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https://api.github.com/repos/huggingface/transformers/issues/20584 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20584/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20584/comments | https://api.github.com/repos/huggingface/transformers/issues/20584/events | https://github.com/huggingface/transformers/pull/20584 | 1,476,201,023 | PR_kwDOCUB6oc5EUsNl | 20,584 | Fix torch device issue | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,670 | 1,670 | 1,670 | COLLABORATOR | null | # What does this PR do?
The fixes in #20304 is changed somehow to the wrong places in #20160, and we got the torch device issues.
This PR fixes this device issue - just put `to` in the correct places. | {
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https://api.github.com/repos/huggingface/transformers/issues/20583 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20583/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20583/comments | https://api.github.com/repos/huggingface/transformers/issues/20583/events | https://github.com/huggingface/transformers/issues/20583 | 1,475,749,688 | I_kwDOCUB6oc5X9ic4 | 20,583 | AttributeError: 'DataParallel' object has no attribute 'model' | {
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"contact me, I fixed it ",
"Hi, @huynhhoanghuy. I think that clrcmd trainer is trying to access `model.model` while your model is wrapped into DataParallel, hence there is no `.model` attribute.\r\nSee addressed [issue](https://github.com/sh0416/clrcmd/issues/2) ",
"This issue has been automatically marked as s... | 1,670 | 1,673 | 1,673 | NONE | null | ### System Info
System Info
- torch==1.8.1+cu101
- transformers==4.10.1
- Python 3.8
- "Ubuntu 18.04.6 LTS"
I am training parallel GPUs and not using pretrained weight. However, during training, I got this issue and break training:
```python
15%|ββ | 246/1617 [09:01<48:36, 2.13s/it]
15%|ββ ... | {
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https://api.github.com/repos/huggingface/transformers/issues/20582 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20582/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20582/comments | https://api.github.com/repos/huggingface/transformers/issues/20582/events | https://github.com/huggingface/transformers/issues/20582 | 1,475,294,678 | I_kwDOCUB6oc5X7zXW | 20,582 | ValueError: Tokenizer class `NllbTokenizer` does not exist or is not currently imported when using NLLB (On Paperspace) | {
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"Bug resolved ! \r\nI relaunch my instance many times and run this command `!pip3 install git+https://github.com/huggingface/transformers.git`",
"I have the same problem. help!!!"
] | 1,670 | 1,680 | 1,670 | NONE | null | ### System Info
Hello,
When i use the code below
```py
...
tokenizer = AutoTokenizer.from_pretrained("facebook/nllb-200-distilled-600M")
...
```
Models : `nllb-distilled-600M`
I got an error in my notebook instance (on `paperspace`) and I thought the problem was with the version of huggingface `(4.26.0.... | {
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https://api.github.com/repos/huggingface/transformers/issues/20581 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20581/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20581/comments | https://api.github.com/repos/huggingface/transformers/issues/20581/events | https://github.com/huggingface/transformers/issues/20581 | 1,475,256,517 | I_kwDOCUB6oc5X7qDF | 20,581 | Sensible default for Trainer's dataloader_num_workers argument | {
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"It's hard to have a nice default that would work everywhere: for NLP tasks you wouldn't need this since the preprocessing is fast. How about doing something in the vision examples?",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be add... | 1,670 | 1,673 | 1,673 | NONE | null | ### Feature request
As a relative beginner with Transformers and ML, it took me quite a bit of performance analysis and fiddling to figure out why my GPU was being vastly underutilized in training on image classification. I finally figured out that the bottleneck was dataloaders (as typical for image tasks, it has a ... | {
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https://api.github.com/repos/huggingface/transformers/issues/20580 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20580/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20580/comments | https://api.github.com/repos/huggingface/transformers/issues/20580/events | https://github.com/huggingface/transformers/issues/20580 | 1,475,205,608 | I_kwDOCUB6oc5X7dno | 20,580 | VideoMAE with `num_channels!=3` needs a small fix | {
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"Hi,\r\n\r\nThis is related to #19913. Would be great to open a PR! ",
"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]... | 1,670 | 1,673 | 1,673 | CONTRIBUTOR | null | ## Issue
The VideoMAE model doesn't work for non-RGB videos (when `num_channels!=3`). I believe this is caused by the harcoded image-net means and stds in the following lines:
https://github.com/huggingface/transformers/blob/d51e7c7e8265d69db506828dce77eb4ef9b72157/src/transformers/models/videomae/modeling_videom... | {
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https://api.github.com/repos/huggingface/transformers/issues/20579 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20579/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20579/comments | https://api.github.com/repos/huggingface/transformers/issues/20579/events | https://github.com/huggingface/transformers/issues/20579 | 1,475,105,602 | I_kwDOCUB6oc5X7FNC | 20,579 | fail to import 'microsoft/swin-tiny-patch4-window7-224' in AutoConfig | {
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"Hi, @XZhang97666. It seems that config.json file is in the right place(https://huggingface.co/microsoft/swin-tiny-patch4-window7-224/blob/main/config.json). \r\nCould you please tell what version of `transformers` you're using?\r\nAlso have you tried to run the snippet code that at https://huggingface.co/microsoft... | 1,670 | 1,670 | 1,670 | NONE | null | ### System Info
OSError: microsoft/swin-tiny-patch4-window7-224 does not appear to have a file named config.json. Checkout 'https://huggingface.co/microsoft/swin-tiny-patch4-window7-224/None' for available files
### Who can help?
@LysandreJik
### Information
- [X] The official example scripts
- [ ] My own modified... | {
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https://api.github.com/repos/huggingface/transformers/issues/20578 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20578/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20578/comments | https://api.github.com/repos/huggingface/transformers/issues/20578/events | https://github.com/huggingface/transformers/issues/20578 | 1,474,738,163 | I_kwDOCUB6oc5X5rfz | 20,578 | Missing support for token sampling in XLMRobertaTokenizer (sentencepiece) | {
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"+1",
"+1",
"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/CO... | 1,670 | 1,673 | 1,673 | NONE | null | ### Feature request
Hi all, token sampling is supported by the sentencepiece library, but the kwargs required to enable it are blocked by the wrapper (`_tokenize` as no `**kwargs` param)
This simple fix will enable support for token sampling π
### Motivation
Token sampling is awesome, it will enable learning a m... | {
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https://api.github.com/repos/huggingface/transformers/issues/20577 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20577/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20577/comments | https://api.github.com/repos/huggingface/transformers/issues/20577/events | https://github.com/huggingface/transformers/pull/20577 | 1,474,584,853 | PR_kwDOCUB6oc5EPAu_ | 20,577 | Add OneFormer Model | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Hi @praeclarumjj3, thanks a lot for your PR. It's awesome OneFormer will be available in the library (we already have [MaskFormer](https://huggingface.co/docs/transformers/model_doc/maskformer) and plan to add Mask2Former as well).\r... | 1,670 | 1,674 | 1,674 | CONTRIBUTOR | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/20576 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20576/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20576/comments | https://api.github.com/repos/huggingface/transformers/issues/20576/events | https://github.com/huggingface/transformers/issues/20576 | 1,474,548,432 | I_kwDOCUB6oc5X49LQ | 20,576 | Flan-T5 returns incomplete results | {
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"You can set min_length and max_length in model.generate() to adjust the length of generation settings. By default, max_length is not very long.",
"It works! Thanks!\r\n\r\n> You can set min_length and max_length in model.generate() to adjust the length of generation settings. By default, max_length is not very l... | 1,670 | 1,670 | 1,670 | NONE | null | ### System Info
transformer version: 4.19.2
platform: Linux
python: 3.8.13
### Who can help?
@LysandreJik
### Information
- [X] The official example scripts
- [X] My own modified scripts
### Tasks
- [X] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own... | {
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https://api.github.com/repos/huggingface/transformers/issues/20575 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20575/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20575/comments | https://api.github.com/repos/huggingface/transformers/issues/20575/events | https://github.com/huggingface/transformers/issues/20575 | 1,474,509,382 | I_kwDOCUB6oc5X4zpG | 20,575 | model.generate() function raise a exception | {
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"cc @sanchit-gandhi and @gante ",
"Hey @yumoqing, \r\n\r\nIn this case, it's just the code snippet on the [model README](https://huggingface.co/facebook/s2t-small-librispeech-asr) that's wrong. Pasting a corrected version of the code snippet that you can use:\r\n```python\r\nimport torch\r\nfrom transformers impo... | 1,670 | 1,670 | 1,670 | NONE | null | ### System Info
- `transformers` version: 4.23.1
- Platform: Linux-5.15.0-53-generic-x86_64-with-glibc2.35
- Python version: 3.10.6
- Huggingface_hub version: 0.10.1
- PyTorch version (GPU?): 1.13.0+cu117 (False)
- Tensorflow version (GPU?): 2.10.0 (False)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- J... | {
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"Hi @Mellobrainbox, could you fill the template with the language you are interested in?"
