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https://api.github.com/repos/huggingface/transformers/issues/6821 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6821/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6821/comments | https://api.github.com/repos/huggingface/transformers/issues/6821/events | https://github.com/huggingface/transformers/issues/6821 | 688,604,891 | MDU6SXNzdWU2ODg2MDQ4OTE= | 6,821 | How to generate on multiple GPUs? | {
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"Hey @moinnadeem,\r\n\r\nSorry to answer so late...yeah this will require some work I think! Will put it in the generate() project, but not sure when we manage to take a deeper look into this. Feel free to open a PR and tag me if you have some good ideas :-) ",
"Just added this to `example/seq2seq/`: https://gith... | 1,598 | 1,707 | 1,622 | NONE | null | Hi!
How would I run generation on multiple GPUs at the same time? Running model.generate on a DataParallel layer isn't possible, and model.module.generate run on a single GPU.
Any advice would be appreciated! | {
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https://api.github.com/repos/huggingface/transformers/issues/6820 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6820/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6820/comments | https://api.github.com/repos/huggingface/transformers/issues/6820/events | https://github.com/huggingface/transformers/issues/6820 | 688,585,634 | MDU6SXNzdWU2ODg1ODU2MzQ= | 6,820 | Bert transformer issue | {
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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"
] | 1,598 | 1,604 | 1,604 | NONE | null | # ❓ Questions & Help
<!-- The GitHub issue tracker is primarly intended for bugs, feature requests,
new models and benchmarks, and migration questions. For all other questions,
we direct you to the Hugging Face forum: https://discuss.huggingface.co/ .
You can also try Stack Overflow (SO) where a wh... | {
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https://api.github.com/repos/huggingface/transformers/issues/6819 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6819/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6819/comments | https://api.github.com/repos/huggingface/transformers/issues/6819/events | https://github.com/huggingface/transformers/issues/6819 | 688,585,408 | MDU6SXNzdWU2ODg1ODU0MDg= | 6,819 | Unable to establish Lock on cached tokenizer output from RobertaTokenizer | {
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"The issue was with the file structur: using the downloaded glue data in the filesystem.",
"@aalok-sathe - Could you please explain how you resolved it ?. I am having the same problem with XLNET for glue(STS-B)",
"I had the data placed in the wrong location, and I was giving the incorrect path."
] | 1,598 | 1,599 | 1,598 | 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-3.10.0-1127.13.1.el7.x86_64-x86_64-with-redhat-7.8-Maipo
- Python version: 3.7.5... | {
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https://api.github.com/repos/huggingface/transformers/issues/6818 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6818/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6818/comments | https://api.github.com/repos/huggingface/transformers/issues/6818/events | https://github.com/huggingface/transformers/pull/6818 | 688,579,819 | MDExOlB1bGxSZXF1ZXN0NDc1ODEwNzQ4 | 6,818 | [tests] fix typos in inputs | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6818?src=pr&el=h1) Report\n> Merging [#6818](https://codecov.io/gh/huggingface/transformers/pull/6818?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/5ab21b072fa2a122da930386381d23f95de06e28?el=desc) will **increase... | 1,598 | 1,598 | 1,598 | CONTRIBUTOR | null | fixes a typo in inputs and the corresponding ids | {
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https://api.github.com/repos/huggingface/transformers/issues/6817 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6817/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6817/comments | https://api.github.com/repos/huggingface/transformers/issues/6817/events | https://github.com/huggingface/transformers/issues/6817 | 688,507,312 | MDU6SXNzdWU2ODg1MDczMTI= | 6,817 | Tensorflow 2 Finetuning TF T5 using keras fit | {
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"@patrickvonplaten , @jplu any insights into what could be the problem?",
"You should create your model into a strategy.",
"> You should create your model into a strategy.\r\n\r\nAs in tf distributed strategies? but i am using a single gpu at the moment. ",
"This one https://www.tensorflow.org/api_docs/pyth... | 1,598 | 1,600 | 1,600 | CONTRIBUTOR | null | ## The Problem
I have been trying to finetune the T5 model model using tensorflow and keras. there is no documentation/ offcial+community or **notebook** for finetuning T5 in tensorflow. There are a bunch of lines [here](https://huggingface.co/transformers/model_doc/t5.html#tft5forconditionalgeneration) and some fin... | {
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https://api.github.com/repos/huggingface/transformers/issues/6816 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6816/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6816/comments | https://api.github.com/repos/huggingface/transformers/issues/6816/events | https://github.com/huggingface/transformers/pull/6816 | 688,459,392 | MDExOlB1bGxSZXF1ZXN0NDc1NzIxMDEy | 6,816 | control framework loglevel in scripts and tests | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6816?src=pr&el=h1) Report\n> Merging [#6816](https://codecov.io/gh/huggingface/transformers/pull/6816?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/367235ee52537ff7cada5e1c5c41cdd78731f092?el=desc) will **increase... | 1,598 | 1,599 | 1,599 | CONTRIBUTOR | null | There is too much logging going on at times under `transformers` and friends. One needs to be able to turn the noise off easily. This is a follow up to https://github.com/huggingface/transformers/issues/3050#issuecomment-682167272
**edit**: The default was changed yesterday to`logging.WARNING` https://github.com/hug... | {
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https://api.github.com/repos/huggingface/transformers/issues/6815 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6815/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6815/comments | https://api.github.com/repos/huggingface/transformers/issues/6815/events | https://github.com/huggingface/transformers/pull/6815 | 688,432,159 | MDExOlB1bGxSZXF1ZXN0NDc1NzAwMzEy | 6,815 | make the tmp dir configurable/persistent in tokenizer tests | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6815?src=pr&el=h1) Report\n> Merging [#6815](https://codecov.io/gh/huggingface/transformers/pull/6815?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/5ab21b072fa2a122da930386381d23f95de06e28?el=desc) will **decrease... | 1,598 | 1,603 | 1,602 | CONTRIBUTOR | null | Currently, debugging tokenizers is difficult since the temp dir is random and it gets wiped out at the end of the test run. It can be done, but it takes so much repetitive work.
