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https://api.github.com/repos/huggingface/transformers/issues/7421 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7421/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7421/comments | https://api.github.com/repos/huggingface/transformers/issues/7421/events | https://github.com/huggingface/transformers/issues/7421 | 710,102,458 | MDU6SXNzdWU3MTAxMDI0NTg= | 7,421 | "Sequence Classification with IMDb Reviews " error, when using "bert-base-multilingual-cased" model. | {
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"It looks like you are using a model for language modeling (`AutoModelWithLMHead`) instead of a model for sequence classification (`AutoModelForSequenceClassification`) which is why you have that shape error.",
"@sgugger thank you!\r\nI modify my code, then everything well.\r\n```\r\n# coding:utf-8\r\n\"\"\"\r\n\... | 1,601 | 1,601 | 1,601 | 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:macos
- Python version:3.6
- PyTorch version (GPU?):CPU
- Tensorflow version (GPU?):C... | {
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https://api.github.com/repos/huggingface/transformers/issues/7420 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7420/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7420/comments | https://api.github.com/repos/huggingface/transformers/issues/7420/events | https://github.com/huggingface/transformers/pull/7420 | 710,086,584 | MDExOlB1bGxSZXF1ZXN0NDkzOTk5MDI1 | 7,420 | [RAG] Model cards - clean cards | {
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https://api.github.com/repos/huggingface/transformers/issues/7419 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7419/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7419/comments | https://api.github.com/repos/huggingface/transformers/issues/7419/events | https://github.com/huggingface/transformers/issues/7419 | 709,987,840 | MDU6SXNzdWU3MDk5ODc4NDA= | 7,419 | Cannot reproduce example token classification GermEval 2014 (German NER) dataset | {
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"I find that after deleting the cache, the results can be reproduced. I guess that is because in my first attempt, I used the wrong arguments setting, and something is cached. Then although I fixed the setting later, the code alway loads from the wrong cache. "
] | 1,601 | 1,601 | 1,601 | 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: 3.2.0
- Platform: Linux-4.4.0-131-generic-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.6.8
- Py... | {
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https://api.github.com/repos/huggingface/transformers/issues/7418 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7418/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7418/comments | https://api.github.com/repos/huggingface/transformers/issues/7418/events | https://github.com/huggingface/transformers/pull/7418 | 709,945,429 | MDExOlB1bGxSZXF1ZXN0NDkzODgwNTg1 | 7,418 | Blenderbot | {
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"I don't really understand why we don't completely separate Blenderbot from Bart here. I thought we kind of agreed on not adding any if statements to existing models (also if it's only one) to make them work with new models.\r\n\r\nWith @sgugger's recent PRs that completely separate model files from each other (Rob... | 1,601 | 1,613 | 1,602 | CONTRIBUTOR | null | Continued from https://github.com/huggingface/transformers/pull/4803
Co-authored by @mariamabarham
New models: `facebook/blenderbot-3B` and `facebook/blenderbot-90M`.
They produce similar, but not always identical outputs to their facebook counterparts, with the differences due to length penalty implementation... | {
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https://api.github.com/repos/huggingface/transformers/issues/7417 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7417/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7417/comments | https://api.github.com/repos/huggingface/transformers/issues/7417/events | https://github.com/huggingface/transformers/issues/7417 | 709,940,207 | MDU6SXNzdWU3MDk5NDAyMDc= | 7,417 | Add adapter support | {
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"That'd be great!",
"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",
"Just voicing my support of this too. Not sure yet if adapter-hub will end up having the resources to merge back i... | 1,601 | 1,614 | 1,607 | NONE | null | # 🚀 Feature request
Add [adapter](https://arxiv.org/abs/1902.00751) support to transformers.
## Motivation
Adapters are great time-and-memory-savers for multitask use cases and would be a great addition to this library. Some very kind folks added support for them ([AdapterHub](https://adapterhub.ml/)) on top ... | {
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https://api.github.com/repos/huggingface/transformers/issues/7416 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7416/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7416/comments | https://api.github.com/repos/huggingface/transformers/issues/7416/events | https://github.com/huggingface/transformers/issues/7416 | 709,857,672 | MDU6SXNzdWU3MDk4NTc2NzI= | 7,416 | Possible error in MBart Tokenization script -- target lang code is only present in seq once | {
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"Note: I did find (https://github.com/pytorch/fairseq/issues/2258), a related issue.\r\n\r\nAs far as I can tell, the behavior there (attempting to zero-shot translate without the model having translated before, and merely getting the input as output regardless of language ID in target), is expected behavior (some ... | 1,601 | 1,602 | 1,602 | NONE | null | ## Environment info
- `transformers` version: current
- Platform: Linux-4.19.112+-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.6.9
- PyTorch version (GPU?): 1.6.0+cu101 (False)
- Using GPU in script?: No.
- Using distributed or parallel set-up in script?: No.
### Who can help
MBart: @sshleifer
## I... | {
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https://api.github.com/repos/huggingface/transformers/issues/7415 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7415/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7415/comments | https://api.github.com/repos/huggingface/transformers/issues/7415/events | https://github.com/huggingface/transformers/issues/7415 | 709,796,948 | MDU6SXNzdWU3MDk3OTY5NDg= | 7,415 | Colab pro -fine RoBERTa error tcmalloc: large alloc 6325288960 | {
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"Got the same with StyleGAN using Colab Pro",
"What is your data size? First, try it with 2GB of data. Also check again by decreasing the GPU batch size to 8 or 4.",
"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... | 1,601 | 1,619 | 1,619 | NONE | null | I want to fine-tune RoBERTa on my newspaper data (around 8GB) using Colab pro. It works fine on small data. I have given my codes below. Are my codes correct? **Is there any way to handle this memory problem**? The error crushes the colab.
tcmalloc: large alloc 6325288960 bytes == 0x447fa000 @ 0x7f3438dcc1e7 0x592... | {
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https://api.github.com/repos/huggingface/transformers/issues/7414 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7414/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7414/comments | https://api.github.com/repos/huggingface/transformers/issues/7414/events | https://github.com/huggingface/transformers/issues/7414 | 709,769,902 | MDU6SXNzdWU3MDk3Njk5MDI= | 7,414 | GPT2LMHeadModel forward input | {
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"Hello! Your question would get more answers if you asked it over at https://discuss.huggingface.co, which are the forums for broad questions like this one. 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 y... | 1,601 | 1,607 | 1,607 | NONE | null | # ❓ Questions & Help
Hello,
I would like to fine-tune the GPT2 model on EmpatheticDialogues doing kind of conditional generation as like in this paper: https://arxiv.org/pdf/1911.11161.pdf
What concerns me is the format of the input_ids and labels in the forward function.
I think that concatenating the input with t... | {
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https://api.github.com/repos/huggingface/transformers/issues/7413 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7413/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7413/comments | https://api.github.com/repos/huggingface/transformers/issues/7413/events | https://github.com/huggingface/transformers/pull/7413 | 709,765,489 | MDExOlB1bGxSZXF1ZXN0NDkzNzQwMzI2 | 7,413 | [RAG] Clean Rag readme in examples | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7413?src=pr&el=h1) Report\n> Merging [#7413](https://codecov.io/gh/huggingface/transformers/pull/7413?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/e50a931c118b9f55f77a743bf703f436bf7a7c29?el=desc) will **decrease... | 1,601 | 1,601 | 1,601 | CONTRIBUTOR | null | Improving RAG README.
Additionally I'm adding a script creating a standalone RAG checkpoint from a generator and a question encoder checkpoints.
