.
Currently, this line
https://github.com/huggingface/transformers/blob/07d8d6e2f7a920d399e5e86a82d78179cdfa6746/src/transformers/trainer.py#L3192
gives `has_labels = False` for CLIP-like models, and can't give loss value in t... | {
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https://api.github.com/repos/huggingface/transformers/issues/20213 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20213/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20213/comments | https://api.github.com/repos/huggingface/transformers/issues/20213/events | https://github.com/huggingface/transformers/pull/20213 | 1,448,311,468 | PR_kwDOCUB6oc5C2hsM | 20,213 | Generate: add Bloom fixes for contrastive search | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_20213). All of your documentation changes will be reflected on that endpoint.",
"(rebasing to include #20200 in CI, the related test was failing)",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/doc... | 1,668 | 1,668 | 1,668 | MEMBER | null | # What does this PR do?
Bloom has a different cache format, where the batch size and the number of heads are packed in a single dimension. Contrastive search needs to manipulate the cache at the batch dimension, so naturally it fails.
This PR adds functionality to convert Bloom's cache back and forth between its ... | {
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https://api.github.com/repos/huggingface/transformers/issues/20212 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20212/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20212/comments | https://api.github.com/repos/huggingface/transformers/issues/20212/events | https://github.com/huggingface/transformers/issues/20212 | 1,448,292,974 | I_kwDOCUB6oc5WUzJu | 20,212 | The Document of Pipelines are not complete. | {
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"cc @Narsil ",
"Is this doc more helpful ?\r\n\r\nhttps://huggingface.co/docs/transformers/v4.24.0/en/main_classes/pipelines\r\n\r\nWe definitely need to update the docs for pipeline overall.\r\n\r\n",
"This doc still doesn't mention that results will be returned one by one (instead of in a batch) if I pass a d... | 1,668 | 1,672 | 1,672 | NONE | null | ### System Info
transformers 4.24.0
### Who can help?
@sgugger @stevhliu
### Information
- [X] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or dataset (give details bel... | {
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https://api.github.com/repos/huggingface/transformers/issues/20211 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20211/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20211/comments | https://api.github.com/repos/huggingface/transformers/issues/20211/events | https://github.com/huggingface/transformers/pull/20211 | 1,448,281,954 | PR_kwDOCUB6oc5C2bff | 20,211 | prepare for "__floordiv__ is deprecated and its behavior will change in a future version of pytorch" | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,668 | 1,677 | 1,677 | COLLABORATOR | null | # What does this PR do?
Should adress the `__floordiv__` warnings mentionned in #19934. Divinding torch tensor using `//` is no longer supported and has to be done via `torch.div`.
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https://api.github.com/repos/huggingface/transformers/issues/20210 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20210/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20210/comments | https://api.github.com/repos/huggingface/transformers/issues/20210/events | https://github.com/huggingface/transformers/pull/20210 | 1,448,278,845 | PR_kwDOCUB6oc5C2a1H | 20,210 | [DPR] fix unexpected "pooler" keys | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_20210). All of your documentation changes will be reflected on that endpoint."
] | 1,668 | 1,668 | 1,668 | COLLABORATOR | null | # What does this PR do?
