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https://api.github.com/repos/huggingface/transformers/issues/5920 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5920/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5920/comments | https://api.github.com/repos/huggingface/transformers/issues/5920/events | https://github.com/huggingface/transformers/pull/5920 | 662,100,311 | MDExOlB1bGxSZXF1ZXN0NDUzNjkyMzI0 | 5,920 | Create README.md | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/5920?src=pr&el=h1) Report\n> Merging [#5920](https://codecov.io/gh/huggingface/transformers/pull/5920?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/32883b310ba30d72e67bb2ebb5847888f03a90a8&el=desc) will **not chan... | 1,595 | 1,595 | 1,595 | CONTRIBUTOR | null | {
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https://api.github.com/repos/huggingface/transformers/issues/5919 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5919/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5919/comments | https://api.github.com/repos/huggingface/transformers/issues/5919/events | https://github.com/huggingface/transformers/pull/5919 | 662,095,613 | MDExOlB1bGxSZXF1ZXN0NDUzNjg4MjQ3 | 5,919 | [examples/seq2seq]: add --label_smoothing option | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/5919?src=pr&el=h1) Report\n> Merging [#5919](https://codecov.io/gh/huggingface/transformers/pull/5919?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/4781afd045b4722e7f28347f1c4f42a56a4550e8&el=desc) will **decrease... | 1,595 | 1,595 | 1,595 | CONTRIBUTOR | null | cc @patil-suraj
This seems to improve BLEU score by ~2pts!
- also adds --early_stopping_patience command line arg
- fixes MBartDataset src,tgt flipping bug
- adds `--early_stopping_patience` command line arg for PL.
- wandb now looks for shell variable `$WANDB_PROJECT_NAME` | {
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https://api.github.com/repos/huggingface/transformers/issues/5918 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5918/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5918/comments | https://api.github.com/repos/huggingface/transformers/issues/5918/events | https://github.com/huggingface/transformers/issues/5918 | 662,030,418 | MDU6SXNzdWU2NjIwMzA0MTg= | 5,918 | Add Fast Transformers - Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention | {
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"Hi guys, let us know how we can help and also kindly add @apoorv2904 to the author list.\r\n\r\nAlthough the model weights are nothing particularly useful we do provide them for our colab so let us know if they are needed and how to provide them.",
"This issue has been automatically marked as stale because it ha... | 1,595 | 1,616 | 1,609 | NONE | null | # 🌟 New model addition
## Model description
The Fast Transformers repo introduces a fast transformer model based on work to improve attention published in two papers:
- Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention (https://arxiv.org/abs/2006.16236)
- Fast Transformers with Cl... | {
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https://api.github.com/repos/huggingface/transformers/issues/5917 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5917/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5917/comments | https://api.github.com/repos/huggingface/transformers/issues/5917/events | https://github.com/huggingface/transformers/issues/5917 | 662,029,138 | MDU6SXNzdWU2NjIwMjkxMzg= | 5,917 | convert_roberta: AttributeError when converting CamemBERT model.pt to pytorch_model.bin | {
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"maybe @sshleifer has an idea",
"I can help! \r\nOn fairseq master (as of 5/28/20), that class seems to no longer have a `decoder` attribute.\r\n\r\nI think you want to change the `roberta.model.decoder` references to `self.model.encoder`, but hard to know without seeing the `state_dict`/handling the model intera... | 1,595 | 1,596 | 1,596 | NONE | null | Hi,
I trained a CamemBERT model with the fairseq library which gave me the following files:
- dict.txt: vocabulary coming from the sentencepiece model
- sentencepiece.bpe.model
- model.pt
Now I am trying to convert the model.pt into pytorch_model.bin and config.json as mentionned here ([fairseq/issues#1514](ht... | {
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https://api.github.com/repos/huggingface/transformers/issues/5916 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5916/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5916/comments | https://api.github.com/repos/huggingface/transformers/issues/5916/events | https://github.com/huggingface/transformers/pull/5916 | 662,021,414 | MDExOlB1bGxSZXF1ZXN0NDUzNjIyNTkx | 5,916 | Clarify arg class | {
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"👍 "
] | 1,595 | 1,595 | 1,595 | COLLABORATOR | null | Just clarifying which dataset we're talking about. | {
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https://api.github.com/repos/huggingface/transformers/issues/5915 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5915/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5915/comments | https://api.github.com/repos/huggingface/transformers/issues/5915/events | https://github.com/huggingface/transformers/issues/5915 | 661,994,213 | MDU6SXNzdWU2NjE5OTQyMTM= | 5,915 | Incompatible tensor type when running BART on TPU | {
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"Let's consolidate the discussion to #5895 .\r\nDefinitely an issue!"
] | 1,595 | 1,595 | 1,595 | NONE | null | # 🐛 Bug
## Information
Model I am using (Bert, XLNet ...): `facebook/bart-large`
Language I am using the model on (English, Chinese ...): English
The problem arises when using:
* [x] the official example scripts: (give details below)
* [ ] my own modified scripts: (give details below)
The tasks I am w... | {
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https://api.github.com/repos/huggingface/transformers/issues/5914 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5914/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5914/comments | https://api.github.com/repos/huggingface/transformers/issues/5914/events | https://github.com/huggingface/transformers/pull/5914 | 661,992,925 | MDExOlB1bGxSZXF1ZXN0NDUzNTk3NzQw | 5,914 | Add AlbertForPretraining to doc | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/5914?src=pr&el=h1) Report\n> Merging [#5914](https://codecov.io/gh/huggingface/transformers/pull/5914?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/f19751117d54a4dd677c614f6e400a7ee49b3f24&el=desc) will **increase... | 1,595 | 1,595 | 1,595 | COLLABORATOR | null | Document models that were absent. | {
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https://api.github.com/repos/huggingface/transformers/issues/5913 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5913/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5913/comments | https://api.github.com/repos/huggingface/transformers/issues/5913/events | https://github.com/huggingface/transformers/pull/5913 | 661,978,721 | MDExOlB1bGxSZXF1ZXN0NDUzNTg1MzEx | 5,913 | [Fix] seq2seq pack_dataset.py actually packs | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/5913?src=pr&el=h1) Report\n> :exclamation: No coverage uploaded for pull request base (`master@f197511`). [Click here to learn what that means](https://docs.codecov.io/docs/error-reference#section-missing-base-commit).\n> The diff coverage is `n/a`.\n... | 1,595 | 1,595 | 1,595 | CONTRIBUTOR | null | Added stronger test (that failed before small code fixes).
