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https://api.github.com/repos/huggingface/transformers/issues/6621 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6621/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6621/comments | https://api.github.com/repos/huggingface/transformers/issues/6621/events | https://github.com/huggingface/transformers/pull/6621 | 682,892,892 | MDExOlB1bGxSZXF1ZXN0NDcxMDYzMjEy | 6,621 | [Tests] fix attention masks in Tests | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6621?src=pr&el=h1) Report\n> Merging [#6621](https://codecov.io/gh/huggingface/transformers/pull/6621?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/573bdb0a5d2897ff6c7520ebb38693c7acfbf17e?el=desc) will **increase... | 1,597 | 1,597 | 1,597 | MEMBER | null | This PR should fix the flaky test failures of `test_modeling_output_equivalence` and `test_feed_forward_chunking`.
I added a new random attention_mask generation function that makes sure that at least one token is attended to. | {
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https://api.github.com/repos/huggingface/transformers/issues/6620 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6620/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6620/comments | https://api.github.com/repos/huggingface/transformers/issues/6620/events | https://github.com/huggingface/transformers/issues/6620 | 682,873,627 | MDU6SXNzdWU2ODI4NzM2Mjc= | 6,620 | Pegasus: OSError: Unable to load weights from pytorch checkpoint file. | {
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"works for me in in torch 1.5.1. and torch 1.6.\r\nMaybe this is a one off s3 failure?\r\nCan anybody else replicate?\r\n\r\n```\r\nfrom transformers import PegasusForConditionalGeneration\r\nmodel = PegasusForConditionalGeneration.from_pretrained(model_name)\r\n```",
"I set ```force_download=True``` and it work... | 1,597 | 1,677 | 1,597 | 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: 3.0.2
- Platform: macOS-10.14.6-x86_64-i386-64bit
- Python version: 3.8.5
- PyTorch version (GPU?): 1.6... | {
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https://api.github.com/repos/huggingface/transformers/issues/6619 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6619/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6619/comments | https://api.github.com/repos/huggingface/transformers/issues/6619/events | https://github.com/huggingface/transformers/issues/6619 | 682,855,128 | MDU6SXNzdWU2ODI4NTUxMjg= | 6,619 | [DistilBert] Flaky tests | {
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"Will investigate now @sgugger @VictorSanh . My first guess is that it because of \"inf\" values because of masking because this error does not happen when the attention mask is not passed to forward. "
] | 1,597 | 1,597 | 1,597 | 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: 3.0.2
- Platform: Linux-5.3.0-61-generic-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.7.5
- PyTo... | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6618?src=pr&el=h1) Report\n> Merging [#6618](https://codecov.io/gh/huggingface/transformers/pull/6618?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/039d8d65fc19ac74a8c7917233eb2828c46c0fa7?el=desc) will **decrease... | 1,597 | 1,598 | 1,597 | CONTRIBUTOR | null | discussed in #6551 | {
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https://api.github.com/repos/huggingface/transformers/issues/6617 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6617/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6617/comments | https://api.github.com/repos/huggingface/transformers/issues/6617/events | https://github.com/huggingface/transformers/issues/6617 | 682,762,171 | MDU6SXNzdWU2ODI3NjIxNzE= | 6,617 | unk handling in v3.0 different than v2.0? | {
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"Hey @BCWang93, can you post a reproducible code snippet? It would be great if we could just copy paste your code and see the same error you post here :-) ",
"> Hey @BCWang93, can you post a reproducible code snippet? It would be great if we could just copy paste your code and see the same error you post here :-)... | 1,597 | 1,604 | 1,604 | NONE | null | # ❓ Questions & Help
<!-- The GitHub issue tracker is primarly intended for bugs, feature requests,
new models and benchmarks, and migration questions. For all other questions,
we direct you to the Hugging Face forum: https://discuss.huggingface.co/ .
You can also try Stack Overflow (SO) where a wh... | {
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https://api.github.com/repos/huggingface/transformers/issues/6616 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6616/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6616/comments | https://api.github.com/repos/huggingface/transformers/issues/6616/events | https://github.com/huggingface/transformers/issues/6616 | 682,739,963 | MDU6SXNzdWU2ODI3Mzk5NjM= | 6,616 | Fine tune masked language model on custom dataset 'index out of range in self' | {
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"same question",
"same issues coming for me as well",
"same issue",
"Does this still happen in the latest transformers version? Could you put the output of `transformers-cli` env here? Thanks.",
"This issue has been automatically marked as stale and been closed because it has not had recent activity. Thank ... | 1,597 | 1,645 | 1,614 | NONE | null | # ❓ Questions & Help
Hi I am training a mlm model with reference of this tutorial, https://huggingface.co/blog/how-to-train. However,I got the error of 'index out of range in self' but I already set max_length as well as block size in my code. I am also not clear how to load and prepare data, should I mask certain... | {
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https://api.github.com/repos/huggingface/transformers/issues/6615 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6615/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6615/comments | https://api.github.com/repos/huggingface/transformers/issues/6615/events | https://github.com/huggingface/transformers/issues/6615 | 682,680,060 | MDU6SXNzdWU2ODI2ODAwNjA= | 6,615 | I can't reproduce the results of tf-xlm-r-ner-40-lang model | {
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"Hello!\r\n\r\nWhat is the command line you use to train the model?",
"Hello @jplu \r\nthat's the command line I tried to use to train the model (you added that command to the model description on huggingface community models)\r\n\r\n\r\n```\r\ncd examples/ner\r\npython run_tf_ner.py \\\r\n--data_dir . \\\r\n--la... | 1,597 | 1,604 | 1,604 | NONE | null | I tired to reproduce the results of tf-xlm-r-ner-40-lang model but there were compatibility issues in the token-classification/run_tf_ner.py
I fixed some of these issue but it's still not running as expected, @jplu could you please share with me the transformers/tf version used to produce the results of tf-xlm-r-ner-4... | {
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https://api.github.com/repos/huggingface/transformers/issues/6614 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6614/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6614/comments | https://api.github.com/repos/huggingface/transformers/issues/6614/events | https://github.com/huggingface/transformers/pull/6614 | 682,551,963 | MDExOlB1bGxSZXF1ZXN0NDcwNzc0MDEw | 6,614 | removed redundant arg in prepare_inputs | {
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"You may be right but maybe there is a reason? @sgugger ",
"I'm guessing it was used at some point and then I forgot to remove it when it wasn't used anymore. Thanks for fixing!"
