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https://api.github.com/repos/huggingface/transformers/issues/6521 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6521/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6521/comments | https://api.github.com/repos/huggingface/transformers/issues/6521/events | https://github.com/huggingface/transformers/pull/6521 | 679,793,878 | MDExOlB1bGxSZXF1ZXN0NDY4NDczMjIy | 6,521 | allow spaces in bash args with "$@" | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6521?src=pr&el=h1) Report\n> Merging [#6521](https://codecov.io/gh/huggingface/transformers/pull/6521?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/fe61c05b85f98846779bb490a747875e7d54ec2a&el=desc) will **not chan... | 1,597 | 1,597 | 1,597 | CONTRIBUTOR | null | extends the bugfix for #6477 to more scripts.
| {
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https://api.github.com/repos/huggingface/transformers/issues/6520 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6520/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6520/comments | https://api.github.com/repos/huggingface/transformers/issues/6520/events | https://github.com/huggingface/transformers/issues/6520 | 679,773,983 | MDU6SXNzdWU2Nzk3NzM5ODM= | 6,520 | Can't load pegasus models. | {
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"Not sure what you mean here. Can you please post the traceback and the code that resulted in the error ?",
"This is what I got:\r\n```\r\nKeyError Traceback (most recent call last)\r\n\r\n<ipython-input-18-eb1fb8795ed4> in <module>()\r\n 2 from transformers import AutoTokeni... | 1,597 | 1,603 | 1,603 | NONE | null | Hi,
I've tried uploading Peagsus from PreTrainedModel and PreTrainedTokenizer but run into KeyError, I have transformers 3.0.2 - any idea why that might be happening? | {
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https://api.github.com/repos/huggingface/transformers/issues/6519 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6519/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6519/comments | https://api.github.com/repos/huggingface/transformers/issues/6519/events | https://github.com/huggingface/transformers/pull/6519 | 679,764,196 | MDExOlB1bGxSZXF1ZXN0NDY4NDUxNzk0 | 6,519 | [WIP] Create SequenceClassification MultipleChoice and TokenClassification for tf_longformer | {
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"Hey @Groskilled - I added a couple of comments. Let's try to first make the torch tests pass. Let me know if you need more help after implementing the comments.",
"Closing PR due to inactivity"
] | 1,597 | 1,603 | 1,603 | NONE | null | Tests for the new classes are not passing and there is no test yet for TFLongformerClassificationHead (and I am not sure it's needed).
@patrickvonplaten
Resolves #6401 | {
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https://api.github.com/repos/huggingface/transformers/issues/6518 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6518/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6518/comments | https://api.github.com/repos/huggingface/transformers/issues/6518/events | https://github.com/huggingface/transformers/pull/6518 | 679,756,635 | MDExOlB1bGxSZXF1ZXN0NDY4NDQ2Mjk5 | 6,518 | [docs] Copy code button misses '...' prefixed code | {
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"Feels more like a false positive failure?"
] | 1,597 | 1,597 | 1,597 | CONTRIBUTOR | null | Tested in a local build of the docs.
e.g. Just above https://huggingface.co/transformers/task_summary.html#causal-language-modeling
Copy will not copy the full code, e.g.
`for token in top_5_tokens:`
Instead we should get it all:
```
for token in top_5_tokens:
print(sequence.replace(tokenizer.mask... | {
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https://api.github.com/repos/huggingface/transformers/issues/6517 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6517/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6517/comments | https://api.github.com/repos/huggingface/transformers/issues/6517/events | https://github.com/huggingface/transformers/issues/6517 | 679,744,195 | MDU6SXNzdWU2Nzk3NDQxOTU= | 6,517 | Can't load t5-11b from pre-trained | {
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"Hey @saareliad, \r\ncan you try:\r\n```python\r\nt5 = transformers.T5ForConditionalGeneration.from_pretrained('t5-11b', use_cdn = False)\r\n```\r\n\r\nAlso, see: https://github.com/huggingface/transformers/issues/5423\r\n\r\nBut the model cannot really be run before we take a closer look at: https://github.com/hug... | 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:
- Python version: 3.8.2
- PyTorch version 1.6
### Who can help
T5: @patrickv... | {
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https://api.github.com/repos/huggingface/transformers/issues/6516 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6516/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6516/comments | https://api.github.com/repos/huggingface/transformers/issues/6516/events | https://github.com/huggingface/transformers/issues/6516 | 679,741,986 | MDU6SXNzdWU2Nzk3NDE5ODY= | 6,516 | How to enable sampling when using unigram tokenizers? | {
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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
## Details
It is mentioned on [Tokenizer summary][1] that when using unigram tokenizers, "you could sample one of the tokenization according to their probabilities". It however did not detail how to do so.
Looking at the source-code, all of `AlbertTokenizer`, `T5Tokenizer` and `XLNetTokenize... | {
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https://api.github.com/repos/huggingface/transformers/issues/6515 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6515/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6515/comments | https://api.github.com/repos/huggingface/transformers/issues/6515/events | https://github.com/huggingface/transformers/pull/6515 | 679,713,282 | MDExOlB1bGxSZXF1ZXN0NDY4NDE1MDYy | 6,515 | Support additional dictionaries for BERT Japanese tokenizers | {
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"Thank you, @JetRunner and @polm.\r\n\r\nI've fixed the test-related issues and it should be OK now."
] | 1,597 | 1,599 | 1,597 | CONTRIBUTOR | null | This PR is to support additional dictionaries for BERT Japanese tokenizers.
Specifically, we add support for `unidic_lite` and `unidic` dictionaries.
Both dictionaries are pip-installable like `ipadic` and compatible with the `fugashi` package introduced in #6086 by @polm.
(We are going to release newly pre-trai... | {
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https://api.github.com/repos/huggingface/transformers/issues/6514 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6514/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6514/comments | https://api.github.com/repos/huggingface/transformers/issues/6514/events | https://github.com/huggingface/transformers/issues/6514 | 679,706,279 | MDU6SXNzdWU2Nzk3MDYyNzk= | 6,514 | Unexpected output(prediction) for TokenClassification, using pipeline | {
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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 | I trained the language model from scratch on my language. fine-tuned it but while predicting the results using "pipeline" but, i am not getting a proper tag for each token. it looks like it is not tokenizing the words properly and giving results on subword tokens, i also tried grouped_entities=True, but not working,
m... | {
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https://api.github.com/repos/huggingface/transformers/issues/6513 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6513/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6513/comments | https://api.github.com/repos/huggingface/transformers/issues/6513/events | https://github.com/huggingface/transformers/issues/6513 | 679,703,746 | MDU6SXNzdWU2Nzk3MDM3NDY= | 6,513 | Longformer pretrained weights are not really pretrained? | {
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"Hey @dvirginz,\r\n\r\nCan you post a code snippet here so that we can reproduce your results or at least see what might have been falsely configured?",
"@patrickvonplaten Hi!\r\nI'm sorry to have troubled you, the problem was with how I initialized and loaded the weights for the model.\r\nIt is now working, Than... | 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:Ubuntu 18.04
- Python version:3.7
- PyTorch version (GPU?):1.6 Yes
- Using GPU in scri... | {
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https://api.github.com/repos/huggingface/transformers/issues/6512 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6512/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6512/comments | https://api.github.com/repos/huggingface/transformers/issues/6512/events | https://github.com/huggingface/transformers/pull/6512 | 679,691,064 | MDExOlB1bGxSZXF1ZXN0NDY4Mzk4OTM3 | 6,512 | [doc] lighter 'make test' | {
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And, if you're open to `make test-light` or something like that, it would be most welcome. I tested that ... | {
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https://api.github.com/repos/huggingface/transformers/issues/6511 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6511/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6511/comments | https://api.github.com/repos/huggingface/transformers/issues/6511/events | https://github.com/huggingface/transformers/pull/6511 | 679,688,485 | MDExOlB1bGxSZXF1ZXN0NDY4Mzk2OTkw | 6,511 | [doc] Summary of the models fixes | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6511?src=pr&el=h1) Report\n> Merging [#6511](https://codecov.io/gh/huggingface/transformers/pull/6511?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/d9cbc0350deaa7e146a8c8dbb6ad4dc9bd6afc4f&el=desc) will **decrease... | 1,597 | 1,597 | 1,597 | CONTRIBUTOR | null | * improve readability - typos, punctuation, clearer sentences
2 questions:
1. https://huggingface.co/transformers/model_summary.html#t5
I think the example is incorrect in the target part of the example. I think it's missing "cute".
