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https://api.github.com/repos/huggingface/transformers/issues/12745 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12745/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12745/comments | https://api.github.com/repos/huggingface/transformers/issues/12745/events | https://github.com/huggingface/transformers/pull/12745 | 945,567,072 | MDExOlB1bGxSZXF1ZXN0NjkwODc4NjAx | 12,745 | Replace specific tokenizer in log message by AutoTokenizer | {
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"Thank you for accepting my proposal!"
] | 1,626 | 1,626 | 1,626 | CONTRIBUTOR | null | # What does this PR do?
As mentioned by @sgugger in PR #12619, I propose with this PR to harmonize the messages in the logs to encourage users to use `AutoTokenizer`.
I've checked that all these tokenizers appear in `TOKENIZER_MAPPING` int the `tokenization_auto.py` file.
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"Seems like a documentation thing. After a little bit of digging, I found out that the output logits have the dimensions of `(batch_size, decoder_sequence_length, config.vocab_size)` not `(batch_size, sequence_length, config.vocab_size)`.",
"@naderabdalghani thanks for investigating! Also feel free to open a PR t... | 1,626 | 1,627 | 1,626 | NONE | null | - `transformers` version: 4.9.0.dev0
- Platform: Linux-5.4.104+-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.7.10
- PyTorch version (GPU?): 1.9.0+cu102 (True)
- Tensorflow version (GPU?): 2.5.0 (True)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not installed
- JaxLib version: not in... | {
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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)... | 1,626 | 1,631 | 1,631 | MEMBER | null | # What does this PR do?
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"Thanks a lot!"
] | 1,626 | 1,626 | 1,626 | MEMBER | null | The input IDs were not cast to the correct device. | {
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"cc @sgugger ",
"I don't think there is an easy way to get that loss and metrics. However, note that if you run a last `trainer.evaluate()` (as is done in all the example scripts) the loss and metrics reported will be the ones from the final model, so I would suggest doing this.",
"@sgugger that makes sense. T... | 1,626 | 1,626 | 1,626 | CONTRIBUTOR | null | # 🚀 Feature request
When I use Trainer.push_to_hub, the model card that gets generated uses my most recent checkpoint's eval_results. However, if I include load_best_model_at_end=True in my TrainingArguments, then the model that is being pushed can often be from an earlier checkpoint (right?). The suggestion is t... | {
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https://api.github.com/repos/huggingface/transformers/issues/12740 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12740/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12740/comments | https://api.github.com/repos/huggingface/transformers/issues/12740/events | https://github.com/huggingface/transformers/pull/12740 | 945,367,485 | MDExOlB1bGxSZXF1ZXN0NjkwNzA2NzQw | 12,740 | Skip test while the model is not available | {
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"Hi @will-rice! Most of our tests are setup to work with doctest, and we had doctest coverage a few months back. Unfortunately, as the number of model grows, the issue is less of a documentation issue and more of an infrastructure issue :) We're working on setting them back up as we speak.",
"ok awesome! I'll go ... | 1,626 | 1,626 | 1,626 | CONTRIBUTOR | null | # 🚀 Feature request
It would be nice to add doctest to ensure new additions have working examples in the docstrings and that existing examples do not become outdated with API changes. The feature is already in [pytest](https://docs.pytest.org/en/6.2.x/doctest.html) so adding it should be straightforward.
## Motivati... | {
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https://api.github.com/repos/huggingface/transformers/issues/12737 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12737/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12737/comments | https://api.github.com/repos/huggingface/transformers/issues/12737/events | https://github.com/huggingface/transformers/pull/12737 | 945,347,635 | MDExOlB1bGxSZXF1ZXN0NjkwNjg5NTI2 | 12,737 | Fix MBart failing test | {
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"Thanks for fixing this test - this was actually failing since a long time and no-one fixed it"
] | 1,626 | 1,626 | 1,626 | MEMBER | null | Fixes the failing test by adjusting the expected sentence. The sentence turns from
```
[...] will only worsen the violence and misery of millions.
```
to
```
[...] only make violence and misery worse for millions of people.
```
which seems grammatically correct still. @patrickvonplaten please let me know if y... | {
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https://api.github.com/repos/huggingface/transformers/issues/12735 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12735/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12735/comments | https://api.github.com/repos/huggingface/transformers/issues/12735/events | https://github.com/huggingface/transformers/pull/12735 | 945,326,581 | MDExOlB1bGxSZXF1ZXN0NjkwNjcxMzQx | 12,735 | Fix led torchscript | {
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```
Failure
Traceback (most recent call last):
File "/home/xxx/transformers/tests/test_modeling_common.py", line 538, in _create_and_check_torchscript
traced_model = torch.jit.trace(
File "/home/xxx/transformers/.env/lib/python3.8/site-packages/torch/jit/_trace.py", line ... | {
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"LGTM!"
] | 1,626 | 1,626 | 1,626 | MEMBER | null | The integration test must be adjusted to reflect DETR's true margin of error. | {
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https://api.github.com/repos/huggingface/transformers/issues/12733 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12733/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12733/comments | https://api.github.com/repos/huggingface/transformers/issues/12733/events | https://github.com/huggingface/transformers/pull/12733 | 945,323,717 | MDExOlB1bGxSZXF1ZXN0NjkwNjY4ODM2 | 12,733 | Fix AutoModel tests | {
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"No worries!"
] | 1,626 | 1,626 | 1,626 | MEMBER | null | Auto model tests were not kept up to date. This patches the following two tests:
```
FAILED tests/test_modeling_auto.py::AutoModelTest::test_model_from_pretrained
FAILED tests/test_modeling_common.py::ModelUtilsTest::test_model_from_pretrained
``` | {
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https://api.github.com/repos/huggingface/transformers/issues/12732 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12732/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12732/comments | https://api.github.com/repos/huggingface/transformers/issues/12732/events | https://github.com/huggingface/transformers/issues/12732 | 945,277,141 | MDU6SXNzdWU5NDUyNzcxNDE= | 12,732 | Not able to load the custom model after training in Hugging Face | {
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<!-- 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:
- Platform: colab
### Who can help
@patil-suraj @patrickvonplaten
Models:
Used FlaxGPT2Module as b... | {
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https://api.github.com/repos/huggingface/transformers/issues/12731 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12731/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12731/comments | https://api.github.com/repos/huggingface/transformers/issues/12731/events | https://github.com/huggingface/transformers/pull/12731 | 945,174,998 | MDExOlB1bGxSZXF1ZXN0NjkwNTQxOTc1 | 12,731 | Remove framework mention | {
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https://api.github.com/repos/huggingface/transformers/issues/12730 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12730/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12730/comments | https://api.github.com/repos/huggingface/transformers/issues/12730/events | https://github.com/huggingface/transformers/issues/12730 | 945,086,910 | MDU6SXNzdWU5NDUwODY5MTA= | 12,730 | Adding a Wav2Vec2ForSpeechClassification class | {
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"Hey @ehcalabres,\r\n\r\nI'm only seeing your issue now sadly :-/ Super sorry to not have answered sooner. @anton-l is working on an official `Wav2Vec2-` and `HubertForSequenceClassification` at the moment, here: https://github.com/huggingface/transformers/pull/13153 which should serve your needs then :-) \r\n\r\nI... | 1,626 | 1,630 | 1,630 | NONE | null | # Adding a Wav2Vec2ForSpeechClassification class 🚀
Right now, using any of the Wav2Vec 2.0 models available on the 🤗hub and make a fine-tuning process to resolve a __speech classification task__ implies creating a new class that inherit his behaviour from the Wav2Vec2PreTrainedModel class. Although creating this ... | {
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https://api.github.com/repos/huggingface/transformers/issues/12729 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12729/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12729/comments | https://api.github.com/repos/huggingface/transformers/issues/12729/events | https://github.com/huggingface/transformers/issues/12729 | 945,075,578 | MDU6SXNzdWU5NDUwNzU1Nzg= | 12,729 | Checkpoints are saved multiple times during hyperparameter tuning / How to get the best model? | {