] | 1,597 | 1,597 | 1,597 | CONTRIBUTOR | null | I am not sure why `model` was being passed in `_prepare_inputs`. It seemed redundant. | {
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https://api.github.com/repos/huggingface/transformers/issues/6613 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6613/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6613/comments | https://api.github.com/repos/huggingface/transformers/issues/6613/events | https://github.com/huggingface/transformers/issues/6613 | 682,488,652 | MDU6SXNzdWU2ODI0ODg2NTI= | 6,613 | FillMaskPipeline return special tokens i.e. <mask> as prediction | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n"
] | 1,597 | 1,604 | 1,604 | NONE | null | # ❓ FillMaskPipeline return special tokens i.e. \<mask\> as prediction
## Details
Im training a new language model from scratch using ByteLevelBPETokenizer for tokenizer and RobertaForMaskedLM for self-supervised language model. The config is as follow:
Tokenizer:
```
tokenizer = ByteLevelBPETokenizer()
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6612?src=pr&el=h1) Report\n> Merging [#6612](https://codecov.io/gh/huggingface/transformers/pull/6612?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/18ca0e91402d17950b870d7c9f67ddb7fd573817&el=desc) will **decrease... | 1,597 | 1,598 | 1,598 | CONTRIBUTOR | null | This seems to + 0.2 BLEU | {
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"Hey @pranavpsv, \r\n\r\nYes, I think we can switch the `TextGenerationPipeline` to `AutoModelForCausalLM` and `AutoModelForSeq2SeqLM`. So check if the model is in one of the above and then use it, instead of using `AutoModelWithLMHead`. Also once we have a `ConditionalTextGenerationPipeline` we can remove the `Aut... | 1,597 | 1,603 | 1,603 | CONTRIBUTOR | null | @TevenLeScao
## 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: 3.0.2
- Platform: Linux-4.19.112+-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.6
-... | {
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https://api.github.com/repos/huggingface/transformers/issues/6610 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6610/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6610/comments | https://api.github.com/repos/huggingface/transformers/issues/6610/events | https://github.com/huggingface/transformers/pull/6610 | 682,255,933 | MDExOlB1bGxSZXF1ZXN0NDcwNTIwNjIy | 6,610 | [seq2seq Example] Convert tensor to List[int] for decoding | {
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"what are your versions? This doesn't break for me.\r\nTry running \r\n```\r\ntransformers-cli env\r\n```",
"The latest version from PyPI, v3.0.2. It doesn't happen while running locally but does break on remote executions, though.\r\n\r\nLooking through the documentation, it made sense to me that an error would ... | 1,597 | 1,597 | 1,597 | CONTRIBUTOR | null | Ran into an error today while using `finetune.py` where decoding kept failing because the output was a `torch.Tensor` instead of a `List[int]`. This fixes that. | {
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https://api.github.com/repos/huggingface/transformers/issues/6609 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6609/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6609/comments | https://api.github.com/repos/huggingface/transformers/issues/6609/events | https://github.com/huggingface/transformers/issues/6609 | 682,247,720 | MDU6SXNzdWU2ODIyNDc3MjA= | 6,609 | PegasusForConditionalGeneration - Error in loading state dictionary | {
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"I just fixed. Can you try again. Should produce a warning but no error.",
"> I just fixed. Can you try again. Should produce a warning but no error.\r\n\r\nI am still getting the below error. It does not seem to even go to the tokenizer. It throws the error right when we acquire the pretrained model. It seems as... | 1,597 | 1,597 | 1,597 | 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: 3.0.2
- Platform: Linux-5.3.0-1034-azure-x86_64-with-debian-buster-sid
- Python version: 3.7.7
- PyTorc... | {
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"you could input the `input_embeds` tokens instead of the `input_ids` to the forward pass and adjust the `hidden_size` accordingly. Or you just tweak the model files yourself and you remove `nn.Embeddings` and replace it by a dense layer. Btw, normally you get much better answers for these kind of questions when yo... | 1,597 | 1,604 | 1,604 | NONE | null | Hi, I have a dataset which contains continuous values [ batch_size, features ]
Features look like this :
`[0.49221584, -0.021571456, -0.0920076, -0.14408934, -0.62306774]`
I want to apply transformer model on these values and pass it to the final layer, something like this
`batch_data ==> Transformer ==> ... | {
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https://api.github.com/repos/huggingface/transformers/issues/6607 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6607/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6607/comments | https://api.github.com/repos/huggingface/transformers/issues/6607/events | https://github.com/huggingface/transformers/pull/6607 | 682,155,989 | MDExOlB1bGxSZXF1ZXN0NDcwNDM1NzU4 | 6,607 | [Longformer] try if multi gpu works | {
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https://api.github.com/repos/huggingface/transformers/issues/6606 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6606/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6606/comments | https://api.github.com/repos/huggingface/transformers/issues/6606/events | https://github.com/huggingface/transformers/pull/6606 | 682,146,244 | MDExOlB1bGxSZXF1ZXN0NDcwNDI3NDIy | 6,606 | Regression test for pegasus bugfix | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6606?src=pr&el=h1) Report\n> Merging [#6606](https://codecov.io/gh/huggingface/transformers/pull/6606?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/18ca0e91402d17950b870d7c9f67ddb7fd573817?el=desc) will **decrease... | 1,597 | 1,597 | 1,597 | CONTRIBUTOR | null | The bug was that tokenizer.max_model_length (set through `tokenizer_config.json`) was sometimes 1024, but `max_position_embeddings` was only 512. This means that the tokenizer can produce inputs of length 513, which will produce an IndexError when we try to get the from the embedding table.
Since the position embed... | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6605?src=pr&el=h1) Report\n> Merging [#6605](https://codecov.io/gh/huggingface/transformers/pull/6605?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/fe0b85e77a6af041471657069bbb9c21a880cd5c?el=desc) will **increase... | 1,597 | 1,597 | 1,597 | COLLABORATOR | null | This PR moves the tests of the various `data_collator` in `test_data_collator.py` and adds tests of the Trainer on a simple regression problem. While testing, a few problems were uncovered:
- The number of epochs is documented as a float but used as an int, fixed the documentation.
- There was one more step done than... | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6604?src=pr&el=h1) Report\n> Merging [#6604](https://codecov.io/gh/huggingface/transformers/pull/6604?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/18ca0e91402d17950b870d7c9f67ddb7fd573817?el=desc) will **decrease... | 1,597 | 1,597 | 1,597 | CONTRIBUTOR | null | 1. Swapped missing_keys and unexpected_keys.
2. Copy&paste error caused these warnings to say "from TF 2.0" when it's actually "from PyTorch". | {
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https://api.github.com/repos/huggingface/transformers/issues/6601 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6601/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6601/comments | https://api.github.com/repos/huggingface/transformers/issues/6601/events | https://github.com/huggingface/transformers/pull/6601 | 682,014,083 | MDExOlB1bGxSZXF1ZXN0NDcwMzEwOTE0 | 6,601 | Fix GPT2DoubleHeadsModel to work with model.generate() | {
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"I do not know what happened on your PR, any way you can restore or rebase/force-push for the diff to be readable?",
"force-pushed",
"@julien-c Rebased onto latest commit in master (https://github.com/huggingface/transformers/commit/f72fe1f31aca235c7f675680832cc364efe4088e)",
"Don't think the change to `past[... | 1,597 | 1,619 | 1,605 | CONTRIBUTOR | null | `token_type_ids` were not passed through `model_specific_kwargs` nor cut properly with `use_cache`/`past` usage (maybe this should be corrected through bigger PR for all models available for caching). | {
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https://api.github.com/repos/huggingface/transformers/issues/6599 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6599/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6599/comments | https://api.github.com/repos/huggingface/transformers/issues/6599/events | https://github.com/huggingface/transformers/issues/6599 | 681,945,105 | MDU6SXNzdWU2ODE5NDUxMDU= | 6,599 | Pegasus: IndexError: index out of range in self | {
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"Found bug, will be fix by EOD.",
"This is a coincidence. I found the same issue with pegasus-arxiv and pegasus-pubmed today. Glad this will be fixed",
"> \r\n> ## Information\r\n> Model I am using: google/pegasus-cnn_dailymail\r\n> \r\n> The problem arises when using:\r\n> \r\n> ```\r\n> import torch\r\n> from... | 1,597 | 1,603 | 1,597 | NONE | null | @sshleifer
## Environment info
- `transformers` version: 3.0.2
- Platform: macOS-10.14.6-x86_64-i386-64bit
- Python version: 3.8.5
- PyTorch version (GPU?): 1.6.0 (False)
- Tensorflow version (GPU?): 2.2.0 (False)
- Using GPU in script?: No
- Using distributed or parallel set-up in script?: No
## Informati... | {
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https://api.github.com/repos/huggingface/transformers/issues/6597 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6597/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6597/comments | https://api.github.com/repos/huggingface/transformers/issues/6597/events | https://github.com/huggingface/transformers/issues/6597 | 681,889,401 | MDU6SXNzdWU2ODE4ODk0MDE= | 6,597 | tf2 transformers cache dir | {
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"It should be `.cache/torch/transformers` I think (even though \"torch\" is in the name).",
"Probably that's the case. Thanks."
