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https://api.github.com/repos/huggingface/transformers/issues/7121 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7121/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7121/comments | https://api.github.com/repos/huggingface/transformers/issues/7121/events | https://github.com/huggingface/transformers/pull/7121 | 701,197,363 | MDExOlB1bGxSZXF1ZXN0NDg2Njk1NDcx | 7,121 | [blk] backtranslation script | {
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Fixes #{issue number}
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https://api.github.com/repos/huggingface/transformers/issues/7120 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7120/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7120/comments | https://api.github.com/repos/huggingface/transformers/issues/7120/events | https://github.com/huggingface/transformers/issues/7120 | 701,171,438 | MDU6SXNzdWU3MDExNzE0Mzg= | 7,120 | modeling_xlnet.py:283: UserWarning: Mixed memory format inputs detected while calling the operator. | {
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"Hey! I haven't been able to reproduce this with what you've given, maybe it is linked to your 'token_type_ids' ? I don't really have enough info on what you're trying to do with only this line. In any case:\r\n\r\n - The warning text seems innocuous.\r\n - I don't see this line in the current (master) codebase, so... | 1,600 | 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! -->
- `transformers` version: 3.0.2
- Platform: Windows-10-10.0.19041-SP0
- Python version: 3.7.7
- PyTorch version (GPU?): 1.6.0 (Tr... | {
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https://api.github.com/repos/huggingface/transformers/issues/7119 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7119/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7119/comments | https://api.github.com/repos/huggingface/transformers/issues/7119/events | https://github.com/huggingface/transformers/pull/7119 | 701,142,340 | MDExOlB1bGxSZXF1ZXN0NDg2NjQ5NTk0 | 7,119 | Fix reproducible tests in Trainer | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7119?src=pr&el=h1) Report\n> Merging [#7119](https://codecov.io/gh/huggingface/transformers/pull/7119?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/5636cbb25d248b61bb9027d026dddcd6d1599b0b?el=desc) will **decrease... | 1,600 | 1,600 | 1,600 | COLLABORATOR | null | This fixes the tests that were using hardcoded values for reproducible training by testing instead the training yields the same result as one run with the same seed during setup. As a result, it can also run in a multigpu-environment (which is why I removed the decorator).
I also fixed the batch size to count the nu... | {
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https://api.github.com/repos/huggingface/transformers/issues/7118 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7118/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7118/comments | https://api.github.com/repos/huggingface/transformers/issues/7118/events | https://github.com/huggingface/transformers/pull/7118 | 701,018,050 | MDExOlB1bGxSZXF1ZXN0NDg2NTQ1MjQx | 7,118 | Temporarily skip failing tests due to dependency change | {
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"@julien-c wrote that test\r\nhttps://github.com/huggingface/transformers/pull/3800/files#diff-d524f2b47fd9e3af8aea82b9fac55079R88-R90\r\nso it's probably a good idea to ping him instead, as I'm unfamiliar, yet, with that part of `transformers`."
] | 1,600 | 1,600 | 1,600 | MEMBER | null | cc @sgugger @stas00 | {
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https://api.github.com/repos/huggingface/transformers/issues/7117 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7117/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7117/comments | https://api.github.com/repos/huggingface/transformers/issues/7117/events | https://github.com/huggingface/transformers/issues/7117 | 700,983,454 | MDU6SXNzdWU3MDA5ODM0NTQ= | 7,117 | Feature request: State the goals and none goals of the library in the README | {
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"That's a good idea! The closest document we have to this right now is our [philosophy](https://huggingface.co/transformers/philosophy.html), have you checked it out?",
"No, I just saw it now. \r\nIt in fact has exactly what I would have wanted to find. Particularly the sentence\r\n> As a consequence, this librar... | 1,600 | 1,606 | 1,606 | NONE | null | # π Feature request
I'd like the library's README to say what it's goals and none goals are.
For example, as a (new) user I really like [Typescripts non-goals](https://github.com/microsoft/TypeScript/wiki/TypeScript-Design-Goals) because it made it clear what to expect from Typescript and thus how to best use it. ... | {
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https://api.github.com/repos/huggingface/transformers/issues/7116 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7116/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7116/comments | https://api.github.com/repos/huggingface/transformers/issues/7116/events | https://github.com/huggingface/transformers/pull/7116 | 700,958,861 | MDExOlB1bGxSZXF1ZXN0NDg2NDk1MzY1 | 7,116 | fix link to paper | {
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https://api.github.com/repos/huggingface/transformers/issues/7115 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7115/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7115/comments | https://api.github.com/repos/huggingface/transformers/issues/7115/events | https://github.com/huggingface/transformers/issues/7115 | 700,944,470 | MDU6SXNzdWU3MDA5NDQ0NzA= | 7,115 | can i self-define the decoder when i user EncoderDecoderModel? | {
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"Hey @lonelydancer, \r\n\r\nyou can define which decoder you want to use. It can be either a pretrained model or a randomly initialized model. The model just has to be part of `AutoModelForCausalLM` to be loaded into the EncoderDecoderModel. If you give me some more details on your use-case I can probably help you ... | 1,600 | 1,607 | 1,607 | NONE | null | # β Questions & Help
In my task, i have to define a decoder by myself, because the vocabulary is Chinese words.
But it seems the class method do not support that, i have to init the decoder from the pretrained model.
<!-- The GitHub issue tracker is primarly intended for bugs, feature requests,
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https://api.github.com/repos/huggingface/transformers/issues/7114 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7114/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7114/comments | https://api.github.com/repos/huggingface/transformers/issues/7114/events | https://github.com/huggingface/transformers/issues/7114 | 700,869,582 | MDU6SXNzdWU3MDA4Njk1ODI= | 7,114 | How to return the word embeddings and how to understand the hidden_states in return? | {
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"Well if you want the embeddings of words with their context, your best bet is to take the entire output of the model. If you take only the word embeddings, these are contextless. \r\n\r\nYou should take the model with no head, i.e., the base model: `BertModel`, `GPT2Model`, etc. output to get this value.",
"This... | 1,600 | 1,606 | 1,606 | NONE | null | # β 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/7113 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7113/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7113/comments | https://api.github.com/repos/huggingface/transformers/issues/7113/events | https://github.com/huggingface/transformers/issues/7113 | 700,808,780 | MDU6SXNzdWU3MDA4MDg3ODA= | 7,113 | Generate coherent text with T5 | {
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"@parthplc Did you find an answer to this question?",
"@jsrozner yeah, I was able to finetune t5 for text generation.",
"> @jsrozner yeah, I was able to finetune t5 for text generation.\r\n\r\nIs your work publicly visible anywhere? (colab or a repository) I was looking for some examples to adapt to my use case... | 1,600 | 1,602 | 1,600 | NONE | null | Can we use T5 to generate coherent text given an input line like in case of GPT-2? If yes how do we fine-tune T5 for such a task?
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https://api.github.com/repos/huggingface/transformers/issues/7112 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7112/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7112/comments | https://api.github.com/repos/huggingface/transformers/issues/7112/events | https://github.com/huggingface/transformers/issues/7112 | 700,731,019 | MDU6SXNzdWU3MDA3MzEwMTk= | 7,112 | prepare for the label for EncoderDecoderModel | {
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"In BertLMHeadModel ,\r\nshift the label\r\n*prediction_scores = prediction_scores[:, :-1, :].contiguous()\r\n*labels = labels[:, 1:].contiguous()"
] | 1,600 | 1,600 | 1,600 | NONE | null | # β 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/7111 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7111/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7111/comments | https://api.github.com/repos/huggingface/transformers/issues/7111/events | https://github.com/huggingface/transformers/issues/7111 | 700,728,197 | MDU6SXNzdWU3MDA3MjgxOTc= | 7,111 | MBART/Marian for low resource/backtranslation | {
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"Nope, use Helsinki-NLP!",
"LMK if you have trouble finding your language.",
"**Swahili / Uzbek / Telugu / Gujrati** any of them will do. Also, I just need to do back-translation, do u have a code snippet to do translation using Helsinki-NLP",
"```python\r\nmname = 'Helsinki-NLP/opus-mt-en-sw'\r\nsrc_text = ... | 1,600 | 1,600 | 1,600 | NONE | null | Are there any finetuned checkpoints of mBART on any low resource language release by hugging face. I can see English- Romanian but was wondering if there is a way to access other languages. Did facebook release them actually?
@sshleifer | {
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https://api.github.com/repos/huggingface/transformers/issues/7110 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7110/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7110/comments | https://api.github.com/repos/huggingface/transformers/issues/7110/events | https://github.com/huggingface/transformers/pull/7110 | 700,723,859 | MDExOlB1bGxSZXF1ZXN0NDg2Mjk3OTgy | 7,110 | [s2s] distributed eval cleanup | {
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"Failure is spurious, merging."