] | 1,670 | 1,670 | null | NONE | null | <!--
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Let's bring the documentation to all the <languageName>-speaking community π (currently 0 out of 267 complete)
Who would want to translate? Please follow the π€ [TRANSLATING guide](https://github.com/hug... | {
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https://api.github.com/repos/huggingface/transformers/issues/20573 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20573/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20573/comments | https://api.github.com/repos/huggingface/transformers/issues/20573/events | https://github.com/huggingface/transformers/pull/20573 | 1,474,308,188 | PR_kwDOCUB6oc5EOBCd | 20,573 | Add Multi Resolution Analysis (MRA) | {
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"cc @amyeroberts and @NielsRogge ",
"Hello @amyeroberts, thank you so much for going over the code! I've made changes to my branch and left some questions in the above suggestions. Please take a look at them when you are available. I also have a few additional questions and clarifications:\r\n\r\n> Can you add an... | 1,670 | 1,689 | 1,687 | CONTRIBUTOR | null | # Add Multi Resolution Analysis (MRA) for Approximate Self-Attention (Old PR)
This PR adds the MRA model to the repository.
Paper: [https://arxiv.org/pdf/2207.10284.pdf](https://arxiv.org/pdf/2207.10284.pdf)
Code: [https://github.com/mlpen/mra-attention](https://github.com/mlpen/mra-attention)
To-do:
- [ ... | {
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<!--
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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"cc @gante ",
"Hi @hogru πΒ Having a popular project like `transformers` means we get many support and feature requests β if we want to maximize how much we help the community, the community has to help us stay productive π\r\n\r\nTo that end, please share a *short* script where the issue is clearly reproducible... | 1,670 | 1,671 | 1,671 | NONE | null | ### System Info
- `transformers` version: 4.24.0
- Platform: macOS-10.16-x86_64-i386-64bit
- Python version: 3.9.12
- Huggingface_hub version: 0.11.0
- PyTorch version (GPU?): 1.12.0 (False)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not ... | {
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https://api.github.com/repos/huggingface/transformers/issues/20570 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20570/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20570/comments | https://api.github.com/repos/huggingface/transformers/issues/20570/events | https://github.com/huggingface/transformers/pull/20570 | 1,474,259,052 | PR_kwDOCUB6oc5EN2sC | 20,570 | Add TFBartForSequenceClassification | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"_The documentation is not available anymore as the PR was closed or merged._",
"@ydshieh @sgugger Thank you both for your insightful reviews. Pushed some changes and posed a question back. ",
"Thanks again @ydshieh\r\n\r\nI'm a... | 1,670 | 1,670 | 1,670 | CONTRIBUTOR | null | # What does this PR do?
This adds a sequence classification head to the TensorFlow implementation of BART, following the pattern of `BartForSequenceClassification` (PyTorch version)
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https://api.github.com/repos/huggingface/transformers/issues/20569 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20569/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20569/comments | https://api.github.com/repos/huggingface/transformers/issues/20569/events | https://github.com/huggingface/transformers/pull/20569 | 1,474,202,620 | PR_kwDOCUB6oc5ENrD4 | 20,569 | Spanish translation of asr.mdx and add_new_pipeline.mdx | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"I think I committed all the suggested changes, thanks @osanseviero !",
"Thanks again for your contribution!"
] | 1,670 | 1,670 | 1,670 | CONTRIBUTOR | null | # What does this PR do?
Translates `asr.mdx` and `add_new_pipeline.mdx` into Spanish. Also updates the `_toctree.yml` file accordingly. Includes minor typo corrections for the original versions of both files and the translated version of a file I had previously worked on.
Related to #15947
## Before submitting... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@ydshieh Can you give some more points of what exactly is to be done?\r\n\r\nAs per the points given by you, I need to first create 2 texts let's say `A long paragraph for summarization.` and `Another paragraph for`, and then encode ... | 1,670 | 1,670 | 1,670 | CONTRIBUTOR | null | # What does this PR do?
Added missing `test_tokenization_led`, was similar to Bart tokenizer made some changes by testing it in local environment
@sgugger
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https://api.github.com/repos/huggingface/transformers/issues/20567 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20567/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20567/comments | https://api.github.com/repos/huggingface/transformers/issues/20567/events | https://github.com/huggingface/transformers/issues/20567 | 1,474,152,325 | I_kwDOCUB6oc5X3ceF | 20,567 | Whether to use 'logits' or 'loss' in LabelSmoother | {
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"Please use the [forums](https://discuss.huggingface.co/) to ask such questions, as we keep issues for bugs and feature requests only. The labels are popped when we use label smoothing, so the loss is not included in the ouputs/",
"This issue has been automatically marked as stale because it has not had recent ac... | 1,670 | 1,673 | 1,673 | NONE | null | ### System Info
- 'transformers' version: 4.24.0
### Who can help?
_No response_
### Information
- [X] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or dataset (give details below)
### ... | {
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https://api.github.com/repos/huggingface/transformers/issues/20566 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20566/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20566/comments | https://api.github.com/repos/huggingface/transformers/issues/20566/events | https://github.com/huggingface/transformers/pull/20566 | 1,474,130,527 | PR_kwDOCUB6oc5ENcft | 20,566 | Spanish translation of the file debugging.mdx | {
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"Can you just add the new file to the TOC of the Spanish doc? (in `transformers/docs/source/es/_toctree.yml`)",
"@sgugger like that is fine? Tried to mimic the eng TOC creating the same section \"Rendimiento y escalabilidad\"",
"_The documentation is not available anymore as the PR was closed or merged._",
"A... | 1,670 | 1,670 | 1,670 | CONTRIBUTOR | null | # What does this PR do?
Fixes #[15947](https://github.com/huggingface/transformers/issues/15947)
Adds the Spanish version of [debugging.mdx](https://github.com/huggingface/transformers/blob/master/docs/source/en/debugging.mdx) to [transformers/docs/source/es](https://github.com/huggingface/transformers/tree/main/do... | {
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https://api.github.com/repos/huggingface/transformers/issues/20565 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20565/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20565/comments | https://api.github.com/repos/huggingface/transformers/issues/20565/events | https://github.com/huggingface/transformers/issues/20565 | 1,473,950,266 | I_kwDOCUB6oc5X2rI6 | 20,565 | Train with multiple eval datasets raises an Exception | {
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"A workaround (or solution) for the problem that I found is as follows:\r\n\r\n1. Add an optional parameter to evaluate the method in trainer called ``multiple`` and default it to False\r\n2. change the line of code logging happens from:\r\n```\r\nself.control = self.callback_handler.on_evaluate(self.args, self.sta... | 1,670 | 1,694 | 1,673 | NONE | null | ### System Info
Transformers: 4.25.1
Python: 3.10.8
OS: Manajro-KDE
### Who can help?
@sgugger
### Information
- [ ] The official example scripts
- [X] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [X] My own task or d... | {
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https://api.github.com/repos/huggingface/transformers/issues/20564 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20564/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20564/comments | https://api.github.com/repos/huggingface/transformers/issues/20564/events | https://github.com/huggingface/transformers/pull/20564 | 1,473,684,904 | PR_kwDOCUB6oc5EL4Ua | 20,564 | make states contiguous for past_key_values | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,670 | 1,670 | 1,670 | NONE | null | Add contiguous for key and value states.
If someone uses past_key_values, it seems to raise the following exception:
`
RuntimeError: view size is not compatible with input tensorβs size and stride ...