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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)... | 1,626 | 1,629 | 1,629 | 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: 4.8.2
- Platform: Linux-4.19.0-16-amd64-x86_64-with-glibc2.10
- Python version: 3.8.0
- PyTorch version (GPU... | {
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https://api.github.com/repos/huggingface/transformers/issues/12728 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12728/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12728/comments | https://api.github.com/repos/huggingface/transformers/issues/12728/events | https://github.com/huggingface/transformers/issues/12728 | 944,978,882 | MDU6SXNzdWU5NDQ5Nzg4ODI= | 12,728 | How can I generate sentencepiece file or vocabulary from tokenizers? | {
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"Could you try `save_pretrained` instead?",
"It throws\r\n```\r\nTraceback (most recent call last):\r\n File \"~/pretrain.py\", line 26, in <module>\r\n tokenizer.save_pretrained('./test_Spm')\r\n File ~/anaconda3/envs/deltalake/lib/python3.9/site-packages/transformers/tokenization_utils_base.py\", line 1958... | 1,626 | 1,708 | 1,632 | NONE | null | After I make custom tokenizer using Tokenizers library, I could load it into XLNetTokenizerFast using
```
tokenizer = Tokenizer.from_file("unigram.json")
tok = XLNetTokenizerFast(tokenizer_object=tokenizer)
```
After I called
```
tok .save_vocabulary("ss")
```
it throws an error since I didnt load XLNetTok... | {
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https://api.github.com/repos/huggingface/transformers/issues/12727 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12727/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12727/comments | https://api.github.com/repos/huggingface/transformers/issues/12727/events | https://github.com/huggingface/transformers/issues/12727 | 944,976,736 | MDU6SXNzdWU5NDQ5NzY3MzY= | 12,727 | Getting incompatible shapes when using global_attention_mask in TFLongformerModel | {
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"It appears that when the number of examples is a multiple of the batch_size, the training starts (i.e. batch_size=2 and num_examples=6). This doesn't work for a batch_size=1. \n\nUnfortunately for my full dataset, I won't be able to run a batch_size=2 without OOM.",
"This issue has been automatically marked as... | 1,626 | 1,634 | 1,634 | 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: 4.8.2
- Platform: Linux-5.4.104+-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.7.10
- PyTorch version ... | {
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https://api.github.com/repos/huggingface/transformers/issues/12726 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12726/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12726/comments | https://api.github.com/repos/huggingface/transformers/issues/12726/events | https://github.com/huggingface/transformers/issues/12726 | 944,952,362 | MDU6SXNzdWU5NDQ5NTIzNjI= | 12,726 | Unrecognized configuration class GPT2Config for AutoModelForSeq2SeqLM | Microsoft DialoGPT no longer working | {
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"Getting this error also. all fine-tuned models using Dialo giving this exact error.",
"Hi everyone.\r\n\r\nNot really sure what happened here (the error is pretty confusing). It is fixed now anyway. ",
"If someone pinned a model while it was having issues, please let me know, we might have to update them to fi... | 1,626 | 1,659 | 1,626 | NONE | null | ## Information
Model I am using: Microsoft's DialoGPT
The problem arises when using:
* [x] the official example scripts:
Since the morning of July 14th, the inference API has been outputting errors on [Microsoft's DialoGPT](https://huggingface.co/microsoft/DialoGPT-medium). It was working fine before July 14... | {
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https://api.github.com/repos/huggingface/transformers/issues/12725 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12725/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12725/comments | https://api.github.com/repos/huggingface/transformers/issues/12725/events | https://github.com/huggingface/transformers/pull/12725 | 944,892,141 | MDExOlB1bGxSZXF1ZXN0NjkwMzA2MDc3 | 12,725 | [doc] performance: batch sizes | {
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@sgugger | {
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https://api.github.com/repos/huggingface/transformers/issues/12724 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12724/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12724/comments | https://api.github.com/repos/huggingface/transformers/issues/12724/events | https://github.com/huggingface/transformers/pull/12724 | 944,875,525 | MDExOlB1bGxSZXF1ZXN0NjkwMjkyMTM4 | 12,724 | [doc] testing: how to trigger a self-push workflow | {
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@sgugger, @LysandreJik | {
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https://api.github.com/repos/huggingface/transformers/issues/12723 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12723/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12723/comments | https://api.github.com/repos/huggingface/transformers/issues/12723/events | https://github.com/huggingface/transformers/pull/12723 | 944,868,517 | MDExOlB1bGxSZXF1ZXN0NjkwMjg2MzUy | 12,723 | [deepspeed] nvme test hanging experiment: take4 | {
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"Thanks a lot for fixing this! Should we merge the PR or leave it like this to remember how to manage a hang with deepspeed and nvme?\r\n\r\nDo you know if rebuilding the extensions takes a look time?",
"Never tried to measure the rebuilding, and it'd depend on the hardware, but probably in a ballpark of 20-30sec... | 1,626 | 1,651 | 1,626 | CONTRIBUTOR | null | As reported in https://github.com/huggingface/transformers/issues/12715 nvme CUDA extension of deepspeed fails to build and leads to a hanging test. As suggested by @tjruwase we should be clearing out the CUDA binary extensions dir, since a new release might be incompatible with the old binary and things break.
```
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"grr, has to be on upstream continued in https://github.com/huggingface/transformers/pull/12723"
] | 1,626 | 1,626 | 1,626 | CONTRIBUTOR | null | Trying to fix hanging test https://github.com/huggingface/transformers/issues/12715
WIP | {
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"continued in https://github.com/huggingface/transformers/pull/12722 - needed to have the branch name start with `ci_`"
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https://api.github.com/repos/huggingface/transformers/issues/12720 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12720/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12720/comments | https://api.github.com/repos/huggingface/transformers/issues/12720/events | https://github.com/huggingface/transformers/pull/12720 | 944,834,469 | MDExOlB1bGxSZXF1ZXN0NjkwMjU3MTk5 | 12,720 | [Flax] Correct shift labels for seq2seq models in Flax | {
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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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"follo... | [] | 1,626 | 1,626 | 1,626 | MEMBER | null | shift labels right is called usually in the data collator and therefore should not be written in jax, but in numpy to not block the TPU. We should make sure that all Encoder-Decoder models have their `shift_tokens_right` implemented in numpy as it's faster. | {
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https://api.github.com/repos/huggingface/transformers/issues/12718 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12718/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12718/comments | https://api.github.com/repos/huggingface/transformers/issues/12718/events | https://github.com/huggingface/transformers/pull/12718 | 944,809,229 | MDExOlB1bGxSZXF1ZXN0NjkwMjM1Njc0 | 12,718 | [trainer] release tmp memory in checkpoint load | {
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@sgugger | {
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"Continued in https://github.com/huggingface/transformers/pull/12721"
] | 1,626 | 1,651 | 1,626 | CONTRIBUTOR | null | Debugging https://github.com/huggingface/transformers/issues/12715
This PR is trying to revert to the last known to work version 0.4.2.
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This PR fixes a small typo in the example docstring.
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"I'm running an experiment with `deepspeed==0.4.2` https://github.com/huggingface/transformers/pull/12717\r\n",
"> If I run it on my own setup by first removing `rm -rf ~/.cache/torch_extensions/` it works just fine. So it happens only on that\r\n\r\nI have seen these kinds of DeepSpeed hangs building different e... | 1,626 | 1,659 | 1,628 | CONTRIBUTOR | null | So a few days ago `tests/deepspeed/test_deepspeed.py::TrainerIntegrationDeepSpeed::test_stage3_nvme_offload` started hanging and getting killed by pytest-timeout.
