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https://api.github.com/repos/huggingface/transformers/issues/10030 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10030/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10030/comments | https://api.github.com/repos/huggingface/transformers/issues/10030/events | https://github.com/huggingface/transformers/pull/10030 | 802,228,674 | MDExOlB1bGxSZXF1ZXN0NTY4NDA2OTU0 | 10,030 | Check copies match full class/function names | {
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@LysandreJik pointed out a failure in the `check_copies` script that came from the fact that when looking for the code of an object, the script was matching the first line it found that begun with the name of the object. So it would match `DebertaLayer` with `DebertaLayerNorm` and compare tho... | {
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https://api.github.com/repos/huggingface/transformers/issues/10029 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10029/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10029/comments | https://api.github.com/repos/huggingface/transformers/issues/10029/events | https://github.com/huggingface/transformers/issues/10029 | 802,225,225 | MDU6SXNzdWU4MDIyMjUyMjU= | 10,029 | Override Default Params on QnA Pipeline | {
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"I think you first need to initialize the pipeline, and then call it with any parameters you like. Example:\r\n\r\n```\r\nfrom transformers import pipeline\r\nnlp = pipeline(\"question-answering\")\r\ncontext = r\"\"\"\r\nExtractive Question Answering is the task of extracting an answer from a text given a question... | 1,612 | 1,612 | 1,612 | NONE | null | How should we override the default params of QnA Model in Pipelines?
I tried the below but it throws an error?!
 | {
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https://api.github.com/repos/huggingface/transformers/issues/10028 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10028/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10028/comments | https://api.github.com/repos/huggingface/transformers/issues/10028/events | https://github.com/huggingface/transformers/issues/10028 | 802,198,331 | MDU6SXNzdWU4MDIxOTgzMzE= | 10,028 | custom JSON data breaks run_seq2seq.py | {
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"Hi @varna9000 \r\n\r\nThe script expects jsonline format where each line is a `json` object. for ex:\r\n```\r\n{\"title\": \"summarised text\",\"body\": \"text to be summarized\"}\r\n{\"title\": \"summarised text\",\"body\": \"text to be summarized\"}\r\n```\r\n\r\nYou can find more info in the `datasets` doc here... | 1,612 | 1,695 | 1,612 | NONE | null | ## Environment info
- `transformers` version: 4.4.0.dev0
- Platform: Linux-4.19.0-11-amd64-x86_64-with-debian-10.6
- Python version: 3.7.3
- PyTorch version (GPU?): 1.7.1 (True)
- Tensorflow version (GPU?): not installed (NA)
- Using GPU in script?: <fill in>
- Using distributed or parallel set-up in script?: <f... | {
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https://api.github.com/repos/huggingface/transformers/issues/10027 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10027/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10027/comments | https://api.github.com/repos/huggingface/transformers/issues/10027/events | https://github.com/huggingface/transformers/pull/10027 | 802,138,485 | MDExOlB1bGxSZXF1ZXN0NTY4MzMyMDky | 10,027 | Bump minimum Jax requirement to 2.8.0 | {
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"You need to run `make style` to update the table deps ;-) "
] | 1,612 | 1,612 | 1,612 | MEMBER | null | # What does this PR do?
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Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
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https://api.github.com/repos/huggingface/transformers/issues/10026 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10026/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10026/comments | https://api.github.com/repos/huggingface/transformers/issues/10026/events | https://github.com/huggingface/transformers/issues/10026 | 802,138,338 | MDU6SXNzdWU4MDIxMzgzMzg= | 10,026 | T5 doubling training time per iteration from save_steps to save_steps (1st 100 steps 33s/it - then, 75s/it) | {
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"Hey @alexvaca0, \r\n\r\nCould you please provide us the command you used to train `t5-large` with `run_seq2seq.py` so that we can reproduce? ",
"Also note that the timing is just a tqdm timing, that takes into account how long each iteration takes. Since the model saving takes a long time, it's normal to see it ... | 1,612 | 1,619 | 1,619 | NONE | null | ## Environment info
- `transformers` version: 4.3.0.dev0
- Platform: Ubuntu 18.04
- Python version: 3.7
- PyTorch version (GPU?): 1.7.1 (YES)
- Tensorflow version (GPU?):
- Using GPU in script?: YES
- Using distributed or parallel set-up in script?:
### Who can help
@patrickvonplaten @patil-suraj @sgugger
... | {
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https://api.github.com/repos/huggingface/transformers/issues/10025 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10025/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10025/comments | https://api.github.com/repos/huggingface/transformers/issues/10025/events | https://github.com/huggingface/transformers/pull/10025 | 802,136,705 | MDExOlB1bGxSZXF1ZXN0NTY4MzMwNjI3 | 10,025 | Check TF ops for ONNX compliance | {
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"That's the moment to create that list :)",
"Really like the idea of improving our ONNX compatibility in a more reliable way. \r\n\r\nIn this sense, I'm not sure this is the easiest way for approaching the problem. \r\nMay be it would be more suitable to just attempt to export the model through `keras2onnx` and r... | 1,612 | 1,613 | 1,613 | CONTRIBUTOR | null | # What does this PR do?
This PR aims to check if a model is compliant with ONNX Opset12 by adding a quick test and a script. The script is only for testing a saved model while the quick test aims to be run over a manually built graph. For now, only BERT is forced to be compliant with ONNX, but the test can be unlock... | {
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https://api.github.com/repos/huggingface/transformers/issues/10024 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10024/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10024/comments | https://api.github.com/repos/huggingface/transformers/issues/10024/events | https://github.com/huggingface/transformers/issues/10024 | 802,118,039 | MDU6SXNzdWU4MDIxMTgwMzk= | 10,024 | Datasets library not suitable for huge text datasets | {
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"Yes, it does save the tokenization on disk to avoid loading everything in RAM.\r\n\r\n> It's expected that the tokenized texts occupy less space than pure texts\r\n\r\nYou want the script to destroy your dataset?\r\n\r\nThe previous version of the scripts were loading every text in RAM so I would argue using Datas... | 1,612 | 1,619 | 1,619 | NONE | null | ## Environment info
- `transformers` version: 4.3.0.dev0
- Platform: Ubuntu 18
- Python version: 3.7
- PyTorch version (GPU?): 1.7.1
- Tensorflow version (GPU?):
- Using GPU in script?:
- Using distributed or parallel set-up in script?:
### Who can help
@n1t0, @LysandreJik @patrickvonplaten @sgugger
#... | {
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https://api.github.com/repos/huggingface/transformers/issues/10023 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10023/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10023/comments | https://api.github.com/repos/huggingface/transformers/issues/10023/events | https://github.com/huggingface/transformers/issues/10023 | 802,114,278 | MDU6SXNzdWU4MDIxMTQyNzg= | 10,023 | Accessing language modeling script checkpoint model and tokenizer for finetuning | {
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"I'm trying to reproduce your error but not managing. Could you indicate the checkpoint you are using and the command you used to launch your training? Also, what is the exact content of your `checkpoint-1000` folder? It should have a `config.json` alongside a `pytorch_model.bin`.",
"Thanks @sgugger for the quick... | 1,612 | 1,619 | 1,619 | 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: 4.3.0.dev0
- Platform: Red Hat Enterprise Linux Server 7.9 (Maipo)
- Python version:Python 3.7.9
- PyTorch v... | {
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https://api.github.com/repos/huggingface/transformers/issues/10022 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10022/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10022/comments | https://api.github.com/repos/huggingface/transformers/issues/10022/events | https://github.com/huggingface/transformers/pull/10022 | 802,089,625 | MDExOlB1bGxSZXF1ZXN0NTY4MjkxNTEy | 10,022 | Added integration tests for Pytorch implementation of the FlauBert model | {
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Fixes #9950
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/ma... | {
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https://api.github.com/repos/huggingface/transformers/issues/10021 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10021/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10021/comments | https://api.github.com/repos/huggingface/transformers/issues/10021/events | https://github.com/huggingface/transformers/pull/10021 | 802,047,980 | MDExOlB1bGxSZXF1ZXN0NTY4MjU2OTEw | 10,021 | Clarify QA pipeline output based on character | {
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https://api.github.com/repos/huggingface/transformers/issues/10020 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10020/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10020/comments | https://api.github.com/repos/huggingface/transformers/issues/10020/events | https://github.com/huggingface/transformers/issues/10020 | 802,000,325 | MDU6SXNzdWU4MDIwMDAzMjU= | 10,020 | Protobuf | {
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"Just to make sure, can you try installing sentencepiece? `pip install sentencepiece`",
"Pip says\r\n`Requirement already satisfied: sentencepiece in c:\\users\\chrs\\.virtualenvs\\pythonproject-wdxdk-rq\\lib\\site-packages (0.1.95)`\r\nPipenv \"installs it\" (I guess it just links it) and writes it to the lock-f... | 1,612 | 1,703 | 1,619 | NONE | null | ## Environment info
- `transformers` version: 4.2.2
- Platform: aws/codebuild/amazonlinux2-x86_64-standard:3.0 AND Windows-10-10.0.17763-SP0
- Python version: 3.8.3 AND 3.8.7
- PyTorch version (GPU?): 1.7.1+cpu (False)
- Tensorflow version (GPU?): not installed (NA)
- Using GPU in script?: False
- Using distribu... | {
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https://api.github.com/repos/huggingface/transformers/issues/10019 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10019/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10019/comments | https://api.github.com/repos/huggingface/transformers/issues/10019/events | https://github.com/huggingface/transformers/issues/10019 | 801,946,115 | MDU6SXNzdWU4MDE5NDYxMTU= | 10,019 | Tokenizer Batch decoding of predictions obtained from model.generate in t5 | {
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"There is `batch_decode`, yes, the docs are [here](https://huggingface.co/transformers/internal/tokenization_utils.html?highlight=batch_decode#transformers.tokenization_utils_base.PreTrainedTokenizerBase.batch_decode).\r\n\r\n@sgugger I wonder if we shouldn't make the docs of this method more prominent? The \"Utili... | 1,612 | 1,664 | 1,612 | NONE | null | How to do batch decoding of sequences obtained from model.generate in t5? Is there a function available for batch decoding in tokenizer `tokenizer.batch_decode_plus` similar to batch enocding `tokenizer.batch_encode_plus`? | {
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https://api.github.com/repos/huggingface/transformers/issues/10018 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10018/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10018/comments | https://api.github.com/repos/huggingface/transformers/issues/10018/events | https://github.com/huggingface/transformers/pull/10018 | 801,724,589 | MDExOlB1bGxSZXF1ZXN0NTY3OTkwNTU3 | 10,018 | Integrate DeBERTa v2(the 1.5B model surpassed human performance on Su… | {
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"Hi @BigBird01, thank you for opening the PR! Can you let me know once you're satisfied with your changes so that we can take a look? Thank you!",
"hi, Lysandre\r\n\r\nI already tested the code and model. I think it’s good to go. Hope we can merge it into master soon, as there are a lot of people in the community... | 1,612 | 1,613 | 1,613 | CONTRIBUTOR | null | # What does this PR do?