Fixes #19111, by adding [r"pooler"] to the list of ignored unexpected keys for both the `DPRPretrainedContextEncoder` and `DPRPretrainedQuestionEncoder`. | {
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https://api.github.com/repos/huggingface/transformers/issues/20209 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20209/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20209/comments | https://api.github.com/repos/huggingface/transformers/issues/20209/events | https://github.com/huggingface/transformers/pull/20209 | 1,448,129,147 | PR_kwDOCUB6oc5C16JY | 20,209 | Add gpt-sw3 model to transformers | {
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"Hey! Feel free to ping me if you need any pointers! :) \r\n5seems like the history is a bit broken at this point `rebasing` with a force push should help. ",
"> Hey! Feel free to ping me if you need any pointers! :) 5seems like the history is a bit broken at this point `rebasing` with a force push should help.\r... | 1,668 | 1,671 | 1,670 | CONTRIBUTOR | null | This adds the gpt-sw3 models and tokenizer to hf. The models are developed by AI Sweden and others. They are gpt models trained from scratch with the nemo-megatron framework and will initially range in sizes from 128m to 20B. The models are multilingual and the languages in the models are English, Swedish, Norwegian, D... | {
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https://api.github.com/repos/huggingface/transformers/issues/20208 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20208/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20208/comments | https://api.github.com/repos/huggingface/transformers/issues/20208/events | https://github.com/huggingface/transformers/pull/20208 | 1,448,127,213 | PR_kwDOCUB6oc5C15uL | 20,208 | Generate: TF sample doctest result update | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_20208). All of your documentation changes will be reflected on that endpoint.",
"> But here do you mean some specific implementation differences in the generation method?\r\n\r\nNo, all differences are just at hardware lev... | 1,668 | 1,668 | 1,668 | MEMBER | null | # What does this PR do?
Updates sample's output to match the [expected output in CI](https://github.com/huggingface/transformers/actions/runs/3457499228/jobs/5770974732), which has a GPU.
(The previous output was for a CPU device -- sampling has different outputs for the same seed depending on the hardware, due ... | {
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https://api.github.com/repos/huggingface/transformers/issues/20207 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20207/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20207/comments | https://api.github.com/repos/huggingface/transformers/issues/20207/events | https://github.com/huggingface/transformers/issues/20207 | 1,448,098,663 | I_kwDOCUB6oc5WUDtn | 20,207 | Pipeline only returns the result of the first sample in a batch | {
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transformers 4.24.0
### Who can help?
@Nars
### Information
- [X] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or dataset (give details below)
### Reproduction
I just ... | {
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https://api.github.com/repos/huggingface/transformers/issues/20206 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20206/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20206/comments | https://api.github.com/repos/huggingface/transformers/issues/20206/events | https://github.com/huggingface/transformers/issues/20206 | 1,448,010,160 | I_kwDOCUB6oc5WTuGw | 20,206 | ONNX support for encoder/decoder separately | {
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"Might be of interest to @lewtun ",
"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 | 1,675 | 1,675 | NONE | null | ### Feature request
Hello, thanks for your work!
I am trying to leverage NVIDIA's TRITON inference server to speed up generation for Blenderbot model for production.
If I export the model in ONNX format, it exports the entire model whereas generative models go through a separate encoder->decoder cycles(if I unde... | {
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https://api.github.com/repos/huggingface/transformers/issues/20205 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20205/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20205/comments | https://api.github.com/repos/huggingface/transformers/issues/20205/events | https://github.com/huggingface/transformers/pull/20205 | 1,448,005,417 | PR_kwDOCUB6oc5C1e7e | 20,205 | Make size_dict conversion logs clearer | {
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"@sgugger @patrickvonplaten The quickest and easiest remedy I had was adding a `param_name` flag for the `get_size_dict` function. This way, if an image processor has both `size` and `crop_size` variables being updated, the logs reflect the parameter being changed. However, it's a bit of a dirty trick. LMK if you ... | 1,668 | 1,668 | 1,668 | COLLABORATOR | null | # What does this PR do?
* Tidies up logic for converting `size` parameter to the expected dictionary format for image processors.
* Adds `param_name` as a flag so logs reflect the variable being updated e.g. `crop_size` versus `size`
Address part of #20185 - trying to make the logs clearer.
## Before submit... | {
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https://api.github.com/repos/huggingface/transformers/issues/20204 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20204/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20204/comments | https://api.github.com/repos/huggingface/transformers/issues/20204/events | https://github.com/huggingface/transformers/pull/20204 | 1,447,964,530 | PR_kwDOCUB6oc5C1WEE | 20,204 | [MaskFormer] PoC of AutoBackbone API to support ResNet + Swin | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_20204). All of your documentation changes will be reflected on that endpoint.",
"Closing this PR as it has been added in smaller separate PRs.",
"Thanks again for splitting it, it was really better this way!"