It gets stuck in `_jit_compile` which never completes. This is nvme-specific, as all other deepspeed tests that use jit work just fine.
If I run it on ... | {
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https://api.github.com/repos/huggingface/transformers/issues/12714 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12714/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12714/comments | https://api.github.com/repos/huggingface/transformers/issues/12714/events | https://github.com/huggingface/transformers/issues/12714 | 944,797,326 | MDU6SXNzdWU5NDQ3OTczMjY= | 12,714 | layoutlm TokenClassificationPipeline | {
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"cc @NielsRogge ",
"I'm afraid the `TokenClassificationPipeline` will not work with LayoutLM, the reason being that, as you mention, the model expects an additional input besides text, namely bounding boxes.\r\n\r\nWe are currently discussing the design of pipelines for models like LayoutLM. \r\n\r\n",
"Ok than... | 1,626 | 1,656 | 1,626 | NONE | null | Hi, I was looking at using transformers.pipeline for TokenClassification with an instance of microsoft/layoutlm-base-uncased that I have fine tuned. I would like to use pipeline to take advantage of the entity aggregation_strategy feature for extracted entities.
However it is unclear to me how/whether TokenClassif... | {
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https://api.github.com/repos/huggingface/transformers/issues/12713 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12713/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12713/comments | https://api.github.com/repos/huggingface/transformers/issues/12713/events | https://github.com/huggingface/transformers/pull/12713 | 944,796,804 | MDExOlB1bGxSZXF1ZXN0NjkwMjI0OTU4 | 12,713 | Add versioning system to fast tokenizer files | {
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"might be cleaner if this worked in the other direction, i.e.\r\n\r\n> multiple tokenizer files: the `tokenizer.json` is the default one, used in the most recent version of Transformers. If one or more `tokenizer-x.y.z.json` exist, those files are used for the version x.y.z (of Transformers) and below.\r\n\r\nMakes... | 1,626 | 1,626 | 1,626 | COLLABORATOR | null | # What does this PR do?
Some changes cannot be done to the fast tokenizers file without breaking backward compatibility. This PR introduces a versioning system by allowing a model repo to contain multiple tokenizer files: the `tokenizer.json` is the default one and if one (or several) `tokenizer.x.y.z.json` exist, t... | {
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https://api.github.com/repos/huggingface/transformers/issues/12712 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12712/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12712/comments | https://api.github.com/repos/huggingface/transformers/issues/12712/events | https://github.com/huggingface/transformers/pull/12712 | 944,775,224 | MDExOlB1bGxSZXF1ZXN0NjkwMjA2MzUx | 12,712 | [doc] parallelism: Which Strategy To Use When | {
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Fixes: https://github.com/huggingface/transformers/issues/12688
@sgugger | {
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https://api.github.com/repos/huggingface/transformers/issues/12711 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12711/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12711/comments | https://api.github.com/repos/huggingface/transformers/issues/12711/events | https://github.com/huggingface/transformers/issues/12711 | 944,755,450 | MDU6SXNzdWU5NDQ3NTU0NTA= | 12,711 | Error while performing eval on clm using gpt2 in flax | {
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"Hey @AnantShankhdhar - could you please provide the `run.sh` file?",
"The error was because the eval batch size was very high "
] | 1,626 | 1,626 | 1,626 | NONE | null | ## Environment info
- `transformers` version: 4.9.0.dev0
- Platform: Linux-5.4.0-1043-gcp-x86_64-with-glibc2.29
- Python version: 3.8.10
- PyTorch version (GPU?): not installed (NA)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): 0.3.4 (tpu)
- Jax version: 0.2.16
- JaxLib versio... | {
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https://api.github.com/repos/huggingface/transformers/issues/12710 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12710/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12710/comments | https://api.github.com/repos/huggingface/transformers/issues/12710/events | https://github.com/huggingface/transformers/pull/12710 | 944,707,689 | MDExOlB1bGxSZXF1ZXN0NjkwMTQ3ODQz | 12,710 | [test] split test into 4 sub-tests to avoid timeout | {
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This supercedes https://github.com/huggingface/transformers/pull/12699
@LysandreJik, @sgugger
| {
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https://api.github.com/repos/huggingface/transformers/issues/12709 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12709/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12709/comments | https://api.github.com/repos/huggingface/transformers/issues/12709/events | https://github.com/huggingface/transformers/pull/12709 | 944,669,391 | MDExOlB1bGxSZXF1ZXN0NjkwMTE0Nzc2 | 12,709 | Init adds its own files as impacted | {
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As pointed out by @patrickvonplaten, the script that fetches the right tests does not consider the init of a submodule impacts its files. This PR addresses that. | {
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https://api.github.com/repos/huggingface/transformers/issues/12708 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12708/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12708/comments | https://api.github.com/repos/huggingface/transformers/issues/12708/events | https://github.com/huggingface/transformers/issues/12708 | 944,651,651 | MDU6SXNzdWU5NDQ2NTE2NTE= | 12,708 | [Bug?] question answering - end position of each input is weird | {
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"I believe @sgugger worked on that script",
"Hi there, noticed you closed this so may have come to the same conclusion, but the \"end_positions\" will give you the position of the last token in the answer. So you should add a +1 in your slice to include that token at \"end_positions\".",
"Thank you for your rep... | 1,626 | 1,626 | 1,626 | NONE | null | I run "python run_qa.py" in transformers/examples/pytorch/question-answering.
In prepare_train_features function, I think "end position" is lower than expected postiion.
I tested first example in examples(squad) in "prepare_train_features" function
For example, answer text = 'Saint Bernadette Soubirous'
print(tok... | {
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https://api.github.com/repos/huggingface/transformers/issues/12707 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12707/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12707/comments | https://api.github.com/repos/huggingface/transformers/issues/12707/events | https://github.com/huggingface/transformers/issues/12707 | 944,509,452 | MDU6SXNzdWU5NDQ1MDk0NTI= | 12,707 | Convert model from flax to TF | {
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"At the moment we only have Flax <=> PT and TF <=> PT conversion. So you should do the following:\r\n\r\n```python\r\nfrom transformers import T5ForConditionalGeneration, MT5TokenizerFast, TFT5ForConditionalGeneration, MT5Config, FlaxT5ForConditionalGeneration\r\n\r\nimport numpy as np\r\nimport jax\r\nimport jax.n... | 1,626 | 1,629 | 1,629 | NONE | null | I am trying to convert my flax MT5 model to TensorFlow. I devised the following script using https://github.com/huggingface/transformers/issues/12545
```
from transformers import MT5Model, MT5TokenizerFast, TFMT5Model, MT5Config, FlaxT5ForConditionalGeneration
import numpy as np
import jax
import jax.numpy as ... | {
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https://api.github.com/repos/huggingface/transformers/issues/12706 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12706/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12706/comments | https://api.github.com/repos/huggingface/transformers/issues/12706/events | https://github.com/huggingface/transformers/pull/12706 | 944,477,125 | MDExOlB1bGxSZXF1ZXN0Njg5OTU1NDI1 | 12,706 | Deprecate TFTrainer | {
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https://api.github.com/repos/huggingface/transformers/issues/12705 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12705/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12705/comments | https://api.github.com/repos/huggingface/transformers/issues/12705/events | https://github.com/huggingface/transformers/pull/12705 | 944,448,505 | MDExOlB1bGxSZXF1ZXN0Njg5OTMxMTM0 | 12,705 | Fix uninitialized variables when `config.mask_feature_prob > 0` | {
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"Thanks a lot!"