] | 1,600 | 1,600 | 1,600 | CONTRIBUTOR | null | <!-- This line specifies which issue to close after the pull request is merged. -->
Fixes #{issue number}
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https://api.github.com/repos/huggingface/transformers/issues/7109 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7109/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7109/comments | https://api.github.com/repos/huggingface/transformers/issues/7109/events | https://github.com/huggingface/transformers/pull/7109 | 700,707,215 | MDExOlB1bGxSZXF1ZXN0NDg2Mjg1MDk0 | 7,109 | [s2s run_eval] new features | {
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"After signature discussion is complete, lets add some test coverage.\r\nCan copy/modify [`test_run_eval`](https://github.com/huggingface/transformers/blob/master/examples/seq2seq/test_seq2seq_examples.py#L287)",
"> * Important that we can `utils.json_load` the dumped files.\r\n\r\nDo you see a reason why it ... | 1,600 | 1,600 | 1,600 | CONTRIBUTOR | null | this PR adds several features to `run_eval.py` and adds a new script `run_eval_search.py`
* adding 2 new args:
```
--dump-args print the custom hparams with the results
--info [INFO] use in conjunction w/ --dump-args to print with the results whatever other info you'd like,
... | {
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https://api.github.com/repos/huggingface/transformers/issues/7108 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7108/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7108/comments | https://api.github.com/repos/huggingface/transformers/issues/7108/events | https://github.com/huggingface/transformers/pull/7108 | 700,686,552 | MDExOlB1bGxSZXF1ZXN0NDg2MjY5MjY4 | 7,108 | [QOL] add signature for prepare_seq2seq_batch | {
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"Didn't know docstring inheritance worked like that. Very cool!",
"Docstring looks great to me, thanks for adding!",
"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7108?src=pr&el=h1) Report\n> Merging [#7108](https://codecov.io/gh/huggingface/transformers/pull/7108?src=pr&el=desc) into [master... | 1,600 | 1,600 | 1,600 | CONTRIBUTOR | null | This pr adds the signature, but no implementation of `prepare_seq2seq_batch` to `PretrainedTokenizer` to allow IDE autocompletion when `AutoTokenizer` is used.
+ The signature is quite large and it is nice to see what needs to be supplied.
+ The signature is enforced by the unittests, so it won't be misleading.
... | {
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https://api.github.com/repos/huggingface/transformers/issues/7107 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7107/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7107/comments | https://api.github.com/repos/huggingface/transformers/issues/7107/events | https://github.com/huggingface/transformers/pull/7107 | 700,684,706 | MDExOlB1bGxSZXF1ZXN0NDg2MjY3Nzc2 | 7,107 | Update xsum length penalty to better values | {
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+ Already reflected on S3, so this is just a unittest fix. | {
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https://api.github.com/repos/huggingface/transformers/issues/7106 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7106/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7106/comments | https://api.github.com/repos/huggingface/transformers/issues/7106/events | https://github.com/huggingface/transformers/issues/7106 | 700,650,900 | MDU6SXNzdWU3MDA2NTA5MDA= | 7,106 | One command to run+aggregate distributed evaluation results | {
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"@stas00 let me know if this interests you, no pressure",
"Yes, please. Especially since I asked for it ;)",
"Cleaned up a bit [here](https://github.com/huggingface/transformers/pull/7110)\r\nIt is super fast!\r\n\r\nThis is the current workflow though :(\r\n\r\n```\r\npython -m torch.distributed.launch --nproc... | 1,600 | 1,600 | 1,600 | CONTRIBUTOR | null | ### Current Situation
In https://github.com/huggingface/transformers/pull/7105, I wrote a three command combo to run distributed eval.
The three commands are:
```
python -m torch.distributed.launch --nproc_per_node=2 run_distributed_eval.py --fp16 --bs 16
python aggregate_distributed_results.py tmp_gen tmp_gen2... | {
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https://api.github.com/repos/huggingface/transformers/issues/7105 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7105/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7105/comments | https://api.github.com/repos/huggingface/transformers/issues/7105/events | https://github.com/huggingface/transformers/pull/7105 | 700,632,215 | MDExOlB1bGxSZXF1ZXN0NDg2MjI4Njk1 | 7,105 | [s2s] two stage run_distributed_eval.py | {
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python -m torch.distributed.launch --nproc_per_node=2 run_distributed_eval.py --fp16 --bs 16
python cleanup_distributed.py tmp_gen tmp_gen2
``` | {
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https://api.github.com/repos/huggingface/transformers/issues/7104 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7104/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7104/comments | https://api.github.com/repos/huggingface/transformers/issues/7104/events | https://github.com/huggingface/transformers/pull/7104 | 700,631,655 | MDExOlB1bGxSZXF1ZXN0NDg2MjI4MjU4 | 7,104 | [s2s distill] allow pegasus-12-12 | {
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Fixes #{issue number}
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https://api.github.com/repos/huggingface/transformers/issues/7103 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7103/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7103/comments | https://api.github.com/repos/huggingface/transformers/issues/7103/events | https://github.com/huggingface/transformers/issues/7103 | 700,607,949 | MDU6SXNzdWU3MDA2MDc5NDk= | 7,103 | ValueError: Wrong shape for input_ids (shape torch.Size([18])) or attention_mask (shape torch.Size([18])) | {
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"I had the same error, I had it downgraded `pip install transformers==3.0.2` in order to work.",
"My problem was not that I needed to downgrade but the fact that I needed new functionality from the newest transformers to work while also working with the features of simalign. I solved this bug here: https://github... | 1,600 | 1,600 | 1,600 | NONE | null | ## Environment info
- `transformers` version: 3.1.0
- Platform: Darwin-18.0.0-x86_64-i386-64bit
- Python version: 3.7.2
- PyTorch version (GPU?): 1.5.1 (False)
- Tensorflow version (GPU?): 2.2.0 (False)
- Using GPU in script?: No
- Using distributed or parallel set-up in script?: No (Running on Macbook Pro Ma... | {
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"hi @cmdllx , I don't think longformer will be necessarily faster than bert-base-cased. The goal of longformer is to make memory complexity of attention layer liner w.r.t to seq length instead of quadratic, so it saves memory, not compute. More the seq-length , more will be inference time.",
"This issue has been... | 1,600 | 1,606 | 1,606 | NONE | null | The longformer-base-4096 model should be faster than bert-base-cased ,However I find that the former one takes more time to inference | {
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https://api.github.com/repos/huggingface/transformers/issues/7101 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7101/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7101/comments | https://api.github.com/repos/huggingface/transformers/issues/7101/events | https://github.com/huggingface/transformers/pull/7101 | 700,503,762 | MDExOlB1bGxSZXF1ZXN0NDg2MTMzNzIw | 7,101 | [docs] add testing documentation | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7101?src=pr&el=h1) Report\n> Merging [#7101](https://codecov.io/gh/huggingface/transformers/pull/7101?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/90cde2e938638e64a8696a12b79ee5f52364b162?el=desc) will **increase... | 1,599 | 1,600 | 1,600 | CONTRIBUTOR | null | This PR adds the initial version of the testing doc.
* This is partially based on the work I did for [fastai last year](https://fastai1.fast.ai/dev/test.html), but rewritten to match the `transformers` environment. It's full of useful tips and tools for running tests. it's very useful for those who do a lot of testi... | {
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https://api.github.com/repos/huggingface/transformers/issues/7100 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7100/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7100/comments | https://api.github.com/repos/huggingface/transformers/issues/7100/events | https://github.com/huggingface/transformers/pull/7100 | 700,496,293 | MDExOlB1bGxSZXF1ZXN0NDg2MTI3NDI5 | 7,100 | [logging] remove no longer needed verbosity override | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7100?src=pr&el=h1) Report\n> Merging [#7100](https://codecov.io/gh/huggingface/transformers/pull/7100?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/90cde2e938638e64a8696a12b79ee5f52364b162?el=desc) will **decrease... | 1,599 | 1,600 | 1,600 | CONTRIBUTOR | null | As the project's verbosity level is now at `logging.WARN` this PR removes the now redundant code.
p.s. another change probably is needed to switch from `logging.getLogger()` to the new API
```
grep -Ir getLogger tests examples | wc -l
56
```
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"Sorry, @stas00 I didn't notice that.",
"All is good, it was easy to miss, @Joel-hanson. "
] | 1,599 | 1,600 | 1,600 | CONTRIBUTOR | null | For some reason https://github.com/huggingface/transformers/pull/5512 re-added temp dir creation code that was removed by
https://github.com/huggingface/transformers/pull/6494 in the process undoing what the latter PR did those tests, leading to the temp dir created twice in a row.
I see now that it was an older PR... | {
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"The solution is above, so closing this - as it was a FYI post if someone else runs into this."
] | 1,599 | 1,599 | 1,599 | CONTRIBUTOR | null | In case someone runs into this:
```
PYTHONPATH="src" pytest examples/test_examples.py
ImportError while importing test module '/mnt/nvme1/code/huggingface/transformers-examples/examples/test_examples.py'.
