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https://api.github.com/repos/huggingface/transformers/issues/20985 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20985/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20985/comments | https://api.github.com/repos/huggingface/transformers/issues/20985/events | https://github.com/huggingface/transformers/pull/20985 | 1,517,540,244 | PR_kwDOCUB6oc5GjHWL | 20,985 | Added mask_time_prob and mask_time_length arguments to wav2vec2 pretraining script | {
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"@sanchit-gandhi "
] | 1,672 | 1,672 | 1,672 | CONTRIBUTOR | null | This PR relates to [PR 19997](https://github.com/huggingface/transformers/pull/19997), in which I messed up the PR by forgetting the --force flag when pushing. Hopefully this PR is correctly performed.
@sanchit-gandhi @sgugger @patrickvonplaten | {
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] | 1,672 | 1,672 | 1,672 | CONTRIBUTOR | null | # What does this PR do?
Fixes #17265
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md#start-contributing-pull-requests... | {
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"cc @alaradirik this PR is in a ready state, except for 2 things:\r\n\r\n- [x] whether or not we leverage torchvision's `batched_nms` => the CI is currently failing because this library is not installed. Will also ask for @sgugger and @LysandreJik's opinion here\r\n- [ ] the `post_process_object_detection` method m... | 1,672 | 1,675 | 1,675 | CONTRIBUTOR | null | # What does this PR do?
This PR adds [DETA](https://github.com/jozhang97/DETA/issues/3). DETA is a slight change to Deformable DETR by using traditional IoU-based assignment as opposed to the Hungarian matching used in the original DETR, and incorporating NMS (non-maximum suppression) in the postprocessing.
Note:... | {
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] | 1,672 | 1,672 | 1,672 | COLLABORATOR | null | # What does this PR do?
[WIP] Avoid Null CI | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_20981). All of your documentation changes will be reflected on that endpoint.",
"@ydshieh Unfortunately, I encountered the problem you menti... | 1,672 | 1,692 | 1,672 | COLLABORATOR | null | # What does this PR do?
Sometimes the tests will run in the CircleCI of the user and not run our tests since they don't have access to our resources. One example is on [this PR](https://github.com/huggingface/transformers/pull/20479#issuecomment-1369690668) where the "real" tests were not run.
**We can make the n... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,672 | 1,672 | 1,672 | CONTRIBUTOR | null | # What does this PR do?
- Adds post_process_object_detection method to OWL-ViT with the same functionality as other object detection post-processing methods (thresholding, different target sizes for each image in the batch).
- Updates the zero-shot-object-detection pipeline to use the new method
## Before submitti... | {
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- Adds post_process_object_detection method to OWL-ViT with the same functionality as other object detection post-processing methods (thresholding, different target sizes for each image in the batch).
- Updates the zero-shot-object-detection pipeline to use the new method
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_20978). 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... | 1,672 | 1,676 | 1,676 | NONE | null | There's a bug in the code that, we've got `accelerator.use_fp16` but the accelerator.use_fp16 flag can never be `True` because we didn't pass it in. I've added the support by passing in the fp16 flag.
# What does this PR do?
<!--
Congratulations! You've made it this far! You're not quite done yet though.
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,672 | 1,672 | 1,672 | CONTRIBUTOR | null | # What does this PR do?
Fixes the descriptions of all effected model methods (post_process_object_detection and deprecated post_process methods) that inaccurately state the methods returns bounding boxes in the format expected by the COCO API (x_center, y_center, w, h) format instead of the (x1, y1, x2, y2) format.
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"_The documentation is not available anymore as the PR was closed or merged._",
"Hi @ArthurZucker, do you have some time to review this PR? Thanks!"
] | 1,672 | 1,675 | 1,675 | CONTRIBUTOR | null | # What does this PR do?
The `<unk>` token has an incorrect ID in `M2M100Tokenizer.get_vocab`:
```python
>>> tokenizer = transformers.M2M100Tokenizer.from_pretrained("facebook/m2m100_418M")
>>> tokenizer.convert_tokens_to_ids("<unk>")
3
>>> tokenizer.get_vocab()["<unk>"]
128111
```
The reason is the vocab... | {
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Fix bug in `feature_extraction_detr.py` compute_segments function: make sure the shape is integer (it could be float)
If the shape is float, there will be an error message:
```
zeros() received an invalid combination of arguments - got (tuple, device=torch.device, dtype=torch.dtype), but... | {
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"@sgugger Could you please review this PR? Thanks!",
"_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 n... | 1,672 | 1,675 | 1,675 | 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/20973 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20973/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20973/comments | https://api.github.com/repos/huggingface/transformers/issues/20973/events | https://github.com/huggingface/transformers/issues/20973 | 1,517,043,249 | I_kwDOCUB6oc5abD4x | 20,973 | Pipeline to support batch inference | {
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"cc @Narsil ",
"Hi @maiiabocharova doesn't this work already out of the box? \r\n\r\n```python\r\nimport torch\r\nfrom transformers import pipeline\r\n\r\npipe = pipeline(\r\n \"ner\",\r\n device=0 if torch.cuda.is_available() else -1,\r\n aggregation_strategy=\"average\",\r\n batch_size=16,\r\n)\r\n\... | 1,672 | 1,673 | 1,673 | NONE | null | ### Feature request
Thank you for the awesome framework!
For my work I wanted to use `transformers.pipelines.token_classification.TokenClassificationPipeline` in batch mode, since it is much faster on GPU, but I wanted to keep all the functionality for grouping entities.
So I want to suggest something like this:
``... | {
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https://api.github.com/repos/huggingface/transformers/issues/20972 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20972/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20972/comments | https://api.github.com/repos/huggingface/transformers/issues/20972/events | https://github.com/huggingface/transformers/issues/20972 | 1,516,971,279 | I_kwDOCUB6oc5aayUP | 20,972 | Some issues on summarization example | {
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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... | 1,672 | 1,676 | 1,676 | NONE | null | @patil-suraj
Thanks for the beautiful example in `main/examples/pytorch/summarization`. I do, however, have the following issues with the `run_summarization_no_trainer.py` file.
1. The flag `--max_length` seems not used.
2. The checking `check_min_version("4.26.0.dev0")` seems ahead of the current release of `4.25... | {
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https://api.github.com/repos/huggingface/transformers/issues/20971 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20971/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20971/comments | https://api.github.com/repos/huggingface/transformers/issues/20971/events | https://github.com/huggingface/transformers/pull/20971 | 1,516,966,171 | PR_kwDOCUB6oc5GhL2L | 20,971 | [run_clm example] add torch_dtype option for model load. | {
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"@yao-matrix @jiqing-feng @sgugger please help to review",
"_The documentation is not available anymore as the PR was closed or merged._",
"@sgugger done, add other torch dtypes per review comment"
] | 1,672 | 1,673 | 1,672 | CONTRIBUTOR | null | for BLOOM 175B model. peak memory will reduce about 350G for inference. the weight of BLOOM in model hub is bfloat16
Signed-off-by: Wang, Yi A <yi.a.wang@intel.com>
# What does this PR do?
reduce the peak memory for BLOOM inference.
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you ... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"> Thanks for your PR. Could you just run `make style` on your branch to fix the quality issue?\r\n\r\nHi @sgugger, thanks for the quick approval. Just fixed the code style",
"Thanks again for your contribution!"
] | 1,672 | 1,673 | 1,673 | CONTRIBUTOR | null | # What does this PR do?
It simply moves the attention_head_size in the distilbert model to be an object attribute. This is necessary if you want to use the Distilbert model in the nn_pruning library. It will also benefit anyone who ever needs to access the attention_head_size attribute from an instance of a Distilbe... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Hi @sgugger :) I modified the docstring, as you suggested. Can you please have a look? 🙏",
"Code looks good but it seems there is an issue with your CircleCI permissions, the tests won't run.\r\nCould you try refreshing your permi... | 1,672 | 1,673 | 1,673 | CONTRIBUTOR | null | # What does this PR do?
Support turning off the model uploading in ClearML using an environment variable called `CLEARML_LOG_MODEL`
Fixes #20889
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [ ] Did you read the [contributor g... | {
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"@sgugger Sorry for not having put my PR in draft and thank you so much for your comments! \r\n\r\nI'll take them into account, keep working on this, and ping you back when I have cleaner code?",
"No worries at all, and yes!",
"@sgugger I think the code is better now, if you want to take a look.\r\n\r\nI have s... | 1,672 | 1,675 | 1,674 | MEMBER | null | # What does this PR do?
Adds the Graphormer model for graph classification in Transformers.
Done:
- [x] Architecture ported
- [x] Collator (the model has no tokenizer) and preprocessing
- [x] Test results against original implementation, to make sure they are within precision range. Edit: exactly same results... | {
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] | 1,672 | 1,673 | 1,673 | COLLABORATOR | null | # What does this PR do?
