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https://api.github.com/repos/huggingface/transformers/issues/15363 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15363/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15363/comments | https://api.github.com/repos/huggingface/transformers/issues/15363/events | https://github.com/huggingface/transformers/pull/15363 | 1,115,971,873 | PR_kwDOCUB6oc4xqcyX | 15,363 | fix bug in run_clm.py | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_15363). All of your documentation changes will be reflected on that endpoint.",
"May cause errors \"ValueError: expected sequence of length 1024 at dim 1 (got 79)\". This pull request can solve this problem",
"This is n... | 1,643 | 1,646 | 1,646 | NONE | null | Sorry I don't have time to follow contributor guideline.
group_texts function in transformers/examples/pytorch/language-modeling/run_clm.py will lead to training failure.
This is because the possibility that the length of a batch is too small is not considered.
I hope this can help some people.
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https://api.github.com/repos/huggingface/transformers/issues/15362 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15362/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15362/comments | https://api.github.com/repos/huggingface/transformers/issues/15362/events | https://github.com/huggingface/transformers/issues/15362 | 1,115,783,903 | I_kwDOCUB6oc5CgYLf | 15,362 | Unexpected shape of "past_key_values" of ProphetNetDecoder.forward() | {
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"For ONNX related issues, gently pinging @lewtun here",
"@patrickvonplaten, thanks.\r\nI think that this issue relates not only using ONNX because it is contradiction between document and actual outputs. ",
"Ok, I see so the problem is the documentation here? There might very well be a bug in the documentation.... | 1,643 | 1,646 | 1,646 | NONE | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: 4.15.0
- Platform: colab
- Python version: 3.7.12
- PyTorch version (GPU?): 1.10.0+cu111
- Tensorflow versi... | {
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https://api.github.com/repos/huggingface/transformers/issues/15361 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15361/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15361/comments | https://api.github.com/repos/huggingface/transformers/issues/15361/events | https://github.com/huggingface/transformers/pull/15361 | 1,115,714,437 | PR_kwDOCUB6oc4xpnRH | 15,361 | Set syncfree AdamW as the default optimizer for xla:gpu device in amp mode | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thanks a lot for your PR! I think it would be better to be less magical and offer the option of using this optimizer through a new choice (for instance named adamw_syncfree) in the `--optim` parameter instead of changing the default.... | 1,643 | 1,643 | 1,643 | CONTRIBUTOR | null | This PR sets the syncfree AdamW ([#3294](https://github.com/pytorch/xla/pull/3294)) as the default optimizer for xla:gpu device in amp mode. The syncfree AdamW optimizer shows 20%+ throughput speedup in the run_mlm test case.
Tested with the following script:
```sh
GPU_NUM_DEVICES=1 python run_mlm.py \
--mode... | {
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https://api.github.com/repos/huggingface/transformers/issues/15360 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15360/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15360/comments | https://api.github.com/repos/huggingface/transformers/issues/15360/events | https://github.com/huggingface/transformers/pull/15360 | 1,115,610,309 | PR_kwDOCUB6oc4xpR-5 | 15,360 | Add tensor parallelism related mappings | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"In my opinion, this mapping + module replacement is the easiest and the most extensible way to implement tensor parallelism now. That's why we need this mapping. However, I've found there were three models (ProphetNet, BigBird, Squee... | 1,643 | 1,644 | 1,644 | CONTRIBUTOR | null | Discussed in https://github.com/huggingface/transformers/issues/13690
In addition, I also created some helper functions.
cc @RezaYazdaniAminabadi @lucasleesw
## Reviewers
@stas00 @jaketae @siddk | {
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https://api.github.com/repos/huggingface/transformers/issues/15359 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15359/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15359/comments | https://api.github.com/repos/huggingface/transformers/issues/15359/events | https://github.com/huggingface/transformers/issues/15359 | 1,115,474,662 | I_kwDOCUB6oc5CfMrm | 15,359 | Error when running the T5 pre-training script | {
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"Hey @hugoabonizio , could you please have a look at:\r\n\r\nhttps://github.com/huggingface/transformers/issues/12755\r\n\r\nI've seen the same issue, my current workaround is to try-catch `data_collator` calls:\r\n\r\n```diff\r\n@@ -813,13 +818,17 @@ def main():\r\n \r\n # Gather the indexes for creating t... | 1,643 | 1,649 | 1,649 | CONTRIBUTOR | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: 4.15.0
- Platform: Linux-5.4.0-1043-gcp-x86_64-with-glibc2.29
- Python version: 3.8.10
- PyTorch version (GP... | {
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https://api.github.com/repos/huggingface/transformers/issues/15358 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15358/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15358/comments | https://api.github.com/repos/huggingface/transformers/issues/15358/events | https://github.com/huggingface/transformers/issues/15358 | 1,115,412,313 | I_kwDOCUB6oc5Ce9dZ | 15,358 | Ignored unknown kwarg option direction, while running run_mlm.py (pytorch) | {
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"cc @sgugger ",
"Looks like a problem in the tokenizers. What's your version of the Tokenizers library?",
"@sgugger\r\ntokenizers version = '0.9.4'",
"I think you might need to upgrade it.",
"Okay, upgraded tokenizers to 0.11.0.\r\ni can confirm that running run_mlm.py script doesn't throw that error anymor... | 1,643 | 1,652 | 1,643 | NONE | null | transformers_version == '4.16.0.dev0'
using script ```run_mlm.py``` (pytorch)
with following parameters
```
!python run_mlm.py \
--output_dir "./test-roberta-base" \
--model_type "roberta" \
--config_name "./test-roberta-base" \
--tokenizer_name "./test-roberta-base" \
--train_file "./tra... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_15357). All of your documentation changes will be reflected on that endpoint.",
"regarding to https://github.com/huggingface/transformers/issues/15330#issuecomment-1021930267",
"locally the tests are just getting skipped,... | 1,643 | 1,644 | 1,644 | CONTRIBUTOR | null | # What does this PR do?
<!--
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"_The documentation is not available anymore as the PR was closed or merged._",
"@patrickvonplaten was very involved in those two models, but @Rocketknight1 and @gante may also take a look",
"> It looks good to me, as it recovers a pattern lost in the transition and lowers the error. I'm assuming this PR is als... | 1,643 | 1,651 | 1,643 | COLLABORATOR | null | # What does this PR do?
The computation of `diagonal_mask` in `TFLEDEncoderSelfAttention`, and `inputs["attention_mask"]` in `TFLEDEncoder` differ from `LEDEncoderSelfAttention` and `LEDEncoder`.
This cause the `logits` and `decoder hidden states` differs in the range `1e-5 ~ 5e-5`, and `encoder hidden states` di... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"And thanks again for the proposed improvements, @ngoquanghuy99!"
] | 1,643 | 1,643 | 1,643 | CONTRIBUTOR | null | Reverts incorrect changes merged in https://github.com/huggingface/transformers/pull/15346 | {
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"Hi,\r\n\r\nThe Vision Transformer currently isn't supported to work with TorchScript (test is disabled [here](https://github.com/huggingface/transformers/blob/c4d1fd77fa52d72b66207c6002d3ec13cc36dca8/tests/test_modeling_vit.py#L157)).\r\n\r\ncc'ing @lewtun who can perhaps assist here to add support for it.",
"Th... | 1,643 | 1,696 | null | NONE | null | ## Environment info
- `transformers` version: 4.15.0
- Platform: Linux-5.4.144+-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.7.12
- PyTorch version (GPU?): 1.10.0+cu111 (True)
- Tensorflow version (GPU?): 2.7.0 (True)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not installed
- JaxL... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,643 | 1,643 | 1,643 | COLLABORATOR | null | # What does this PR do?
Fixes to the Yoso config documentation. | {
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https://api.github.com/repos/huggingface/transformers/issues/15352 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15352/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15352/comments | https://api.github.com/repos/huggingface/transformers/issues/15352/events | https://github.com/huggingface/transformers/pull/15352 | 1,115,324,375 | PR_kwDOCUB6oc4xoZNm | 15,352 | Allow relative imports in dynamic code | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,643 | 1,643 | 1,643 | COLLABORATOR | null | # What does this PR do?
This PR ensures one can use relative imports when defining a module.py (or other kinds of file) living on the Hub. Without this, writing a custom configuration and wanting to use it in a custom model fails, line this [repo](https://huggingface.co/hf-internal-testing/test_dynamic_model).
To... | {
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https://api.github.com/repos/huggingface/transformers/issues/15351 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15351/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15351/comments | https://api.github.com/repos/huggingface/transformers/issues/15351/events | https://github.com/huggingface/transformers/pull/15351 | 1,115,305,834 | PR_kwDOCUB6oc4xoVtb | 15,351 | Fix KerasMetricCallback prediction with generate() and inference of column names | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,643 | 1,643 | 1,643 | MEMBER | null | A number of fixes to the Keras metric callback based on testing with the notebooks. I think I've caught all the implementation differences, and in most cases we can now pass exactly the same `compute_metrics` function to this callback as to `Trainer`.