Before:
> For instance, if we have the sentence “My dog is very cute .”... | {
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https://api.github.com/repos/huggingface/transformers/issues/6510 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6510/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6510/comments | https://api.github.com/repos/huggingface/transformers/issues/6510/events | https://github.com/huggingface/transformers/pull/6510 | 679,677,140 | MDExOlB1bGxSZXF1ZXN0NDY4Mzg5MDIy | 6,510 | new Makefile target: docs | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6510?src=pr&el=h1) Report\n> Merging [#6510](https://codecov.io/gh/huggingface/transformers/pull/6510?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/84d33317aec4e07ff2bc60721c81c9d519cefd3a&el=desc) will **increase... | 1,597 | 1,598 | 1,598 | CONTRIBUTOR | null | - add a new "docs" target to validate docs and document it
this is needed to avoid `build_doc` CI failures when editing docs
not sure why gh reports whitespace differences - odd. | {
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https://api.github.com/repos/huggingface/transformers/issues/6509 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6509/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6509/comments | https://api.github.com/repos/huggingface/transformers/issues/6509/events | https://github.com/huggingface/transformers/pull/6509 | 679,675,675 | MDExOlB1bGxSZXF1ZXN0NDY4Mzg3OTc1 | 6,509 | [doc] multiple corrections to "Summary of the tasks" | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6509?src=pr&el=h1) Report\n> Merging [#6509](https://codecov.io/gh/huggingface/transformers/pull/6509?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/d9cbc0350deaa7e146a8c8dbb6ad4dc9bd6afc4f&el=desc) will **decrease... | 1,597 | 1,597 | 1,597 | CONTRIBUTOR | null | - improve readability - typos, punctuation, clearer sentences, numerical bullets where needed
- fix incorrect script names
- add missing scripts and add hyper links where missing
- a minor code improvement to improve understanding at the very last section (replaced output ids with translated text)
One thing I did... | {
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https://api.github.com/repos/huggingface/transformers/issues/6508 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6508/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6508/comments | https://api.github.com/repos/huggingface/transformers/issues/6508/events | https://github.com/huggingface/transformers/pull/6508 | 679,651,488 | MDExOlB1bGxSZXF1ZXN0NDY4MzcxMTMy | 6,508 | [doc] make the text more readable, fix some typos, add some disambiguation | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6508?src=pr&el=h1) Report\n> Merging [#6508](https://codecov.io/gh/huggingface/transformers/pull/6508?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/d9cbc0350deaa7e146a8c8dbb6ad4dc9bd6afc4f&el=desc) will **increase... | 1,597 | 1,597 | 1,597 | CONTRIBUTOR | null | @sgugger | {
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https://api.github.com/repos/huggingface/transformers/issues/6507 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6507/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6507/comments | https://api.github.com/repos/huggingface/transformers/issues/6507/events | https://github.com/huggingface/transformers/issues/6507 | 679,638,433 | MDU6SXNzdWU2Nzk2Mzg0MzM= | 6,507 | trainer.train() fails on 'fmikaelian/flaubert-base-uncased-squad' fine-tuning SQuAD | {
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"I don't see how you preprocessed your dataset. From the code you pasted, there is no point where you actually tokenize the elements of `french_squad_train` and `french_squad_dev` (assuming `load_dataset` comes from the nlp library?)",
"This issue has been automatically marked as stale because it has not had rec... | 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: Windows 10 Home v2004, Conda 4.8.3, Anaconda CLI 1.7.2
Python version: 3.7.1
... | {
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https://api.github.com/repos/huggingface/transformers/issues/6506 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6506/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6506/comments | https://api.github.com/repos/huggingface/transformers/issues/6506/events | https://github.com/huggingface/transformers/issues/6506 | 679,637,520 | MDU6SXNzdWU2Nzk2Mzc1MjA= | 6,506 | Loading 'fmikaelian/flaubert-base-uncased-squad' throws unexpected, difficult to comprehend warning | {
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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 | CONTRIBUTOR | null | ## Environment info
- `transformers` version: 3.0.2
- Platform: Windows 10 Home v2004, Conda 4.8.3, Anaconda CLI 1.7.2
- Python version: 3.7.1
- PyTorch version (GPU?): 1.6.0 CUDA GPU
- Tensorflow version (GPU?): none
- Using GPU in script?: torch.set_default_tensor_type('torch.cuda.FloatTensor')
- Using ... | {
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https://api.github.com/repos/huggingface/transformers/issues/6505 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6505/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6505/comments | https://api.github.com/repos/huggingface/transformers/issues/6505/events | https://github.com/huggingface/transformers/pull/6505 | 679,631,406 | MDExOlB1bGxSZXF1ZXN0NDY4MzU3NTk1 | 6,505 | [doc] typos | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6505?src=pr&el=h1) Report\n> Merging [#6505](https://codecov.io/gh/huggingface/transformers/pull/6505?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/895ed8f4511ce9f2d1475e7f11c776dab87461d1&el=desc) will **decrease... | 1,597 | 1,597 | 1,597 | CONTRIBUTOR | null | @sgugger | {
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https://api.github.com/repos/huggingface/transformers/issues/6504 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6504/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6504/comments | https://api.github.com/repos/huggingface/transformers/issues/6504/events | https://github.com/huggingface/transformers/pull/6504 | 679,630,533 | MDExOlB1bGxSZXF1ZXN0NDY4MzU2OTc0 | 6,504 | [doc] fix invalid env vars | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6504?src=pr&el=h1) Report\n> Merging [#6504](https://codecov.io/gh/huggingface/transformers/pull/6504?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/895ed8f4511ce9f2d1475e7f11c776dab87461d1&el=desc) will **decrease... | 1,597 | 1,597 | 1,597 | CONTRIBUTOR | null | - remove invalid `ENV_` prefix.
- add a few `:` while at it
@sgugger | {
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https://api.github.com/repos/huggingface/transformers/issues/6503 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6503/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6503/comments | https://api.github.com/repos/huggingface/transformers/issues/6503/events | https://github.com/huggingface/transformers/issues/6503 | 679,613,314 | MDU6SXNzdWU2Nzk2MTMzMTQ= | 6,503 | tf BERT model produced by convert_graph_to_onnx has unclear or wrong input shapes | {
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"it works when I use \"this is a test.\" as the input text because it results in 7 tokens. \r\nnow the question is why the model expects a fixed number, which is 7, of tokens as input? ",
"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further ac... | 1,597 | 1,607 | 1,604 | NONE | null | I tried to create a minimal notebook to reproduce [this example nb](https://github.com/huggingface/transformers/blob/master/notebooks/04-onnx-export.ipynb), but for TF.
when I run
```python
convert(framework="tf", model="bert-base-cased", output="onnx-test-tf/bert-base-cased.onnx", opset=11)
```
the output is
... | {
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https://api.github.com/repos/huggingface/transformers/issues/6502 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6502/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6502/comments | https://api.github.com/repos/huggingface/transformers/issues/6502/events | https://github.com/huggingface/transformers/issues/6502 | 679,602,939 | MDU6SXNzdWU2Nzk2MDI5Mzk= | 6,502 | Truncated last sentence after bart finetuning on custom dataset. | {
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"What was your training command?\r\n",
"I used the `finetune_tiny_bart.sh` script in the seq2seq examples. @sshleifer \r\n\r\nIf that helps to figure out the source of the problem, as I know the position_embeddings of bart-large-cnn model is 1026 (with addition of SOS, and EOS tokens). Since my task is long summa... | 1,597 | 1,607 | 1,607 | NONE | null |
- `transformers` version: 3.0.2
- Platform:
- Python version: 3.6
- PyTorch version (GPU?): 1.4
- Using GPU in script?: Yes
- Using distributed or parallel set-up in script?: Single GPU
### Who can help
@sshleifer
## Information
Model I am using (Bert, XLNet ...): BART
The problem arises when usi... | {
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https://api.github.com/repos/huggingface/transformers/issues/6501 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6501/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6501/comments | https://api.github.com/repos/huggingface/transformers/issues/6501/events | https://github.com/huggingface/transformers/issues/6501 | 679,588,124 | MDU6SXNzdWU2Nzk1ODgxMjQ= | 6,501 | Longformer slow than Bert | {
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"well BERT can only generate up to 512 tokens and both models are Autoencoding models and usually not used for causal language generation (Autoregressive models are used for this). You can check out the difference here: https://huggingface.co/transformers/model_summary.html."