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https://api.github.com/repos/huggingface/transformers/issues/7412 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7412/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7412/comments | https://api.github.com/repos/huggingface/transformers/issues/7412/events | https://github.com/huggingface/transformers/issues/7412 | 709,749,506 | MDU6SXNzdWU3MDk3NDk1MDY= | 7,412 | Unable to load pipeline for question answering | {
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"Hello! Do you have internet access in the environment where your script is run? Can you do the following:\r\n\r\n```py\r\nfrom transformers import DistilBertModel\r\n\r\nmodel = DistilBertModel.from_pretrained(\"distilbert-base-cased\")\r\n```\r\n?",
"Sorry my bad.\r\nInternet was off.\r\nIt is working fine.\r\n... | 1,601 | 1,601 | 1,601 | 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-4.19.112+-x86_64-with-debian-buster-sid
- Python version: 3.7.6
- PyTorch vers... | {
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https://api.github.com/repos/huggingface/transformers/issues/7411 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7411/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7411/comments | https://api.github.com/repos/huggingface/transformers/issues/7411/events | https://github.com/huggingface/transformers/issues/7411 | 709,635,467 | MDU6SXNzdWU3MDk2MzU0Njc= | 7,411 | Error: isTensor() INTERNAL ASSERT FAILED from traced RoBERTa model on iOS using LibTorch | {
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"Ack! The error was actually in my Obj-C++ code, which had `auto outputTensor = _impl.forward({tensor}).toTensor();`... that will have to become `auto outputTuple = _impl.forward({tensor}).toTuple();`. Apologies for the spam, but hopefully this helps someone else some day. I found the hint here: https://github.com/... | 1,601 | 1,607 | 1,607 | NONE | null | I've exported RoBERTa from a traced model for running on iOS using LibTorch and I'm getting this error when running prediction in the app: `isTensor() INTERNAL ASSERT FAILED at /Users/distiller/project/aten/src/ATen/core/ivalue_inl.h:86, please report a bug to PyTorch. Expected Tensor but got Tuple (toTensor at /Users/... | {
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https://api.github.com/repos/huggingface/transformers/issues/7410 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7410/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7410/comments | https://api.github.com/repos/huggingface/transformers/issues/7410/events | https://github.com/huggingface/transformers/pull/7410 | 709,621,880 | MDExOlB1bGxSZXF1ZXN0NDkzNjM1NzMy | 7,410 | [s2s] rougeLSum expects \n between sentences | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7410?src=pr&el=h1) Report\n> Merging [#7410](https://codecov.io/gh/huggingface/transformers/pull/7410?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/eab5f59682cf197cd5fd19d499b3670dbef67000?el=desc) will **decrease... | 1,601 | 1,601 | 1,601 | CONTRIBUTOR | null | <!-- This line specifies which issue to close after the pull request is merged. -->
Fixes #6808
Continues #7356 from @swethmandava
Coauthor: @swethmandava
+ `add_newline_sep` kwarg controls whether to add newlines between sentences
+ test coverage
+ can pass bootstrap=False to see raw scores, make scoring dete... | {
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https://api.github.com/repos/huggingface/transformers/issues/7409 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7409/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7409/comments | https://api.github.com/repos/huggingface/transformers/issues/7409/events | https://github.com/huggingface/transformers/pull/7409 | 709,589,908 | MDExOlB1bGxSZXF1ZXN0NDkzNjEzNTY2 | 7,409 | [T5] allow config.decoder_layers to control decoder size | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7409?src=pr&el=h1) Report\n> Merging [#7409](https://codecov.io/gh/huggingface/transformers/pull/7409?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/2c8ecdf8a87019c438262d8c692e1bdffe05149f?el=desc) will **decrease... | 1,601 | 1,601 | 1,601 | CONTRIBUTOR | null | <!-- This line specifies which issue to close after the pull request is merged. -->
#### Problem
arxiv.org/abs/2006.10369, among others, shows that models with fewer decoder layers than encoder layers can perform well and run generation much faster. Right now it is difficult to do distillation on t5 because there is ... | {
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https://api.github.com/repos/huggingface/transformers/issues/7408 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7408/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7408/comments | https://api.github.com/repos/huggingface/transformers/issues/7408/events | https://github.com/huggingface/transformers/issues/7408 | 709,582,299 | MDU6SXNzdWU3MDk1ODIyOTk= | 7,408 | Allow creation of asymmetrical T5 | {
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https://api.github.com/repos/huggingface/transformers/issues/7407 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7407/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7407/comments | https://api.github.com/repos/huggingface/transformers/issues/7407/events | https://github.com/huggingface/transformers/issues/7407 | 709,545,205 | MDU6SXNzdWU3MDk1NDUyMDU= | 7,407 | How to train a model based on CTRL | {
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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"
] | 1,601 | 1,607 | 1,607 | NONE | null | # ❓ Questions & Help
I am wondering how to train A Conditional Transformer Language Model for Controllable Generation (CTRL)?
Thanks
<!-- The GitHub issue tracker is primarly intended for bugs, feature requests,
new models and benchmarks, and migration questions. For all other questions,
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https://api.github.com/repos/huggingface/transformers/issues/7406 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7406/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7406/comments | https://api.github.com/repos/huggingface/transformers/issues/7406/events | https://github.com/huggingface/transformers/issues/7406 | 709,523,009 | MDU6SXNzdWU3MDk1MjMwMDk= | 7,406 | Bert base chinese model gives error :- EagerTensor object has no attribute 'size' | {
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"You are mixing the Pytorch and tf API. You should have \"return_tensors=\"pt\"\" if you use PyTorch or use TFAutoModel for TensorFlow.",
"@esp32wrangler is correct!"
] | 1,601 | 1,602 | 1,602 | 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: 3.2.0
- Platform:
- Python version: 3.7
- PyTorch version (GPU?):
- Tensorflow version (GPU?): 3.2.1
... | {
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https://api.github.com/repos/huggingface/transformers/issues/7405 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7405/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7405/comments | https://api.github.com/repos/huggingface/transformers/issues/7405/events | https://github.com/huggingface/transformers/pull/7405 | 709,417,863 | MDExOlB1bGxSZXF1ZXN0NDkzNDgxNzI3 | 7,405 | Add summarization support to ONNX conversion | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7405?src=pr&el=h1) Report\n> Merging [#7405](https://codecov.io/gh/huggingface/transformers/pull/7405?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/e50a931c118b9f55f77a743bf703f436bf7a7c29?el=desc) will **decrease... | 1,601 | 1,608 | 1,608 | NONE | null | <!-- This line specifies which issue to close after the pull request is merged. -->
Fixes #7404
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https://api.github.com/repos/huggingface/transformers/issues/7404 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7404/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7404/comments | https://api.github.com/repos/huggingface/transformers/issues/7404/events | https://github.com/huggingface/transformers/issues/7404 | 709,300,069 | MDU6SXNzdWU3MDkzMDAwNjk= | 7,404 | Add support for exporting summarization models to ONNX | {
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"I just realized that the triu operation was fixed recently, sorry about that. I will create a PR to add summarization to the ONNX conversion script.",
"@sagarreddypatil Did you need to make any other changes to get summarization working with ONNX Runtime? It only appears to work for text with five tokens for me,... | 1,601 | 1,626 | 1,626 | NONE | null | # 🚀 Feature request
Add support for exporting summarization models to ONNX.
## Motivation
I want to serve summarization models on edge, through an ONNX runtime. However, I am unable to convert facebook/bart-large-cnn(using class BartModelForConditionalGeneration) to ONNX as the provided script doesn't support t... | {
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https://api.github.com/repos/huggingface/transformers/issues/7403 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7403/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7403/comments | https://api.github.com/repos/huggingface/transformers/issues/7403/events | https://github.com/huggingface/transformers/pull/7403 | 709,228,630 | MDExOlB1bGxSZXF1ZXN0NDkzMzI3NzY0 | 7,403 | [makefile] 10x speed up checking/fixing | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7403?src=pr&el=h1) Report\n> Merging [#7403](https://codecov.io/gh/huggingface/transformers/pull/7403?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/e50a931c118b9f55f77a743bf703f436bf7a7c29?el=desc) will **increase... | 1,601 | 1,601 | 1,601 | CONTRIBUTOR | null | I present to you an updated `fixup` target which is now super-fast, as it only fixes and validates files that were modified since the branching point, which usually is ~5 out of ~1000. Whoah! Give it a try:
```
make fixup
```
Because of the start up overhead and the 2 customs scripts aren't optimized yet (to chec... | {
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https://api.github.com/repos/huggingface/transformers/issues/7402 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7402/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7402/comments | https://api.github.com/repos/huggingface/transformers/issues/7402/events | https://github.com/huggingface/transformers/issues/7402 | 709,207,896 | MDU6SXNzdWU3MDkyMDc4OTY= | 7,402 | Tokenizers as an optional dependency | {
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"Sounds reasonable, but – if you're at liberty to share – and out of curiosity, would also like to know why you can't install Rust-built native deps",
"Thanks for the quick response. Rust is generally fine – what's causing issues is specifically the `pyo3` crate, which has a somewhat involved build script which d... | 1,601 | 1,603 | 1,603 | NONE | null | # 🚀 Feature request
<!-- A clear and concise description of the feature proposal.