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https://api.github.com/repos/huggingface/transformers/issues/5912 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5912/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5912/comments | https://api.github.com/repos/huggingface/transformers/issues/5912/events | https://github.com/huggingface/transformers/pull/5912 | 661,942,363 | MDExOlB1bGxSZXF1ZXN0NDUzNTUzMjYx | 5,912 | Improve doc of use_cache | {
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"Hi @sshleifer, I will continue to push code to this PR and make it runnable asap.",
"@sshleifer The code has been uploaded. (1) The test is runnable in TF2 and loads AESLC checkpoints successfully with correct outputs. (2) Code of models and layers (including decoding, beam search) are all in a single file which... | 1,595 | 1,602 | 1,602 | CONTRIBUTOR | null | * Add PEGASUS in TF2 | {
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https://api.github.com/repos/huggingface/transformers/issues/5910 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5910/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5910/comments | https://api.github.com/repos/huggingface/transformers/issues/5910/events | https://github.com/huggingface/transformers/issues/5910 | 661,769,786 | MDU6SXNzdWU2NjE3Njk3ODY= | 5,910 | QA Pipeline: Key Error due to predicting a token in question | {
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"I also have this -- and related issues on v3.0.0, 3.0.2\r\n\r\non v3.0.0 I get Key Error for sequence terminal tokens -- I think this may be to do with removing special tokens but not masking their positions or due to a truncation error -- may be truncating one too few?\r\non v3.0.2 I get Key Error for tokens at t... | 1,595 | 1,604 | 1,604 | CONTRIBUTOR | null | # 🐛 Bug
## Information
Model: deepset/roberta-base-squad2
Language: English
The problem arises when using: QA inference via pipeline
This seems to be a very similar issue to #5711
The pipeline throws an exception when the model predicts a token that is not part of the document, in this case it seems to be... | {
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https://api.github.com/repos/huggingface/transformers/issues/5909 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5909/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5909/comments | https://api.github.com/repos/huggingface/transformers/issues/5909/events | https://github.com/huggingface/transformers/pull/5909 | 661,722,337 | MDExOlB1bGxSZXF1ZXN0NDUzMzYxNDIx | 5,909 | Make Tokenizers Faster When There Are Many Additional Special Tokens | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/5909?src=pr&el=h1) Report\n> Merging [#5909](https://codecov.io/gh/huggingface/transformers/pull/5909?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/82dd96cae74797be0c1d330566df7f929214b278&el=desc) will **decrease... | 1,595 | 1,601 | 1,601 | CONTRIBUTOR | null | `PreTrainedTokenizer.unique_no_split_tokens` used to be a list that contains all special tokens. During tokenization, the tokenizer will repeatedly check `if sub_text not in self.unique_no_split_tokens` or `if token not in self.unique_no_split_tokens`. List lookups will significantly slow down tokenization if the list... | {
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https://api.github.com/repos/huggingface/transformers/issues/5908 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5908/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5908/comments | https://api.github.com/repos/huggingface/transformers/issues/5908/events | https://github.com/huggingface/transformers/issues/5908 | 661,704,434 | MDU6SXNzdWU2NjE3MDQ0MzQ= | 5,908 | ImportError: cannot import name 'DataCollatorForPermutationLanguageModeling' | {
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"Hi @krannnn , `DataCollatorForPermutationLanguageModeling` is added after 3.0, you will need to install from source if you want to run examples",
"Hi @patil-suraj , out of curiosity, how do you install it? What do you mean by you will need to install from source?"
] | 1,595 | 1,597 | 1,595 | NONE | null | # 🐛 Bug
## Information
Model I am using (Bert, XLNet ...):
Language I am using the model on English
The problem arises when using:
* [ ] the official example scripts: [`run_language_modeling.py`](https://github.com/huggingface/transformers/blob/master/examples/language-modeling/run_language_modeling.py)... | {
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"Hi @vyaslkv , what is your transformers version ? I tried this from master branch and it worked.",
"'3.0.2' Thanks for the quick reply, which version worked for you",
"I also tried with the master branch by uninstalling the transformers and then using the repo\r\n",
"worked!! Thanks @patil-suraj :)",
"can ... | 1,595 | 1,596 | 1,596 | NONE | null | from transformers import AutoTokenizer, AutoModelWithLMHead
tokenizer = AutoTokenizer.from_pretrained("mrm8488/t5-base-finetuned-wikiSQL-sql-to-en")
model = AutoModelWithLMHead.from_pretrained("mrm8488/t5-base-finetuned-wikiSQL-sql-to-en") | {
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https://api.github.com/repos/huggingface/transformers/issues/5906 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5906/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5906/comments | https://api.github.com/repos/huggingface/transformers/issues/5906/events | https://github.com/huggingface/transformers/issues/5906 | 661,653,844 | MDU6SXNzdWU2NjE2NTM4NDQ= | 5,906 | Word frequencies in TransfoXLTokenizer | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n"
] | 1,595 | 1,601 | 1,601 | NONE | null | I was wondering if it is still possible to access word frequencies through the populated counter of TransfoXLTokenizer? For example, `tokenizer = TransfoXLTokenizer.from_pretrained('transfo-xl-wt103')` seems to have an empty counter. This is referring to:
"So p_M(S) is just the output of the model right?
For p_u(... | {
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https://api.github.com/repos/huggingface/transformers/issues/5905 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5905/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5905/comments | https://api.github.com/repos/huggingface/transformers/issues/5905/events | https://github.com/huggingface/transformers/issues/5905 | 661,609,187 | MDU6SXNzdWU2NjE2MDkxODc= | 5,905 | Retrain/reuse fine-tuned models on a different set of labels | {
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"@kevin-yauris I had a similar problem with retraining fine-tuned model. Here is what I have done. \r\n\r\nDo not pass config parameter when creating your model with `from_pretrained()`. Just initialize it with something like this: \r\n```\r\nmodel = AutoModelForTokenClassification.from_pretrained(\r\n m... | 1,595 | 1,610 | 1,606 | NONE | null | # ❓ Questions & Help
## Details
Hello,
I am wondering is it possible to reuse or retrain a fine-tuned model with a new set of labels(the set of labels contain new labels or the new set of labels is a subset of the labels used to fine-tune the model)?
What I try to do is fine-tune pre-trained models for a task (e.... | {
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https://api.github.com/repos/huggingface/transformers/issues/5904 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5904/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5904/comments | https://api.github.com/repos/huggingface/transformers/issues/5904/events | https://github.com/huggingface/transformers/issues/5904 | 661,484,966 | MDU6SXNzdWU2NjE0ODQ5NjY= | 5,904 | RobertaTokenizerFast unexpectedly quits when creating a TextDataset | {
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"@n1t0 ",
"This seems to work for me, I guess it crashes because you don't have enough memory. Unfortunately `TextDataset` has not been optimized for fast tokenizers yet, so it does a lot more work than needed when using them. It's probably better to use python tokenizers for now with `TextDataset`.\r\n\r\nAlso, ... | 1,595 | 1,601 | 1,601 | NONE | null | # 🐛 Bug
When creating a `TextDataset` using `RobertaTokenizerFast` my program unexpectedly dies. (Not so with `RobertaTokenizer`).