] | 1,626 | 1,626 | 1,626 | MEMBER | null | When `config.mask_feature_prob > 0` AND `mask_time_indices is not None` then `batch_size` and `sequence_length` are not defined for masking over features axis.
This PR solves this. | {
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https://api.github.com/repos/huggingface/transformers/issues/12704 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12704/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12704/comments | https://api.github.com/repos/huggingface/transformers/issues/12704/events | https://github.com/huggingface/transformers/issues/12704 | 944,418,445 | MDU6SXNzdWU5NDQ0MTg0NDU= | 12,704 | Where is the casual mask when using BertLMHeadModel and set config.is_decoder = True? | {
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"Hi @Doragd, BERT is an encoder model, and is therefore ill-suited to the causal language modeling task. Is there a reason you would like to use that model specifically for causal language modeling?",
"Hi, @LysandreJik I just apply causal language modeling as an auxiliary task to lead stable training of our mode... | 1,626 | 1,627 | 1,627 | NONE | null | I hope to use BERT for the task of causal language modeling.
`BertLMHeadModel ` seems to meet my needs, but I did not find any code snippets about the causal mask, even if I set the `config.is_decoder=True`.
I only find the following related code in https://github.com/huggingface/transformers/blob/master/src/tr... | {
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https://api.github.com/repos/huggingface/transformers/issues/12703 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12703/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12703/comments | https://api.github.com/repos/huggingface/transformers/issues/12703/events | https://github.com/huggingface/transformers/pull/12703 | 944,381,181 | MDExOlB1bGxSZXF1ZXN0Njg5ODczNzI2 | 12,703 | Update TF examples README | {
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https://api.github.com/repos/huggingface/transformers/issues/12702 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12702/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12702/comments | https://api.github.com/repos/huggingface/transformers/issues/12702/events | https://github.com/huggingface/transformers/issues/12702 | 944,340,206 | MDU6SXNzdWU5NDQzNDAyMDY= | 12,702 | Examples/flax/run_clm_flax.py showing error file extension error for train_file attribute even though file has the correct extension | {
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"Hey @AnantShankhdhar, \r\n\r\nI cannot copy paste the script to run the code since it's a screenshot (please never post screenshots of code in an issue, always copy-paste & format them with:\r\n\r\n```\r\nrun.sh --param1 --param2\r\n```",
"To solve you error, you should have this format in your bash script\r\n\r... | 1,626 | 1,626 | 1,626 | NONE | null | ## Environment info
- `transformers` version: 4.9.0.dev0
- Platform: Linux-5.4.0-1043-gcp-x86_64-with-glibc2.29
- Python version: 3.8.10
- PyTorch version (GPU?): not installed (NA)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): 0.3.4 (tpu)
- Jax version: 0.2.16
- JaxLib vers... | {
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https://api.github.com/repos/huggingface/transformers/issues/12701 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12701/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12701/comments | https://api.github.com/repos/huggingface/transformers/issues/12701/events | https://github.com/huggingface/transformers/pull/12701 | 944,328,934 | MDExOlB1bGxSZXF1ZXN0Njg5ODI4MDc3 | 12,701 | Translate README.md to Traditional Chinese | {
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"I'll ask my friends who are also native in Traditional Chinese, to help double check the terms in the files. So, we can ensure the accuracy of the translation.",
"@JetRunner We have had the files checked. It is ready to merge if there is no other mistake.",
"Cool! I'll give it a look then we are ready to merge... | 1,626 | 1,626 | 1,626 | CONTRIBUTOR | null | # What does this PR do?
1. Add README_zh-hant.md and links to direct users to each README.
2. Some of terms in the file can be found at [National Academy for Educational Research](https://terms.naer.edu.tw/), an official website providing bilingual translations between English and Traditional Chinese.
## Who can... | {
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"cc @sgugger "
] | 1,626 | 1,626 | 1,626 | MEMBER | null | # 🚀 Doc request
The gist is in the title. I was expecting the doc/docstring for the `push_to_hub` method for Tokenizers to be also in the Tokenizer class doc pages, e.g. on the main `Tokenizer` API landing page: https://huggingface.co/transformers/main_classes/tokenizer.html
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https://api.github.com/repos/huggingface/transformers/issues/12699 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12699/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12699/comments | https://api.github.com/repos/huggingface/transformers/issues/12699/events | https://github.com/huggingface/transformers/pull/12699 | 944,220,822 | MDExOlB1bGxSZXF1ZXN0Njg5NzM0MDMw | 12,699 | Add a custom timeout for log replica test | {
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"Hmm, it's really slow - clocked `1m16.735s` on my machine. \r\n\r\nLet me see first if it can be made faster.",
"It's like 4 tests in one - so it adds up - I guess I could just split it in several sub-tests.",
"What do you guys prefer here? We can also make it @slow - which will shave off ~80sec - it doesn't n... | 1,626 | 1,626 | 1,626 | MEMBER | null | Add a custom timeout for log replica test. Let's keep these outliers to a minimum. | {
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https://api.github.com/repos/huggingface/transformers/issues/12698 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12698/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12698/comments | https://api.github.com/repos/huggingface/transformers/issues/12698/events | https://github.com/huggingface/transformers/issues/12698 | 944,187,776 | MDU6SXNzdWU5NDQxODc3NzY= | 12,698 | [Examples]Flax Seq2Seq example fails when doing only eval or predict | {
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"yes, right now for simplicity the scripts are written such that they always expect train datasets.\r\n\r\nFeel free to open a PR :)",
"Sure, I will open PR!",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment ... | 1,626 | 1,629 | 1,629 | CONTRIBUTOR | null | ## Descriptions
In the flax example if we only do predict or eval step it is not flexible enough to work. It will fail at this line
https://github.com/huggingface/transformers/blob/5dd0c956a8eb492c8597e9673cc1d818f0e6b501/examples/flax/summarization/run_summarization_flax.py#L569
because the current script is wr... | {
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https://api.github.com/repos/huggingface/transformers/issues/12697 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12697/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12697/comments | https://api.github.com/repos/huggingface/transformers/issues/12697/events | https://github.com/huggingface/transformers/issues/12697 | 944,137,742 | MDU6SXNzdWU5NDQxMzc3NDI= | 12,697 | SystemError: <built-in method run_backward of torch._C._EngineBase object at 0x7f06bfae6b30> returned NULL without setting an error> ``` | {
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"Hmm, somehow this issue has never been addressed. \r\n\r\nIn such cases you will have a better luck reporting torch-land issues to https://github.com/pytorch/pytorch/issues as chances are low we will have the required understanding.\r\n\r\nI tried to google the exception and only found this to be relevant:\r\nhttp... | 1,626 | 1,631 | 1,631 | NONE | null | > ```
> import pickle
> from transformers import AutoModelForCausalLM
>
> pickle.dumps(AutoModelForCausalLM)
> ```
>
> I think it's comes from the fact those are autogenerated.
Thanks for your help, but I tested based on your modification in #12654, a new problem arises:
@stas00 @patrickvonplaten, @Lysan... | {
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https://api.github.com/repos/huggingface/transformers/issues/12696 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12696/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12696/comments | https://api.github.com/repos/huggingface/transformers/issues/12696/events | https://github.com/huggingface/transformers/pull/12696 | 944,031,642 | MDExOlB1bGxSZXF1ZXN0Njg5NTc0OTQ3 | 12,696 | Refactored code to improve performance. | {
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"@LysandreJik Sorry for the ping but I'd like to know your thoughts on this PR and whether I did whatever you had asked me to do in the [previous one](https://github.com/huggingface/transformers/pull/12639). Thanks!",
"Hi, I'd like to put my two cents in this PR.\r\n\r\nAt first, although most of the time we wan... | 1,626 | 1,626 | 1,626 | NONE | null | # What does this PR do?