Hint: make sure your test modules/packages have valid Python names. ... | {
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<!-- This line specifies which issue to close after the pull request is merged. -->
Fixes #{issue number}
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https://api.github.com/repos/huggingface/transformers/issues/7096 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7096/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7096/comments | https://api.github.com/repos/huggingface/transformers/issues/7096/events | https://github.com/huggingface/transformers/pull/7096 | 700,419,652 | MDExOlB1bGxSZXF1ZXN0NDg2MDYxMDE2 | 7,096 | Trying to speed up lost speed of tokenizer.encode | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7096?src=pr&el=h1) Report\n> Merging [#7096](https://codecov.io/gh/huggingface/transformers/pull/7096?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/26d5475d4b6644528956df3020dbaa436b443706?el=desc) will **increase... | 1,599 | 1,619 | 1,614 | CONTRIBUTOR | null | Fixes #6962 (at least tries to fix)
@mfuntowicz | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7095?src=pr&el=h1) Report\n> Merging [#7095](https://codecov.io/gh/huggingface/transformers/pull/7095?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/b76cb1c3dfc64d1dcaddc3d6d9313dddeb626d05?el=desc) will **decrease... | 1,599 | 1,600 | 1,600 | CONTRIBUTOR | null | Create model card for Pegasus QA
<!-- This line specifies which issue to close after the pull request is merged. -->
Fixes #{issue number}
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Reported https://discuss.huggingface.co/t/pegasus-questions/838/14
The bug was that I was passing `**cfg_updates` instead of `**cfg_kwargs`. Then I did some extra cleanup to make the code refer to bart less. | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7093?src=pr&el=h1) Report\n> Merging [#7093](https://codecov.io/gh/huggingface/transformers/pull/7093?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/b76cb1c3dfc64d1dcaddc3d6d9313dddeb626d05?el=desc) will **decrease... | 1,599 | 1,599 | 1,599 | CONTRIBUTOR | null | Instead of full config we were only sending updated config dict.
βsshleifer/pegasusβ to βgoogle/pegasus-aeslcβ in Tokenizer
<!-- This line specifies which issue to close after the pull request is merged. -->
Fixes #{issue number}
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"Feel free to PR `examples/seq2seq/scripts/fsmt`, `examples/seq2seq/fsmt_scripts`, or another git repo that you link to from model cards.\r\nI have some bulk marian converters I can check in also.\r\n\r\n",
"Thank you for the suggestions, @sshleifer.\r\n\r\nFor eval scripts I can see some place under `examples`, ... | 1,599 | 1,600 | 1,600 | CONTRIBUTOR | null | # π Feature request
Would it be useful to allocate a sub-dir in the source code for conversion/eval bash scripts? Some of them are quite complex including a bunch of downloads, moving files around, etc. It'd be good to have those in the repo, so that it'd be easy to re-build data if there was a change/mistake/etc.
... | {
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"Hi @xixiaoyao \r\nThe `config` argument is not required for `from_pretrained`, when `config` is not passed it loads the saved config from the model dir. However, it's necessary to pass `config` when you wan't to override some config value, like setting `gradient_checkpointing` to `True`. Here's how you can overri... | 1,599 | 1,606 | 1,606 | NONE | null | # β Questions & Help
I find the model can be loaded with `XXModel.from_pretrained` function even if no `config` argument is given. But if the `config` is given, the argument `gradient_checkpointing` cannot be enabled. I wonder why the config argument can lead to the unable of `gradient_checkpointing`???
I test t... | {
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https://api.github.com/repos/huggingface/transformers/issues/7090 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7090/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7090/comments | https://api.github.com/repos/huggingface/transformers/issues/7090/events | https://github.com/huggingface/transformers/issues/7090 | 700,289,841 | MDU6SXNzdWU3MDAyODk4NDE= | 7,090 | TypeError: __init__() got an unexpected keyword argument 'gradient_checkpointing' | {
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"Hey @xixiaoyao,\r\n\r\nSorry I cannot reproduce the error. Both when running `run_squad.py` and this snippet (which is essentially the same as in `run_squad.py`):\r\n\r\n```python\r\nfrom transformers import AutoModelForQuestionAnswering\r\nmodel = AutoModelForQuestionAnswering.from_pretrained(\"allenai/longformer... | 1,599 | 1,606 | 1,606 | NONE | null | ## Environment info
- `transformers` version: 3.1.0
- Platform: Linux-3.10.0_3-0-0-17-x86_64-with-debian-buster-sid
- Python version: 3.7.7
- PyTorch version (GPU?): 1.6.0 (True)
- Tensorflow version (GPU?): not installed (NA)
- Using GPU in script?: <fill in>
- Using distributed or parallel set-up in s... | {
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https://api.github.com/repos/huggingface/transformers/issues/7088 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7088/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7088/comments | https://api.github.com/repos/huggingface/transformers/issues/7088/events | https://github.com/huggingface/transformers/issues/7088 | 700,227,136 | MDU6SXNzdWU3MDAyMjcxMzY= | 7,088 | train/eval step results log not shown in terminal for tf_trainer.py | {
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"You are user the wrong logger I think. Transformers now uses a centralized logger so you should go:\r\n```\r\nimport transformers\r\ntransformers.logging.set_verbosity_info()\r\n```\r\nto set the verbosity to the INFO level. Not sure it there is an additional issue in tf_trainer or not.",
"> \r\n> \r\n> You are ... | 1,599 | 1,607 | 1,607 | COLLABORATOR | 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: 3.1.0
- Platform: Linux-5.4.0-42-generic-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/7087 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7087/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7087/comments | https://api.github.com/repos/huggingface/transformers/issues/7087/events | https://github.com/huggingface/transformers/pull/7087 | 700,173,107 | MDExOlB1bGxSZXF1ZXN0NDg1ODQ5NTk5 | 7,087 | Transformer-XL: Remove unused parameters | {
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"As far I can see only the test `tests/test_trainer.py` is failing...",
"Hey! We changed the name of `nlp` to `datasets` from Thursday to Friday and I am pretty sure that's what's causing the CI bug, but it was fixed just afterwards. Could you pull the latest changes from master and rebase on your branch so you g... | 1,599 | 1,600 | 1,600 | CONTRIBUTOR | null | Fixes #6943
Since `tgt_len` and `ext_len` is removed, the method `reset_length` was renamed to `reset_memory_length` to be more meaningful.
I'm not sure whether a deprecation warning should be included in `TransfoXLConfig`. Maybe someone can make suggestions regarding this. | {
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https://api.github.com/repos/huggingface/transformers/issues/7086 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7086/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7086/comments | https://api.github.com/repos/huggingface/transformers/issues/7086/events | https://github.com/huggingface/transformers/issues/7086 | 700,138,934 | MDU6SXNzdWU3MDAxMzg5MzQ= | 7,086 | Longformer run error | {
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"i fixed finally",
"> i fixed finally\r\n\r\nWhat was the solution?",
"@Yangxiaojun1230 How to fix it? I meet this problem too.",
"For my case, the problem is due to the miss correct of the length padding"
] | 1,599 | 1,607 | 1,600 | NONE | null | # β 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/7085 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7085/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7085/comments | https://api.github.com/repos/huggingface/transformers/issues/7085/events | https://github.com/huggingface/transformers/issues/7085 | 700,092,309 | MDU6SXNzdWU3MDAwOTIzMDk= | 7,085 | Distilbart's summaries start with an empty space? | {
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"I think i figure it out now. in BART, \" The\", \" Republic\" are individual words.",
"I'm having a similar issue as @songwanguw where each line of my output summaries start with a blank space when using Distilbart. This does not happen when I use facebook/bart-large-cnn.",
"Unfortunately, I don't know any way... | 1,599 | 1,607 | 1,607 | 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: 2.11.0
- Platform: linux
- Python version: 3.7
- PyTorch version (GPU?): 1.51, gpu
- Tensorflow versio... | {
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https://api.github.com/repos/huggingface/transformers/issues/7084 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7084/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7084/comments | https://api.github.com/repos/huggingface/transformers/issues/7084/events | https://github.com/huggingface/transformers/issues/7084 | 700,089,400 | MDU6SXNzdWU3MDAwODk0MDA= | 7,084 | How to implement LayoutLM for information extraction | {
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"I think the model's integration is still a work-in-progress @SandyRSK, but will let model author @liminghao1630 chime in if necessary",
"Similar help required. I want to use the layoutLM model finetuned on DocBank data. As per my understanding, this will be a token classification task, but any example code will ... | 1,599 | 1,612 | 1,610 | NONE | null | Hi,
I am new to nlp
Can someone please guide me on How to implement the layoutLM using transformers for information extraction (from images like receipt)
from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.from_pretrained("microsoft/layoutlm-large-uncased")
model = AutoModel.from_pretrain... | {
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https://api.github.com/repos/huggingface/transformers/issues/7083 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7083/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7083/comments | https://api.github.com/repos/huggingface/transformers/issues/7083/events | https://github.com/huggingface/transformers/pull/7083 | 699,960,602 | MDExOlB1bGxSZXF1ZXN0NDg1NjU1ODU3 | 7,083 | SqueezeBERT architecture | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7083?src=pr&el=h1) Report\n> Merging [#7083](https://codecov.io/gh/huggingface/transformers/pull/7083?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/de4d7b004a24e4bb087eb46d742ea7939bc74644?el=desc) will **increase... | 1,599 | 1,601 | 1,601 | CONTRIBUTOR | null | # Burn-down list:
Here an overview of the general workflow:
- [x] Add model/configuration/tokenization classes.