## Information
Model I am using: RoBERTa
Language I am using the model on: English
The problem arises when using:
* [ ] the official example scripts: (give details below)
... | {
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https://api.github.com/repos/huggingface/transformers/issues/5903 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5903/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5903/comments | https://api.github.com/repos/huggingface/transformers/issues/5903/events | https://github.com/huggingface/transformers/pull/5903 | 661,474,875 | MDExOlB1bGxSZXF1ZXN0NDUzMTQ0MDA1 | 5,903 | [WIP] Add Theseus Compression | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/5903?src=pr&el=h1) Report\n> Merging [#5903](https://codecov.io/gh/huggingface/transformers/pull/5903?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/492bb6aa486856f8243dfeb533ed1b23e996e403?el=desc) will **decrease... | 1,595 | 1,651 | 1,623 | CONTRIBUTOR | null | `transformers.theseus` provides the implementation for BERT-of-Theseus, LayerDrop and Mixout.
Original BERT-of-Theseus authors: @JetRunner @MichaelZhouwang
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https://api.github.com/repos/huggingface/transformers/issues/5902 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5902/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5902/comments | https://api.github.com/repos/huggingface/transformers/issues/5902/events | https://github.com/huggingface/transformers/issues/5902 | 661,394,792 | MDU6SXNzdWU2NjEzOTQ3OTI= | 5,902 | 🐛 BART : Same representations for different `<s>` tokens | {
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"Very strange indeed. Nothing comes to mind, but if you can show the fairseq discrepancies I can take a look.",
"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n",
"@astariul Hi I also e... | 1,595 | 1,633 | 1,601 | CONTRIBUTOR | null | # 🐛 Bug
## Context
I'm trying to use BART for a sentence classification task. So I encode the input with the following format :
```
<s> Sen1 </s> <s> Sen2 </s> <s> Sen3 </s> ...
```
And use `<s>` as sentence representation (from the encoder, not decoder). Then I classify these representations.
---
... | {
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"training loss should be printed every 500 iteration, but there is no log in pretraing.\r\n(parser.add_argument(\"--logsteps\", help=\"logging steps\", type=int, default=500)",
"Hi! This wasn't intentional, so we've fixed it with #6097. If you rerun the script, you should see the losses now."
] | 1,595 | 1,595 | 1,595 | NONE | null |
thanks in advance.
I trained roberta model from scratch.
But I cant check the training loss during pretraining.
I did it by refering below link.
https://colab.research.google.com/github/huggingface/blog/blob/master/notebooks/01_how_to_train.ipynb
in above link, loss is printed every 500 steps,
but when I did,... | {
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"You need to pass `output_hidden_states=True` when calling your model, or set this option when instantiating it. For instance, if you're using a pretrained model:\r\n```\r\nfrom transformers import DistilBertModel\r\nmodel = DistilBertModel.from_pretrained('distilbert-base-uncased', output_hidden_states=True)\r\n``... | 1,595 | 1,595 | 1,595 | NONE | null | I would like to get all 12 Bertlayer outputs. Can you please help? | {
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https://api.github.com/repos/huggingface/transformers/issues/5899 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5899/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5899/comments | https://api.github.com/repos/huggingface/transformers/issues/5899/events | https://github.com/huggingface/transformers/issues/5899 | 661,263,261 | MDU6SXNzdWU2NjEyNjMyNjE= | 5,899 | Smaller output vocabulary for GPT-2 | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n"
] | 1,595 | 1,601 | 1,601 | NONE | null | # ❓ Questions & Help
I noticed that by default, GPT2LMHeadModel returns prediction scores of shape (batch_size, sequence_length, config.vocab_size) ([docs link](https://huggingface.co/transformers/model_doc/gpt2.html#gpt2lmheadmodel)). Is there any way for me to limit the output vocabulary to only a subset of words?
... | {
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https://api.github.com/repos/huggingface/transformers/issues/5898 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5898/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5898/comments | https://api.github.com/repos/huggingface/transformers/issues/5898/events | https://github.com/huggingface/transformers/issues/5898 | 661,205,588 | MDU6SXNzdWU2NjEyMDU1ODg= | 5,898 | Fix pack_dataset.py | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n"
] | 1,595 | 1,601 | 1,601 | CONTRIBUTOR | null | This isn't really a github issue, but follow pytorch/fairseq#2120 and see if it works. If it does, make it easy to use! | {
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"Do you want to wait for a stable release for the torch-xla? Also shouldn't the end user pass in \"(num_tpu_cores=8)\" when they are creating the lightning's trainer. It should automatically handle the rest for us i think. Also we have \"bloat16\" for TPUs as well.",
"It totally could work out of the box. In whic... | 1,595 | 1,601 | 1,601 | CONTRIBUTOR | null | - [ ] test the code on tpu
- [ ] if it doesn't work well: change code as little as possible to get it working.
- [ ] add a script/command that works | {
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"Working command after MbartConfig change:\r\n```bash\r\nexport d=mbart_benchmark_data\r\npython examples/benchmarking/run_benchmark.py \\\r\n --models facebook/mbart-large-en-ro \\\r\n --log_filename $d/log.txt \\\r\n --inference_memory_csv \\ \r\n $d/inference_memory.csv \\ \r\n --train_memory_csv $d/train_m... | 1,595 | 1,601 | 1,601 | CONTRIBUTOR | null | To reproduce:
- execute a command that results in 'N/A'
- long traceback describes tuple unpacking. The real problem is what caused the N/A and is far above in a small logger.error statement.
Example Command:
```bash
python examples/benchmarking/run_benchmark.py --models facebook/mbart-large-en-ro
```
Traceb... | {
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"fixed indirectly by #6441 "
] | 1,595 | 1,597 | 1,597 | CONTRIBUTOR | null | - [ ] undo benchmarking changes
- [ ] publish working command + results | {
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https://api.github.com/repos/huggingface/transformers/issues/5890 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5890/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5890/comments | https://api.github.com/repos/huggingface/transformers/issues/5890/events | https://github.com/huggingface/transformers/issues/5890 | 660,881,257 | MDU6SXNzdWU2NjA4ODEyNTc= | 5,890 | How to finetune distillbart from distilbart-cnn-12-6 checkpoint using cnn_daily mail or gigawords dataset? | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n"
] | 1,595 | 1,601 | 1,601 | NONE | null | I would like to ask about how to finetune distillbart on gigaword and cnn dailymail with the starting checkpoint distilbart-cnn-12-6.