I'm still in the process of overhauling the notebooks, so I might... | {
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https://api.github.com/repos/huggingface/transformers/issues/15350 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15350/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15350/comments | https://api.github.com/repos/huggingface/transformers/issues/15350/events | https://github.com/huggingface/transformers/pull/15350 | 1,115,300,742 | PR_kwDOCUB6oc4xoVFO | 15,350 | Update doc writing guide | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,643 | 1,643 | 1,643 | COLLABORATOR | null | # What does this PR do?
This updates the guide for writing documentation to the latest changes. | {
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https://api.github.com/repos/huggingface/transformers/issues/15348 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15348/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15348/comments | https://api.github.com/repos/huggingface/transformers/issues/15348/events | https://github.com/huggingface/transformers/pull/15348 | 1,115,080,821 | PR_kwDOCUB6oc4xnpfk | 15,348 | Fix 'eval_split_name' described as defaulting to 'train' | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,643 | 1,643 | 1,643 | CONTRIBUTOR | null | # What does this PR do?
The default is correct (`test`) but the description is not.
## Before submitting
- [X] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
Cc: @sgugger, @patil-suraj | {
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https://api.github.com/repos/huggingface/transformers/issues/15347 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15347/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15347/comments | https://api.github.com/repos/huggingface/transformers/issues/15347/events | https://github.com/huggingface/transformers/issues/15347 | 1,114,989,470 | I_kwDOCUB6oc5CdWOe | 15,347 | A few minor questions regarding run_summarization.py in examples | {
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"Also, what does `task_specific_params `do during running the script `run_summarization.py`?\r\nWhen I am initializing the T5-model, the model configuration includes such parameters.\r\n```\r\n \"task_specific_params\": {\r\n \"summarization\": {\r\n \"early_stopping\": true,\r\n \"length_penalty\": 2.... | 1,643 | 1,646 | 1,646 | NONE | null | Hi, thank you for the amazing repo.
I'm currently using the script `run_summarization.py` from examples (I'm using ver 4.15.0).
When I run the code below, it seems that my trained model is not using beam search during generation.
Am I correct?
```
python examples/pytorch/summarization/run_summarization.py \
... | {
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https://api.github.com/repos/huggingface/transformers/issues/15346 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15346/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15346/comments | https://api.github.com/repos/huggingface/transformers/issues/15346/events | https://github.com/huggingface/transformers/pull/15346 | 1,114,858,665 | PR_kwDOCUB6oc4xm6h2 | 15,346 | Fix deepspeed docs | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"I'm sorry I overlooked mistakes in those two sentences. It's true those are not fixes, though the first one is not gramatically correct anyway.\r\n\r\nDo as you wish to fix those, I'll make sure to stay very far away form the deepspe... | 1,643 | 1,643 | 1,643 | CONTRIBUTOR | null | # What does this PR do?
<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
Then, please replace this w... | {
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https://api.github.com/repos/huggingface/transformers/issues/15345 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15345/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15345/comments | https://api.github.com/repos/huggingface/transformers/issues/15345/events | https://github.com/huggingface/transformers/issues/15345 | 1,114,845,918 | I_kwDOCUB6oc5CczLe | 15,345 | DebertaV2 For run_qa.py | {
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"DebertaV2TokenizerFast is close to being merged. If you look at the code in the PR, you can use it now. https://github.com/huggingface/transformers/pull/14928",
"OK! thank you~"
] | 1,643 | 1,643 | 1,643 | NONE | null | ## Environment info
- `transformers` version: 4.15.0
- Platform: Linux-4.4.0-142-generic-x86_64-with-debian-buster-sid
- Python version: 3.7.9
- PyTorch version (GPU?): 1.10.1 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): 0.3.5 (cpu)
- Jax version: 0.2.22
- JaxLib versi... | {
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https://api.github.com/repos/huggingface/transformers/issues/15344 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15344/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15344/comments | https://api.github.com/repos/huggingface/transformers/issues/15344/events | https://github.com/huggingface/transformers/issues/15344 | 1,114,844,357 | I_kwDOCUB6oc5CcyzF | 15,344 | wav2vec with LM leads to CPU OOM | {
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"https://github.com/huggingface/transformers/blob/v4.15.0/src/transformers/models/wav2vec2_with_lm/processing_wav2vec2_with_lm.py#L307\r\n\r\nI believe closing the pool process here should solve the issue !\r\n(`pool.close()`).\r\n\r\nFor maintainer info, I also ran into this issue and it seems a few memory leaks w... | 1,643 | 1,643 | 1,643 | NONE | null | ## Environment info
I used the code described in the blog post for [wav2vec with LMs](https://huggingface.co/blog/wav2vec2-with-ngram). Also posted this [on the forum](https://discuss.huggingface.co/t/wav2vec-with-new-lm-causing-cpu-oom/14069) and will update both.
### Who can help
@patrickvonplaten, @anton-l and ... | {
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https://api.github.com/repos/huggingface/transformers/issues/15343 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15343/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15343/comments | https://api.github.com/repos/huggingface/transformers/issues/15343/events | https://github.com/huggingface/transformers/pull/15343 | 1,114,843,941 | PR_kwDOCUB6oc4xm3dg | 15,343 | Fix `bad_words_ids` not working with sentencepiece-based tokenizers | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Hey @ngoquanghuy99, \r\n\r\nThat's a great fix - thanks a lot for diving into this :-) \r\nCould you run `make style` once so that the `check_code_quality` test goes green? "
] | 1,643 | 1,644 | 1,643 | CONTRIBUTOR | null | # What does this PR do?
This fixes the problem models using sentencepiece-based tokenizers can not prevent bad words when decoding.
For sentencepiece-based tokenizers like T5Tokenizer, when creating `bad_words_ids` from `bad_words`, `add_special_tokens` must be set to False.
## Code to reproduce
```python
from ... | {
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https://api.github.com/repos/huggingface/transformers/issues/15342 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15342/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15342/comments | https://api.github.com/repos/huggingface/transformers/issues/15342/events | https://github.com/huggingface/transformers/issues/15342 | 1,114,723,499 | I_kwDOCUB6oc5CcVSr | 15,342 | random word masking index shouble be great than 0 | {
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"cc @sgugger ",
"I don't think there is anything in the research article or the original pretraining code that excludes the pad token from the random words, so I would leave this as is. You can use your own data collator with any modification you want :-)",
"This issue has been automatically marked as stale bec... | 1,643 | 1,646 | 1,646 | NONE | null | ## Information
https://github.com/huggingface/transformers/blob/05fa1a7ac17bb7aa07b9e0c1e138ecb31a28bbfe/src/transformers/data/data_collator.py#L771
This line should be:
```python
random_words = torch.randint(1, len(self.tokenizer), labels.shape, dtype=torch.long)
```
because random word masking index should ... | {
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https://api.github.com/repos/huggingface/transformers/issues/15341 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15341/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15341/comments | https://api.github.com/repos/huggingface/transformers/issues/15341/events | https://github.com/huggingface/transformers/issues/15341 | 1,114,664,750 | I_kwDOCUB6oc5CcG8u | 15,341 | ValueError: No valid checkpoint found in output directory | {
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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/master/CONTRIBUTING.md)... | 1,643 | 1,649 | 1,649 | NONE | null | import sys
sys.path.append("./NeZha_Chinese_PyTorch-main/")
from transformers import BertTokenizer, WEIGHTS_NAME,TrainingArguments
from model.modeling_nezha import NeZhaForMaskedLM
from model.configuration_nezha import NeZhaConfig
from transformers import (
DataCollatorForLanguageModeling,
Trainer,
... | {
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https://api.github.com/repos/huggingface/transformers/issues/15340 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15340/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15340/comments | https://api.github.com/repos/huggingface/transformers/issues/15340/events | https://github.com/huggingface/transformers/issues/15340 | 1,114,643,788 | I_kwDOCUB6oc5CcB1M | 15,340 | CPU OOM when using IterableDataset with dataloader_num_workers > 0 | {
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"DO NOT USE `from itertools import cycle`",
"@Ethan-yt It works👍\r\n\r\n```\r\nclass DemoTrainDataset(IterableDataset):\r\n\r\n def __init__(self, data_file):\r\n super().__init__()\r\n self.data_file = data_file\r\n\r\n def __iter__(self):\r\n while True:\r\n with open(sel... | 1,643 | 1,646 | 1,646 | CONTRIBUTOR | null | ## Environment info
- `transformers` version: 4.15.0
- Platform: Linux-3.10.107-1-tlinux2_kvm_guest-0049-x86_64-with-glibc2.10
- Python version: 3.8.8
- PyTorch version (GPU?): 1.8.1 (False)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not ins... | {
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https://api.github.com/repos/huggingface/transformers/issues/15339 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15339/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15339/comments | https://api.github.com/repos/huggingface/transformers/issues/15339/events | https://github.com/huggingface/transformers/issues/15339 | 1,114,595,634 | I_kwDOCUB6oc5Cb2Ey | 15,339 | how can i write tensorboard when i train model with the script "run_speech_recognition_ctc.py" | {
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"Hey @JucyCherry,\r\n\r\nThanks for the issue! I think all you need to do is the following:\r\n\r\n1. Install `tensorboard`: https://pypi.org/project/tensorboard/\r\n2. Run training. The Trainer in the `run_speech_recognition_ctc.py` script automatically correctly uses the `tensorboard`.\r\n\r\nYou could try out th... | 1,643 | 1,645 | 1,645 | NONE | null | I found that there was no "outputdir/runs/" directory created during training ，is there any params to write tensorboard？
@sgugger @patrickvonplaten @anton-l
## Environment info
transformers 4.16.0.dev0
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https://api.github.com/repos/huggingface/transformers/issues/15338 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15338/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15338/comments | https://api.github.com/repos/huggingface/transformers/issues/15338/events | https://github.com/huggingface/transformers/issues/15338 | 1,114,538,983 | I_kwDOCUB6oc5CboPn | 15,338 | preprocessing_num_workers missing in run_summarization_no_trainer | {
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"Seems like an oversight. Do you want to make a PR to fix this?",
"> Seems like an oversight. Do you want to make a PR to fix this?\r\n\r\nSorry, I don't know how to make a PR."