Refactors several segments of code in the `scripts`,`src`,`tests`,`utils` and `setup.py` and increases performance by a bit, using compression methods and newer practices.
No new functions or methods/models were added; therefore no documentation changes were required.
## Before submittin... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"nice work @stas00, have you tested Perceiver with DeepSpeed.",
"Would be glad to do that, @sameeravithana- in order to do that I need is a Trainer-based example script that I can test with.\r\n\r\nAs you can see from this map:\r\n\... | 1,626 | 1,652 | 1,652 | CONTRIBUTOR | null | This PR continues figuring out how to make various models work with Deepspeed (a lot of fixes happen on the Deepspeed side), most models just work out of the box - the main purpose of this PR is to test as many models as possible. so there are no fixes to add.
- [x] update coverage to albert, bart, bert, bigbird_peg... | {
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Refactors several segments of code in the `scripts`,`src`,`tests`,`utils` and `setup.py` and increases performance by a bit, using compression methods and newer practices.
No new functions or methods/models were added; therefore no documentation changes were required.
## Before subm... | {
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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)... | 1,626 | 1,678 | 1,629 | NONE | null | I am trying to get some models working for summarizing news articles, but for some reason I keep getting this strange out
Output:
"In our series of letters from African journalists, film-maker and columnist Farai Sevenzo looks at ... [subject of input article]"
This has happened on multiple models (Pegasus, Bart... | {
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https://api.github.com/repos/huggingface/transformers/issues/12692 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12692/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12692/comments | https://api.github.com/repos/huggingface/transformers/issues/12692/events | https://github.com/huggingface/transformers/pull/12692 | 943,915,236 | MDExOlB1bGxSZXF1ZXN0Njg5NDc3MTcw | 12,692 | Provide mask_time_indices to `_mask_hidden_states` to avoid double masking | {
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"Thanks a lot for fixing this! Can you also make the fix to `modeling_wav2vec2.py`? Think the same error is there",
"and for both tf_hubert and tf_wav2vec2, we need to do the change as well I think ",
"Thanks a lot!"
] | 1,626 | 1,626 | 1,626 | MEMBER | null | The current behavior for training Hubert masks randomly some "spans" of time according to a `mask_time_indices` which can be provided or not to the `forward(..., mask_time_indices=Optional[torch.Tensor])` .
When providing this value (_interesting to mask the loss over non masked spans_), the mask was applied outsid... | {
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"Hello! What's the code that triggers this error?",
"import os\r\nloaded_model = torch.load(\"mt_luganda.pt\",map_location=torch.device('cpu'))",
"Are you sure? That's unrelated to `tranformers` or `huggingface`, yet I do see a `transformers` cache error in your issue title.",
"am trying to load that model in... | 1,626 | 1,666 | 1,629 | NONE | null | This happens when try to load the model on another device
## 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:
- Platform:
- Python version:
- PyTorch version... | {
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https://api.github.com/repos/huggingface/transformers/issues/12690 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12690/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12690/comments | https://api.github.com/repos/huggingface/transformers/issues/12690/events | https://github.com/huggingface/transformers/pull/12690 | 943,896,458 | MDExOlB1bGxSZXF1ZXN0Njg5NDYxMDM1 | 12,690 | [Deepspeed] non-native optimizers are mostly ok with zero-offload | {
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So this PR relaxes the earlier incorrectly imposed restriction.
@sgugger
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https://api.github.com/repos/huggingface/transformers/issues/12689 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12689/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12689/comments | https://api.github.com/repos/huggingface/transformers/issues/12689/events | https://github.com/huggingface/transformers/pull/12689 | 943,841,501 | MDExOlB1bGxSZXF1ZXN0Njg5NDEzNjEy | 12,689 | Flax MLM: Allow validation split when loading dataset from local file | {
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In Flax training scripts for MLM, CLM, and T5, this PR enables the option to apply validation-split-percentage when loading datasets from local file. This option already worked when loading standard HF datasets but was missing for local files.
## Who can review?
@patrickvonplaten @pat... | {
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"@BramVanroy, please have a look if this addresses your question and I will add it to the doc. It of course assumes that https://huggingface.co/transformers/master/parallelism.html has been read (hence the abbreviations).\r\n\r\nIf more information is needed please don't hesitate to say what you feel is missing and... | 1,626 | 1,626 | 1,626 | CONTRIBUTOR | null | # 🚀 Feature request
Was asked to expand https://huggingface.co/transformers/master/parallelism.html to include recommendations on which mode to use when. | {
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https://api.github.com/repos/huggingface/transformers/issues/12687 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12687/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12687/comments | https://api.github.com/repos/huggingface/transformers/issues/12687/events | https://github.com/huggingface/transformers/pull/12687 | 943,819,529 | MDExOlB1bGxSZXF1ZXN0Njg5Mzk0NTkx | 12,687 | Assert evaluation_strategy not no when load_best_model_at_end | {
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"> I see that practically:\r\n>\r\n> load_best_model_at_end cancels out save_strategy=steps.\r\n> load_best_model_at_end has no impact on save_strategy=epoch.\r\n\r\nThat is not completely correct. One should also add that if `evaluation_strategy=steps`, a save is done every `eval_steps` and if `evaluation_strategy... | 1,626 | 1,651 | 1,626 | COLLABORATOR | null | # What does this PR do?
Since using `--load_best_model_at_end` overrides the `save_strategy` by the `evaluation_strategy`, this PR adds a defensive check to make sure that strategy is not "no" (otherwise nothing is ever saved).
Fixes #12685 | {
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"@sgugger , I think all docs up to 2.9 are gone (checked 2.8 randomly and it was missing) so there might be a broader isssue.\r\n\r\n",
"It might be linked to use more recent versions of sphinx when building it, though I'm not sure. This is not a priority for us, especially for such an older version (it would be ... | 1,626 | 1,629 | 1,629 | NONE | null | ## Environment info
- `transformers` version: 2.3.0
### Who can help
Documentation: @sgugger
## To reproduce
Steps to reproduce the behavior:
Click [here](https://huggingface.co/transformers/v2.3.0/model_doc/gpt2.html#gpt2doubleheadsmodel) and see there are no docs for 2.3.0.
## Expected beha... | {
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https://api.github.com/repos/huggingface/transformers/issues/12685 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12685/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12685/comments | https://api.github.com/repos/huggingface/transformers/issues/12685/events | https://github.com/huggingface/transformers/issues/12685 | 943,727,179 | MDU6SXNzdWU5NDM3MjcxNzk= | 12,685 | [trainer] `--load_best_model_at_end` silently turns of `--save_steps` settings | {
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"Yes, as said in that comment, I think it's reasonable if we raise an error if `--load_best_model_at_end` is set and `--evaluation_strategy` is \"no\" since there is no \"best model\" to pick from in that case. I can do it later today if you want.",
"I'm still not 100% clear on how this feature's reliance on eval... | 1,626 | 1,630 | 1,630 | CONTRIBUTOR | null | Splitting off from https://github.com/huggingface/transformers/pull/12477#discussion_r668326212
Currently `--load_best_model_at_end` silently turns off `--save_steps` settings when `--do_eval` is off (or `--evaluation_strategy` is set to other than `"no"`, which otherwise automatically turns on `--do_eval`)
The ... | {
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https://api.github.com/repos/huggingface/transformers/issues/12684 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12684/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12684/comments | https://api.github.com/repos/huggingface/transformers/issues/12684/events | https://github.com/huggingface/transformers/pull/12684 | 943,640,220 | MDExOlB1bGxSZXF1ZXN0Njg5MjQyNDI1 | 12,684 | Add timeout to CI. | {
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These can be adjusted later on, but it prevents the two hanging suites right now and is important to merge to get feedback on the current coverage.