This PR uses the recently added [`TestCasePlus`](https://github.com/huggingface/transformers/pull/6494) which automatically sets up temp di... | {
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https://api.github.com/repos/huggingface/transformers/issues/6814 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6814/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6814/comments | https://api.github.com/repos/huggingface/transformers/issues/6814/events | https://github.com/huggingface/transformers/issues/6814 | 688,431,731 | MDU6SXNzdWU2ODg0MzE3MzE= | 6,814 | Create smaller number of heads in attn without pruning using shared parameters | {
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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"
] | 1,598 | 1,604 | 1,604 | NONE | null | # 🚀 Feature request
Instead of prunning heads or masking heads, create new linear layers with views of the larger linear layers that contains all heads.
## Motivation
For various models (Bert, Distilbert, etc.) I would like to be able to experiment on using separate heads without having to prune the heads. Fo... | {
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https://api.github.com/repos/huggingface/transformers/issues/6813 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6813/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6813/comments | https://api.github.com/repos/huggingface/transformers/issues/6813/events | https://github.com/huggingface/transformers/pull/6813 | 688,390,016 | MDExOlB1bGxSZXF1ZXN0NDc1NjY4NzM1 | 6,813 | RAG | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6813?src=pr&el=h1) Report\n> Merging [#6813](https://codecov.io/gh/huggingface/transformers/pull/6813?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/244e1b5ba331cb4c1ed96d88d0895c252567f7f3?el=desc) will **decrease... | 1,598 | 1,600 | 1,600 | CONTRIBUTOR | null | # Intro
This pull request implements a RAG-sequence and a RAG-token models, as defined in [the paper](https://arxiv.org/pdf/2005.11401.pdf).
RAG (for Retrieval Augmented Generation) is an architecture combining a retriever with a generator model. During a forward pass, the input sequence is used as a question to th... | {
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https://api.github.com/repos/huggingface/transformers/issues/6812 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6812/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6812/comments | https://api.github.com/repos/huggingface/transformers/issues/6812/events | https://github.com/huggingface/transformers/issues/6812 | 688,388,520 | MDU6SXNzdWU2ODgzODg1MjA= | 6,812 | Potential bug in PLM training | {
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"I think this is correct. It should be replaced by an `|`. Do you get a better perplexity if you change this line?",
"Thanks a lot for opening this issue @HarshTrivedi ! I also agree that the logic should be OR and not AND. @shngt - can you maybe comment here as well?",
"Thank you for confirming this!\r\n\r\nIf... | 1,598 | 1,619 | 1,610 | CONTRIBUTOR | null | There seems to be a bug in `mask_tokens` method of `DataCollatorForPermutationLanguageModeling`. Based on the comment, [this line](https://github.com/huggingface/transformers/blob/master/src/transformers/data/data_collator.py#L294) is supposed to compute mask for non-functional tokens, ie. anything but padding and spec... | {
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Regression test for #6806
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"Also noticed this! I have convinced myself that it's a scoring difference because the summaries generated are the same between this model and the fairseq implementation.\r\n",
"This might help:\r\nhttps://github.com/google-research/google-research/issues/168\r\nI used pyrogue and R1, R2, RL = 44.32, 21.15, 37.53... | 1,598 | 1,601 | 1,601 | CONTRIBUTOR | null | ## Environment info
### Who can help
BART + Summarization @sshleifer
## Information
Model I am using is BART.
The problem arises when:
verifying accuracy numbers of facebook/bart-large-cnn on CNN+Daily Mail. The paper reports R1, R2, RL of 44.16, 21.28, 40.90 but I can get only 44.05, 21.07, 30.62. I used... | {
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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"
] | 1,598 | 1,605 | 1,605 | CONTRIBUTOR | null | Fixes #6794 #4922 #1339
Added token type embedding support to GPT2Model.
To use `token_type_ids` with `GPT2Model` the user can now supply `type_vocab_size` to the `GPT2Config` constructor and then pass `token_type_ids` as input to the `forward` method as with other models.
Using all the default parameters, the... | {
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"Fixed, will add a check. \r\nAre you running distillation experiments!? FYI that model is not trained.",
"> Are you running distillation experiments!? FYI that model is not trained.\r\n\r\nYes, I know. Reproducing the results, then planning to run a few experiments with it.\r\n\r\nWasn't able to use `--fp16 `, k... | 1,598 | 1,605 | 1,605 | NONE | null | @sshleifer
Unable to read `config.json` for `sshleifer/student_cnn_12_6`
[config.json](https://s3.amazonaws.com/models.huggingface.co/bert/sshleifer/student_cnn_12_6/config.json) Line 64 has a format error :
```
"force_bos_token_to_be_generated", true
}
```
This should be:
```
"force_bos_token_to_be_g... | {
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Added token type embedding support to GPT2Model. | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6804?src=pr&el=h1) Report\n> Merging [#6804](https://codecov.io/gh/huggingface/transformers/pull/6804?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/3cac867fac3f8717b25e3026b97b456a4e748039?el=desc) will **increase... | 1,598 | 1,598 | 1,598 | CONTRIBUTOR | null | cc @ibeltagy who noticed this.
I think it is better to ignore pad_token_id then -100, but this is semi-breaking because old training code might have replaced pad token id with -100 in labels.
Maybe I should check for both? | {
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Fixes #{issue number}
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"Style issue will be solved with merge @sgugger ",
"> Thanks for fixing this! I'd remove the first change in the logs though.\r\n\r\nThanks for the review! Done.",
"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6802?src=pr&el=h1) Report\n> Merging [#6802](https://codecov.io/gh/huggingface/tran... | 1,598 | 1,598 | 1,598 | COLLABORATOR | null | * tensor.item() was being called every step. This must not be done for XLA:TPU tensors as it's terrible for performance causing TPU<>CPU communication at each step. On RoBERTa MLM for example, it reduces step time by 30%, should be larger for smaller step time models/tasks.
* Train batch size was not correct in case a... | {
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https://api.github.com/repos/huggingface/transformers/issues/6800 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6800/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6800/comments | https://api.github.com/repos/huggingface/transformers/issues/6800/events | https://github.com/huggingface/transformers/pull/6800 | 688,210,253 | MDExOlB1bGxSZXF1ZXN0NDc1NTE5MDc4 | 6,800 | t5 model should make decoder_attention_mask | {
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This undoes an aggressive change that was merged in #6654. I should discuss w Patrick first when he returns.
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6799?src=pr&el=h1) Report\n> Merging [#6799](https://codecov.io/gh/huggingface/transformers/pull/6799?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/02d09c8fcc6bda2c345c84cec53289abbe7532ac?el=desc) will **increase... | 1,598 | 1,598 | 1,598 | CONTRIBUTOR | null | - Fix 2 integration tests in examples
- Add new integration test for marian distillation script
- add 2 marian distillation scripts (but dont document them, will do that once they are slightly better).