Please provide a link to the paper and code in case they exist. -->
Would it be possible to make `tokenizers` an optional dependency? I see this was already attempted here by @thomwolf: https://github.com/huggingface/transfor... | {
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https://api.github.com/repos/huggingface/transformers/issues/7401 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7401/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7401/comments | https://api.github.com/repos/huggingface/transformers/issues/7401/events | https://github.com/huggingface/transformers/pull/7401 | 709,207,225 | MDExOlB1bGxSZXF1ZXN0NDkzMzA5NzI3 | 7,401 | Catch PyTorch warning when saving/loading scheduler | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7401?src=pr&el=h1) Report\n> Merging [#7401](https://codecov.io/gh/huggingface/transformers/pull/7401?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/e50a931c118b9f55f77a743bf703f436bf7a7c29?el=desc) will **increase... | 1,601 | 1,602 | 1,601 | COLLABORATOR | null | When saving or loading the scheduler, PyTorch **always** sends a warning to save/load the optimizer state as well (with a typo). We are saving/loading the optimizer state along the scheduler but there is no way to tell that to PyTorch and avoid the annoying warning (and its typo).
This PR fixes that by catching all ... | {
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https://api.github.com/repos/huggingface/transformers/issues/7400 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7400/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7400/comments | https://api.github.com/repos/huggingface/transformers/issues/7400/events | https://github.com/huggingface/transformers/pull/7400 | 709,204,292 | MDExOlB1bGxSZXF1ZXN0NDkzMzA3Mjc4 | 7,400 | remove codecov PR comments | {
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"The page is nice but the data seems wrong -- \r\nhttps://codecov.io/gh/huggingface/transformers/src/master/src/transformers/modeling_layoutlm.py\r\nsays that `__init__` is not covered, but I checked and it is.. in `test_modeling_layoutlm.py`.\r\n\r\nI can also just disable PR comments if that works better for you.... | 1,601 | 1,601 | 1,601 | CONTRIBUTOR | null |
#### Problem
+ @stas00 has tried very hard to get codecov working to no avail in https://github.com/huggingface/transformers/issues/6317
+ Files that are not affected by a PR show changes in coverage.
+ Codecoverage information is rarely/never useful
+ lots of distracting spam emails
+ lots of vertical space t... | {
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https://api.github.com/repos/huggingface/transformers/issues/7399 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7399/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7399/comments | https://api.github.com/repos/huggingface/transformers/issues/7399/events | https://github.com/huggingface/transformers/pull/7399 | 709,148,607 | MDExOlB1bGxSZXF1ZXN0NDkzMjU3NTY4 | 7,399 | [Rag] fix rag retriever save_pretrained method | {
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https://api.github.com/repos/huggingface/transformers/issues/7398 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7398/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7398/comments | https://api.github.com/repos/huggingface/transformers/issues/7398/events | https://github.com/huggingface/transformers/issues/7398 | 709,128,731 | MDU6SXNzdWU3MDkxMjg3MzE= | 7,398 | Uploading/Sharing large models to HuggingFace | {
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"There is no limit to the file sizes on the model hub, however, for uploads that large and if your connection is even slightly unstable, it can indeed fail.\r\n\r\nIf you have another host (S3 bucket or whatever) you can upload the file to, I can handle `cp`ing it to your namespace on huggingface.co",
"Actually I... | 1,601 | 1,601 | 1,601 | NONE | null | Hi,
I am trying to upload a `t5-3b` based model to HuggingFace. The folder to upload has 11G.
When I am uploading, it will gives `'Connection aborted.', BrokenPipeError(32, 'Broken pipe')`.
Does it because the model is too large and there is a limitation? How could I deal with that?
Thank you for your help! | {
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"Hey @jsilter - yes we could definitely add a `DistilForCausalLM` model. I think instead of doing something similar to `BertGeneration` it would be easier to just add a `DistilBertForCausalLM` to `modeling_distilbert.py` similar to `BertLMHeadModel` or `RobertaForCausalLM`. This could actually be an interesting `Go... | 1,601 | 1,610 | null | NONE | null | # 🚀 Feature request
I noticed the new `BertGeneration` class, which uses BERT-style models as both encoder and decoder, as well as the more general `EncoderDecoder` class. This is all great stuff! It would also be great to be able to use distilled models. I believe this is possible for the encoder, but for the deco... | {
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"I can train the bert-base-multilingual-cased model and its taking almost all my memory (21109MiB / 24576MiB) on WSL2 meanwhile only taking about 8G on native linux..\r\n\r\n",
"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occur... | 1,601 | 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:
- Platform: WSL2 Debian
- Python version: 3.7
- PyTorch version (GPU?): 1.3.1
- Tensorflow version (... | {
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https://api.github.com/repos/huggingface/transformers/issues/7395 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7395/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7395/comments | https://api.github.com/repos/huggingface/transformers/issues/7395/events | https://github.com/huggingface/transformers/pull/7395 | 709,040,581 | MDExOlB1bGxSZXF1ZXN0NDkzMTYwNTUy | 7,395 | [RAG] Remove dependency on `examples/seq2seq` from rag | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7395?src=pr&el=h1) Report\n> Merging [#7395](https://codecov.io/gh/huggingface/transformers/pull/7395?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/cf1c88e0921243e760d306e63a5938e1bac880f3?el=desc) will **increase... | 1,601 | 1,601 | 1,601 | CONTRIBUTOR | null | We were importing some functionality from `examples/seq2seq`, however, it seems more HugginFace-like and less error-prone to just copy-paste.
Tested by launching evaluation and training runs. | {
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https://api.github.com/repos/huggingface/transformers/issues/7394 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7394/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7394/comments | https://api.github.com/repos/huggingface/transformers/issues/7394/events | https://github.com/huggingface/transformers/pull/7394 | 709,038,970 | MDExOlB1bGxSZXF1ZXN0NDkzMTU5MjA5 | 7,394 | Speedup check_copies script | {
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"Whoah! That's blazing fast! Thanks, @sgugger!\r\n\r\nI think that's why `flake8` is slow - it runs black in some slow mode (`black` itself is very fast)\r\n\r\nYou can always add a flag that activates that disabled function, so it's there if needed.",
"This is no longer needed: `--line-length 119 --target-versio... | 1,601 | 1,601 | 1,601 | COLLABORATOR | null | Checking the copies by using black was slowing down the script quite a lot, so removing this check makes the script way faster. Removing `blackify` use could make the script less robust though, so leaving the function for now even if we don't use it anymore. If a situation arises where we see the script fail, I can cod... | {
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"@sshleifer Definitely possible, except we'll need to use `AutoModelForSeq2SeqLM` 😉\r\nWe can also pass a different `config` if we don't want to use `pretrained config` using `config_name` argument.\r\n\r\nHappy to open a PR if it's needed :). Let me know",
"@sgugger is this possible with existing `Trainer? It ... | 1,601 | 1,601 | 1,601 | CONTRIBUTOR | null | @patil-suraj is this possible in the new `Seq2SeqTrainer`?
Possible solution sketch:
Where we call:
```
AutoSeq2SeqModelWithLMHead.from_pretrained(model_name)
```
Switch to
```
if args.from_scratch: model = AutoSeq2SeqModelWithLMHead(config)
else: model = AutoSeq2SeqModelWithLMHead.from_pretrained(mo... | {
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https://api.github.com/repos/huggingface/transformers/issues/7392 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7392/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7392/comments | https://api.github.com/repos/huggingface/transformers/issues/7392/events | https://github.com/huggingface/transformers/pull/7392 | 709,026,977 | MDExOlB1bGxSZXF1ZXN0NDkzMTQ5MjA1 | 7,392 | Pull request template | {
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co-authored-by: sgugger <sylvain.gugger@gmail.com>
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7391?src=pr&el=h1) Report\n> Merging [#7391](https://codecov.io/gh/huggingface/transformers/pull/7391?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/cf1c88e0921243e760d306e63a5938e1bac880f3?el=desc) will **decrease... | 1,601 | 1,601 | 1,601 | CONTRIBUTOR | null | This gets hit at the first step of generate. My bad.
The CI Failures are spurious. | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7390?src=pr&el=h1) Report\n> Merging [#7390](https://codecov.io/gh/huggingface/transformers/pull/7390?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/571c7a11c17bd00ba3e79f4d853cc51428a14e45?el=desc) will **decrease... | 1,601 | 1,601 | 1,601 | COLLABORATOR | null | As mentioned in #7380, the output documented for `BartModel` was wrong. This PR should fix this.
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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",
"It shouldn't be necessary as it performs byte pair encoding (BPE) when a word isn't in it's vocabulary. For example \"Gallbladder palpa... | 1,601 | 1,666 | 1,607 | NONE | null | I feel like this a silly question. But I just thought in using BERT, wait, before working with fasttext for example I had to do preprocessing like word stemming/lemmatization and stopwords. How is the advise for using BERT models?