] | 1,668 | 1,670 | 1,670 | CONTRIBUTOR | null | # What does this PR do?
This PR adds support for more backbones than just Swin for the MaskFormer framework. The MaskFormer authors released checkpoints that leverage either ResNet or Swin as backbones, however we currently only support Swin. To support various backbones, this PR introduces the AutoBackbone API.
... | {
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https://api.github.com/repos/huggingface/transformers/issues/20203 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20203/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20203/comments | https://api.github.com/repos/huggingface/transformers/issues/20203/events | https://github.com/huggingface/transformers/pull/20203 | 1,447,914,201 | PR_kwDOCUB6oc5C1K6l | 20,203 | update relative positional embedding | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_20203). 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_20203). All of your documentation changes will be re... | 1,668 | 1,668 | 1,668 | COLLABORATOR | null | # What does this PR do?
The current `relative_key` positional embedding is incorrect when `use_cache=True`. This was first highlighted in #19045.
Reproducing script :
```pyton
import torch
from transformers import BertTokenizer, BertLMHeadModel, set_seed
tokenizer = BertTokenizer.from_pretrained("zhiheng-hu... | {
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https://api.github.com/repos/huggingface/transformers/issues/20202 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20202/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20202/comments | https://api.github.com/repos/huggingface/transformers/issues/20202/events | https://github.com/huggingface/transformers/pull/20202 | 1,447,773,342 | PR_kwDOCUB6oc5C0sLq | 20,202 | Downgrade log warning -> info | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_20202). All of your documentation changes will be reflected on that endpoint.",
"Thank you! "
] | 1,668 | 1,668 | 1,668 | COLLABORATOR | null | # What does this PR do?
Downgrades the logged messages about the size parameter being converted from int/tuple -> dict from warning to info.
## Fixes
Addresses part of the issue raised in #20185 - where many downstream tasks would have multiple warning messages, potentially scaring the users and spamming thei... | {
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"Please use the [forums](https://discuss.huggingface.co/) to ask such questions as we keep issues for bugs and feature requests only.",
"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 ... | 1,668 | 1,671 | 1,671 | NONE | null | why the training args n_gpu is set to 1 when use Trainer's distributed training？
which means only one device is allowed in a node？
and the training parameters printed is calculated with the n_gpus=1.
I want to know what should i do when every node has multi gpus. | {
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https://api.github.com/repos/huggingface/transformers/issues/20200 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20200/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20200/comments | https://api.github.com/repos/huggingface/transformers/issues/20200/events | https://github.com/huggingface/transformers/pull/20200 | 1,447,695,354 | PR_kwDOCUB6oc5C0bS0 | 20,200 | mark `test_save_load_fast_init_from_base` as `is_flaky` | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"I guess the best first step is to run it 1000 times (in a loop) and see how many times it fails (before and after your PR 20042).\r\n\r\nSometimes it is difficult to get reproducible failure if it is flaky.",
"As I commented before... | 1,668 | 1,668 | 1,668 | COLLABORATOR | null | # What does this PR do?
Mark `test_save_load_fast_init_from_base` as `is_flaky`.
- This test is known to be flaky, see #19849
- The level of flakiness seems to get higher after #20042
- **ran 5 times, and all passed**.
- **TODO**: check why #20042 makes this test more flaky. | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_20199). All of your documentation changes will be reflected on that endpoint.",
"> Thanks a lot for drafting this! I think the `WIP` label is fine, it would avoid the issue getting closed by the stale-bot.\r\n\r\nOk, adding... | 1,668 | 1,668 | 1,668 | CONTRIBUTOR | null | # What does this PR do?
Makes the issue template for translation- `i18n.md` available. Thank you @omarespejel https://github.com/huggingface/transformers/pull/17004
Some questions:
- Would you prefer a `.yml` format for templates? I can convert it if you wish, @sgugger.