] | 1,597 | 1,598 | 1,598 | CONTRIBUTOR | null | what is the directory of tf2 transformers cache weights?
Thanks | {
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https://api.github.com/repos/huggingface/transformers/issues/6596 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6596/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6596/comments | https://api.github.com/repos/huggingface/transformers/issues/6596/events | https://github.com/huggingface/transformers/pull/6596 | 681,839,322 | MDExOlB1bGxSZXF1ZXN0NDcwMTYzODk0 | 6,596 | Fix #6575 | {
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https://api.github.com/repos/huggingface/transformers/issues/6595 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6595/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6595/comments | https://api.github.com/repos/huggingface/transformers/issues/6595/events | https://github.com/huggingface/transformers/pull/6595 | 681,809,190 | MDExOlB1bGxSZXF1ZXN0NDcwMTM4ODk0 | 6,595 | Typo fix in 04-onnx-export | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6595?src=pr&el=h1) Report\n> Merging [#6595](https://codecov.io/gh/huggingface/transformers/pull/6595?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/ab42d74850233cff9df87701d257d9b975435f66&el=desc) will **increase... | 1,597 | 1,597 | 1,597 | CONTRIBUTOR | null | {
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"If I understand correctly, the BERT model used here is slightly different because:\r\n- It doesn't use token type IDs\r\n- It's tying its word embedding layer to its LM head\r\n- No pooling layer\r\n\r\nDoesn't that just mean we could use an additional architecture instead of an entire model class? Something like ... | 1,597 | 1,600 | 1,599 | MEMBER | null | This PR adds the models from the following paper:
Paper: https://arxiv.org/pdf/1907.12461.pdf
The paper does a great job at showing how pretrained BERT & RoBERTa model can be leveraged for Seq2Seq tasks and yields good results on many seq2seq tasks. It's fits very well with the current implementation of the Encod... | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6593?src=pr&el=h1) Report\n> Merging [#6593](https://codecov.io/gh/huggingface/transformers/pull/6593?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/ab42d74850233cff9df87701d257d9b975435f66&el=desc) will **increase... | 1,597 | 1,597 | 1,597 | MEMBER | null | The test `test_model_outputs_equivalence` fails quite often at the moment because of a problem with `nan - nan`. This should solve the issue.
Also added more explicit error message in case test error occurs.
Flaky error happens here for example: https://app.circleci.com/pipelines/github/huggingface/transformers/... | {
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"Hey @kiruthiga-A,\r\n\r\nCould you post a complete code example so that we can reproduce the error? If the complete code is too long, a google colab would be super useful.",
"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs.... | 1,597 | 1,620 | 1,607 | NONE | null | I have trained my model with Roberta-base and tested, it works.
But when i try to save the model I get following error:
/usr/local/lib/python3.6/dist-packages/tensorflow/python/saved_model/save.py in list_dependencies(self, obj)
126 obj._object_identifier, # pylint: disable=protected-access
... | {
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https://api.github.com/repos/huggingface/transformers/issues/6590 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6590/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6590/comments | https://api.github.com/repos/huggingface/transformers/issues/6590/events | https://github.com/huggingface/transformers/issues/6590 | 681,549,238 | MDU6SXNzdWU2ODE1NDkyMzg= | 6,590 | Delete Unused TFModelTesterMixin attributes | {
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https://github.com/huggingface/transformers/blob/master/tests/test_modeling_tf_common.py#L76
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https://api.github.com/repos/huggingface/transformers/issues/6589 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6589/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6589/comments | https://api.github.com/repos/huggingface/transformers/issues/6589/events | https://github.com/huggingface/transformers/issues/6589 | 681,530,383 | MDU6SXNzdWU2ODE1MzAzODM= | 6,589 | [seq2seq] finetune.sh OOMs in fp16 w torch 1.6 on colab | {
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"try passing `--fp16 --fp_16_opt_level=O1` \r\nthat is a relevant default that has changed. I have also experienced some torch 1.6 issues, so would love to know if that helps.\r\n\r\n\r\nSemi-relatedly, a good practice is to run \r\n```\r\n!pip freeze | grep transformers\r\n!pip freeze | grep torch\r\n```\r\nat the... | 1,597 | 1,600 | 1,599 | CONTRIBUTOR | null | On trying to fine-tune either T5 or BART models for summarization I was encountering OOM repeatedly in the latest code whereas it used to work fine earlier for me, atleast on Google Colab.
On checking the startup scripts and latest commits I saw that optimizations have been added for native pytorch fp16 support recent... | {
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https://api.github.com/repos/huggingface/transformers/issues/6588 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6588/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6588/comments | https://api.github.com/repos/huggingface/transformers/issues/6588/events | https://github.com/huggingface/transformers/issues/6588 | 681,508,638 | MDU6SXNzdWU2ODE1MDg2Mzg= | 6,588 | all_hidden_states indentation bug in modeling_bert.py | {
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"My bad, I ignore some code in the file. "
] | 1,597 | 1,597 | 1,597 | 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:
- Python version:
- PyTorch version (GPU?):
- Tensorflow version (GPU?):
- Using GPU in s... | {
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https://api.github.com/repos/huggingface/transformers/issues/6587 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6587/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6587/comments | https://api.github.com/repos/huggingface/transformers/issues/6587/events | https://github.com/huggingface/transformers/pull/6587 | 681,466,462 | MDExOlB1bGxSZXF1ZXN0NDY5ODU3MjI1 | 6,587 | Fix bart base test | {
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"spurious"
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https://api.github.com/repos/huggingface/transformers/issues/6586 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6586/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6586/comments | https://api.github.com/repos/huggingface/transformers/issues/6586/events | https://github.com/huggingface/transformers/pull/6586 | 681,462,837 | MDExOlB1bGxSZXF1ZXN0NDY5ODUzODUz | 6,586 | wip: Code to add lang tags to marian model cards | {
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"Let me know if/when you need me to review this!",
"Do you think it's a good investment of time to clean up automated marian model cards/conversion?\r\n\r\nFor first 1000 models from `OPUS-MT-Train` repo, the process was basically \r\ndownload and convert everything, if there is a '+' in the model name try to fin... | 1,597 | 1,600 | 1,600 | CONTRIBUTOR | null | {
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https://api.github.com/repos/huggingface/transformers/issues/6585 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6585/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6585/comments | https://api.github.com/repos/huggingface/transformers/issues/6585/events | https://github.com/huggingface/transformers/issues/6585 | 681,399,065 | MDU6SXNzdWU2ODEzOTkwNjU= | 6,585 | Failing bart-base slow test | {
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=================================== FAILURES ===================================
____________ BartModelIntegrationTests.test_bart_base_mask_filling _____________
[gw0] linux -- Python 3.7.6 /home/hf/actions-runner_transformers/_work/transformers/transformers/.env/bin/python
self = <tests.test_modeling_bart.Ba... | {
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https://api.github.com/repos/huggingface/transformers/issues/6584 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6584/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6584/comments | https://api.github.com/repos/huggingface/transformers/issues/6584/events | https://github.com/huggingface/transformers/issues/6584 | 681,398,847 | MDU6SXNzdWU2ODEzOTg4NDc= | 6,584 | Failing ONNX Slow Test | {
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"@sshleifer Is it still a failing test? I can have a look",
"Still failing! See https://github.com/huggingface/transformers/runs/1024137280?check_suite_focus=true",
"On it 💪 ",
"attempt at: #6716"
] | 1,597 | 1,598 | 1,598 | CONTRIBUTOR | null | ```
___________________ OnnxExportTestCase.test_quantize_pytorch ___________________
[gw0] linux -- Python 3.7.6 /home/hf/actions-runner_transformers/_work/transformers/transformers/.env/bin/python
self = <tests.test_onnx.OnnxExportTestCase testMethod=test_quantize_pytorch>
@require_torch
@slow
de... | {
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https://api.github.com/repos/huggingface/transformers/issues/6582 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6582/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6582/comments | https://api.github.com/repos/huggingface/transformers/issues/6582/events | https://github.com/huggingface/transformers/issues/6582 | 681,308,027 | MDU6SXNzdWU2ODEzMDgwMjc= | 6,582 | BatchEncoding interacts poorly with apex.amp | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n",
"Any interest in fixing this?",
"Hello! Indeed, there doesn't seem to be any type cast. Do you want to open a PR with a fix?",
"Do y... | 1,597 | 1,606 | 1,606 | CONTRIBUTOR | null | ## Environment info
- `transformers` version: 3.0.0
- Platform: Linux
- Python version: 3.6
- PyTorch version (GPU?): 1.6.0 GPU
### Who can help
tokenizers: @mfuntowicz
## Information
We are building a multi-task transformer on top of the transformers API, using Nvidia's Apex to get the best speed out of... | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n"
] | 1,597 | 1,603 | 1,603 | 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: 3.0.2
- Platform: Linux-4.19.76-linuxkit-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.6.9
- PyTo... | {
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https://api.github.com/repos/huggingface/transformers/issues/6580 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6580/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6580/comments | https://api.github.com/repos/huggingface/transformers/issues/6580/events | https://github.com/huggingface/transformers/pull/6580 | 681,183,066 | MDExOlB1bGxSZXF1ZXN0NDY5NjE0NDIw | 6,580 | [examples/text-classification] update xnli-mt url | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6580?src=pr&el=h1) Report\n> Merging [#6580](https://codecov.io/gh/huggingface/transformers/pull/6580?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/7516bcf27319a2aea9bbe927f8e4d8e501e23c99&el=desc) will **decrease... | 1,597 | 1,597 | 1,597 | MEMBER | null | This PR updates the XNLI-MT 1.0 file url, the zip at the old url is corrupted.