Does it makes problems if I do stemming or lemmatization before feeding to BERT tokeni... | {
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https://api.github.com/repos/huggingface/transformers/issues/7388 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7388/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7388/comments | https://api.github.com/repos/huggingface/transformers/issues/7388/events | https://github.com/huggingface/transformers/pull/7388 | 708,925,675 | MDExOlB1bGxSZXF1ZXN0NDkzMDYzMzc0 | 7,388 | Update LayoutLM doc | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7388?src=pr&el=h1) Report\n> Merging [#7388](https://codecov.io/gh/huggingface/transformers/pull/7388?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/9e68d075a4100906509170498480823e7e61874a?el=desc) will **decrease... | 1,601 | 1,601 | 1,601 | CONTRIBUTOR | null | Minor update to model_doc/layoutlm.rs
# What does this PR do?
<!--
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https://api.github.com/repos/huggingface/transformers/issues/7387 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7387/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7387/comments | https://api.github.com/repos/huggingface/transformers/issues/7387/events | https://github.com/huggingface/transformers/pull/7387 | 708,837,432 | MDExOlB1bGxSZXF1ZXN0NDkyOTg4OTA2 | 7,387 | Fix tokenization in SQuAD for RoBERTa, Longformer, BART | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7387?src=pr&el=h1) Report\n> Merging [#7387](https://codecov.io/gh/huggingface/transformers/pull/7387?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/2dd652d757132d97e43173fb048849685ecccb68?el=desc) will **increase... | 1,601 | 1,601 | 1,601 | CONTRIBUTOR | null | Originating from this discussion: https://github.com/huggingface/transformers/pull/4615#issuecomment-697725357
**Issue:**
Tokenization of context in `squad_convert_example_to_features()` for RoBERTA-like tokenizers is not preserving whitespace, because we call the tokenizer on previously splitted, individual words... | {
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https://api.github.com/repos/huggingface/transformers/issues/7384 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7384/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7384/comments | https://api.github.com/repos/huggingface/transformers/issues/7384/events | https://github.com/huggingface/transformers/pull/7384 | 708,755,071 | MDExOlB1bGxSZXF1ZXN0NDkyOTIxODg4 | 7,384 | Flos fix | {
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"Please merge at will, as this fix is blocking us (https://github.com/huggingface/transformers/issues/7146#issuecomment-698852274). "
] | 1,601 | 1,601 | 1,601 | CONTRIBUTOR | null | <!-- This line specifies which issue to close after the pull request is merged. -->
Fixes #7146
This basically unwraps the model that is used during training and can be either plain `Module` or `DataParallel`/`DistributedDataParallel`. | {
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"Fixed in #7422 ",
"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"
] | 1,601 | 1,607 | 1,607 | MEMBER | null | ## This concerns all TF models
If one loads weights of a tensorflow model these lines are run:
https://github.com/huggingface/transformers/blob/9e68d075a4100906509170498480823e7e61874a/src/transformers/modeling_tf_utils.py#L627
to check which layers are in the model weights file and which layer names of the model... | {
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+ allows a better diff if the mbart integration test breaks
+ raises a Warning in the classic "use cache when call forward" mixup (test_benchmark triggers this warning).
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https://api.github.com/repos/huggingface/transformers/issues/7380 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7380/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7380/comments | https://api.github.com/repos/huggingface/transformers/issues/7380/events | https://github.com/huggingface/transformers/issues/7380 | 708,519,608 | MDU6SXNzdWU3MDg1MTk2MDg= | 7,380 | Incorrect output fields names in docs | {
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"Actually, the root of the problem might be related to the fact that the documentation states that the forward pass returns `BaseModelOutputWithPast` but in fact in returns `Seq2SeqModelOutput` ([source code](https://github.com/huggingface/transformers/blob/master/src/transformers/modeling_bart.py#L947-L955)).",
... | 1,600 | 1,601 | 1,601 | NONE | null | ## Environment info
- `transformers` version: 3.2.0
- Platform: Linux-5.4.0-7642-generic-x86_64-with-glibc2.29
- Python version: 3.8.2
- PyTorch version (GPU?): 1.6.0 (True)
- Tensorflow version (GPU?): not installed (NA)
- Using GPU in script?: yes
- Using distributed or parallel set-up in script?: no
... | {
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https://api.github.com/repos/huggingface/transformers/issues/7379 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7379/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7379/comments | https://api.github.com/repos/huggingface/transformers/issues/7379/events | https://github.com/huggingface/transformers/issues/7379 | 708,508,033 | MDU6SXNzdWU3MDg1MDgwMzM= | 7,379 | Movement Pruning for GPT2 | {
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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"
] | 1,600 | 1,607 | 1,607 | NONE | null | # ❓ Questions & Help
Is it possible to make the movement pruning work for GPT2 model?
Principally it should work as it is, did anyone try it and can we have it in examples?
Thanks
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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"
] | 1,600 | 1,607 | 1,607 | 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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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7377?src=pr&el=h1) Report\n> Merging [#7377](https://codecov.io/gh/huggingface/transformers/pull/7377?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/eadd870b2f503047dd81b8dcd9d115dc1b4a9196?el=desc) will **increase... | 1,600 | 1,601 | 1,601 | COLLABORATOR | null | Do not merge before Monday
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https://api.github.com/repos/huggingface/transformers/issues/7376 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7376/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7376/comments | https://api.github.com/repos/huggingface/transformers/issues/7376/events | https://github.com/huggingface/transformers/pull/7376 | 708,466,440 | MDExOlB1bGxSZXF1ZXN0NDkyNjkyNjk0 | 7,376 | Remove mentions of RAG from the docs | {
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https://api.github.com/repos/huggingface/transformers/issues/7375 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7375/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7375/comments | https://api.github.com/repos/huggingface/transformers/issues/7375/events | https://github.com/huggingface/transformers/issues/7375 | 708,462,148 | MDU6SXNzdWU3MDg0NjIxNDg= | 7,375 | CUDA out of memory error for Bert Model | {
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"I agree, I had a stable training pipeline for training on TPU and suddenly it broke because it ran out of memory when using the newer versions of Huggingface. I am using the Trainer class. For me the crash happens either during the first evaluation step or right after it.",
"Also because the Trainer is such a cr... | 1,600 | 1,610 | 1,610 | NONE | null | Hi there,
I am building a BERT binary classification on SageMaker using Pytorch. Previously when I ran the model, I set the Batch size to 16 and the model were able to run successfully. However, yesterday after I stopped SageMaker and restarted the this morning, I can't run the model with Batch size as 16 any more. ... | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7374?src=pr&el=h1) Report\n> Merging [#7374](https://codecov.io/gh/huggingface/transformers/pull/7374?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/0ccb6f5c6da9e703766e8053581fddfc6dcc71a9?el=desc) will **decrease... | 1,600 | 1,601 | 1,601 | COLLABORATOR | null | This `.float()` should have been removed, it was necessary before I converted the attention masks to floating types at the beginning of the forward of the Encoder, but it's now useless (and bad for mixed precision as shown in #7371).
Also, the attentions masks were used the wrong way (0 for non-masked tokens, 1 for ... | {
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https://api.github.com/repos/huggingface/transformers/issues/7373 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7373/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7373/comments | https://api.github.com/repos/huggingface/transformers/issues/7373/events | https://github.com/huggingface/transformers/pull/7373 | 708,367,260 | MDExOlB1bGxSZXF1ZXN0NDkyNjEwMzY1 | 7,373 | [RAG] Add `attention_mask` to RAG generate | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7373?src=pr&el=h1) Report\n> Merging [#7373](https://codecov.io/gh/huggingface/transformers/pull/7373?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/8d3bb781ee2643ad1076f4cbcc6f417245671e94?el=desc) will **increase... | 1,600 | 1,600 | 1,600 | MEMBER | null | Previously the attention mask was not passed to the generate function so that the encoder_outputs were possibly working if the batch has different sizes of input ids.
@ola13 Also fixed in eval script | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7372?src=pr&el=h1) Report\n> Merging [#7372](https://codecov.io/gh/huggingface/transformers/pull/7372?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/571c7a11c17bd00ba3e79f4d853cc51428a14e45?el=desc) will **decrease... | 1,600 | 1,601 | 1,601 | MEMBER | null | Address @yjernite 's comment in https://github.com/huggingface/transformers/pull/7129#discussion_r488904472
Indeed the retriever was returning the indexes offset by one.