Integrate DeBERTa v2
1. Add DeBERTa XLarge model, DeBERTa v2 XLarge model, XXLarge model
|Model | Parameters| MNLI-m/mm|
|----------------- |------------ | ---------------|
|Base |140M |88.8/88.6 |
|Large |400M |91.3/... | {
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https://api.github.com/repos/huggingface/transformers/issues/10017 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10017/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10017/comments | https://api.github.com/repos/huggingface/transformers/issues/10017/events | https://github.com/huggingface/transformers/issues/10017 | 801,691,173 | MDU6SXNzdWU4MDE2OTExNzM= | 10,017 | python utils/check_repo.py fails | {
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"Yes there are some conflicts between a latest version of jax and an older version of flax (I think uninstalling both and reinstalling with pip install -e .[dev] will solve your problem). I had the same problem earlier.\r\n@patrickvonplaten It seems to have appeared with the minimum version change in jax/flax if yo... | 1,612 | 1,612 | 1,612 | CONTRIBUTOR | null | on master after making sure I got all the deps updated (from `make style/quality/fixup`)
```
No library .py files were modified
running deps_table_update
updating src/transformers/dependency_versions_table.py
python utils/check_copies.py
python utils/check_table.py
python utils/check_dummies.py
python utils/c... | {
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https://api.github.com/repos/huggingface/transformers/issues/10016 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10016/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10016/comments | https://api.github.com/repos/huggingface/transformers/issues/10016/events | https://github.com/huggingface/transformers/issues/10016 | 801,674,377 | MDU6SXNzdWU4MDE2NzQzNzc= | 10,016 | Feature-extraction pipeline to return Tensor | {
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"Hello! Indeed, this is a valid request. Would you like to open a PR and take a stab at it?",
"@LysandreJik Hi, thanks for the fast reply ! \r\n\r\nOk will do that :) \r\nI will comment here when the PR will be ready",
"Hi @LysandreJik is there any update on this issue? If @Ierezell didn't have time, I might be... | 1,612 | 1,666 | 1,619 | CONTRIBUTOR | null | # 🚀 Feature request
Actually, to code of the feature-extraction pipeline
`transformers.pipelines.feature-extraction.FeatureExtractionPipeline l.82` return a `super().__call__(*args, **kwargs).tolist()`
Which gives a list[float] (or list[list[float]] if list[str] in input)
I guess it's to be framework agnost... | {
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https://api.github.com/repos/huggingface/transformers/issues/10015 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10015/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10015/comments | https://api.github.com/repos/huggingface/transformers/issues/10015/events | https://github.com/huggingface/transformers/issues/10015 | 801,657,024 | MDU6SXNzdWU4MDE2NTcwMjQ= | 10,015 | Do not allow fine tuning with sequence size larger than during training | {
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"Also, I for one, I find it confusing that there are two different parameters that (kind of) refer to the same thing. I was lucky that I had run my code successfully with 10+ other models from the hub and it stood out that the sizes used for embeddings during training were different. "
] | 1,612 | 1,612 | 1,612 | 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. -->
## Motivation
I just wasted some hours chasing a problem see #10010 that I think could be avoided with the following simple solution:
Do not allow `m... | {
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https://api.github.com/repos/huggingface/transformers/issues/10014 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10014/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10014/comments | https://api.github.com/repos/huggingface/transformers/issues/10014/events | https://github.com/huggingface/transformers/pull/10014 | 801,656,993 | MDExOlB1bGxSZXF1ZXN0NTY3OTM0MjE2 | 10,014 | Update doc for pre-release | {
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This PR puts the default version of the doc for the pre-release. | {
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https://api.github.com/repos/huggingface/transformers/issues/10013 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10013/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10013/comments | https://api.github.com/repos/huggingface/transformers/issues/10013/events | https://github.com/huggingface/transformers/issues/10013 | 801,602,903 | MDU6SXNzdWU4MDE2MDI5MDM= | 10,013 | [Question] Pipeline QA start_index | {
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"Hi! So that we may help you, could you provide the information related to your environment as asked in the issue template?\r\n\r\nAlso, we can't understand what's happening here because we don't know what's your text, your question, and most importantly the model you used.\r\n\r\nFinally, you instantiated a model... | 1,612 | 1,612 | 1,612 | NONE | null | I got a dictionary with 'score', 'start', 'end' and 'answer'. I want to use the 'start' and 'end' index. But the index of 'start' and 'end' are usually greater than length of encoding? Code:
text = text
question = quesiton
pipeline = pipeline('question-answering' , model = model)
answers = pipeline(context = data, ... | {
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https://api.github.com/repos/huggingface/transformers/issues/10012 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10012/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10012/comments | https://api.github.com/repos/huggingface/transformers/issues/10012/events | https://github.com/huggingface/transformers/issues/10012 | 801,568,934 | MDU6SXNzdWU4MDE1Njg5MzQ= | 10,012 | return_dict scores are inconsistent between sampling and beam search | {
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"Hey @mshuffett, \r\n\r\nI understand your concern and I think I agree with you! Would you be interested in opening a PR to fix this for `beam_search` and `group_beam_search` ? It's essentially just moving the ` + beam_scores` line further down",
"@patrickvonplaten I would be happy to but upon trying your suggest... | 1,612 | 1,659 | 1,625 | 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: 4.3.0.dev0
- Platform: Linux-5.4.0-1035-aws-x86_64-with-debian-buster-sid
- Python version: 3.7.6
- PyTorch ... | {
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https://api.github.com/repos/huggingface/transformers/issues/10011 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10011/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10011/comments | https://api.github.com/repos/huggingface/transformers/issues/10011/events | https://github.com/huggingface/transformers/issues/10011 | 801,533,012 | MDU6SXNzdWU4MDE1MzMwMTI= | 10,011 | OOM when trying to fine tune patrickvonplaten/led-large-16384-pubmed | {
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"The model is actually quite big so I would expect it to OOM, if you are doing multi GPU training, you could try `fairscale/deepspeed` integration for saving memory and speeding up the training, check out this blog post\r\nhttps://huggingface.co/blog/zero-deepspeed-fairscale",
"hi @patil-suraj thank you for your ... | 1,612 | 1,619 | 1,619 | NONE | null | I'm currently following this [notebook](https://colab.research.google.com/drive/12LjJazBl7Gam0XBPy_y0CTOJZeZ34c2v?usp=sharing#scrollTo=tLM3niQqhEzP) but instead I'm using `patrickvonplaten/led-large-16384-pubmed`
```python
tokenizer = AutoTokenizer.from_pretrained("patrickvonplaten/led-large-16384-pubmed",)
led ... | {
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https://api.github.com/repos/huggingface/transformers/issues/10010 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10010/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10010/comments | https://api.github.com/repos/huggingface/transformers/issues/10010/events | https://github.com/huggingface/transformers/issues/10010 | 801,522,180 | MDU6SXNzdWU4MDE1MjIxODA= | 10,010 | Problem fine-tuning BERTweet | {
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"Hi @ioana-blue ,\r\n\r\n`max_seq_length` is the naming \"convention\" when talking about the tokenization side, e.g. when you tokenize your tweets they will be converted to ids and normally padded to a `max_seq_length`.\r\n\r\n`max_position_embeddings` is the naming convention when talking about pre-training the m... | 1,612 | 1,612 | 1,612 | 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: 4.2.2
- Platform: Linux-3.10.0-957.el7.x86_64-x86_64-with-glibc2.10
- Python version: 3.8.3
- PyTorch versio... | {
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https://api.github.com/repos/huggingface/transformers/issues/10009 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10009/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10009/comments | https://api.github.com/repos/huggingface/transformers/issues/10009/events | https://github.com/huggingface/transformers/issues/10009 | 801,472,294 | MDU6SXNzdWU4MDE0NzIyOTQ= | 10,009 | Why two separators? | {
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"Good question! That's how the original `roberta-base` model was pretrained. I recommend you stick to the way the model was pretrained in order to obtain best performance.\r\n\r\nYou can find the [roberta paper here](https://arxiv.org/pdf/1907.11692.pdf). I believe the section 4.2 contains information regarding mod... | 1,612 | 1,612 | 1,612 | NONE | null | I want to fine-tune the model in Keras with my own dataset and I'm trying to figure out the format of the input sentences. When I take a look at `input_ids` I can see two sentence separators (`</s>` which has id 2) between each sentence after tokenization. Is this the expected behaviour? In that case, why are two separ... | {
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https://api.github.com/repos/huggingface/transformers/issues/10008 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10008/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10008/comments | https://api.github.com/repos/huggingface/transformers/issues/10008/events | https://github.com/huggingface/transformers/issues/10008 | 801,462,554 | MDU6SXNzdWU4MDE0NjI1NTQ= | 10,008 | [models] why aren't .bin files compressed for faster download? | {
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"I'm in favor of this! It's also a bit annoying to me that downloading takes that much time and I think for people that try out a bunch of different checkpoitns to decide on which model they want to use, a 60% speed-up in downloading would be very nice.",
"A related issue is that t5-11b is actually too large to b... | 1,612 | 1,643 | 1,643 | CONTRIBUTOR | null | Why are not the pretrained model files compressed?