@sgugger | {
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https://api.github.com/repos/huggingface/transformers/issues/6579 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6579/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6579/comments | https://api.github.com/repos/huggingface/transformers/issues/6579/events | https://github.com/huggingface/transformers/pull/6579 | 681,169,081 | MDExOlB1bGxSZXF1ZXN0NDY5NjAyNjg4 | 6,579 | [Pegasus Doc] minor typo | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6579?src=pr&el=h1) Report\n> Merging [#6579](https://codecov.io/gh/huggingface/transformers/pull/6579?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/7516bcf27319a2aea9bbe927f8e4d8e501e23c99&el=desc) will **decrease... | 1,597 | 1,597 | 1,597 | MEMBER | null | Minor typo correction
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https://api.github.com/repos/huggingface/transformers/issues/6578 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6578/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6578/comments | https://api.github.com/repos/huggingface/transformers/issues/6578/events | https://github.com/huggingface/transformers/issues/6578 | 681,162,922 | MDU6SXNzdWU2ODExNjI5MjI= | 6,578 | Latest source has bug in pipelines for short inputs (regardless of padding) | {
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"Hey @jusjosgra, \r\n\r\nCan you post a complete code snippet to produce the error. I'm using `master` and running this code does not give me any errors:\r\n\r\n```python\r\nfrom transformers import pipeline\r\nqa = pipeline(\"question-answering\", model=\"bert-large-uncased-whole-word-masking-finetuned-squad\", to... | 1,597 | 1,610 | 1,610 | NONE | null | ## Environment info
- `transformers` version: 3.0.2
- Platform: Darwin-19.2.0-x86_64-i386-64bit
- Python version: 3.6.8
- PyTorch version (GPU?): 1.4.0 (False)
- Tensorflow version (GPU?): not installed (NA)
- Using GPU in script?: No
- Using distributed or parallel set-up in script?: No
### Who can help
@mf... | {
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https://api.github.com/repos/huggingface/transformers/issues/6577 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6577/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6577/comments | https://api.github.com/repos/huggingface/transformers/issues/6577/events | https://github.com/huggingface/transformers/pull/6577 | 681,146,601 | MDExOlB1bGxSZXF1ZXN0NDY5NTg0MzY2 | 6,577 | CamembertForCausalLM | {
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"@patrickvonplaten didn't add any tests since it subclasses `RobertaForCausalLM` which is already tested.",
"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6577?src=pr&el=h1) Report\n> Merging [#6577](https://codecov.io/gh/huggingface/transformers/pull/6577?src=pr&el=desc) into [master](https://... | 1,597 | 1,598 | 1,598 | MEMBER | null | This PR adds `CamembertForCausalLM` by subclassing `RobertaForCausalLM`, so that it can be used with the `EncoderDecoderModel`.
@patrickvonplaten | {
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https://api.github.com/repos/huggingface/transformers/issues/6576 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6576/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6576/comments | https://api.github.com/repos/huggingface/transformers/issues/6576/events | https://github.com/huggingface/transformers/pull/6576 | 681,135,019 | MDExOlB1bGxSZXF1ZXN0NDY5NTc0OTUx | 6,576 | Add hyperparameter search to Trainer | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6576?src=pr&el=h1) Report\n> Merging [#6576](https://codecov.io/gh/huggingface/transformers/pull/6576?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/d9cbc0350deaa7e146a8c8dbb6ad4dc9bd6afc4f?el=desc) will **decrease... | 1,597 | 1,598 | 1,598 | COLLABORATOR | null | This PR introduces an access point to easily use optuna or Ray Tune hyperparameter search with `Trainer`.
Here is an example of use on MRPC (requires nlp installed from source on branch cloudpickle):
```
from nlp import load_dataset, load_metric
from transformers import AutoModelForSequenceClassification, AutoTok... | {
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"Hi,\r\n\r\n`is_pretokenized=True` actually means that you are providing a list of **words** as strings instead of a full sentence or paragraph not sub-words. The step which is skipped in this case is the *pre* tokenization step, not the tokenization step.\r\n\r\nThis is useful for NER or token classification for i... | 1,597 | 1,598 | 1,597 | 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: current master
- Platform: MacOS
- Python version: 3.7
### Who can help
@mfuntowicz
## Informati... | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6574?src=pr&el=h1) Report\n> Merging [#6574](https://codecov.io/gh/huggingface/transformers/pull/6574?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/cfa26d2b412ac3494eef06506004ca857c115ad9&el=desc) will **decrease... | 1,597 | 1,597 | 1,597 | CONTRIBUTOR | null | {
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So I write the code of **Dataset and DataCollator for BERT NSP task**, now I try to contribute.
This is my first contribution to an open source project. If there is something wrong, please point it out... | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6571?src=pr&el=h1) Report\n> Merging [#6571](https://codecov.io/gh/huggingface/transformers/pull/6571?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/7719ecd19f63876fdc2d31699977c7ced3643417?el=desc) will **decrease... | 1,597 | 1,600 | 1,600 | COLLABORATOR | null | Hi,
the URL to the GermEval 2014 dataset was recently changed as the dataset is stored on a Google Drive now.