Cc @ola13 | {
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"Thanks for flagging!\r\nI think I have found the cause for this. Model runs fine on my end in half precision when it's applied.",
"Thanks for the quick fix, but unfortunately I checked out that branch (and installed from source) and I still get the issue at this line: https://github.com/huggingface/transformers/... | 1,600 | 1,601 | 1,601 | 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: 3.2.0
- Platform: Linux-4.15.0-45-generic-x86_64-with-debian-buster-sid
- Python version: Python 3.7.7
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https://api.github.com/repos/huggingface/transformers/issues/7370 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7370/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7370/comments | https://api.github.com/repos/huggingface/transformers/issues/7370/events | https://github.com/huggingface/transformers/issues/7370 | 708,279,452 | MDU6SXNzdWU3MDgyNzk0NTI= | 7,370 | Add new PET Model | {
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"The readme in the repo still says this:\r\n\r\n> :rotating_light: This repository does not yet contain the modifications to PET introduced in \"[It's Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners](https://arxiv.org/abs/2009.07118)\" but will be updated soon.",
"Looks like the autho... | 1,600 | 1,615 | null | NONE | null | # 🌟 New model addition
## Model description
A new article just landed on ArXiv: https://arxiv.org/pdf/2009.07118.pdf
An implementation will eventually be available at https://github.com/timoschick/pet
Authors are @timoschick and Hinrich Schutze.
I didn't see any pre-trained models linked on the GitHub REA... | {
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https://api.github.com/repos/huggingface/transformers/issues/7369 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7369/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7369/comments | https://api.github.com/repos/huggingface/transformers/issues/7369/events | https://github.com/huggingface/transformers/issues/7369 | 708,267,832 | MDU6SXNzdWU3MDgyNjc4MzI= | 7,369 | The absence of source/target language parameters when using MBart in Summarization example | {
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"add \r\n```\r\n self.dataset_kwargs[\"src_lang\"] = hparams.src_lang\r\n self.dataset_kwargs[\"tgt_lang\"] = hparams.tgt_lang\r\n```\r\nhere https://github.com/huggingface/transformers/blob/master/examples/seq2seq/finetune.py#L70"
] | 1,600 | 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: 3.2.0
- Platform: Ubuntu 16.04
- Python version: 3.7
- PyTorch version (GPU?): 1.6.0+cu101
- Tensorflo... | {
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https://api.github.com/repos/huggingface/transformers/issues/7368 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7368/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7368/comments | https://api.github.com/repos/huggingface/transformers/issues/7368/events | https://github.com/huggingface/transformers/pull/7368 | 708,222,744 | MDExOlB1bGxSZXF1ZXN0NDkyNDg5NjYy | 7,368 | Formatter | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7368?src=pr&el=h1) Report\n> Merging [#7368](https://codecov.io/gh/huggingface/transformers/pull/7368?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/0cffa424f855cbbd657c4f1b57f94a51b7aa8d6d?el=desc) will **decrease... | 1,600 | 1,600 | 1,600 | MEMBER | null | Add two new methods to the logging utility to automatically set the format like it is done in the `examples/` folder. | {
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https://api.github.com/repos/huggingface/transformers/issues/7367 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7367/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7367/comments | https://api.github.com/repos/huggingface/transformers/issues/7367/events | https://github.com/huggingface/transformers/issues/7367 | 708,215,158 | MDU6SXNzdWU3MDgyMTUxNTg= | 7,367 | Finetuning Pegasus for summarization task | {
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"notebook link :\r\nhttps://colab.research.google.com/drive/1c7G1WXE6mgl2rwA-VR7q8DAqmbVqB62m?usp=sharing#scrollTo=VRzl54I-5isw ",
"\r\n",
"Facing the same issue. A reply on this will be highly appreciat... | 1,600 | 1,619 | 1,619 | NONE | null | i have been trying to fine tune Pegasus for summarization task, it worked fine without getting any error.
but when i tried to generate the summary i was getting only empty list as a output.
i am not able to figure it out, is anything wrong with my fine tuning script?
```py
def label_smoothed_nll_loss(lprobs, targ... | {
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"Yeah, If you run on CPU the test passes - I added a comment that the test fails on GPU: https://github.com/huggingface/transformers/blob/9e68d075a4100906509170498480823e7e61874a/tests/test_modeling_rag.py#L659\r\n\r\nBeam search seems very sensible to small changes.",
"you mean sensitive, but OK. Maybe we should... | 1,600 | 1,601 | 1,601 | CONTRIBUTOR | null | https://github.com/huggingface/transformers/runs/1157849932?check_suite_focus=true
```
> self.assertEqual(output_text_1, EXPECTED_OUTPUT_TEXT_1)
E AssertionError: 'The song peaked at number 17 in the' != '"I Know Him So Well"'
``` | {
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https://api.github.com/repos/huggingface/transformers/issues/7365 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7365/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7365/comments | https://api.github.com/repos/huggingface/transformers/issues/7365/events | https://github.com/huggingface/transformers/pull/7365 | 708,186,057 | MDExOlB1bGxSZXF1ZXN0NDkyNDU5MjUy | 7,365 | Fixing case in which `Trainer` hung while saving model in distributed training | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7365?src=pr&el=h1) Report\n> Merging [#7365](https://codecov.io/gh/huggingface/transformers/pull/7365?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/28cf873036d078b47fb9dd38ac3421a7c874da44?el=desc) will **increase... | 1,600 | 1,601 | 1,600 | CONTRIBUTOR | null | As found thanks to the great @mfuntowicz , the call to `store_flos` in `Trainer` can hang indefinitely, as it was only executed in the main thread and in some cases the other threads were already past this point. This PR moves this call in order to avoid this behaviour. | {
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https://api.github.com/repos/huggingface/transformers/issues/7364 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7364/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7364/comments | https://api.github.com/repos/huggingface/transformers/issues/7364/events | https://github.com/huggingface/transformers/issues/7364 | 708,115,983 | MDU6SXNzdWU3MDgxMTU5ODM= | 7,364 | Getting "TypeError: forward() got multiple values for argument 'attention_mask'" when replacing pytorch_transformers with transformers | {
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"Hi, I believe this is the cause of your issue: https://huggingface.co/transformers/migration.html#positional-order-of-some-models-keywords-inputs-attention-mask-token-type-ids-changed",
"Thanks. I agree. Can you suggest where I should fix in the codes given in the error log?",
"I can't really see where's your ... | 1,600 | 1,608 | 1,608 | NONE | null | # 📚 Migration
## Information
<!-- Important information -->
Model I am using (Bert):
Language I am using the model on (Japanese):
The problem arises when using:
* [ ] the official example scripts: (give details below)
* [* ] my own modified scripts: (give details below)
The tasks I am working on is... | {
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https://api.github.com/repos/huggingface/transformers/issues/7363 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7363/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7363/comments | https://api.github.com/repos/huggingface/transformers/issues/7363/events | https://github.com/huggingface/transformers/pull/7363 | 708,067,314 | MDExOlB1bGxSZXF1ZXN0NDkyMzU5NTE5 | 7,363 | Check config type using `type` instead of `isinstance` | {
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"In that case we can even remove the for loops entirely, no?",
"I agree with @julien-c, we can directly check if `type(config)` is in the dict.",
"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7363?src=pr&el=h1) Report\n> Merging [#7363](https://codecov.io/gh/huggingface/transformers/pull/7363... | 1,600 | 1,601 | 1,601 | MEMBER | null | This seems like the textbook case where using `type` should be preferred over using `isinstance`.
Thanks to @hjptriplebee for showing the way in https://github.com/huggingface/transformers/pull/6870, this PR does the same for all remaining cases. | {
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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"
] | 1,600 | 1,607 | 1,607 | CONTRIBUTOR | null | The function `BertTokenizer` has a parameter `tokenize_chinese_chars` and default True.
When I set it to false, I got different result as follows:
```
1. tokenize chinese char: ['任', '务']
2. not tokenize chinese char: ['任', '##务']
```
The code is as follows(and 任务 means task in English):
```
vocab_file = ... | {
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"Hi, what is your transformers version? Can you run `transformers-cli env` and paste the result here?",
"Here is the output for transformers-cli env\n\n2020-09-24 16:56:51.133770: W\ntensorflow/stream_executor/platform/default/dso_loader.cc:59] Could not\nload dynamic library 'libcudart.so.10.1'; dlerror: libcud... | 1,600 | 1,662 | 1,600 | CONTRIBUTOR | null | # was trying to use below model but got import error for AutoModelForTokenClassification
from transformers import AutoTokenizer, AutoModelForTokenClassification
tokenizer = AutoTokenizer.from_pretrained("dbmdz/electra-large-discriminator-finetuned-conll03-english")
model = AutoModelForTokenClassification.fro... | {
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https://api.github.com/repos/huggingface/transformers/issues/7360 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7360/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7360/comments | https://api.github.com/repos/huggingface/transformers/issues/7360/events | https://github.com/huggingface/transformers/issues/7360 | 707,952,755 | MDU6SXNzdWU3MDc5NTI3NTU= | 7,360 | How to add some parameters in T5 (in T5Block layer) and initialize the original T5 parameters with pre-trained model and the new introduced parameters randomly? | {
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"Hi! The simplest way to do this would be simply to update the `modeling_t5.py` file. You should first clone the repo and install that version in your virtual environment:\r\n\r\n```bash\r\ngit clone https://github.com/huggingface/transformers\r\ncd transformers\r\npip install -e \".[dev]\"\r\n```\r\n\r\nRight now ... | 1,600 | 1,632 | 1,600 | NONE | null | Hi,
I want to add a new layer in T5Block,
However, I want to initialize all original parameters with pre-trained T5 and the newly added ones randomly.