It took ~25minutes yesterday to download 45GB t5-11b on a slow connection.
I did a quick test on a random `pytorch_model.bin` with default gzip options and it's 1/3rd less in size. And surely there must be a better compressor that can be used - but will require... | {
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https://api.github.com/repos/huggingface/transformers/issues/10007 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10007/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10007/comments | https://api.github.com/repos/huggingface/transformers/issues/10007/events | https://github.com/huggingface/transformers/pull/10007 | 801,459,824 | MDExOlB1bGxSZXF1ZXN0NTY3NzcxNjE1 | 10,007 | Fix TF LED/Longformer attentions computation | {
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"> a) tf.tile should be used instead of tf.broadcast_to &\r\n\r\nThere are two reasons for this, the first one is because `broadcast_to` does `reshape` + `tile`, here we don't need to reshape, just `tile` is enough. The second reason is that `broadcast_to` is not compliant with ONNXRuntime.\r\n\r\n> b) why we canno... | 1,612 | 1,612 | 1,612 | CONTRIBUTOR | null | # What does this PR do?
This PR fixes the test `test_saved_model_with_attentions_output` for TF Longformer and LED that was failing due to an issue in computing some shapes in the attentions.
All the slow tests are now passing 🎉 | {
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https://api.github.com/repos/huggingface/transformers/issues/10006 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10006/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10006/comments | https://api.github.com/repos/huggingface/transformers/issues/10006/events | https://github.com/huggingface/transformers/issues/10006 | 801,419,150 | MDU6SXNzdWU4MDE0MTkxNTA= | 10,006 | run_ner.py raised error | {
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"I just ran `run.sh`, but did not see this error. Could you maybe post the full stack trace?",
"Hi @patil-suraj, thanks for replying. The full stack trace is posted below.\r\n```\r\nTraceback (most recent call last):\r\n File \"run_origin.py\", line 437, in <module>\r\n main()\r\n File \"run_origin.py\", lin... | 1,612 | 1,612 | 1,612 | 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: 4.3.0.dev0
- Platform: MacOS
- Python version: 3.6
- PyTorch version (GPU?): 1.7.1
- Tensorflow version (... | {
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https://api.github.com/repos/huggingface/transformers/issues/10005 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10005/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10005/comments | https://api.github.com/repos/huggingface/transformers/issues/10005/events | https://github.com/huggingface/transformers/issues/10005 | 801,354,534 | MDU6SXNzdWU4MDEzNTQ1MzQ= | 10,005 | [License info] Longformer SQuAD finetuned model | {
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"Hey @guillaume-be, glad to know that you are offering Rust implementation of this model :)\r\n\r\nThere's no license currently, but I'll add MIT license to this model. ",
"Hello @patil-suraj ,\r\nCould you please share an update on this issue? \r\nThank you!",
"Hi @guillaume-be \r\nI just added an MIT license ... | 1,612 | 1,612 | 1,612 | CONTRIBUTOR | null | Hello @patil-suraj ,
would it be possible to provide licensing information for the pretrained model weights shared at:
https://huggingface.co/valhalla/longformer-base-4096-finetuned-squadv1
I would be interested in offering a Rust implementation for this model, but would like to know under which license this mod... | {
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https://api.github.com/repos/huggingface/transformers/issues/10004 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10004/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10004/comments | https://api.github.com/repos/huggingface/transformers/issues/10004/events | https://github.com/huggingface/transformers/issues/10004 | 801,351,689 | MDU6SXNzdWU4MDEzNTE2ODk= | 10,004 | Converting wav2vec2-base-960h to ONNX report an error while converting | {
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"Also interested in this question! ",
"Hmm, Wav2Vec2 is still a very recent addition and I don't have a good idea on an ETA for full ONNX support. However, I think your error above is due to the input that's passed to `Wav2Vec2Tokenizer` being a string instead of a speech input. So in order to make the conversion... | 1,612 | 1,705 | 1,619 | NONE | null | First of all, I want to say thanks to @patrickvonplaten for the work done in adding the model. Great job!
I tried to convert the model to ONNX but got an error, do you have any ideas how to fix it?
What I did:
`python -m transformers.convert_graph_to_onnx --framework pt --model facebook/wav2vec2-base-960h wav2v... | {
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https://api.github.com/repos/huggingface/transformers/issues/10003 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10003/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10003/comments | https://api.github.com/repos/huggingface/transformers/issues/10003/events | https://github.com/huggingface/transformers/pull/10003 | 801,342,116 | MDExOlB1bGxSZXF1ZXN0NTY3NjczOTAy | 10,003 | Hotfixing tests | {
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Blenderbot decoderonly tests, also need to remove `encoder_no_repeat_ngram_size` from their config.
<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great t... | {
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https://api.github.com/repos/huggingface/transformers/issues/10002 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10002/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10002/comments | https://api.github.com/repos/huggingface/transformers/issues/10002/events | https://github.com/huggingface/transformers/pull/10002 | 801,330,556 | MDExOlB1bGxSZXF1ZXN0NTY3NjY0MzYy | 10,002 | Cleaning up `ConversationalPipeline` to support more than DialoGPT. | {
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Currently ConversationalPipeline was heavily biased towards DialoGPT
,which is the default model for this pipeline.
This PR proposes changes to put back the modifications specific to
DialoGPT into tokenizer-specific behavior wherever possible, by
creating `_build_conversation_input_ids` functi... | {
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https://api.github.com/repos/huggingface/transformers/issues/10001 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10001/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10001/comments | https://api.github.com/repos/huggingface/transformers/issues/10001/events | https://github.com/huggingface/transformers/pull/10001 | 801,260,910 | MDExOlB1bGxSZXF1ZXN0NTY3NjA2ODM5 | 10,001 | BART CausalLM example | {
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"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/master/CONTRIBUTING.md)... | 1,612 | 1,651 | 1,619 | MEMBER | null | \ | {
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https://api.github.com/repos/huggingface/transformers/issues/10000 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10000/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10000/comments | https://api.github.com/repos/huggingface/transformers/issues/10000/events | https://github.com/huggingface/transformers/issues/10000 | 801,257,815 | MDU6SXNzdWU4MDEyNTc4MTU= | 10,000 | German DistilBertModel raises an issue | {
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"Hello, running the code does not raise an error:\r\n\r\n```py\r\n>>> from transformers import DistilBertTokenizer, DistilBertModel\r\n... import torch\r\n... \r\n... tokenizer = DistilBertTokenizer.from_pretrained('distilbert-base-german-cased')\r\n... model = DistilBertModel.from_pretrained('distilbert-base-germa... | 1,612 | 1,612 | 1,612 | NONE | null | ## Environment info
- `transformers` version: 4.2.2
- Platform: Linux-5.4.0-65-generic-x86_64-with-debian-buster-sid
- Python version: 3.7.7
- PyTorch version (GPU?): 1.8.0.dev20201202 (False)
- Tensorflow version (GPU?): not installed (NA)
- Using GPU in script?: No
- Using distributed or parallel set-up in scr... | {
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https://api.github.com/repos/huggingface/transformers/issues/9999 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9999/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9999/comments | https://api.github.com/repos/huggingface/transformers/issues/9999/events | https://github.com/huggingface/transformers/pull/9999 | 801,166,473 | MDExOlB1bGxSZXF1ZXN0NTY3NTI4ODU1 | 9,999 | Fix model templates | {
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"The failing model templates test is untrue. The second model template test (that succeeds) is true. I'll fix the github-actions YAML in a second PR.",
"No worries!"