This PR updates the URL in main documentation and in the example shell scripts. | {
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https://api.github.com/repos/huggingface/transformers/issues/6570 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6570/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6570/comments | https://api.github.com/repos/huggingface/transformers/issues/6570/events | https://github.com/huggingface/transformers/issues/6570 | 681,014,287 | MDU6SXNzdWU2ODEwMTQyODc= | 6,570 | Can not use the convert_graph_to_onnx.py to convert the pytorch model to onnx model | {
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"same issues here. please help!",
"same issue",
"Same issue with Camembert torch model\r\n\r\npython transformers/convert_graph_to_onnx.py --model camembert-base --framework pt /tmp/camembert-base.onnx\r\n\r\n====== Converting model to ONNX ======\r\nONNX opset version set to: 11\r\nLoading pipeline (model: cam... | 1,597 | 1,626 | 1,606 | NONE | null | When I convert the pytorch model to onnx as follow:
```
import os
import torch
from pytorch_pretrained_bert import BertModel
model = BertModel.from_pretrained('bert-base-uncased')
base_path = os.path.dirname(__file__)
pt_path = os.path.join(base_path, 'bert.pt')
torch.save(model, pt_path)
```
Then I us... | {
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https://api.github.com/repos/huggingface/transformers/issues/6568 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6568/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6568/comments | https://api.github.com/repos/huggingface/transformers/issues/6568/events | https://github.com/huggingface/transformers/issues/6568 | 680,965,035 | MDU6SXNzdWU2ODA5NjUwMzU= | 6,568 | KeyError with DPR reader in Question Answering pipeline | {
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"Hi @LysandreJik and @lhoestq ,\r\nFYI, there is still this error on Transformers.\r\nHave you planned to support DPR into pipeline API?\r\n\r\nThanks",
"Thanks for reporting !\r\nThe reader is currently not configured as a model for question answering indeed, but that's definitely something we'll change.\r\nWe'l... | 1,597 | 1,606 | 1,606 | CONTRIBUTOR | null | ## Environment info
- `transformers` version: 3.0.2 (I have also tried with current `master`)
- Platform: Linux-4.19.112+-x86_64-with-Ubuntu-18.04-bionic (with Google Colab)
- Python version: 3.6.9
- PyTorch version (GPU?): 1.6.0+cu101 (False)
- Tensorflow version (GPU?): 2.3.0 (False)
- Using GPU in script?: No
... | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6567?src=pr&el=h1) Report\n> Merging [#6567](https://codecov.io/gh/huggingface/transformers/pull/6567?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/12d7624199e727f37bef7f53d527df7fabdb1fd6?el=desc) will **decrease... | 1,597 | 1,597 | 1,597 | CONTRIBUTOR | null | XLNet training fail, while using 16-bit precision, because of tensor creation with explicit usage dtype=torch.float mode in relative_positional_encodings function. | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n"
] | 1,597 | 1,603 | 1,603 | NONE | null | When I convert the pytorch pretrained bert model to onnx model as follows:
```
import os
import torch
from pytorch_pretrained_bert import BertTokenizer, BertModel
model = BertModel.from_pretrained('bert-base-uncased')
input_1 = torch.LongTensor(1, 14)
input_2 = torch.LongTensor(1, 14)
input_3 = torch.Lon... | {
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https://api.github.com/repos/huggingface/transformers/issues/6565 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6565/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6565/comments | https://api.github.com/repos/huggingface/transformers/issues/6565/events | https://github.com/huggingface/transformers/issues/6565 | 680,844,942 | MDU6SXNzdWU2ODA4NDQ5NDI= | 6,565 | New Feature: Best-First Beam Search | {
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"The first step would be refactoring our current implementation with the priority queue. I am on it.",
"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n"
] | 1,597 | 1,603 | 1,603 | CONTRIBUTOR | null | # 🚀 Feature request
<!-- A clear and concise description of the feature proposal.
Please provide a link to the paper and code in case they exist. -->
Best-First Beam Search is a faster beam search algorithm for decoding.
https://arxiv.org/abs/2007.03909 (By Clara Meister, Tim Vieira, Ryan Cotterell)
##... | {
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"Also pinging @LysandreJik for notification in case this is easy to implement",
"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n",
"Keep it a live :)",
"That's an important feature in... | 1,597 | 1,619 | 1,619 | CONTRIBUTOR | null | # 🚀 Feature request
Currently, only Bert supports gradient checkpointing which allow the model to be fine-tuned on GPUs with small memory.
It will be great to make T5 also support gradient checkpointing.
Code:
https://github.com/huggingface/transformers/blob/0735def8e1200ed45a2c33a075bc1595b12ef56a/src/transfo... | {
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https://api.github.com/repos/huggingface/transformers/issues/6563 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6563/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6563/comments | https://api.github.com/repos/huggingface/transformers/issues/6563/events | https://github.com/huggingface/transformers/issues/6563 | 680,781,148 | MDU6SXNzdWU2ODA3ODExNDg= | 6,563 | Pretokenized text handling mistake in tokenization_utils.py file | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n"
] | 1,597 | 1,603 | 1,603 | NONE | null | Hi,
I'm wondering if this is a mistake that in the `tokenization_utils.py` file, the pretokenized text will be further tokenized, while the raw text would not. The code is as follows:
```
if is_pretokenized:
tokens = list(itertools.chain(*(self.tokenize(t, is_pretokenized=True, **kwargs) for t in text)))
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https://api.github.com/repos/huggingface/transformers/issues/6562 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6562/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6562/comments | https://api.github.com/repos/huggingface/transformers/issues/6562/events | https://github.com/huggingface/transformers/issues/6562 | 680,761,419 | MDU6SXNzdWU2ODA3NjE0MTk= | 6,562 | [Urgent] Word embedding initialization documentation and code might mismatch | {
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"the new embeddings are initialized with N(0, 0.02) by default\r\n\r\nin `_get_resized_embeddings`\r\nhttps://github.com/huggingface/transformers/blob/9c2b2db2cdf0af968aae58d6075b6654224fb760/src/transformers/modeling_utils.py#L650-L651\r\n\r\ncalling `_init_weights`\r\nhttps://github.com/huggingface/transformers/b... | 1,597 | 1,608 | 1,608 | 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! -->
https://huggingface.co/transformers/main_classes/model.html
```resize_token_embeddings``` this documentation says it returns ```torch.nn... | {
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https://api.github.com/repos/huggingface/transformers/issues/6561 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6561/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6561/comments | https://api.github.com/repos/huggingface/transformers/issues/6561/events | https://github.com/huggingface/transformers/issues/6561 | 680,761,019 | MDU6SXNzdWU2ODA3NjEwMTk= | 6,561 | Create my own language model | {
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"For open-ended questions like this you should try https://discuss.huggingface.co\r\n\r\nDid you read https://huggingface.co/blog/how-to-train?",
"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contribut... | 1,597 | 1,603 | 1,603 | NONE | null | I'm new in NLP and i want to give BERT a try. I have a wikipedia corpus (in Indonesian language of course, and in .txt format) and want to train it with bert multilingual cased.
For further use, i expect that BERT can "adapt" well with indonesian language and can do specific task which is a text similarity task, or if... | {
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https://api.github.com/repos/huggingface/transformers/issues/6560 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6560/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6560/comments | https://api.github.com/repos/huggingface/transformers/issues/6560/events | https://github.com/huggingface/transformers/issues/6560 | 680,756,460 | MDU6SXNzdWU2ODA3NTY0NjA= | 6,560 | Huggingface create_optimizer method not working | {
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"It seems that keras is passing `experimental_aggregate_gradients` to `apply_gradients`, but the *transformers* TF2 optimizer does not have this argument (see https://github.com/huggingface/transformers/blob/master/src/transformers/optimization_tf.py#L224).\r\n\r\nOne workaround right now is to set `optimizer._HAS_... | 1,597 | 1,598 | 1,598 | NONE | null | ## Environment info
- `transformers` version: 3.0.2
- Platform: Windows-10-10.0.18362-SP0
- Python version: 3.6.6
- PyTorch version (GPU?): 1.5.0+cpu (False)
- Tensorflow version (GPU?): 2.2.0 (False)
- Using GPU in script?: No
- Using distributed or parallel set-up in script?: No
### Who can help
@sg... | {
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https://api.github.com/repos/huggingface/transformers/issues/6559 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6559/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6559/comments | https://api.github.com/repos/huggingface/transformers/issues/6559/events | https://github.com/huggingface/transformers/issues/6559 | 680,737,640 | MDU6SXNzdWU2ODA3Mzc2NDA= | 6,559 | Finetuning GPT2 produces IndexError: index out of range in self error | {
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"looks similar to #6192",
"Hey @aclifton314, \r\n\r\nCould you post a complete code example here so that we can reproduce the error?",
"@patil-suraj thanks for your reply. I checked the vocab and input embed size and they are the same:\r\n```python\r\nmodel.transformer.wte.weight.shape[0] = 50257\r\nlen(model.t... | 1,597 | 1,604 | 1,604 | NONE | null | ## System Info
Pop!_OS 20.04
Pytorch: 1.5.1
Transformers: 3.0.2
Tokenizers: 0.8.1rc1
Python: 3.7.6
Pretrained Model: GPT2
Pretrained Tokenizer: GPT2
## Question
I am finetuning the pretrained GPT2 model on my dataset, using a custom defined loss function. I am getting this error below, but don't really have ... | {
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https://api.github.com/repos/huggingface/transformers/issues/6558 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6558/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6558/comments | https://api.github.com/repos/huggingface/transformers/issues/6558/events | https://github.com/huggingface/transformers/issues/6558 | 680,734,883 | MDU6SXNzdWU2ODA3MzQ4ODM= | 6,558 | Can we resize embedding with embedding weighted initialized differently?? | {
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"One way is to use `config.initializer_range`\r\n\r\n#6562",
"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n"
] | 1,597 | 1,608 | 1,608 | NONE | null | # ❓ Questions & Help
When we add new tokens, this method automatically adds embedding using torch nn.Embedding.