I tried to launch Past CI (the 2nd round) after #20861, but there are some more fixes required: Past CI images don't install other dependencies, and we need more decorators to skip some tests if they are not installed. | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,672 | 1,684 | 1,673 | MEMBER | null | # What does this PR do?
Fixes #20954 -- some handling for dynamic shapes was missing on Wave2Vec/Hubert | {
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] | 1,672 | 1,684 | 1,672 | MEMBER | null | # What does this PR do?
Starts off the year with my favorite task: deleting unused code 🥳 The deleted private function (`_reorder_cache`) is no longer used due to the removal on non-XLA-compatible generate functions (#20927) | {
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Hi!
Let's bring the documentation to all the <languageName>-speaking community 🌐 (currently 0 out of 267 complete)
Who would want to translate? Please follow the 🤗 [TRANSLATING guide](https://github.com/hug... | {
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https://api.github.com/repos/huggingface/transformers/issues/20962 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20962/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20962/comments | https://api.github.com/repos/huggingface/transformers/issues/20962/events | https://github.com/huggingface/transformers/issues/20962 | 1,516,214,173 | I_kwDOCUB6oc5aX5ed | 20,962 | Graphormer | {
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"Hi, @clefourrier \r\ncan I contribute to this? also open to any other issue \r\nI have previously contributed to PyTorch (350+ lines of C++, Objective C, and Python)",
"Hi @Raman-Kumar, I'd be delighted to have some help! \r\n\r\nI'll try to wrap up what I have and clean up a bit by Friday, and either I'll need... | 1,672 | 1,675 | 1,675 | MEMBER | null | ### Model description
Graph Transformer model developed by Microsoft.
https://graphormer.readthedocs.io/en/latest/
### Open source status
- [X] The model implementation is available
- [X] The model weights are available
### Provide useful links for the implementation
Full implementation: https://github.com/micr... | {
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https://api.github.com/repos/huggingface/transformers/issues/20961 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20961/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20961/comments | https://api.github.com/repos/huggingface/transformers/issues/20961/events | https://github.com/huggingface/transformers/issues/20961 | 1,516,130,480 | I_kwDOCUB6oc5aXlCw | 20,961 | Add Transformer-Transducer: A Streamable Speech Recognition Model with Transformer Encoders and RNN-T Loss | {
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"Hey @jp1924! Thanks for opening this new model request. The Transformer-Transducer is indeed an exciting architecture in speech recognition - one that achieves both strong performance and low latency.\r\n\r\nMy hesitations in adding this model stem from the fact that the weights are not open-sourced. It's very rar... | 1,672 | 1,676 | 1,676 | NONE | null | ### Model description
paper: [Transformer Transducer: A Streamable Speech Recognition Model with Transformer Encoders and RNN-T Loss](https://arxiv.org/abs/2002.02562)
- Transformer-Transducer is a an End2End-based ASR streaming model that converts spoken speech into text in real time.
- model that implements RN... | {
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https://api.github.com/repos/huggingface/transformers/issues/20960 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20960/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20960/comments | https://api.github.com/repos/huggingface/transformers/issues/20960/events | https://github.com/huggingface/transformers/issues/20960 | 1,516,067,170 | I_kwDOCUB6oc5aXVli | 20,960 | There should partial forward in pretrained BERT and RoBERTa models | {
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"Each of those models is defined in its own modeling file that you can modify to suit your needs. This is why we have a one file per model policy in Transformers :-)",
"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 co... | 1,672 | 1,676 | 1,676 | NONE | null | ### Feature request
There should be a way to to send inputs to specific encoder layers and finish the forward partially.
For example, there should be a way to send input hidden states to the fourth encoder layer, and get all hidden states after that through forward computation.
### Motivation
This kind of th... | {
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https://api.github.com/repos/huggingface/transformers/issues/20959 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20959/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20959/comments | https://api.github.com/repos/huggingface/transformers/issues/20959/events | https://github.com/huggingface/transformers/pull/20959 | 1,515,517,453 | PR_kwDOCUB6oc5GcQ3l | 20,959 | auxiliary_loss works for Deformable Detr | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,672 | 1,672 | 1,672 | CONTRIBUTOR | null | # What does this PR do?
DeformableDetr does not work when auxiliary_loss=True.
Since Deformable Detr has list of class_embed, bbox_embed, this code will raise NotImplementedError.
```python
intermediate = outputs.intermediate_hidden_states if return_dict else outputs[4]
outputs_clas... | {
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https://api.github.com/repos/huggingface/transformers/issues/20958 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20958/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20958/comments | https://api.github.com/repos/huggingface/transformers/issues/20958/events | https://github.com/huggingface/transformers/pull/20958 | 1,515,508,895 | PR_kwDOCUB6oc5GcO6L | 20,958 | Fix valid ratio for Deformable Detr | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"cc @NielsRogge and @amyeroberts "
] | 1,672 | 1,672 | 1,672 | CONTRIBUTOR | null | # What does this PR do?
I encountered unexpected behavior that single-batch image and multi-batch image return significantly different output.
I found that its reason is from function `get_valid_ratio`, which returns ratio of image size for each example from batch (which is padded for longest width and height in ba... | {
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https://api.github.com/repos/huggingface/transformers/issues/20957 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20957/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20957/comments | https://api.github.com/repos/huggingface/transformers/issues/20957/events | https://github.com/huggingface/transformers/pull/20957 | 1,515,381,313 | PR_kwDOCUB6oc5Gbxr2 | 20,957 | Fix T5 docstring | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,672 | 1,672 | 1,672 | CONTRIBUTOR | null | # What does this PR do?
Fix docstring for `T5Stack` 's `deparallelize` method :
`PARALLELIZE_DOCSTRING` -> `DEPARALLELIZE_DOCSTRING`
## 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... | {
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https://api.github.com/repos/huggingface/transformers/issues/20956 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20956/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20956/comments | https://api.github.com/repos/huggingface/transformers/issues/20956/events | https://github.com/huggingface/transformers/pull/20956 | 1,515,104,014 | PR_kwDOCUB6oc5Ga31J | 20,956 | [docs] improve issue template for i18n | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_20956). 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... | 1,672 | 1,675 | 1,675 | CONTRIBUTOR | null | # What does this PR do?
The initial issue template (https://github.com/huggingface/transformers/pull/20199) includes minor typos and a closed PR link.
It makes it seem that the index page of a new language is already translated when it isn't.
Also some comment regarding what `langCode` or `langName` is would be helpfu... | {
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https://api.github.com/repos/huggingface/transformers/issues/20955 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20955/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20955/comments | https://api.github.com/repos/huggingface/transformers/issues/20955/events | https://github.com/huggingface/transformers/issues/20955 | 1,515,103,074 | I_kwDOCUB6oc5aTqNi | 20,955 | Typos and minor changes needed for i18n issue template | {
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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... | 1,672 | 1,675 | 1,675 | CONTRIBUTOR | null | The initial issue template (https://github.com/huggingface/transformers/pull/20199) includes minor typos and a closed PR link.
It makes it seem that the index page of a new language is already translated when it isn't.
Also some comment regarding what `langCode` or `langName` is would be helpful.
[ ] Fix typos.
[... | {
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https://api.github.com/repos/huggingface/transformers/issues/20954 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20954/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20954/comments | https://api.github.com/repos/huggingface/transformers/issues/20954/events | https://github.com/huggingface/transformers/issues/20954 | 1,514,949,116 | I_kwDOCUB6oc5aTEn8 | 20,954 | Can't Save TFHubertForCTC as Saved_model | {
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"Hey @ahmedlone127 👋 I was able to reproduce locally on the latest version, will look into its causes!",
"@ahmedlone127: #20966 should fix it after it is merged 🤗\r\n\r\nTwo notes:\r\n1 - You would have to install `transformers` from git (`pip install https://github.com/huggingface/transformers`)\r\n2 - Your ex... | 1,672 | 1,673 | 1,673 | NONE | null | ### System Info
- `transformers` version: 4.25.1
- Platform: Linux-5.10.133+-x86_64-with-glibc2.27
- Python version: 3.8.16
- Huggingface_hub version: 0.11.1
- PyTorch version (GPU?): 1.13.0+cu116 (True)
- Tensorflow version (GPU?): 2.9.2 (True)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version:... | {
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https://api.github.com/repos/huggingface/transformers/issues/20953 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20953/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20953/comments | https://api.github.com/repos/huggingface/transformers/issues/20953/events | https://github.com/huggingface/transformers/issues/20953 | 1,514,858,201 | I_kwDOCUB6oc5aSubZ | 20,953 | Add whisper converter for hf -> openai | {
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"👋 @ArthurZucker, who created the conversion script\r\n ",
"Hey! I am not entirely sure if we should have this in our repo or just link it in the readme, but I think a contributor already wrote a script so pinging @bayartsogt-ya here.",
"For visibility, whisper.cpp provides conversion from HF models into their... | 1,672 | 1,675 | 1,675 | NONE | null | ### Feature request
The inference pipeline in openai whisper has a couple of heuristics that aren't all covered in https://github.com/huggingface/transformers. Therefore, some users would like to fine-tune in huggingface and convert the model back to its original configuration.