] | 1,597 | 1,597 | 1,597 | NONE | null | When i set max_length = 2048, i found Longformer's speed is slower than commen bert, why? | {
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https://api.github.com/repos/huggingface/transformers/issues/6500 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6500/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6500/comments | https://api.github.com/repos/huggingface/transformers/issues/6500/events | https://github.com/huggingface/transformers/issues/6500 | 679,554,882 | MDU6SXNzdWU2Nzk1NTQ4ODI= | 6,500 | Always got RuntimeError while converting ALBERT model to TorchScript (.pt file) | {
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The code I ran (following the tutorial from [https://huggingface.co/transformers/torchscript.html](https://huggingface.co/transformers/torchscript.h... | {
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https://api.github.com/repos/huggingface/transformers/issues/6499 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6499/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6499/comments | https://api.github.com/repos/huggingface/transformers/issues/6499/events | https://github.com/huggingface/transformers/pull/6499 | 679,552,055 | MDExOlB1bGxSZXF1ZXN0NDY4Mjk3NzE1 | 6,499 | Add examples/bert-loses-patience who can help | {
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"Sorry for the format of the two codes. I have modified them and posted them here:\r\n\r\n1. \r\n```python\r\nfrom transformers import TFBertModel, BertConfig\r\nimport tensorflow as tf\r\ndef single_bert():\r\n id = Input((128,), dtype=tf.int32)\r\n mask = Input((128,), dtype=tf.int32)\r\n atn = Input((12... | 1,597 | 1,604 | 1,604 | NONE | null | ## Environment info
- `transformers` version: 3.0.2
- Platform: Linux-4.19.112+-x86_64-with-Ubuntu-18.04-bionic (on Google Colab)
- Python version: 3.6.9
- PyTorch version (GPU?): 1.6.0+cu101 (True)
- Tensorflow version (GPU?): 2.3.0 (True)
- Using GPU in script?: Yes
- Using distributed or parallel set-u... | {
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https://api.github.com/repos/huggingface/transformers/issues/6497 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6497/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6497/comments | https://api.github.com/repos/huggingface/transformers/issues/6497/events | https://github.com/huggingface/transformers/issues/6497 | 679,512,068 | MDU6SXNzdWU2Nzk1MTIwNjg= | 6,497 | BERT and SpanBERT for Coreference Resolution | {
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"Commenting for visibility - is this available now ? can't seem to find it, would love to use this for a question-answering project i'm working on! ",
"I'd also like to see this model incorporated into the core list of supported models. I did note that you can download it from the community models here though: ht... | 1,597 | 1,608 | null | NONE | null | # 🌟 New model addition
## Model description
This is a recent approach for co-reference resolution using BERT, implemented from the papers [BERT for Coreference Resolution: Baselines and Analysis](https://arxiv.org/abs/1908.09091) and [SpanBERT: Improving Pre-training by Representing and Predicting Spans](https:/... | {
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https://api.github.com/repos/huggingface/transformers/issues/6496 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6496/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6496/comments | https://api.github.com/repos/huggingface/transformers/issues/6496/events | https://github.com/huggingface/transformers/pull/6496 | 679,504,491 | MDExOlB1bGxSZXF1ZXN0NDY4MjYzOTM3 | 6,496 | Add Model Card for electra-base-german-uncased | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6496?src=pr&el=h1) Report\n> Merging [#6496](https://codecov.io/gh/huggingface/transformers/pull/6496?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/d9cbc0350deaa7e146a8c8dbb6ad4dc9bd6afc4f&el=desc) will **increase... | 1,597 | 1,597 | 1,597 | CONTRIBUTOR | null | This adds the model card for electra-base-german-uncased.
Could you please also have a look into #6495 because something went wrong with the upload.
Thanks
Philip | {
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https://api.github.com/repos/huggingface/transformers/issues/6495 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6495/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6495/comments | https://api.github.com/repos/huggingface/transformers/issues/6495/events | https://github.com/huggingface/transformers/issues/6495 | 679,502,893 | MDU6SXNzdWU2Nzk1MDI4OTM= | 6,495 | Model Upload does not show up `german-nlp-group/electra-base-german-uncased` | {
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"The files are there: https://cdn.huggingface.co/german-nlp-group/electra-base-german-uncased/tokenizer_config.json\r\n\r\nBut it simply does not show up...",
"Maybe related to #6478",
"Having the same problem here. Uploaded a new model (`salti/xlm-roberta-large-arabic_qa`) earlier this morning and it doesn't s... | 1,597 | 1,597 | 1,597 | CONTRIBUTOR | null | Hi,
yesterday I uploaded a new model to `german-nlp-group/electra-base-german-uncased`:
```bash
$ transformers-cli s3 ls --organization german-nlp-group
Neither PyTorch nor TensorFlow >= 2.0 have been found.Models won't be available and only tokenizers, configurationand file/data utilities can be used.
Filename ... | {
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https://api.github.com/repos/huggingface/transformers/issues/6494 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6494/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6494/comments | https://api.github.com/repos/huggingface/transformers/issues/6494/events | https://github.com/huggingface/transformers/pull/6494 | 679,499,721 | MDExOlB1bGxSZXF1ZXN0NDY4MjYwMjAy | 6,494 | [testing] a new TestCasePlus subclass + get_auto_remove_tmp_dir() | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6494?src=pr&el=h1) Report\n> Merging [#6494](https://codecov.io/gh/huggingface/transformers/pull/6494?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/895ed8f4511ce9f2d1475e7f11c776dab87461d1&el=desc) will **increase... | 1,597 | 1,597 | 1,597 | CONTRIBUTOR | null | I present to you a new `TestCasePlus` class, which is an extension of `testutil.TestCase`. Currently it only has one extra feature, but I'm sure there will be more in the future, hence the more generic name.
So the intention was to provide:
- an easy way to create unique temp dirs in test modules and get them autom... | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6493?src=pr&el=h1) Report\n> Merging [#6493](https://codecov.io/gh/huggingface/transformers/pull/6493?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/895ed8f4511ce9f2d1475e7f11c776dab87461d1&el=desc) will **increase... | 1,597 | 1,597 | 1,597 | CONTRIBUTOR | null | Fixes https://github.com/huggingface/transformers/issues/6477 | {
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"Also, the CI wants you to run `make style` :)",
"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6492?src=pr&el=h1) Report\n> Merging [#6492](https://codecov.io/gh/huggingface/transformers/pull/6492?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/d9cbc0350deaa7... | 1,597 | 1,597 | 1,597 | CONTRIBUTOR | null | The STS Benchmark has decimal labels instead of integers.
But inside the `glue_convert_examples_to_features` function, when you're using TensorFlow datasets it is casting the label as an integer in the returned TF data generator.
With this simple edit, the function changes its casting datatype according to the select... | {
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"Would be a great improvement :+1: \r\n\r\nHere's btw. the commit that introduced WWM in BERT:\r\n\r\nhttps://github.com/google-research/bert/commit/0fce551b55caabcfba52c61e18f34b541aef186a",
"BERT using wordpiece tokenizer, however, roberta uses byte-piece tokenizer. I think the implementations may be slightly d... | 1,597 | 1,603 | 1,603 | NONE | null | # 🚀 Feature request
Currently, training the models from scratch like Roberta do not support whole word masking (e.g., language modeling examples). Only pre-trained models are available. Is it possible to include whole word masking in the input layers?
## Motivation
Whole word masking leads to performance boos... | {
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https://api.github.com/repos/huggingface/transformers/issues/6490 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6490/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6490/comments | https://api.github.com/repos/huggingface/transformers/issues/6490/events | https://github.com/huggingface/transformers/pull/6490 | 679,280,076 | MDExOlB1bGxSZXF1ZXN0NDY4MDgzNjAw | 6,490 | [Doc] add more MBart and other doc | {
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"@sgugger do you think it would be a good idea to add more fine-tuning info for MBart, since it requires input processed in a different way than other models as it is multilingual model ?",
"@sshleifer ,@sgugger added DPR in readme. ",
"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6490?src=... | 1,597 | 1,597 | 1,597 | MEMBER | null | This PR
1. adds example for MBart
2. adds MBart in pre_trained models list and readme (Pegasus was missing from readme, so also added that).