https://huggingface.co/transformers/_modules/transformers/modeling_utils.html#PreTrainedModel.resize_token_embeddings
The documentation says the resized embeddings are nn. Embedding, which said they... | {
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https://api.github.com/repos/huggingface/transformers/issues/6557 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6557/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6557/comments | https://api.github.com/repos/huggingface/transformers/issues/6557/events | https://github.com/huggingface/transformers/pull/6557 | 680,728,175 | MDExOlB1bGxSZXF1ZXN0NDY5MjMyODc2 | 6,557 | Create README.md | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6557?src=pr&el=h1) Report\n> Merging [#6557](https://codecov.io/gh/huggingface/transformers/pull/6557?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/12d7624199e727f37bef7f53d527df7fabdb1fd6&el=desc) will **increase... | 1,597 | 1,597 | 1,597 | CONTRIBUTOR | null | Good morning, @julien-c ! Have a nice day! =) | {
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https://api.github.com/repos/huggingface/transformers/issues/6556 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6556/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6556/comments | https://api.github.com/repos/huggingface/transformers/issues/6556/events | https://github.com/huggingface/transformers/pull/6556 | 680,724,178 | MDExOlB1bGxSZXF1ZXN0NDY5MjI5NjA1 | 6,556 | Create README.md | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6556?src=pr&el=h1) Report\n> Merging [#6556](https://codecov.io/gh/huggingface/transformers/pull/6556?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/12d7624199e727f37bef7f53d527df7fabdb1fd6&el=desc) will **decrease... | 1,597 | 1,597 | 1,597 | CONTRIBUTOR | null | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6555?src=pr&el=h1) Report\n> Merging [#6555](https://codecov.io/gh/huggingface/transformers/pull/6555?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/12d7624199e727f37bef7f53d527df7fabdb1fd6&el=desc) will **increase... | 1,597 | 1,597 | 1,597 | CONTRIBUTOR | null | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n"
] | 1,597 | 1,603 | 1,603 | NONE | null | ## Environment info
- `transformers` version: 3.0.2
- Platform: Windows-10-10.0.17763-SP0
- Python version: 3.6.8
- PyTorch version (GPU?): 1.6.0 (True)
- Tensorflow version (GPU?): not installed (NA)
- Using GPU in script?: Yes
- Using distributed or parallel set-up in script?: NA
### Who can help
@m... | {
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"Great, thanks for diving into it @stas00!",
"Alas, it solved only part of the problem - the main issue is still there https://github.com/huggingface/transformers/pull/6553 :("
] | 1,597 | 1,598 | 1,597 | CONTRIBUTOR | null | As discussed at https://github.com/huggingface/transformers/issues/6317 codecov currently sends an invalid report when it fails to find a code coverage report for the base it checks against. When this happens it goes looking for the nearest hash with report, which often leads to a report that is not representative of t... | {
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"```\r\n---\r\nlanguage:\r\n- en\r\n- ro\r\n---\r\n```\r\n\r\nno?",
"I didn't know you can have two! Will inference api still populate the text box with \"My name is wolfgang\"?",
"Yes it will use the first one to populate the widget if there are several",
"Done: new config/moon-landing bug\r\n\r\n![image](ht... | 1,597 | 1,597 | 1,597 | CONTRIBUTOR | null | Suggested content:
___
tags:
- translation
language: en
___
link to fairseq readme
link to docs. | {
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"I am facing issue with :\r\n/usr/local/lib/python3.6/dist-packages/transformers/trainer_tf.py in __init__(self, model, args, train_dataset, eval_dataset, compute_metrics, prediction_loss_only, tb_writer, optimizers)\r\n 87 self.tb_writer = tb_writer\r\n 88 else:\r\n---> 89 s... | 1,597 | 1,651 | 1,604 | CONTRIBUTOR | null | Is there an example that uses TFTrainer to fine-tune a model with more than one input type? Encountering some difficulty in figuring out how TFTrainer wants the tensorflow dataset structured. It doesn't seem to like one constructed from conventional numpy slices, e.g. `train_dataset = tf.data.Dataset.from_tensor_slices... | {
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https://api.github.com/repos/huggingface/transformers/issues/6550 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6550/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6550/comments | https://api.github.com/repos/huggingface/transformers/issues/6550/events | https://github.com/huggingface/transformers/issues/6550 | 680,584,024 | MDU6SXNzdWU2ODA1ODQwMjQ= | 6,550 | 504 Gateway Time-out when trying to access Uploaded Model page | {
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"cc @julien-c I'm also experiencing this.",
"Yes, the reason is that your model card's metadata is not valid YAML.\r\n\r\nI had fixed it on S3 but you overrode it with the previous version – this is a known limitation of our model card system right now and why:\r\n- we recommend submitting the model cards to this... | 1,597 | 1,598 | 1,598 | NONE | null | # ❓ Questions & Help
<!-- The GitHub issue tracker is primarly intended for bugs, feature requests,
new models and benchmarks, and migration questions. For all other questions,
we direct you to the Hugging Face forum: https://discuss.huggingface.co/ .
You can also try Stack Overflow (SO) where a wh... | {
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https://api.github.com/repos/huggingface/transformers/issues/6549 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6549/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6549/comments | https://api.github.com/repos/huggingface/transformers/issues/6549/events | https://github.com/huggingface/transformers/pull/6549 | 680,576,421 | MDExOlB1bGxSZXF1ZXN0NDY5MTEwMTg4 | 6,549 | fixed fast tokenizer use in QA pipeline and added corresponding test | {
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"The failed test seems to be failing for merged PRs too. I'll fix up the formatting with black"
] | 1,597 | 1,597 | 1,597 | CONTRIBUTOR | null | This PR fixes https://github.com/huggingface/transformers/issues/6545
The problem is that the behavior of the python tokenizer and the rust based fast tokenizer is very different.
The python tokenizer handles cases where inputs are in different formats (str tokens and int tokens and vice versa), where as the fast t... | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n"
] | 1,597 | 1,603 | 1,603 | NONE | null | # ❓ Questions & Help
Is it possible to just reduce the size of a large model to by removing weights and preserving others.
For example we can apply this concept to different dimensions
Depth: Layer dropping this is well known an have been shown to work with huggingface repo.