https://github.com/huggingface/transf... | {
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https://api.github.com/repos/huggingface/transformers/issues/20952 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20952/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20952/comments | https://api.github.com/repos/huggingface/transformers/issues/20952/events | https://github.com/huggingface/transformers/pull/20952 | 1,514,760,002 | PR_kwDOCUB6oc5GZuR8 | 20,952 | Add generate kwargs to `AutomaticSpeechRecognitionPipeline` | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thanks for this modificaiton. @sgugger for final review"
] | 1,672 | 1,672 | 1,672 | 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/20951 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20951/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20951/comments | https://api.github.com/repos/huggingface/transformers/issues/20951/events | https://github.com/huggingface/transformers/pull/20951 | 1,514,731,540 | PR_kwDOCUB6oc5GZn0v | 20,951 | [trainer: `distributed_concat`] ensure `all_gather`'s inputs are contiguous | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,672 | 1,672 | 1,672 | CONTRIBUTOR | null | This PR fixes https://github.com/huggingface/transformers/issues/20942 where a user's code results in a non-contiguous tensor being passed to `all_gather` which fails with:
```
Traceback (most recent call last):
File "contiguous.py", line 83, in <module>
preds = torch.tensor(trainer.predict(eval_dataset)[0]... | {
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https://api.github.com/repos/huggingface/transformers/issues/20950 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20950/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20950/comments | https://api.github.com/repos/huggingface/transformers/issues/20950/events | https://github.com/huggingface/transformers/issues/20950 | 1,514,713,135 | I_kwDOCUB6oc5aSLAv | 20,950 | Mask dimension expansion might be wrong | {
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"cc @ArthurZucker ",
"Hey! Do you happen to have found an error or any discrepancy ? I am not very familiar with this model but if you have a reproduction script or something to help me work on this, would be appreciated! ",
"This issue has been automatically marked as stale because it has not had recent activi... | 1,672 | 1,676 | 1,676 | NONE | null | https://github.com/huggingface/transformers/blob/17292440c069118fbdb992b9a17da2098fab5b87/src/transformers/models/reformer/modeling_reformer.py#L845
I feel that the way mask is expanded here might be wrong. More specifically, I feel that mask need to be repeated by the number hashes and splited into chunks before ru... | {
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https://api.github.com/repos/huggingface/transformers/issues/20949 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20949/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20949/comments | https://api.github.com/repos/huggingface/transformers/issues/20949/events | https://github.com/huggingface/transformers/pull/20949 | 1,514,708,206 | PR_kwDOCUB6oc5GZikm | 20,949 | Remove T5 dependency from mT5 model | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@sgugger, I have made your suggested changes, please take a look. Thanks,",
"Thanks! You'll just need to add `MT5Stack` in [this list](https://github.com/huggingface/transformers/blob/56397471b454e8707b7865cfba0130f04a889592/utils/... | 1,672 | 1,672 | 1,672 | CONTRIBUTOR | null | # What does this PR do?
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,672 | 1,681 | 1,674 | CONTRIBUTOR | null | # What does this PR do?
Translated the `installation.mdx` file of the documentation to Korean.
Thank you in advance for your review.
<!-- Remove if not applicable -->
Part of https://github.com/huggingface/transformers/issues/20179
## Before submitting
- [x] This PR fixes a typo or improves the docs (y... | {
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https://api.github.com/repos/huggingface/transformers/issues/20947 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20947/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20947/comments | https://api.github.com/repos/huggingface/transformers/issues/20947/events | https://github.com/huggingface/transformers/issues/20947 | 1,514,497,757 | I_kwDOCUB6oc5aRWbd | 20,947 | `tf2` BERT checkpoint to `pytorch_model.bin` (with MLM head) | {
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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.\r\n\r\nNote that we do not provide conversion scripts to convert checkpoints obtained with other libraries, the ones exposed are to convert the checkpoints from their original implement... | 1,672 | 1,676 | 1,672 | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.25.1
- Platform: Windows-10-10.0.19044-SP0
- Python version: 3.9.5
- Huggingface_hub version: 0.11.1
- PyTorch version (GPU?): 1.13.0+cpu (False)
- Tensorflow version (GPU?): 2.10.0 (False)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not insta... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thank you so much for your review @sgugger and especially @ArthurZucker for your awesome proof-read! I have commited your suggestion. Although it is a bit late, happy lunar new year everyone! 🐇 🌕 ",
"Happy new year! 🐰 "
] | 1,672 | 1,674 | 1,674 | CONTRIBUTOR | null | # What does this PR do?
Translated the `Quicktour.mdx` file of the documentation to Korean.
Thank you in advance for your review.
<!-- Remove if not applicable -->
Part of https://github.com/huggingface/transformers/issues/20179
## Before submitting
- [x] This PR fixes a typo or improves the docs (you ... | {
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https://api.github.com/repos/huggingface/transformers/issues/20945 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20945/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20945/comments | https://api.github.com/repos/huggingface/transformers/issues/20945/events | https://github.com/huggingface/transformers/pull/20945 | 1,514,317,248 | PR_kwDOCUB6oc5GYOg9 | 20,945 | Fixing DistilBert error message | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,672 | 1,672 | 1,672 | CONTRIBUTOR | null | # What does this PR do?
Distilbert fix from [this thread](https://github.com/huggingface/transformers/pull/20933/commits/6f0282dd13d646b0f58d99a0c19377646efc2d55#r1059242097)
## 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 y... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Ok the failing tests were because I did not pull from main, were the `tf_utils` now uses the `generate_config`. LGTM the failing test seems to be unrelated",
"Yes, good to merge for me!"
] | 1,672 | 1,673 | 1,673 | COLLABORATOR | null | # What does this PR do?
The argument `past` was completely replaced with `past_key_values` thus this PR should fix any problem with `kwargs` being swallowed for old models in generation.
Related to #20347 | {
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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... | 1,672 | 1,675 | 1,675 | NONE | null | ### System Info
A minor thing...
The type of the `TrainerArgs` `report_to` argument is defined here: https://github.com/huggingface/transformers/blob/main/src/transformers/training_args.py#L901 as `Optional[List[str]]`, but the [docstring](https://github.com/huggingface/transformers/blob/main/src/transformers/trainin... | {
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https://api.github.com/repos/huggingface/transformers/issues/20942 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20942/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20942/comments | https://api.github.com/repos/huggingface/transformers/issues/20942/events | https://github.com/huggingface/transformers/issues/20942 | 1,514,100,078 | I_kwDOCUB6oc5aP1Vu | 20,942 | `RuntimeError: tensors must be contiguous` when predicting GPTJForClassification trainer | {
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"Trying to run your example, @Dahoas, I get:\r\n```\r\nTraceback (most recent call last):\r\n File \"contiguous.py\", line 8, in <module>\r\n from rm_datasets import PairwiseDataset, PairwiseEvalDataset, pairwise_data_collator\r\nModuleNotFoundError: No module named 'rm_datasets'\r\n```\r\n\r\nfixed that by rem... | 1,672 | 1,672 | 1,672 | NONE | null | ### System Info
- `transformers` version: 4.21.2
- Platform: Linux-5.15.0-1023-aws-x86_64-with-glibc2.29
- Python version: 3.8.10
- 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 installed (NA)
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_20941). All of your documentation changes will be reflected on that endpoint."
] | 1,672 | 1,672 | 1,672 | NONE | 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/20940 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20940/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20940/comments | https://api.github.com/repos/huggingface/transformers/issues/20940/events | https://github.com/huggingface/transformers/pull/20940 | 1,513,909,311 | PR_kwDOCUB6oc5GW4oS | 20,940 | Update run_wav2vec2_pretraining_no_trainer.py | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_20940). 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... | 1,672 | 1,675 | 1,675 | NONE | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/20939 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20939/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20939/comments | https://api.github.com/repos/huggingface/transformers/issues/20939/events | https://github.com/huggingface/transformers/pull/20939 | 1,513,879,371 | PR_kwDOCUB6oc5GWyOZ | 20,939 | Add X-MOD | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"This PR is now ready for review.\r\n\r\nUploaded models:\r\n- https://huggingface.co/jvamvas/xmod-base\r\n- https://huggingface.co/jvamvas/xmod-large-prenorm\r\n- https://huggingface.co/jvamvas/xmod-base-13-125k\r\n- https://huggingf... | 1,672 | 1,676 | 1,676 | CONTRIBUTOR | null | Add the X-MOD models released with the paper [Lifting the Curse of Multilinguality by Pre-training Modular Transformers](http://dx.doi.org/10.18653/v1/2022.naacl-main.255).
## Implementation notes
- There are nine pre-trained models released in the fairseq repo: https://github.com/facebookresearch/fairseq/tree/main... | {
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https://api.github.com/repos/huggingface/transformers/issues/20938 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20938/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20938/comments | https://api.github.com/repos/huggingface/transformers/issues/20938/events | https://github.com/huggingface/transformers/pull/20938 | 1,513,686,989 | PR_kwDOCUB6oc5GWJJj | 20,938 | fix levit timm conversion file | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thanks again for your contribution!"