@sshleifer , @sgugger | {
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https://api.github.com/repos/huggingface/transformers/issues/6489 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6489/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6489/comments | https://api.github.com/repos/huggingface/transformers/issues/6489/events | https://github.com/huggingface/transformers/pull/6489 | 679,278,581 | MDExOlB1bGxSZXF1ZXN0NDY4MDgyNDU2 | 6,489 | GitHub Template: Tag @stefan-it for token classification related bug reports | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6489?src=pr&el=h1) Report\n> Merging [#6489](https://codecov.io/gh/huggingface/transformers/pull/6489?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/fe61c05b85f98846779bb490a747875e7d54ec2a&el=desc) will **decrease... | 1,597 | 1,597 | 1,597 | COLLABORATOR | null | Hi,
this PR adds myself as person to tag for all token classification related bug reports :) | {
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https://api.github.com/repos/huggingface/transformers/issues/6488 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6488/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6488/comments | https://api.github.com/repos/huggingface/transformers/issues/6488/events | https://github.com/huggingface/transformers/pull/6488 | 679,267,658 | MDExOlB1bGxSZXF1ZXN0NDY4MDczODc0 | 6,488 | Fix TPU Convergence bug introduced by PR#6151 | {
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batch: one global one, where `xm.optimizer_step` injects a CRS between
all cores in training, and one without. This has been affecting training
accuracy (for example, XLNet GLUE on MNLI is not converging, etc.). | {
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https://api.github.com/repos/huggingface/transformers/issues/6487 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6487/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6487/comments | https://api.github.com/repos/huggingface/transformers/issues/6487/events | https://github.com/huggingface/transformers/issues/6487 | 679,253,414 | MDU6SXNzdWU2NzkyNTM0MTQ= | 6,487 | about encoder and decoder input when using seq2seq model | {
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"Hi @jungwhank \r\nfor Bert2Bert, `pad_token` is used as `decoder_start_token_id` and the `input_ids` and `labels` begin with `cls_token_id` (`[CLS]` for bert ) and end with `sep_token_id` (`[SEP]` for bert).\r\n\r\nFor training all you need to do is \r\n```python3\r\ninput_text = \"some input text\"\r\ntarget_text... | 1,597 | 1,597 | 1,597 | CONTRIBUTOR | 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,
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https://api.github.com/repos/huggingface/transformers/issues/6486 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6486/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6486/comments | https://api.github.com/repos/huggingface/transformers/issues/6486/events | https://github.com/huggingface/transformers/issues/6486 | 679,154,589 | MDU6SXNzdWU2NzkxNTQ1ODk= | 6,486 | from_pretrained() never works | {
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"Hello! This is probably an error with your network. Are you behind a firewall? Does it work on any other machine on the same network?",
"Many thanks for a quick response. It is possible. It works on another machine on another network. Is there any way to debug what it tries to download and why it fails? Any idea... | 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
- Python version: 3.6
- PyTorch version (GPU?): 1.5.1 (yes)
- Tensorflow versi... | {
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https://api.github.com/repos/huggingface/transformers/issues/6485 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6485/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6485/comments | https://api.github.com/repos/huggingface/transformers/issues/6485/events | https://github.com/huggingface/transformers/pull/6485 | 679,128,141 | MDExOlB1bGxSZXF1ZXN0NDY3OTYwMDY3 | 6,485 | Add tests/test_tokenization_reformer.py | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6485?src=pr&el=h1) Report\n> Merging [#6485](https://codecov.io/gh/huggingface/transformers/pull/6485?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/9a8c168f56fe3c0e21d554a577ac03beb004ef89&el=desc) will **increase... | 1,597 | 1,608 | 1,597 | CONTRIBUTOR | null | As titled. Attends to issue [#6333](https://github.com/huggingface/transformers/issues/6333). | {
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"This may be due to an embedding dimension issue, but may also be due to a CUDA OOM error earlier that has been misreported in my experience. To verify that it is an embedding dimension issue, can you try using the `--no_cuda` flag?",
"Sure - let me give it a shot. The one issue is that the data is large so featu... | 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-3.10.0-862.14.4.el7.x86_64-x86_64-with-centos-7.5.1804-Core
- Python version: 3.... | {
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https://api.github.com/repos/huggingface/transformers/issues/6483 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6483/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6483/comments | https://api.github.com/repos/huggingface/transformers/issues/6483/events | https://github.com/huggingface/transformers/issues/6483 | 679,093,615 | MDU6SXNzdWU2NzkwOTM2MTU= | 6,483 | Regarding GPU use for LM | {
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" Hi,\r\nI am running example given in README.md of language_modeling using following command:\r\nexport TRAIN_FILE=/path/to/dataset/wiki.train.raw\r\nexport TEST_FILE=/path/to/dataset/wiki.test.raw\r\n\r\npython run_language_modeling.py \\\r\n --output_dir=output \\\r\n --model_type=gpt2 \\\r\n --model_na... | 1,597 | 1,597 | 1,597 | NONE | null | # ❓ Questions & Help
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"A question that might be of interest to @patrickvonplaten :)",
"Hey @PrudhviRaj12, \r\nmy best answer would be to try it out :-) If can definitely work if you have enough GPU RAM. \r\nMy best guess would be that in the scenario described by you above the Longformer version would require ca. `num_chunks` * `requi... | 1,597 | 1,603 | 1,603 | NONE | null | Hello,
Apologies if I am misunderstanding it, but if I use roberta with a max sequence length of 256 and I can run, for example, say, a batch size of 64 on one gpu for a task, with the longformer, can I use the same batch size with a window length of 256 with the max sequence length being 4096? | {
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"Hey @policeme, fair point they seem to be exactly the same. There is a logical difference though `TFBertOutput` is the output of a `TFBertLayer` while `TFBertSelfOutput` is the output a `TFBertAtteniton` (Self-attention -> thus \"SelfOutput\"). \r\nBut yeah this might seem a bit confusing at first."
] | 1,597 | 1,597 | 1,597 | 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,
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https://api.github.com/repos/huggingface/transformers/issues/6480 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6480/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6480/comments | https://api.github.com/repos/huggingface/transformers/issues/6480/events | https://github.com/huggingface/transformers/pull/6480 | 679,071,062 | MDExOlB1bGxSZXF1ZXN0NDY3OTEyMTgx | 6,480 | Import accuracy_score | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6480?src=pr&el=h1) Report\n> Merging [#6480](https://codecov.io/gh/huggingface/transformers/pull/6480?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/9a8c168f56fe3c0e21d554a577ac03beb004ef89&el=desc) will **decrease... | 1,597 | 1,597 | 1,597 | CONTRIBUTOR | null | {
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https://api.github.com/repos/huggingface/transformers/issues/6479 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6479/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6479/comments | https://api.github.com/repos/huggingface/transformers/issues/6479/events | https://github.com/huggingface/transformers/issues/6479 | 679,060,569 | MDU6SXNzdWU2NzkwNjA1Njk= | 6,479 | [TFTrainer] gradient accumulation error | {
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"We should wait for @jplu to come back from holiday for this, since he wrote that part of the code.",
"Good catch @maurice-g!!\r\n\r\nIt is my fault, I did that part in a hury and I should have been more careful. This will be fixed in a next PR (currently doing it)\r\n\r\n`n_replicas` is important here because we... | 1,597 | 1,598 | 1,598 | CONTRIBUTOR | null | ## Environment info
- `transformers` version: master (#9a8c168)
- Tensorflow version: 2.3.0
### Who can help
Trainer: @sgugger
tensorflow: @jplu
## Information
When using >1 `gradient_accumulation_steps` with TFTrainer and model inputs which are *not* simple tensors (for example dicts) the tra... | {
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"The model is also not listed on your [page ](https://huggingface.co/mrm8488). Can you try re-uploading ?",
"If you load it in your code ```mrm8488/t5-base-finetuned-boolq``` it works! Maybe a problem indexing it.",
"cc @julien-c ",
"Hi everyone, has there been a way fix this? I also uploaded a model (t5-podc... | 1,597 | 1,597 | 1,597 | CONTRIBUTOR | null | # ❓ Questions & Help
Hi guys, I uploaded a model several hours ago (t5-base-finetuned-boolq) and it is not indexed in the model hub search engine yet!