Width: For scenarios where we need sma... | {
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https://api.github.com/repos/huggingface/transformers/issues/6547 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6547/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6547/comments | https://api.github.com/repos/huggingface/transformers/issues/6547/events | https://github.com/huggingface/transformers/pull/6547 | 680,536,184 | MDExOlB1bGxSZXF1ZXN0NDY5MDc2MzQ5 | 6,547 | There is an error in the run_tf_ner.py script with the get_labels fun… | {
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"Thanks for the PR.\r\n\r\nThe issue with the `get_labels` has been fixed in a previous PR. Can you rebase on master and remove the `get_labels` part? We will keep the TPU fix :)",
"Closing as already implemented. Thanks a lot for your contribution @RodSernaPerez, looking forward to the next one!"
] | 1,597 | 1,599 | 1,599 | NONE | null | There is an error in the run_tf_ner.py scripts with the get_labels function (does not exist). It does not work with TPU. Both problems are fixed. | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6546?src=pr&el=h1) Report\n> Merging [#6546](https://codecov.io/gh/huggingface/transformers/pull/6546?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/63144701ed46d6423b5968db40b6d4469d7d9b87&el=desc) will **increase... | 1,597 | 1,597 | 1,597 | CONTRIBUTOR | null | {
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https://api.github.com/repos/huggingface/transformers/issues/6545 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6545/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6545/comments | https://api.github.com/repos/huggingface/transformers/issues/6545/events | https://github.com/huggingface/transformers/issues/6545 | 680,498,895 | MDU6SXNzdWU2ODA0OTg4OTU= | 6,545 | QA pipeline fails when using fast tokenizer | {
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"I also have run into this issue. @bdalal did you find a fix? I see the above PR, but seems you closed it. ",
"The fix is not very straightforward because it seems like both the tokenizers expose vastly different APIs and support very different functionalities. You can check this in `tokenization_utils_base.py` a... | 1,597 | 1,621 | 1,604 | 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: 3.0.2
- Platform: Linux-5.3.0-1032-gcp-x86_64-with-debian-buster-sid
- Python version: 3.7.7
- PyTorch ... | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6544?src=pr&el=h1) Report\n> Merging [#6544](https://codecov.io/gh/huggingface/transformers/pull/6544?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/c9564f53433fb637cbd8eec0d902e80e30f91814&el=desc) will **decrease... | 1,597 | 1,597 | 1,597 | CONTRIBUTOR | null | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6543?src=pr&el=h1) Report\n> Merging [#6543](https://codecov.io/gh/huggingface/transformers/pull/6543?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/d0c2389f485a9defdc856871e8362add9b1377a3&el=desc) will **decrease... | 1,597 | 1,597 | 1,597 | MEMBER | null | This PR adds `prepare_seq2seq_batch` batch method for `BartTokenizerFast` as per the proposal in #6080
@sshleifer | {
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"Hello!\r\n\r\nCan you try with the https://github.com/huggingface/transformers/blob/master/examples/token-classification/run_tf_ner.py script example, with a usual CoNLL format for your dataset? Then let me know if you still get this issue. Thanks!!",
"This issue has been automatically marked as stale because it... | 1,597 | 1,604 | 1,604 | 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: 3.0.2
- Platform: Linux Ubuntu 16.04
- Python version: 3.6.9
- PyTorch version (GPU?): /
- Tensorflow ... | {
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"Failure is not linked to the PR. Thanks for replacing these!"
] | 1,597 | 1,597 | 1,597 | CONTRIBUTOR | null | Apply the suggested https://github.com/huggingface/transformers/pull/6509#issuecomment-674960166 correction - I fixed it for other links too. | {
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https://api.github.com/repos/huggingface/transformers/issues/6540 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6540/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6540/comments | https://api.github.com/repos/huggingface/transformers/issues/6540/events | https://github.com/huggingface/transformers/issues/6540 | 680,347,583 | MDU6SXNzdWU2ODAzNDc1ODM= | 6,540 | bart-base config.*attention_heads (should be 12 was 16) | {
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"thx!",
"Should it be 12?",
"yes",
"Fixed, great catch, sorry for the annoyance.",
"cc @VictorSanh if you are still using."
] | 1,597 | 1,597 | 1,597 | CONTRIBUTOR | null | [Bart-base configuration](https://s3.amazonaws.com/models.huggingface.co/bert/facebook/bart-base/config.json) has the wrong values for `decoder_attention_heads` and `encoder_attention_heads`. This messes up the self-attention computation and make model totally unusable.
### Who can help
@sshleifer
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https://api.github.com/repos/huggingface/transformers/issues/6539 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6539/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6539/comments | https://api.github.com/repos/huggingface/transformers/issues/6539/events | https://github.com/huggingface/transformers/issues/6539 | 680,337,014 | MDU6SXNzdWU2ODAzMzcwMTQ= | 6,539 | Widget can't load model | {
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"@julien-c @mfuntowicz Any idea of what is going wrong?\r\nI'm just wondering if it's anything from my side.",
"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n"
] | 1,597 | 1,603 | 1,603 | 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: 3.0.2
- Platform: Linux-5.4.0-42-generic-x86_64-with-glibc2.27
- Python version: 3.8.2
- PyTorch versio... | {
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https://api.github.com/repos/huggingface/transformers/issues/6538 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6538/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6538/comments | https://api.github.com/repos/huggingface/transformers/issues/6538/events | https://github.com/huggingface/transformers/pull/6538 | 680,248,516 | MDExOlB1bGxSZXF1ZXN0NDY4ODQyNjcz | 6,538 | [EncoderDecoder] Add functionality to tie encoder decoder weights | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6538?src=pr&el=h1) Report\n> Merging [#6538](https://codecov.io/gh/huggingface/transformers/pull/6538?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/37709b59099bd984858ca1884c6c70403420347d&el=desc) will **increase... | 1,597 | 1,597 | 1,597 | MEMBER | null | This PR adds the functionality to tie encoder / decoder weights for encoder decoder models, by adding a new configuration parameters flag:
`tie_encoder_decoder`
to the config.
If this parameter is set to `True` and the model is an `encoder_decoder` model, then all weights of the encoder layer are set to their resp... | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n"
] | 1,597 | 1,603 | 1,603 | NONE | null | Hello
I am using jupyter notebook and installed tranformers with:
`!{sys.executable} -m pip install transformers
`
I have MacOS 10.13
When trying to import the tranformers:
`from transformers import BertTokenizer, BertModel
`
I get the error:
```
ImportError: dlopen(/Users/user1/anaconda3/lib/python3.6/site-... | {
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https://api.github.com/repos/huggingface/transformers/issues/6536 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6536/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6536/comments | https://api.github.com/repos/huggingface/transformers/issues/6536/events | https://github.com/huggingface/transformers/pull/6536 | 680,168,277 | MDExOlB1bGxSZXF1ZXN0NDY4Nzc2MzQx | 6,536 | [model_cards] Add model cards for Urduhack model (roberta-urdu-small) | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6536?src=pr&el=h1) Report\n> Merging [#6536](https://codecov.io/gh/huggingface/transformers/pull/6536?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/37709b59099bd984858ca1884c6c70403420347d&el=desc) will **decrease... | 1,597 | 1,597 | 1,597 | CONTRIBUTOR | null |
Model card added for roberta-urdu-small. | {
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https://api.github.com/repos/huggingface/transformers/issues/6535 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6535/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6535/comments | https://api.github.com/repos/huggingface/transformers/issues/6535/events | https://github.com/huggingface/transformers/issues/6535 | 680,143,835 | MDU6SXNzdWU2ODAxNDM4MzU= | 6,535 | Passing inputs_embeds into GenerationMixin.generate() | {
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"Hey @ymfa, \r\n\r\nthanks for the feature request :-) I'll put it on the To-Do list. Not sure how soon we will work on this though. If you have a good idea of how to design this new feature, feel free to open a PR :-) ",
"This issue has been automatically marked as stale because it has not had recent activity. I... | 1,597 | 1,701 | 1,675 | CONTRIBUTOR | null | # 🚀 Feature request
Currently `GenerationMixin.generate()` only accepts `input_ids` but not `inputs_embeds`. Therefore this method is not usable when custom input embeddings are required. In contrast, many models do accept `inputs_embeds` as input. Additionally, for models that have both an encoder and a decoder, i... | {
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https://api.github.com/repos/huggingface/transformers/issues/6534 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6534/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6534/comments | https://api.github.com/repos/huggingface/transformers/issues/6534/events | https://github.com/huggingface/transformers/issues/6534 | 680,127,756 | MDU6SXNzdWU2ODAxMjc3NTY= | 6,534 | How to fine-tune GPT2 on Arithmetic Problem | {
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"Hey @KYRIEZX, \r\n\r\nwe are trying to move \"non-bug\" questions to our forum - would you mind posting the question there again: https://discuss.huggingface.co/ ? Thanks :-) "
] | 1,597 | 1,597 | 1,597 | NONE | null | # # I want to use the GPT2 to solve simple Arithmetic Problem, how should I make the dataset?