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Fixes #{issue number}
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1)
```
if torch.cuda.is_available():
testargs += ["--fp16", "--gpus=1"]
with patch.object(sys, "argv", testargs):
> result = run_pl_glue.main()
```
2)
```
examples/seq2seq/test_bash_script.py::test_train_mbart_cc25_enro_script
```
needs ... | {
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"Which tutorial? its called `prepare_seq2seq_batch` now.",
"\"prepare_seq2seq_batch\" works. Thanks a lot.\r\n\r\nI follow this tutorial, https://huggingface.co/transformers/model_doc/marian.html\r\n\r\nWhere can I find the new user manual for MarianMT model? Thank you.\r\n",
"https://huggingface.co/transformer... | 1,598 | 1,637 | 1,598 | NONE | null | Problem 1:
When I load tokenizer from local directory. And use it according MarianMT tutorial. There will be an error occurs.
AttributeError: 'MarianTokenizer' object has no attribute 'prepare_translation_batch'
Problem 2:
When I downloads models and tokenizers from the web, such as running 'tokenizer = AutoTok... | {
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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"
] | 1,598 | 1,604 | 1,604 | NONE | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: 3.0.2
in script：https://github.com/huggingface/transformers/blob/master/examples/question-answering/run... | {
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] | 1,598 | 1,604 | 1,604 | CONTRIBUTOR | null | The issues #4922 and #1339 have been closed, but bug is still present in the `GPT2Model` code resulting in unexpected behaviour as described in #4922 .
I am trying to use token_type_ids to annotate different languages being input to a multilingual model. I am using my own tokenization code which outputs token_type_i... | {
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Fixes #{issue number}
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"Fixed by #6858 "
] | 1,598 | 1,599 | 1,599 | NONE | null | # 🚀 Feature request
DIstilBert model donesn't support f16 or mixed precision training.
The hard-coded uses of float32 from the tensorflow implementation of BERT and ELECTRA has been fixed by #3320 .
The same problem in DistilBert needs a fix.
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6791?src=pr&el=h1) Report\n> Merging [#6791](https://codecov.io/gh/huggingface/transformers/pull/6791?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/930153e7d2d658267b7630a047a4bfc85b86042d?el=desc) will **increase... | 1,598 | 1,611 | 1,599 | CONTRIBUTOR | null | <!-- This line specifies which issue to close after the pull request is merged. -->
Currently wandb logging does not work with Ray Tune, as each process tries to call `wandb.log` without initializing wandb first.
This PR fixes this by wrapping the objective in Ray Tune's `wandb_mixin`, which makes sure each trial i... | {
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https://api.github.com/repos/huggingface/transformers/issues/6790 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6790/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6790/comments | https://api.github.com/repos/huggingface/transformers/issues/6790/events | https://github.com/huggingface/transformers/issues/6790 | 687,934,087 | MDU6SXNzdWU2ODc5MzQwODc= | 6,790 | What is the size of the context window in the 'openai-gpt' pre-trained model? | {
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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"
] | 1,598 | 1,604 | 1,604 | NONE | null | What is the size of the context window in the 'openai-gpt' pre-trained model?
# ❓ 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://... | {
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https://api.github.com/repos/huggingface/transformers/issues/6789 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6789/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6789/comments | https://api.github.com/repos/huggingface/transformers/issues/6789/events | https://github.com/huggingface/transformers/issues/6789 | 687,914,174 | MDU6SXNzdWU2ODc5MTQxNzQ= | 6,789 | How to fine-tune T5 with some additional special tokens ? | {
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"Let's say the tokens you want to add are <some_token_1> and <some_token_2> (including angle brackets)\r\n```\r\nfrom transformers import T5Tokenizer\r\ntokenizer = T5Tokenizer.from_pretrained(\"t5-base\")\r\ntokenizer.add_tokens(['<some_token_1>', '<some_token_2'>])\r\n```",
"I want to add this line in addition ... | 1,598 | 1,621 | 1,598 | NONE | null | I wanna to fine-tune T5 with seq2seq task, but there are some special tokens in this seq2seq task. T5 performs bad without these tokens. How could I use some additional special tokens to fine-tune T5 with scripts https://github.com/huggingface/transformers/blob/master/examples/seq2seq/finetune_t5.sh?
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https://api.github.com/repos/huggingface/transformers/issues/6788 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6788/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6788/comments | https://api.github.com/repos/huggingface/transformers/issues/6788/events | https://github.com/huggingface/transformers/pull/6788 | 687,839,705 | MDExOlB1bGxSZXF1ZXN0NDc1MjA4MzYx | 6,788 | Update multilingual passage rereanking model card | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6788?src=pr&el=h1) Report\n> Merging [#6788](https://codecov.io/gh/huggingface/transformers/pull/6788?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/930153e7d2d658267b7630a047a4bfc85b86042d?el=desc) will **decrease... | 1,598 | 1,598 | 1,598 | CONTRIBUTOR | null | Fix range of possible score, add inference .
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https://api.github.com/repos/huggingface/transformers/issues/6787 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6787/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6787/comments | https://api.github.com/repos/huggingface/transformers/issues/6787/events | https://github.com/huggingface/transformers/issues/6787 | 687,703,139 | MDU6SXNzdWU2ODc3MDMxMzk= | 6,787 | Dear transformers team, how could I use bert to NER task? | {
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"Hi,\r\n\r\nHave a look at the following script from Huggingface:\r\n\r\nhttps://github.com/huggingface/transformers/blob/master/examples/token-classification/run_ner.py\r\n\r\nIt shows how you can finetune a pretrained BERT-model for NER.\r\nRemember to take a look at the utility code as well, since this is the co... | 1,598 | 1,606 | 1,606 | NONE | null |
# ❓ Questions & Help
<!-- The GitHub issue tracker is primarly intended for bugs, feature requests,
new models and benchmarks, and migration questions. For all other questions,
we direct you to the Hugging Face forum: https://discuss.huggingface.co/ .