`
since bart executes torch.cat in BartAttention class:
`
key_states = torch.cat([past_key_value[0], key_s... | {
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"cc @ArthurZucker \r\n\r\n@xyjigsaw could you please add a complete reproducible code snippet here though? \r\n\r\nWe cannot run:\r\n\r\n```python\r\noutputs = self.bart(input_ids=input_ids, attention_mask=attention_mask, past_key_values=past_key_values, labels=labels)\r\n```\r\n\r\nbecause we don't know what `inpu... | 1,670 | 1,673 | 1,673 | NONE | null | ### System Info
- `transformers` version: 4.18.0
- Platform: Linux-5.4.0-109-generic-x86_64-with-glibc2.31
- Python version: 3.9.12
- Huggingface_hub version: 0.2.1
- PyTorch version (GPU?): 1.11.0 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Oh, looks like something went wrong in your rebase (see the diff showing lots of files). You can either force-push a commit (with --force) to repare the history for git, or close this PR and open a fresh one."
] | 1,670 | 1,670 | 1,670 | CONTRIBUTOR | null | When running HuggingFace BERT (any size) fine-tuning tutorial with transformers version >= 4.21.0 and using XLA_USE_BF16=1 or XLA_DOWNCAST_BF16=1, I see NaNs in the loss after the first step.
# What does this PR do?
This PR addresses the issue where the model code passes a value that is out of range for XLA_USE_... | {
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] | 1,670 | 1,670 | 1,670 | MEMBER | null | This PR fixes the code sample to use the new `ImageProcessor` in the code sample for preprocessing an image. | {
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https://api.github.com/repos/huggingface/transformers/issues/20560 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20560/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20560/comments | https://api.github.com/repos/huggingface/transformers/issues/20560/events | https://github.com/huggingface/transformers/pull/20560 | 1,473,398,092 | PR_kwDOCUB6oc5EK6ZY | 20,560 | Fix link to table transformer detection microsoft model | {
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] | 1,670 | 1,691 | 1,670 | CONTRIBUTOR | null | # What does this PR do?
Similar to #20558 the linking to the `microsoft/table-transformer-detection` model seems to be outdated or it has a typo and redirects to a 404. | {
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] | 1,670 | 1,670 | 1,670 | MEMBER | null | This PR groups `AutoModel`, `TFAutoModel` and `FlaxAutoModel` by modality to make them easier to discover. | {
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] | 1,670 | 1,691 | 1,670 | CONTRIBUTOR | null | # What does this PR do?
The link `https://huggingface.co/microsoft/swinv2_tiny_patch4_windows8_256/` redirects to a 404. The actual link is https://huggingface.co/microsoft/swinv2-tiny-patch4-window8-256.
At the same time, loading the configuration using
```python3
from transformers import AutoConfig
config =... | {
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] | 1,670 | 1,691 | 1,670 | CONTRIBUTOR | null | # What does this PR do?
Fixes `>` typo in `https://huggingface.co/novice03>` link that redirects to 404 not found site.
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] | 1,670 | 1,670 | 1,670 | CONTRIBUTOR | null | # What does this PR do?
Fixes the loading of the model `EleutherAI/gpt-j-6B` as the current code links `EleutherAI/gptj-6B` which does not exist and ends up failing the test. | {
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] | 1,670 | 1,670 | 1,670 | CONTRIBUTOR | null | ## Before submitting
- [*] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
Documentation: @sgugger | {
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] | 1,670 | 1,670 | 1,670 | COLLABORATOR | null | # What does this PR do?
These are vision models, and they don't form encoder-decoder themselves (unlike some text models like `Bart`).
Furthermore, the current default value (specified in each config class `__init__`) for these configs are `False`, which is the same as the default value in `PretrainedConfig`. So... | {
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"@sgugger @jianan-gu please have a review",
"_The documentation is not available anymore as the PR was closed or merged._",
"@sgugger done, please have a review of it."
] | 1,669 | 1,670 | 1,670 | CONTRIBUTOR | null | β¦prediction
Signed-off-by: Wang, Yi A <yi.a.wang@intel.com>
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"Yes, there is no argument to pass that information, so in this instance you should either build the scheduler yourself and pass it, or subclass the `Trainer` to override the `create_scheduler` method, whichever you prefer.\r\n\r\nIn both cases the formula you passed should give the good number of training steps!",... | 1,669 | 1,705 | 1,673 | NONE | null | ### System Info
- `transformers` version: 4.24.0
- Platform: macOS-10.16-x86_64-i386-64bit
- Python version: 3.9.12
- Huggingface_hub version: 0.11.0
- PyTorch version (GPU?): 1.12.0 (False)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not ... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,669 | 1,670 | 1,670 | COLLABORATOR | null | # What does this PR do?
Add entries to `FEATURE_EXTRACTOR_MAPPING_NAMES`
Not sure if there was any reason not to add these entries in `FEATURE_EXTRACTOR_MAPPING_NAMES`.
Furthermore, without these entries, we get some test failures for the (WIP) improved pipeline tests, because we now can generate tiny models f... | {
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https://api.github.com/repos/huggingface/transformers/issues/20550 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20550/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20550/comments | https://api.github.com/repos/huggingface/transformers/issues/20550/events | https://github.com/huggingface/transformers/pull/20550 | 1,472,592,418 | PR_kwDOCUB6oc5EIKXo | 20,550 | Add BiT + ViT hybrid | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thanks so much @sgugger for your review ! \r\nI should have updated everything and the main models are now up:\r\n- https://huggingface.co/google/vit-hybrid-base-bit-384 \r\n- https://huggingface.co/google/bit-50"
] | 1,669 | 1,670 | 1,670 | CONTRIBUTOR | null | # What does this PR do?
This PR adds ViT hybrid to the library. As ViT hybrid uses BiT as backbone, this PR also adds BiT as a standalone model.
BiT itself is very similar to a ResNetv2, except that it replaces batch norm layers by group norm and uses "weight standardized" convolutional layers.
To do:
- [x]... | {
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https://api.github.com/repos/huggingface/transformers/issues/20549 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20549/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20549/comments | https://api.github.com/repos/huggingface/transformers/issues/20549/events | https://github.com/huggingface/transformers/issues/20549 | 1,472,542,612 | I_kwDOCUB6oc5XxTeU | 20,549 | processor.model_input_names doesn't work as it should be | {
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"Also cc'ing @sgugger and @amyeroberts here",
"There is no generic call method of the processors, like there is for the tokenizers, so to enforce that `model_input_names` only returns the keys you want, it's up to you to have the call method of your processor filter those outputs.\r\n\r\nAs for the second point, ... | 1,669 | 1,673 | 1,673 | CONTRIBUTOR | null | ### System Info
Transformers, main branch
### Who can help?
@SaulLu
### Information
- [ ] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or dataset (give details below)
... | {
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https://api.github.com/repos/huggingface/transformers/issues/20548 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20548/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20548/comments | https://api.github.com/repos/huggingface/transformers/issues/20548/events | https://github.com/huggingface/transformers/issues/20548 | 1,472,396,458 | I_kwDOCUB6oc5Xwvyq | 20,548 | Maked Patch in ViT and VilT | {
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"Hi,\r\n\r\nThis comment is actually outdated as currently, self-supervised pre-training beats supervised pre-training, with models like [BEiT](https://huggingface.co/docs/transformers/model_doc/beit), [MAE](https://huggingface.co/docs/transformers/model_doc/vit_mae) as well as SimMIM. \r\n\r\nAll 3 are based on ma... | 1,669 | 1,673 | 1,673 | NONE | null | ### System Info
Hi,
I did check in vit docs from this link thttps://huggingface.co/transformers/v4.6.0/model_doc/vit.html
It said "The best results are obtained with supervised pre-training, which is not the case in NLP. The authors also performed an experiment with a self-supervised pre-training objective, na... | {
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https://api.github.com/repos/huggingface/transformers/issues/20547 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20547/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20547/comments | https://api.github.com/repos/huggingface/transformers/issues/20547/events | https://github.com/huggingface/transformers/pull/20547 | 1,472,381,046 | PR_kwDOCUB6oc5EHczh | 20,547 | Replace `set-output` by `$GITHUB_OUTPUT` | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,669 | 1,670 | 1,670 | COLLABORATOR | null | # What does this PR do?