- [ ] ~~Add conversion scripts.~~ This model was originally developed in PyTorch.
- [x] Add tests and a @slow integration test.
- [x] Document your model.
- [x] Finalize.
Let's detail what shoul... | {
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https://api.github.com/repos/huggingface/transformers/issues/7082 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7082/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7082/comments | https://api.github.com/repos/huggingface/transformers/issues/7082/events | https://github.com/huggingface/transformers/issues/7082 | 699,858,141 | MDU6SXNzdWU2OTk4NTgxNDE= | 7,082 | Longformer output_hidden_states=True outputs sequence length=512 for all inputs of different lengths | {
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"When I use longformer-base-4096, it works well.",
"The reason is that `LongformerModel` pads its input to the `window_size` configuration param, which is 512 for `allenai/longformer-large-4096`. Therefore all `hidden_states` are of length 512. We could think about cutting the hidden states to the actual inputt l... | 1,599 | 1,600 | 1,600 | NONE | null | Can someone explain why cc[2][0].shape != dd[2][0].shape?
>>> from transformers import LongformerModel, RobertaModel
>>> import torch
>>> from transformers import RobertaTokenizer
>>> tokenizer = RobertaTokenizer.from_pretrained('roberta-base')
>>> aa = RobertaModel.from_pretrained('roberta-base', return_dict=Tr... | {
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https://api.github.com/repos/huggingface/transformers/issues/7081 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7081/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7081/comments | https://api.github.com/repos/huggingface/transformers/issues/7081/events | https://github.com/huggingface/transformers/pull/7081 | 699,772,799 | MDExOlB1bGxSZXF1ZXN0NDg1NDgwOTM3 | 7,081 | Clean up autoclass doc | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7081?src=pr&el=h1) Report\n> Merging [#7081](https://codecov.io/gh/huggingface/transformers/pull/7081?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/ae736163d0d7a3a167ff0df3bf6c824437bbba2a?el=desc) will **increase... | 1,599 | 1,600 | 1,600 | COLLABORATOR | null | Clean up and standardize the documentation of the auto classes. | {
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https://api.github.com/repos/huggingface/transformers/issues/7080 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7080/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7080/comments | https://api.github.com/repos/huggingface/transformers/issues/7080/events | https://github.com/huggingface/transformers/issues/7080 | 699,628,017 | MDU6SXNzdWU2OTk2MjgwMTc= | 7,080 | Importing unittests using python unittest framework | {
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"Does the problem go away if you install the latest stable pytorch 1.6.0, see https://pytorch.org/get-started/locally/?\r\n\r\nAlso the test suite uses `pytest` to run the tests - have you tried using it?\r\n\r\n```\r\npytest tests\r\n```\r\nDo you get the same issue running it this way?\r\n\r\nIs it possible that ... | 1,599 | 1,606 | 1,606 | 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: 3.6.9
- PyTorc... | {
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https://api.github.com/repos/huggingface/transformers/issues/7079 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7079/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7079/comments | https://api.github.com/repos/huggingface/transformers/issues/7079/events | https://github.com/huggingface/transformers/pull/7079 | 699,622,252 | MDExOlB1bGxSZXF1ZXN0NDg1MzQ0OTY3 | 7,079 | ignore FutureWarning in tests | {
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"Yes, I agree with this. Thanks @stas00!"
] | 1,599 | 1,600 | 1,600 | CONTRIBUTOR | null | As discussed in https://github.com/huggingface/transformers/pull/7033 we can't deal with transformers' `FutureWarning` in tests, since we have to keep those tests around until they become normal warnings and then the tests will get fixed/adjusted. So currently they just generate noise that can't be acted upon.
The o... | {
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https://api.github.com/repos/huggingface/transformers/issues/7078 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7078/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7078/comments | https://api.github.com/repos/huggingface/transformers/issues/7078/events | https://github.com/huggingface/transformers/pull/7078 | 699,593,492 | MDExOlB1bGxSZXF1ZXN0NDg1MzE5MTM0 | 7,078 | [T5Tokenizer] remove prefix_tokens | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7078?src=pr&el=h1) Report\n> Merging [#7078](https://codecov.io/gh/huggingface/transformers/pull/7078?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/ae736163d0d7a3a167ff0df3bf6c824437bbba2a?el=desc) will **decrease... | 1,599 | 1,599 | 1,599 | MEMBER | null |
Fixes #7077
@sshleifer
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https://api.github.com/repos/huggingface/transformers/issues/7077 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7077/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7077/comments | https://api.github.com/repos/huggingface/transformers/issues/7077/events | https://github.com/huggingface/transformers/issues/7077 | 699,591,347 | MDU6SXNzdWU2OTk1OTEzNDc= | 7,077 | T5Tokenizer shouldn't add pad token as prefix to labels | {
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## Information
`prepare_seq2seq_batch` method in `T5Tokenizer` now prefixes `pad` token to the `labels`. [here](https://github.com/huggingface/transformers/blob/master/src/transformers/tokenization_t5.py#L362)
But in finetune.py [here](https://github.com/huggingface/transformers/blob/master/examples/seq2seq/finetun... | {
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"Done. ",
"- [x] pegasus xsum students\r\n- [x] uploaded distilled pegasus\r\n- [x] re-evaluate updated layerdrop model (te: 23.5291: quickly worsens)\r\n- [x] re-evaluate bart-xsum pseudolabel model(s). "
] | 1,599 | 1,600 | 1,600 | CONTRIBUTOR | null | S3 only fix!
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https://api.github.com/repos/huggingface/transformers/issues/7075 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7075/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7075/comments | https://api.github.com/repos/huggingface/transformers/issues/7075/events | https://github.com/huggingface/transformers/pull/7075 | 699,498,232 | MDExOlB1bGxSZXF1ZXN0NDg1MjMzMTMz | 7,075 | [Benchmarks] Change all args to from `no_...` to their positive form | {
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"Hey @fmcurti - this looks great, thanks a lot for your contribution here!\r\n\r\nIn order to pass the `check_code_quality` test it would be great if you can run `make style` as described in https://github.com/huggingface/transformers/blob/master/CONTRIBUTING.md . \r\nAnd it would be important to make the benchmark... | 1,599 | 1,600 | 1,600 | CONTRIBUTOR | null | Fixes #7072
As @stas00 pointed out a while back, there were a bunch of negative args formulations in `benchmarks.py` which are hard to understand and make the code unnecessarly complex.
This PR fixes this problem by
a) Formulating all args in their positive form
b) Improving their docstring
c) Making the cod... | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7074?src=pr&el=h1) Report\n> Merging [#7074](https://codecov.io/gh/huggingface/transformers/pull/7074?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/e841b75decf5ec9c8829dc1a3c43426ffa9f6907?el=desc) will **increase... | 1,599 | 1,599 | 1,599 | COLLABORATOR | null | Make it easier to write a custom loss by isolating the loss computation in a separate method.
Also document how to write a Trainer using such a custom loss. | {
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- if there is only one attribute not `None`, it wasn't accessible by key (and recognized inside the dictionary)
- if an attribute was set with `model_output.att_name` = ..., the corresponding key in the dictionary was not updated
- if an attribute was set with ... | {
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"Hmm I seem to have forgotten to change the references in the tests"
] | 1,599 | 1,600 | 1,600 | MEMBER | null | # π Feature request
Currently we have a mixture of negative and positive formulated arguments, *e.g.* `no_cuda` and `training` here: https://github.com/huggingface/transformers/blob/0054a48cdd64e7309184a64b399ab2c58d75d4e5/src/transformers/benchmark/benchmark_args_utils.py#L61.
We should change all arguments to... | {
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"This is great, thanks for sharing! \r\n\r\nIn case you have time and want to contribute default sample inputs for Bengali, you can just open a pull request against https://github.com/huggingface/widgets-server/blob/master/DefaultWidget.ts\r\n\r\nYour model page's inference widgets will then display relevant sample... | 1,599 | 1,599 | 1,599 | CONTRIBUTOR | null | Hi,
I added model card for bangla-bert-base model and also modified some typo in other model cards also.