] | 1,672 | 1,673 | 1,673 | CONTRIBUTOR | null | # What does this PR do?
Fixes conversion file `convert_levit_timm_to_pytorch.py` for levit
Fixes # (issue)
https://github.com/huggingface/transformers/issues/20937
## Who can review?
@NielsRogge
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https://api.github.com/repos/huggingface/transformers/issues/20937 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20937/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20937/comments | https://api.github.com/repos/huggingface/transformers/issues/20937/events | https://github.com/huggingface/transformers/issues/20937 | 1,513,686,798 | I_kwDOCUB6oc5aOQcO | 20,937 | Levit conversion file argparser bug | {
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"Closing since fix was merged."
] | 1,672 | 1,673 | 1,673 | CONTRIBUTOR | null | ### Who can help?
@NielsRogge
### Reproduction
In the conversion file for the `levit` model (`convert_levit_timm_to_pytorch.py`) there is a wrong usage of `argparse.ArgumentParser()` for the `--push_to_hub` argument. Currently it is handled with the type `bool` but in the argparser `bool` type does not work as... | {
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https://api.github.com/repos/huggingface/transformers/issues/20936 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20936/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20936/comments | https://api.github.com/repos/huggingface/transformers/issues/20936/events | https://github.com/huggingface/transformers/pull/20936 | 1,513,686,052 | PR_kwDOCUB6oc5GWI8M | 20,936 | Fix error message in `WhisperFeatureExtractor` | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,672 | 1,672 | 1,672 | CONTRIBUTOR | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/20935 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20935/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20935/comments | https://api.github.com/repos/huggingface/transformers/issues/20935/events | https://github.com/huggingface/transformers/pull/20935 | 1,513,625,365 | PR_kwDOCUB6oc5GV7qg | 20,935 | Add generate kwargs to `AutomaticSpeechRecognitionPipeline` | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@Narsil it's indeed better this way. Thanks for the explanation!",
"Hi @Narsil,\r\n\r\nSome tests of `ctc_with_lm` models failed. I think we could\r\n\r\n1. Lift `decoder` in `__init__` as an individual argument\r\n2. Add `**kwargs... | 1,672 | 1,673 | 1,672 | CONTRIBUTOR | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/20934 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20934/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20934/comments | https://api.github.com/repos/huggingface/transformers/issues/20934/events | https://github.com/huggingface/transformers/issues/20934 | 1,513,508,258 | I_kwDOCUB6oc5aNk2i | 20,934 | Mismatched outputs from encoders of `transformers` and `whisper` | {
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"I think it's mismatched because I used `WhisperEncoder`, but the checkpoints' keys are with prefix of `encoder.`. When I revised the above code as \r\n```python\r\nenc1 = ppb.WhisperModel.from_pretrained('openai/whisper-small').encoder\r\n```\r\nthe error is dropped to 1e3, but the difference between each element ... | 1,672 | 1,673 | 1,673 | NONE | null | ### System Info
- `transformers` version: 4.25.1
- Platform: Linux-5.4.0-126-generic-x86_64-with-glibc2.27
- Python version: 3.9.15
- Huggingface_hub version: 0.10.1
- 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/20933 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20933/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20933/comments | https://api.github.com/repos/huggingface/transformers/issues/20933/events | https://github.com/huggingface/transformers/pull/20933 | 1,513,456,746 | PR_kwDOCUB6oc5GVW_J | 20,933 | Remove Bert tokenizer dependency from DistillBert (slow/fast) tokenizers | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,672 | 1,672 | 1,672 | CONTRIBUTOR | null | Hi @sgugger,
Fixes https://github.com/huggingface/transformers/issues/19303
- The `BertTokenizer` dependency has been removed from `DistillBerTokenizer`
- The `BertTokenizerFast` dependency has been removed from `DistillBerTokenizerFast`
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you... | {
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https://api.github.com/repos/huggingface/transformers/issues/20932 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20932/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20932/comments | https://api.github.com/repos/huggingface/transformers/issues/20932/events | https://github.com/huggingface/transformers/issues/20932 | 1,513,430,409 | I_kwDOCUB6oc5aNR2J | 20,932 | OpenAI/Whisper-large-v2 - Transcription & ONNX inference | {
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"Hey @Kirankumar2609! Thanks for linking the reproducible code snippet!\r\n\r\nThe fact that audios are not transcribed beyond the 30s mark is not a bug with the Whisper model. Rather, it's a pre-defined characteristic of the system. OpenAI designed Whisper such that all input audio sequences are padded / truncated... | 1,672 | 1,675 | 1,675 | NONE | null | ### System Info
- `transformers` version: 4.26.0.dev0
- Platform: Windows-10-10.0.22621-SP0
- Python version: 3.9.12
- Huggingface_hub version: 0.11.0
- PyTorch version (GPU?): 1.11.0 (False)
- Tensorflow version (GPU?): 2.10.1 (False)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not insta... | {
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https://api.github.com/repos/huggingface/transformers/issues/20931 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20931/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20931/comments | https://api.github.com/repos/huggingface/transformers/issues/20931/events | https://github.com/huggingface/transformers/issues/20931 | 1,513,404,844 | I_kwDOCUB6oc5aNLms | 20,931 | Problem with MBartForConditionalGeneration and MBart50TokenizerFast | {
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"cc @ArthurZucker ",
"Maybe due to this ? https://github.com/huggingface/transformers/issues/20610#issuecomment-1407704129",
"The model should be predicting in Russian, and the only reason it is not is probably because `kk` language has a very small dataset size and was thus not trained a lot. The model and th... | 1,672 | 1,675 | 1,675 | NONE | null | ### System Info
sys info:
- `transformers` version: 4.25.1
- Platform: Linux-5.4.17-2136.308.9.el8uek.x86_64-x86_64-with-glibc2.28
- Python version: 3.9.7
- Huggingface_hub version: 0.11.1
- PyTorch version (GPU?): 1.13.1+cu117 (False)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU... | {
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https://api.github.com/repos/huggingface/transformers/issues/20930 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20930/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20930/comments | https://api.github.com/repos/huggingface/transformers/issues/20930/events | https://github.com/huggingface/transformers/issues/20930 | 1,513,370,526 | I_kwDOCUB6oc5aNDOe | 20,930 | opt-13b checkpoint missing final_layer_norm weights in pretrained checkpoint | {
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"Hey, there is indeed an issue with the `FlaxWeights`, if you try using `from_pt = True` you should have the correct layers loaded. There are actually 2 different checkpoints online, one is sharded and the other is not. This is pretty strange 😓 ",
"Hi Arthur, thanks for the help! Managed to convert PyTorch weigh... | 1,672 | 1,673 | 1,673 | NONE | null | ### System Info
Hello. Apologies if this has been brought up before, but it seems at least the flax version of opt-13b when using from_pretrained is missing weights for:
- model/decoder/final_layer_norm/bias
- model/decoder/final_layer_norm/scale
Every other version of the model I've tested didn't have this i... | {
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https://api.github.com/repos/huggingface/transformers/issues/20929 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20929/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20929/comments | https://api.github.com/repos/huggingface/transformers/issues/20929/events | https://github.com/huggingface/transformers/pull/20929 | 1,513,112,580 | PR_kwDOCUB6oc5GUNFa | 20,929 | Remove non-breaking spaces | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,672 | 1,672 | 1,672 | CONTRIBUTOR | null | # What does this PR do?
This PR removes non-breaking spaces in various places in the codebase. The first commit was from when I first found the problem over a year ago, and the second commit fixes all other non-breaking spaces in the repository as of now.
I'm not sure of a good check to prevent this going forward... | {
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https://api.github.com/repos/huggingface/transformers/issues/20928 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20928/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20928/comments | https://api.github.com/repos/huggingface/transformers/issues/20928/events | https://github.com/huggingface/transformers/pull/20928 | 1,513,109,166 | PR_kwDOCUB6oc5GUMVR | 20,928 | Convert assertions to exceptions in some examples | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"The issue was aimed at the modules in the library, not the examples. I'd keep the examples as they are for now.",
"@sgugger, I was not aware of that! Can you mention that prominently in the issue (#12789) so others know to avoid th... | 1,672 | 1,672 | 1,672 | CONTRIBUTOR | null | # What does this PR do?
For #12789.
This PR converts assertions to exceptions in some example files in `/examples/pytorch/language-modeling/`. I found this commit locally from over a year ago, so new scripts have been added since it was created.
## Who can review?
Maintained examples (not research project o... | {
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https://api.github.com/repos/huggingface/transformers/issues/20927 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20927/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20927/comments | https://api.github.com/repos/huggingface/transformers/issues/20927/events | https://github.com/huggingface/transformers/pull/20927 | 1,513,054,701 | PR_kwDOCUB6oc5GUAjm | 20,927 | Generate: TF XLA beam sample | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,672 | 1,672 | 1,672 | MEMBER | null | # What does this PR do?