I did use the gigaword dataset provided by tensorflow but it replaces numbers by this character: "#", as a result, my summaries have # instead of numbers, is it normal that it has those... | {
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"You can't load directly a TF checkpoint if it's not been generated by the TensorFlow side of the library (which can't be the case here since you're using a TF1 checkpoint and the lib requires TF2.0). You probably have to use the [conversion script](https://huggingface.co/transformers/converting_tensorflow_models.h... | 1,595 | 1,600 | 1,600 | NONE | null | # ❓ Questions & Help
when I run run_generation.py（I use TF1.14 fine tuned gpt2）,the program is broken with the error message AttributeError: 'GPT2LMHeadModel' object has no attribute 'h'
Environment:
WIN10
pytorch 1.3.1
python 3.6
Part of the code has been modified
![image](https://user-images.githubuserco... | {
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https://api.github.com/repos/huggingface/transformers/issues/5888 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5888/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5888/comments | https://api.github.com/repos/huggingface/transformers/issues/5888/events | https://github.com/huggingface/transformers/issues/5888 | 660,554,698 | MDU6SXNzdWU2NjA1NTQ2OTg= | 5,888 | Reading transformer package from local codes and NOT the pip installed version | {
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"How did you install the package ?\r\n\r\nAccording to the [README](https://github.com/huggingface/transformers#from-source) you should do :\r\n\r\n```console\r\ngit clone https://github.com/huggingface/transformers\r\ncd transformers\r\npip install -e .\r\n```\r\n",
"Hi ,\r\n\r\nApologies for raising this issue,... | 1,595 | 1,595 | 1,595 | NONE | null | Hi @sshleifer ,
There seem to be a problem of python package structure. I am getting an error similar to a previous issue (https://github.com/huggingface/transformers/issues/5303) but with the token_classification/run_ner.py file.
File "examples/token-classification/run_ner.py", line 42, in
from modeling_auto im... | {
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"Spent an hour testing the new version on real data:\r\n\r\n(1) `./train_mbart_enro_multigpu` works!\r\n(2) `./train_mbart_enro_multigpu --logger_name wandb` ~doesn't work~ works.\r\n(3) trainer.test seems to try to call `main` again, and then runs into an \"output directory\" already exists error.\r\n\r\nIt hangs ... | 1,595 | 1,603 | 1,603 | CONTRIBUTOR | null | This is not run by CI, but if you go on a machine with multiple GPU, you will see an interesting unittest failure:
```bash
pytest examples -k multigpu
```
```
===================================== FAILURES ======================================
_____________________ TestSummarizationDistiller.test_multigpu ... | {
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"Actually never mind. At least GPT2 does the shifting internally. "
] | 1,595 | 1,595 | 1,595 | NONE | null | Hi,
Shouldn't the labels be shifted 1 step right in the data collation step at -https://github.com/huggingface/transformers/blob/09a2f40684f77e62d0fd8485fe9d2d610390453f/src/transformers/data/data_collator.py#L88
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/5885?src=pr&el=h1) Report\n> Merging [#5885](https://codecov.io/gh/huggingface/transformers/pull/5885?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/42fddacd1cac3cc57c3326aa51a409f5090b1261?el=desc) will **decrease... | 1,595 | 1,599 | 1,599 | CONTRIBUTOR | null | Allow `padding_text` for any generative model.
### Motivations
* some models require some text at the beginning such as GPT-2 which should always have a white space. GPT-2 model could now have `config.padding_text` set to `" "` to ensure this is done
* this argument adds more customization to huggingface inferen... | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/5884?src=pr&el=h1) Report\n> Merging [#5884](https://codecov.io/gh/huggingface/transformers/pull/5884?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/4b506a37e3e0ff679235961ba14dd9397843ef3a&el=desc) will **increase... | 1,595 | 1,595 | 1,595 | CONTRIBUTOR | null | Add `aliosm/ComVE*` model cards. These models were part of this work: https://sentic.net/transformer-models-for-commonsense-reasoning.pdf. | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/5883?src=pr&el=h1) Report\n> Merging [#5883](https://codecov.io/gh/huggingface/transformers/pull/5883?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/3653d01f2af0389207f2239875a8ceae41bf0598&el=desc) will **increase... | 1,595 | 1,595 | 1,595 | CONTRIBUTOR | null | Reopening #5770 again | {
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https://api.github.com/repos/huggingface/transformers/issues/5880 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5880/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5880/comments | https://api.github.com/repos/huggingface/transformers/issues/5880/events | https://github.com/huggingface/transformers/issues/5880 | 660,149,070 | MDU6SXNzdWU2NjAxNDkwNzA= | 5,880 | How to get probabilities from MarianMT models? | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n"
] | 1,595 | 1,601 | 1,601 | NONE | null | Hey,
I try to use MarianMT models for distillation, but I didn't found way to get raw probabilities from model.
I use model as in examples:
```
from transformers import MarianMTModel, MarianTokenizer
class Translator:
def __init__(self, src, dst):
model_name = f'Helsinki-NLP/opus-mt-{src}-{dst}'
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/5879?src=pr&el=h1) Report\n> Merging [#5879](https://codecov.io/gh/huggingface/transformers/pull/5879?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/eae6d8d14f1d25d62c3fe9e7e410607bbaf69787&el=desc) will **increase... | 1,595 | 1,595 | 1,595 | CONTRIBUTOR | null | {
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https://api.github.com/repos/huggingface/transformers/issues/5877 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5877/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5877/comments | https://api.github.com/repos/huggingface/transformers/issues/5877/events | https://github.com/huggingface/transformers/pull/5877 | 660,137,830 | MDExOlB1bGxSZXF1ZXN0NDUxOTIwNjkx | 5,877 | Create README.md | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/5871?src=pr&el=h1) Report\n> Merging [#5871](https://codecov.io/gh/huggingface/transformers/pull/5871?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/eae6d8d14f1d25d62c3fe9e7e410607bbaf69787&el=desc) will **increase... | 1,595 | 1,595 | 1,595 | CONTRIBUTOR | null | {
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https://api.github.com/repos/huggingface/transformers/issues/5870 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5870/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5870/comments | https://api.github.com/repos/huggingface/transformers/issues/5870/events | https://github.com/huggingface/transformers/pull/5870 | 660,115,710 | MDExOlB1bGxSZXF1ZXN0NDUxOTAwNDAw | 5,870 | [cleanup] Less aggressive warnings about checkpoint mismatches | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/5870?src=pr&el=h1) Report\n> Merging [#5870](https://codecov.io/gh/huggingface/transformers/pull/5870?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/dad5e12e54bc2cf80a24b3430b5c847fc213a73e&el=desc) will **decrease... | 1,595 | 1,595 | 1,595 | CONTRIBUTOR | null | These are often spurious, so, in general, I made them shorter, and more about what happened than how to fix it.
Also, removed warnings for missing keys in seq2seq checkpoints. LM head is often made on the fly (to make the download cheaper).