I've re-enabled the `-v` option on `pytest` as this was inst... | {
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https://api.github.com/repos/huggingface/transformers/issues/12683 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12683/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12683/comments | https://api.github.com/repos/huggingface/transformers/issues/12683/events | https://github.com/huggingface/transformers/issues/12683 | 943,621,871 | MDU6SXNzdWU5NDM2MjE4NzE= | 12,683 | confusing description in prepare_seq2seq_batch of MBart | {
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"Hi @XuhuiZhou, the `prepare_seq2seq_batch` method is now deprecated and the description is a bit outdated.\r\nwe don't recommend using it anymore. You could refer to this section to see how to prepare data for mbart-50 https://huggingface.co/transformers/model_doc/mbart.html#training-of-mbart-50",
"This issue ha... | 1,626 | 1,629 | 1,629 | NONE | null | ## Information
The model that I am using is `MBart-50`
In the description of `prepare_seq2seq_batch`, it says _Prepare model inputs for translation. For best performance, translate one sentence at a time._. Does this mean we should not do batching if we want to obtain the best performance? I am curious why it is ... | {
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https://api.github.com/repos/huggingface/transformers/issues/12682 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12682/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12682/comments | https://api.github.com/repos/huggingface/transformers/issues/12682/events | https://github.com/huggingface/transformers/pull/12682 | 943,582,808 | MDExOlB1bGxSZXF1ZXN0Njg5MTk0Mjk1 | 12,682 | Fix minor docstring typos. | {
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Fix minor docstring typos in #12664
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [ ] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/master/CONTRIBUTING.md#start-con... | {
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"This should be fixed by the work in #12664 ",
"Closing because it was fixed"
] | 1,626 | 1,626 | 1,626 | 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
### Who can help
@patil-suraj @sgugger
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"Thank you for the detailed report, @thies1006 \r\n\r\nI suspect that at some point we have the model allocated more than once.\r\n\r\nI will profile the memory usage and get back to you with the findings.\r\n\r\nI'm glad to hear that meanwhile you have a workaround.",
"So first I see our non-deepspeed checkpoint... | 1,626 | 1,626 | 1,626 | NONE | null | Might be similar problem as #11317, node runs out of cpu memory (512GB).
To reproduce:
(i)
```
deepspeed --hostfile myhostfile \ ${_PATH}/examples/pytorch/summarization/run_summarization.py \
--model_name_or_path hyunwoongko/blenderbot-9B \
--do_train \
--do_eval \
--dataset_name cnn_dailymail \
--dat... | {
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https://api.github.com/repos/huggingface/transformers/issues/12679 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12679/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12679/comments | https://api.github.com/repos/huggingface/transformers/issues/12679/events | https://github.com/huggingface/transformers/pull/12679 | 943,311,780 | MDExOlB1bGxSZXF1ZXN0Njg4OTUzNDA4 | 12,679 | Fix multiple choice doc examples | {
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The multiple choice example docstrings was fixed for PyTorch but not Flax and TensorFlow. This PR addresses that. | {
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https://api.github.com/repos/huggingface/transformers/issues/12678 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12678/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12678/comments | https://api.github.com/repos/huggingface/transformers/issues/12678/events | https://github.com/huggingface/transformers/issues/12678 | 943,272,348 | MDU6SXNzdWU5NDMyNzIzNDg= | 12,678 | Mask prediction does not work with whitespace before mask token | {
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"Sure! It's not very easy to avoid before pretraining (it depends on how you set up the data collator), but if you know how the special tokens work in tokenizers and transformers you can easily fix it next time.\r\n\r\nIf you notice that `\"word<mask>\"` works well, but `\"word <mask>\"` doesn't then this means tha... | 1,626 | 1,626 | 1,626 | 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: 4.9.0.dev0
- Platform: Linux-5.4.0-1043-gcp-x86_64-with-glibc2.29
- Python version: 3.8.10
- PyTorch version... | {
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https://api.github.com/repos/huggingface/transformers/issues/12677 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12677/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12677/comments | https://api.github.com/repos/huggingface/transformers/issues/12677/events | https://github.com/huggingface/transformers/issues/12677 | 943,225,917 | MDU6SXNzdWU5NDMyMjU5MTc= | 12,677 | Processing custom wikipedia data with clm training script throws error when "blockifying" data | {
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"I printed the offending file (examples) which is a dict with the following keys\r\n```\r\ndict_keys(['attention_mask', 'input_ids', 'text'])\r\n```\r\nfor the data. ",
"I see! Can you try replacing:\r\n\r\n```python\r\n tokenized_datasets = dataset.map(\r\n tokenize_function,\r\n batched=True,\... | 1,626 | 1,626 | 1,626 | NONE | null | I'm loading in a wikipedia from hugginface dataset to run the CLM script.
```python
from datasets import load_dataset
import pdb
def load_and_clean_oscar():
dataset = load_dataset('oscar', 'unshuffled_deduplicated_sv', split="train")
dataset = dataset.remove_columns(['id'])
print(dataset)
pd... | {
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https://api.github.com/repos/huggingface/transformers/issues/12676 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12676/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12676/comments | https://api.github.com/repos/huggingface/transformers/issues/12676/events | https://github.com/huggingface/transformers/pull/12676 | 943,156,004 | MDExOlB1bGxSZXF1ZXN0Njg4ODEyNTg5 | 12,676 | Wrong model is used in example, should be character instead of subword model | {
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"It's not easy to make a file the styler is happy with, haha."
] | 1,626 | 1,626 | 1,626 | CONTRIBUTOR | null | # What does this PR do?
A canine.rst fix.
In the original Google repo for CANINE there was mixup in the model names in the README.md, which was fixed 2 weeks ago. Since this transformer model was created before, it probably resulted in wrong use in this example in canine.rst.
s = subword, c = character
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https://api.github.com/repos/huggingface/transformers/issues/12675 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12675/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12675/comments | https://api.github.com/repos/huggingface/transformers/issues/12675/events | https://github.com/huggingface/transformers/pull/12675 | 943,148,664 | MDExOlB1bGxSZXF1ZXN0Njg4ODA1OTY5 | 12,675 | [WIP][examples/flax] add gradient accumulation | {
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"Thanks a lot for adding this! That's super useful! It seems to require some bigger changes to core functionality to the script so I think we should be careful here. Also I'm starting to wonder whether the examples become to complicated to read with more and more functionality being added and whether we should mayb... | 1,626 | 1,648 | null | MEMBER | null | # What does this PR do?
Adds gradient accumulation in flax language modeling scripts. | {
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Steps to reproduce the behavior:
1.
2.
3.
<!-- If you have code snippets, error messages, stack traces please provide them here as well.