- What labels should be added to the issue?... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_20198). All of your documentation changes will be reflected on that endpoint.",
"> Could you add a corresponding test for this?\r\n\r\nAdded ... | 1,668 | 1,672 | 1,672 | CONTRIBUTOR | null | # What does this PR do?
- Fixes bug in `MaskFormerFeatureExtractor.compute_segments()` that causes an error when label_ids_to_fuse is set to None during instance and panoptic segmentation post-processing.
- Adds test to check if target labels are fused correctly
Fixes #20132
## Before submitting
- [X ] Wa... | {
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https://api.github.com/repos/huggingface/transformers/issues/20197 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20197/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20197/comments | https://api.github.com/repos/huggingface/transformers/issues/20197/events | https://github.com/huggingface/transformers/pull/20197 | 1,447,547,322 | PR_kwDOCUB6oc5Cz7wH | 20,197 | [docs] set overflowing image width to auto-scale | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_20197). All of your documentation changes will be reflected on that endpoint.",
"Thanks for fixing this, it looks good to me!\r\n@LysandreJik Do you mind double-checking?",
"The docs for this PR live [here](https://moon-c... | 1,668 | 1,668 | 1,668 | CONTRIBUTOR | null | # What does this PR do?
The image shown below overflowed on small screens. A simple inline-css to set the same width as its div solved the problem.
before | after
------- | -------
![Screenshot_20221115_032312_Chrome.jpg](https://user-images.githubusercontent.com/29195190/201737154-59876bf8-1d71-494f-a25f-015a0636... | {
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https://api.github.com/repos/huggingface/transformers/issues/20196 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20196/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20196/comments | https://api.github.com/repos/huggingface/transformers/issues/20196/events | https://github.com/huggingface/transformers/issues/20196 | 1,447,539,985 | I_kwDOCUB6oc5WR7UR | 20,196 | [docs] index page has overflowing image | {
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This can be fixed easily by adding `width=100%;` to the inline style.
Note: all current languages are affected. | {
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https://api.github.com/repos/huggingface/transformers/issues/20195 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20195/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20195/comments | https://api.github.com/repos/huggingface/transformers/issues/20195/events | https://github.com/huggingface/transformers/issues/20195 | 1,447,376,927 | I_kwDOCUB6oc5WRTgf | 20,195 | Wav2vec2 Pretraining issue | {
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"The script you are using probably requires a more recent version of Transformers. cc @sanchit-gandhi ",
"As @sgugger has mentioned, you can relax the pinning constraints on all your HF libraries and install them from their latest versions:\r\n```\r\n!pip install transformers datasets accelerate jiwer\r\n```\r\n\... | 1,668 | 1,668 | 1,668 | NONE | null | ### System Info
```shell
transformers version-4.11.3
```
### 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)
### Reproduction
https://col... | {
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https://api.github.com/repos/huggingface/transformers/issues/20194 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20194/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20194/comments | https://api.github.com/repos/huggingface/transformers/issues/20194/events | https://github.com/huggingface/transformers/issues/20194 | 1,447,114,926 | I_kwDOCUB6oc5WQTiu | 20,194 | Spelling Error in Testing Documentation - "checkt" -> "check" | {
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"Thanks for reporting, would you like to open a PR to fix this typo?",
"@sgugger sure I can open a PR to fix this type."