## Context
This is a 2-in-1 PR. While working on adding `generation_config` to TF's `generate`, I noticed that I would have twice the work. This is because on `main` we have `generate()` and `_generate()`, where the former is the legacy version that calls the latter except for beam sample (w... | {
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https://api.github.com/repos/huggingface/transformers/issues/20926 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20926/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20926/comments | https://api.github.com/repos/huggingface/transformers/issues/20926/events | https://github.com/huggingface/transformers/pull/20926 | 1,512,952,967 | PR_kwDOCUB6oc5GTqUw | 20,926 | Adds type checking to PreTrainedConfig. | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Mmm, the tests are all failing for weird reasons. It seems the branch you are using for the PR is pretty outdated compared to main. Could you do a quick rebase?",
"Huh... sorry, I thought I corrected that before pushing. I'll do a ... | 1,672 | 1,672 | 1,672 | CONTRIBUTOR | null | # What does this PR do?
Fixes [# (issue)](https://github.com/huggingface/transformers/issues/20915)
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [X] Did you read the [contributor guideline](https://github.com/huggingface/transfor... | {
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https://api.github.com/repos/huggingface/transformers/issues/20925 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20925/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20925/comments | https://api.github.com/repos/huggingface/transformers/issues/20925/events | https://github.com/huggingface/transformers/pull/20925 | 1,512,926,064 | PR_kwDOCUB6oc5GTkp0 | 20,925 | Add: doc page for the object detection task | {
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"This PR replaces the https://github.com/huggingface/transformers/pull/20874 ",
"To preserve the discussion, here's @sayakpaul 's comment relevant to the CI issue: https://github.com/huggingface/transformers/pull/20874#issuecomment-1366717321",
"_The documentation is not available anymore as the PR was closed o... | 1,672 | 1,673 | 1,672 | CONTRIBUTOR | null | This is a PR for the [#20805](https://github.com/huggingface/transformers/issues/20805) issue.
The guide has content and working code examples for:
*
Introduction
*
Loading CPPE-5 dataset from Hub
*
Preprocessing both images and annotations. Images are augmented, and annotations are reformatted to be in the forma... | {
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https://api.github.com/repos/huggingface/transformers/issues/20924 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20924/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20924/comments | https://api.github.com/repos/huggingface/transformers/issues/20924/events | https://github.com/huggingface/transformers/issues/20924 | 1,512,765,499 | I_kwDOCUB6oc5aKvg7 | 20,924 | Getting different result with different batch size and sequence length | {
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"Hey @JaheimLee 👋 \r\n\r\nYes, minor fluctuations are to be expected. Their causes include (but are not limited to) the numerical masking from the attention mask and the order of operations in fp32 computations.\r\n\r\nBecause of these fluctuations, we typically consider results correct if their are within 1e-5 of... | 1,672 | 1,672 | 1,672 | NONE | null | Here is the code:
```
import os
os.environ["CUDA_VISIBLE_DEVICES"] = '0'
from transformers import BertTokenizer, BertModel
import torch
device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
tokenizer = BertTokenizer.from_pretrained('bert-base-uncased')
model = BertModel.from_pretrained("bert-b... | {
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https://api.github.com/repos/huggingface/transformers/issues/20923 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20923/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20923/comments | https://api.github.com/repos/huggingface/transformers/issues/20923/events | https://github.com/huggingface/transformers/issues/20923 | 1,512,744,889 | I_kwDOCUB6oc5aKqe5 | 20,923 | Encoding parameter for AutoModel.from_pretrained() module. | {
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"Thanks for the report.\r\nPlease provide us with a reproducing example showing how a model saved with `save_pretrained` can't be reloaded with `from_pretrained`.",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comme... | 1,672 | 1,675 | 1,675 | NONE | null | ### Feature request
transformers.AutoModel.from_pretrained() module allows to load pretrained models from local directories as well. The local pickle files path is an argument of the above function. These files can have different encoding types.
A parameter called 'encoding' can be added in the parameter list simil... | {
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https://api.github.com/repos/huggingface/transformers/issues/20922 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20922/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20922/comments | https://api.github.com/repos/huggingface/transformers/issues/20922/events | https://github.com/huggingface/transformers/issues/20922 | 1,512,743,059 | I_kwDOCUB6oc5aKqCT | 20,922 | Encoding parameter | {
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"Duplicate of #20923"
] | 1,672 | 1,672 | 1,672 | NONE | null | ### Feature request
##transformers.AutoModel.from_pretrained()## module allows to load pretrained models from local directories as well. The local pickle files path is an argument of the above function. These files can have different encoding types.
A parameter called 'encoding' can be added in the parameter list... | {
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https://api.github.com/repos/huggingface/transformers/issues/20921 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20921/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20921/comments | https://api.github.com/repos/huggingface/transformers/issues/20921/events | https://github.com/huggingface/transformers/pull/20921 | 1,512,597,155 | PR_kwDOCUB6oc5GSdMl | 20,921 | add AltCLIP | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_20921). All of your documentation changes will be reflected on that endpoint."
] | 1,672 | 1,672 | 1,672 | CONTRIBUTOR | null | # What does this PR do?
<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
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https://api.github.com/repos/huggingface/transformers/issues/20920 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20920/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20920/comments | https://api.github.com/repos/huggingface/transformers/issues/20920/events | https://github.com/huggingface/transformers/pull/20920 | 1,512,564,768 | PR_kwDOCUB6oc5GSWIl | 20,920 | Load the state dict on CPU to prevent unnecessary GPU memory surge | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,672 | 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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https://api.github.com/repos/huggingface/transformers/issues/20919 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20919/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20919/comments | https://api.github.com/repos/huggingface/transformers/issues/20919/events | https://github.com/huggingface/transformers/issues/20919 | 1,512,319,096 | I_kwDOCUB6oc5aJCh4 | 20,919 | ModuleNotFoundError: No module named 'evaluate' | {
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"You need to `pip install evaluate`, as the error message tells you. This is also in the [requirements](https://github.com/huggingface/transformers/blob/main/examples/pytorch/language-modeling/requirements.txt) for this example.",
"First run the pip install-r requirements.txt command then still if you won't find ... | 1,672 | 1,673 | 1,673 | NONE | null | ### System Info
Copy-and-paste the text below in your GitHub issue and FILL OUT the two last points.
- `transformers` version: 4.25.1
- Platform: Linux-3.10.0-1160.81.1.el7.x86_64-x86_64-with-glibc2.17
- Python version: 3.9.15
- Huggingface_hub version: 0.11.1
- PyTorch version (GPU?): 1.13.1+cu116 (True)
- Te... | {
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https://api.github.com/repos/huggingface/transformers/issues/20918 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20918/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20918/comments | https://api.github.com/repos/huggingface/transformers/issues/20918/events | https://github.com/huggingface/transformers/issues/20918 | 1,512,205,780 | I_kwDOCUB6oc5aIm3U | 20,918 | Unable to save t5 model locally after training t5 using run_t5_mlm_flax.py | {
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"cc @sanchit-gandhi ",
"Hey @patelvishwa112! Sorry for the late reply here! The fine-tuned checkpoint is saved periodically every `save_steps` training steps:\r\nhttps://github.com/huggingface/transformers/blob/12313838d33373d06d35b48c3c501fa832f16443/examples/flax/language-modeling/run_t5_mlm_flax.py#L950\r\n\r\... | 1,672 | 1,676 | 1,676 | NONE | null | ### System Info
I want to develop a POC to train a t5 model on a domain dataset (txt file where each line is a sentence). I came across the run_t5_mlm_flax.py file and followed the steps mentioned in the README file.
After a lot of trial and error, I finally was able to get it running in colab using GPU (using 8 ... | {
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https://api.github.com/repos/huggingface/transformers/issues/20917 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20917/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20917/comments | https://api.github.com/repos/huggingface/transformers/issues/20917/events | https://github.com/huggingface/transformers/issues/20917 | 1,512,156,474 | I_kwDOCUB6oc5aIa06 | 20,917 | [i18n-<ao>] Translating docs to <am> | {
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"Hi @arabaman. Could you please fill the template with your language?"