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"When I add torch.manual_seed(0) at the beginning the outputs will be the same.\r\ndoes the model from tf pretrained has some randomization when loading the model weights?",
"Hmm, there sholud always be the same. Could you add your script to a google colab that allows to run your checkpoint, so that we can debug?... | 1,598 | 1,663 | 1,610 | NONE | null | # ❓ Questions & Help
<!-- The GitHub issue tracker is primarly intended for bugs, feature requests,
new models and benchmarks, and migration questions. For all other questions,
we direct you to the Hugging Face forum: https://discuss.huggingface.co/ .
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https://api.github.com/repos/huggingface/transformers/issues/6785 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6785/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6785/comments | https://api.github.com/repos/huggingface/transformers/issues/6785/events | https://github.com/huggingface/transformers/issues/6785 | 687,688,475 | MDU6SXNzdWU2ODc2ODg0NzU= | 6,785 | [help] Add multigpu evalulation script for seq2seq | {
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At the end the command,
```
cd examples/seq2seq
export DATA_DIR=test_data # use wmt_en_ro for more data, download instructions in README.md
export save_dir=translations
python multigpu_eval.py Helsinki-NLP/opus-mt-en-ro $DATA_DIR/test.source $save_dir/test_translations.txt --reference_path $DATA_DIR/tes... | {
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https://api.github.com/repos/huggingface/transformers/issues/6784 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6784/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6784/comments | https://api.github.com/repos/huggingface/transformers/issues/6784/events | https://github.com/huggingface/transformers/pull/6784 | 687,683,827 | MDExOlB1bGxSZXF1ZXN0NDc1MDY2MjMy | 6,784 | [style] set the minimal required version for `black` | {
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https://api.github.com/repos/huggingface/transformers/issues/6783 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6783/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6783/comments | https://api.github.com/repos/huggingface/transformers/issues/6783/events | https://github.com/huggingface/transformers/issues/6783 | 687,667,415 | MDU6SXNzdWU2ODc2Njc0MTU= | 6,783 | Why does examples/seq2seq/finetune.py only use sortish sampler for train? | {
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"@sshleifer I can help out here. What exactly are you looking for?",
"I'll take care of it actually, sorry! There is a harder one at #6785 if you're interested.",
"Fixed, using sortish sampler for val. Much faster!"
] | 1,598 | 1,600 | 1,600 | CONTRIBUTOR | null | Would it make eval faster?
Would it make validation sanity check obnoxiously slow?
This should be a ~1 line PR with a longer PR description.
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https://api.github.com/repos/huggingface/transformers/issues/6782 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6782/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6782/comments | https://api.github.com/repos/huggingface/transformers/issues/6782/events | https://github.com/huggingface/transformers/pull/6782 | 687,655,916 | MDExOlB1bGxSZXF1ZXN0NDc1MDQzNzQ0 | 6,782 | [style] a new `black` version is out there (20.8) | {
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"weird, I thought I had a newer version, but it was old for some reason. updating to `pip install black==20.8b1` resolved this."
] | 1,598 | 1,598 | 1,598 | CONTRIBUTOR | null | it now seems to respect `--line-length 119` in the `make style/quality` command
so a big reformat - no code change
These are just the changes after running `make style`.
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"Good catch, thanks a lot! We will fix it ASAP.",
"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"
] | 1,598 | 1,605 | 1,605 | NONE | null | end_pos will be overwritten in some case
https://github.com/huggingface/transformers/blob/858b7d5873577d7997918439eb7429d424d07dd5/src/transformers/modeling_tf_bert.py#L1422 | {
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https://api.github.com/repos/huggingface/transformers/issues/6780 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6780/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6780/comments | https://api.github.com/repos/huggingface/transformers/issues/6780/events | https://github.com/huggingface/transformers/issues/6780 | 687,633,167 | MDU6SXNzdWU2ODc2MzMxNjc= | 6,780 | How can I get rid of this message every time I run GPT2? | {
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] | 1,598 | 1,604 | 1,604 | NONE | null | ```
Some weights of GPT2LMHeadModel were not initialized from the model checkpoint at gpt2 and are newly initialized: ['h.0.attn.masked_bias', 'h.1.attn.masked_bias', 'h.2.attn.masked_bias', 'h.3.attn.masked_bias', 'h.4.attn.masked_bias', 'h.5.attn.masked_bias', 'h.6.attn.masked_bias', 'h.7.attn.masked_bias', 'h.8.att... | {
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https://api.github.com/repos/huggingface/transformers/issues/6779 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6779/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6779/comments | https://api.github.com/repos/huggingface/transformers/issues/6779/events | https://github.com/huggingface/transformers/issues/6779 | 687,603,968 | MDU6SXNzdWU2ODc2MDM5Njg= | 6,779 | Character-level tokenization? | {
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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"
] | 1,598 | 1,604 | 1,604 | NONE | null | # ❓ Questions & Help
In a project I'm using the Hugging Face library for, I would like to use transformers to perform arithmetic (framed as a text-to-text problem). However, it seems that the current method of tokenization adopted by most existing models in the Hugging Face library (BPE, WordPiece, etc.) are not cha... | {
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https://api.github.com/repos/huggingface/transformers/issues/6778 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6778/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6778/comments | https://api.github.com/repos/huggingface/transformers/issues/6778/events | https://github.com/huggingface/transformers/issues/6778 | 687,602,106 | MDU6SXNzdWU2ODc2MDIxMDY= | 6,778 | Bertology-like Analysis for BART, T5? | {
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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"
] | 1,598 | 1,604 | 1,604 | NONE | null | # ❓ Questions & Help
In my current project, I am working on training encoder-decoder models (BART, T5, etc.) and the Transformers library has been absolutely invaluable! After seeing several Bertology analyses (i.e. looking at the information the model's attention mechanism learns to attend to), I would like to know... | {
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https://api.github.com/repos/huggingface/transformers/issues/6777 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6777/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6777/comments | https://api.github.com/repos/huggingface/transformers/issues/6777/events | https://github.com/huggingface/transformers/pull/6777 | 687,594,144 | MDExOlB1bGxSZXF1ZXN0NDc0OTkzNDY1 | 6,777 | [transformers-cli] fix logger getter | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6777?src=pr&el=h1) Report\n> Merging [#6777](https://codecov.io/gh/huggingface/transformers/pull/6777?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/42fddacd1cac3cc57c3326aa51a409f5090b1261?el=desc) will **increase... | 1,598 | 1,598 | 1,598 | CONTRIBUTOR | null | `transformers-cli` is currently broken:
```
File "src/transformers/commands/transformers_cli.py", line 8, in <module>
from transformers.commands.serving import ServeCommand
File "/mnt/nvme1/code/huggingface/transformers-master/src/transformers/commands/serving.py", line 28, in <module>
logger = logging... | {
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https://api.github.com/repos/huggingface/transformers/issues/6776 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6776/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6776/comments | https://api.github.com/repos/huggingface/transformers/issues/6776/events | https://github.com/huggingface/transformers/pull/6776 | 687,586,161 | MDExOlB1bGxSZXF1ZXN0NDc0OTg3Mjk0 | 6,776 | PL: --adafactor option | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6776?src=pr&el=h1) Report\n> Merging [#6776](https://codecov.io/gh/huggingface/transformers/pull/6776?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/42fddacd1cac3cc57c3326aa51a409f5090b1261?el=desc) will **decrease... | 1,598 | 1,598 | 1,598 | CONTRIBUTOR | null | CC @moscow25, @patil-suraj
I used the "External LR" setup and verified that is saves a significant amount of memory on pegasus finetuning.