] | 1,643 | 1,643 | 1,643 | NONE | null | Hello, I find that in script: https://github.com/huggingface/transformers/blob/master/examples/pytorch/summarization/run_summarization_no_trainer.py
The `preprocessing_num_workers` does not exist. It just appears in the arguments, but does not take effect in dataset map operations.
So is it intentionally missing ... | {
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https://api.github.com/repos/huggingface/transformers/issues/15337 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15337/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15337/comments | https://api.github.com/repos/huggingface/transformers/issues/15337/events | https://github.com/huggingface/transformers/pull/15337 | 1,114,538,544 | PR_kwDOCUB6oc4xl5I3 | 15,337 | Fix table formatting in SegFormer docs | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,643 | 1,643 | 1,643 | CONTRIBUTOR | null | # What does this PR do?
This PR fixes the Markdown table on the main SegFormer doc page. It was missing the line below the header that makes it a valid Markdown table.
Fixes #15334
## Before submitting
- [X] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
... | {
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"Hello, thanks for opening an issue! We try to keep the github issues for bugs/feature requests.\r\nCould you ask your question on the [forum](https://discuss.huggingface.co) instead?\r\n\r\nThanks!",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this stil... | 1,643 | 1,646 | 1,646 | NONE | null | I have trained GPT2 from scratch on a minority language which I tokenized with BPE.
When I finished training, the perplexity on the eval set was `678.80`, so I thought the model was really bad.
I however tried to sample from the model using very different sampling procedures, and finally got very coherent texts ... | {
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https://api.github.com/repos/huggingface/transformers/issues/15335 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15335/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15335/comments | https://api.github.com/repos/huggingface/transformers/issues/15335/events | https://github.com/huggingface/transformers/pull/15335 | 1,114,461,328 | PR_kwDOCUB6oc4xlpWc | 15,335 | Fix code format for Accelerate doc | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,643 | 1,643 | 1,643 | MEMBER | null | This PR fixes the format of externally linked code objects so they don't render like this:
Also replaces the side-by-side image with a code block because the image isn't e... | {
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https://api.github.com/repos/huggingface/transformers/issues/15334 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15334/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15334/comments | https://api.github.com/repos/huggingface/transformers/issues/15334/events | https://github.com/huggingface/transformers/issues/15334 | 1,114,355,384 | I_kwDOCUB6oc5Ca7a4 | 15,334 | Documentation for SegFormer includes improperly-formatted table | {
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"cc @NielsRogge What do you think?",
"Hi, I indeed saw that the table needs an update as we updated all docs from rst to markdown.\n\nWould be great if you could open a PR for this! Thanks."
] | 1,643 | 1,643 | 1,643 | CONTRIBUTOR | null | ## Environment info
- `transformers` version: 4.13.0 - present (4.15.0)
@sgugger , this is a documentation issue
## Information
The [SegFormer doc page](https://huggingface.co/docs/transformers/model_doc/segformer) has an improperly-formatted table for the different model variants.
I think the fix should... | {
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https://api.github.com/repos/huggingface/transformers/issues/15333 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15333/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15333/comments | https://api.github.com/repos/huggingface/transformers/issues/15333/events | https://github.com/huggingface/transformers/issues/15333 | 1,114,325,179 | I_kwDOCUB6oc5Ca0C7 | 15,333 | Fine-tune wave2vec trained checkpoint | {
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"cc @anton-l ",
"Hi @Omarnabk! The model is actually pretrained with an unsupervised objective (it never saw the target transcriptions) which is why there are no official pretrained LM heads available :slightly_smiling_face: \r\n\r\nAs far as I can see, you're doing everything correctly, but the audio clips in yo... | 1,643 | 1,646 | 1,646 | NONE | null | The tutorial of wav2vec says that the encoder model was originally trained on the common voice dataset. but all the fine-tuning tasks were trained on datasets from common voice. When fine-tuning wav2vec2 model, we fine-tuning the final linear classification layer only, right?
If this is the case, why don't you rele... | {
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https://api.github.com/repos/huggingface/transformers/issues/15332 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15332/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15332/comments | https://api.github.com/repos/huggingface/transformers/issues/15332/events | https://github.com/huggingface/transformers/pull/15332 | 1,114,302,920 | PR_kwDOCUB6oc4xlIL1 | 15,332 | Fix missing eps arg for LayerNorm in ElectraGeneratorPredictions | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thank you for checking all these issues @ydshieh 💯 \r\n\r\nI've seen a few examples where the TF LayerNorm eps is specified and the PT eps is not, merely because PT's default value is assumed (e.g. in BART: [PT example](https://gith... | 1,643 | 1,643 | 1,643 | COLLABORATOR | null | # What does this PR do?
`ElectraGeneratorPredictions` doesn't specify `eps`
https://github.com/huggingface/transformers/blob/0501beb84601651bf6a44c5a16ab0e5b98948f78/src/transformers/models/electra/modeling_electra.py#L650
but`TFElectraGeneratorPredictions` does
https://github.com/huggingface/transformers/bl... | {
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"You're using the inference API, right? cc @Narsil ",
"Hi @prateekralhan ,\r\n\r\nYour demo code doesn't use the API but seems to be using Streamlit, so I guess you envision using Spaces ?\r\n\r\nIf that's the case, I suggest you look a bit more into the API https://api-inference.huggingface.co/docs/python/html/i... | 1,643 | 1,643 | 1,643 | NONE | null | Hello folks,
Wish you all a belated happy new year! 🎉
First of all, thanks a ton for creating such transformers which have "transformed" the entire NLP landscape. 🤗
### Objective 🎯
I am working on developing a web application for performing multilingual translation using mBart and transformers of textual i... | {
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https://api.github.com/repos/huggingface/transformers/issues/15330 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15330/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15330/comments | https://api.github.com/repos/huggingface/transformers/issues/15330/events | https://github.com/huggingface/transformers/issues/15330 | 1,114,192,469 | I_kwDOCUB6oc5CaTpV | 15,330 | Deepspeed Wav2vec xlsr bug | {
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"It's very possible the problem is not related to deepspeed as it fails inside `modeling_wav2vec2.py`, but it could be related just as well.\r\n\r\nI don't think any of these newly added scripts were ever tested with Deepspeed, so I have no idea whether it's supposed to work or not. I don't know why the tests weren... | 1,643 | 1,647 | 1,647 | CONTRIBUTOR | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: master
- Platform: ubuntu
- Python version: 3.9
- PyTorch version (GPU?): yes
- Tensorflow version (GPU?):
... | {
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https://api.github.com/repos/huggingface/transformers/issues/15329 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15329/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15329/comments | https://api.github.com/repos/huggingface/transformers/issues/15329/events | https://github.com/huggingface/transformers/pull/15329 | 1,114,104,234 | PR_kwDOCUB6oc4xkeai | 15,329 | [WIP][Doctests] Fix rst -> mdx | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_15329). All of your documentation changes will be reflected on that endpoint.",
"@LysandreJik @sgugger, It'd be great if you could take a first look here.\r\n\r\nThere are essentially two things that I'd like to verify/disc... | 1,643 | 1,643 | 1,643 | MEMBER | null | # What does this PR do?
<!--
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Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
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https://api.github.com/repos/huggingface/transformers/issues/15328 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15328/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15328/comments | https://api.github.com/repos/huggingface/transformers/issues/15328/events | https://github.com/huggingface/transformers/pull/15328 | 1,114,044,873 | PR_kwDOCUB6oc4xkR0Q | 15,328 | improve saving strategy of sentencepiece tokenizer | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,643 | 1,643 | 1,643 | CONTRIBUTOR | null | # What does this PR do?
The slow tokenizer based on sentencepiece until now needed to access the original files (like `xxx/spiece.model`) that had been used to initialize them when we wanted to save them.