] | 1,612 | 1,612 | 1,612 | MEMBER | null | Some things were forgotten in the model templates after merging #9128 | {
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https://api.github.com/repos/huggingface/transformers/issues/9998 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9998/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9998/comments | https://api.github.com/repos/huggingface/transformers/issues/9998/events | https://github.com/huggingface/transformers/pull/9998 | 801,137,770 | MDExOlB1bGxSZXF1ZXN0NTY3NTA1Mzg4 | 9,998 | Add DETR | {
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"I'll have a look at the git issue in the evening",
"Thanks for the PR, a few quick comments:\r\n\r\n> This is also why I defined an additional ModelOutput called BaseModelOutputWithCrossAttentionsAndIntermediateHiddenStates, which adds intermediate activations of the decoder layers as output.\r\n\r\nI will stron... | 1,612 | 1,623 | 1,619 | CONTRIBUTOR | null | # What does this PR do?
It adds the first vision-only Transformer to the library! Namely [DETR](https://arxiv.org/abs/2005.12872), End-to-End Object Detection with Transformers, by Facebook AI. The main contribution of DETR is its simplicity: it replaces a lot of hand-engineered features (which models like Faster-R-... | {
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https://api.github.com/repos/huggingface/transformers/issues/9997 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9997/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9997/comments | https://api.github.com/repos/huggingface/transformers/issues/9997/events | https://github.com/huggingface/transformers/pull/9997 | 801,130,371 | MDExOlB1bGxSZXF1ZXN0NTY3NDk5MTg3 | 9,997 | Remove unintentional "double" assignment in TF-BART like models | {
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**Description:** Replace `attn_weights = attn_wegihts = tf.reshape(...)` with `attn_weights = tf.reshape(...)` and thus remove unintentionally used "double" assignment.
<hr>
Reviewer: @jplu | {
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"Well, I'm closing this right away, since it's not a bug, but feel free to comment or ask questions in the comments.",
"(I'm adding to this issue, even though it's closed, because it's directly related)\r\n\r\nI am seeing OOM trying to get this to work: 1 GPU, SeqLength 128 (originally tried 256), buffers {2e8, 3... | 1,612 | 1,699 | 1,612 | CONTRIBUTOR | null | Managed to train t5-11b on 1x 40GB gpu w/ Deepspeed (A100-SXM4-40GB)
Thank you, @PeterAJansen for letting me use your hardware!
Thank you, @jeffra and @samyam, for not believing that it is not possible to train t5-11b on 1x 40GB gpu w/ Deepspeed and supporting me that lead me to find a few bugs in the integration... | {
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https://api.github.com/repos/huggingface/transformers/issues/9995 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9995/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9995/comments | https://api.github.com/repos/huggingface/transformers/issues/9995/events | https://github.com/huggingface/transformers/pull/9995 | 800,922,546 | MDExOlB1bGxSZXF1ZXN0NTY3MzI3Mjg4 | 9,995 | Added Integration testing for Pytorch implementation of DistilBert model from issue #9948' | {
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"@LysandreJik Hey, Thank you for merging my first pull request. Happy to help! That's exactly what happened, took me a second to realize, but it became pretty clear when I read through the make file."
] | 1,612 | 1,612 | 1,612 | CONTRIBUTOR | null | # Adds Integration testing for Pytorch implementation of DistilBert from issue #9948
*Redid pull request
*My environment wasn't set up right.
I implemented the test as described in the issue linked. I ran the test and it passed. I can extend the tests after confirmation of this current PR. Please let me kno... | {
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"Hey @itssimon \r\n\r\nFrom a quick look at your code, it seems that the fairseq model is on GPU, but the transformers model is on CPU, which could explain the huge speed difference. Could you try running it on GPU ?\r\n",
"Oh dear, how embarassing. That's it! Thanks!"
] | 1,612 | 1,612 | 1,612 | NONE | null | # 🚀 Faster batch translation with FSMT model
Currently, generating translations for multiple inputs at once is very slow using Transformers' `FSMTForConditionalGeneration` implementation. In fact it's about 10x slower than using the original FairSeq library. Can we speed this up by improving the implementation, pot... | {
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https://api.github.com/repos/huggingface/transformers/issues/9993 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9993/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9993/comments | https://api.github.com/repos/huggingface/transformers/issues/9993/events | https://github.com/huggingface/transformers/pull/9993 | 800,899,695 | MDExOlB1bGxSZXF1ZXN0NTY3MzA5NDM4 | 9,993 | [trainer] a few fixes | {
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"This is breaking sadly: with this change someone using `trainer.model` after instantiating a `Trainer` won't have it on the GPU anymore, which will make code fail. It's also best IMO if an OOM error happens sooner rather than later.\r\n\r\nNow for deepspeed I understand why this would be necessary, so we can move ... | 1,612 | 1,612 | 1,612 | CONTRIBUTOR | null | This PR:
- removes `model.to(device)` - it's not needed for DeepSpeed. but primarily this allows loading models that otherwise won't load - e.g. loading 45GB (fp32) to a 40GB GPU when using Deepspeed with fp16 - as it loads only 22GB of it. But currently we load all 45GB right away and well nothing works
- decouples... | {
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"Interesting thread, thank you for posting it! You could also post it on [the forums](https://discuss.huggingface.co) to reach more users!"
] | 1,612 | 1,612 | null | NONE | null | # 🚀 Feature request
Task heads that backpropagate deliberately reversed gradients to the encoder. A flag requesting this behavior when constructing a task head.
## Motivation
Transfer learning experiments lend themselves to questions about the extent to which two tasks rely on the same information about a wor... | {
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"That's tricky. We already have way too many channels between the forums, the blog, the documentation and soon the course so I don't want to add a new one. You can create wiki posts on the forum, so maybe use that for the iterative process where you want some collaboration? We can then link those from the doc if re... | 1,612 | 1,616 | 1,616 | CONTRIBUTOR | null | Is there a way we could have some of the docs that can be edited other than through PRs?
For example I've been working on these 2 docs:
- https://github.com/huggingface/transformers/issues/9766
- https://github.com/huggingface/transformers/issues/9824
1. So I do a lot of incremental edits and doing that via PRs... | {
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https://api.github.com/repos/huggingface/transformers/issues/9990 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9990/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9990/comments | https://api.github.com/repos/huggingface/transformers/issues/9990/events | https://github.com/huggingface/transformers/pull/9990 | 800,772,571 | MDExOlB1bGxSZXF1ZXN0NTY3MjA0MjI3 | 9,990 | Implementing the test integration of BertGeneration | {
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"Hi @LysandreJik I was wondering does the test will be for both encoder and decoder?\r\n",
"Yes, that would be for the best!"
] | 1,612 | 1,612 | 1,612 | CONTRIBUTOR | null | # What does this PR do?
this PR aims to fix issue #9947 by implementing an integration test
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"Hello! It seems this is simply passing the test?",
"> Hello! It seems this is simply passing the test?\r\n\r\nI made it to claim the issue and work on it. ",
"@LysandreJik Lxmert requires `visual_feats` and `visual_pos` could I change the `model.config.visual_feats_dim` to a smaller value like 5 or 10. \r\nEd... | 1,612 | 1,625 | 1,625 | CONTRIBUTOR | null | # What does this PR do?
this pr fix issue #9951 as it implements an integration test for LXMERT
@LysandreJik
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**Motivation:** This PR is a part of an endeavour to enable the usage of `head_mask` and `decoder_head_mask` for all encoder-decoder transformers following... | {
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This PR adds an argument to the initialization of the `PreTrainedTokenizerFast` to force the conversion from a slow tokenizer. This will be useful to help users re-build the `tokenizer.json` file for some models where we can't update faulty ones right now without breaking backward compatibili... | {
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"Training with constant_warmup would be an option since it does not do learning rate decay with respect to dataset size. But I am a bit afraid of end having a poor trained model after 72H of training.",
"Closed since the new `dataset.set_transform()` lazy loading. Thanks!"