Happy to add to Trainer.
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https://api.github.com/repos/huggingface/transformers/issues/6775 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6775/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6775/comments | https://api.github.com/repos/huggingface/transformers/issues/6775/events | https://github.com/huggingface/transformers/pull/6775 | 687,570,506 | MDExOlB1bGxSZXF1ZXN0NDc0OTc0MjI1 | 6,775 | Support fast tokenizer in Question Answering Pipeline | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6775?src=pr&el=h1) Report\n> Merging [#6775](https://codecov.io/gh/huggingface/transformers/pull/6775?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/42fddacd1cac3cc57c3326aa51a409f5090b1261?el=desc) will **increase... | 1,598 | 1,605 | 1,605 | CONTRIBUTOR | null | <!-- This line specifies which issue to close after the pull request is merged. -->
Fixes #6545
The problem is that the behavior of the python tokenizer and the rust based fast tokenizer is very different.
The python tokenizer handles cases where inputs are in different formats (str tokens and int tokens and vice... | {
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"Done!\r\n```python\r\n# Config values that vary between checkpoints: for testing and conversion\r\ntask_specific_params = {\r\n # These are task specific params for pegasus-large and normal params for finetuned checkpoints\r\n \"summarization_xsum\": {\"length_penalty\": 0.8, \"max_length\": 64, \"max_positi... | 1,598 | 1,598 | 1,598 | CONTRIBUTOR | null | ```
'task_specific_params': {'summ_xsum': {'max_length': 56, 'length_penalty': 0.8}}}
``` | {
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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"
] | 1,598 | 1,604 | 1,604 | CONTRIBUTOR | null | ## Environment info
- `transformers` version: 3.0.2
- Platform: Windows-10-10.0.19041-SP0
- Python version: 3.8.3
- 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 script?: <fill in>
### Who can ... | {
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"Answered in #6752"
] | 1,598 | 1,598 | 1,598 | NONE | null | @patil-suraj @joeddav
Is there some other way to install master version of transformers?
I tried using the URL to install the master version but it installed v3.0.2
_Originally posted by @AnkitVarshney02 in https://github.com/huggingface/transformers/issues/6752#issuecomment-681716615_ | {
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"This looks super interesting @jlei2 ! I openen a PR #6877 to see if changing to EinusmDense speeds up the runtime...In the PR I cannot see an improvement - could you take a look and maybe comment on how you changed the TF Bert code in transformers to benchmark your changes? :-) ",
"Hi Patrick, thank you for taki... | 1,598 | 1,611 | 1,611 | NONE | null | I benchmarked the Bert model exported from Huggingface TF Bert code and observed that it is much slower than Google's TF2 Bert model(https://github.com/tensorflow/models/tree/master/official/nlp/bert) on TF Serving (GPU device). When batch_size=1, Huggingface Bert model can be more than 200% slower than Google's one. H... | {
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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"
] | 1,598 | 1,604 | 1,604 | NONE | null | I have been working with parts of SNLI dataset, even after hours and hours of pretraining the model always gives 33.24 percent accuracy no matter the amount of the data used in pretraining. This issue is fixed if I revert my transformers version to 2.11.0 | {
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"Command for running `finetune_trainer.py`\r\n\r\n```bash\r\npython finetune_trainer.py \\\r\n --model_name_or_path sshleifer/bart-tiny-random \\\r\n --data_dir xsum \\\r\n --output_dir test \\\r\n --overwrite_output_dir \\\r\n --n_train 8 \\\r\n --n_val 8 \\\r\n --max_source_length 512 \\\r\n --max_target_... | 1,598 | 1,601 | 1,600 | MEMBER | null | This PR adds `Seq2SeqTrainer` to use `Trainer` for summarization, translation and other seq2seq tasks.