Since the version `0.1.91` of sentencepiece, there is a new method `serialized_model_proto` available which ... | {
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https://api.github.com/repos/huggingface/transformers/issues/15327 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15327/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15327/comments | https://api.github.com/repos/huggingface/transformers/issues/15327/events | https://github.com/huggingface/transformers/pull/15327 | 1,113,999,411 | PR_kwDOCUB6oc4xkILJ | 15,327 | Push to hub save | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"I think you're missing the fact that, apart from a push asked explicitly with `trainer.push_to_hub()` (or now `trainer.save_model()`) all other pushes are only done if the previous one is completely finished (see [here](https://githu... | 1,643 | 1,643 | 1,643 | COLLABORATOR | null | # What does this PR do?
This PR changes the documentation of the `push_to_hub` training argument to be in sync with the actual behavior, and also makes sure that when `push_to_hub=True`, a push is done every time the model is saved.
Fixes #15313 | {
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https://api.github.com/repos/huggingface/transformers/issues/15326 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15326/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15326/comments | https://api.github.com/repos/huggingface/transformers/issues/15326/events | https://github.com/huggingface/transformers/pull/15326 | 1,113,998,073 | PR_kwDOCUB6oc4xkH5O | 15,326 | Improve DistilBert attn mask | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_15326). All of your documentation changes will be reflected on that endpoint.",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please... | 1,643 | 1,650 | 1,650 | COLLABORATOR | null | # What does this PR do?
Current (PT) `DistilBert ` use `-float("inf")` in self attention layer:
```
scores = scores.masked_fill(mask, -float("inf")) # (bs, n_heads, q_length, k_length)`
```
When a sequence contains all 0s as attention mask, this will gives `-inf` and `nan` for `scores` and `weights` respectiv... | {
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https://api.github.com/repos/huggingface/transformers/issues/15325 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15325/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15325/comments | https://api.github.com/repos/huggingface/transformers/issues/15325/events | https://github.com/huggingface/transformers/issues/15325 | 1,113,924,649 | I_kwDOCUB6oc5CZSQp | 15,325 | OSError: You seem to have cloned a repository without having git-lfs installed. Please install git-lfs and run `git lfs install` followed by `git lfs pull` in the folder you cloned. | {
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"I've now **installed and initialised GIT LFS in cloned folder**.\r\n\r\nTerminal:\r\n```\r\nsh-4.2$ git lfs install\r\nGit LFS initialized.\r\nsh-4.2$ git clone https://huggingface.co/textattack/albert-base-v2-MRPC\r\nCloning into 'albert-base-v2-MRPC'...\r\nremote: Enumerating objects: 27, done.\r\nremote: Counti... | 1,643 | 1,643 | 1,643 | NONE | null | Based on [SO post](https://stackoverflow.com/q/70850015/17840900).
I'm using Jupyter Labs on AWS SageMaker.
Kernel: `conda_pytorch_p36` and did Restart & Run All.
I `git cloned` this [repo](https://huggingface.co/textattack/albert-base-v2-MRPC/tree/main).
Attempt at installing `git-lfs`:
```
!curl -s http... | {
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https://api.github.com/repos/huggingface/transformers/issues/15324 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15324/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15324/comments | https://api.github.com/repos/huggingface/transformers/issues/15324/events | https://github.com/huggingface/transformers/pull/15324 | 1,113,912,264 | PR_kwDOCUB6oc4xj1xe | 15,324 | [Tests] Fix test | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,643 | 1,643 | 1,643 | CONTRIBUTOR | null | # What does this PR do?
This PR fixes the failing SwinModelIntegrationTest.test_inference_image_classification_head.
It also makes sure the appropriate device is used in one of ViLT's integration tests, although this test still fails due to the non-deterministic behaviour of the model. Setting torch.manual_seed(2... | {
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https://api.github.com/repos/huggingface/transformers/issues/15323 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15323/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15323/comments | https://api.github.com/repos/huggingface/transformers/issues/15323/events | https://github.com/huggingface/transformers/issues/15323 | 1,113,793,418 | I_kwDOCUB6oc5CYyOK | 15,323 | MarianMT models translating valid Chinese sentences to empty string | {
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"Hey @erip,\r\n\r\nI can reproduce the problem! To me it seems to be a modeling issue. I've adapted the code snippet a bit so that we can see the actual tokens that are generated well:\r\n\r\n```python\r\nfrom transformers import AutoTokenizer, AutoModelForSeq2SeqLM\r\n\r\nfrom tqdm import tqdm\r\n\r\ndef chunk(it,... | 1,643 | 1,668 | 1,646 | CONTRIBUTOR | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: 4.15.0
- Platform: Linux-3.10.0-1160.53.1.el7.x86_64-x86_64-with-glibc2.17
- Python version: 3.8.12
- PyTorc... | {
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https://api.github.com/repos/huggingface/transformers/issues/15322 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15322/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15322/comments | https://api.github.com/repos/huggingface/transformers/issues/15322/events | https://github.com/huggingface/transformers/issues/15322 | 1,113,639,935 | I_kwDOCUB6oc5CYMv_ | 15,322 | modeling_visual_bert in case of self.bypass_transformer=True | {
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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/master/CONTRIBUTING.md)... | 1,643 | 1,646 | 1,646 | NONE | null | https://github.com/huggingface/transformers/blob/05fa1a7ac17bb7aa07b9e0c1e138ecb31a28bbfe/src/transformers/models/visual_bert/modeling_visual_bert.py#L830 The previous line should be changed from encoded_output --> encoder_outputs so that the return statement on line 861 works. Also, the following line https://github.c... | {
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https://api.github.com/repos/huggingface/transformers/issues/15321 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15321/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15321/comments | https://api.github.com/repos/huggingface/transformers/issues/15321/events | https://github.com/huggingface/transformers/pull/15321 | 1,113,626,341 | PR_kwDOCUB6oc4xi6rn | 15,321 | [Do not merge] Chase more pt tf inconsistency | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_15321). All of your documentation changes will be reflected on that endpoint.",
"In terms of running time\r\n\r\n- Circle CI\r\n - current : [56.11s](https://circleci.com/api/v1.1/project/github/huggingface/transformers/38... | 1,643 | 1,651 | 1,650 | COLLABORATOR | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/15320 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15320/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15320/comments | https://api.github.com/repos/huggingface/transformers/issues/15320/events | https://github.com/huggingface/transformers/pull/15320 | 1,113,566,894 | PR_kwDOCUB6oc4xivNw | 15,320 | Fix `bad_word_ids` not working with sentencepiece-based tokenizers | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_15320). All of your documentation changes will be reflected on that endpoint."
] | 1,643 | 1,643 | 1,643 | CONTRIBUTOR | null | # What does this PR do?
This fixes the problem models using sentencepiece-based tokenizers can not prevent bad words when decoding.
For sentencepiece-based tokenizers like T5Tokenizer, when creating `bad_words_ids` from `bad_words`, `add_special_tokens` must be set to False.
## Code to reproduce
```python
from ... | {
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https://api.github.com/repos/huggingface/transformers/issues/15319 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15319/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15319/comments | https://api.github.com/repos/huggingface/transformers/issues/15319/events | https://github.com/huggingface/transformers/pull/15319 | 1,113,004,301 | PR_kwDOCUB6oc4xg6Bv | 15,319 | fix the `tokenizer_config.json` file for the slow tokenizer when a fast version is available | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thank you so much for your review @sgugger !\r\n\r\nCould you tell me more about why \"I'm not entirely sure we should remove the filed from the global variables XXX_VOCAB_FILES_MAP as it would be breaking\", I'm afraid I'm missing s... | 1,643 | 1,643 | 1,643 | CONTRIBUTOR | null | # What does this PR do?
Following the diagnosis discussed and validated in the issue #15283, this PR proposes to modify `PreTrainedTokenizerBase` so that the `tokenizer_file` is no longer retrieved if the calling tokenizer class is of a slow type.
This PR also contains different changes:
- remove the key `"token... | {
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https://api.github.com/repos/huggingface/transformers/issues/15318 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15318/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15318/comments | https://api.github.com/repos/huggingface/transformers/issues/15318/events | https://github.com/huggingface/transformers/pull/15318 | 1,112,996,429 | PR_kwDOCUB6oc4xg4ZR | 15,318 | Fixing support `batch_size` and `num_return_Sequences` in `text-generation` pipeline | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Friendly ping @LysandreJik "
] | 1,643 | 1,698 | 1,643 | CONTRIBUTOR | null | # What does this PR do?
And `text2text-generation` too.
The bug was caused by the batch_size containing both the incoming batch
**and** the generated `num_sequences`.
The fix simply consists into splitting both of these again into
different dimensions.