] | 1,612 | 1,614 | 1,614 | NONE | null | # 🚀 Feature request
Hello, I am trying to pretrain from scratch a custom model on bookcorpus + wikipedia + openwebtext but I only have a 1TB disk. I tried to merge 20% of each one and then reload the training on other 20% of each, but I am having issues with the learning rate scheduler. So if I hardcode the max_ste... | {
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"Hello! Have you taken a look at how we compute the loss in the [DistilbertForTokenClassificationModel](https://github.com/huggingface/transformers/blob/master/src/transformers/models/distilbert/modeling_distilbert.py#L807-L819)? If you pass the `labels` to the model, your loss will get computed automatically. \r\n... | 1,612 | 1,619 | 1,619 | NONE | null | I want to fine tune my `DistilBertModel` just like `DistilBertForTokenClassification` for NER task by using nn.Module and building classifier on top myself.
But the problem is - I do not understand how to calculate loss function. In [official tutorial](https://huggingface.co/transformers/custom_datasets.html) it is... | {
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"Before merging, please take a look at the failing tests.",
"> LGTM, this is indeed a clean fix. Do we know why our BlenderBot still behaves incorrectly compared to ParlAI?\r\n> \r\nI need to look deeper, by default they use FP16 and final scores are still different in order of magnitude (I'm expecting they corre... | 1,612 | 1,612 | 1,612 | CONTRIBUTOR | null | # What does this PR do?
Blenderbot results seemed off compared to original ParlAI script:
`https://parl.ai/projects/recipes/`. Notably the model seems
to repeat a lot what was said during the conversation.
The actual problem was that `no_repeat_ngram_size` actually applies
to the `encoder_input_ids` but HF's `no_repe... | {
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"@LysandreJik Need your help here. Not sure, why test cases are failing.",
"opening new PR."
] | 1,612 | 1,612 | 1,612 | CONTRIBUTOR | null | Added integration tests for Pytorch implementation of the FlauBert model
Fixes #9950
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/ma... | {
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"@LysandreJik Need your help here. Not sure, why test cases are failing.",
"closing this PR, due to git conflict."
] | 1,612 | 1,612 | 1,612 | CONTRIBUTOR | null | Added integration tests for Pytorch implementation of the ELECTRA model
Fixes #9949
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/mas... | {
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"This issue has been automatically marked as stale and been closed because it has not had recent activity. Thank you for your contributions.\n\nIf you think this still needs to be addressed please comment on this thread."
] | 1,612 | 1,614 | 1,614 | 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: 4.2.2
### Who can help
Probably @n1t0 or @LysandreJik (AutoTokenizer)
## To reproduce
Steps to repr... | {
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Fixes #9945
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/mast... | {
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Fixes #9956
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/ma... | {
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Fixes #9955
Before submitting
This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
Did you read the contributor guideline,
Pull Request section?
Was this discussed/approved via a Githu... | {
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Fixes #9927 | {
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https://api.github.com/repos/huggingface/transformers/issues/9976 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9976/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9976/comments | https://api.github.com/repos/huggingface/transformers/issues/9976/events | https://github.com/huggingface/transformers/pull/9976 | 800,371,929 | MDExOlB1bGxSZXF1ZXN0NTY2ODY4MTE4 | 9,976 | Added integration tests for TensorFlow implementation of the ALBERT model | {
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Fixes #9946
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/m... | {
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https://api.github.com/repos/huggingface/transformers/issues/9975 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9975/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9975/comments | https://api.github.com/repos/huggingface/transformers/issues/9975/events | https://github.com/huggingface/transformers/pull/9975 | 800,370,198 | MDExOlB1bGxSZXF1ZXN0NTY2ODY2NjYy | 9,975 | TF DistilBERT integration tests | {
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Fixes #9953
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](https://github.com/huggingface/transformers/bl... | {
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"For this use case, it's best to subclass the `Trainer` and override the `evaluate` method. An example of this is given for question-answering [here](https://github.com/huggingface/transformers/blob/master/examples/question-answering/trainer_qa.py) where we need to post-process the predictions using the original da... | 1,612 | 1,706 | 1,612 | NONE | null | # 🚀 Feature request
In Trainer's training loop, the `compute_metrics` function takes a `EvalPrediction(predictions=preds, label_ids=label_ids)` object as input.
It should also be able to use `inputs['attention_mask']` to mask the irrelevant predictions (those for which attention_mask is 0).
## Motivation
I am wo... | {
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"This issue has been automatically marked as stale and been closed because it has not had recent activity. Thank you for your contributions.\n\nIf you think this still needs to be addressed please comment on this thread.",
"Reopened as this might still be in the works.",
"This issue has been automatically marke... | 1,612 | 1,651 | 1,625 | MEMBER | null | {
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https://api.github.com/repos/huggingface/transformers/issues/9972 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9972/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9972/comments | https://api.github.com/repos/huggingface/transformers/issues/9972/events | https://github.com/huggingface/transformers/pull/9972 | 800,147,880 | MDExOlB1bGxSZXF1ZXN0NTY2NjgxNDM2 | 9,972 | Fix GroupedLinearLayer in TF ConvBERT | {
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https://api.github.com/repos/huggingface/transformers/issues/9971 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9971/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9971/comments | https://api.github.com/repos/huggingface/transformers/issues/9971/events | https://github.com/huggingface/transformers/issues/9971 | 800,090,495 | MDU6SXNzdWU4MDAwOTA0OTU= | 9,971 | DebertaForSequenceClassification documents examples report RuntimeError: Index tensor must have the same number of dimensions as input tensor | {
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"You shouldn't unsqueeze your labels, because the `labels` should just be a tensor of shape `(batch_size,)`. "
] | 1,612 | 1,613 | 1,613 | 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:
- Platform: macos
- Python version: 3.8.3
- PyTorch version (GPU?): no
- Tensorflow version (GPU?): no
- ... | {
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https://api.github.com/repos/huggingface/transformers/issues/9970 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9970/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9970/comments | https://api.github.com/repos/huggingface/transformers/issues/9970/events | https://github.com/huggingface/transformers/pull/9970 | 799,998,290 | MDExOlB1bGxSZXF1ZXN0NTY2NTU3OTYw | 9,970 | [research proj] [lxmert] remove bleach dependency | {
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https://github.com/huggingface/transformers/security/dependabot/examples/research_projects/lxmert/requirements... | {
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https://api.github.com/repos/huggingface/transformers/issues/9969 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9969/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9969/comments | https://api.github.com/repos/huggingface/transformers/issues/9969/events | https://github.com/huggingface/transformers/pull/9969 | 799,932,269 | MDExOlB1bGxSZXF1ZXN0NTY2NTAzNTQ2 | 9,969 | fix steps_in_epoch variable in trainer when using max_steps | {
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"And remove a repeated sentence in README"
] | 1,612 | 1,612 | 1,612 | CONTRIBUTOR | null | # What does this PR do?
This PR fix the calculation of `steps_in_epoch` in `trainer.py`
The 'step' in `steps_in_epoch` means one backward
The 'step' in `max_steps` means one parameter updating (taking gradient accumulation into account)
This bug does not affect training process, just make logging info weired... | {
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] | 1,612 | 1,614 | 1,614 | NONE | null | I am wondering if you guys could add support for disk memory management when running large transformer models. At least when running on my laptop with limited DRAM, it is not feasible to fully materialize some of the larger models (T5-3b e.g. or even T5-large) in DRAM, especially if there are other memory intensive tas... | {
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https://api.github.com/repos/huggingface/transformers/issues/9967 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9967/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9967/comments | https://api.github.com/repos/huggingface/transformers/issues/9967/events | https://github.com/huggingface/transformers/pull/9967 | 799,810,373 | MDExOlB1bGxSZXF1ZXN0NTY2NDAxOTc3 | 9,967 | Added an integration test for the Pytorch implementation of the DistilBERT model from issue #9948 | {
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"Hello! Why did you close your branch? The integration test looks good, you only need to run `make fixup` at the root of your clone to apply the quality requirements.",
"@LysandreJik Hi, sorry I was getting an error when i ran 'make fixup' and I was trying to figure it out. Ill finish it up tonight, unless you kn... | 1,612 | 1,612 | 1,612 | CONTRIBUTOR | null |
# Adds Integration testing for pytorch implementation of DistilBert from issue #9948
I implemented the test as described in the issue linked. I ran the test and it passed. I can extend the tests after confirmation of this current PR. Please let me know what you think. Thank you
Fixes #9948
## Before su... | {
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"Looks like bleach is no longer a dependency, so this is no longer needed."
] | 1,612 | 1,612 | 1,612 | CONTRIBUTOR | null | Bumps [bleach](https://github.com/mozilla/bleach) from 3.1.5 to 3.3.0.