Please check and if possible please merge.
thanks and regards
Sagor
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"Just confirming that the issue happens also for the latest `transformers`, PyTorch and Python 3.8.\r\n\r\n- `transformers` version: 3.1.0\r\n- Platform: Linux-5.4.0-47-generic-x86_64-with-glibc2.10\r\n- Python version: 3.8.5\r\n- PyTorch version (GPU?): 1.6.0 (False)\r\n- Tensorflow version (GPU?): not installed (... | 1,599 | 1,606 | 1,606 | NONE | null | ## Environment info
- `transformers` version: 3.0.2
- Platform: Linux-5.4.0-47-generic-x86_64-with-debian-buster-sid
- Python version: 3.7.3
- PyTorch version (GPU?): 1.5.0 (False)
- Tensorflow version (GPU?): not installed (NA)
- Using GPU in script?: No
- Using distributed or parallel set-up in script?: No
... | {
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https://api.github.com/repos/huggingface/transformers/issues/7069 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7069/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7069/comments | https://api.github.com/repos/huggingface/transformers/issues/7069/events | https://github.com/huggingface/transformers/issues/7069 | 699,095,927 | MDU6SXNzdWU2OTkwOTU5Mjc= | 7,069 | How to use hugging on onw embedding | {
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"Hello @Yangxiaojun1230 ,\r\n\r\nFrom your message I assume you are trying to train a Longformer model using embeddings as the input of the model.\r\n\r\nYou can either use input_ids or inputs_embeds in the forward function of the models. I think your idea will work, please let us know if it does.\r\n\r\nYou can lo... | 1,599 | 1,600 | 1,600 | NONE | null | i already get a embeddingοΌor i have a matrix for input. Then I want to use transformer to train on. For example use LongformerοΌi set input_ids to NoneοΌand set the input on parameter embed_input. Could it be OKοΌ anything else need to take careοΌ I also input the mask. | {
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https://api.github.com/repos/huggingface/transformers/issues/7068 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7068/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7068/comments | https://api.github.com/repos/huggingface/transformers/issues/7068/events | https://github.com/huggingface/transformers/pull/7068 | 698,920,656 | MDExOlB1bGxSZXF1ZXN0NDg0NzE3MjAw | 7,068 | [BertGeneration] Clean naming | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7068?src=pr&el=h1) Report\n> Merging [#7068](https://codecov.io/gh/huggingface/transformers/pull/7068?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/8fcbe486e1592321e868f872545c8fd9d359a515?el=desc) will **decrease... | 1,599 | 1,599 | 1,599 | MEMBER | null | This PR removes all "old" naming of "bert-for-seq-generation" and "BertForSeqGeneration" repectively.
| {
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https://api.github.com/repos/huggingface/transformers/issues/7067 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7067/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7067/comments | https://api.github.com/repos/huggingface/transformers/issues/7067/events | https://github.com/huggingface/transformers/pull/7067 | 698,914,497 | MDExOlB1bGxSZXF1ZXN0NDg0NzExNjcx | 7,067 | Create model card | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7067?src=pr&el=h1) Report\n> Merging [#7067](https://codecov.io/gh/huggingface/transformers/pull/7067?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/8fcbe486e1592321e868f872545c8fd9d359a515?el=desc) will **decrease... | 1,599 | 1,599 | 1,599 | CONTRIBUTOR | null | Create model card for microsoft/layoutlm-large-uncased | {
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https://api.github.com/repos/huggingface/transformers/issues/7066 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7066/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7066/comments | https://api.github.com/repos/huggingface/transformers/issues/7066/events | https://github.com/huggingface/transformers/pull/7066 | 698,912,443 | MDExOlB1bGxSZXF1ZXN0NDg0NzA5ODA1 | 7,066 | Create model card | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7066?src=pr&el=h1) Report\n> Merging [#7066](https://codecov.io/gh/huggingface/transformers/pull/7066?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/8fcbe486e1592321e868f872545c8fd9d359a515?el=desc) will **decrease... | 1,599 | 1,599 | 1,599 | CONTRIBUTOR | null | Create model card for microsoft/layoutlm-base-uncased | {
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https://api.github.com/repos/huggingface/transformers/issues/7065 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7065/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7065/comments | https://api.github.com/repos/huggingface/transformers/issues/7065/events | https://github.com/huggingface/transformers/issues/7065 | 698,879,739 | MDU6SXNzdWU2OTg4Nzk3Mzk= | 7,065 | Further Pretraining of Longformer RAM Consumption | {
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"Hi, there's been some issues with memory in our recent script versions. It is possible that on kaggle you have the very latest version of the scripts, or a way older version of the scripts where the memory issue didn't exist.\r\n\r\nI recommend you use the latest version of the script, as the memory issue is fixed... | 1,599 | 1,601 | 1,601 | NONE | null | Hello everybody,
I'm interested in continued pretraining of the longformer on in-domain text. I'm using the `run_language_modeling.py` script from the examples with the following options.
!python run_language_modeling.py \
--output_dir=$output_dir$ \
--model_type=longformer \
--model_name_or_path=a... | {
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https://api.github.com/repos/huggingface/transformers/issues/7064 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7064/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7064/comments | https://api.github.com/repos/huggingface/transformers/issues/7064/events | https://github.com/huggingface/transformers/pull/7064 | 698,788,254 | MDExOlB1bGxSZXF1ZXN0NDg0NTk5MjE0 | 7,064 | Add LayoutLM Model | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7064?src=pr&el=h1) Report\n> Merging [#7064](https://codecov.io/gh/huggingface/transformers/pull/7064?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/7cbf0f722d23440f3342aafc27697b50ead5996b?el=desc) will **decrease... | 1,599 | 1,600 | 1,600 | CONTRIBUTOR | null | # Introduction
This pull request implements the LayoutLM model, as defined in [the paper](https://arxiv.org/abs/1912.13318):
```
LayoutLM: Pre-training of Text and Layout for Document Image Understanding
Yiheng Xu, Minghao Li, Lei Cui, Shaohan Huang, Furu Wei, Ming Zhou, KDD 2020
```
LayoutLM is a simple but... | {
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https://api.github.com/repos/huggingface/transformers/issues/7063 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7063/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7063/comments | https://api.github.com/repos/huggingface/transformers/issues/7063/events | https://github.com/huggingface/transformers/issues/7063 | 698,733,995 | MDU6SXNzdWU2OTg3MzM5OTU= | 7,063 | EncoderDecoderModel generate function | {
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"Hey @lonelydancer ,\r\n\r\nyeah I think I know why you get this error message. I very recently fixed the error message you get. \r\n1) Could you try to pull from master and run your code again? If I am correct you should now get an error message saying: \r\n\r\n```\r\n\"decoder_start_token_id or bos_token_id has t... | 1,599 | 1,600 | 1,600 | NONE | null | # β 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/7062 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7062/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7062/comments | https://api.github.com/repos/huggingface/transformers/issues/7062/events | https://github.com/huggingface/transformers/issues/7062 | 698,540,127 | MDU6SXNzdWU2OTg1NDAxMjc= | 7,062 | circleci testing issue | {
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"This has been fixed in master already, it's due to the change of name of the nlp library to datasets. You will need to install datasets to have the full test suite working.",
"Thanks, @sgugger . So in order to make my pull request pass the test online, I have to merge remote master intomy local branch and repush... | 1,599 | 1,599 | 1,599 | COLLABORATOR | null | Sorry, this is not a bug report about `transformers` library. But I don't know what's the best place to ask.
While working on a pull request #6998 , after pushing the code, I got
==================================== ERRORS ====================================
____________________ ERROR collecting... | {
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https://api.github.com/repos/huggingface/transformers/issues/7061 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7061/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7061/comments | https://api.github.com/repos/huggingface/transformers/issues/7061/events | https://github.com/huggingface/transformers/pull/7061 | 698,517,969 | MDExOlB1bGxSZXF1ZXN0NDg0MzUyNDk1 | 7,061 | Automate the lists in auto-xxx docs | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7061?src=pr&el=h1) Report\n> Merging [#7061](https://codecov.io/gh/huggingface/transformers/pull/7061?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/0054a48cdd64e7309184a64b399ab2c58d75d4e5?el=desc) will **increase... | 1,599 | 1,599 | 1,599 | COLLABORATOR | null | This PR adds a decorate to automate the creation of the lists in the documentation of `AutoConfig`, `AutoTokenizer`, `AutoModel`.