Thanks, Manu | {
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https://api.github.com/repos/huggingface/transformers/issues/6477 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6477/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6477/comments | https://api.github.com/repos/huggingface/transformers/issues/6477/events | https://github.com/huggingface/transformers/issues/6477 | 678,909,675 | MDU6SXNzdWU2Nzg5MDk2NzU= | 6,477 | finetune.py: error: unrecognized arguments | {
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examples/distillation: @VictorSanh
examples/seq2seq: @sshleifer
## Information
Model I am using (Bert, XLNet ...):
The problem arises when using:
* [X] the official example scripts: (give details below)
* [ ] my own modified scripts: (give details below)
The tasks I am working on is... | {
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"Hi @JamesHujy , yes when training BART you need to shift `labels` and `decoder_input_ids`.\r\n\r\n```python3\r\ntarget_text = \"some target text\"\r\nenc = tokenizer(target_text , return_tensors=\"pt\")\r\ntarget_ids = enc[\"input_ids\"]\r\ndecoder_input_ids = target_ids[:, :-1].contiguous()\r\nlabels = target_ids... | 1,597 | 1,603 | 1,603 | NONE | null | I notice that in [BartForConditionalGeneration](https://github.com/huggingface/transformers/blob/master/src/transformers/modeling_bart.py#L1043), the labels and logits are not shifted when computing cross-entropy loss. Should I provide a pre-possessed shifted labels to the model for training?
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https://api.github.com/repos/huggingface/transformers/issues/6475 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6475/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6475/comments | https://api.github.com/repos/huggingface/transformers/issues/6475/events | https://github.com/huggingface/transformers/pull/6475 | 678,857,696 | MDExOlB1bGxSZXF1ZXN0NDY3NzM1OTU2 | 6,475 | Use hash to clean the test dirs | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6475?src=pr&el=h1) Report\n> Merging [#6475](https://codecov.io/gh/huggingface/transformers/pull/6475?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/05810cd80a5ca83065e0dbe5335c030c4a435ddb&el=desc) will **decrease... | 1,597 | 1,597 | 1,597 | CONTRIBUTOR | null | This one solves it once for all. What do you think? @sgugger @LysandreJik | {
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https://api.github.com/repos/huggingface/transformers/issues/6474 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6474/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6474/comments | https://api.github.com/repos/huggingface/transformers/issues/6474/events | https://github.com/huggingface/transformers/issues/6474 | 678,854,141 | MDU6SXNzdWU2Nzg4NTQxNDE= | 6,474 | Training Data of xlm-roberta-large-finetuned-conll03-* models | {
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"Pinging @stefan-it ",
"Hi @wangxinyu0922 ,\r\n\r\nthe models are only trained on the corresponding training data sets, that means development data was not used for training :)",
"That's great! Thank you!",
"> \r\n> \r\n> Hi @wangxinyu0922 ,\r\n> \r\n> the models are only trained on the corresponding training... | 1,597 | 1,602 | 1,597 | NONE | null | Hi, I'm curious about the training data of xlm-r models finetuned on conll ner datasets (e.g. xlm-roberta-large-finetuned-conll03-german, xlm-roberta-large-finetuned-conll03-english), are the models trained on train+dev sets? | {
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https://api.github.com/repos/huggingface/transformers/issues/6473 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6473/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6473/comments | https://api.github.com/repos/huggingface/transformers/issues/6473/events | https://github.com/huggingface/transformers/pull/6473 | 678,846,547 | MDExOlB1bGxSZXF1ZXN0NDY3NzI2OTk4 | 6,473 | [sched] polynomial_decay_schedule use default power=1.0 | {
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I got the devs at fairseq to answer this question: https://github.com/pytorch/fairseq/issues... | {
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https://api.github.com/repos/huggingface/transformers/issues/6472 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6472/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6472/comments | https://api.github.com/repos/huggingface/transformers/issues/6472/events | https://github.com/huggingface/transformers/issues/6472 | 678,839,647 | MDU6SXNzdWU2Nzg4Mzk2NDc= | 6,472 | "BertEncoder' object has no attribute 'output_hidden_states" | {
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"I think you will have to tweak the model here a bit to make it work. Before you pass arguments to the model's call function, can you add this line:\r\n```python\r\nmodel.output_hidden_states = False\r\n```\r\n\r\nand see whether the error persists",
"Same issue here. Problem is not solved after setting\r\n'''\r\... | 1,597 | 1,597 | 1,597 | NONE | null | Hi I have trained a Bert token classification model for the Italian language using the "dbmdz/bert-base-italian-uncased". I have trained the model in a machine running Pytorch-1.4.0 and transformer 3.0.2, when I installed it few days back as it's the latest version.
I copied the saved best model to a server that runs ... | {
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"Our @JetRunner has already gone and proposed a fix using hashes: https://github.com/huggingface/transformers/pull/6475\r\n\r\nI think #6475 makes sense but your proposals also resonate with me, especially the 1.5. Using `tempfile.TemporaryDirectory` seems cleaner to me than manually removing the folder afterwards.... | 1,597 | 1,598 | 1,598 | CONTRIBUTOR | null | Recently, a crucial fix was applied to several tests https://github.com/huggingface/transformers/pull/6453/files. the temp dir wasn't getting cleaned and subsequent tests were unreliable as they were tapping into invalid old data. The remaining issue is that the added fix is not guaranteed to run. And it repeats itself... | {
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https://api.github.com/repos/huggingface/transformers/issues/6470 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6470/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6470/comments | https://api.github.com/repos/huggingface/transformers/issues/6470/events | https://github.com/huggingface/transformers/pull/6470 | 678,712,392 | MDExOlB1bGxSZXF1ZXN0NDY3NjE1MTUx | 6,470 | Generation doc | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6469?src=pr&el=h1) Report\n> Merging [#6469](https://codecov.io/gh/huggingface/transformers/pull/6469?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/6e0b1dc8954b87c18f77a82000e81e02683b8eb1&el=desc) will **increase... | 1,597 | 1,597 | 1,597 | CONTRIBUTOR | null | {
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"my model is \r\n```python\r\nclass TFBertForMultiClassification(TFBertPreTrainedModel):\r\n '''BERT Model class for multi-label classification using a softmax output layer '''\r\n\r\n def __init__(self, config, *inputs, **kwargs):\r\n super(TFBertForMultiClassification, self).__init__(config, *inputs,... | 1,597 | 1,597 | 1,597 | NONE | null | # ❓ Questions & Help
not sure if there is a bug.
when running
```python
from transformers.convert_graph_to_onnx import convert
convert(framework="tf", model = my_fine_tuned_bert_model, output="onnx-fine-tuned/model.onnx", opset=11, tokenizer=tokenizer)
```
I got the following log/output
```
ONNX opset ve... | {
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https://api.github.com/repos/huggingface/transformers/issues/6467 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6467/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6467/comments | https://api.github.com/repos/huggingface/transformers/issues/6467/events | https://github.com/huggingface/transformers/issues/6467 | 678,615,996 | MDU6SXNzdWU2Nzg2MTU5OTY= | 6,467 | Error: 'GPT2Model' object has no attribute '_step' when converting tf-based checkpoint into pytorch | {
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"same problem",
"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 | I'm trying to convert a tensorflow-based GPT-2 checkpoint into pytorch using `convert_gpt2_checkpoint_to_pytorch`, and get errors like:
```
INFO:transformers.modeling_gpt2:Converting TensorFlow checkpoint from /content/model.ckpt-220000
INFO:transformers.modeling_gpt2:Loading TF weight global_step with shape []
INF... | {
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https://api.github.com/repos/huggingface/transformers/issues/6466 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6466/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6466/comments | https://api.github.com/repos/huggingface/transformers/issues/6466/events | https://github.com/huggingface/transformers/pull/6466 | 678,611,430 | MDExOlB1bGxSZXF1ZXN0NDY3NTMwNzQy | 6,466 | add custom datasets tutorial | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6466?src=pr&el=h1) Report\n> Merging [#6466](https://codecov.io/gh/huggingface/transformers/pull/6466?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/6e0b1dc8954b87c18f77a82000e81e02683b8eb1&el=desc) will **decrease... | 1,597 | 1,598 | 1,597 | CONTRIBUTOR | null | A tutorial showing examples for working with custom datasets on several tasks. Goals:
1. Keep it general. The point is to show people how to use their own datasets, so don't use any processors or utilities that are dataset-specific.