<details>
<summary>Changelog</summary>
<p><em>Sourced from <a href="https://github.com/mozilla/bleach/blob/master/CHANGES">bleach's changelog</a>.</em></p>
<blockquote>
<h2>Version 3.3.0 (February 1st, 2021)</h2>
<p><strong>Backwards incompatible ch... | {
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https://api.github.com/repos/huggingface/transformers/issues/9965 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9965/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9965/comments | https://api.github.com/repos/huggingface/transformers/issues/9965/events | https://github.com/huggingface/transformers/issues/9965 | 799,584,309 | MDU6SXNzdWU3OTk1ODQzMDk= | 9,965 | [trainer] new in pytorch: `torch.optim._multi_tensor` faster optimizers | {
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"I did a quick benchmark, with `--sharded_ddp --fp16` and just `--fp16` and there is no visible difference . Perhaps it is more visible in a different kind of training/model combination.\r\n\r\nTesting HF `AdamW` vs. `torch.optim._multi_tensor.AdamW`\r\n\r\n```\r\n# benchmark with just --fp16\r\n\r\n# baseline HF... | 1,612 | 1,642 | null | CONTRIBUTOR | null | Back in September pytorch introduced `torch.optim._multi_tensor` https://github.com/pytorch/pytorch/pull/43507 which should be much more efficient for situations with lots of small feature tensors (`transformers`) and thus should show an appreciable speed up in training. If someone is interested in the progress of this... | {
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https://api.github.com/repos/huggingface/transformers/issues/9964 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9964/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9964/comments | https://api.github.com/repos/huggingface/transformers/issues/9964/events | https://github.com/huggingface/transformers/pull/9964 | 799,577,002 | MDExOlB1bGxSZXF1ZXN0NTY2MTk4NjE1 | 9,964 | Add head_mask, decoder_head_mask, cross_head_mask to ProphetNet | {
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"This issue has been automatically marked as stale and been closed because it has not had recent activity. Thank you for your contributions.\n\nIf you think this still needs to be addressed please comment on this thread.",
"Reopened as this might still be in the works.",
"This PR is required for #10605.\r\n\r\n... | 1,612 | 1,619 | 1,619 | CONTRIBUTOR | null | This PR implements `head_mask`, `decoder_head_mask` and `cross_head_mask` for ProphetNet (and Longformer as there's a copy dependency) and it is the follow-up to the open issue #9814.
**Motivation:** This PR is a part of an endeavour to enable the usage of `head_mask` and `decoder_head_mask` for all encoder-decoder... | {
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"This issue has been automatically marked as stale and been closed because it has not had recent activity. Thank you for your contributions.\n\nIf you think this still needs to be addressed please comment on this thread."
] | 1,612 | 1,614 | 1,614 | NONE | null | ## Environment info
- `transformers` version: 4.2.2
- Platform: Windows-10-10.0.19041-SP0
- Python version: 3.8.3
- PyTorch version (GPU?): 1.7.1 (False)
- Tensorflow version (GPU?): 2.4.0 (False)
- Using GPU in script?: No
- Using distributed or parallel set-up in script?: No
### Who can help
@n1t0, @Lysand... | {
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https://api.github.com/repos/huggingface/transformers/issues/9962 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9962/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9962/comments | https://api.github.com/repos/huggingface/transformers/issues/9962/events | https://github.com/huggingface/transformers/issues/9962 | 799,477,355 | MDU6SXNzdWU3OTk0NzczNTU= | 9,962 | Deepseep configs keys probelm | {
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"cc @stas00 ",
"Could you please explain what is the problem that you're encountering?\r\n\r\nThese keys **shouldn't be in the config**, so len() will be > 0 if they are and then the assert happens, so I'm not sure why you're trying to reverse the logic.\r\n\r\n```\r\nconfig = {\r\n 'train_batch_size': 1,\r\n... | 1,612 | 1,612 | 1,612 | NONE | null | https://github.com/huggingface/transformers/blob/24881008a6743e958cc619133b8ee6994ed1cb8c/src/transformers/integrations.py#L288
I guess it should be `if len([x for x in bs_keys if x in config.keys()]) <= 0: ` or `if not len([x for x in bs_keys if x in config.keys()]) <= 0: ` | {
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https://api.github.com/repos/huggingface/transformers/issues/9961 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9961/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9961/comments | https://api.github.com/repos/huggingface/transformers/issues/9961/events | https://github.com/huggingface/transformers/issues/9961 | 799,396,208 | MDU6SXNzdWU3OTkzOTYyMDg= | 9,961 | What is the correct way to use Adafactor? | {
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"This issue has been automatically marked as stale and been closed because it has not had recent activity. Thank you for your contributions.\n\nIf you think this still needs to be addressed please comment on this thread."
] | 1,612 | 1,614 | 1,614 | NONE | null | Hi, from the papers I've seen that Adafactor is typically used with no learning rate (as in Pegasus paper), however, when I try to execute run_seq2seq.py or seq2seq/finetune_trainer.py from your examples, and set --adafactor parameter, without specifying learning rate (for no learning rate), it uses the default 3e-05. ... | {
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https://api.github.com/repos/huggingface/transformers/issues/9960 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9960/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9960/comments | https://api.github.com/repos/huggingface/transformers/issues/9960/events | https://github.com/huggingface/transformers/issues/9960 | 799,358,251 | MDU6SXNzdWU3OTkzNTgyNTE= | 9,960 | How to resize RobertaLMHead with pretrained weights? | {
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"You should do `model.resize_token_embeddings(50266)`.\r\n\r\nHere is the [documentation of that method](https://huggingface.co/transformers/main_classes/model.html#transformers.PreTrainedModel.resize_token_embeddings).",
"When I do ```model.resize_token_embeddings(50266)```, embedding size changes from 50265 to ... | 1,612 | 1,652 | 1,612 | CONTRIBUTOR | null | Hi, I'm trying to train my model with a new token 'name', but it keeps throwing size mismatch error.
I don't know how to **resize RobertaLMHead** while loading pretrained weights from 'roberta-base'
Setting Tokenizer
```
tokenizer = RobertaTokenizer.from_pretrained('roberta-base')
tokenizer.add_tokens('<name>'... | {
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https://api.github.com/repos/huggingface/transformers/issues/9959 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9959/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9959/comments | https://api.github.com/repos/huggingface/transformers/issues/9959/events | https://github.com/huggingface/transformers/issues/9959 | 799,320,658 | MDU6SXNzdWU3OTkzMjA2NTg= | 9,959 | Problem while initializing custom model with added tokens | {
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I think the problem is that my model has pretrained models inside initialization.
Model Structure
```
class MaskedLM(RobertaPreTrainedModel):
def __init__(self, config):
super().__init__(confi... | {
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https://api.github.com/repos/huggingface/transformers/issues/9958 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9958/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9958/comments | https://api.github.com/repos/huggingface/transformers/issues/9958/events | https://github.com/huggingface/transformers/issues/9958 | 799,290,581 | MDU6SXNzdWU3OTkyOTA1ODE= | 9,958 | tokenizer is slow when adding new tokens | {
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"Hi @davidnarganes,\r\nSomeone from HF correct me if I am wrong, but you'll probably get a faster response posting this issue in the Tokenizer repo:\r\nhttps://github.com/huggingface/tokenizers\r\n\r\nBest of luck",
"This issue has been automatically marked as stale and been closed because it has not had recent a... | 1,612 | 1,614 | 1,614 | NONE | null | Hi,
The tokenizer is slow when adding new tokens even with the Fast class:
```
from transformers import GPT2Config, TFGPT2LMHeadModel, GPT2TokenizerFast, GPT2Tokenizer
# Maybe this url for the files:
# https://huggingface.co/transformers/v3.1.0/_modules/transformers/tokenization_gpt2.html
paths = dict()
path... | {
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https://api.github.com/repos/huggingface/transformers/issues/9957 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9957/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9957/comments | https://api.github.com/repos/huggingface/transformers/issues/9957/events | https://github.com/huggingface/transformers/issues/9957 | 799,172,564 | MDU6SXNzdWU3OTkxNzI1NjQ= | 9,957 | [mBART] one slow integration test is failing on master | {
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"Yeah this test is failing for a while now (even before the Bart split PR) -> think we should just adapt the text",
"This issue has been stale for 1 month.",
"Is this fixed? I think we just need to update the test here",
"This issue has been automatically marked as stale because it has not had recent activity... | 1,612 | 1,622 | 1,622 | MEMBER | null | The `test_enro_generate_batch` slow test is now failing on master
command
```bash
RUN_SLOW=1 pytest tests/test_modeling_mbart.py::MBartEnroIntegrationTest::test_enro_generate_batch
```
Traceback
```
tests/test_modeling_mbart.py F [100%]
===========================... | {
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The [test_modeling_tf_mpnet.py](https://github.com/huggingface/transformers/blob/master/tests/test_modeling_tf_mpnet.py) file should be updated to include integr... | {
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https://api.github.com/repos/huggingface/transformers/issues/9955 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9955/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9955/comments | https://api.github.com/repos/huggingface/transformers/issues/9955/events | https://github.com/huggingface/transformers/issues/9955 | 799,140,367 | MDU6SXNzdWU3OTkxNDAzNjc= | 9,955 | [Good first issue] MobileBERT TensorFlow Integration tests | {
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The [test_modeling_tf_mobilebert.py](https://github.com/huggingface/transformers/blob/master/tests/test_modeling_tf_mobilebert.py) file should be updated to... | {
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https://api.github.com/repos/huggingface/transformers/issues/9954 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9954/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9954/comments | https://api.github.com/repos/huggingface/transformers/issues/9954/events | https://github.com/huggingface/transformers/issues/9954 | 799,139,403 | MDU6SXNzdWU3OTkxMzk0MDM= | 9,954 | [Good first issue] LXMERT TensorFlow Integration tests | {
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"@LysandreJik is anyone working on it? I would like to work.",
"Hi! @sadakmed already has a close to finished implementation that we'll merge in the coming days.\r\n\r\nThank you for offering to contribute!",
"Hi, shouldn't this issue be closed now ? Since a valid integration test was merged ?",
"Yes, it sho... | 1,612 | 1,635 | 1,635 | MEMBER | null | The TensorFlow implementation of the LXMERT model currently has no integration tests. This is problematic as the behavior can diverge without being noticed.