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https://api.github.com/repos/huggingface/transformers/issues/15316 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15316/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15316/comments | https://api.github.com/repos/huggingface/transformers/issues/15316/events | https://github.com/huggingface/transformers/issues/15316 | 1,112,788,317 | I_kwDOCUB6oc5CU81d | 15,316 | GPT-Neo batch inferencing with sampling results unexpected output | {
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"Hi @callzhang you are perfectly correct.\r\n\r\nThis issue is related to both arguments not working nice with each other, I created a PR to add 2 tests for both `text-generation` and `text2text-generation` pipelines (both were affected).\r\n\r\nThanks for reporting this ! ",
"@Narsil Thanks for the prompt reply ... | 1,643 | 1,645 | 1,643 | NONE | null | ## Environment info
- `transformers` version: 4.13.0
- Platform: Linux-5.4.0-96-generic-x86_64-with-glibc2.17
- Python version: 3.8.11
- PyTorch version (GPU?): 1.9.0+cu111 (True)
- Tensorflow version (GPU?): 2.7.0 (True)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not installed
- JaxLi... | {
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https://api.github.com/repos/huggingface/transformers/issues/15315 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15315/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15315/comments | https://api.github.com/repos/huggingface/transformers/issues/15315/events | https://github.com/huggingface/transformers/pull/15315 | 1,112,741,386 | PR_kwDOCUB6oc4xgCtK | 15,315 | [WIP] Add Maskformer to the library | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,643 | 1,645 | 1,645 | CONTRIBUTOR | null | This WIP PR adds [MaskFormer](https://arxiv.org/abs/2107.06278) a new model for any segmentation task. This model ranks [on the top 10 of almost every task](https://paperswithcode.com/paper/per-pixel-classification-is-not-all-you-need)
A total of 8 pre-trained checkpoints will be available, which are the checkpoin... | {
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https://api.github.com/repos/huggingface/transformers/issues/15314 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15314/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15314/comments | https://api.github.com/repos/huggingface/transformers/issues/15314/events | https://github.com/huggingface/transformers/pull/15314 | 1,112,702,031 | PR_kwDOCUB6oc4xf6XA | 15,314 | [LayoutLMV2 Tests] Make sure input is on GPU | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,643 | 1,643 | 1,643 | MEMBER | null | # What does this PR do?
<!--
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Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
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https://api.github.com/repos/huggingface/transformers/issues/15313 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15313/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15313/comments | https://api.github.com/repos/huggingface/transformers/issues/15313/events | https://github.com/huggingface/transformers/issues/15313 | 1,112,674,157 | I_kwDOCUB6oc5CUg9t | 15,313 | Push to hub training argument not pushing | {
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"That's not the API that was decided. `push_to_hub=True` pushes to the Hub at every save, and you did not pick a `saving_strategy` that triggered a save (it defaults to `\"steps\"` and there were not enough steps in your training), but it does not push to the Hub at the end of training unless you explicitly asks fo... | 1,643 | 1,662 | 1,643 | MEMBER | null | ## Environment info
- `transformers` version: 4.15.0
- Platform: Linux-5.4.144+-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.7.12
- PyTorch version (GPU?): 1.10.0+cu111 (True)
- Tensorflow version (GPU?): 2.7.0 (True)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not installed
- Ja... | {
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https://api.github.com/repos/huggingface/transformers/issues/15312 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15312/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15312/comments | https://api.github.com/repos/huggingface/transformers/issues/15312/events | https://github.com/huggingface/transformers/pull/15312 | 1,112,616,414 | PR_kwDOCUB6oc4xfoFi | 15,312 | Replace NystromformerTokenizer with AutoTokenizer | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,643 | 1,643 | 1,643 | CONTRIBUTOR | null | # What does this PR do?
This PR replaces `NystromformerTokenizer` with `AutoTokenizer` in `modeling_nystromformer.py` since `NystromformerTokenizer` does not exist.
## Who can review?
@NielsRogge | {
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https://api.github.com/repos/huggingface/transformers/issues/15311 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15311/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15311/comments | https://api.github.com/repos/huggingface/transformers/issues/15311/events | https://github.com/huggingface/transformers/issues/15311 | 1,112,515,249 | I_kwDOCUB6oc5CT6Kx | 15,311 | Decoding with Wav2Vec2 with Language Model | {
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"Have you checked that you are using the same vocabulary for both and what code are you using for inference?",
"> Have you checked that you are using the same vocabulary for both and what code are you using for inference?\r\n\r\nHi olafthiele,\r\n\r\nI am making my arpa file from the same text I am using for trai... | 1,643 | 1,643 | 1,643 | NONE | null | Dear All,
I am trying to decode a model with a Language Model:
I made a LM using KenLM from the method provided at : https://huggingface.co/blog/wav2vec2-with-ngram
When decoding, I am getting the following error:
ValueError: Input logits of size 586, but vocabulary is size 44
An brief Introduction:
I ... | {
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https://api.github.com/repos/huggingface/transformers/issues/15310 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15310/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15310/comments | https://api.github.com/repos/huggingface/transformers/issues/15310/events | https://github.com/huggingface/transformers/pull/15310 | 1,112,464,847 | PR_kwDOCUB6oc4xfHx2 | 15,310 | Update eval.py | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,643 | 1,643 | 1,643 | MEMBER | null | # What does this PR do?
<!--
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Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
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https://api.github.com/repos/huggingface/transformers/issues/15309 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15309/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15309/comments | https://api.github.com/repos/huggingface/transformers/issues/15309/events | https://github.com/huggingface/transformers/pull/15309 | 1,112,440,237 | PR_kwDOCUB6oc4xfCg- | 15,309 | Add ASR CTC streaming example | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"One thing left to add: support for infinite streaming if we reach the end of the dataset, so that `Trainer` doesn't stop until `max_steps` is reached.\r\nReference: https://github.com/huggingface/transformers/blob/48bf7e47a01f310ca8e... | 1,643 | 1,644 | 1,644 | MEMBER | null | # What does this PR do?
This enables the use of streamable datasets to fine-tune CTC models.
Example args:
```
--dataset_name="common_voice"
--model_name_or_path="ntu-spml/distilhubert"
--tokenizer_name_or_path="infinitejoy/wav2vec2-large-xls-r-300m-abkhaz"
--dataset_config_name="ab"
--output_dir="./dummy_ctc... | {
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https://api.github.com/repos/huggingface/transformers/issues/15308 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15308/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15308/comments | https://api.github.com/repos/huggingface/transformers/issues/15308/events | https://github.com/huggingface/transformers/issues/15308 | 1,112,414,381 | I_kwDOCUB6oc5CThit | 15,308 | Minimal model for writing tests. | {
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"Do the models available on https://huggingface.co/hf-internal-testing fit your use-case? That's what we use internally for our testing with dummy models.\r\n\r\nThese are randomly instantiated, however. They should only be used for mock testing.",
"Thanks, this is exactly what I was looking for! Are these not me... | 1,643 | 1,698 | 1,643 | NONE | null | # 🚀 Feature request
Add minimal models that satisfy different transformers interfaces.
## Motivation
I'd like to write some tests for a project that uses the transformers package in the background. To test my functionality I somehow need to use a transformers model (or a mock). However typically the models th... | {
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https://api.github.com/repos/huggingface/transformers/issues/15307 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15307/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15307/comments | https://api.github.com/repos/huggingface/transformers/issues/15307/events | https://github.com/huggingface/transformers/issues/15307 | 1,112,412,573 | I_kwDOCUB6oc5CThGd | 15,307 | Robust Speech Challenge Evaluation File does not use entire dataset for metric calculation | {
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"Thanks a lot for opening this issue @anuragshas! Indeed one should comment out this line when evaluating the model actually on the full dataset! I've left it here so that one can easily test the script. Will comment it out on master now :-)"
] | 1,643 | 1,643 | 1,643 | NONE | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: 4.15.0
- Platform: Linux-5.4.144+-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.7.12
- PyTorch version... | {
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https://api.github.com/repos/huggingface/transformers/issues/15306 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15306/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15306/comments | https://api.github.com/repos/huggingface/transformers/issues/15306/events | https://github.com/huggingface/transformers/pull/15306 | 1,112,381,789 | PR_kwDOCUB6oc4xe2WB | 15,306 | Remove old debug code leftover. | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,643 | 1,643 | 1,643 | CONTRIBUTOR | null | # What does this PR do?
Remove old debug code leftover.