2. Show several tasks with different data formats. I include sequence classificatio... | {
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"Error(s) in loading state_dict for RobertaLongForMaskedLM:\r\nsize mismatch for embeddings.position_ids: copying a param with shape torch.Size([1, 512]) from checkpoint, the shape in current model is torch.Size([1, 4096]).",
"Hey @Maybewuss,\r\n\r\nThis is a community notebook, so we don't really plan on maintai... | 1,597 | 1,628 | 1,614 | NONE | null | When i install transformers from source and convert bert to "long vesion", [failed.](https://colab.research.google.com/github/allenai/longformer/blob/master/scripts/convert_model_to_long.ipynb)
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6464?src=pr&el=h1) Report\n> Merging [#6464](https://codecov.io/gh/huggingface/transformers/pull/6464?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/54c687e97c92efe6eba9e537bd98b47d9005a279&el=desc) will **decrease... | 1,597 | 1,597 | 1,597 | MEMBER | null | This PR adds BartTokenizerFast in AutoTokenizer.
@sshleifer | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6463?src=pr&el=h1) Report\n> Merging [#6463](https://codecov.io/gh/huggingface/transformers/pull/6463?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/54c687e97c92efe6eba9e537bd98b47d9005a279&el=desc) will **increase... | 1,597 | 1,597 | 1,597 | MEMBER | null | This PR adds LongformerTokenizerFast in AutoTokenizer. Fixes #6459
@patrickvonplaten | {
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https://api.github.com/repos/huggingface/transformers/issues/6462 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6462/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6462/comments | https://api.github.com/repos/huggingface/transformers/issues/6462/events | https://github.com/huggingface/transformers/pull/6462 | 678,408,339 | MDExOlB1bGxSZXF1ZXN0NDY3MzYxMjcw | 6,462 | minor typo fix in modeling_utils | {
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"Thanks!"
] | 1,597 | 1,597 | 1,597 | CONTRIBUTOR | null | {
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To fix that I changed its type to a `set` instead of a `list`.
Fix #6460 | {
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The library takes care of caching the results, so that if you run the tokenization twice, it will reuse the previous results.
To make the caching work, we compute a hash of the tokenizer.
However the `unique_no_split_tokens` attribute of tokenizers... | {
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https://api.github.com/repos/huggingface/transformers/issues/6459 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6459/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6459/comments | https://api.github.com/repos/huggingface/transformers/issues/6459/events | https://github.com/huggingface/transformers/issues/6459 | 678,340,367 | MDU6SXNzdWU2NzgzNDAzNjc= | 6,459 | Autotokenizer not returning instance of LongformerTokenizerFast | {
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"Hi @pratikdk thank you for reporting this! Just made a PR, will be fixed soon. Till then you can use `LongformerTokenizerFast` class"
] | 1,597 | 1,597 | 1,597 | NONE | null | ## Environment info
- `transformers` version: 3.0.2
- Platform: Linux-4.19.112+-x86_64-with-Ubuntu-18.04-bionic
- 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
- Using distributed or parallel set-up in script?: Goo... | {
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https://api.github.com/repos/huggingface/transformers/issues/6458 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6458/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6458/comments | https://api.github.com/repos/huggingface/transformers/issues/6458/events | https://github.com/huggingface/transformers/issues/6458 | 678,318,571 | MDU6SXNzdWU2NzgzMTg1NzE= | 6,458 | Unknown task zero-shot-classification | {
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"Hello! this task is only available on the `master` branch as of now. You can install it as such: `pip install git+https://github.com/huggingface/transformers`.\r\n\r\nIt will be in the next release!",
"This is still happening on Databricks even though I re-installed the package several times today. Any thoughts?... | 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: Ubuntu 18
- Python version: 3.7
### Who can help
<!-- Your issue will be replied t... | {
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https://api.github.com/repos/huggingface/transformers/issues/6457 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6457/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6457/comments | https://api.github.com/repos/huggingface/transformers/issues/6457/events | https://github.com/huggingface/transformers/pull/6457 | 678,286,517 | MDExOlB1bGxSZXF1ZXN0NDY3MjU5MzE1 | 6,457 | Add POS tagging and Phrase chunking token classification examples | {
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"Hi @vblagoje , thanks for adding this :+1: \r\n\r\nGermEval dataset is currently not available - it seems that they've relaunched the shared task website. This dataset removal will also affect libraries such as Flair or `nlp` so I will try to find another mirror, thanks for reporting it!\r\n\r\nFor PoS tagging it ... | 1,597 | 1,597 | 1,597 | CONTRIBUTOR | null | This PR adds POS tagging and Phrase chunking examples to token classification examples. The current example (NER) is minimally adjusted to allow users to experiment with their token classification model training easily. Although experimenting with token classifications other than NER token classification is already pos... | {
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https://api.github.com/repos/huggingface/transformers/issues/6456 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6456/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6456/comments | https://api.github.com/repos/huggingface/transformers/issues/6456/events | https://github.com/huggingface/transformers/issues/6456 | 678,277,298 | MDU6SXNzdWU2NzgyNzcyOTg= | 6,456 | Open-Retrieval Question Answering (ORQA) | {
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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 | CONTRIBUTOR | null | # 🌟 New model addition
Open-Retrieval Question Answering system (ORQA) was introduced in the paper https://arxiv.org/abs/1906.00300. This approach is very useful for those who work on Open Domain Question Answering.
<!-- Important information -->
## Open source status
* [x] the model implementation is avai... | {
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https://api.github.com/repos/huggingface/transformers/issues/6455 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6455/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6455/comments | https://api.github.com/repos/huggingface/transformers/issues/6455/events | https://github.com/huggingface/transformers/issues/6455 | 678,231,060 | MDU6SXNzdWU2NzgyMzEwNjA= | 6,455 | MASS : A generalization of BERT and GPT | {
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"Can also try MP-Net of theirs next . ",
"Sorry, just saw the request for MP-Net [here](https://github.com/huggingface/transformers/issues/4308) . Seems I was behind. So, shall I close this issue, or does anyone still want separate MASS model here ? @RyanHuangNLP",
"@RyanHuangNLP @StillKeepTry , @tobyoup , @xu... | 1,597 | 1,606 | 1,606 | CONTRIBUTOR | null | # 🌟 New model addition
## Model description
MASS is a novel pre-training method for sequence to sequence based language generation tasks. It randomly masks a sentence fragment in the encoder, and then predicts it in the decoder. In this way, MASS can jointly train the encoder and decoder to develop the capabilit... | {
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https://api.github.com/repos/huggingface/transformers/issues/6454 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6454/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6454/comments | https://api.github.com/repos/huggingface/transformers/issues/6454/events | https://github.com/huggingface/transformers/issues/6454 | 678,222,948 | MDU6SXNzdWU2NzgyMjI5NDg= | 6,454 | Memory Issue while following LM tutorial | {
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"Hi @raceee ,\r\nGPU: RTX 2060 6G VRAM (x2) is GB GPU, so I don't think you will be able to use `batch_size` 64 with it. Try lowering your batch_size if your are running into OOM.\r\n\r\nAS for big dataset take a look at the [nlp](https://github.com/huggingface/nlp) package, it will allow you to load and process da... | 1,597 | 1,602 | 1,597 | NONE | null | (Didn't get answer)
https://stackoverflow.com/questions/63387831/memory-issue-while-following-lm-tutorial
SPECS:
torch==1.5.0
transformers==3.0.2
OS: Windows 10
CUDA: 10.1
GPU: RTX 2060 6G VRAM (x2)
RAM: 32GB
tutorial: https://huggingface.co/blog/how-to-train
Hello I am trying to train my own language m... | {
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https://api.github.com/repos/huggingface/transformers/issues/6453 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6453/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6453/comments | https://api.github.com/repos/huggingface/transformers/issues/6453/events | https://github.com/huggingface/transformers/pull/6453 | 678,205,738 | MDExOlB1bGxSZXF1ZXN0NDY3MTkyNDE4 | 6,453 | Clean directory after script testing | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6453?src=pr&el=h1) Report\n> Merging [#6453](https://codecov.io/gh/huggingface/transformers/pull/6453?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/4ffea5ce2f4d154a3696b8fe2fb116fa09235700&el=desc) will **decrease... | 1,597 | 1,620 | 1,597 | CONTRIBUTOR | null | #6421 #6433
This PR cleans the directory after each script testing to prevent bugs like this. | {
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https://api.github.com/repos/huggingface/transformers/issues/6452 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6452/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6452/comments | https://api.github.com/repos/huggingface/transformers/issues/6452/events | https://github.com/huggingface/transformers/issues/6452 | 678,154,775 | MDU6SXNzdWU2NzgxNTQ3NzU= | 6,452 | getting error while training bert language model. "ValueError: Expected input batch_size (8) to match target batch_size (1024)." | {