Apply the suggestion in [GitHub Actions: Deprecating save-state and set-output commands](https://github.blog/changelog/2022-10-11-github-actions-deprecating-save-state-and-set-output-commands/) to avoid deprecated actions. | {
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https://api.github.com/repos/huggingface/transformers/issues/20546 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20546/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20546/comments | https://api.github.com/repos/huggingface/transformers/issues/20546/events | https://github.com/huggingface/transformers/pull/20546 | 1,472,379,213 | PR_kwDOCUB6oc5EHcaD | 20,546 | Install natten with CUDA version | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,669 | 1,670 | 1,670 | COLLABORATOR | null | # What does this PR do?
The PR #20511 install `natten`, but on GPU machines, we need install it with CUDA supported versions. | {
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https://api.github.com/repos/huggingface/transformers/issues/20545 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20545/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20545/comments | https://api.github.com/repos/huggingface/transformers/issues/20545/events | https://github.com/huggingface/transformers/issues/20545 | 1,472,362,095 | I_kwDOCUB6oc5XwnZv | 20,545 | add MeMViT model | {
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"Hi @fcakyon, MeMViT definitely seems interesting and we would be happy to see it added to transformers!\r\n\r\nIf you haven't done so, you can start by taking a look at our [existing video classification models](https://huggingface.co/models?pipeline_tag=video-classification&sort=downloads) to see if there are any... | 1,669 | 1,702 | null | CONTRIBUTOR | null | ### Model description
[MeMViT, CVPR 2022](https://arxiv.org/abs/2201.08383) is the most efficient transformer-based video understanding model, and META AI released it. Its efficient online attention calculation mechanism decreases computation by 30 times compared to SOTA video classification models.
It would be a... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Wow, this is really comprehensive! All of your edits seem good, and thanks for catching those duplicate functions!\r\n\r\nThe code is failing some of our code style checks, but I believe I can fix that for you, hang on!",
"I think ... | 1,669 | 1,670 | 1,670 | CONTRIBUTOR | null | # What does this PR do?
This PR generally adds type hints for the files located at `src/transformers/models/esm/openfold_utils/`.
0. add function/method parameter type hints where missing; add type info on collections
1. export `dict_multimap`, `flatten_final_dims`, `permute_final_dims` in `__init__.py` since th... | {
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https://api.github.com/repos/huggingface/transformers/issues/20543 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20543/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20543/comments | https://api.github.com/repos/huggingface/transformers/issues/20543/events | https://github.com/huggingface/transformers/issues/20543 | 1,472,232,657 | I_kwDOCUB6oc5XwHzR | 20,543 | CLIPProcessor.from_pretrained is None | {
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"Could you try:\r\n- updating Transforemrs to the latest version\r\n- make sure you have all optional dependencies necessary for CLIP (PILlow mainly)",
"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 th... | 1,669 | 1,673 | 1,673 | NONE | null | ### System Info
transformers version: 4.20.1
### Who can help?
@patil-suraj
### Information
- [X] The official example scripts
- [ ] My own modified scripts
### Tasks
- [X] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or dataset (give details below)
### Repro... | {
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https://api.github.com/repos/huggingface/transformers/issues/20542 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20542/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20542/comments | https://api.github.com/repos/huggingface/transformers/issues/20542/events | https://github.com/huggingface/transformers/issues/20542 | 1,472,186,261 | I_kwDOCUB6oc5Xv8eV | 20,542 | cannot import name 'ReduceOp' from 'torch.distributed' | {
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"Changed from using SegformerForSemanticSegmentation to using AutoModelForSemanticSegmentation, the import now works fine but loading the pretrained model does not.\r\n\r\n```\r\nfrom transformers import AutoFeatureExtractor, AutoModelForSemanticSegmentation\r\nfeature_extractor = AutoFeatureExtractor.from_pretrain... | 1,669 | 1,684 | 1,673 | NONE | null | ### System Info
Transformers version: 4.21.2
Platform: NVIDIA Jetson Xavier NX
Python version: 3.8.10
PyTorch version: '1.13.0a0+936e9305.nv22.11'
Errors out when trying to import SegformerForSemanticSegmentation, came back to test my code after not using it for a long while, changed nothing about the environm... | {
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"@ArthurZucker could you take a look? :-) ",
"DeepSpeed only supports PyTorch and the script you mention is for Flax. I don't think there is anything that can be done ;-)",
"Thanks for letting me know. Is there anything for distributed training on Flax models "
] | 1,669 | 1,670 | 1,670 | NONE | null | ### System Info
- `transformers` version: 4.24.0.dev0
- Platform: Linux-3.10.0-1127.18.2.el7.x86_64-x86_64-with-glibc2.17
- Python version: 3.8.13
- Huggingface_hub version: 0.10.1
- PyTorch version (GPU?): 1.8.2+cu111
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): 0.6.1
- Jax ... | {
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https://api.github.com/repos/huggingface/transformers/issues/20540 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20540/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20540/comments | https://api.github.com/repos/huggingface/transformers/issues/20540/events | https://github.com/huggingface/transformers/pull/20540 | 1,471,918,754 | PR_kwDOCUB6oc5EF5YF | 20,540 | run_speech_recognition_seq2seq.py: add `cache_dir` to load_dataset() | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"cc @sanchit-gandhi "
] | 1,669 | 1,670 | 1,670 | CONTRIBUTOR | null | null | {
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https://api.github.com/repos/huggingface/transformers/issues/20539 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20539/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20539/comments | https://api.github.com/repos/huggingface/transformers/issues/20539/events | https://github.com/huggingface/transformers/issues/20539 | 1,471,822,128 | I_kwDOCUB6oc5Xujkw | 20,539 | Support token suppression, forced tokens (besides eos and bos), and decoder prompting for flax generation | {
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"@sanchit-gandhi @patil-suraj @gante ",
"Did we decide to implement these features in the Flax Whisper PR in the end? cc @ArthurZucker",
"@sanchit-gandhi @ArthurZucker I just added these back into the Flax Whisper PR",
"Cool! Closing this issue in favour of the PR https://github.com/huggingface/transformers/p... | 1,669 | 1,670 | 1,670 | CONTRIBUTOR | null | ### Feature request
Add logits processors for token suppression and forced tokens at specific indices.
Enable prompting the decoder of encoder-decoder models with decoder_input_ids.
### Motivation
Currently, the flax generation utilities do not support token suppression, forcing specific tokens to be decoded at spe... | {
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https://api.github.com/repos/huggingface/transformers/issues/20538 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20538/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20538/comments | https://api.github.com/repos/huggingface/transformers/issues/20538/events | https://github.com/huggingface/transformers/pull/20538 | 1,471,778,716 | PR_kwDOCUB6oc5EFaNl | 20,538 | cross platform from_pretrained | {
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"Works great for sharded `pytorch` since a utility was already implemented. Though we are not gonna push for `Flax`, would still help to have the support already! \r\n```python \r\nfrom transformers import TFT5ForConditionalGeneration\r\nMODEL_NAME = \"google/flan-t5-xl\"\r\nm = TFT5ForConditionalGeneration.from_pr... | 1,669 | 1,670 | 1,670 | COLLABORATOR | null | # What does this PR do?
Allows loading sharded checkpoints in TF models. Should fix #19965
- [x] `from_pt=True`
- [ ] `from_flax=True`
cc @sgugger just FYI | {
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https://api.github.com/repos/huggingface/transformers/issues/20537 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20537/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20537/comments | https://api.github.com/repos/huggingface/transformers/issues/20537/events | https://github.com/huggingface/transformers/pull/20537 | 1,471,708,099 | PR_kwDOCUB6oc5EFK6q | 20,537 | Update some GH action versions | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,669 | 1,670 | 1,670 | COLLABORATOR | null | # What does this PR do?