Some examples:
- key 'encoder.version' in `bart.large` should not be tr... | {
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"This sounds reasonable",
"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n"
] | 1,595 | 1,601 | 1,601 | NONE | null | # 🐛 Bug
Currently, if user failed to download a model, they will receive uninformative and confusing message (see #5787). This is most hurting for users behind a proxy. This happens because of this [line](https://github.com/huggingface/transformers/blob/0533cf470659b97c6279bd04f65536a1ec88404a/src/transformers/file... | {
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https://api.github.com/repos/huggingface/transformers/issues/5867 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5867/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5867/comments | https://api.github.com/repos/huggingface/transformers/issues/5867/events | https://github.com/huggingface/transformers/pull/5867 | 660,099,777 | MDExOlB1bGxSZXF1ZXN0NDUxODg1Njkz | 5,867 | Update tokenizers to 0.8.1.rc to fix Mac OS X issues | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/5867?src=pr&el=h1) Report\n> Merging [#5867](https://codecov.io/gh/huggingface/transformers/pull/5867?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/ba2400189b2242620868096ae49babf93bd9ce00&el=desc) will **decrease... | 1,595 | 1,650 | 1,595 | CONTRIBUTOR | null | As mentioned in huggingface/tokenizers#321 tokenizers and thus transformers fails on macOS 10.11+. The issue was fixed in `0.8.1.rc2` so this PR updates the dependency to the new version.
I ran all tests on my mac with Mac OS High Sierra 10.13.6 as desribed in the [readme](https://github.com/huggingface/transformers... | {
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https://api.github.com/repos/huggingface/transformers/issues/5866 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5866/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5866/comments | https://api.github.com/repos/huggingface/transformers/issues/5866/events | https://github.com/huggingface/transformers/pull/5866 | 660,093,253 | MDExOlB1bGxSZXF1ZXN0NDUxODc5NzA3 | 5,866 | T5Tokenizer adds EOS token if not already added | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/5866?src=pr&el=h1) Report\n> Merging [#5866](https://codecov.io/gh/huggingface/transformers/pull/5866?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/7e6397a7d8e7433aa4c4cafba98e08e5c73f087c?el=desc) will **decrease... | 1,595 | 1,603 | 1,598 | CONTRIBUTOR | null | T5 Tokenizer should add `</s>` to the end of sequences. Since some users are doing this on their own, this PR only adds `</s>` if it has already been added.
On my machine, this makes zero shot validation BLEU go from 27.87 -> 27.65. Since this change is needed for finetuning, and the empirical difference is smal... | {
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https://api.github.com/repos/huggingface/transformers/issues/5865 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5865/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5865/comments | https://api.github.com/repos/huggingface/transformers/issues/5865/events | https://github.com/huggingface/transformers/pull/5865 | 660,089,280 | MDExOlB1bGxSZXF1ZXN0NDUxODc2MDI4 | 5,865 | [seq2seq] distillation.py accepts trainer arguments | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/5865?src=pr&el=h1) Report\n> Merging [#5865](https://codecov.io/gh/huggingface/transformers/pull/5865?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/529850ae7bca0ff388778c3c0d66240834cf56c3&el=desc) will **not chan... | 1,595 | 1,595 | 1,595 | CONTRIBUTOR | null | cc @nateraw | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n"
] | 1,595 | 1,602 | 1,602 | NONE | null | # 🐛 Bug
update: Found what is causing this bug
Your optimization [code](https://github.com/huggingface/transformers/blob/master/src/transformers/optimization.py#L70) uses a linear scheduler for learning rate with warmup which is **dependent on the total number of training steps** (== no of batches*total epochs).... | {
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https://api.github.com/repos/huggingface/transformers/issues/5862 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5862/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5862/comments | https://api.github.com/repos/huggingface/transformers/issues/5862/events | https://github.com/huggingface/transformers/issues/5862 | 659,930,066 | MDU6SXNzdWU2NTk5MzAwNjY= | 5,862 | Potential security vulnerability regarding Hosted Interface API? | {
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"Your `requests` syntax is incorrect, you're not actually sending the request body as json.\r\n\r\nThis works:\r\n```python\r\nanswer = requests.post(\r\n \"https://api-inference.huggingface.co/models/distilbert-base-cased-distilled-squad\",\r\n json={\"question\": \"What is my name?\", \"context\": \"My name... | 1,595 | 1,595 | 1,595 | NONE | null | # 🐛 Bug
## Information
Model I am using (Bert, XLNet ...): distilbert-base-cased-distilled-squad with huggingface.co's API
Language I am using the model on (English, Chinese ...): English
The problem arises when using:
* [ ] the official example scripts: (give details below)
* [X] my own modified scripts... | {
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"cc @nateraw ",
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<!-- The GitHub issue tracker is primarly intended for bugs, feature requests,
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https://api.github.com/repos/huggingface/transformers/issues/5859 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5859/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5859/comments | https://api.github.com/repos/huggingface/transformers/issues/5859/events | https://github.com/huggingface/transformers/issues/5859 | 659,841,909 | MDU6SXNzdWU2NTk4NDE5MDk= | 5,859 | [seq2seq] organize commands into scripts/ subdir | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n"
] | 1,595 | 1,601 | 1,601 | CONTRIBUTOR | null | whoever takes this, please test them after! | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/5858?src=pr&el=h1) Report\n> Merging [#5858](https://codecov.io/gh/huggingface/transformers/pull/5858?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/615be03f9d961c0c9722fe10e7830e011066772e&el=desc) will **decrease... | 1,595 | 1,595 | 1,595 | CONTRIBUTOR | null | The correct argument name should be `gpus`.
The change fixed the following error:
```bash
warnings.warn(*args, **kwargs)
Traceback (most recent call last):
File "/home/.conda/envs/hf/lib/py... | {
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https://api.github.com/repos/huggingface/transformers/issues/5857 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5857/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5857/comments | https://api.github.com/repos/huggingface/transformers/issues/5857/events | https://github.com/huggingface/transformers/pull/5857 | 659,683,551 | MDExOlB1bGxSZXF1ZXN0NDUxNTAxNTE1 | 5,857 | Update README.md | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/5857?src=pr&el=h1) Report\n> Merging [#5857](https://codecov.io/gh/huggingface/transformers/pull/5857?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/615be03f9d961c0c9722fe10e7830e011066772e&el=desc) will **decrease... | 1,595 | 1,595 | 1,595 | CONTRIBUTOR | null | Add nlp dataset used | {
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https://api.github.com/repos/huggingface/transformers/issues/5856 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5856/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5856/comments | https://api.github.com/repos/huggingface/transformers/issues/5856/events | https://github.com/huggingface/transformers/pull/5856 | 659,682,507 | MDExOlB1bGxSZXF1ZXN0NDUxNTAwNTQ2 | 5,856 | Update README.md | {
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"👍 awesome\r\n",
"Even if dataset is not in `nlp` yet, you can still link to it, as it will display a missing dataset page with a call to action to add it to nlp: e.g. https://huggingface.co/datasets/dlkfjldsfjdslf"
] | 1,595 | 1,595 | 1,595 | CONTRIBUTOR | null | Add dataset used as it is now part of nlp package | {
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https://api.github.com/repos/huggingface/transformers/issues/5855 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5855/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5855/comments | https://api.github.com/repos/huggingface/transformers/issues/5855/events | https://github.com/huggingface/transformers/pull/5855 | 659,654,472 | MDExOlB1bGxSZXF1ZXN0NDUxNDc1NDIy | 5,855 | docs: fix model sharing file names | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/5855?src=pr&el=h1) Report\n> Merging [#5855](https://codecov.io/gh/huggingface/transformers/pull/5855?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/8279471506fab5733dab3e2d3a1542010c976d8a?el=desc) will **decrease... | 1,595 | 1,601 | 1,601 | CONTRIBUTOR | null | Documentation references `vocab.txt` while I think it should be `vocab.json`.