Apart from adding the docstrings of `AutoModelForMultipleChoice` and removing some parts of some class docstrings (because three lists is a bit too much for one class!) this PR does not f... | {
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"Thank you for your interest. We are doing a few clean-up and will release them shortly. ",
"Waiting for the model too :)\r\n\r\nThanks",
"@tangyuq Is the benchmark included in [Beyond English-Centric Multilingual Machine Translation](https://github.com/pytorch/fairseq/tree/master/examples/m2m_100)?",
"We'll ... | 1,599 | 1,639 | 1,613 | NONE | null | # mBART 50
## Additional languages to the mBART 25 model
The model is described in [Multilingual Translation with Extensible Multilingual Pretraining and Finetuning](https://arxiv.org/pdf/2008.00401.pdf)
## Open source status
* [x] the model implementation is available: [mBART](https://github.com/pytorch/fa... | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7059?src=pr&el=h1) Report\n> Merging [#7059](https://codecov.io/gh/huggingface/transformers/pull/7059?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/77950c485a6f6bcb4db6501bffbbd0cd96c0cd1a?el=desc) will **increase... | 1,599 | 1,599 | 1,599 | CONTRIBUTOR | null | fix for https://github.com/huggingface/transformers/issues/7055#issuecomment-690648438
Fixes: #7055
@sgugger | {
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https://api.github.com/repos/huggingface/transformers/issues/7058 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7058/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7058/comments | https://api.github.com/repos/huggingface/transformers/issues/7058/events | https://github.com/huggingface/transformers/pull/7058 | 698,394,540 | MDExOlB1bGxSZXF1ZXN0NDg0MjQyMTg5 | 7,058 | Document the dependcy on datasets | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7058?src=pr&el=h1) Report\n> Merging [#7058](https://codecov.io/gh/huggingface/transformers/pull/7058?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/514486739cc732ad05549d81bd48c0aa9e03a0f3?el=desc) will **increase... | 1,599 | 1,599 | 1,599 | COLLABORATOR | null | We need the latest version of datasets to run the tests (since Trainer uses it). When datasets is more settled and we don't necessarily need to quickly update it, we can change this to a regular dep in "dev" with a minimal version pinned. | {
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"Closed by this answer: https://github.com/huggingface/transformers/issues/7024#issuecomment-691481436"
] | 1,599 | 1,599 | 1,599 | CONTRIBUTOR | null | This PR is by far not finished. In the current state it is just a demo how I would implement it. See #7024
- loss_function_params is a dict that gets passed to the CrossEntropyLoss constructor
- that way you can set class_weights for the `CrossEntropyLoss ` for example
- this is a very important thing to do when w... | {
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https://api.github.com/repos/huggingface/transformers/issues/7056 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7056/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7056/comments | https://api.github.com/repos/huggingface/transformers/issues/7056/events | https://github.com/huggingface/transformers/pull/7056 | 698,342,187 | MDExOlB1bGxSZXF1ZXN0NDg0MTk1MzE3 | 7,056 | [wip/s2s] DistributedSortishSampler | {
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"Not necessarily the base Trainer, but definitely the `Seq2SeqTrainer` in preparation if you use this sampler often.",
"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7056?src=pr&el=h1) Report\n> Merging [#7056](https://codecov.io/gh/huggingface/transformers/pull/7056?src=pr&el=desc) into [master... | 1,599 | 1,599 | 1,599 | CONTRIBUTOR | null | This allows sortish sampler logic to work on multiple GPU.
The strategy is
1) find the indices that the current rank's data loader should be using (like `DistributedSampler`)
2) reorder those using the `SortishSampler` logic.
### Results
The results on a small MT task are similar to the 1 GPU setting.
+ 2 ... | {
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https://api.github.com/repos/huggingface/transformers/issues/7055 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7055/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7055/comments | https://api.github.com/repos/huggingface/transformers/issues/7055/events | https://github.com/huggingface/transformers/issues/7055 | 698,338,101 | MDU6SXNzdWU2OTgzMzgxMDE= | 7,055 | [testing] test_trainer.py is failing | {
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"So with more look, the issue has to do with multiple GPUs. The problem goes away if I do:\r\n\r\n`CUDA_VISIBLE_DEVICES=\"0\" pytest tests/test_trainer.py`",
"> Looks like those tests need a decorator to run on the CPU only.\r\n\r\nThey work with 1 gpu too, but we don't have such a setup to force 1 gpu?\r\n\r\nTh... | 1,599 | 1,599 | 1,599 | CONTRIBUTOR | null | ```
pytest tests/test_trainer.py
```
```
platform linux -- Python 3.7.9, pytest-6.0.1, py-1.9.0, pluggy-0.13.1
rootdir: /mnt/nvme1/code/huggingface/transformers-master
plugins: xdist-2.1.0, forked-1.3.0
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"cc @patil-suraj @stas00 "
] | 1,599 | 1,602 | 1,602 | CONTRIBUTOR | null | {
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"Hello @jlei2!\r\n\r\nThis issue should be fixed in https://github.com/huggingface/transformers/pull/7022 ",
"Gotcha! Thanks!",
"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",
"Hi ... | 1,599 | 1,611 | 1,611 | NONE | null | ### To reproduce
```
import tensorflow as tf
from transformers import TFBertForQuestionAnswering
tf.keras.mixed_precision.experimental.set_policy('mixed_float16')
model = TFBertForQuestionAnswering.from_pretrained('bert-base-uncased')
```
User will receive warning saying
```
WARNING:tensorflow:Layer activa... | {
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"Hello @akshatapatel!\r\n\r\nPinging @joeddav as he is the person who takes care of the zero-shot classification in the lib.\r\n\r\nCan you share with us a piece of code on how you are trying to do your sequence classification?",
"Question moved to [the forums](https://discuss.huggingface.co/t/new-pipeline-for-ze... | 1,599 | 1,603 | 1,603 | NONE | null | Hi,
I have been running the zero shot classification pipeline for my use case by passing each text and itβs corresponding list of hypotheses labels, however it takes around 3 hours on a 32B GPU to classify ~22000 sentences(each sentence can have a varying number of labels ranging from 70 to 140 labels).
Is there a... | {
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https://api.github.com/repos/huggingface/transformers/issues/7050 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7050/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7050/comments | https://api.github.com/repos/huggingface/transformers/issues/7050/events | https://github.com/huggingface/transformers/pull/7050 | 698,104,941 | MDExOlB1bGxSZXF1ZXN0NDgzOTgxMzg4 | 7,050 | [BertGeneration, Docs] Fix another old name in docs | {
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https://api.github.com/repos/huggingface/transformers/issues/7049 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7049/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7049/comments | https://api.github.com/repos/huggingface/transformers/issues/7049/events | https://github.com/huggingface/transformers/issues/7049 | 698,101,387 | MDU6SXNzdWU2OTgxMDEzODc= | 7,049 | Convert 12-1 and 6-1 en-de models from AllenNLP | {
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"I can work on these\r\n\r\nBut first I have a question: who would be a user of these wmt16-based models when there are several wmt19 en-de models (marian+fairseq wmt) which are significantly better with scores at ~41 and 43 respectively, vs 28 in this one. \r\n\r\nwmt19 is a vastly bigger dataset, so it makes sens... | 1,599 | 1,600 | 1,600 | CONTRIBUTOR | null | https://github.com/jungokasai/deep-shallow#download-trained-deep-shallow-models
+ These should be FSMT models, so can be part of #6940 or done after.
+ They should be uploaded to the AllenNLP namespace. If stas takes this, they can start in stas/ and I will move them.
+ model card(s) should link to the original r... | {
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https://api.github.com/repos/huggingface/transformers/issues/7048 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7048/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7048/comments | https://api.github.com/repos/huggingface/transformers/issues/7048/events | https://github.com/huggingface/transformers/pull/7048 | 698,100,485 | MDExOlB1bGxSZXF1ZXN0NDgzOTc3NDA4 | 7,048 | [BertGeneration] Correct Doc Title | {
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https://api.github.com/repos/huggingface/transformers/issues/7047 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7047/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7047/comments | https://api.github.com/repos/huggingface/transformers/issues/7047/events | https://github.com/huggingface/transformers/issues/7047 | 698,090,038 | MDU6SXNzdWU2OTgwOTAwMzg= | 7,047 | T5-11b model parallelism | {
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"Hey @exelents, \r\n\r\nyes we are still looking into a good way of doing model parallelism. Could you post the error message you received when using #3578? ",
"Here is it\r\n\r\n> -input-22-5591bd8e45c0> in main()\r\n> 143 cache_dir=model_args.cache_dir,\r\n> 144 )\r\n> --> 145 model = model.spread_on_devices(['... | 1,599 | 1,610 | 1,607 | NONE | null | # π Feature request
I would like to finetune t5-11b model on my dataset, but found that it doesn't fit in TPU or GPU memory - colab notebook just crash when I run it.
I tried to find a ready model parallelism solution. First I found this PR:
https://github.com/huggingface/transformers/pull/3578
but it seems it h... | {
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https://api.github.com/repos/huggingface/transformers/issues/7046 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7046/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7046/comments | https://api.github.com/repos/huggingface/transformers/issues/7046/events | https://github.com/huggingface/transformers/issues/7046 | 698,084,660 | MDU6SXNzdWU2OTgwODQ2NjA= | 7,046 | Usage of targets argument in fill-mask pipeline (Pipeline cannot handle mixed args and kwargs) | {
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"Looks like I was using v3.0.2 and this was introduced in v3.1.0"
] | 1,599 | 1,599 | 1,599 | NONE | null | I'm trying to use the `targets` keyword in the fill mask pipeline as described in #6239 but I'm getting a `ValueError: Pipeline cannot handle mixed args and kwargs`
Full example
nlp = pipeline('fill-mask', topk=2)
nlp("The acting was believable and the action was outstanding. The sentiment of this revie... | {
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https://api.github.com/repos/huggingface/transformers/issues/7045 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7045/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7045/comments | https://api.github.com/repos/huggingface/transformers/issues/7045/events | https://github.com/huggingface/transformers/issues/7045 | 698,075,503 | MDU6SXNzdWU2OTgwNzU1MDM= | 7,045 | max_length does not seem to work | {
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"Hey @MarijnQ,\r\n\r\n`max_length` defines the number of maximum output *tokens* (which is usually a bit less than number of words). You can get the number of tokens of a text by doing:\r\n\r\n```python \r\nfrom transformers import T5Tokenizer\r\n\r\ntokenizer = T5Tokenizer.from_pretrained(\"t5-base\")\r\ninput_ids... | 1,599 | 1,599 | 1,599 | NONE | null | So I may have understood the definition wrong, but in my understanding max_length defines the amount of characters you want your summary to be. i.e. max_length=50, the summary is not over 50 characters.