`Seq2SeqTrainer` includes:
- label smoothing loss
- sortish sampler
- predict from generate to allow calculating generative metrics
`finetune_trainer.py` includes:
- `Seq2SeqDataCollator` to correctly prepar... | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6768?src=pr&el=h1) Report\n> Merging [#6768](https://codecov.io/gh/huggingface/transformers/pull/6768?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/42fddacd1cac3cc57c3326aa51a409f5090b1261?el=desc) will **increase... | 1,598 | 1,599 | 1,599 | CONTRIBUTOR | null | First of two PRs to implement #4847 :
- logging loss vs floating-point operations
- using the results for scaling laws analysis
This directly logs floating-point operations in wandb and comet, and creates a `log_history.json` file with training metrics. To do so, it adds methods to `PretrainedModel` to count p... | {
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"Hi! What are you using to launch your ditributed training? What script are you using? Could you show the command you used, and could you paste your environment information as required by the template? Thank you.",
"## Environment info\r\n- `transformers` version: 2.11.0\r\n- Platform: Databricks\r\n- Python vers... | 1,598 | 1,604 | 1,604 | NONE | null | Even if CUDA detects all the GPU of the machine, there is no distributed training :
`RuntimeError: CUDA out of memory. Tried to allocate 3.82 GiB (GPU 0; 11.17 GiB total capacity; 7.59 GiB already allocated; 594.31 MiB free; 10.28 GiB reserved in total by PyTorch) (malloc at /pytorch/c10/cuda/CUDACachingAllocator.c... | {
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"Any idea why there is one failed test case ?\r\nI have checked the code on the notebook and it runs without any issue on Colab.",
"This seems completely unrelated, just relaunched the failed test.",
"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6764?src=pr&el=h1) Report\n> Merging [#6764](ht... | 1,598 | 1,603 | 1,598 | CONTRIBUTOR | null | This is a model card for our ProtBert:
https://huggingface.co/Rostlab/prot_bert | {
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"Same issue when running distilbart",
"I face the same issue with PEGASUS",
"I've run into this with several seq2seq models (Pegasus, BART, T5). Ironically, running with fp16 causes increased GPU memory usage.",
"I solved my issue by downgrading Pytorch to 1.5.1 and installing Nvidia/Apex. ",
"This issue ha... | 1,598 | 1,607 | 1,607 | NONE | null | # ❓ Questions & Help
I have error when run train with fp16
<!-- 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 al... | {
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"Yes! This is something we'll build, step by step. I'll post more about our roadmap for this in the coming weeks.",
"> Yes! This is something we'll build, step by step. I'll post more about our roadmap for this in the coming weeks.\r\n\r\nMaybe you can create a web-based interface with input fields/drop downs tha... | 1,598 | 1,614 | 1,614 | CONTRIBUTOR | null | # 🚀 Feature request
I want to propose a checklist for model hub. Model hub is increasingly being used by `transformers` users. It is imperative that users exactly know what model they are downloading and importing for transparency and research-related reasons. It should be mandatory for users to upload a `REAME.md`... | {
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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"
] | 1,598 | 1,604 | 1,604 | NONE | null | Hi,
This might be a very dumb question to ask, but is there a way that we can have differentiable search and pickings in the "generate" method in models like T5 and GPT-2? If not, is there an example of using the pure real-valued model output in a task? Or an article giving some intuition on what the real-valued outpu... | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6759?src=pr&el=h1) Report\n> Merging [#6759](https://codecov.io/gh/huggingface/transformers/pull/6759?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/434936f34a8b3154a79564c87f4cb50f5d57e050?el=desc) will **increase... | 1,598 | 1,598 | 1,598 | CONTRIBUTOR | null | - Created a model card for a fine tuned model.
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6758?src=pr&el=h1) Report\n> Merging [#6758](https://codecov.io/gh/huggingface/transformers/pull/6758?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/a75c64d80c76c3dc71f735d9197a4a601847e0cd?el=desc) will **decrease... | 1,598 | 1,598 | 1,598 | CONTRIBUTOR | null | mimics a nice t5 feature | {
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Fixes #{issue number}
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6756?src=pr&el=h1) Report\n> Merging [#6756](https://codecov.io/gh/huggingface/transformers/pull/6756?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/61b9ed80742f564dc522783a33bf001d6d871a2c?el=desc) will **increase... | 1,598 | 1,598 | 1,598 | CONTRIBUTOR | null | BART model should be among the set that doesn't use `token_type_ids`. | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6755?src=pr&el=h1) Report\n> Merging [#6755](https://codecov.io/gh/huggingface/transformers/pull/6755?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/61b9ed80742f564dc522783a33bf001d6d871a2c?el=desc) will **decrease... | 1,598 | 1,598 | 1,598 | CONTRIBUTOR | null | {
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To reproduce, pip install from source without the editable `-e` flag.
```
>>> from transformers import pipeline
...
~/.virtualenvs/transformers/lib/python3.7/site-pack... | {
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"I encountered similar problems of freeing GPU memory while implementing the benchmark tools. A trick that worked for me was to wrap the function into a multi-process. Maybe you can take a look at this implementation and change your code accordingly so that the model is run in a subprocess: \r\nhttps://github.com/h... | 1,598 | 1,695 | 1,598 | 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:
- Python version: 3.6.7
- PyTorch version (GPU?): 1.4.0
- Tensorflow version (GPU?)... | {
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"The problem with the current `master` is that I have the following error\r\n\r\n`ModuleNotFoundError: No module named 'transformers.utils'`\r\n\r\n `version 3.0.2` does not include Pegasus.\r\n\r\nCan anyone suggest to us the latest stable version of master (not release `version 3.0.2`)? So we will be able to run ... | 1,598 | 1,598 | 1,598 | NONE | null | I want to run Pegasus Model for which master version of transformers is required but I am unable install it.
I tried installing with pip command but it always install version 3.0.2.
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"Any update on this if this will be taken up by the team?",
"I think this is already done right? seen that we have this https://github.com/huggingface/transformers/tree/master/model_cards/pvl/labse_bert",
"The model uploaded by @pvl mentioned by @aalloul performs the wrong pooling, i.e., embeddings produced by... | 1,598 | 1,610 | 1,610 | NONE | null | # 🌟 New model addition
## Model description
Google released a new model LaBSe, which is a Language agnostic Bert sentence embedding with 109 language support.
https://ai.googleblog.com/2020/08/language-agnostic-bert-sentence.html?utm_source=Deep+Learning+Weekly&utm_campaign=cdb8afedb7-EMAIL_CAMPAIGN_2019_04_24... | {
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"## System Info\r\nDebian 10\r\nPytorch: 1.6.0\r\nTransformers: 3.0.2\r\nPython: 3.7.8\r\nPretrained Model: AlbertPreTrainedModel (albert-base-v2)\r\nPretrained Tokenizer: AlbertTokenizer (albert-base-v2)\r\n\r\n## Question\r\nI'm getting the same error, but when trying to evaluate the model after training.\r\n```p... | 1,598 | 1,637 | 1,614 | NONE | null | ## System Info
Pop!_OS 20.04
Pytorch: 1.5.1
Transformers: 3.0.2
Tokenizers: 0.8.1rc1
Python: 3.7.6
Pretrained Model: GPT2
Pretrained Tokenizer: GPT2
## Question
I'm getting the following error when I try to evaluate a model while it's training:
```python
wandb: Waiting for W&B process to finish, PID 242876... | {
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"When the model receives inputs that include the labels, it's supposed to produce a tuple of (loss, predictions), where the loss is a scalar. The trainer then uses the loss to calculate the gradients. In this case (or at least in my case when I get a similar error) the trainer appears to be trying to use the predic... | 1,598 | 1,603 | 1,603 | NONE | null | ## System Info
Pop!_OS 20.04
Pytorch: 1.5.1
Transformers: 3.0.2
Tokenizers: 0.8.1rc1
Python: 3.7.6
Pretrained Model: GPT2
Pretrained Tokenizer: GPT2
## Question
I'm getting the following error and I'm not sure how to resolve it:
```python
Some weights of GPT2LMHeadModel were not initialized from the model ... | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6748?src=pr&el=h1) Report\n> Merging [#6748](https://codecov.io/gh/huggingface/transformers/pull/6748?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/a75c64d80c76c3dc71f735d9197a4a601847e0cd?el=desc) will **decrease... | 1,598 | 1,598 | 1,598 | CONTRIBUTOR | null | Goal: Prevent dependencies from causing transformers CI to be in style violation without transformers code changing.