] | 1,668 | 1,668 | 1,668 | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.24.0.dev0
- Platform: Linux-5.10.102.1-microsoft-standard-WSL2-x86_64-with-glibc2.17
- Python version: 3.8.13
- Huggingface_hub version: 0.10.1
- PyTorch version (GPU?): 1.12.1+cu102 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?)... | {
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https://api.github.com/repos/huggingface/transformers/issues/20193 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20193/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20193/comments | https://api.github.com/repos/huggingface/transformers/issues/20193/events | https://github.com/huggingface/transformers/issues/20193 | 1,447,043,518 | I_kwDOCUB6oc5WQCG- | 20,193 | Urgent! Weird behavior of CLIPTokenizer when encoding out of vocabulary /non-English text with openai/clip-vit-base-patch32, and question about merges.txt. | {
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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 | 1,671 | 1,671 | NONE | null | ### System Info
**Environment is Google colab**
- `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: 0.10.1
- PyTorch version (GPU?): 1.12.1+cu113 (False)
- Tensorflow version (GPU?): 2.9.2 (False)
- Flax version (CPU?... | {
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https://api.github.com/repos/huggingface/transformers/issues/20192 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20192/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20192/comments | https://api.github.com/repos/huggingface/transformers/issues/20192/events | https://github.com/huggingface/transformers/pull/20192 | 1,447,017,668 | PR_kwDOCUB6oc5CyKDe | 20,192 | Typo on doctring in ElectraTokenizer | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_20192). All of your documentation changes will be reflected on that endpoint.",
"Thank you for the guide when I was confused with the copy check. 😊\r\nI add the part `,BERT->Electra` you said.",
"The docs for this PR liv... | 1,668 | 1,668 | 1,668 | CONTRIBUTOR | null | # What does this PR do?
Typo on docstring in [ElectraTokenizer](https://github.com/huggingface/transformers/blob/6cc06d17394f5715cdf2d13a1ef7680bedaee9e2/src/transformers/models/electra/tokenization_electra.py#L93).
This should be modified from **Bert** to **Electra** for readability.
<!--
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https://api.github.com/repos/huggingface/transformers/issues/20191 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20191/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20191/comments | https://api.github.com/repos/huggingface/transformers/issues/20191/events | https://github.com/huggingface/transformers/pull/20191 | 1,446,998,406 | PR_kwDOCUB6oc5CyGKv | 20,191 | fix convert longformer to onnx bug | {
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"@deutschmn ",
"_The documentation is not available anymore as the PR was closed or merged._",
"cc @lewtun ",
"As far as I know, Longformer, like RoBERTa, doesn't use token_type_ids see #9111 and https://huggingface.co/docs/transformers/model_doc/longformer",
"This issue has been automatically marked as sta... | 1,668 | 1,677 | 1,677 | CONTRIBUTOR | null | class `LongformerOnnxConfig`
property `inputs`
miss one input `"token_type_ids"`
```shell
# before fix : onnx input node
name: "token_type_ids"
type {
tensor_type {
elem_type: 7
shape {
dim {
dim_value: 2
}
dim {
dim_value: 8
}
}
}
}
# aft... | {
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https://api.github.com/repos/huggingface/transformers/issues/20190 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20190/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20190/comments | https://api.github.com/repos/huggingface/transformers/issues/20190/events | https://github.com/huggingface/transformers/pull/20190 | 1,446,946,119 | PR_kwDOCUB6oc5Cx7kv | 20,190 | Add clip resources to the transformers documentation | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_20190). 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_20190). All of your documentation changes will be re... | 1,668 | 1,668 | 1,668 | CONTRIBUTOR | null | # What does this PR do?
<!-- Remove if not applicable -->
Fixes #20055 (partially)
## Before submitting
- [x] This PR improves the docs of CLIP by adding common and most used resources
- [x] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md#sta... | {
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"@amiralikaboli Can you try setting `TOKENIZERS_PARALLELISM=0` before calling your script ?\r\n\r\nYou might be triggerring: https://github.com/huggingface/transformers/issues/5486\r\n\r\nBasically `tokenizers` does parallelism by default, but it can be messed up by other sources of parallelism, most cases are hand... | 1,668 | 1,673 | 1,673 | NONE | null | ### System Info
- `transformers` version: 4.22.2
- Platform: Linux-5.15.0-52-generic-x86_64-with-glibc2.35
- Python version: 3.8.15
- Huggingface_hub version: 0.10.0
- PyTorch version (GPU?): 1.7.1 (False)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Ja... | {
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https://api.github.com/repos/huggingface/transformers/issues/20188 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20188/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20188/comments | https://api.github.com/repos/huggingface/transformers/issues/20188/events | https://github.com/huggingface/transformers/pull/20188 | 1,446,867,210 | PR_kwDOCUB6oc5CxrOD | 20,188 | Fix a typo in examples/pytorch/translation/README.md | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_20188). All of your documentation changes will be reflected on that endpoint."