Additional notes:
* I also have `training_args.bin` and `merges.txt` which I understand are not needed to be uploaded
* I didn't get `added_tokens.json` but I understand it's not always present | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n"
] | 1,595 | 1,601 | 1,601 | NONE | null | # ❓ Questions & Help
<!-- The GitHub issue tracker is primarly intended for bugs, feature requests,
new models and benchmarks, and migration questions. For all other questions,
we direct you to the Hugging Face forum: https://discuss.huggingface.co/ .
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https://api.github.com/repos/huggingface/transformers/issues/5852 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5852/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5852/comments | https://api.github.com/repos/huggingface/transformers/issues/5852/events | https://github.com/huggingface/transformers/issues/5852 | 659,422,542 | MDU6SXNzdWU2NTk0MjI1NDI= | 5,852 | Exception in device=TPU:1: 'ascii' codec can't decode byte 0xc2 in position 37: ordinal not in range(128) | {
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"...it also happens on CPU",
"I solved it. If you happen to use a Google Cloud VM with the `Debian GNU/Linux 9 Stretch + PyTorch/XLA` image then locale is not set correctly. Add the following to `/etc/default/locale`:\r\n```\r\nLC_ALL=en_US.UTF-8\r\n```",
"...thank you, it works!"
] | 1,595 | 1,595 | 1,595 | NONE | null | I get the error message when trying to run the seq2seq example on 8 TPU cores on XSUM and bart-large.
Run this from `examples/seq2seq`:
```
export PYTHONPATH="../":"${PYTHONPATH}"
python finetune.py \
--learning_rate=3e-5 \
--gpus 0 \
--n_tpu_cores 8 \
--do_train \
--do_predict \
-... | {
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https://api.github.com/repos/huggingface/transformers/issues/5851 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5851/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5851/comments | https://api.github.com/repos/huggingface/transformers/issues/5851/events | https://github.com/huggingface/transformers/issues/5851 | 659,410,150 | MDU6SXNzdWU2NTk0MTAxNTA= | 5,851 | Covid-19 - TPU V3-1024 - T5 11B: Tensorflow to Pytorch conversion failed | {
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"@thomwolf @LysandreJik @julien-c @patrickvonplaten @VictorSanh @sshleifer @mfuntowicz @sgugger your feedback will be highly appreciated.",
"I have checked the \"operative_config.gin\", and this is the encoder/decoder configuration 👍 \r\n\r\n```\r\n\r\n# Parameters for decoder/LayerStack:\r\n# =================... | 1,595 | 1,597 | 1,597 | CONTRIBUTOR | null | We are training a large scale T5-11B model using TPU V3-1024 for a Covid-19 project
We tried to convert the TensorFlow checkpoint to the Pytorch version, but it did fail.
Could you please help us to figure out the problem since this model is very important for Covid-19 research.
# 🐛 Bug
## Information
Model... | {
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https://api.github.com/repos/huggingface/transformers/issues/5850 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5850/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5850/comments | https://api.github.com/repos/huggingface/transformers/issues/5850/events | https://github.com/huggingface/transformers/issues/5850 | 659,396,272 | MDU6SXNzdWU2NTkzOTYyNzI= | 5,850 | pip install error | {
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"@devJWSong, how did you solve this?",
"Oh, actually I didn't solve it.\r\nI just installed downgraded version which is 2.11.0. and it worked.\r\nI still don't know the reason but I think it is the problem from my virtual environment setting since when I tried to install the recent version in the different enviro... | 1,595 | 1,678 | 1,599 | NONE | null | Hi, I tried to install transformers library via `pip install transformers` and I got tokenizer install error.
The error logs are as follows.
```
ERROR: Could not find a version that satisfies the requirement tokenizers==0.8.1.rc1 (from transformers) (from versions: 0.0.2, 0.0.3, 0.0.4, 0.0.5, 0.0.6, 0.0.7, 0.0.8, ... | {
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https://api.github.com/repos/huggingface/transformers/issues/5849 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5849/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5849/comments | https://api.github.com/repos/huggingface/transformers/issues/5849/events | https://github.com/huggingface/transformers/pull/5849 | 659,389,613 | MDExOlB1bGxSZXF1ZXN0NDUxMjM4Njc0 | 5,849 | Update shortcut name for reformer in pretrained_models.srt | {
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"I agree with the change but I think you probably broke the rst",
"> I agree with the change but I think you probably broke the rst\r\n\r\nAh, my bad, I have updated the rst file",
"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/5849?src=pr&el=h1) Report\n> Merging [#5849](https://codecov.io/gh... | 1,595 | 1,595 | 1,595 | NONE | null | Adding `google/` prefix on shortcut name for reformer in `pretrained_models.srt` according to mapping in `configuration_reformer.py` | {
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https://api.github.com/repos/huggingface/transformers/issues/5848 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5848/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5848/comments | https://api.github.com/repos/huggingface/transformers/issues/5848/events | https://github.com/huggingface/transformers/issues/5848 | 659,380,460 | MDU6SXNzdWU2NTkzODA0NjA= | 5,848 | AttributeError: type object 'BertConfig' has no attribute 'pretrained_config_archive_map' | {
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"it'd better to downgrade the version: pip install transformer==2.0.0 (which solves the compatible issue).",
"`$ pip install transformers==2.0.0`\r\n\r\nworks",
"Hi, is there any other approach other than downgrading?",
"try\r\n\r\n> `$from transformers import ALBERT_PRETRAINED_CONFIG_ARCHIVE_MAP`\r\n\r\nor \... | 1,595 | 1,695 | 1,595 | NONE | null | Hi,
After changing from `BERT_PRETRAINED_MODEL_ARCHIVE_MAP` to `BERT_PRETRAINED_MODEL_ARCHIVE_LIST` in #5842 , I encountered another issue:
> File "main.py", line 24, in <genexpr>
> ALL_MODELS = sum((tuple(conf.pretrained_config_archive_map.keys()) for conf in (BertConfig, XLNetConfig)), ())
> AttributeEr... | {