<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
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https://api.github.com/repos/huggingface/transformers/issues/15303 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15303/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15303/comments | https://api.github.com/repos/huggingface/transformers/issues/15303/events | https://github.com/huggingface/transformers/issues/15303 | 1,111,961,511 | I_kwDOCUB6oc5CRy-n | 15,303 | Nan when training LayoutLM_V2 Model | {
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"Hi @Asocsar,\r\n\r\nFor training-related questions, can you use the [forum](https://discuss.huggingface.co/)?\r\n\r\nI'm suspecting this has to do with the custom loss function being defined, rather than the model itself.\r\n\r\nThanks!",
"This issue has been automatically marked as stale because it has not had ... | 1,642 | 1,646 | 1,646 | NONE | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: 4.13.0
- Platform: Linux-5.4.104+-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.7.12
- PyTorch version... | {
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https://api.github.com/repos/huggingface/transformers/issues/15302 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15302/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15302/comments | https://api.github.com/repos/huggingface/transformers/issues/15302/events | https://github.com/huggingface/transformers/issues/15302 | 1,111,936,829 | I_kwDOCUB6oc5CRs89 | 15,302 | RuntimeError: Expected tensor for argument #1 'indices' to have one of the following scalar types: Long, Int; but got torch.cuda.FloatTensor instead (while checking arguments for embedding) | {
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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/master/CONTRIBUTING.md)... | 1,642 | 1,659 | 1,646 | NONE | null | ## Environment info
- `transformers` version: 4.12.5
- Platform: Linux-5.10.90+-x86_64-with-debian-bullseye-sid
- Python version: 3.7.12
- PyTorch version (GPU?): 1.9.1 (True)
- Tensorflow version (GPU?): 2.6.2 (True)
- Using GPU in script?: Yes
- Using distributed or parallel set-up in script?: No
### Who ... | {
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https://api.github.com/repos/huggingface/transformers/issues/15301 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15301/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15301/comments | https://api.github.com/repos/huggingface/transformers/issues/15301/events | https://github.com/huggingface/transformers/issues/15301 | 1,111,932,881 | I_kwDOCUB6oc5CRr_R | 15,301 | Getting error while saving model | {
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"The error comes from the value you have in `args.sharded_ddp` where `args` is your `MultiModalTrainingArguments` object. Since you did not share the code of that class, there is little we can do to help fix the issue.\r\n\r\nAlso, please use the [forums](https://discuss.huggingface.co/) to debug your code as we ke... | 1,642 | 1,646 | 1,646 | NONE | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: 4.5.1
- Platform: linux
- Python version : 3.6
- PyTorch version (GPU?): gpu
- Tensorflow version (GPU?):
... | {
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https://api.github.com/repos/huggingface/transformers/issues/15300 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15300/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15300/comments | https://api.github.com/repos/huggingface/transformers/issues/15300/events | https://github.com/huggingface/transformers/pull/15300 | 1,111,923,451 | PR_kwDOCUB6oc4xdZGk | 15,300 | Added missing code in exemplary notebook - custom datasets fine-tuning | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"I don't understand what you mean, the notebook has the same code as the example: they are automatically synced at each merge in the Transformers repo.",
"You're right. I pasted the wrong link so the comparison made no sense. The li... | 1,642 | 1,643 | 1,643 | CONTRIBUTOR | null | # What does this PR do?
Added missing code in tokenize_and_align_labels function in the exemplary notebook on custom datasets - token classification.
The missing code concerns adding labels for all but the first token in a single word.
The added code was taken directly from huggingface official example - this [col... | {
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https://api.github.com/repos/huggingface/transformers/issues/15299 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15299/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15299/comments | https://api.github.com/repos/huggingface/transformers/issues/15299/events | https://github.com/huggingface/transformers/pull/15299 | 1,111,847,711 | PR_kwDOCUB6oc4xdK_5 | 15,299 | [WIP] Positive Constraint Decoding PR #1 | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@patrickvonplaten Sorry for the confusion but I've closed this one and opened a new PR from a new branch with a lot more updates here #15416. Safe to leave this closed."
] | 1,642 | 1,643 | 1,643 | CONTRIBUTOR | null | # Disjunctive Positive Constraint Decoding
@patrickvonplaten @LysandreJik @sgugger @patil-suraj @yjernite @thomwolf
Fixes #14081.
I apologize if this isn't a proper way to deal with feature contributions, but this is an **incomplete PR request**. I simply thought this was a good place to check-in and checkpo... | {
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https://api.github.com/repos/huggingface/transformers/issues/15298 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15298/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15298/comments | https://api.github.com/repos/huggingface/transformers/issues/15298/events | https://github.com/huggingface/transformers/pull/15298 | 1,111,831,034 | PR_kwDOCUB6oc4xdH5f | 15,298 | Fix the inconsistency of loss calculation between PT/TF XLNetLMHeadModel | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Could @Rocketknight1 or @gante give this a quick look?",
"This looks good! Should it be folded into PR #15256 though, or do you think it's better separate?",
"> This looks good! Should it be folded into PR #15256 though, or do yo... | 1,642 | 1,651 | 1,643 | COLLABORATOR | null | # What does this PR do?
The loss calculation in `XLNetLMHeadModel` doesn't cut the logits/labels (unlike other models say `BertLMHeadModel`).
However, `TFXLNetLMHeadModel` works as other TF Causal LM models, and cut the logits.
This causes the loss difference higher than `4e-2` sometimes.
I believe `XLNet` work... | {
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https://api.github.com/repos/huggingface/transformers/issues/15297 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15297/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15297/comments | https://api.github.com/repos/huggingface/transformers/issues/15297/events | https://github.com/huggingface/transformers/pull/15297 | 1,111,824,123 | PR_kwDOCUB6oc4xdGn3 | 15,297 | Fix and improve REALM fine-tuning | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_15297). All of your documentation changes will be reflected on that endpoint.",
"@patrickvonplaten - The inference time of NQ evaluation dataset is `8:25` when `block_emb` is on GPU, while the inference time is `21:07` when... | 1,642 | 1,646 | 1,646 | CONTRIBUTOR | null | # What does this PR do?
This PR
1. adds `block_embedding_to` function to `RealmForOpenQA`, which allows users to send `block_emb` variable to a specific device.
3. adds an input argument `block_mask` for reader that replaces previous used `token_type_ids` as the candidate mask. As a result, the reader logits at ... | {
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https://api.github.com/repos/huggingface/transformers/issues/15296 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15296/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15296/comments | https://api.github.com/repos/huggingface/transformers/issues/15296/events | https://github.com/huggingface/transformers/issues/15296 | 1,111,816,893 | I_kwDOCUB6oc5CRPq9 | 15,296 | Question: how to evaluate word similarity with context? | {
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"Hello, thanks for opening an issue! We try to keep the github issues for bugs/feature requests.\r\nCould you ask your question on the [forum](https://discuss.huggingface.co) as well?\r\n\r\nThanks!",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this stil... | 1,642 | 1,646 | 1,646 | NONE | null | ## ❓ Questions & Help
Hello,
I am trying to evaluate **word similarity** (particularly named entities).
Example:
`I flew to Paris last month.`
`I met a famous celebrity, Paris Hilton.`
Most named entity recognition models (e.g. the default `pipeline('ner')`) will return `Paris` and `Paris Hilton` as named... | {
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https://api.github.com/repos/huggingface/transformers/issues/15295 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15295/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15295/comments | https://api.github.com/repos/huggingface/transformers/issues/15295/events | https://github.com/huggingface/transformers/pull/15295 | 1,111,745,841 | PR_kwDOCUB6oc4xc4OS | 15,295 | feat(flax): leave restored weights on CPU | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_15295). All of your documentation changes will be reflected on that endpoint.",
"Thanks @borisdayma,\r\n\r\nThis looks good to me! @patil-suraj - could you take a look? :-)",
"Yeah maybe we can have a `load_on_cpu` argume... | 1,642 | 1,648 | null | CONTRIBUTOR | null | # What does this PR do?
<!--
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Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
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"_The documentation is not available anymore as the PR was closed or merged._",
"> I think in this instance it's the PyTorch model that is incorrect, and it should use the -100s in the labels instead of the attention mask to determine the logits/labels to ignore.\r\n\r\nI have the same thought on the role/respons... | 1,642 | 1,651 | 1,643 | COLLABORATOR | null | # What does this PR do?
The current loss calculation in `TFFunnelForTokenClassification` (and other TF token classification models) don't align with the loss in `FunnelForTokenClassification`
TF
https://github.com/huggingface/transformers/blob/6ac77534bfe97c00e0127bb4fc846ae0faf1c9c5/src/transformers/models/funn... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_15293). All of your documentation changes will be reflected on that endpoint.",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please... | 1,642 | 1,648 | 1,648 | CONTRIBUTOR | null | As stated in the PIL documentation
[here](https://pillow.readthedocs.io/en/stable/handbook/image-file-formats.html?highlight=pdf#write-only-formats),
it can only write PDF's, not read them. Remove references to reading
PDF's via PIL from this page to avoid confusion.
## Before submitting
- [X] This PR fixes a ty... | {
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"Hi,\r\n\r\nNot sure what you mean. If we provide a sentence like \"hello world\" to RoBERTa that we pad up to a certain length:\r\n\r\n```\r\nfrom transformers import AutoTokenizer\r\n\r\ntokenizer = AutoTokenizer.from_pretrained(\"roberta-base\")\r\n\r\ntext = \"hello world\"\r\n\r\nencoding = tokenizer(text, pad... | 1,642 | 1,702 | 1,643 | NONE | null | There's a padding_idx for positional embeddings in RoBERTa
https://github.com/huggingface/transformers/blob/master/src/transformers/models/roberta/modeling_roberta.py#L98
```
self.position_embeddings = nn.Embedding(
config.max_position_embeddings, config.hidden_size, padding_idx=self.padding_id... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,642 | 1,651 | 1,643 | COLLABORATOR | null | # What does this PR do?