Tested:
all isort 5.4 versions, all flake 3.8 versions work identically well. changing black at all causes bad results. I pinned to the tested range.
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- default to saving metrics to `metrics.json`
- cleanup: delete some dead code.
- save seconds_per_sample, runtime, num_samples
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6744?src=pr&el=h1) Report\n> Merging [#6744](https://codecov.io/gh/huggingface/transformers/pull/6744?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/42fddacd1cac3cc57c3326aa51a409f5090b1261?el=desc) will **increase... | 1,598 | 1,599 | 1,599 | MEMBER | null | This PR adds `Text2TextGenerationPipeline`, as discussed here #4411
<!-- This line specifies which issue to close after the pull request is merged. -->
Fixes #4411
@patrickvonplaten , @LysandreJik
cc @enzoampil :))
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"This should help: https://github.com/huggingface/transformers/issues/5096#issuecomment-645860271",
"@sshleifer - think this is the 3rd issue about Bart pre-training -> maybe it would be a good idea to release a small notebook at some point.",
"@patil-suraj you took a stab at this at some point? [this](https://... | 1,598 | 1,659 | 1,659 | NONE | null | # ❓ Questions & Help
How can I run BART pre-training?
I have data to pre-training(Masked LM) | {
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"Hey @SuHe36,\r\n\r\nI'm currently working on adding support for batched generation. At the moment, this is the best answer we can give you: https://github.com/huggingface/transformers/issues/3021#issuecomment-591236688",
"Thanks for your reply !",
"Hey, @patrickvonplaten is batch generation available for T5con... | 1,598 | 1,608 | 1,608 | NONE | null | After I finetune GPT-2, I want to use it to generate sentences in batches instead of one by one.
So I tried to modify the code of `examples/text-generation/run_generation.py`.
the code on line 239 in `run_generation.py` is:
`encoded_prompt = tokenizer.encode(prompt_text, add_special_tokens=False, return_tensor... | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6741?src=pr&el=h1) Report\n> Merging [#6741](https://codecov.io/gh/huggingface/transformers/pull/6741?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/64c7c2bc158364ff5c53dce2f19698078b2f9d78?el=desc) will **decrease... | 1,598 | 1,598 | 1,598 | CONTRIBUTOR | null | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6740?src=pr&el=h1) Report\n> Merging [#6740](https://codecov.io/gh/huggingface/transformers/pull/6740?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/64c7c2bc158364ff5c53dce2f19698078b2f9d78?el=desc) will **decrease... | 1,598 | 1,700 | 1,598 | MEMBER | null | <!-- This line specifies which issue to close after the pull request is merged. -->
Fixes #6714
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6739?src=pr&el=h1) Report\n> Merging [#6739](https://codecov.io/gh/huggingface/transformers/pull/6739?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/64c7c2bc158364ff5c53dce2f19698078b2f9d78?el=desc) will **decrease... | 1,598 | 1,614 | 1,614 | NONE | null | Added support of convert BertForQuestionAnswering pytorch model to tensorflow like below file
https://github.com/huggingface/transformers/blob/master/src/transformers/convert_bert_pytorch_checkpoint_to_original_tf.py
I made new file convert_BertForQuestionAnswering_pytorch_checkpoint_to_tf.py | {
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"Hey @Krak91,\r\n\r\nThanks for this issue. The PR attached to this issue should fix it. \r\nNote that even though the new example code will work for Reformer, it won't yield any good results because there is no pretrained ReformerModel yet."
] | 1,598 | 1,599 | 1,599 | NONE | null | In the code example in the documentation the tokenizer gets passed just a single string. Doesn't it need a context and a question? Also, how exactly to get the answer? | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6737?src=pr&el=h1) Report\n> Merging [#6737](https://codecov.io/gh/huggingface/transformers/pull/6737?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/22933e661fe789874ef58b13d3a9bb2554ba5891?el=desc) will **decrease... | 1,598 | 1,598 | 1,598 | CONTRIBUTOR | null | Improves formatting in seq2seq readme and adds download instructions for wmt-en-de and cnn_dm_v2 (cleaned cnn_dm without empty examples). | {
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* Don't run through decoder when using hidden states only, improves efficiency | {
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https://api.github.com/repos/huggingface/transformers/issues/6735 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6735/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6735/comments | https://api.github.com/repos/huggingface/transformers/issues/6735/events | https://github.com/huggingface/transformers/pull/6735 | 685,878,456 | MDExOlB1bGxSZXF1ZXN0NDczNTQxMzQ0 | 6,735 | [Generate] Facilitate PyTorch generate using `ModelOutputs` | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6735?src=pr&el=h1) Report\n> Merging [#6735](https://codecov.io/gh/huggingface/transformers/pull/6735?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/a32d85f0d405be53117b96075eef2875d2185892?el=desc) will **decrease... | 1,598 | 1,598 | 1,598 | MEMBER | null | This PR:
- forces to use `return_dict=True` for generation in PyTorch. This should not lead to any problem because .generate() cannot be used to compute gradients
- The handling of `encoder_outputs` is simplified for Bart, T5 and the Encoder. Previously, there was an ugly hack that forces the second position of the... | {
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"Not sure if the suggested rewrite to remove all those numbers is desirable - perhaps it's important to see those numbers, so I left it alone and just fixed the keys of `id2lang` to be int.\r\n\r\nhttps://github.com/huggingface/transformers/pull/7034"
] | 1,598 | 1,599 | 1,599 | CONTRIBUTOR | null | In https://github.com/huggingface/transformers/blob/master/src/transformers/tokenization_xlm.py#L78 we have:
```
"id2lang": {"0": "de", "1": "en"},
"lang2id": {"de": 0, "en": 1},
```
and then:
```
lang2id (:obj:`Dict[str, int]`, `optional`, defaults to :obj:`None`):
Dictionar... | {
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https://api.github.com/repos/huggingface/transformers/issues/6733 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6733/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6733/comments | https://api.github.com/repos/huggingface/transformers/issues/6733/events | https://github.com/huggingface/transformers/pull/6733 | 685,816,358 | MDExOlB1bGxSZXF1ZXN0NDczNDg1ODM1 | 6,733 | grad checkpoint for T5 model -- and lots of debug not yet removed | {
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"This issue has been automatically marked as stale and been closed because it has not had recent activity. Thank you for your contributions.\n\nIf you think this still needs to be addressed please comment on this thread."