] | 1,672 | 1,672 | null | NONE | null | <!--
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https://api.github.com/repos/huggingface/transformers/issues/20916 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20916/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20916/comments | https://api.github.com/repos/huggingface/transformers/issues/20916/events | https://github.com/huggingface/transformers/issues/20916 | 1,512,145,870 | I_kwDOCUB6oc5aIYPO | 20,916 | Learning rate is set to zero for the entirety of the first epoch | {
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"Diving deeper into this, I think this is due to a mismatch between pytorch lightning's design and huggingface's. Huggingface trainer. [Huggingface's trainer calls the lr scheduler every step](https://github.com/huggingface/transformers/blob/31d452c68b34c2567b62924ee0df40a83cbc52d5/src/transformers/trainer.py#L1845... | 1,672 | 1,672 | 1,672 | CONTRIBUTOR | null | https://github.com/huggingface/transformers/blob/31d452c68b34c2567b62924ee0df40a83cbc52d5/src/transformers/optimization.py#L210
Both in practice and based on my understanding of the code, this will produce a `LambdaLR` that will return a multiplicative factor of 0 for the entirety of the first epoch (as `current_ste... | {
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https://api.github.com/repos/huggingface/transformers/issues/20915 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20915/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20915/comments | https://api.github.com/repos/huggingface/transformers/issues/20915/events | https://github.com/huggingface/transformers/issues/20915 | 1,512,100,489 | I_kwDOCUB6oc5aINKJ | 20,915 | Comparing a huggingface config with a dictionary raises an error as the `__eq__` method relies on `other` having a `__dict__` method | {
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"Would you like to make a PR with such a change?"
] | 1,672 | 1,672 | 1,672 | CONTRIBUTOR | null | `PreTrainedConfig`s inherit their `__eq__` methods from this: https://github.com/huggingface/transformers/blob/3f936df66287f557c6528912a9a68d7850913b9b/src/transformers/configuration_utils.py#L736
This works fine for comparing two configs, but if you compare a config to something of a different type, (in particular... | {
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https://api.github.com/repos/huggingface/transformers/issues/20914 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20914/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20914/comments | https://api.github.com/repos/huggingface/transformers/issues/20914/events | https://github.com/huggingface/transformers/issues/20914 | 1,512,091,381 | I_kwDOCUB6oc5aIK71 | 20,914 | AttributeError: 'DummyVecEnv' object has no attribute 'render_mode' | {
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I'm doing the Deep RL course, I don't know what is happening, something is wrong in the notebook on unit 1: https://colab.research.google.com/github/huggingface/deep-rl-class/blob/master/notebooks/unit1/unit1.ipynb#scrollTo=xMkkkukIBQJM
when I try to push my Agent to HF Hub I received this error ... | {
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https://api.github.com/repos/huggingface/transformers/issues/20913 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20913/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20913/comments | https://api.github.com/repos/huggingface/transformers/issues/20913/events | https://github.com/huggingface/transformers/pull/20913 | 1,512,052,138 | PR_kwDOCUB6oc5GQpxM | 20,913 | Fix FP16 inference in TextGenerationPipeline | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"In general its better for parameters to be in `_sanitize_parameters` but this doesn't apply here, since the models already uses `torch_dtype` and so using `pipe(..., torch_dtype=torch.float16)` cannot work anyway.\r\n\r\n I think th... | 1,672 | 1,672 | 1,672 | CONTRIBUTOR | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/20912 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20912/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20912/comments | https://api.github.com/repos/huggingface/transformers/issues/20912/events | https://github.com/huggingface/transformers/issues/20912 | 1,512,047,795 | I_kwDOCUB6oc5aIASz | 20,912 | Run TextGenerationPipeline in FP16 | {
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- `transformers` version: 4.26.0.dev0
- Platform: Linux-4.19.0-22-cloud-amd64-x86_64-with-glibc2.17
- Python version: 3.8.15
- Huggingface_hub version: 0.11.1
- PyTorch version (GPU?): 1.13.0+cu117 (True)
- Tensorflow version (GPU?): 2.11.0 (False)
- Flax version (CPU?/GPU?/TPU?): 0.5.3 (cpu)
... | {
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https://api.github.com/repos/huggingface/transformers/issues/20911 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20911/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20911/comments | https://api.github.com/repos/huggingface/transformers/issues/20911/events | https://github.com/huggingface/transformers/pull/20911 | 1,511,857,959 | PR_kwDOCUB6oc5GP_Wf | 20,911 | Generate: correctly detect default max length | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,672 | 1,684 | 1,672 | MEMBER | null | # What does this PR do?
Fixes #20894.
Now that we are using the generation config, we can detect the use of a default `max_length` and a potential clash with `max_new_tokens` with values other than `max_length=20` :)
After this change, the example in the issue linked above works correctly. | {
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https://api.github.com/repos/huggingface/transformers/issues/20910 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20910/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20910/comments | https://api.github.com/repos/huggingface/transformers/issues/20910/events | https://github.com/huggingface/transformers/issues/20910 | 1,511,825,042 | I_kwDOCUB6oc5aHJ6S | 20,910 | Request for scripts/helper function to create custom jsonl files for translation | {
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"Examples are just that examples. You should adapt the data processing part to your specific data format."
] | 1,672 | 1,672 | 1,672 | NONE | null | ### Feature request
In the examples for machine translation there's a section that states that current scripts can only consume data in a custom jsonl format as follows
```json
{ "translation": { "en": "Others have dismissed him as a joke.", "ro": "Alții l-au numit o glumă." } }
{ "translation": { "en": "And some a... | {
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https://api.github.com/repos/huggingface/transformers/issues/20909 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20909/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20909/comments | https://api.github.com/repos/huggingface/transformers/issues/20909/events | https://github.com/huggingface/transformers/pull/20909 | 1,511,520,670 | PR_kwDOCUB6oc5GO2ZP | 20,909 | Add distributed training example with Accelerate for run_clm_no_trainer.py | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_20909). 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... | 1,672 | 1,675 | 1,675 | NONE | null | # What does this PR do?
Adds additional documentation for running distributed training using accelerate for training causal language models without the HuggingFace Trainer. The example that uses Trainer API defaults to using multi GPU for training while the no trainer example defaults to single GPU training. The added... | {
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https://api.github.com/repos/huggingface/transformers/issues/20908 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20908/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20908/comments | https://api.github.com/repos/huggingface/transformers/issues/20908/events | https://github.com/huggingface/transformers/issues/20908 | 1,511,515,348 | I_kwDOCUB6oc5aF-TU | 20,908 | OSError: Token is required (`token=True`), but no token found. You need to provide a token or be logged in to Hugging Face with `huggingface-cli login` or `huggingface_hub.login`. See https://huggingface.co/settings/tokens. | {
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"You need to make sure to execute the cell `notebook_login()` at the beginning and pass it your token (it provides a direct link to your token pages on hf.co)",
"pass it your token ??? I have token but how to use it ? @sgugger ",
"This issue has been automatically marked as stale because it has not had recent a... | 1,672 | 1,675 | 1,675 | NONE | null | ### System Info
copy the [RP](https://github.com/huggingface/notebooks/blob/main/examples/language_modeling.ipynb) and got the ERROR
could you pls help me ?
### Who can help?
@ArthurZucker and @younesbelkada
### Information
- [X] The official example scripts
- [ ] My own modified scripts
### Tasks
- [X] An ... | {
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https://api.github.com/repos/huggingface/transformers/issues/20907 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20907/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20907/comments | https://api.github.com/repos/huggingface/transformers/issues/20907/events | https://github.com/huggingface/transformers/pull/20907 | 1,511,485,573 | PR_kwDOCUB6oc5GOu6g | 20,907 | Extend Script to enable conversion of Encoder Only T5x Models to Pytorch | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"cc @ArthurZucker ",
"Once the tests are good we can merge!",
"Hi @ArthurZucker , `make style` seems to be changing a lot of files, is there any fix for this?",
"Yes, you probably have the wrong version of `black`. Something lik... | 1,672 | 1,674 | 1,674 | CONTRIBUTOR | null | # What does this PR do?
This PR Extends the [Script that converts T5x Models to Pytorch](https://github.com/huggingface/transformers/blob/main/src/transformers/models/t5/convert_t5x_checkpoint_to_pytorch.py). This is particularly useful for converting [T5x Retrieval Dual Encoder](https://github.com/google-research/t... | {
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https://api.github.com/repos/huggingface/transformers/issues/20906 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20906/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20906/comments | https://api.github.com/repos/huggingface/transformers/issues/20906/events | https://github.com/huggingface/transformers/pull/20906 | 1,511,381,110 | PR_kwDOCUB6oc5GOZCC | 20,906 | add model resources for CPMAnt (new) | {
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"> Thanks very much @pioliverse for iterating! I left a couple of comments, I think that some refactoring needs to be considered, after that we should be close to merge this! My main comments are:\r\n> \r\n> * I think that you can wrap `CPMAntEmbedding` around a `nn.Embedding` layer even though scaling is needed. Y... | 1,672 | 1,681 | 1,681 | 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/20905 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20905/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20905/comments | https://api.github.com/repos/huggingface/transformers/issues/20905/events | https://github.com/huggingface/transformers/issues/20905 | 1,511,267,212 | I_kwDOCUB6oc5aFBuM | 20,905 | Issues attempting to implement P-TuningV2 with huggingface's BART | {
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"cc @ArthurZucker ",
"Hello @patrickvonplaten @ArthurZucker,\r\n\r\nI wrote a simple test case to reproduce the error I am getting for the model I am trying to implement using a few examples from SQuAD.\r\n\r\n### 1. Loading the dataset\r\n\r\n```\r\nfrom datasets import Dataset\r\n\r\ndef formatToMI(dataset):\r\... | 1,672 | 1,676 | 1,676 | NONE | null | @patrickvonplaten
Hello, I am trying to implement P-Tuningv2 with BART using huggingface's transformers v4.25.1 ([P-TuningV2 official repo](https://github.com/THUDM/P-tuning-v2)). However, when I try to train the model I get the following error:
```
[/usr/local/lib/python3.8/dist-packages/transformers/models/bart/... | {
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https://api.github.com/repos/huggingface/transformers/issues/20904 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20904/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20904/comments | https://api.github.com/repos/huggingface/transformers/issues/20904/events | https://github.com/huggingface/transformers/pull/20904 | 1,511,225,731 | PR_kwDOCUB6oc5GN4DV | 20,904 | Don't call deprecated method | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,672 | 1,672 | 1,672 | COLLABORATOR | null | # What does this PR do?