(I am running part of the CI to make sure nothing is broken by this PR)
We get a lot of warnings on CI summary page
```bash
Node.js 12 actions are deprecated. For more information see: https://github.blog/changelog/2022-09-22-github-actions-all-actions-will-begin-running-on-node16-instea... | {
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https://api.github.com/repos/huggingface/transformers/issues/20536 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20536/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20536/comments | https://api.github.com/repos/huggingface/transformers/issues/20536/events | https://github.com/huggingface/transformers/pull/20536 | 1,471,682,279 | PR_kwDOCUB6oc5EFFWM | 20,536 | [Vision] `.to` function for ImageProcessors | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Here is a quick v1, but I am afraid it's a bit too much in the sense that I am literally testing every possible combination \r\nAlso regarding tests, we can remove them or put them as slow. I checked with `deit`, `vit` & `vilt` (for ... | 1,669 | 1,670 | 1,670 | CONTRIBUTOR | null | # What does this PR do?
PoC for adding `.to` support on ImageProcessors
related #20453
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https://api.github.com/repos/huggingface/transformers/issues/20535 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20535/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20535/comments | https://api.github.com/repos/huggingface/transformers/issues/20535/events | https://github.com/huggingface/transformers/pull/20535 | 1,471,636,431 | PR_kwDOCUB6oc5EE7SV | 20,535 | Add ESM contact prediction | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@sgugger All suggestions included!"
] | 1,669 | 1,669 | 1,669 | MEMBER | null | This PR adds the `ContactPredictionHead` for ESM (both PT and TF). I also need to update some weights on our uploaded models to support this! | {
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https://api.github.com/repos/huggingface/transformers/issues/20534 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20534/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20534/comments | https://api.github.com/repos/huggingface/transformers/issues/20534/events | https://github.com/huggingface/transformers/pull/20534 | 1,471,444,748 | PR_kwDOCUB6oc5EERj2 | 20,534 | [ResNet] Fix doctest | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,669 | 1,669 | 1,669 | CONTRIBUTOR | null | # What does this PR do?
This PR fixes the failing doctest for `ResNetBackbone`. | {
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https://api.github.com/repos/huggingface/transformers/issues/20533 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20533/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20533/comments | https://api.github.com/repos/huggingface/transformers/issues/20533/events | https://github.com/huggingface/transformers/issues/20533 | 1,471,389,644 | I_kwDOCUB6oc5Xs5_M | 20,533 | Transformer XL training fails because of IndexError due to change in ModuleList for torch>1.11 | {
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"Thanks for reporting but could you give us a short reproducer as our CI didn't catch any regression here?",
"> Thanks for reporting but could you give us a short reproducer as our CI didn't catch any regression here?\r\n\r\nI run it as a part of fairseq. This test case-https://github.com/facebookresearch/fairseq... | 1,669 | 1,675 | 1,675 | NONE | null | ### System Info
Transformer version- 4.24
Torch version> 1.11
Stacktrace:
```
venv/lib/python3.8/site-packages/transformers/models/transfo_xl/modeling_transfo_xl.py:1115: in forward
softmax_output = self.crit(pred_hid, labels)
venv/lib/python3.8/site-packages/torch/nn/modules/module.py:1190: in _call_impl... | {
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https://api.github.com/repos/huggingface/transformers/issues/20532 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20532/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20532/comments | https://api.github.com/repos/huggingface/transformers/issues/20532/events | https://github.com/huggingface/transformers/issues/20532 | 1,471,240,342 | I_kwDOCUB6oc5XsViW | 20,532 | Add run_gsg.py and run_gsg_no_trainer.py pre-training scripts to examples | {
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"We try to avoid having examples that are too specific in the maintained examples, as we don't have the bandwidth for too many of them. How about you host it in a repo of yourself and then link to it from the model pages in our doc as well as the community page?",
"Ah I see, not problem that seems like a good alt... | 1,669 | 1,670 | 1,670 | CONTRIBUTOR | null | ### Feature request
Models such as Pegasus and LongT5 have been pretrained using Gap Sentences Generation (GSG) strategy rather the typical Masked Language Modelling (MLM).
This pre-training strategy leads to improved performance in certain language tasks such as [summarisation](https://arxiv.org/pdf/1912.08777.pd... | {
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https://api.github.com/repos/huggingface/transformers/issues/20531 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20531/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20531/comments | https://api.github.com/repos/huggingface/transformers/issues/20531/events | https://github.com/huggingface/transformers/pull/20531 | 1,471,154,961 | PR_kwDOCUB6oc5EDSDR | 20,531 | Fix `ConditionalDetrForSegmentation` doc example | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,669 | 1,669 | 1,669 | COLLABORATOR | null | # What does this PR do?
Need this change after PR #20160. This was done for `DetrForSegmentation`, but we missed it for `ConditionalDetrForSegmentation` | {
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https://api.github.com/repos/huggingface/transformers/issues/20530 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20530/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20530/comments | https://api.github.com/repos/huggingface/transformers/issues/20530/events | https://github.com/huggingface/transformers/pull/20530 | 1,471,100,832 | PR_kwDOCUB6oc5EDGJE | 20,530 | Doc-generate | {
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Adds documentation for the `generate`function. It superseeds #17873 opened previously. | {
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https://api.github.com/repos/huggingface/transformers/issues/20529 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20529/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20529/comments | https://api.github.com/repos/huggingface/transformers/issues/20529/events | https://github.com/huggingface/transformers/pull/20529 | 1,471,065,575 | PR_kwDOCUB6oc5EC-mh | 20,529 | Change transformers.onnx to use optimum.exporters.onnx | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,669 | 1,670 | 1,670 | MEMBER | null | # What does this PR do?
As the title say. The `transformers.onnx` command-line tool now uses the `optimum.exporters.onnx` command-line tool in the background, and redirects the user to use this tool directly for the next times (same in the documentation). | {
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https://api.github.com/repos/huggingface/transformers/issues/20528 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20528/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20528/comments | https://api.github.com/repos/huggingface/transformers/issues/20528/events | https://github.com/huggingface/transformers/pull/20528 | 1,471,052,891 | PR_kwDOCUB6oc5EC70z | 20,528 | Update `ZeroShotObjectDetectionPipeline` doc example | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,669 | 1,669 | 1,669 | COLLABORATOR | null | # What does this PR do?
As @amyeroberts mentioned in #20160, there is some tiny difference after that PR, and we need this update to pass the doctests. | {
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https://api.github.com/repos/huggingface/transformers/issues/20527 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20527/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20527/comments | https://api.github.com/repos/huggingface/transformers/issues/20527/events | https://github.com/huggingface/transformers/pull/20527 | 1,471,038,144 | PR_kwDOCUB6oc5EC4nl | 20,527 | fix plbart doctest | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@ydshieh @sgugger I just want to know how this PR works and why was the doctests failing earlier? Thanks in advance!",
"As the PR description mentioned, PR #19980 changed `PLBartTokenizer`, and some expected outputs in the tests ha... | 1,669 | 1,670 | 1,669 | COLLABORATOR | null | # What does this PR do?
We need to update the expect output in doc example after PR #19980 | {
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https://api.github.com/repos/huggingface/transformers/issues/20526 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20526/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20526/comments | https://api.github.com/repos/huggingface/transformers/issues/20526/events | https://github.com/huggingface/transformers/issues/20526 | 1,471,023,658 | I_kwDOCUB6oc5Xrgoq | 20,526 | Crash on google colab | {
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"cc @sanchit-gandhi ",
"Hey @GoldDRoge! So the issue lies with the `processor.feature_extractor` call method?\r\n\r\nCould you provide a Google Colab link / reproducible code snippet I can run to get this error?\r\n\r\nLooks like you're using local audio data. For the shared Colab link / reproducible code snippet... | 1,669 | 1,676 | 1,676 | NONE | null | ### System Info
google colab
transformers==4.20.0
https://github.com/kpu/kenlm/archive/master.zip
pyctcdecode==0.4.0
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [X] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` f... | {
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https://api.github.com/repos/huggingface/transformers/issues/20525 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20525/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20525/comments | https://api.github.com/repos/huggingface/transformers/issues/20525/events | https://github.com/huggingface/transformers/pull/20525 | 1,471,015,452 | PR_kwDOCUB6oc5ECzht | 20,525 | [BT] add links to `optimum` docs | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,669 | 1,669 | 1,669 | CONTRIBUTOR | null | # What does this PR do?