] | 1,598 | 1,614 | 1,614 | CONTRIBUTOR | null | @sshleifer here is my grad checkpointing code -- albeit with too much debug info and some FP16 stuff also not deleted.
- all FP16 needs to be off -- else the model does not converge
- with grad checkpoint as hacked now (for every "T5 Stack") -- T5-Large runs with training batch 32
- still unable to train T5-3B eve... | {
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] | 1,598 | 1,604 | 1,604 | NONE | null | # ❓ Questions & Help
The documetation for TFRobertaForSequenceClassification lacks a description for the `labels` parameter. That is not the case for RobertaForSequenceClassification. The parameters actually exists for the TF version and the documentation causes a little confusion. Not sure where to post this in the f... | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6728?src=pr&el=h1) Report\n> Merging [#6728](https://codecov.io/gh/huggingface/transformers/pull/6728?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/e11d923bfc61ed640bc7e696549578361126485e?el=desc) will **decrease... | 1,598 | 1,598 | 1,598 | COLLABORATOR | null | {
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https://api.github.com/repos/huggingface/transformers/issues/6727 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6727/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6727/comments | https://api.github.com/repos/huggingface/transformers/issues/6727/events | https://github.com/huggingface/transformers/pull/6727 | 685,688,426 | MDExOlB1bGxSZXF1ZXN0NDczMzczNTU2 | 6,727 | added model card for codeswitch-spaeng-sentiment-analysis-lince | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6727?src=pr&el=h1) Report\n> Merging [#6727](https://codecov.io/gh/huggingface/transformers/pull/6727?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/7e6397a7d8e7433aa4c4cafba98e08e5c73f087c?el=desc) will **decrease... | 1,598 | 1,598 | 1,598 | CONTRIBUTOR | null | Hi,
I added model card for `codeswitch-spaeng-sentiment-analysis-lince` and also update other model cards.
Please review and if possible please merge.
thanks and regards
Sagor
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https://api.github.com/repos/huggingface/transformers/issues/6726 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6726/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6726/comments | https://api.github.com/repos/huggingface/transformers/issues/6726/events | https://github.com/huggingface/transformers/pull/6726 | 685,673,644 | MDExOlB1bGxSZXF1ZXN0NDczMzYxNTUx | 6,726 | Fix pegasus-xsum integration test | {
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Fixes #6705
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https://api.github.com/repos/huggingface/transformers/issues/6725 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6725/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6725/comments | https://api.github.com/repos/huggingface/transformers/issues/6725/events | https://github.com/huggingface/transformers/issues/6725 | 685,657,037 | MDU6SXNzdWU2ODU2NTcwMzc= | 6,725 | Dataset Lazyloader for transformers trainer | {
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"As far as I can see there is currently no dataloader functionality to lazy load data into memory. \r\nIt should not be very hard to implement such a feature yourself, I think, see https://discuss.pytorch.org/t/loading-huge-data-functionality/346/2 .\r\nAlso cc @lhoestq @sgugger @thomwolf - Are we planning on provi... | 1,598 | 1,599 | 1,599 | CONTRIBUTOR | null | # 🚀 Feature request
Currently, train/fine-tune models using transformers trainer loads the whole dataset in memory.
This could work for small datasets, but with large datasets the training will crash.
Code:
https://github.com/huggingface/transformers/blob/master/examples/language-modeling/run_language_modeling... | {
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https://api.github.com/repos/huggingface/transformers/issues/6724 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6724/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6724/comments | https://api.github.com/repos/huggingface/transformers/issues/6724/events | https://github.com/huggingface/transformers/pull/6724 | 685,640,233 | MDExOlB1bGxSZXF1ZXN0NDczMzM0MDUz | 6,724 | create ProtBert-BFD model card. | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6724?src=pr&el=h1) Report\n> Merging [#6724](https://codecov.io/gh/huggingface/transformers/pull/6724?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/074340339a6d6aede30c14c94ffe7b59a01786f1?el=desc) will **decrease... | 1,598 | 1,598 | 1,598 | CONTRIBUTOR | null | This is a model card for our ProtBert-BFD :
https://huggingface.co/Rostlab/prot_bert_bfd
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https://api.github.com/repos/huggingface/transformers/issues/6723 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6723/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6723/comments | https://api.github.com/repos/huggingface/transformers/issues/6723/events | https://github.com/huggingface/transformers/pull/6723 | 685,615,085 | MDExOlB1bGxSZXF1ZXN0NDczMzEzMzcy | 6,723 | add xlm-roberta-large-xnli model card | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6723?src=pr&el=h1) Report\n> Merging [#6723](https://codecov.io/gh/huggingface/transformers/pull/6723?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/a25c9fc8e14f3e8914116e6142af2a9589dc8e63?el=desc) will **decrease... | 1,598 | 1,602 | 1,598 | CONTRIBUTOR | null | {
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https://api.github.com/repos/huggingface/transformers/issues/6722 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6722/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6722/comments | https://api.github.com/repos/huggingface/transformers/issues/6722/events | https://github.com/huggingface/transformers/pull/6722 | 685,601,960 | MDExOlB1bGxSZXF1ZXN0NDczMzAyNDY1 | 6,722 | Add AdaFactor optimizer from fairseq | {
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"Hey @sshleifer -- here is belated PR for AdaFactor. Please let me know how to edit this properly, and what tests or examples we should add. Thanks!",
"We will integrate into examples/ in a separate PR I think.",
"Thanks @sshleifer -- let me try to make those changes. \r\n\r\nAgree that I should be able to add ... | 1,598 | 1,598 | 1,598 | CONTRIBUTOR | null | Tested for T5 finetuning and MLM -- reduced memory consumption compared to ADAM.
<!-- This line specifies which issue to close after the pull request is merged. -->
Fixes #1256
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