I have installed the transformers, work with the summarizer pipeline, which I assume is the bartsummarizer.
I try... | {
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https://api.github.com/repos/huggingface/transformers/issues/7044 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7044/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7044/comments | https://api.github.com/repos/huggingface/transformers/issues/7044/events | https://github.com/huggingface/transformers/pull/7044 | 698,054,518 | MDExOlB1bGxSZXF1ZXN0NDgzOTM2NjAw | 7,044 | Small fixes in tf template | {
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https://api.github.com/repos/huggingface/transformers/issues/7043 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7043/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7043/comments | https://api.github.com/repos/huggingface/transformers/issues/7043/events | https://github.com/huggingface/transformers/issues/7043 | 697,974,578 | MDU6SXNzdWU2OTc5NzQ1Nzg= | 7,043 | Batch_encode_plus with is_pretokenized=True outputs incomplete input_ids | {
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"I ran this example using the v3.1.0 and it seems the issue was resolved in the latest versions:\r\n\r\n```py\r\nfrom transformers import AutoTokenizer\r\n\r\ntokenizer = AutoTokenizer.from_pretrained('distilbert-base-cased', use_fast=True)\r\ninput_text = ['Roman Atwood is a content creator.', 'The Boston Celtics ... | 1,599 | 1,601 | 1,601 | NONE | null | ## Environment info
- `transformers` version: 2.11.0
- Platform: Linux-4.19.112+-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.6.9
- PyTorch version (GPU?): 1.5.1+cu101 (True)
- Tensorflow version (GPU?): 2.3.0 (True)
- Using GPU in script?: Yes
- Using distributed or parallel set-up in script?: No
##... | {
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https://api.github.com/repos/huggingface/transformers/issues/7042 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7042/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7042/comments | https://api.github.com/repos/huggingface/transformers/issues/7042/events | https://github.com/huggingface/transformers/issues/7042 | 697,960,359 | MDU6SXNzdWU2OTc5NjAzNTk= | 7,042 | the time of loading different models to GPU is nearly the same? | {
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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"
] | 1,599 | 1,605 | 1,605 | NONE | null | I once used the old script for text-classification,the time of loading different models(mode.to_device) to GPU is different,
However, when I run the lastest version of script, I find that loading different models to GPU nearly takes the same time(which is in the process of initing the Trainer)
I want to know the reas... | {
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"> Thanks a lot for this PR!\r\n> \r\n> The files `conll2003.py` and `ud_english_ewt.py` should be in the `nlp` package and not here. Can you open a PR there to propose these new datasets please.\r\n\r\nOk no problem. That makes more sense. \r\n> \r\n> In overrall I really like it! Nevertheless, it brings an import... | 1,599 | 1,606 | 1,606 | CONTRIBUTOR | null | This PR further simplifies token classification examples by introducing the use of HF nlp datasets and metrics.
In summary, we introduce:
- use of GermEval canonical dataset
- two additional local datasets: [Conll2003](https://github.com/vblagoje/transformers/blob/b58c6186fd589ea6f4c86e10df5a54aa63516d10/exampl... | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7039?src=pr&el=h1) Report\n> Merging [#7039](https://codecov.io/gh/huggingface/transformers/pull/7039?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/762cba3bdaf70104dc17cc7ff0f8ce13ba23d558?el=desc) will **not chan... | 1,599 | 1,599 | 1,599 | CONTRIBUTOR | null | <!-- This line specifies which issue to close after the pull request is merged. -->
Fixes #7026
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https://api.github.com/repos/huggingface/transformers/issues/7038 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7038/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7038/comments | https://api.github.com/repos/huggingface/transformers/issues/7038/events | https://github.com/huggingface/transformers/issues/7038 | 697,832,549 | MDU6SXNzdWU2OTc4MzI1NDk= | 7,038 | Question about the test results of my own testsets with a fine-tuned BERT | {
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"I found the cause of the problem. If you want to predict on your own test set, you need to delete the previous \"cached_test_BertTokenizer_128_qqp.lock\" file and \"cached_test_BertTokenizer_128_qqp\" file."
] | 1,599 | 1,599 | 1,599 | NONE | null | # β 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/7037 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7037/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7037/comments | https://api.github.com/repos/huggingface/transformers/issues/7037/events | https://github.com/huggingface/transformers/pull/7037 | 697,657,804 | MDExOlB1bGxSZXF1ZXN0NDgzNTc1OTQ4 | 7,037 | Update eval dataset to pick start_position at first index | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7037?src=pr&el=h1) Report\n> Merging [#7037](https://codecov.io/gh/huggingface/transformers/pull/7037?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/76818cc4c6a1275a23ba261ca337b9f9070c397e?el=desc) will **increase... | 1,599 | 1,599 | 1,599 | NONE | null | <!-- This line specifies which issue to close after the pull request is merged. -->
Fixes #7032
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https://api.github.com/repos/huggingface/transformers/issues/7036 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7036/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7036/comments | https://api.github.com/repos/huggingface/transformers/issues/7036/events | https://github.com/huggingface/transformers/issues/7036 | 697,462,951 | MDU6SXNzdWU2OTc0NjI5NTE= | 7,036 | "You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference" when I am finetuning on distilert pretrained model, After printing this it is taking a lot of time and using only one CPU, how can we parallelized to all the cores in the system ( even I hve 8 GPU's but it is... | {
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"Hi, could you fill in the issue template rather than the issue title?",
"python ./examples/text-classification/run_glue.py \\\r\n --model_name_or_path ./examples/language-modeling/output/SIA_Ontopof_RISK/DistilBERT/Trained_on_iRisk/ \\\r\n --do_train \\\r\n --do_predict \\\r\n --task_name=mrpc \\\r\... | 1,599 | 1,605 | 1,605 | NONE | null | # β 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/7035 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7035/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7035/comments | https://api.github.com/repos/huggingface/transformers/issues/7035/events | https://github.com/huggingface/transformers/pull/7035 | 697,458,607 | MDExOlB1bGxSZXF1ZXN0NDgzNDAxMTYw | 7,035 | add -y to bypass prompt for transformers-cli upload | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7035?src=pr&el=h1) Report\n> Merging [#7035](https://codecov.io/gh/huggingface/transformers/pull/7035?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/76818cc4c6a1275a23ba261ca337b9f9070c397e?el=desc) will **decrease... | 1,599 | 1,599 | 1,599 | CONTRIBUTOR | null | As discussed here: https://github.com/huggingface/transformers/issues/6934#issuecomment-687365960
adding `-y`/`--yes` to bypass prompt for scripting.
<!-- This line specifies which issue to close after the pull request is merged. -->
Fixes #6934
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https://api.github.com/repos/huggingface/transformers/issues/7034 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7034/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7034/comments | https://api.github.com/repos/huggingface/transformers/issues/7034/events | https://github.com/huggingface/transformers/pull/7034 | 697,379,690 | MDExOlB1bGxSZXF1ZXN0NDgzMzI5NTU0 | 7,034 | [xlm tok] config dict: fix str into int to match definition | {
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```
id2lang (:obj:`Dict[int, str`, `optional`):
```
so replacing str with int.
the inverse is correct.
<!-- This line specifies which issue to close after the pull request is merged. -->
Fixes #6734
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https://api.github.com/repos/huggingface/transformers/issues/7033 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7033/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7033/comments | https://api.github.com/repos/huggingface/transformers/issues/7033/events | https://github.com/huggingface/transformers/pull/7033 | 697,375,816 | MDExOlB1bGxSZXF1ZXN0NDgzMzI2MDk1 | 7,033 | fix deprecation warnings | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7033?src=pr&el=h1) Report\n> Merging [#7033](https://codecov.io/gh/huggingface/transformers/pull/7033?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/76818cc4c6a1275a23ba261ca337b9f9070c397e?el=desc) will **increase... | 1,599 | 1,600 | 1,600 | CONTRIBUTOR | null | Fixing:
```
pytest tests/test_tokenization_xlm.py
src/transformers/modeling_tf_utils.py:702
/mnt/nvme1/code/huggingface/transformers-xlm/src/transformers/modeling_tf_utils.py:702: DeprecationWarning:
invalid escape sequence \s
"""
src/transformers/modeling_funnel.py:130
/mnt/nvme1/code/huggingfac... | {
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https://api.github.com/repos/huggingface/transformers/issues/7032 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7032/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7032/comments | https://api.github.com/repos/huggingface/transformers/issues/7032/events | https://github.com/huggingface/transformers/issues/7032 | 697,192,530 | MDU6SXNzdWU2OTcxOTI1MzA= | 7,032 | SQuAD: Implement eval in Trainer-backed run_squad_trainer | {
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"Hi Julien, I would like to contribute. Could you assign me to the issue?",
"Yes, go for it! @sgugger and I (and others) can help if needed",
"Hi there! I missed that there was an already an assignee, but I took a crack at it too.\r\n\r\nI initially tried to pick the most frequent `start_position` βhowever the ... | 1,599 | 1,609 | 1,609 | MEMBER | null | A very good first issue IMO!