Some doc examples in Flax models miss `import jax.numpy as jnp` (including the flax template).
This PR fixes it. | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,642 | 1,643 | 1,643 | CONTRIBUTOR | null | Fix typo in doc
# What does this PR do?
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Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
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"See Issue #14893. You'll have to pip install from the GitHub source: `pip install transformers git+https://github.com/huggingface/transformers.git` to get working small trocr transformers. ",
"working now, thank you!",
"Closing, since this has been fixed (the small TrOCR models are only supported since the PR ... | 1,642 | 1,643 | 1,643 | NONE | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: 4.15.0
- Platform: macOS-10.15.7-x86_64-i386-64bit
- Python version: 3.9.7
- PyTorch version (GPU?): 1.10.0 ... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"yes i would advocate to include using the web interface to share models"
] | 1,642 | 1,643 | 1,643 | MEMBER | null | First draft of the updated model sharing tutorial. Main updates include:
- Suggest converting a model to other frameworks before uploading it to the Hub.
- Advocate for `push_to_hub` as best practice for uploading files to the Hub. Most notably, the `transformers-cli` method has been removed. Would love your though... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"We can definitely port it in a PR to `huggingface_hub`. I would leave it in this PR for now and wait for a release on `huggingface_hub` to replace it by the one there."
] | 1,642 | 1,643 | 1,643 | COLLABORATOR | null | # What does this PR do?
This PR removes all uses of `get_list_of_files` which uses a non-optimized call on the Hub, to only rely on the API to get files (which is better optimized). It should make the general `from_pretrained` APIs much more stable (cc @julien-c ).
To refactor some of the code we often get to jus... | {
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] | 1,642 | 1,643 | 1,643 | COLLABORATOR | null | # What does this PR do?
This PR fixes a typo in the tag addition for the Keras Callback. | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_15285). All of your documentation changes will be reflected on that endpoint.",
"Hey @shivamm7,\r\n\r\nThanks for your issue - I can see the problem. However, instead of deleting `\"|\"` could you maybe just overwrite:\r\n\... | 1,642 | 1,646 | 1,646 | NONE | null | # What does this PR do?
This PR fixes the issue of vocabulary building in run_speech_recognition_ctc.py (https://github.com/huggingface/transformers/blob/master/examples/pytorch/speech-recognition/run_speech_recognition_ctc.py#L332).
While building vocabulary we replace the blank token " " by pipe symbol as delimi... | {
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"Hi @raphaelsty I am definitely not familiar with Rag.\r\n\r\nLooking briefly at the stack, there is indeed no `context_input_ids` passed to (line 1024), I tried to manually add them just to see, and other errors pop up (linked to tensor dimensions).\r\nSince I am not super familiar I can't say if we shouldn't end... | 1,642 | 1,643 | 1,643 | NONE | null | Hi Hugging Face Team.
First of all thank you for your work, I am a fan of Transformers. 😉
I'm opening this issue because I'm having trouble using the RagSequenceForGeneration, model that I'm particularly interested in. I do not want to use the default retriever but rather apply the generator on an input list of... | {
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https://api.github.com/repos/huggingface/transformers/issues/15283 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15283/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15283/comments | https://api.github.com/repos/huggingface/transformers/issues/15283/events | https://github.com/huggingface/transformers/issues/15283 | 1,110,790,146 | I_kwDOCUB6oc5CNVAC | 15,283 | Saved slow tokenizers cannot be loaded in `AutoTokenizer` after environment change | {
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"Intriguing behavior indeed! :male_detective: \r\n\r\nBy digging a little, I personally think that the problem comes from the fact that the slow version of the tokenizer can save a `\"tokenizer_file\"` key in the `tokenizer_config.json` file. Indeed, if the tokenizer is of a fast type then in this case, the key can... | 1,642 | 1,678 | 1,643 | MEMBER | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: 4.16.0.dev0
- Platform: Linux-5.16.1-arch1-1-x86_64-with-arch
- Python version: 3.6.15
- PyTorch version (GP... | {
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"Hi,\r\n\r\n> It seems like there are no self-attention layers, only a single cross-attention layer. Is that by design?\r\n\r\nYes, the authors used only a single cross-attention layer. \r\n\r\nIf you want, you can fork the library and tweak `modeling_perceiver.py` to include additional self-attention layers in the... | 1,642 | 1,645 | 1,645 | NONE | null | This feature request is about the PerceiverIO codebase, specifically about the implemented decoders. It seems like there are no self-attention layers, only a single cross-attention layer. Is that by design? Several current published methods mention cross- and self-attention layers as part of the decoding process, wou... | {
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https://api.github.com/repos/huggingface/transformers/issues/15281 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15281/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15281/comments | https://api.github.com/repos/huggingface/transformers/issues/15281/events | https://github.com/huggingface/transformers/issues/15281 | 1,110,629,540 | I_kwDOCUB6oc5CMtyk | 15,281 | pytorch NER example dataset deleted | {
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"Closing this, as datasets has updated the URL (see https://github.com/huggingface/datasets/issues/3582)."
] | 1,642 | 1,643 | 1,643 | NONE | null | The file examples/pytorch/token-classification/run_ner.py is looking for a hardcoded conll2003 dataset.
In the hardcoded link, the following change removed the dataset:
https://github.com/davidsbatista/NER-datasets/commit/9d8f45cc7331569af8eb3422bbe1c97cbebd5690
To fix, the hardcoded link needs to be changed to ... | {
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https://api.github.com/repos/huggingface/transformers/issues/15280 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15280/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15280/comments | https://api.github.com/repos/huggingface/transformers/issues/15280/events | https://github.com/huggingface/transformers/pull/15280 | 1,110,576,719 | PR_kwDOCUB6oc4xY7Y8 | 15,280 | Fix processors | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_15280). All of your documentation changes will be reflected on that endpoint.",
"A much better fix was provided in #15549. Therefore, closing."
] | 1,642 | 1,644 | 1,644 | CONTRIBUTOR | null | # What does this PR do?
This PR aims to fix import checks for processors of multi-modal models, like those of LayoutLMv2, TrOCR and ViLT.
The bare minimum for a processor is PIL (assuming one creates a processor by combining a feature extractor and a slow tokenizer). If one combines a feature extractor and a fast... | {
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https://api.github.com/repos/huggingface/transformers/issues/15279 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15279/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15279/comments | https://api.github.com/repos/huggingface/transformers/issues/15279/events | https://github.com/huggingface/transformers/issues/15279 | 1,110,566,072 | I_kwDOCUB6oc5CMeS4 | 15,279 | run_tests_pipelines_torch is not deterministic | {
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"Pinging @Narsil ",
"Hi @kevinpl07 This PR should have fixed the issue. You test ran later, but were you rebased after this PR https://github.com/huggingface/transformers/pull/15154 ?\r\n\r\nI ran many tests on a local box without any issue on master just to be sure.",
"This issue has been automatically marked... | 1,642 | 1,645 | 1,645 | CONTRIBUTOR | null | I am currently working on a PR and while making sure we pass all tests and checks, i ran into a pipeline test that failed in one run but succeeded afterwards with the same codebase (only a docstring has been changed).
I think this nondeterministic test-behaviour should be avoided in an automatic build pipeline.
... | {
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https://api.github.com/repos/huggingface/transformers/issues/15278 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15278/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15278/comments | https://api.github.com/repos/huggingface/transformers/issues/15278/events | https://github.com/huggingface/transformers/pull/15278 | 1,110,553,452 | PR_kwDOCUB6oc4xY2fD | 15,278 | Fixes Benchmark example link | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,642 | 1,642 | 1,642 | CONTRIBUTOR | null | Fixes [#15267](https://github.com/huggingface/transformers/issues/15267)
* Fixed broken link in notebooks/README.md
Documentation: @sgugger | {
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https://api.github.com/repos/huggingface/transformers/issues/15277 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15277/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15277/comments | https://api.github.com/repos/huggingface/transformers/issues/15277/events | https://github.com/huggingface/transformers/pull/15277 | 1,110,491,872 | PR_kwDOCUB6oc4xYpqh | 15,277 | Add ConvNeXT | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,642 | 1,644 | 1,644 | CONTRIBUTOR | null | # What does this PR do?
This PR adds [ConvNeXT](https://github.com/facebookresearch/ConvNeXt) to the library, a convnet inspired by Transformers.
To do:
- [x] rename nielsr to facebook to fix tests
- [x] remove inference.py script
- [x] remove PushToHubMixin hack from feature extractor
- [x] fix "gamma" in ... | {
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https://api.github.com/repos/huggingface/transformers/issues/15276 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15276/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15276/comments | https://api.github.com/repos/huggingface/transformers/issues/15276/events | https://github.com/huggingface/transformers/pull/15276 | 1,110,440,608 | PR_kwDOCUB6oc4xYexc | 15,276 | Fix | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Hello, the `check_code_quality` fails now. Running `make style` will revert all the changes I made to the modeling file, so some parts of the code will not stay in the same line. ",
"In the previous commit, I removed trailing comma... | 1,642 | 1,642 | 1,642 | CONTRIBUTOR | null | # What does this PR do?