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https://api.github.com/repos/huggingface/transformers/issues/5847 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5847/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5847/comments | https://api.github.com/repos/huggingface/transformers/issues/5847/events | https://github.com/huggingface/transformers/pull/5847 | 659,348,376 | MDExOlB1bGxSZXF1ZXN0NDUxMjAyNjg5 | 5,847 | Create README.md | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/5847?src=pr&el=h1) Report\n> Merging [#5847](https://codecov.io/gh/huggingface/transformers/pull/5847?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/9d37c56bab8f7f1f1aa0b65be039516072254e77&el=desc) will **increase... | 1,594 | 1,595 | 1,595 | CONTRIBUTOR | null | {
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https://api.github.com/repos/huggingface/transformers/issues/5846 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5846/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5846/comments | https://api.github.com/repos/huggingface/transformers/issues/5846/events | https://github.com/huggingface/transformers/issues/5846 | 659,332,126 | MDU6SXNzdWU2NTkzMzIxMjY= | 5,846 | Decode [UNK] from tokenizer | {
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"@RodSernaPerez I am not sure what you are doing, but the model will do that if it doesn't find your word in the vocab.txt file. You have to use `BertTokenizer` before training, so that it splits all of the words that are not in the vocab file into word tokens. I think it will mark words that it wasn't able to toke... | 1,594 | 1,602 | 1,602 | NONE | null | I am using Bert for NER and I have a problem when the tokenizer uses the token [UNK] to mask a word. How can I easily know which was the original work given its index? | {
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https://api.github.com/repos/huggingface/transformers/issues/5845 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5845/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5845/comments | https://api.github.com/repos/huggingface/transformers/issues/5845/events | https://github.com/huggingface/transformers/pull/5845 | 659,235,801 | MDExOlB1bGxSZXF1ZXN0NDUxMTA3MDQ3 | 5,845 | Added model card for neuraly/bert-base-italian-cased-sentiment | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/5845?src=pr&el=h1) Report\n> Merging [#5845](https://codecov.io/gh/huggingface/transformers/pull/5845?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/0b6c255a95368163d2b1d37635e5ce5bdd1b9423&el=desc) will **decrease... | 1,594 | 1,635 | 1,595 | CONTRIBUTOR | null | Hello, we are making this pull request to add our Italian sentiment model to your repository of transformers.
Thank you again for hosting the models :) | {
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https://api.github.com/repos/huggingface/transformers/issues/5844 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5844/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5844/comments | https://api.github.com/repos/huggingface/transformers/issues/5844/events | https://github.com/huggingface/transformers/issues/5844 | 659,208,624 | MDU6SXNzdWU2NTkyMDg2MjQ= | 5,844 | problem about Custom class inheriting from <TFBertPreTrainedModel> | {
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"We are trying to move these kinds of questions (which are not obvious bugs, but question for customized use cases) more and more to https://discuss.huggingface.co/. Would you mind posting it there again with your sample code:\r\n```python\r\nclass Model(transformers.TFBertPreTrainedModel):\r\n def __init__(self... | 1,594 | 1,601 | 1,601 | NONE | null | # ❓ Questions & Help
## Details
<!-- Description of your issue -->
I constructed class inheriting from TFBertPreTrainedModel. as follows:
```
class Model(transformers.TFBertPreTrainedModel):
def __init__(self,config, *inputs, **kwargs):
super(Model,self).__init__(config, *inputs, **kwargs)
... | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/5843?src=pr&el=h1) Report\n> Merging [#5843](https://codecov.io/gh/huggingface/transformers/pull/5843?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/0b6c255a95368163d2b1d37635e5ce5bdd1b9423&el=desc) will **decrease... | 1,594 | 1,594 | 1,594 | CONTRIBUTOR | null | Hello, we are making this pull request to add our Italian sentiment model to your repository of transformers.
Thank you again for hosting the models :) | {
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https://api.github.com/repos/huggingface/transformers/issues/5842 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5842/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5842/comments | https://api.github.com/repos/huggingface/transformers/issues/5842/events | https://github.com/huggingface/transformers/issues/5842 | 659,098,169 | MDU6SXNzdWU2NTkwOTgxNjk= | 5,842 | ImportError: cannot import name 'BERT_PRETRAINED_MODEL_ARCHIVE_MAP' from 'transformers' | {
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"Yeah, there was a breaking change. The name has been changed to `BERT_PRETRAINED_MODEL_ARCHIVE_LIST`.\r\n\r\nSee https://github.com/huggingface/transformers/pull/4636.",
"ImportError: cannot import name 'BertweetTokenizer' from 'transformers' (/opt/conda/lib/python3.7/site-packages/transformers/__init__.py)\r\n"... | 1,594 | 1,615 | 1,594 | NONE | null | Hi,
I'm rerunning the code BERT-E2E-ABSA from https://github.com/lixin4ever/BERT-E2E-ABSA, which is based on transformers 2.0.0
I installed the latest transformers 3.0.2 (both from pip and souce) and I have an error that I can not import BERT_PRETRAINED_MODEL_ARCHIVE_MAP.
This simple command will result in error... | {
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https://api.github.com/repos/huggingface/transformers/issues/5840 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5840/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5840/comments | https://api.github.com/repos/huggingface/transformers/issues/5840/events | https://github.com/huggingface/transformers/pull/5840 | 659,061,211 | MDExOlB1bGxSZXF1ZXN0NDUwOTUyNTA1 | 5,840 | [WIP - Don't merge][EncoderDecoder] Extend Trainer for Bert2Bert | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/5840?src=pr&el=h1) Report\n> Merging [#5840](https://codecov.io/gh/huggingface/transformers/pull/5840?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/fa5423b1695cd24856bcff47214172e0f540d924&el=desc) will **decrease... | 1,594 | 1,651 | 1,601 | MEMBER | null | This PR draft should be used to train a Bert2Bert model.