```python
model = FlaxGPT2ForMultipleChoice.from_pretrained('gpt2')
```
Do not use screenshots, as they are hard to read and (more im... | {
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https://api.github.com/repos/huggingface/transformers/issues/12673 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12673/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12673/comments | https://api.github.com/repos/huggingface/transformers/issues/12673/events | https://github.com/huggingface/transformers/issues/12673 | 942,761,771 | MDU6SXNzdWU5NDI3NjE3NzE= | 12,673 | Too Many kernels and embeddings were randomly initialized when loading Hugging Face GPT-2 Model | {
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"Hi, this is because you are using a different base model prefix `self.gpt2` to load the base model. To be able to add any heads and still be able to load the base model weights the pre-trained class expects the base model to have the same prefix.\r\n\r\nFor gpt2 it is `self.transformer`, changing `self.gpt2` to `s... | 1,626 | 1,626 | 1,626 | 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:
- Platform:colab
- Jax version (CPU):0.2.13
- Using GPU in script?:No
- Using distributed or parallel set-u... | {
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https://api.github.com/repos/huggingface/transformers/issues/12672 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12672/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12672/comments | https://api.github.com/repos/huggingface/transformers/issues/12672/events | https://github.com/huggingface/transformers/pull/12672 | 942,670,757 | MDExOlB1bGxSZXF1ZXN0Njg4MzcxNTY5 | 12,672 | [doc] fix distil* example link | {
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"Great, thanks @songyouwei !\r\n\r\nCould you run `make fixup` at the root of your clone to fix the code quality issue? Thank you!",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease not... | 1,626 | 1,629 | 1,629 | CONTRIBUTOR | null | fix broken links | {
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https://api.github.com/repos/huggingface/transformers/issues/12671 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12671/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12671/comments | https://api.github.com/repos/huggingface/transformers/issues/12671/events | https://github.com/huggingface/transformers/pull/12671 | 942,551,509 | MDExOlB1bGxSZXF1ZXN0Njg4MjY3NDQ3 | 12,671 | Update generation_logits_process.py | {
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"Hi @willfrey, I've merged many of your PRs (thanks for that 🤗) but I don't agree with this one since there is no integer between 0 and 1 so it'll be nice to have the instance check here (in case someone passes a tensor or something).",
"I’d suggest checking against numbers.Integral then because that’s the ABC/p... | 1,626 | 1,629 | 1,629 | CONTRIBUTOR | null | # What does this PR do?
If you're using type hints, then passing an `int` where a `float` is annotated is acceptable as per [PEP 484](https://www.python.org/dev/peps/pep-0484/#the-numeric-tower).
This makes life a little nicer.
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https://api.github.com/repos/huggingface/transformers/issues/12670 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12670/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12670/comments | https://api.github.com/repos/huggingface/transformers/issues/12670/events | https://github.com/huggingface/transformers/issues/12670 | 942,513,844 | MDU6SXNzdWU5NDI1MTM4NDQ= | 12,670 | Converting fairseq roberta to transformer throws ModuleAttributeError: 'RobertaHubInterface' object has no attribute 'args' | {
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"line 81&82 `roberta_sent_encoder.emb_layer_norm` should be changed to `roberta_sent_encoder.layernorm_embedding` ",
"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 th... | 1,626 | 1,671 | 1,629 | NONE | null | https://github.com/huggingface/transformers/blob/c523b241c2e50c3ed035bb76b938b6a944fed7e5/src/transformers/models/roberta/convert_roberta_original_pytorch_checkpoint_to_pytorch.py#L59
Had this error `ModuleAttributeError: 'RobertaHubInterface' object has no attribute 'args'` when running
```
convert_roberta_origin... | {
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https://api.github.com/repos/huggingface/transformers/issues/12669 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12669/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12669/comments | https://api.github.com/repos/huggingface/transformers/issues/12669/events | https://github.com/huggingface/transformers/pull/12669 | 942,509,692 | MDExOlB1bGxSZXF1ZXN0Njg4MjMwNDcw | 12,669 | [tokenizer.prepare_seq2seq_batch] change deprecation to be easily actionable | {
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"Thanks for iterating on this!"
] | 1,626 | 1,626 | 1,626 | CONTRIBUTOR | null | Attempt to make an easier to understand and act upon deprecation by giving explicit instructions on what needs to be done:
Fixes: https://github.com/huggingface/transformers/issues/12622
@sgugger | {
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https://api.github.com/repos/huggingface/transformers/issues/12668 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12668/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12668/comments | https://api.github.com/repos/huggingface/transformers/issues/12668/events | https://github.com/huggingface/transformers/issues/12668 | 942,425,384 | MDU6SXNzdWU5NDI0MjUzODQ= | 12,668 | Vocab size difference between tokenizer and config for XLMR. | {
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"Hello! If you want the configuration and tokenizer to match the same checkpoint, you should load them from same checkpoint:\r\n\r\n```py\r\n>>> from transformers import XLMRobertaConfig\r\n>>> XLMRobertaConfig.from_pretrained('xlm-roberta-base').vocab_size\r\n250002\r\n>>> from transformers import AutoTokenizer\r\... | 1,626 | 1,629 | 1,629 | 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! -->
Copy-and-paste the text below in your GitHub issue and FILL OUT the two last points.
- `transformers` version: 4.8.2
- Platform: ma... | {
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https://api.github.com/repos/huggingface/transformers/issues/12667 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12667/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12667/comments | https://api.github.com/repos/huggingface/transformers/issues/12667/events | https://github.com/huggingface/transformers/pull/12667 | 942,381,429 | MDExOlB1bGxSZXF1ZXN0Njg4MTE4MDg3 | 12,667 | Adding TF translation example | {
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https://api.github.com/repos/huggingface/transformers/issues/12666 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12666/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12666/comments | https://api.github.com/repos/huggingface/transformers/issues/12666/events | https://github.com/huggingface/transformers/issues/12666 | 942,379,885 | MDU6SXNzdWU5NDIzNzk4ODU= | 12,666 | translation with identical source and target language, for text normalization | {
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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... | 1,626 | 1,629 | 1,629 | NONE | null | Hi,
This is rather a general question about translation and I am aware that I don't follow exactly your guidelines, so I am sorry for that.
(We could run the examples mentioned in your readme, great tool!)
We try to conceive normalization for Dutch, as a 'translation' task.
So, is it for instance possible to ... | {
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https://api.github.com/repos/huggingface/transformers/issues/12665 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12665/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12665/comments | https://api.github.com/repos/huggingface/transformers/issues/12665/events | https://github.com/huggingface/transformers/issues/12665 | 942,349,377 | MDU6SXNzdWU5NDIzNDkzNzc= | 12,665 | word_ids() returned by RoBERTa Tokenizer behaves inconsistently for alphanumeric tokens like '18th' | {
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"Thanks for the very helpful reproducer! @n1t0, @SaulLu, could you take a look? Thank you!",
"Thank you for providing a code snippets @hos-arafat !\r\n\r\nIf I understand your request correctly, you would like to retrieve the index of the word to which each token belongs.\r\n\r\nIf this is your request, you have ... | 1,626 | 1,630 | 1,630 | 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: 4.8.2
- Platform: Linux-5.4.104+-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.7.10
- PyTorch version ... | {
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https://api.github.com/repos/huggingface/transformers/issues/12664 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12664/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12664/comments | https://api.github.com/repos/huggingface/transformers/issues/12664/events | https://github.com/huggingface/transformers/pull/12664 | 942,347,943 | MDExOlB1bGxSZXF1ZXN0Njg4MDg5MDQw | 12,664 | Add option to load a pretrained model with mismatched shapes | {
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Sometimes, users want to load a checkpoint for a given task with a new head for the same task but different shapes. For instance, they may want to use a checkpoint that does text classification on 2 labels to initialize a model that does text classification on 5 labels.