Fixes some suggestions not addressed in [this](https://github.com/huggingface/transformers/pull/15085/) pull request.
I've fixed the typo and unnecessary imports, but running `make style` may not allow some parts of the code to stay in the same line.
## Who can review?
@sgugger | {
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https://api.github.com/repos/huggingface/transformers/issues/15275 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15275/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15275/comments | https://api.github.com/repos/huggingface/transformers/issues/15275/events | https://github.com/huggingface/transformers/issues/15275 | 1,110,396,801 | I_kwDOCUB6oc5CL0-B | 15,275 | Inference of finetuned wav2vec2-xls-r-300m model using the ASR pipeline does not remove special tokens. | {
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"We need to not skip special tokens for CTC (wav2vec2 in particular) because of the [PAD] token.\r\n\r\nHELLO can only be transcribed because the CTC tokens are H, E, L, PAD, L, L, L, O, O for instance.\r\n\r\nIt seems here that maybe `<s>` got confused with `<pad>` and hence is not properly skipped during decoding... | 1,642 | 1,688 | 1,648 | NONE | null | ## Environment info
- `transformers` version: 4.15.0
- Platform: Linux-5.4.144+-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.7.12
- PyTorch version (GPU?): 1.10.0+cu111 (True)
- Tensorflow version (GPU?): 2.7.0 (True)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not installed
- JaxL... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,642 | 1,642 | 1,642 | MEMBER | null | # What does this PR do?
<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
Then, please replace this w... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,642 | 1,644 | 1,644 | MEMBER | null | # What does this PR do?
This PR removes Longformer from the list of ONNX-supported models due to a current limitation in the supported ops in JIT - see issue #15217
This slipped through our unit tests because we didn't include `longformer` in the list of models to be tested.
Long term, we'll either need to w... | {
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https://api.github.com/repos/huggingface/transformers/issues/15272 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15272/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15272/comments | https://api.github.com/repos/huggingface/transformers/issues/15272/events | https://github.com/huggingface/transformers/pull/15272 | 1,110,348,628 | PR_kwDOCUB6oc4xYLRr | 15,272 | [PyTorch-nightly-test] Fix Wav2Vec2 LM & Phoneme tests | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Hey @patrickvonplaten, could you write a description in the PR on why the change is needed?",
"Thanks for the careful review @stas00 !"
] | 1,642 | 1,643 | 1,643 | MEMBER | null | # What does this PR do?
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Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,642 | 1,642 | 1,642 | MEMBER | null | # What does this PR do?
This PR moves the BART + ONNX example contributed in #14310 under the `examples/research_projects` folder to indicate that it is not actively maintained by the `transformers` team.
cc @fatcat-z
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https://api.github.com/repos/huggingface/transformers/issues/15270 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15270/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15270/comments | https://api.github.com/repos/huggingface/transformers/issues/15270/events | https://github.com/huggingface/transformers/pull/15270 | 1,110,289,462 | PR_kwDOCUB6oc4xX-21 | 15,270 | Prepare ONNX export for torch v1.11 | {
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] | 1,642 | 1,642 | 1,642 | MEMBER | null | # What does this PR do?
This PR prepares the ONNX export for `torch` v1.11, where the following arguments from the [`torch.onnx.export()` ](https://pytorch.org/docs/stable/onnx.html#torch.onnx.export)function will be removed:
* `use_external_data_format`
* `enable_onnx_checker`
A simple check on the `torch` v... | {
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"@NielsRogge any suggestions?",
"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/transfo... | 1,642 | 1,646 | 1,646 | CONTRIBUTOR | null | https://github.com/huggingface/transformers/blob/515ed3ad2a11a6b0cd9800b2ad4d3b313fdaea8c/src/transformers/feature_extraction_utils.py#L429
For example my code is:
```python3
processor = LayoutXLMProcessor.from_pretrained('microsoft/layoutxlm-base', apply_ocr=False)
```
I don't need to use OCR, but pytesseract ... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,642 | 1,642 | 1,642 | COLLABORATOR | null | # What does this PR do?
The following line in the doc requires `>>> import tensorflow as tf`
```
>>> bbox = tf.convert_to_tensor([token_boxes])
``` | {
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https://api.github.com/repos/huggingface/transformers/issues/15267 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15267/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15267/comments | https://api.github.com/repos/huggingface/transformers/issues/15267/events | https://github.com/huggingface/transformers/issues/15267 | 1,110,073,504 | I_kwDOCUB6oc5CKmCg | 15,267 | Benchmark link in transformers/notebooks/README.md is broken | {
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"Thanks for flagging this! Do you want to a make a PR to fix it?",
"Sure, I'll send one shortly"
] | 1,642 | 1,642 | 1,642 | CONTRIBUTOR | null | Hi @sgugger,
I noticed the link in the transformers/notebooks/README.md (https://github.com/huggingface/transformers/tree/master/notebooks) for the Benchmarks notebook is broken.
I believe the correct link should be: https://github.com/huggingface/notebooks/blob/master/examples/benchmark.ipynb
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"_The documentation is not available anymore as the PR was closed or merged._",
"@LysandreJik, should the reviewer list in [`.github/PULL_REQUEST_TEMPLATE.md`](https://github.com/huggingface/transformers/blob/38a10c6b52242b1244b510358820603f8a2be3d9/.github/PULL_REQUEST_TEMPLATE.md) be updated with the list in [`... | 1,642 | 1,644 | 1,644 | CONTRIBUTOR | null | # What does this PR do?
I discovered this bug by running on `master` (specifically <https://github.com/huggingface/transformers/commit/515ed3ad2a11a6b0cd9800b2ad4d3b313fdaea8c>). When running the following code, I get the error `Ignored unknown kwarg option direction`:
```python
from transformers import AutoToke... | {
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"Hi @JackqqWang these kind of questions are best suited for our [forums](https://discuss.huggingface.co/) since we use issue to triage bug reports or feature requests.\r\n\r\nIn any case, my suggestion would be to use our `nn_pruning` [library](https://github.com/huggingface/nn_pruning) instead of the `movement-pru... | 1,642 | 1,646 | 1,646 | NONE | null | Hi everyone. I expect to use the movement prune approach to get a pruned bert on a downstream task with this link
[https://github.com/huggingface/transformers/tree/master/examples/research_projects/movement-pruning](url)
Basically speaking, we have a bert, and downstream task( AG news/ Yahoo answers, classificati... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_15264). All of your documentation changes will be reflected on that endpoint.",
"At least for now we should probably not assert on failure, since the rest of the benchmark then doesn't run and requires re-running the whole ... | 1,642 | 1,648 | null | NONE | null | Note to maintainers: We are using this PR to collaborate and there is no intention yet to merge anything, so please ignore unless you want to experiment with the latest auto-speedups.
We are experimenting with the latest https://github.com/pytorch/functorch against pytorch nightly to automatically speed up the execu... | {
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] | 1,642 | 1,643 | 1,643 | MEMBER | null | First draft of the Accelerate tutorial for distributed training! | {
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https://api.github.com/repos/huggingface/transformers/issues/15262 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15262/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15262/comments | https://api.github.com/repos/huggingface/transformers/issues/15262/events | https://github.com/huggingface/transformers/pull/15262 | 1,109,766,351 | PR_kwDOCUB6oc4xWSm- | 15,262 | Remove "inputs" in tf common test script (no longer required) | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"> Thank you @ydshieh !\r\n> \r\n> To double-check, before merging -- can you confirm that this particular test is successful for a few models? (e.g. `RUN_PT_TF_CROSS_TESTS=1 py.test tests/test_modeling_tf_bert.py)`\r\n\r\nHi, @gante ... | 1,642 | 1,651 | 1,643 | COLLABORATOR | null | # What does this PR do?
The blocks appeared in `test_modeling_tf_common.py`
```
# need to rename encoder-decoder "inputs" for PyTorch
if "inputs" in pt_inputs_dict and self.is_encoder_decoder:
pt_inputs_dict["input_ids"] = pt_inputs_dict.pop("inputs")
```
was introduce... | {
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https://api.github.com/repos/huggingface/transformers/issues/15261 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15261/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15261/comments | https://api.github.com/repos/huggingface/transformers/issues/15261/events | https://github.com/huggingface/transformers/pull/15261 | 1,109,734,591 | PR_kwDOCUB6oc4xWL_D | 15,261 | Refine errors for pretrained objects | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,642 | 1,642 | 1,642 | COLLABORATOR | null | # What does this PR do?
This PR breaks refines the error returned for pretrained objects using the error codes now returned by hf.co to clearly indicate to the user if:
- there is a problem in the repo name
- there is a problem in the revision
- there is a problem with a specific file
- there is a general connec... | {
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