This PR adds link to `BetterTransformer` documentation on `transformers` documentation
cc @ydshieh @michaelbenayoun @fxmarty
| {
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https://api.github.com/repos/huggingface/transformers/issues/20524 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20524/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20524/comments | https://api.github.com/repos/huggingface/transformers/issues/20524/events | https://github.com/huggingface/transformers/pull/20524 | 1,470,986,136 | PR_kwDOCUB6oc5ECtOt | 20,524 | added docs to time series transformer's generate function | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_20524). All of your documentation changes will be reflected on that endpoint."
] | 1,669 | 1,676 | 1,676 | CONTRIBUTOR | null | # What does this PR do?
Added docs to the time series transformer's generate function.
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/mai... | {
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https://api.github.com/repos/huggingface/transformers/issues/20523 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20523/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20523/comments | https://api.github.com/repos/huggingface/transformers/issues/20523/events | https://github.com/huggingface/transformers/pull/20523 | 1,470,973,621 | PR_kwDOCUB6oc5ECqkH | 20,523 | Change doctests ci launch time | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,669 | 1,669 | 1,669 | COLLABORATOR | null | # What does this PR do?
Current doctests CI is launched at 0h (GTM+0), but the docker images are built at 1h (GTM+0), while modeling CI is at 2h (GTM+0).
It happens a few times that we change something in doctest docker image workflow file, expect the failed tests will pass in the next run, and turns out it is ... | {
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https://api.github.com/repos/huggingface/transformers/issues/20522 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20522/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20522/comments | https://api.github.com/repos/huggingface/transformers/issues/20522/events | https://github.com/huggingface/transformers/pull/20522 | 1,470,963,814 | PR_kwDOCUB6oc5ECod4 | 20,522 | QnA example: add speed metric | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,669 | 1,669 | 1,669 | CONTRIBUTOR | null | Examples:
@sgugger
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https://api.github.com/repos/huggingface/transformers/issues/20521 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20521/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20521/comments | https://api.github.com/repos/huggingface/transformers/issues/20521/events | https://github.com/huggingface/transformers/pull/20521 | 1,470,898,337 | PR_kwDOCUB6oc5ECaPW | 20,521 | Fix OwlViTFeatureExtractor.post_process_image_guided_detection device incompatibility issue | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thank you for the fast response!"
] | 1,669 | 1,669 | 1,669 | CONTRIBUTOR | null | fixes https://github.com/huggingface/transformers/issues/20513 | {
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https://api.github.com/repos/huggingface/transformers/issues/20520 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20520/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20520/comments | https://api.github.com/repos/huggingface/transformers/issues/20520/events | https://github.com/huggingface/transformers/pull/20520 | 1,470,888,355 | PR_kwDOCUB6oc5ECYIl | 20,520 | Add RemBERT ONNX config | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"> Hi @hchings, the PR looks excellent! Did you try to run tests locally?\r\n> \r\n> ```\r\n> RUN_SLOW=1 pytest tests/onnx/test_onnx_v2.py -k \"rembert\"\r\n> ```\r\n> \r\n> Could you also remove the `Fixes #...` before the link to th... | 1,669 | 1,670 | 1,670 | CONTRIBUTOR | null | # What does this PR do?
Add RemBERT ONNX config (part of https://github.com/huggingface/transformers/issues/16308)
The max absolute difference between reference model and ONNX exported model is around `2e-05` in testings. I learned from other PRs that this discrepancy is within an acceptable range so I loosen the ... | {
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https://api.github.com/repos/huggingface/transformers/issues/20519 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20519/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20519/comments | https://api.github.com/repos/huggingface/transformers/issues/20519/events | https://github.com/huggingface/transformers/issues/20519 | 1,470,771,143 | I_kwDOCUB6oc5Xqi_H | 20,519 | 'WhisperTokenizer' object has no attribute 'set_prefix_tokens' | {
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"Hi @nethermanpro, I'm not a maintainer, but I think I know what is going on. \r\n\r\nIt seems that in `transformers 4.24.0`, the method `set_prefix_tokens` is not present in this version. You can find it in this repository in the main branch, if you want to use it, you will need to install transformers directly ... | 1,669 | 1,669 | 1,669 | NONE | null | ### System Info
- `transformers` version: 4.24.0
- Platform: Linux-5.15.0-52-generic-x86_64-with-glibc2.27
- Python version: 3.9.15
- Huggingface_hub version: 0.11.0
- PyTorch version (GPU?): 1.13.0 (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/20518 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20518/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20518/comments | https://api.github.com/repos/huggingface/transformers/issues/20518/events | https://github.com/huggingface/transformers/pull/20518 | 1,470,710,489 | PR_kwDOCUB6oc5EBxpf | 20,518 | [WIP] Add Atlas - Retrieval Augmented Language Model | {
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"This branch is very much a WIP currently, but for anyone interested here is roughly how I plan to structure things, aiming to roughly mesh the shape of the original implementation with Transformer's existing patterns. For the most part, I hope to make its usage as similar as possible to `T5ForConditionalGeneration... | 1,669 | 1,687 | 1,680 | NONE | null | # What does this PR do?
Implements Atlas: Few-shot Learning with Retrieval Augmented Language Model as mentioned here
https://github.com/huggingface/transformers/issues/20503
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [ ] Did... | {
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https://api.github.com/repos/huggingface/transformers/issues/20517 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20517/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20517/comments | https://api.github.com/repos/huggingface/transformers/issues/20517/events | https://github.com/huggingface/transformers/pull/20517 | 1,470,483,696 | PR_kwDOCUB6oc5EBAfy | 20,517 | Fix link in pipeline device map | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,669 | 1,669 | 1,669 | MEMBER | null | This PR fixes the broken link in the pipeline `device_map` parameter. | {
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https://api.github.com/repos/huggingface/transformers/issues/20516 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20516/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20516/comments | https://api.github.com/repos/huggingface/transformers/issues/20516/events | https://github.com/huggingface/transformers/pull/20516 | 1,470,439,383 | PR_kwDOCUB6oc5EA2Mf | 20,516 | Fix Hubert models in TFHubertModel and TFHubertForCTC documentation code | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,669 | 1,669 | 1,669 | CONTRIBUTOR | null | # What does this PR do?
This PR updates the used models in the `TFHubertModel` and `TFHubertModelForCTC` example codes to the same model used in `HubertModel` and `HubertModelForCTC` other examples in the same documentation as `"facebook/hubert-base-960h"` does not exist and the actual code doesn't run. | {
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https://api.github.com/repos/huggingface/transformers/issues/20515 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20515/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20515/comments | https://api.github.com/repos/huggingface/transformers/issues/20515/events | https://github.com/huggingface/transformers/pull/20515 | 1,470,176,815 | PR_kwDOCUB6oc5D_8fT | 20,515 | Add some warning for Dynamo and enable TF32 when it's set | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,669 | 1,669 | 1,669 | COLLABORATOR | null | # What does this PR do?
This PR adds a warning when a user sets torchdynamo without an Ampere GPU (or higher) and also enables TF32 unless the user explicitly asked not it with `--no_tf32` to get the best performance. | {
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https://api.github.com/repos/huggingface/transformers/issues/20514 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20514/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20514/comments | https://api.github.com/repos/huggingface/transformers/issues/20514/events | https://github.com/huggingface/transformers/issues/20514 | 1,470,065,134 | I_kwDOCUB6oc5Xn2nu | 20,514 | Why tflite model output shape is different than the original model converted from T5ForConditionalGeneration? | {
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"You reloaded your model in a `TFT5Model`, which is not the same as `T5ForConditionalGeneration`: it's the base model without the decoder.",
"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\nPl... | 1,669 | 1,678 | 1,678 | NONE | null | ### System Info
- `transformers` version: 4.24.0
- Platform: Linux-5.10.133+-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.7.15
- Huggingface_hub version: 0.11.1
- PyTorch version (GPU?): 1.12.1+cu113 (True)
- Tensorflow version (GPU?): 2.9.2 (True)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Ja... | {
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https://api.github.com/repos/huggingface/transformers/issues/20513 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20513/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20513/comments | https://api.github.com/repos/huggingface/transformers/issues/20513/events | https://github.com/huggingface/transformers/issues/20513 | 1,470,022,809 | I_kwDOCUB6oc5XnsSZ | 20,513 | owlvit image guided detection does not work in gpu (cuda) | {
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"Hi @fcakyon, thanks for bringing this up! You can expect a fix PR shortly.\r\n\r\nAs a side note, we open new issues and PRs for bugs to make it easier to track improvements. You can directly include your fix suggestions in the issue.",
"I will try to open a PR, give me few mins π ",
"@alaradirik tried to ope... | 1,669 | 1,669 | 1,669 | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.25.0.dev0
- Platform: Linux-5.4.0-132-generic-x86_64-with-glibc2.10
- Python version: 3.8.5
- 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)
... | {
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https://api.github.com/repos/huggingface/transformers/issues/20512 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20512/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20512/comments | https://api.github.com/repos/huggingface/transformers/issues/20512/events | https://github.com/huggingface/transformers/pull/20512 | 1,469,958,913 | PR_kwDOCUB6oc5D_NqT | 20,512 | Update expected output in `AutomaticSpeechRecognitionPipeline` doc example | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,669 | 1,669 | 1,669 | COLLABORATOR | null | # What does this PR do?