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"the same probleme ??\r\n\r\nExpected input batch_size (15) to match target batch_size (0).",
"Same problem",
"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",
"I have the same probl... | 1,597 | 1,646 | 1,607 | NONE | null | from transformers import BertTokenizer
tokenizer = BertTokenizer.from_pretrained('bert-base-uncased')
from transformers import BertForSequenceClassification
model = BertForSequenceClassification.from_pretrained('bert-base-uncased')
%%time
from transformers import LineByLineTextDataset,TextDataset
paths = '/co... | {
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https://api.github.com/repos/huggingface/transformers/issues/6451 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6451/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6451/comments | https://api.github.com/repos/huggingface/transformers/issues/6451/events | https://github.com/huggingface/transformers/issues/6451 | 678,111,323 | MDU6SXNzdWU2NzgxMTEzMjM= | 6,451 | ERROR: No matching distribution found for tokenizers==0.8.1.rc1 (from transformers) | {
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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 | ```
ERROR: Could not find a version that satisfies the requirement tokenizers==0.8.1.rc1 (from transformers) (from versions: 0.0.2, 0.0.3, 0.0.4, 0.0.5, 0.0.6, 0.0.7, 0.0.8, 0.0.9, 0.0.10, 0.0.11, 0.0.12, 0.0.13, 0.1.0, 0.1.1, 0.2.0, 0.2.1, 0.3.0, 0.4.0, 0.4.1, 0.4.2, 0.5.0, 0.5.1, 0.5.2, 0.6.0, 0.7.0, 0.8.0, 0.8.1)
... | {
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https://api.github.com/repos/huggingface/transformers/issues/6450 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6450/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6450/comments | https://api.github.com/repos/huggingface/transformers/issues/6450/events | https://github.com/huggingface/transformers/issues/6450 | 678,065,558 | MDU6SXNzdWU2NzgwNjU1NTg= | 6,450 | Error in PyTorch Trainer when used with TPU | {
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"I am receiving the same error. Even without using TPU. \r\n\r\npython run_glue.py --model_name_or_path bert-base-cased --task_name MRPC --do_train --do_eval --data_dir $GLUE_DIR/MRPC/ --max_seq_length 128 --per_device_train_batch_size --learning_rate 2e-5 --num_train_epochs 3.0 --output_dir /t... | 1,597 | 1,598 | 1,598 | 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-4.19.112+-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.6.9
- PyTorch ver... | {
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https://api.github.com/repos/huggingface/transformers/issues/6449 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6449/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6449/comments | https://api.github.com/repos/huggingface/transformers/issues/6449/events | https://github.com/huggingface/transformers/pull/6449 | 677,931,960 | MDExOlB1bGxSZXF1ZXN0NDY2OTY5NTU2 | 6,449 | Trainer automatically drops unused columns in nlp datasets | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6449?src=pr&el=h1) Report\n> Merging [#6449](https://codecov.io/gh/huggingface/transformers/pull/6449?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/bc820476a5c72060f810f825298befd5ec85da4d?el=desc) will **decrease... | 1,597 | 1,597 | 1,597 | COLLABORATOR | null | Here is a basic example of use for evaluation on SST-2:
```
from nlp import load_dataset, load_metric
from transformers import AutoModelForSequenceClassification, AutoTokenizer, Trainer, TrainingArguments
dataset = load_dataset('glue', 'sst2')
metric = load_metric('glue', 'sst2')
model_name = "distilbert-base-u... | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6448?src=pr&el=h1) Report\n> Merging [#6448](https://codecov.io/gh/huggingface/transformers/pull/6448?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/bc820476a5c72060f810f825298befd5ec85da4d&el=desc) will **increase... | 1,597 | 1,597 | 1,597 | CONTRIBUTOR | null | Trying out the CircleCI flow. I'll delete this PR after testing. | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6447?src=pr&el=h1) Report\n> Merging [#6447](https://codecov.io/gh/huggingface/transformers/pull/6447?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/a75c64d80c76c3dc71f735d9197a4a601847e0cd?el=desc) will **increase... | 1,597 | 1,598 | 1,598 | MEMBER | null | This PR:
- adds a simple test for all tf models to verify that the forward function can be used in graph mode
- optimizes TF Longformer, by removing unnecessary calculation, such as `tf.transpose()` (In contrast to PyTorch, `tf.transpose()` allocates a new tensor and thus should be avoided). This also cleans up the c... | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6445?src=pr&el=h1) Report\n> Merging [#6445](https://codecov.io/gh/huggingface/transformers/pull/6445?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/96c3329f19f28e47eab7f9f20ed3504619e16722&el=desc) will **increase... | 1,597 | 1,597 | 1,597 | MEMBER | null | Adds a test to check that the model outputs keep the same values and order as the tuple output. | {
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"Replicated, will fix.",
"use \r\n```python\r\nAutoModelForSeq2SeqLM.from_pretrained('Helsinki-NLP/opus-mt-hy-en')\r\n```\r\n\r\nIt performs better than the later hye-eng version for armenian-english.\r\nI removed hye-eng.",
"Thank you! It works "
] | 1,597 | 1,597 | 1,597 | NONE | null | ## Environment info
- `transformers` version: 3.0.2
- Platform: Linux-5.3.0-51-generic-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.6.9
- PyTorch version (GPU?): 1.3.1 (True)
- Tensorflow version (GPU?): not installed (NA)
- Using GPU in script?: NO
- Using distributed or parallel set-up in script?... | {
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"I found the repo simpletransformers, which uses this marvelous repo of yours. I got to run a transformer through there, so I'll be closing the issue now. Thanks anyway!"
] | 1,597 | 1,597 | 1,597 | NONE | null | Hi, sorry to bother. I am trying to train a translation transformer, I have seen the documentation but I am still really lost.
I have two datasets, the original message and the translated message.
Example:
dataset_x.txt
This is the message.
This is another message.
Another one.
dataset_y.txt
This<&>is the... | {
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https://api.github.com/repos/huggingface/transformers/issues/6442 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6442/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6442/comments | https://api.github.com/repos/huggingface/transformers/issues/6442/events | https://github.com/huggingface/transformers/pull/6442 | 677,780,301 | MDExOlB1bGxSZXF1ZXN0NDY2ODQzNzUy | 6,442 | Adding PaddingDataCollator | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6442?src=pr&el=h1) Report\n> Merging [#6442](https://codecov.io/gh/huggingface/transformers/pull/6442?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/96c3329f19f28e47eab7f9f20ed3504619e16722&el=desc) will **decrease... | 1,597 | 1,597 | 1,597 | COLLABORATOR | null | New version of #6398 | {
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"The failure is coming from `test_modeling_tf_electra.py`",
"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6441?src=pr&el=h1) Report\n> Merging [#6441](https://codecov.io/gh/huggingface/transformers/pull/6441?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/6e0... | 1,597 | 1,597 | 1,597 | MEMBER | null | This PR adds MBartForConditionalGeneration. Regarding #6416
@sshleifer | {
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https://api.github.com/repos/huggingface/transformers/issues/6440 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6440/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6440/comments | https://api.github.com/repos/huggingface/transformers/issues/6440/events | https://github.com/huggingface/transformers/issues/6440 | 677,740,367 | MDU6SXNzdWU2Nzc3NDAzNjc= | 6,440 | Getting Error from Default Data Collator while training Bert on SQUAD 2.0 | {
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"First things first, please use ``` when copy-pasting stack traces or code (I've edited your post to use that) otherwise it's not really readable.\r\n\r\nIt's hard to know what's going on without knowing how you built your `train_dataset`. The data collator seems to have problems with it. The items should be dictio... | 1,597 | 1,679 | 1,606 | NONE | null | Hello, I'm a fresher playing with the transformers. I suppose to train the BERT model `bert-base-cased` on SQUAD 2.0, but having an error in `data_collator`: It shows an error of `TypeError: an integer is required`
Here is the detail:
```
Epoch: 0%| | 0/2 [00:00<?, ?i... | {
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"I don't see what's wrong? There are 422,095 iterations in one of your epochs, so to get to 500,000 you'll do one full epoch and the beginning of the second epoch. Training will stop after it has reached 500,000.\r\n\r\nYou can't have just one epoch since you need more iterations to reach the `max_steps` you have g... | 1,597 | 1,597 | 1,597 | NONE | null | ## Environment info
- `transformers` version: 3.0.2
- Platform: Linux-4.19.112+-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.6.9
- PyTorch version (GPU?): 1.6.0+cu101 (True)
- Tensorflow version (GPU?): 2.3.0 (True)
- Using GPU in script?: yes
- Using distributed or parallel set-up in script?: no
### W... | {
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"Hey @VikasRajashekar, \r\n\r\nWe are trying to move \"non-bug\" related questions to https://discuss.huggingface.co/ - could you post your question there again? :-) ",
"Btw, for Reformer, you can check out these notebooks: https://github.com/patrickvonplaten/notebooks/blob/master/PyTorch_Reformer.ipynb and https... | 1,597 | 1,597 | 1,597 | NONE | null | Hello, I am looking, for example, script/notebook to train GPT2 and Reformer model from scratch in German.