This PR enables th... | {
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https://api.github.com/repos/huggingface/transformers/issues/12663 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12663/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12663/comments | https://api.github.com/repos/huggingface/transformers/issues/12663/events | https://github.com/huggingface/transformers/pull/12663 | 942,300,266 | MDExOlB1bGxSZXF1ZXN0Njg4MDQ3OTQw | 12,663 | Fix typo in README_zh-hans.md | {
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https://api.github.com/repos/huggingface/transformers/issues/12662 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12662/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12662/comments | https://api.github.com/repos/huggingface/transformers/issues/12662/events | https://github.com/huggingface/transformers/pull/12662 | 942,269,542 | MDExOlB1bGxSZXF1ZXN0Njg4MDIwODQ2 | 12,662 | [Flax Generation] Correct inconsistencies PyTorch/Flax | {
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"The Spanish Marian model should be fixed as well on TPU (cc @gchhablani )\r\n\r\n```python\r\nfrom transformers import FlaxMarianMTModel, MarianTokenizer\r\nimport torch\r\n\r\nmodel_name = \"Helsinki-NLP/opus-mt-en-es\"\r\n\r\nmodel_fx = FlaxMarianMTModel.from_pretrained(model_name)\r\n\r\ntokenizer = MarianToken... | 1,626 | 1,626 | 1,626 | 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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https://api.github.com/repos/huggingface/transformers/issues/12661 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12661/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12661/comments | https://api.github.com/repos/huggingface/transformers/issues/12661/events | https://github.com/huggingface/transformers/issues/12661 | 942,266,430 | MDU6SXNzdWU5NDIyNjY0MzA= | 12,661 | 'TransfoXLLMHeadModelOutput' object has no attribute 'loss' | {
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"Indeed, there's an issue with the docstring! `TransfoXL` has two losses, here's the correct snippet:\r\n```py\r\nimport torch\r\nfrom transformers import TransfoXLTokenizer, TransfoXLLMHeadModel\r\ntokenizer = TransfoXLTokenizer.from_pretrained('transfo-xl-wt103')\r\nmodel = TransfoXLLMHeadModel.from_pretrained('t... | 1,626 | 1,629 | 1,629 | NONE | null | ## Environment info
- `transformers` version: 4.6.1
- Platform: Linux-5.11.0-7620-generic-x86_64-with-glibc2.10
- Python version: 3.8.10
- PyTorch version (GPU?): 1.8.1 (True)
- Tensorflow version (GPU?): not installed (NA)
Models:
- Transformer XL
## To reproduce
Just to run the example from the d... | {
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https://api.github.com/repos/huggingface/transformers/issues/12660 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12660/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12660/comments | https://api.github.com/repos/huggingface/transformers/issues/12660/events | https://github.com/huggingface/transformers/pull/12660 | 942,242,422 | MDExOlB1bGxSZXF1ZXN0Njg3OTk3NDY5 | 12,660 | Updates timeline for project evaluation | {
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https://api.github.com/repos/huggingface/transformers/issues/12659 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12659/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12659/comments | https://api.github.com/repos/huggingface/transformers/issues/12659/events | https://github.com/huggingface/transformers/issues/12659 | 942,212,266 | MDU6SXNzdWU5NDIyMTIyNjY= | 12,659 | Can't load pretrained model when working in virtual environment | {
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"Hello! There shouldn't be any difference between using the system-wide environment vs the virtual environment. We mostly use virtual environments to work on `transformers` and we heavily recommend using one when working with `transformers`. \r\n\r\nAre you sure the error comes from the virtual environment and now ... | 1,626 | 1,629 | 1,629 | 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: 4.8.2
- Platform: Pytorch
- Python version: 3.7.6
- PyTorch version (GPU?): 1.9.0 no GPU
- Using GPU in scr... | {
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https://api.github.com/repos/huggingface/transformers/issues/12658 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12658/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12658/comments | https://api.github.com/repos/huggingface/transformers/issues/12658/events | https://github.com/huggingface/transformers/issues/12658 | 942,169,563 | MDU6SXNzdWU5NDIxNjk1NjM= | 12,658 | Autotokenizer error "Already borrowed" when used on thread pool | {
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"Duplicate of https://github.com/huggingface/tokenizers/issues/537",
"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](h... | 1,626 | 1,629 | 1,629 | NONE | null | ## Environment info
- `transformers` version: 4.8.2
- Platform: Databricks
- Python version: 3.7.10
- PyTorch version (GPU?): GPU
- Using GPU in script?: No
- Using distributed or parallel set-up in script?: Yes
## Information
Model I am using : camembert-base:
The problem arises when i try to use a toke... | {
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https://api.github.com/repos/huggingface/transformers/issues/12657 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12657/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12657/comments | https://api.github.com/repos/huggingface/transformers/issues/12657/events | https://github.com/huggingface/transformers/pull/12657 | 942,161,672 | MDExOlB1bGxSZXF1ZXN0Njg3OTI4NzE5 | 12,657 | Remove SageMaker documentation | {
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This PRs removes the SageMaker documentation from huggingface.co/transformers since there is a new documentation of hf.co/docs/sagemaker.
Not sure if the deprecation "warning" should be displayed or just a comment for us. What do you think? | {
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"Nice catch !"
] | 1,626 | 1,626 | 1,626 | MEMBER | null | The pipeline test was PyTorch only when ran on both PT and TF, the slow test was failing. | {
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"Indeed, there was a typo. Thanks!"
] | 1,626 | 1,626 | 1,626 | MEMBER | null | The W2V2CTC shouldn't be used to create the input values for W2V2, so the output of `encode_plus` shouldn't be used as raw input for the model. | {
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The auto-generated classes for the Auto models are not picklable, because they are dynamically generated (so pickle can't trace them properly). This PR changes a little bit the way to create the Auto classes in each of their modeling files like proper classes, then update them to add the righ... | {
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"Hey @LysandreJik,\r\n\r\nEven original tokenizer is not introducing space before `[MASK]`, so I think tokenizer is alright & the test is wrong instead.\r\n\r\n```\r\nwget https://huggingface.co/google/bigbird-roberta-base/resolve/main/spiece.model\r\ns = spm.SentencePieceProcessor(model_file='spiece.model')\r\ns.d... | 1,626 | 1,626 | 1,626 | MEMBER | null | This patches the BigBird integration test.
The core of the issue is that the `[MASK]` token is an `AddedToken` with `lstrip=True`. It, therefore, gobbles up the spaces on the left without getting a sentence piece underline.
Therefore, when decoding, the internal sentence piece tokenizer is unaware that it should ... | {
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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)... | 1,626 | 1,629 | 1,629 | MEMBER | null | The TF TransfoXL model does not output `logits` but `prediction_scores` which are different due to the `AdaptiveEmbedding`.
The TF version of `generate` requires the `logits` to be output, therefore the model doesn't work with the `generate` method. | {
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https://api.github.com/repos/huggingface/transformers/issues/12650 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12650/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12650/comments | https://api.github.com/repos/huggingface/transformers/issues/12650/events | https://github.com/huggingface/transformers/pull/12650 | 942,058,374 | MDExOlB1bGxSZXF1ZXN0Njg3ODQwMjc5 | 12,650 | The extended trainer tests should require torch | {
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This adds a requirement for torch for all extended trainer tests. | {
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"Great catch! \r\nIndeed, this is not normal. Feel free to give it a try to fix this as I won't be able to assign time for it this week, thanks :) ",
"3 issues that are causing this in-consistency\r\n\r\n- The fast tokenizer was using `ByteLevel` `decoder ` which was not removing the end of word suffix `</w>`. Us... | 1,626 | 1,691 | null | 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: 4.8.2
- Platform: Linux-5.4.104+-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.7.10
- PyTorch version ... | {
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"Traced back to this commit: https://github.com/huggingface/transformers/commit/184ef8ecd05ac783827b196e8d15403820efedf9\r\n\r\nI suspect there is a difference between the upload TF and PT checkpoints",
"It seems there's a single difference in the final logits bias:\r\n\r\n```py\r\nimport torch\r\nfrom transforme... | 1,626 | 1,631 | null | MEMBER | null | The test fails with the following:
```
_________________ TestMarian_MT_EN.test_batch_generation_mt_en _________________
[gw0] linux -- Python 3.6.9 /usr/local/bin/python
self = <tests.test_modeling_tf_marian.TestMarian_MT_EN testMethod=test_batch_generation_mt_en>
@slow
def test_batch_generation_mt_... | {
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- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [ ] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/master/CONTRIBUTING.md#start-contributing-pull-requests),
Pull Request section?
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