Can someone guide me how that's possible or point me to the right direction?
Thanks
| {
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https://api.github.com/repos/huggingface/transformers/issues/7359 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7359/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7359/comments | https://api.github.com/repos/huggingface/transformers/issues/7359/events | https://github.com/huggingface/transformers/pull/7359 | 707,911,464 | MDExOlB1bGxSZXF1ZXN0NDkyMjMwODYy | 7,359 | Update modeling_tf_longformer.py | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7359?src=pr&el=h1) Report\n> Merging [#7359](https://codecov.io/gh/huggingface/transformers/pull/7359?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/38f17037957d325b5540a8031f065e6f23c9e265?el=desc) will **increase... | 1,600 | 1,600 | 1,600 | CONTRIBUTOR | null | correct a very small mistake
<!-- 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/7358 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7358/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7358/comments | https://api.github.com/repos/huggingface/transformers/issues/7358/events | https://github.com/huggingface/transformers/issues/7358 | 707,850,089 | MDU6SXNzdWU3MDc4NTAwODk= | 7,358 | Example for T5 model from doc is not working. | {
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"Hi, you're using the wrong model. `labels` cannot work with the `TFT5Model` as that's just the base model. You're probably looking for `TFT5ForConditionalGeneration`, which is the T5 base model with a language modeling head:\r\n\r\n```py\r\nimport tensorflow as tf\r\nfrom transformers import TFT5ForConditionalGene... | 1,600 | 1,601 | 1,601 | 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: 2.3.0
- Platform: Linux
- Python version: 3.6
- PyTorch version (GPU?): No
- Tensorflow version (GPU?)... | {
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https://api.github.com/repos/huggingface/transformers/issues/7357 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7357/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7357/comments | https://api.github.com/repos/huggingface/transformers/issues/7357/events | https://github.com/huggingface/transformers/issues/7357 | 707,827,308 | MDU6SXNzdWU3MDc4MjczMDg= | 7,357 | how can i convert bert pytorch to tf2 ? | {
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"You can save it and reload it:\r\n\r\n```py\r\npytorch_model.save_pretrained(\"here\")\r\ntf_model = TFBertModel.from_pretrained(\"here\")\r\n```",
"> You can save it and reload it:\r\n> \r\n> ```python\r\n> pytorch_model.save_pretrained(\"here\")\r\n> tf_model = TFBertModel.from_pretrained(\"here\")\r\n> ```\r\... | 1,600 | 1,601 | 1,600 | NONE | null | how can i convert bert pytorch to tf2 ? | {
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https://api.github.com/repos/huggingface/transformers/issues/7356 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7356/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7356/comments | https://api.github.com/repos/huggingface/transformers/issues/7356/events | https://github.com/huggingface/transformers/pull/7356 | 707,804,696 | MDExOlB1bGxSZXF1ZXN0NDkyMTQzODI3 | 7,356 | Fix eval to compute rouge correctly for rouge_score | {
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"Hi, for the code quality test to pass you should run `make style` (to apply the style changes) and check with `make quality` (to make sure there is none left) at the root of your `transformers` directory.",
"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7356?src=pr&el=h1) Report\n> Merging [#73... | 1,600 | 1,601 | 1,601 | CONTRIBUTOR | null | Fixes #6808
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https://api.github.com/repos/huggingface/transformers/issues/7355 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7355/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7355/comments | https://api.github.com/repos/huggingface/transformers/issues/7355/events | https://github.com/huggingface/transformers/pull/7355 | 707,757,483 | MDExOlB1bGxSZXF1ZXN0NDkyMTA2MjI4 | 7,355 | Add token_type_ids to prepare_inputs_for_generation for gpt/gpt2 | {
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"Maybe related to https://github.com/huggingface/transformers/pull/6601 and https://github.com/huggingface/transformers/pull/7552",
"Yes seems to be related to both. https://github.com/huggingface/transformers/pull/7355 doesn't seem to have token_type_ids passed in though, but if those PRs get merged in I'll clos... | 1,600 | 1,619 | 1,619 | NONE | 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/7354 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7354/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7354/comments | https://api.github.com/repos/huggingface/transformers/issues/7354/events | https://github.com/huggingface/transformers/issues/7354 | 707,725,658 | MDU6SXNzdWU3MDc3MjU2NTg= | 7,354 | Faster Pegasus tokenizer tests | {
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"Any interest @stas00 ?",
"Yes, please, you can assign this to me, but most likely will be able to start on it in a few weeks when I have free time.",
"We can start this, but if we do we should wait for @thomwolf 's fast tokenizer PR to merge before we merge the fix.",
"This is unblocked, thom merged!"
] | 1,600 | 1,602 | 1,602 | CONTRIBUTOR | null | Current test_tokenization_pegasus.py takes more than a minute to run because it uses a full size tokenizer [here](https://github.com/huggingface/transformers/blob/master/tests/test_tokenization_pegasus.py#L19)
It should use "fixtures/test_sentencepiece.model" like `tests/test_tokenization_t5.py`. | {
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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"
] | 1,600 | 1,607 | 1,607 | NONE | null | <!-- This line specifies which issue to close after the pull request is merged. -->
Fixes #7222
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https://api.github.com/repos/huggingface/transformers/issues/7352 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7352/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7352/comments | https://api.github.com/repos/huggingface/transformers/issues/7352/events | https://github.com/huggingface/transformers/pull/7352 | 707,680,277 | MDExOlB1bGxSZXF1ZXN0NDkyMDQxMDI2 | 7,352 | Make PyTorch model files independent from each other | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7352?src=pr&el=h1) Report\n> Merging [#7352](https://codecov.io/gh/huggingface/transformers/pull/7352?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/129fdae04033fe4adfe013b734deaec6ec34ae2e?el=desc) will **increase... | 1,600 | 1,600 | 1,600 | COLLABORATOR | null | As discussed after the survey and expressed in the project README, our goal is to have independent model files even if it means some code is duplicated. This PR fixes this for all PyTorch models except:
- the full subclasses (CamemBERT, FlauBERT, XLM-RoBERTa),
- the BART-like models (BART, mBART, marian, Pegasus)
- ... | {
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"Hello!\n\nThis is fixed in master.",
" @jplu Sorry, but I'm facing the same issue, and have version 3.2 installed. Can you please elaborate on how I might fix this? Thanks.",
"@sunnyville01 Just install the version on master with `pip install git+https://github.com/huggingface/transformers.git`",
"@jplu Than... | 1,600 | 1,601 | 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: 3.2.0
- Platform: Linux-4.15.0-1091-oem-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.6.9
- PyTor... | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7350?src=pr&el=h1) Report\n> Merging [#7350](https://codecov.io/gh/huggingface/transformers/pull/7350?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/129fdae04033fe4adfe013b734deaec6ec34ae2e?el=desc) will **increase... | 1,600 | 1,600 | 1,600 | COLLABORATOR | null | Add a few more instructions for people who do read the doc :-) | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7348?src=pr&el=h1) Report\n> Merging [#7348](https://codecov.io/gh/huggingface/transformers/pull/7348?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/129fdae04033fe4adfe013b734deaec6ec34ae2e?el=desc) will **decrease... | 1,600 | 1,600 | 1,600 | COLLABORATOR | null | Followup from #7345, this cleans up the documentation for RAG (since it was merged while I was working) and update the templates to the new docstrings. | {
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"No it can't `from_pretrained` uses `FileLock`"
] | 1,600 | 1,602 | 1,602 | CONTRIBUTOR | null | + `from_pretrained` uses a FileLock to avoid this, but I wonder if there is a race condition.
+ Verify, then fix. Fix non-trivial because have to block other processes.