Call `pad_image` instead of `pad` which has been deprecated in order to maintain consistent method naming across image processors.
There's no difference in logic, as `pad` calls `pad_image`, it just reduces excessive logging raised in [this comment](https://github.com/huggingface/transfor... | {
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https://api.github.com/repos/huggingface/transformers/issues/20903 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20903/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20903/comments | https://api.github.com/repos/huggingface/transformers/issues/20903/events | https://github.com/huggingface/transformers/issues/20903 | 1,511,081,962 | I_kwDOCUB6oc5aEUfq | 20,903 | Informer - Transformer For Time-Series Forecasting | {
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"thanks @elisim for the issue... indeed i have informer in my list of models to port over. I have the initial implementation of informer and other done: https://github.com/kashif/pytorch-transformer-ts and will move them over to the transformers API",
"Wow! saw your repo and it looks great! Maybe I might help? :)... | 1,672 | 1,681 | 1,681 | CONTRIBUTOR | null | # Model description
Following the new support for Time Series Transformers in the [API](https://huggingface.co/docs/transformers/model_doc/time_series_transformer) (and the great blog by @NielsRogge and @kashif [here](https://huggingface.co/blog/time-series-transformers)), I propose adding "Informer" - AAAI 2021 Bes... | {
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https://api.github.com/repos/huggingface/transformers/issues/20902 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20902/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20902/comments | https://api.github.com/repos/huggingface/transformers/issues/20902/events | https://github.com/huggingface/transformers/pull/20902 | 1,511,076,512 | PR_kwDOCUB6oc5GNXF_ | 20,902 | Cache size limit for generation | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_20902). All of your documentation changes will be reflected on that endpoint.",
"Hey @Natooz 👋 \r\n\r\nThank you for the PR! Looking at the PR, it is not too complex... but given the non-existent demand, it still amounts t... | 1,672 | 1,675 | 1,675 | CONTRIBUTOR | null | # What does this PR do?
Following #20767, it adds a `cache_limit` argument for `generate` for PyTorch and TensorFlow (except xla), limiting the size of the cache (`past_key_values`).
`position_ids` is stored in `model_kwargs` for concerned models.
This is a bit above 100 lines. No big deal if you consider the ma... | {
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https://api.github.com/repos/huggingface/transformers/issues/20901 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20901/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20901/comments | https://api.github.com/repos/huggingface/transformers/issues/20901/events | https://github.com/huggingface/transformers/pull/20901 | 1,511,068,496 | PR_kwDOCUB6oc5GNVb2 | 20,901 | 🚨🚨 Generate: correct beam search best possible score computation and handling | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@ydshieh regarding the original issue (https://github.com/huggingface/transformers/issues/18149) -- the problem was not TF with too many beam search iterations, but rather PT with not enough 😅 After this fix, in the example you shar... | 1,672 | 1,684 | 1,675 | MEMBER | null | # What does this PR do?
As initially uncovered by @ydshieh in #20853, there is a gross TF/PT mismatch on the number of steps beam search takes under some circumstances. In practice, all three frameworks had a different and incomplete implementation (see below why), and this PR fixes it.
Added "🚨🚨" to the title,... | {
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https://api.github.com/repos/huggingface/transformers/issues/20900 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20900/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20900/comments | https://api.github.com/repos/huggingface/transformers/issues/20900/events | https://github.com/huggingface/transformers/pull/20900 | 1,511,067,827 | PR_kwDOCUB6oc5GNVSl | 20,900 | fix docs typos in "add_new_model" | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,672 | 1,678 | 1,672 | CONTRIBUTOR | null | # What does this PR do?
This PR fixes a typo or improves the docs:
I changed typos in the "add_new_model" docs, from "Jupiter" to "Jupyter"
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https://api.github.com/repos/huggingface/transformers/issues/20899 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20899/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20899/comments | https://api.github.com/repos/huggingface/transformers/issues/20899/events | https://github.com/huggingface/transformers/issues/20899 | 1,510,995,243 | I_kwDOCUB6oc5aD_Ur | 20,899 | TFGPT2ForSequenceClassification.from_pretrained with num_labels parameter creates a model with reversed layers order | {
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"Hi @justnoxx 👋 \r\n\r\nThe layers are being called in the expected order, as you can see in the [model's forward pass](https://github.com/huggingface/transformers/blob/bbcd961897aa6cc439ef4cca5cef6db4283c5b76/src/transformers/models/gpt2/modeling_tf_gpt2.py#L1139). \r\n\r\n`model.summary()` is not fully compatibl... | 1,672 | 1,672 | 1,672 | NONE | null | ### System Info
platform: macos, m1 max
python version: 3.9.13
transformers version: 4.25.1
### Who can help?
@Rocketknight1
### Information
- [X] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD... | {
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https://api.github.com/repos/huggingface/transformers/issues/20965 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20965/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20965/comments | https://api.github.com/repos/huggingface/transformers/issues/20965/events | https://github.com/huggingface/transformers/issues/20965 | 1,516,264,032 | I_kwDOCUB6oc5aYFpg | 20,965 | Improve Mlflow Callbacks documentation. | {
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It is better to read ... | {
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https://api.github.com/repos/huggingface/transformers/issues/20898 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20898/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20898/comments | https://api.github.com/repos/huggingface/transformers/issues/20898/events | https://github.com/huggingface/transformers/issues/20898 | 1,510,901,516 | I_kwDOCUB6oc5aDocM | 20,898 | Keep getting ChildFailedError Error in distributed Eval/Train | {
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"Update: after reading this [thread](https://github.com/facebookresearch/detectron2/issues/3319), tried to add the following exports:\r\n>export NCCL_IB_DISABLE=1\r\nexport NCCL_P2P_DISABLE=1\r\n\r\nBut no luck.\r\nThe warnings regards `NCCL_P2P` disappeared and the same error remains.",
"Thanks for your report. ... | 1,672 | 1,675 | 1,675 | NONE | null | ### System Info
- `transformers` version: 4.25.1
- Platform: Linux-4.15.0-200-generic-x86_64-with-glibc2.29
- Python version: 3.8.10
- Huggingface_hub version: 0.11.1
- PyTorch version (GPU?): 1.12.1+cu113 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not ins... | {
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https://api.github.com/repos/huggingface/transformers/issues/20897 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20897/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20897/comments | https://api.github.com/repos/huggingface/transformers/issues/20897/events | https://github.com/huggingface/transformers/pull/20897 | 1,510,813,399 | PR_kwDOCUB6oc5GMdyp | 20,897 | Update flan-t5 original model link | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,672 | 1,672 | 1,672 | CONTRIBUTOR | null | # What does this PR do?
Update flan-t5 original model link
@sgugger
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"Hi @youngwoo-yoon \r\n\r\nThanks for the issue! \r\nWhat is your version of `accelerate` ? With the latest version (`0.15.0`) & same pytorch version I get (on a NVIDIA T4) on the minimal test example shared above that uses `device_map=auto` :\r\n```\r\nHello, nice to meet you. How are you?\r\n\r\nI’m a bit of a ne... | 1,672 | 1,693 | 1,675 | NONE | null | ### System Info
- `transformers` version: 4.25.1
- Platform: Linux-5.15.0-56-generic-x86_64-with-glibc2.17
- Python version: 3.8.15
- Huggingface_hub version: 0.11.1
- PyTorch version (GPU?): 1.11.0 (True)
- 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/20895 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20895/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20895/comments | https://api.github.com/repos/huggingface/transformers/issues/20895/events | https://github.com/huggingface/transformers/issues/20895 | 1,510,702,265 | I_kwDOCUB6oc5aC3y5 | 20,895 | Can't access ViTImageProcessor on transformers==4.25.1 | {
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"Hi,\r\n\r\nRelease history is here: https://github.com/huggingface/transformers/releases.\r\n\r\nI just tried it out on Google Colab, it works fine for me. This might be an issue with your environment. Could you uninstall and install Transformers again?\r\n\r\n",
"This issue has been automatically marked as stal... | 1,672 | 1,691 | 1,674 | NONE | null | ### System Info
ImportError: cannot import name 'ViTImageProcessor' from 'transformers' (/opt/conda/lib/python3.7/site-packages/transformers/__init__.py)
Am I using the wrong version? Should I downgrade? Where can I get the release history in general? I often find discrepancies like this for usage documentation in ... | {
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https://api.github.com/repos/huggingface/transformers/issues/20894 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20894/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20894/comments | https://api.github.com/repos/huggingface/transformers/issues/20894/events | https://github.com/huggingface/transformers/issues/20894 | 1,510,361,311 | I_kwDOCUB6oc5aBkjf | 20,894 | `max_length` and `max_new_tokens` in `.generate()` | {
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"I kind of agree with you, but I think the goal is to get rid of `max_length` and rather use the `max_new_token` in the configuration of the model, which is why we should rather deprecate (as we did with previous version) the usage of both of the arguments",
"In this instance, only one was passed though, so this ... | 1,671 | 1,672 | 1,672 | CONTRIBUTOR | null | Hi @gante,
I got some error related to the change of `max_length` and `max_new_tokens` in this PR https://github.com/huggingface/transformers/pull/20388.