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https://api.github.com/repos/huggingface/transformers/issues/6533 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6533/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6533/comments | https://api.github.com/repos/huggingface/transformers/issues/6533/events | https://github.com/huggingface/transformers/pull/6533 | 680,123,846 | MDExOlB1bGxSZXF1ZXN0NDY4NzQwMzI5 | 6,533 | [Docs Pegasus] Correct Pegasus Link in doc | {
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"thx!"
] | 1,597 | 1,597 | 1,597 | MEMBER | null | @sshleifer - Link to Bart paper was accidentally used. Correcting it here. | {
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This PR replaces these deprecated methods. | {
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Use `pathlib.Path` everywhere in `_test_export()`.
Should fix #6336 and #6529 | {
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https://api.github.com/repos/huggingface/transformers/issues/6530 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6530/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6530/comments | https://api.github.com/repos/huggingface/transformers/issues/6530/events | https://github.com/huggingface/transformers/pull/6530 | 680,008,589 | MDExOlB1bGxSZXF1ZXN0NDY4NjQ1MDM4 | 6,530 | Added first model card | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6530?src=pr&el=h1) Report\n> Merging [#6530](https://codecov.io/gh/huggingface/transformers/pull/6530?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/48c6c6139fbb2881ef16ac5d8afb6287467bf66e&el=desc) will **decrease... | 1,597 | 1,597 | 1,597 | CONTRIBUTOR | null | Added a model card which lists the tags used in the model. | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6529?src=pr&el=h1) Report\n> Merging [#6529](https://codecov.io/gh/huggingface/transformers/pull/6529?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/72add6c98f2c0607f088fa0c78d40f11e2efa4c4&el=desc) will **decrease... | 1,597 | 1,597 | 1,597 | CONTRIBUTOR | null | temporary solution for #6181 | {
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https://api.github.com/repos/huggingface/transformers/issues/6528 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6528/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6528/comments | https://api.github.com/repos/huggingface/transformers/issues/6528/events | https://github.com/huggingface/transformers/pull/6528 | 679,862,307 | MDExOlB1bGxSZXF1ZXN0NDY4NTIzMTg3 | 6,528 | attempt to fix onnx test | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6528?src=pr&el=h1) Report\n> Merging [#6528](https://codecov.io/gh/huggingface/transformers/pull/6528?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/72add6c98f2c0607f088fa0c78d40f11e2efa4c4&el=desc) will **increase... | 1,597 | 1,597 | 1,597 | CONTRIBUTOR | null | {
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https://api.github.com/repos/huggingface/transformers/issues/6527 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6527/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6527/comments | https://api.github.com/repos/huggingface/transformers/issues/6527/events | https://github.com/huggingface/transformers/pull/6527 | 679,839,695 | MDExOlB1bGxSZXF1ZXN0NDY4NTA1NjE2 | 6,527 | Update bert-base-portuguese-cased and bert-large-portuguese-cased cards | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6527?src=pr&el=h1) Report\n> Merging [#6527](https://codecov.io/gh/huggingface/transformers/pull/6527?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/00bb0b25ed66a4878f2e0ffdd1ca65b7684db57e&el=desc) will **decrease... | 1,597 | 1,597 | 1,597 | CONTRIBUTOR | null | {
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https://api.github.com/repos/huggingface/transformers/issues/6526 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6526/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6526/comments | https://api.github.com/repos/huggingface/transformers/issues/6526/events | https://github.com/huggingface/transformers/pull/6526 | 679,820,006 | MDExOlB1bGxSZXF1ZXN0NDY4NDkxNzEy | 6,526 | add BartConfig.force_bos_token_to_be_generated | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6526?src=pr&el=h1) Report\n> Merging [#6526](https://codecov.io/gh/huggingface/transformers/pull/6526?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/fe61c05b85f98846779bb490a747875e7d54ec2a&el=desc) will **decrease... | 1,597 | 1,597 | 1,597 | CONTRIBUTOR | null | This PR adds a config flag that makes a generation hack from bart's `adjust_logits_during_generation`, optional. This change (setting the flag to False) improves metrics for bart-large-xsum and mbart-large-en-ro, but not bart-large-cnn (hence the need for the flag).
I remember @patrickvonplaten asked me about this i... | {
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https://api.github.com/repos/huggingface/transformers/issues/6525 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6525/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6525/comments | https://api.github.com/repos/huggingface/transformers/issues/6525/events | https://github.com/huggingface/transformers/pull/6525 | 679,819,977 | MDExOlB1bGxSZXF1ZXN0NDY4NDkxNjkw | 6,525 | [s2s] docs, document desired filenames nicely | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6525?src=pr&el=h1) Report\n> Merging [#6525](https://codecov.io/gh/huggingface/transformers/pull/6525?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/fe61c05b85f98846779bb490a747875e7d54ec2a&el=desc) will **decrease... | 1,597 | 1,597 | 1,597 | CONTRIBUTOR | null | {
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https://api.github.com/repos/huggingface/transformers/issues/6524 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6524/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6524/comments | https://api.github.com/repos/huggingface/transformers/issues/6524/events | https://github.com/huggingface/transformers/pull/6524 | 679,817,706 | MDExOlB1bGxSZXF1ZXN0NDY4NDkwMDQ0 | 6,524 | [wip] experiment with mbart special tokens | {
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https://api.github.com/repos/huggingface/transformers/issues/6523 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6523/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6523/comments | https://api.github.com/repos/huggingface/transformers/issues/6523/events | https://github.com/huggingface/transformers/pull/6523 | 679,800,676 | MDExOlB1bGxSZXF1ZXN0NDY4NDc3NzY4 | 6,523 | [testing] replace hardcoded paths to allow running tests from anywhere | {
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"CI failure is unrelated to this PR",
"so dope!"
] | 1,597 | 1,598 | 1,598 | CONTRIBUTOR | null | Currently, some tests can be run only from the root of the project, since they hardcode relative paths.
With this PR, it's now possible to run tests from the root of the project, from inside `tests`, or really anywhere.
the gist of the change:
```
- PATH_SAMPLE_TEXT = "./tests/fixtures/sample_text.txt"
+ PATH_... | {
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https://api.github.com/repos/huggingface/transformers/issues/6522 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6522/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6522/comments | https://api.github.com/repos/huggingface/transformers/issues/6522/events | https://github.com/huggingface/transformers/pull/6522 | 679,796,803 | MDExOlB1bGxSZXF1ZXN0NDY4NDc1MTA0 | 6,522 | Create model cards for indonesian models | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6522?src=pr&el=h1) Report\n> Merging [#6522](https://codecov.io/gh/huggingface/transformers/pull/6522?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/fe61c05b85f98846779bb490a747875e7d54ec2a&el=desc) will **decrease... | 1,597 | 1,597 | 1,597 | CONTRIBUTOR | null | Added model cards for indonesian gpt2-small, bert-base and roberta-base models. Thanks. | {
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