The [test_modeling_tf_lxmert.py](https://github.com/huggingface/transformers/blob/master/tests/test_modeling_tf_lxmert.py) file should be updated to include int... | {
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https://api.github.com/repos/huggingface/transformers/issues/9953 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9953/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9953/comments | https://api.github.com/repos/huggingface/transformers/issues/9953/events | https://github.com/huggingface/transformers/issues/9953 | 799,138,489 | MDU6SXNzdWU3OTkxMzg0ODk= | 9,953 | [Good first issue] DistilBERT TensorFlow Integration tests | {
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The [test_modeling_tf_distilbert.py](https://github.com/huggingface/transformers/blob/master/tests/test_modeling_tf_distilbert.py) file should be updated to... | {
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https://api.github.com/repos/huggingface/transformers/issues/9952 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9952/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9952/comments | https://api.github.com/repos/huggingface/transformers/issues/9952/events | https://github.com/huggingface/transformers/issues/9952 | 799,135,325 | MDU6SXNzdWU3OTkxMzUzMjU= | 9,952 | [Good first issue] MPNet PyTorch Integration tests | {
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"@LysandreJik \"test_modeling_mpnet.py\" it already have integration test.",
"You're correct! That's on me, thanks for letting me know."
] | 1,612 | 1,612 | 1,612 | MEMBER | null | The PyTorch implementation of the MPNet model currently has no integration tests. This is problematic as the behavior can diverge without being noticed.
The [test_modeling_mpnet.py](https://github.com/huggingface/transformers/blob/master/tests/test_modeling_mpnet.py) file should be updated to include integration tes... | {
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"@LysandreJik I'll tackle this one if that's cool?",
"Hi @jmwoloso! @sadakmed has already contributed a proposal in #9989 that unfortunately slipped through the net - could you give it a look and let me know if that's what you had in mind?",
"Hi @LysandreJik! I originally saw #9954 and was going to make mine ba... | 1,612 | 1,687 | 1,687 | MEMBER | null | The PyTorch implementation of the LXMERT model currently has no integration tests. This is problematic as the behavior can diverge without being noticed.
The [test_modeling_lxmert.py](https://github.com/huggingface/transformers/blob/master/tests/test_modeling_lxmert.py) file should be updated to include integration ... | {
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https://api.github.com/repos/huggingface/transformers/issues/9950 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9950/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9950/comments | https://api.github.com/repos/huggingface/transformers/issues/9950/events | https://github.com/huggingface/transformers/issues/9950 | 799,133,283 | MDU6SXNzdWU3OTkxMzMyODM= | 9,950 | [Good first issue] FlauBERT PyTorch Integration tests | {
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The [test_modeling_flaubert.py](https://github.com/huggingface/transformers/blob/master/tests/test_modeling_flaubert.py) file should be updated to include integr... | {
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https://api.github.com/repos/huggingface/transformers/issues/9949 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9949/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9949/comments | https://api.github.com/repos/huggingface/transformers/issues/9949/events | https://github.com/huggingface/transformers/issues/9949 | 799,131,133 | MDU6SXNzdWU3OTkxMzExMzM= | 9,949 | [Good first issue] ELECTRA PyTorch Integration tests | {
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The [test_modeling_electra.py](https://github.com/huggingface/transformers/blob/master/tests/test_modeling_electra.py) file should be updated to include integrati... | {
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https://api.github.com/repos/huggingface/transformers/issues/9948 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9948/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9948/comments | https://api.github.com/repos/huggingface/transformers/issues/9948/events | https://github.com/huggingface/transformers/issues/9948 | 799,130,112 | MDU6SXNzdWU3OTkxMzAxMTI= | 9,948 | [Good first issue] DistilBERT PyTorch Integration tests | {
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The [test_modeling_distilbert.py](https://github.com/huggingface/transformers/blob/master/tests/test_modeling_distilbert.py) file should be updated to include ... | {
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https://api.github.com/repos/huggingface/transformers/issues/9947 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9947/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9947/comments | https://api.github.com/repos/huggingface/transformers/issues/9947/events | https://github.com/huggingface/transformers/issues/9947 | 799,124,942 | MDU6SXNzdWU3OTkxMjQ5NDI= | 9,947 | [Good first issue] BERT Generation PyTorch Integration tests | {
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"@LysandreJik I think this should be closed by now!",
"You're correct! Thanks again @sadakmed!"
] | 1,612 | 1,612 | 1,612 | MEMBER | null | The PyTorch implementation of the BERT for generation model currently has no integration tests. This is problematic as the behavior can diverge without being noticed.
The [test_modeling_bert_generation.py](https://github.com/huggingface/transformers/blob/master/tests/test_modeling_bert_generation.py) file should be ... | {
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https://api.github.com/repos/huggingface/transformers/issues/9946 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9946/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9946/comments | https://api.github.com/repos/huggingface/transformers/issues/9946/events | https://github.com/huggingface/transformers/issues/9946 | 799,119,884 | MDU6SXNzdWU3OTkxMTk4ODQ= | 9,946 | [Good first issue] ALBERT TensorFlow Integration tests | {
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The [test_modeling_tf_albert.py](https://github.com/huggingface/transformers/blob/master/tests/test_modeling_tf_albert.py) file should be updated to include int... | {
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"Hi Can I have a go at this issue?",
"Please do!"
] | 1,612 | 1,612 | 1,612 | MEMBER | null | The PyTorch implementation of the ALBERT model currently has no integration tests. This is problematic as the behavior can diverge without being noticed.
The [test_modeling_albert.py](https://github.com/huggingface/transformers/blob/master/tests/test_modeling_albert.py) file should be updated to include integration ... | {
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https://api.github.com/repos/huggingface/transformers/issues/9944 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9944/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9944/comments | https://api.github.com/repos/huggingface/transformers/issues/9944/events | https://github.com/huggingface/transformers/pull/9944 | 799,071,751 | MDExOlB1bGxSZXF1ZXN0NTY1Nzc4ODgx | 9,944 | [Bart models] fix typo in naming | {
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<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
Then, please replace this w... | {
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https://api.github.com/repos/huggingface/transformers/issues/9943 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9943/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9943/comments | https://api.github.com/repos/huggingface/transformers/issues/9943/events | https://github.com/huggingface/transformers/pull/9943 | 799,066,587 | MDExOlB1bGxSZXF1ZXN0NTY1Nzc0Nzg0 | 9,943 | ALBERT Tokenizer integration test | {
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"Good point! "
] | 1,612 | 1,612 | 1,612 | MEMBER | null | Implements an integration test for the ALBERT tokenizer. | {
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https://api.github.com/repos/huggingface/transformers/issues/9942 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9942/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9942/comments | https://api.github.com/repos/huggingface/transformers/issues/9942/events | https://github.com/huggingface/transformers/pull/9942 | 799,035,375 | MDExOlB1bGxSZXF1ZXN0NTY1NzQ5NTgx | 9,942 | Fix Longformer and LED | {
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"I'm working on this 👍 Should this belong to this PR or to another one?",
"I think it can be done in this PR.",
"I have added a quick test for graph execution with `inputs_embeds`. Later I will add the same for XLA as well but as all the models are not compliant I will handle this in same than the \"usual\" X... | 1,612 | 1,691 | 1,612 | CONTRIBUTOR | null | # What does this PR do?
This PR fix TF Longformer and LED when `inputs_embeds`/`decoder_inputs_embeds` are used as main input instead of `input_ids`/`decoder_input_ids`.