Something similar to :
https://colab.research.google.com/github/huggingface/blog/blob/master/notebooks/01_how_to_train.ipynb
I am trying to modify the same notebook but GPT2 doesn't seem to accept LinebyLin... | {
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] | 1,597 | 1,597 | 1,597 | COLLABORATOR | null | The `HfArgumentParser` was failing on arguments type-annoted with `Optional[bool]`. This fixes that (and issue #6428 in the process) so we don't have to remember to not put `Optional` around bools. | {
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] | 1,597 | 1,603 | 1,603 | NONE | null | Dear all,
While training the run_pl_ner.py code, with increasing documents added the epoch iterator increases. But with this increase, it also prints a new line making the progress bar for the epoch span on multiple lines as shown below. I was wondering if there is a way to restrict this multi-line progress bar to o... | {
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https://api.github.com/repos/huggingface/transformers/issues/6435 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6435/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6435/comments | https://api.github.com/repos/huggingface/transformers/issues/6435/events | https://github.com/huggingface/transformers/pull/6435 | 677,576,188 | MDExOlB1bGxSZXF1ZXN0NDY2NjcxNDg2 | 6,435 | Update README.md | {
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```py
def get_logger():
'''
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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 have a text file which I want to use as input for trainer_tf.py. Since it requires a dataset object as input, is there any implementation of something like the LineByLineTextDataset module in TF2 as well? | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6430?src=pr&el=h1) Report\n> Merging [#6430](https://codecov.io/gh/huggingface/transformers/pull/6430?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/4ffea5ce2f4d154a3696b8fe2fb116fa09235700&el=desc) will **increase... | 1,597 | 1,599 | 1,599 | CONTRIBUTOR | null | This is a refactoring experiment as suggested at https://github.com/huggingface/transformers/issues/6204
10 models and 1 template have been refactored - I will check for more if this looks promising (the doc and new function's signature are incomplete). Let me know whether to continue or not.
the refactoring was ... | {
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This PR also makes a small refactoring to move all the... | {
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https://api.github.com/repos/huggingface/transformers/issues/6428 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6428/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6428/comments | https://api.github.com/repos/huggingface/transformers/issues/6428/events | https://github.com/huggingface/transformers/issues/6428 | 677,274,110 | MDU6SXNzdWU2NzcyNzQxMTA= | 6,428 | Error in run_tf_squad.py script | {
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"The error seems to be caused by the field `use_tfds` from the `DataTrainingArguments` class.\r\nChanging its type from `Optional[bool]` to `bool` and changing the default value to `False`, seem to resolve the issue, however, I don't really understand why and I'm not sure whether this is the right way to fix the is... | 1,597 | 1,597 | 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: 3.0.2
- Platform: Linux-4.19.112+-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.6.9
- PyTorch ver... | {
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https://api.github.com/repos/huggingface/transformers/issues/6427 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6427/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6427/comments | https://api.github.com/repos/huggingface/transformers/issues/6427/events | https://github.com/huggingface/transformers/pull/6427 | 677,198,923 | MDExOlB1bGxSZXF1ZXN0NDY2MzU2NTI4 | 6,427 | Activate check on the CI | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6427?src=pr&el=h1) Report\n> Merging [#6427](https://codecov.io/gh/huggingface/transformers/pull/6427?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/34fabe1697f653dc0f54ac8f510d6ba5578a1a53&el=desc) will **increase... | 1,597 | 1,597 | 1,597 | COLLABORATOR | null | The check of modules documented and tested was only in `make quality`, not circleCI | {
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https://api.github.com/repos/huggingface/transformers/issues/6426 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6426/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6426/comments | https://api.github.com/repos/huggingface/transformers/issues/6426/events | https://github.com/huggingface/transformers/pull/6426 | 677,167,388 | MDExOlB1bGxSZXF1ZXN0NDY2MzMxOTk3 | 6,426 | Move prediction_loss_only to TrainingArguments | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6426?src=pr&el=h1) Report\n> Merging [#6426](https://codecov.io/gh/huggingface/transformers/pull/6426?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/66fa8ceaeaa6fe12f1bd4a5e6b0a924f59f715d9&el=desc) will **decrease... | 1,597 | 1,597 | 1,597 | COLLABORATOR | null | It didn't make sense to me to have that boolean flag in the init of `Trainer` when all the other ones are in `TrainingArguments` so I deprecated it and moved it.
Let me know if you think it's a wrong move.
Unrelated changes: had to fix `make quality` that was complaining about non-documented or tested models and ... | {
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https://api.github.com/repos/huggingface/transformers/issues/6425 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6425/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6425/comments | https://api.github.com/repos/huggingface/transformers/issues/6425/events | https://github.com/huggingface/transformers/pull/6425 | 677,166,825 | MDExOlB1bGxSZXF1ZXN0NDY2MzMxNTYx | 6,425 | [examples] add pytest dependency | {
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```
pip install -r examples/requirements.txt
```
so they don't have it, and tests break.
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https://api.github.com/repos/huggingface/transformers/issues/6424 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6424/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6424/comments | https://api.github.com/repos/huggingface/transformers/issues/6424/events | https://github.com/huggingface/transformers/issues/6424 | 677,129,877 | MDU6SXNzdWU2NzcxMjk4Nzc= | 6,424 | actions CI self-scheduled: run_examples torch even if run_torch_tests fails | {
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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 | 1,602 | 1,602 | CONTRIBUTOR | null |
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https://api.github.com/repos/huggingface/transformers/issues/6423 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6423/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6423/comments | https://api.github.com/repos/huggingface/transformers/issues/6423/events | https://github.com/huggingface/transformers/pull/6423 | 677,112,028 | MDExOlB1bGxSZXF1ZXN0NDY2Mjg4ODUz | 6,423 | Fixes to make life easier with the nlp library | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6423?src=pr&el=h1) Report\n> Merging [#6423](https://codecov.io/gh/huggingface/transformers/pull/6423?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/f6cb0f806efecb64df40c946dacaad0adad33d53&el=desc) will **increase... | 1,597 | 1,597 | 1,597 | COLLABORATOR | null | This PR adds two things to make the interface easier with the `nlp` library:
- `BatchEncoding` stops enforcing a 2-dim for every tensor, which causes problems for labels (which should be one vector of shape `[batch_size]`).
- `PreTrainedTokenizerBase.pad` accepts tensors as inputs, which makes it easy to use this fun... | {
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https://api.github.com/repos/huggingface/transformers/issues/6422 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6422/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6422/comments | https://api.github.com/repos/huggingface/transformers/issues/6422/events | https://github.com/huggingface/transformers/pull/6422 | 677,104,769 | MDExOlB1bGxSZXF1ZXN0NDY2MjgyOTg5 | 6,422 | [test] replace capsys with the more refined CaptureStderr/CaptureStdout | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6422?src=pr&el=h1) Report\n> Merging [#6422](https://codecov.io/gh/huggingface/transformers/pull/6422?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/4ffea5ce2f4d154a3696b8fe2fb116fa09235700&el=desc) will **decrease... | 1,597 | 1,597 | 1,597 | CONTRIBUTOR | null | Now https://github.com/huggingface/transformers/pull/6231 has been merged, we can now do a more refined, more tightly scoped std stream captures as shown [here](https://github.com/huggingface/transformers/pull/6231#issuecomment-671789424)
otherwise no test functionality change.
Any CI fails are unrelated.
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