For model like Whisper, the `max_length` has already been defined by the max `PositionalEmbedding` length which is 448 (https://huggingface.co/openai/whisper-b... | {
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https://api.github.com/repos/huggingface/transformers/issues/20893 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20893/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20893/comments | https://api.github.com/repos/huggingface/transformers/issues/20893/events | https://github.com/huggingface/transformers/issues/20893 | 1,510,361,119 | I_kwDOCUB6oc5aBkgf | 20,893 | Finetune BLIP on customer dataset | {
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"Please use the [forums](https://discuss.huggingface.co/) to help debug your code as we keep issues for bugs and feature requests only.",
"hi @dxlong2000 \r\nThanks for the issue! \r\nCan you open an issue on the forums as suggested by @sgugger , and ping me there? (my handle on the forum is @ybelkada) As I am in... | 1,671 | 1,672 | 1,672 | NONE | null | ### System Info
Dear the team,
I was trying to finetune BLIP and so far I got an error, not sure how to solve it. Is it possible that you can give me some advice? Thanks
### Who can help?
_No response_
### Information
- [X] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An offi... | {
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https://api.github.com/repos/huggingface/transformers/issues/20892 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20892/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20892/comments | https://api.github.com/repos/huggingface/transformers/issues/20892/events | https://github.com/huggingface/transformers/pull/20892 | 1,510,197,986 | PR_kwDOCUB6oc5GKfV2 | 20,892 | `MinNewTokensLengthLogitsProcessor` for `.generate` method #20814 | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"There seems to be a problem with CI that we'll have to fix before merging. @kotikkonstantin, what fo you see when you click on \"Details\" next to \"setup_and_quality\" in the checks section below?",
"> There seems to be a problem ... | 1,671 | 1,672 | 1,672 | CONTRIBUTOR | null | ### **Approved** by [#20814 issue](https://github.com/huggingface/transformers/issues/20814)
### What does this PR do?
It implements `MinNewTokensLengthLogitsProcessor` class for enforcing a min-length of **NEW** tokens by setting EOS (end-of-sequence) token probability to 0.
Framework: `pytorch`
### Who can ... | {
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https://api.github.com/repos/huggingface/transformers/issues/20891 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20891/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20891/comments | https://api.github.com/repos/huggingface/transformers/issues/20891/events | https://github.com/huggingface/transformers/pull/20891 | 1,510,122,032 | PR_kwDOCUB6oc5GKQba | 20,891 | typo fix | {
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"Let me know what I should put in the original comment for typo fixes, am starting to go through the docs and will submit another if I spot any",
"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,671 | 1,672 | 1,672 | CONTRIBUTOR | null | Hello!
I just fixed this tiny typo. Just getting into open source, one day hopefully I can contribute non-trivial PRs.
Happy holidays!
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https://api.github.com/repos/huggingface/transformers/issues/20890 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20890/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20890/comments | https://api.github.com/repos/huggingface/transformers/issues/20890/events | https://github.com/huggingface/transformers/pull/20890 | 1,510,091,970 | PR_kwDOCUB6oc5GKKQ- | 20,890 | update pyknp to rhoknp | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Could you please edit the description of the PR to explain the reason for your change? Note that `rhoknp` does not seem to have available wheels for Python3.7 and Python 3.8, which we do support, so switching to this dependency does ... | 1,671 | 1,672 | 1,672 | CONTRIBUTOR | null | # What does this PR do?
- This PR update [pyknp](https://github.com/ku-nlp/pyknp) to [rhoknp](https://github.com/ku-nlp/rhoknp), a newer Jumanpp package for Japanese morphological analysis.
- A bug was found in `pyknp` (see below), which is also confirmed when using `JumanppTokenizer` in `BertJapaneseTokenizer`. `rh... | {
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https://api.github.com/repos/huggingface/transformers/issues/20889 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20889/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20889/comments | https://api.github.com/repos/huggingface/transformers/issues/20889/events | https://github.com/huggingface/transformers/issues/20889 | 1,510,025,894 | I_kwDOCUB6oc5aASqm | 20,889 | Disable ClearML automatic model uploading | {
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"Would you like to make a PR using the same kind of environment variable as WandB and CometML to control model logging through clearML?\r\n\r\n(PS: There is no limit to the number of uploaded models on the Hugging Face Hub when you set `push_to_hub=True` ;-) )",
"Yes, I'll try to create a PR :)",
"I'm having th... | 1,671 | 1,673 | 1,673 | CONTRIBUTOR | null | ### Feature request
Allow users of `transformers` to disable the automatic model uploading of ClearML. Perhaps we can also allow users to write their own integration callbacks in case they want to configure some more stuff.
The place where the saving happens is `src/transformers/integrations.py`:
```
def on... | {
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https://api.github.com/repos/huggingface/transformers/issues/20888 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20888/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20888/comments | https://api.github.com/repos/huggingface/transformers/issues/20888/events | https://github.com/huggingface/transformers/issues/20888 | 1,509,914,497 | I_kwDOCUB6oc5Z_3eB | 20,888 | Unable to import name 'pad_shard_unpad' from 'flax.jax_utils' (clm language modelling flax example) | {
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"@sanchit-gandhi @ArthurZucker, could you help us with this ^",
"Hi @SupreethRao99 \r\n\r\nIndeed the function `pad_shard_unpad` cannot be imported from flax.jax_utils using flax==0.4.2\r\nCan you try with a latest version of `flax`? For example `from flax.jax_utils import pad_shard_unpad` works fine under `flax=... | 1,671 | 1,672 | 1,672 | NONE | null | ### System Info
- `transformers` version: 4.26.0.dev0
- Platform: Linux-5.4.88+-x86_64-with-glibc2.2.5
- Python version: 3.8.15
- Huggingface_hub version: 0.11.1
- PyTorch version (GPU?): 1.11.0+cu102 (False)
- Tensorflow version (GPU?): 2.10.0 (False)
- Flax version (CPU?/GPU?/TPU?): 0.4.2 (tpu)
- Jax versio... | {
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https://api.github.com/repos/huggingface/transformers/issues/20887 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20887/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20887/comments | https://api.github.com/repos/huggingface/transformers/issues/20887/events | https://github.com/huggingface/transformers/issues/20887 | 1,509,829,163 | I_kwDOCUB6oc5Z_ior | 20,887 | eval OOM when loading a pretrained model with output_hidden_states set to True for BertForSequenceClassification | {
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"You will need to use the [eval_accumulation_steps](https://huggingface.co/docs/transformers/main_classes/trainer#transformers.TrainingArguments.eval_accumulation_steps) argument in your `TrainingArguments` as it's not possible to accumulate all those tensors coming from the hidden states on the GPU.",
"This issu... | 1,671 | 1,675 | 1,675 | NONE | null | ### System Info
- `transformers` version: 4.23.1
- Platform: Linux-4.15.0-166-generic-x86_64-with-debian-buster-sid
- Python version: 3.7.12
- Huggingface_hub version: 0.11.1
- PyTorch version (GPU?): 1.10.0+cu102 (True)
- Tensorflow version (GPU?): 2.7.0 (True)
- Flax version (CPU?/GPU?/TPU?): not installed (NA... | {
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https://api.github.com/repos/huggingface/transformers/issues/20886 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20886/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20886/comments | https://api.github.com/repos/huggingface/transformers/issues/20886/events | https://github.com/huggingface/transformers/pull/20886 | 1,509,571,452 | PR_kwDOCUB6oc5GIdHo | 20,886 | [RobertaPreLayernom] Fixes the CI daily test | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"BTW, this model does not have tf or flax port yet, no?",
"It does 😉 "
] | 1,671 | 1,671 | 1,671 | COLLABORATOR | null | # What does this PR do?
The checkpoint was not correct, it is a simply typo as the `flax` and `tf` tests were not affected by this. | {
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