Here a quick test that shows the bug for Longformer:
```python
from transformers.models.longformer.modeling_tf_longformer import TFLongformerM... | {
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https://api.github.com/repos/huggingface/transformers/issues/9941 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9941/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9941/comments | https://api.github.com/repos/huggingface/transformers/issues/9941/events | https://github.com/huggingface/transformers/issues/9941 | 798,999,786 | MDU6SXNzdWU3OTg5OTk3ODY= | 9,941 | Converting pretrained tf2 bert model to pytorch model for using FillMaskPipeline | {
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"This issue has been automatically marked as stale and been closed because it has not had recent activity. Thank you for your contributions.\n\nIf you think this still needs to be addressed please comment on this thread."
] | 1,612 | 1,684 | 1,614 | NONE | null | null | {
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https://api.github.com/repos/huggingface/transformers/issues/9940 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9940/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9940/comments | https://api.github.com/repos/huggingface/transformers/issues/9940/events | https://github.com/huggingface/transformers/pull/9940 | 798,975,935 | MDExOlB1bGxSZXF1ZXN0NTY1Njk5NTUz | 9,940 | [wip] [pipeline parallel] t5 - experiment #2 | {
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"This issue has been automatically marked as stale and been closed because it has not had recent activity. Thank you for your contributions.\n\nIf you think this still needs to be addressed please comment on this thread.",
"go away bad bot",
"too long. closing."
] | 1,612 | 1,622 | 1,622 | CONTRIBUTOR | null | The first attempt at t5/pp using pytorch-nightly Pipe https://github.com/huggingface/transformers/pull/9765 was successful to a degree, but at the moment can't be combined with any other Parallel solutions.
All the examples of Pipeline conversion use trivial examples or models that lend easily to being converted to ... | {
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https://api.github.com/repos/huggingface/transformers/issues/9939 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9939/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9939/comments | https://api.github.com/repos/huggingface/transformers/issues/9939/events | https://github.com/huggingface/transformers/issues/9939 | 798,881,174 | MDU6SXNzdWU3OTg4ODExNzQ= | 9,939 | Can't import pipeline | {
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"I can't reproduce on version 4.2.x or `master`.\r\n\r\nThis may have something to do with your environment. Can you let me know if the following threads help you out:\r\n\r\n- https://stackoverflow.com/questions/58585690/python-cannot-import-unknown-location\r\n- https://forum.learncodethehardway.com/t/importerror... | 1,612 | 1,648 | 1,612 | NONE | null | - `transformers` 4.2
- Platform: MacOS
- Python version: 3.7.9
- PyTorch version (GPU?): CPU
- Tensorflow version (GPU?): CPU
- Using GPU in script?: No
- Using distributed or parallel set-up in script?: No
- Pip Version: Latest
I can't import the pipeline function:
```
from transformers import pipeline
``... | {
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https://api.github.com/repos/huggingface/transformers/issues/9938 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9938/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9938/comments | https://api.github.com/repos/huggingface/transformers/issues/9938/events | https://github.com/huggingface/transformers/issues/9938 | 798,863,341 | MDU6SXNzdWU3OTg4NjMzNDE= | 9,938 | trainer_seq2seq.py Question | {
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"Hi @caincdiy \r\n\r\nAll the example scripts using `Trainer` or it's a subclass use `python -m torch.distributed.launch` to launch multi GPU training. See https://github.com/huggingface/transformers/tree/master/examples#distributed-training-and-mixed-precision\r\n\r\nAlso the [forum](https://discuss.huggingface.c... | 1,612 | 1,612 | 1,612 | NONE | null | Hi, does trainer_seq2seq.py in transformers/src support multi GPU training? Thank you | {
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https://api.github.com/repos/huggingface/transformers/issues/9937 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9937/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9937/comments | https://api.github.com/repos/huggingface/transformers/issues/9937/events | https://github.com/huggingface/transformers/pull/9937 | 798,770,103 | MDExOlB1bGxSZXF1ZXN0NTY1NTI5MjMx | 9,937 | ConvBERT: minor fixes for conversion script | {
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"Pinging @abhishekkrthakur and @sgugger :hugs: ",
"Weird that relative imports failed. Anyways, thanks for the PR. The model_type in hub has been fixed."
] | 1,612 | 1,612 | 1,612 | COLLABORATOR | null | Hi,
the conversion script for ConvBERT throws the following error message when using it:
```bash
Traceback (most recent call last):
File "convert_convbert_original_tf1_checkpoint_to_pytorch.py", line 19, in <module>
from ...utils import logging
ImportError: attempted relative import with no known parent... | {
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https://api.github.com/repos/huggingface/transformers/issues/9936 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9936/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9936/comments | https://api.github.com/repos/huggingface/transformers/issues/9936/events | https://github.com/huggingface/transformers/pull/9936 | 798,767,395 | MDExOlB1bGxSZXF1ZXN0NTY1NTI2OTU3 | 9,936 | ConvBERT: minor fixes for conversion script | {
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"I hate this forking/syncing stuff with GitHub 🙈\r\n\r\nPreparing a clean PR now..."
] | 1,612 | 1,612 | 1,612 | COLLABORATOR | null | Hi,
the conversion script for ConvBERT throws the following error message when using it:
```bash
Traceback (most recent call last):
File "convert_convbert_original_tf1_checkpoint_to_pytorch.py", line 19, in <module>
from ...utils import logging
ImportError: attempted relative import with no known parent... | {
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https://api.github.com/repos/huggingface/transformers/issues/9935 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9935/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9935/comments | https://api.github.com/repos/huggingface/transformers/issues/9935/events | https://github.com/huggingface/transformers/pull/9935 | 798,756,204 | MDExOlB1bGxSZXF1ZXN0NTY1NTE3Nzc5 | 9,935 | Use compute_loss in prediction_step | {
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As requested in #9915, this PR uses `compute_loss` in the `prediction_step` method of `Trainer`, so it properly computes losses when the user have customized the way to do that. It does require a new argument to `compute_loss` to return the outputs on top of the loss for the prediction loop, ... | {
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https://api.github.com/repos/huggingface/transformers/issues/9934 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9934/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9934/comments | https://api.github.com/repos/huggingface/transformers/issues/9934/events | https://github.com/huggingface/transformers/pull/9934 | 798,734,738 | MDExOlB1bGxSZXF1ZXN0NTY1NDk5ODUy | 9,934 | Bump numpy | {
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As pointed out on the [forums](https://discuss.huggingface.co/t/typeerror-full-like-got-an-unexpected-keyword-argument-shape/2981), the method `np.full_like` used in the evaluation of the `Trainer` with the argument `shape=` does not work for all versions of numpy. According to the [numpy doc... | {
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"This issue has been automatically marked as stale and been closed because it has not had recent activity. Thank you for your contributions.\n\nIf you think this still needs to be addressed please comment on this thread.",
"I ran into the same problem (I am also working on building inputs for pretrained models). ... | 1,612 | 1,629 | 1,614 | CONTRIBUTOR | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: 3.5.1
- `tokenizers` version: 0.9.3
- Platform: Linux
- Python version: 3.7.2
- PyTorch version (GPU?):
- ... | {
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https://api.github.com/repos/huggingface/transformers/issues/9932 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9932/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9932/comments | https://api.github.com/repos/huggingface/transformers/issues/9932/events | https://github.com/huggingface/transformers/pull/9932 | 798,719,209 | MDExOlB1bGxSZXF1ZXN0NTY1NDg2NjM3 | 9,932 | Fix 9918 | {
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This PR addresses the problem shown in #9918 by:
- adding the documentation of the `encode` method to the `PreTrainedTokenizer` and `PreTrainedTokenizerFast` (it is in all their subclasses already)
- adding the "What are input IDs" link where missing in some models docstrings.
In passing... | {
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https://api.github.com/repos/huggingface/transformers/issues/9931 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9931/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9931/comments | https://api.github.com/repos/huggingface/transformers/issues/9931/events | https://github.com/huggingface/transformers/issues/9931 | 798,653,009 | MDU6SXNzdWU3OTg2NTMwMDk= | 9,931 | [2D Parallelism] Tracking feasibility | {
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"Zero-3 has recently been announced\r\nhttps://news.ycombinator.com/item?id=26447018\r\n> ZeRO-3 Offload goes beyond the state-of-the-art hybrid 3D-parallelism (data, model and pipeline parallelism combined). While 3D Parallelism is limited by the aggregate GPU memory, ZeRO-3 Offload can exploit both GPU and CPU me... | 1,612 | 1,618 | null | CONTRIBUTOR | null | ### Background
ZeRO-DP (ZeRO Data Parallel) and PP (Pipeline Parallelism) provide each a great memory saving over multiple GPUs. Each 1D allows for a much more efficient utilization of the gpu memory, but it's still not enough for very big models - sometimes not even feasible with any of the existing hardware. e.g. ... | {
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