] | 1,668 | 1,679 | 1,668 | CONTRIBUTOR | null | # What does this PR do?
There is typo in the original hyperlink.
Below is the original version:
```markdown
Based on the script [`run_translation_no_trainer.py`] (https://github.com/huggingface/transformers/blob/main/examples/pytorch/translation/ **run_translationn_no_trainer.py**)
```
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https://api.github.com/repos/huggingface/transformers/issues/20187 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20187/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20187/comments | https://api.github.com/repos/huggingface/transformers/issues/20187/events | https://github.com/huggingface/transformers/issues/20187 | 1,446,777,217 | I_kwDOCUB6oc5WPBGB | 20,187 | How to train my own dataset? | {
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"You could start by checking out the [course](https://huggingface.co/course/chapter1/1). Also please use the [forums](https://discuss.huggingface.co/) for questions like this, since we keep features for bugs and feature requests only.\r\n\r\nYou could start by checking out the [course](https://huggingface.co/course... | 1,668 | 1,668 | 1,668 | NONE | null | ### Feature request
Could you privide a tutorial for training the whole model using my own dataset? I am a new learner and very confused. Thanks!
### Motivation
Could you privide a tutorial for training the whole model using my own dataset? I am a new learner and very confused. Thanks!
### Your contribution
Could ... | {
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https://api.github.com/repos/huggingface/transformers/issues/20186 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20186/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20186/comments | https://api.github.com/repos/huggingface/transformers/issues/20186/events | https://github.com/huggingface/transformers/issues/20186 | 1,446,732,120 | I_kwDOCUB6oc5WO2FY | 20,186 | Weird bugs when using ```run_image_classification.py``` | {
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"Hi,\r\n\r\nCould you check whether [this part of the code](https://github.com/huggingface/transformers/blob/2308f3d42cff281cecee413f97f19044f54636d7/examples/pytorch/image-classification/run_image_classification.py#L231-L241) runs fine?",
"This issue has been automatically marked as stale because it has not had ... | 1,668 | 1,671 | 1,671 | NONE | null | ### System Info
Dear authors,
Thanks for your great work. I had a small dataset as I share with you here: https://drive.google.com/drive/folders/1-GAFdH0S16SlYXPdOwDmqijCrpIeeLbm?usp=sharing.
When I trained a ViT for image classification from ```run_image_classification.py```, my command as I attached:
```
!CU... | {
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https://api.github.com/repos/huggingface/transformers/issues/20185 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20185/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20185/comments | https://api.github.com/repos/huggingface/transformers/issues/20185/events | https://github.com/huggingface/transformers/issues/20185 | 1,446,613,943 | I_kwDOCUB6oc5WOZO3 | 20,185 | Difficult to understand warning | {
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"Updating the config online would make them incompatible with previous versions of Transformers so that's not a possibility. I'm fine with downgrading the warnings to infos.",
"I wonder why that warning is being printed twice, one time for \"shortest_edge\" and one time for \"height, width\"\r\n",
"I'll open a ... | 1,668 | 1,668 | 1,668 | MEMBER | null | ### System Info
- `transformers` version: 4.25.0.dev0
- Platform: Linux-5.18.10-76051810-generic-x86_64-with-glibc2.34
- Python version: 3.9.7
- Huggingface_hub version: 0.11.0.dev0
- PyTorch version (GPU?): 1.11.0+cpu (False)
- Tensorflow version (GPU?): 2.9.1 (False)
- Flax version (CPU?/GPU?/TPU?): 0.6.0 (cpu... | {
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