See https://github.com/huggingface/transformers/pull/4829#issuecomment-645994130
> we should update the eval dataset to pick one start_position (or the most frequent one)
Optionally, use the `huggingface/nlp` library to get the eval dataset, and hook it into the Trainer.
Also re... | {
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https://api.github.com/repos/huggingface/transformers/issues/7031 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7031/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7031/comments | https://api.github.com/repos/huggingface/transformers/issues/7031/events | https://github.com/huggingface/transformers/issues/7031 | 697,173,785 | MDU6SXNzdWU2OTcxNzM3ODU= | 7,031 | Unable to recreate onnx speedups demonstrated in 04-onnx-export.ipynb on mac or linux | {
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"@erees1,\r\n\r\ntorch.set_num_threads(1) will set OpenMP thread number to 1. That will disable all multiple threading optimizations in ONNX Runtime. \r\n\r\nIt is recommended to set number of threads to align with CPU cores for best performance. If you use ONNX Runtime version >= 1.3, you can try the following in... | 1,599 | 1,600 | 1,600 | 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: 3.1.0
- Platform: Mac OS Mojave + Ubuntu 18.04.4
- Python version: 3.7.7
- PyTorch version (GPU?): 1.6.... | {
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https://api.github.com/repos/huggingface/transformers/issues/7030 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7030/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7030/comments | https://api.github.com/repos/huggingface/transformers/issues/7030/events | https://github.com/huggingface/transformers/pull/7030 | 697,147,638 | MDExOlB1bGxSZXF1ZXN0NDgzMTI4MDQ4 | 7,030 | [s2s] dynamic batch size with --max_tokens_per_batch | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7030?src=pr&el=h1) Report\n> Merging [#7030](https://codecov.io/gh/huggingface/transformers/pull/7030?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/efeab6a3f1eeaffc2cec350ffce797f209ba38f8?el=desc) will **decrease... | 1,599 | 1,600 | 1,600 | CONTRIBUTOR | null | + adds test coverage for `SortishSampler`+`DistributedSortishSampler`.
+ use fancy samplers for validation if specified.
+ dynamic batch sampler is still experimental. Distributed doesn't work, only slightly faster at the moment, and requires a preprocessing step. | {
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https://api.github.com/repos/huggingface/transformers/issues/7029 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7029/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7029/comments | https://api.github.com/repos/huggingface/transformers/issues/7029/events | https://github.com/huggingface/transformers/pull/7029 | 697,129,267 | MDExOlB1bGxSZXF1ZXN0NDgzMTEyNjcw | 7,029 | Add TF Funnel Transformer | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7029?src=pr&el=h1) Report\n> Merging [#7029](https://codecov.io/gh/huggingface/transformers/pull/7029?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/15478c1287a4e7b52c01730ffb0718243d153600?el=desc) will **increase... | 1,599 | 1,599 | 1,599 | COLLABORATOR | null | This adds the TF implementation of the model. Will upload the TF checkpoints as the PR goes under review.
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https://api.github.com/repos/huggingface/transformers/issues/7028 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7028/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7028/comments | https://api.github.com/repos/huggingface/transformers/issues/7028/events | https://github.com/huggingface/transformers/issues/7028 | 696,995,904 | MDU6SXNzdWU2OTY5OTU5MDQ= | 7,028 | No way around "Truncation was not explicitely activated..." error when using SingleSentenceClassificationProcessor. | {
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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"
] | 1,599 | 1,605 | 1,605 | 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: 3.1.0
- 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/7027 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7027/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7027/comments | https://api.github.com/repos/huggingface/transformers/issues/7027/events | https://github.com/huggingface/transformers/issues/7027 | 696,951,053 | MDU6SXNzdWU2OTY5NTEwNTM= | 7,027 | Getting underling S3 URL | {
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"probably @julien-c can help here",
"By default the library actually downloads model weights from `cdn.huggingface.co` so you might want to whitelist that domain.\r\n\r\nFor config files, we do download from S3. You can check the urls in the model pages' file lists e.g. https://huggingface.co/bert-base-multilingu... | 1,599 | 1,607 | 1,607 | NONE | null | # β 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/7026 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7026/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7026/comments | https://api.github.com/repos/huggingface/transformers/issues/7026/events | https://github.com/huggingface/transformers/issues/7026 | 696,943,434 | MDU6SXNzdWU2OTY5NDM0MzQ= | 7,026 | RuntimeError: Expected tensor for argument #1 'indices' to have scalar type Long; but got torch.FloatTensor instead (while checking arguments for embedding) | {
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"@patrickvonplaten , I did find out that the problem arises from `data collator` (`DataCollatorForLanguageModeling`). The returned tensors (tensor of indices to vocab) are not Long, which is creating the problem."
] | 1,599 | 1,599 | 1,599 | 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: 3.1.0
- Platform: Linux-4.19.0-10-amd64-x86_64-with-debian-10.5
- Python version: 3.6.10
- PyTorch vers... | {
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https://api.github.com/repos/huggingface/transformers/issues/7025 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7025/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7025/comments | https://api.github.com/repos/huggingface/transformers/issues/7025/events | https://github.com/huggingface/transformers/issues/7025 | 696,903,717 | MDU6SXNzdWU2OTY5MDM3MTc= | 7,025 | Python | {
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"Hey @smithjadhav, \r\n\r\nThanks for your issue. Given that the whole library is built on Python, I think it would require too much work for us to change to a different programming language and it would probably be better to just start a new github repo."
] | 1,599 | 1,599 | 1,599 | NONE | null | {
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https://api.github.com/repos/huggingface/transformers/issues/7024 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7024/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7024/comments | https://api.github.com/repos/huggingface/transformers/issues/7024/events | https://github.com/huggingface/transformers/issues/7024 | 696,684,075 | MDU6SXNzdWU2OTY2ODQwNzU= | 7,024 | Adding `class_weights` argument for the loss function of transformers model | {
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"This would be a cool addition! This would need to be an attribute added to the configuration, similarly to what is done for `num_labels` or other configuration attributes. You can see the implementation in `PretrainedConfig`, [here](https://github.com/huggingface/transformers/blob/master/src/transformers/configura... | 1,599 | 1,648 | 1,599 | NONE | null | # π Feature request
<!-- A clear and concise description of the feature proposal.
Please provide a link to the paper and code in case they exist. -->
To provide a parameter called `class_weights` while initializing a sequence classification model. The attribute will be used to calculate the weighted loss w... | {
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https://api.github.com/repos/huggingface/transformers/issues/7023 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7023/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7023/comments | https://api.github.com/repos/huggingface/transformers/issues/7023/events | https://github.com/huggingface/transformers/issues/7023 | 696,589,395 | MDU6SXNzdWU2OTY1ODkzOTU= | 7,023 | PreTrained (custom) model not correctly initializing when using AutoModel methods | {
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"Could you set your logging level to `INFO` and show us the results?\r\n\r\nYou can put the following lines above your script:\r\n```py\r\nfrom transformers import logging\r\n\r\nlogging.set_verbosity_info()\r\n```\r\n\r\nIt would really help us debug if you could also put a small script that reproduces the issue, ... | 1,599 | 1,600 | 1,599 | NONE | null | ## Environment info
- `transformers` version: 3.1.0
- Platform: Windows-10-10.0.18362-SP0
- Python version: 3.8.5
- PyTorch version (GPU?): 1.6.0 (True)
- Tensorflow version (GPU?): 2.3.0 (True)
- Using GPU in script?: yes
- Using distributed or parallel set-up in script?: ???
### Who can help
@LysandreJik... | {
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https://api.github.com/repos/huggingface/transformers/issues/7022 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7022/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7022/comments | https://api.github.com/repos/huggingface/transformers/issues/7022/events | https://github.com/huggingface/transformers/pull/7022 | 696,585,735 | MDExOlB1bGxSZXF1ZXN0NDgyNjQ4NjUw | 7,022 | New TF output proposal | {
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"This proposal works for me. It's better to allow graph mode for the \"standard\" way to do things while keeping backwards compatibility imo. Users that want to leverage hidden states/attentions with graph mode should have no problems in doing a custom architecture that does exactly that. \r\n\r\nHowever, as a user... | 1,599 | 1,686 | 1,606 | CONTRIBUTOR | null | Hello!
Currently the TensorFlow have several issues to properly working in graph mode when `output_attentions`, `outout_hidden_states` and `return_dict` takes a boolean tensor (`tf.constant(True/False)`). This is because the graph mode doesn't allows to have an output of different sizes in its conditional branches.
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