The failed doc example uses `openai/whisper-base`. Maybe same reason in #20493, so I just updated the expected output.
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] | 1,669 | 1,669 | 1,669 | COLLABORATOR | null | # What does this PR do?
So we can run the tests for `dinat` model. | {
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https://api.github.com/repos/huggingface/transformers/issues/20510 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20510/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20510/comments | https://api.github.com/repos/huggingface/transformers/issues/20510/events | https://github.com/huggingface/transformers/pull/20510 | 1,469,894,601 | PR_kwDOCUB6oc5D-_wW | 20,510 | Fix Data2VecTextForCasualLM example code documentation | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,669 | 1,669 | 1,669 | CONTRIBUTOR | null | # What does this PR do?
Fixes documentation of Data2VecTextForCasualLM example code, as it is currently importing `Data2VecTextTokenizer`, which does not exist, and the tokenizer is actually `RobertaTokenizer`. At the same time, the model name `"data2vec-base"` does not exist, and it doesn't particularly say to crea... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
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<!--
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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/20508 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20508/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20508/comments | https://api.github.com/repos/huggingface/transformers/issues/20508/events | https://github.com/huggingface/transformers/issues/20508 | 1,469,760,668 | I_kwDOCUB6oc5XmsSc | 20,508 | more_itertools required for Whisper normaliser | {
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"Totally agree here! If we only use window and it is pretty short, makes sense to implement it! But IIRC it was a pretty long dependency. ",
"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\nPl... | 1,669 | 1,676 | 1,673 | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.25.0.dev0
- Platform: macOS-12.5-arm64-arm-64bit
- Python version: 3.8.9
- Huggingface_hub version: 0.10.0
- PyTorch version (GPU?): 1.11.0 (False)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): 0.5.1 (cpu)
- Jax version: 0.3.6
- J... | {
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https://api.github.com/repos/huggingface/transformers/issues/20507 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20507/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20507/comments | https://api.github.com/repos/huggingface/transformers/issues/20507/events | https://github.com/huggingface/transformers/pull/20507 | 1,469,668,726 | PR_kwDOCUB6oc5D-Oy6 | 20,507 | Fix TF nightly tests | {
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"Don't worry, it was a really small fix! Just making sure you saw this so you didn't get confused about why your code was being changed.",
"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,669 | 1,669 | 1,669 | MEMBER | null | This PR fixes two issues with the TF tests:
1) `test_saved_model_creation` failed sometimes because the dict being passed to the saved model didn't match the inputs it was traced/compiled with. This should be fixed now.
2) Some of the tests for the new `TFGPT2Tokenizer` (cc @piEsposito) were using `is_tensorflow_... | {
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https://api.github.com/repos/huggingface/transformers/issues/20506 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20506/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20506/comments | https://api.github.com/repos/huggingface/transformers/issues/20506/events | https://github.com/huggingface/transformers/pull/20506 | 1,469,436,328 | PR_kwDOCUB6oc5D9cRr | 20,506 | [modelcard] Update dataset tags | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Here's an example @lewtun \r\n\r\nBefore: https://huggingface.co/sanchit-gandhi/whisper-debug/blob/88128010f73114cc2274868938ccbf6c373b15c5/README.md#L11-L20\r\n\r\nAfter: https://huggingface.co/sanchit-gandhi/whisper-debug/blob/3be9... | 1,669 | 1,687 | 1,669 | CONTRIBUTOR | null | # What does this PR do?
Currently, the `model-index` portion of the model cards generated by Trainer reference the train dataset and omit the dataset split and config. This PR:
1. Uses the **eval dataset** to build the yaml data for the model card rather than the **train dataset** by default. Why? Because the yam... | {
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"@sanchit-gandhi could you take a look here? ",
"Hey @bofenghuang! Thanks for opening this issue. \r\n\r\nFor context, we use the adapter layer when combining the Wav2Vec2 model in a sequence-to-sequence combination (see https://github.com/huggingface/transformers/tree/main/examples/pytorch/speech-recognition#war... | 1,669 | 1,670 | 1,670 | CONTRIBUTOR | null | ### System Info
Hi!
As mentioned in https://github.com/huggingface/transformers/issues/20451, the layer dropout in `Wav2Vec2Adapter` may produce outputs with different lengths.
I understand the use of layerdrop in transformer structure, but do we need it in CNNs (`Wav2Vec2Adapter`)?
https://github.com/hugging... | {
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https://api.github.com/repos/huggingface/transformers/issues/20504 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20504/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20504/comments | https://api.github.com/repos/huggingface/transformers/issues/20504/events | https://github.com/huggingface/transformers/pull/20504 | 1,469,117,958 | PR_kwDOCUB6oc5D8YO1 | 20,504 | fix ipex+fp32 jit trace model inference error in ipex 1.13 | {
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"@jianan-gu ",
"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,669 | 1,669 | 1,669 | CONTRIBUTOR | null | error show like: βCurrently the auto_kernel_selection does not support the grad mode! Please add torch.no_grad() before the inference runtime..β since jit mode only work in inference mode, it's safe to add such logic.
Fixes # (issue)
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you c... | {
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"Hi all!\r\n\r\nSuper appreciative of the authors for open-sourcing this model, really exciting stuff.\r\n\r\nI'm planning on having a go at implementing this model here. Aware there are others who have been looking at similar models in the past (https://github.com/huggingface/transformers/issues/15387), so thought... | 1,669 | 1,680 | null | NONE | null | ### Model description
Atlas is a retrieval-augmented seq2seq language model comprised of a Contriever retriever and fusion-in-decoder (FID) architecture (which uses T5), introduced in the paper [Atlas: Few-shot Learning with Retrieval Augmented Language Models](https://arxiv.org/pdf/2208.03299.pdf)
From the paper... | {
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"You need to upgrade your version of Transformers as it's pretty old and many bugs with the cache system have been fixed since then.",
"Thank you. Upgrade fixes the problem"
] | 1,669 | 1,670 | 1,670 | NONE | null | ### System Info
- `transformers` version: 4.9.2
- Platform: Linux-5.4.0-109-generic-x86_64-with-glibc2.29
- Python version: 3.8.10
- PyTorch version (GPU?): 1.10.0a0+git36449ea (True)
- Tensorflow version (GPU?): 2.4.0 (True)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not installed
- Jax... | {
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https://api.github.com/repos/huggingface/transformers/issues/20501 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20501/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20501/comments | https://api.github.com/repos/huggingface/transformers/issues/20501/events | https://github.com/huggingface/transformers/pull/20501 | 1,468,849,214 | PR_kwDOCUB6oc5D7fim | 20,501 | Update doc examples feature extractor -> image processor | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,669 | 1,669 | 1,669 | COLLABORATOR | null | # What does this PR do?
Replaces vision feature extractor references with image processors throughout transformers documentation.
Places where changes didn't happen:
* Vision models which use a `Processor` class. Some processor classes still have `feature_extractor_class` property, to be removed in future.