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https://api.github.com/repos/huggingface/transformers/issues/7346 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7346/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7346/comments | https://api.github.com/repos/huggingface/transformers/issues/7346/events | https://github.com/huggingface/transformers/issues/7346 | 707,553,010 | MDU6SXNzdWU3MDc1NTMwMTA= | 7,346 | Difference between bart-large and bart-large-cnn vocabulary | {
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"The reason is the mask token, see https://github.com/huggingface/transformers/issues/3108.\r\nYou could try to use the resize_token_embeddings method, but even easier would be to pass the config changes you want to init\r\n```python\r\nBartForConditionalGeneration.from_pretrained('bart-large', num_beams=4, min_len... | 1,600 | 1,603 | 1,603 | CONTRIBUTOR | null | Trying to finetune from pretrained bart checkpoint as follows:
```
config = BartConfig(**json.load(open(args.config_path, "r"))) #pointing to bart-large-cnn/config.json
model = BartForConditionalGeneration.from_pretrained('facebook/bart-large', config=config) #use pretrained bart model's weights
tokenizer = BartT... | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7345?src=pr&el=h1) Report\n> Merging [#7345](https://codecov.io/gh/huggingface/transformers/pull/7345?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/28cf873036d078b47fb9dd38ac3421a7c874da44?el=desc) will **increase... | 1,600 | 1,600 | 1,600 | COLLABORATOR | null | Do not review this PR unless you're masochistic or @LysandreJik.
This PR does a big clean-up of all models/tokenizers/config docstrings. | {
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https://api.github.com/repos/huggingface/transformers/issues/7344 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7344/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7344/comments | https://api.github.com/repos/huggingface/transformers/issues/7344/events | https://github.com/huggingface/transformers/pull/7344 | 707,510,707 | MDExOlB1bGxSZXF1ZXN0NDkxODk5ODQ2 | 7,344 | Remove reference to args in XLA check | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7344?src=pr&el=h1) Report\n> Merging [#7344](https://codecov.io/gh/huggingface/transformers/pull/7344?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/28cf873036d078b47fb9dd38ac3421a7c874da44?el=desc) will **increase... | 1,600 | 1,600 | 1,600 | CONTRIBUTOR | null | Previously, the TFTrainingArguments object did a check to see if XLA was enabled, but did this by referencing `self.args.xla`, when it should be `self.xla`, because it is the args object. This can be verified a few lines above, where the XLA field is set.
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<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: 3.2.0
- 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/7342 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7342/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7342/comments | https://api.github.com/repos/huggingface/transformers/issues/7342/events | https://github.com/huggingface/transformers/issues/7342 | 707,481,867 | MDU6SXNzdWU3MDc0ODE4Njc= | 7,342 | CentOS Error installing Transformers | {
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"The error message indicated that you need to first install Rust compiler (https://www.rust-lang.org/tools/install).",
"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"
] | 1,600 | 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:
- Platform: CentOS
- Python version: 3.6.3
- PyTorch version (GPU?):1.6.0
- Tensorflow version (GPU?):... | {
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"@sgugger might be interested in this issue as well.",
"I have the same issue. \r\nDoes anybody know any \"workarounds\" to bypass this issue? ",
"@GenTxt did you find any workaround for this error ?",
"No, unfortuantely. Was hoping others more familiar with the problem would\noffer solutions.\n\nOn Wed, Oct ... | 1,600 | 1,694 | 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: version: 3.2.0
- Platform: Linux-4.15.0-118-generic-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.... | {
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https://api.github.com/repos/huggingface/transformers/issues/7340 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7340/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7340/comments | https://api.github.com/repos/huggingface/transformers/issues/7340/events | https://github.com/huggingface/transformers/pull/7340 | 707,403,903 | MDExOlB1bGxSZXF1ZXN0NDkxODEyNjQz | 7,340 | Fixed evaluation_strategy on epoch end bug | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7340?src=pr&el=h1) Report\n> Merging [#7340](https://codecov.io/gh/huggingface/transformers/pull/7340?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/28cf873036d078b47fb9dd38ac3421a7c874da44?el=desc) will **increase... | 1,600 | 1,600 | 1,600 | CONTRIBUTOR | null | moved the evaluation script outside the iteration loop
<!-- This line specifies which issue to close after the pull request is merged. -->
Fixes #7339
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- `transformers` version: 3.2.0
- Platform: Linux-4.19.112+-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.6.9
- PyTorch version (GPU?): 1.6.0+cu101 (True)
- Tensorflow version (GPU?): 2.3.0 (True)
- Using GPU in script?: Yes
- Using distributed or parallel set-up in script?: NA
... | {
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https://api.github.com/repos/huggingface/transformers/issues/7338 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7338/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7338/comments | https://api.github.com/repos/huggingface/transformers/issues/7338/events | https://github.com/huggingface/transformers/issues/7338 | 707,331,604 | MDU6SXNzdWU3MDczMzE2MDQ= | 7,338 | BufferedWriter takes most of the time | {
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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"
] | 1,600 | 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: 3.1.0
- Platform: macOS-10.14.6-x86_64-i386-64bit
- Python version: 3.8.5
- PyTorch version (GPU?): 1.6... | {
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https://api.github.com/repos/huggingface/transformers/issues/7337 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7337/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7337/comments | https://api.github.com/repos/huggingface/transformers/issues/7337/events | https://github.com/huggingface/transformers/issues/7337 | 707,213,756 | MDU6SXNzdWU3MDcyMTM3NTY= | 7,337 | Trainer.py module 'datasets' has no attribute 'Dataset' | {
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"I'm not sure which `datasets` module is installed in your env, but the Hugging Face `datasets` definitely has a `Dataset` attribute. And no, this part is not using PyTorch `Dataset`.",
"Apparently, the `datasets` module wasn't even installed on my environment. But installing it just replaced the error by another... | 1,600 | 1,688 | 1,600 | NONE | null | I'm trying to use a Trainer, but I get this error:
```
c:\users\francois\appdata\local\programs\python\python37\lib\site-packages\transformers\trainer.py in __init__(self, model, args, data_collator, train_dataset, eval_dataset, tokenizer, model_init, compute_metrics, tb_writer, optimizers, **kwargs)
287
2... | {
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https://api.github.com/repos/huggingface/transformers/issues/7336 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7336/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7336/comments | https://api.github.com/repos/huggingface/transformers/issues/7336/events | https://github.com/huggingface/transformers/issues/7336 | 707,150,342 | MDU6SXNzdWU3MDcxNTAzNDI= | 7,336 | Error when fine-tune RoBERTa on NSP using Trainer | {
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"Hey @adamwawrzynski,\r\n\r\nCould you create a google-colab where we can reproduce the error? It is quite difficult to reproduce your error since it seems to be very specific to your usecase.",
"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no furt... | 1,600 | 1,643 | 1,607 | NONE | null | ## Environment info
- `transformers` version: 3.1.0
- Platform: Linux-5.4.0-45-generic-x86_64-with-glibc2.10
- Python version: 3.8.5
- PyTorch version (GPU?): 1.5.0 (True)
- Tensorflow version (GPU?): not installed (NA)
- Using GPU in script?: IDK.
- Using distributed or parallel set-up in script?: IDK.
... | {
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https://api.github.com/repos/huggingface/transformers/issues/7335 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7335/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7335/comments | https://api.github.com/repos/huggingface/transformers/issues/7335/events | https://github.com/huggingface/transformers/issues/7335 | 706,974,441 | MDU6SXNzdWU3MDY5NzQ0NDE= | 7,335 | is there a tokenizer only used whitespace for spliting chinese sentence? | {
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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"
] | 1,600 | 1,606 | 1,606 | NONE | null | i want to use bert masked language model to pre train for chinese sentence, i have alweady splited chinese sentence into meaninful word, the data file like follows:
我 是 一个 队员
他 不是 一个 合格 的 老师
......
i only want to use whitespace split them, but BertWordPieceTokenizer will split them to character level , t... | {
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https://api.github.com/repos/huggingface/transformers/issues/7334 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7334/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7334/comments | https://api.github.com/repos/huggingface/transformers/issues/7334/events | https://github.com/huggingface/transformers/pull/7334 | 706,824,218 | MDExOlB1bGxSZXF1ZXN0NDkxMzA5NDk1 | 7,334 | [testing] skip decorators: docs, tests, bugs | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7334?src=pr&el=h1) Report\n> Merging [#7334](https://codecov.io/gh/huggingface/transformers/pull/7334?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/25b0463d0ba3fcbcf7fff8aa4027a2d8e959364b?el=desc) will **decrease... | 1,600 | 1,600 | 1,600 | CONTRIBUTOR | null | This PR:
* fixes a bug in `require_torch_and_cuda`
* makes all skip decorators consistent code-wise
* adds a test for testing combinations of skip decorators and other decorators
* clarifies `testing.rst` notes
OK, so other than a small bug in `require_torch_and_cuda` our skip decorators can be used in any or... | {
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https://api.github.com/repos/huggingface/transformers/issues/7333 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7333/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7333/comments | https://api.github.com/repos/huggingface/transformers/issues/7333/events | https://github.com/huggingface/transformers/issues/7333 | 706,764,619 | MDU6SXNzdWU3MDY3NjQ2MTk= | 7,333 | Cannot import transformers with TF version 2.1.0 | {
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"Hello !\r\n\r\nIndeed, the requirements have to be updated.",
"Has the problem been solved? I met the same issue when loading the transformers.",
"Hello, you have to have TF 2.3 at min. This will be fixed in the next release.",
"This breaks at least a couple of the tutorial notebooks. Even with TF 2.3.0 I ge... | 1,600 | 1,619 | 1,619 | COLLABORATOR | null | The installation README says that transformers library requires Tensorflow version >2.0, but I can't seem to import the latest transformers 3.2 release even with Tensorflow v2.1.