*... | {
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https://api.github.com/repos/huggingface/transformers/issues/20500 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20500/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20500/comments | https://api.github.com/repos/huggingface/transformers/issues/20500/events | https://github.com/huggingface/transformers/issues/20500 | 1,468,844,757 | I_kwDOCUB6oc5XjMrV | 20,500 | Unstable generation results when using Top-p decoding | {
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"Gently pinging @gante here",
"Hi @bilalghanem π \r\n\r\nTop-p has randomness -- when using `top_p=0.9`, `generate()` picks a token among the top candidate tokens, where the sum of the probability of those top candidates is >= 0.9. In other words, unless you model predicts a token with probability > 0.9 at each ... | 1,669 | 1,676 | 1,676 | NONE | null | ### System Info
I trained a T5-base model for a translation task. I use Top-p decoding strategy to generate text.
Something is weird in the model; every time I ask the model to generate text for the given same input, it generates a different text. When I fix the random seed, the model starts to generate the exact ... | {
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"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md) a... | 1,669 | 1,676 | 1,673 | NONE | null | ### System Info
- `transformers` version: 4.24.0
- Platform: Linux-5.10.133+-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.7.15
- Huggingface_hub version: 0.11.1
- PyTorch version (GPU?): 1.12.1+cu113 (True)
- Tensorflow version (GPU?): 2.9.2 (True)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Ja... | {
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https://api.github.com/repos/huggingface/transformers/issues/20498 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20498/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20498/comments | https://api.github.com/repos/huggingface/transformers/issues/20498/events | https://github.com/huggingface/transformers/pull/20498 | 1,468,616,031 | PR_kwDOCUB6oc5D6s2a | 20,498 | Repurpose torchdynamo training args towards torch._dynamo | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,669 | 1,669 | 1,669 | COLLABORATOR | null | # What does this PR do?
This PR re-uses the current `torchdynamo` training argument to be compatible with the internal module of PyTorch (in the nightlies). This is slightly breaking but at the same time the torchdynamo package has migrated to PyTorch proper, and the integration was marked as experimental.
The "f... | {
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#20321 was only tested with safetensors checkpoints containing multiple shards. The code failed for full checkpoints, this PR fixes it. | {
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https://api.github.com/repos/huggingface/transformers/issues/20494 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20494/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20494/comments | https://api.github.com/repos/huggingface/transformers/issues/20494/events | https://github.com/huggingface/transformers/issues/20494 | 1,468,498,808 | I_kwDOCUB6oc5Xh4N4 | 20,494 | PyTorch training scripts freeze when preprocessing_num_workers > 1 | {
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"Any update here ?",
"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/... | 1,669 | 1,673 | 1,673 | NONE | null | ### System Info
transformers 4.24.0
datasets 2.7.1
Dockerfile: https://github.com/aws/deep-learning-containers/blob/master/pytorch/training/docker/1.12/py3/cu113/Dockerfile.gpu
### Who can help?
@sgugger, @patil-sura
### Information
- [X] The official example scripts
- [ ] My own modified scripts
### Tasks
-... | {
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https://api.github.com/repos/huggingface/transformers/issues/20493 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20493/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20493/comments | https://api.github.com/repos/huggingface/transformers/issues/20493/events | https://github.com/huggingface/transformers/pull/20493 | 1,468,486,459 | PR_kwDOCUB6oc5D6Q-5 | 20,493 | [CI, WHISPER] fix the latest failing test | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,669 | 1,669 | 1,669 | COLLABORATOR | null | # What does this PR do?
In a recent update, we followed the original code which changed some of the suppress tokens for better performances. This lead to a small change in the output of on particular case. Tested with the original code and we have the correct output now!
See [here](https://huggingface.co/openai/whi... | {
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https://api.github.com/repos/huggingface/transformers/issues/20492 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20492/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20492/comments | https://api.github.com/repos/huggingface/transformers/issues/20492/events | https://github.com/huggingface/transformers/pull/20492 | 1,468,434,115 | PR_kwDOCUB6oc5D6Fzo | 20,492 | Support extraction of both train and eval XLA graphs | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thanks so much @sgugger ! "
] | 1,669 | 1,669 | 1,669 | CONTRIBUTOR | null | Neuron supports extraction of XLA graphs for compilation. However, when both do_train and do_eval options are enabled, sizes returned by tensor operator can be 0. To avoid INVALID_ARGUMENT error, we use inequality in the check whether a tensor needs padding or not.
# What does this PR do?
This PR reduces compilat... | {
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https://api.github.com/repos/huggingface/transformers/issues/20491 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20491/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20491/comments | https://api.github.com/repos/huggingface/transformers/issues/20491/events | https://github.com/huggingface/transformers/pull/20491 | 1,468,394,338 | PR_kwDOCUB6oc5D58-V | 20,491 | Fix documentation code to import facebook/detr-resnet-50 model | {
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] | 1,669 | 1,669 | 1,669 | CONTRIBUTOR | null | # What does this PR do?
Changes example import line
`>>> model = DetrForObjectDetection.from_pretrained("facebook/resnet-50")`
to
`>>> model = DetrForObjectDetection.from_pretrained("facebook/detr-resnet-50")`
As trying to import `"facebook/resnet-50"` raises:
```
OSError: facebook/resnet-50 is n... | {
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https://api.github.com/repos/huggingface/transformers/issues/20490 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20490/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20490/comments | https://api.github.com/repos/huggingface/transformers/issues/20490/events | https://github.com/huggingface/transformers/pull/20490 | 1,468,334,601 | PR_kwDOCUB6oc5D5v6g | 20,490 | fixed small typo | {
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] | 1,669 | 1,669 | 1,669 | CONTRIBUTOR | null | # What does this PR do?
This PR fixes a small typo in VAN model.
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md#start-co... | {
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] | 1,669 | 1,669 | 1,669 | COLLABORATOR | null | # What does this PR do?
Turns out it all works fine with PyTorch 1.10 which contains `torch.cuda.mem_get_info` used by Accelerate (but this isn't in the documentation of PyTorch 1.10). | {
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https://api.github.com/repos/huggingface/transformers/issues/20488 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20488/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20488/comments | https://api.github.com/repos/huggingface/transformers/issues/20488/events | https://github.com/huggingface/transformers/pull/20488 | 1,467,949,790 | PR_kwDOCUB6oc5D4coR | 20,488 | remove truncation in whisper | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Hey @ArthurZucker ,\r\n\r\nJust got an error, seems related to this issue?\r\n\r\n`RuntimeError: The size of tensor a (507) must match the size of tensor b (448) at non-singleton dimension 1`",
"@RK-BAKU This PR is not merged yet.... | 1,669 | 1,669 | 1,669 | COLLABORATOR | null | # What does this PR do?
remove truncation in whisper | {
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] | 1,669 | 1,669 | 1,669 | COLLABORATOR | null | # What does this PR do?
This PR uses the change in #20474 to collect the warnings in our GH scheduled daily CI, and provide a button in the slack reports to access this information.
<img width="493" alt="image" src="https://user-images.githubusercontent.com/2521628/204501762-1ed46a7c-4a91-40ba-9b16-3288168f0dfc.p... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"This will require #20485 to be merged, otherwise the logits for `fp16_sampling` will differ. ",
"I will wait the mentioned PR #20485 :-) then back to this one. Also see my comment in that PR π @ArthurZucker π ",
"I'll just pus... | 1,669 | 1,669 | 1,669 | COLLABORATOR | null | # What does this PR do?
Fixes the OOM issue with the `5b` model and `fp16` sampling.
Also fixes the slow generation test by sending each prior to `cuda` only when they are actually used. | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Hi @ArthurZucker \r\n\r\nFor this issue and the fix in the PR, it's would be very nice if you could provide a code snippet to demonstrate what is currently wrong to justify the fix. It will also help future developers (either inside ... | 1,669 | 1,669 | 1,669 | COLLABORATOR | null | # What does this PR do?
This adresses a very particular bug found when `base_model_prefix` is specific to the instance.
The `JukeboxPrior` are defined by their level of generation. Thus to each level, the corresponding base model prefix : `priors.0`.
When load the checkpoints from a pretrained `JukeboxModel`, the ... | {
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