```
>>> import transformers
wandb: WARNING W&B installed but not logged in. Run `wandb login` or set the WANDB_API_KEY env variable.
... | {
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https://api.github.com/repos/huggingface/transformers/issues/7332 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7332/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7332/comments | https://api.github.com/repos/huggingface/transformers/issues/7332/events | https://github.com/huggingface/transformers/issues/7332 | 706,742,316 | MDU6SXNzdWU3MDY3NDIzMTY= | 7,332 | data_collator error: AttributeError: 'dict' object has no attribute 'size' | {
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"It looks like you're not using the latest version of transformers (from the stack trace). This bug as been fixed, so you shouldn't have the problems with transformers 3.1.1.\r\nIn general, when reporting a bug/asking a question, make sure you include your version of transformers so we can help more efficiently. Yo... | 1,600 | 1,610 | 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/ .
You can also try Stack Overflow (SO) where a wh... | {
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Fixes #{issue number}
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https://api.github.com/repos/huggingface/transformers/issues/7330 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7330/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7330/comments | https://api.github.com/repos/huggingface/transformers/issues/7330/events | https://github.com/huggingface/transformers/pull/7330 | 706,721,191 | MDExOlB1bGxSZXF1ZXN0NDkxMjE4NDQz | 7,330 | Ensure that integrations are imported before transformers or ml libs | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/7330?src=pr&el=h1) Report\n> Merging [#7330](https://codecov.io/gh/huggingface/transformers/pull/7330?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/f5518e56318a79056ba3c80cbece29d9fe98558c?el=desc) will **decrease... | 1,600 | 1,600 | 1,600 | CONTRIBUTOR | null | This PR fixes a problem with some 3rd-party integrations that need to be imported before any transformers or other machine learning framework Python modules.
This PR makes the following changes:
1. Moves `import .integrations` in `__init__.py` before any other transformers imports
2. Moves ML imports in .integra... | {
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https://api.github.com/repos/huggingface/transformers/issues/7329 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7329/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7329/comments | https://api.github.com/repos/huggingface/transformers/issues/7329/events | https://github.com/huggingface/transformers/issues/7329 | 706,700,603 | MDU6SXNzdWU3MDY3MDA2MDM= | 7,329 | Problem loading a dynamic quantized distilbert model. | {
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"I got the same issue here, it would be great to know why",
"You are trying to load into a not-quantized module (ModelForTokenClassification) some quantized weights (`quantized_model = torch.quantization.quantize_dynamic(model, {torch.nn.Linear}, dtype=torch.qint8)`)\r\nYou should make sure first that the instanc... | 1,600 | 1,611 | 1,611 | NONE | null | Hello and thanks for your awesome library,
## Environment info
- `transformers` version: 3.0.2
- Platform: Linux-4.15.0-117-generic-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.6.9
- PyTorch version (GPU?): 1.6.0 (False)
- 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/7328 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7328/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7328/comments | https://api.github.com/repos/huggingface/transformers/issues/7328/events | https://github.com/huggingface/transformers/issues/7328 | 706,674,197 | MDU6SXNzdWU3MDY2NzQxOTc= | 7,328 | Add PRADO model | {
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"Yeah, This is a good model to go with if the the text sequence is too long.",
"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"
] | 1,600 | 1,609 | 1,609 | CONTRIBUTOR | null | # 🌟 New model addition
## Model description
PRADO is a model made by google, performing as bert with 100x less parameters
[link to the paper](https://www.aclweb.org/anthology/D19-1506.pdf)
[git to the model code](https://github.com/tensorflow/models/tree/master/research/sequence_projection)
## Open source s... | {
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https://api.github.com/repos/huggingface/transformers/issues/7327 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7327/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7327/comments | https://api.github.com/repos/huggingface/transformers/issues/7327/events | https://github.com/huggingface/transformers/issues/7327 | 706,586,081 | MDU6SXNzdWU3MDY1ODYwODE= | 7,327 | PegasusTokenizer: Newline symbol | {
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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"
] | 1,600 | 1,606 | 1,606 | CONTRIBUTOR | null | Ported models generate the `<n>` token at the beginning of sentences, whereas ours do not. The pegasus [original code](https://github.com/google-research/pegasus/blob/master/pegasus/ops/public_parsing_ops.py#L40) replaces `\n` newline symbol with `<n>`. `PegasusTokenizer` should probably do this.
```python
_NEWLIN... | {
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https://api.github.com/repos/huggingface/transformers/issues/7326 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7326/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7326/comments | https://api.github.com/repos/huggingface/transformers/issues/7326/events | https://github.com/huggingface/transformers/pull/7326 | 706,547,623 | MDExOlB1bGxSZXF1ZXN0NDkxMDc1MjAx | 7,326 | Check decorator order | {
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"@sgugger, let me investigate this. @slow should be the same as any other skip decorators, so the order there shouldn't matter. They should be able to stack up. If they don't, it's probably a bug somewhere.\r\n\r\nIt's possible that some other decorators don't play well with our skip decorators, which would require... | 1,600 | 1,600 | 1,600 | COLLABORATOR | null | As @stas00 pointed out, the slow decorator is ignore if it's not put last. To make sure we don't make the mistake unintentionally and to fix the places where this si not the case, I wrote a script to check the decorators order and fail on `make quality` if there is a wrong order somewhere.
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https://api.github.com/repos/huggingface/transformers/issues/7325 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7325/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7325/comments | https://api.github.com/repos/huggingface/transformers/issues/7325/events | https://github.com/huggingface/transformers/pull/7325 | 706,520,492 | MDExOlB1bGxSZXF1ZXN0NDkxMDUyODU0 | 7,325 | Mark big downloads slow | {
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https://api.github.com/repos/huggingface/transformers/issues/7324 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7324/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7324/comments | https://api.github.com/repos/huggingface/transformers/issues/7324/events | https://github.com/huggingface/transformers/issues/7324 | 706,514,554 | MDU6SXNzdWU3MDY1MTQ1NTQ= | 7,324 | [s2s] Marian beam search slow for en-de | {
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"Interesting, a few pointers:\r\n\r\n+ Beam search happens by default -- the fancy eval flags (`--eval_beams=2 --eval_max_gen_length=128 --num_val_sanity_steps=0`) make beam search faster.\r\n+ fp16 should work with or without apex.\r\n+ Shorter sequences make val faster.\r\n+ When the marian models are not well tr... | 1,600 | 1,600 | 1,600 | NONE | null | Hey @sshleifer (tagging because of translation) - I'm not sure whether I am misunderstanding something or this is an actual issue so apologies, but it seems like validation/eval is significantly slower than training and is a serious bottleneck when fine-tuning translation models.
I am running on Colab with V100, and... | {
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https://api.github.com/repos/huggingface/transformers/issues/7323 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7323/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7323/comments | https://api.github.com/repos/huggingface/transformers/issues/7323/events | https://github.com/huggingface/transformers/issues/7323 | 706,498,960 | MDU6SXNzdWU3MDY0OTg5NjA= | 7,323 | T5 Cross-attention Decoder - Possible bug with relative_bias | {
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https://api.github.com/repos/huggingface/transformers/issues/7322 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/7322/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/7322/comments | https://api.github.com/repos/huggingface/transformers/issues/7322/events | https://github.com/huggingface/transformers/pull/7322 | 706,486,728 | MDExOlB1bGxSZXF1ZXN0NDkxMDI0OTg1 | 7,322 | Add num workers cli arg | {
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"I've addressed the comments regarding the docstring and help message. \r\n\r\nI'm a little less familiar with TensorFlow 2.0, but it seems like any preprocessing is done by the user before passing `train_dataset` and `eval_dataset` to the `TFTrainer` so there isn't an opportunity to set `num_parallel_calls` (I was... | 1,600 | 1,600 | 1,600 | CONTRIBUTOR | null | <!-- This line specifies which issue to close after the pull request is merged. -->
Fixes #6316
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