It's not ready to be merged yet. | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/5839?src=pr&el=h1) Report\n> Merging [#5839](https://codecov.io/gh/huggingface/transformers/pull/5839?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/3d9556a72b6709d5fa09bf7bce7404158c169d21&el=desc) will **decrease... | 1,594 | 1,595 | 1,595 | CONTRIBUTOR | null | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/5838?src=pr&el=h1) Report\n> Merging [#5838](https://codecov.io/gh/huggingface/transformers/pull/5838?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/3d9556a72b6709d5fa09bf7bce7404158c169d21&el=desc) will **increase... | 1,594 | 1,595 | 1,595 | CONTRIBUTOR | null | {
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https://api.github.com/repos/huggingface/transformers/issues/5837 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5837/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5837/comments | https://api.github.com/repos/huggingface/transformers/issues/5837/events | https://github.com/huggingface/transformers/pull/5837 | 658,945,130 | MDExOlB1bGxSZXF1ZXN0NDUwODUwMTY3 | 5,837 | [seq2seq] MAX_LEN env var for MT commands | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/5837?src=pr&el=h1) Report\n> Merging [#5837](https://codecov.io/gh/huggingface/transformers/pull/5837?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/529850ae7bca0ff388778c3c0d66240834cf56c3&el=desc) will **decrease... | 1,594 | 1,595 | 1,595 | CONTRIBUTOR | null | {
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https://api.github.com/repos/huggingface/transformers/issues/5836 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5836/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5836/comments | https://api.github.com/repos/huggingface/transformers/issues/5836/events | https://github.com/huggingface/transformers/pull/5836 | 658,886,681 | MDExOlB1bGxSZXF1ZXN0NDUwNzk4ODY4 | 5,836 | [not sure whether to] pin torch<=1.5.1 | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/5836?src=pr&el=h1) Report\n> Merging [#5836](https://codecov.io/gh/huggingface/transformers/pull/5836?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/d088d744adb4e5aa45262a34acab3ae9e81de169&el=desc) will **decrease... | 1,594 | 1,595 | 1,595 | CONTRIBUTOR | null | {
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https://api.github.com/repos/huggingface/transformers/issues/5835 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5835/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5835/comments | https://api.github.com/repos/huggingface/transformers/issues/5835/events | https://github.com/huggingface/transformers/pull/5835 | 658,879,378 | MDExOlB1bGxSZXF1ZXN0NDUwNzkyNDQw | 5,835 | solve Illegal seek in wandb teardown (test suite) | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/5835?src=pr&el=h1) Report\n> Merging [#5835](https://codecov.io/gh/huggingface/transformers/pull/5835?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/0735def8e1200ed45a2c33a075bc1595b12ef56a&el=desc) will **decrease... | 1,594 | 1,599 | 1,599 | CONTRIBUTOR | null | somehow wandb teardown fails in `tests/test_trainer.py::TrainerIntegrationTest::test_trainer_eval_mrpc`:
```
pytest -n 1 tests/test_trainer.py::TrainerIntegrationTest::test_trainer_eval_mrpc
====================================================================== test session starts =================================... | {
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https://api.github.com/repos/huggingface/transformers/issues/5834 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5834/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5834/comments | https://api.github.com/repos/huggingface/transformers/issues/5834/events | https://github.com/huggingface/transformers/pull/5834 | 658,876,698 | MDExOlB1bGxSZXF1ZXN0NDUwNzkwMDUx | 5,834 | Trainer support for iterabledataset | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/5834?src=pr&el=h1) Report\n> Merging [#5834](https://codecov.io/gh/huggingface/transformers/pull/5834?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/d088d744adb4e5aa45262a34acab3ae9e81de169&el=desc) will **increase... | 1,594 | 1,595 | 1,595 | CONTRIBUTOR | null | To fix --> #5829 | {
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https://api.github.com/repos/huggingface/transformers/issues/5833 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5833/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5833/comments | https://api.github.com/repos/huggingface/transformers/issues/5833/events | https://github.com/huggingface/transformers/issues/5833 | 658,850,717 | MDU6SXNzdWU2NTg4NTA3MTc= | 5,833 | OpenAI GPT NoPaddingTokenFastTokenizerMatchingTest test fails | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n",
"looks like it has been fixed."
] | 1,594 | 1,600 | 1,600 | CONTRIBUTOR | null | # 🐛 Bug
## Information
`tests/test_tokenization_fast.py::NoPaddingTokenFastTokenizerMatchingTest::test_all_tokenizers`
fails
## To reproduce
```
pytest -n 1 tests/test_tokenization_fast.py::NoPaddingTokenFastTokenizerMatchingTest::test_all_tokenizers
===================================================... | {
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https://api.github.com/repos/huggingface/transformers/issues/5832 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5832/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5832/comments | https://api.github.com/repos/huggingface/transformers/issues/5832/events | https://github.com/huggingface/transformers/pull/5832 | 658,825,133 | MDExOlB1bGxSZXF1ZXN0NDUwNzQzNDc4 | 5,832 | [wip] T5 tokenizer should add special tokens | {
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"Thanks for taking care of it @sshleifer !",
"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/5832?src=pr&el=h1) Report\n> Merging [#5832](https://codecov.io/gh/huggingface/transformers/pull/5832?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/615be03f9d961c0c97... | 1,594 | 1,595 | 1,595 | CONTRIBUTOR | null | {
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https://api.github.com/repos/huggingface/transformers/issues/5831 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5831/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5831/comments | https://api.github.com/repos/huggingface/transformers/issues/5831/events | https://github.com/huggingface/transformers/pull/5831 | 658,778,007 | MDExOlB1bGxSZXF1ZXN0NDUwNzAwOTQx | 5,831 | minor doc fixes | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/5831?src=pr&el=h1) Report\n> Merging [#5831](https://codecov.io/gh/huggingface/transformers/pull/5831?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/d088d744adb4e5aa45262a34acab3ae9e81de169&el=desc) will **decrease... | 1,594 | 1,595 | 1,595 | CONTRIBUTOR | null | correct superclass name and small grammar fixes
then later added a correction in the error message:
It appears to be `BaseTokenizer` from looking at:
`from tokenizers.implementations import BaseTokenizer as BaseTokenizerFast`
and not `Tokenizer` as it currently says.
p.s. Please let me know whether you p... | {
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"Thanks for the fix with #5834 :)",
"The same issue exists for _get_eval_sampler... I patched the Trainer in the mean time, but it would be good if it were fixed.",
"Hi @avercau can you open an issue with your problem? Thank you"
] | 1,594 | 1,624 | 1,596 | CONTRIBUTOR | null | # 🐛 Bug
## Information
This is in regards to the `Trainer` object. The `get_train_dataloader` function uses RandomSampler or Distributed sampler, both of which I believe won't work with an [iterable datasets](https://pytorch.org/docs/stable/data.html#iterable-style-datasets) - which are only compatible with Infi... | {
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https://api.github.com/repos/huggingface/transformers/issues/5828 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5828/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5828/comments | https://api.github.com/repos/huggingface/transformers/issues/5828/events | https://github.com/huggingface/transformers/pull/5828 | 658,614,042 | MDExOlB1bGxSZXF1ZXN0NDUwNTU1MDkz | 5,828 | language tag addition on albert-mongolian | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/5828?src=pr&el=h1) Report\n> Merging [#5828](https://codecov.io/gh/huggingface/transformers/pull/5828?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/d088d744adb4e5aa45262a34acab3ae9e81de169&el=desc) will **decrease... | 1,594 | 1,594 | 1,594 | CONTRIBUTOR | null | hello!
I just added the language tag to model card. Can you guys check for me? | {
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"Definitely seems bad. Have you experienced this with models besides GPT2? \r\n\r\n\r\nI think there might be two issues here:\r\n1) `trainer.utils.set_seed` doesn't work completely: @julien-c \r\n\r\n2) I'm not sure whether this warning is expected behavior:\r\n```\r\nSome weights of GPT2LMHeadModel were not initi... | 1,594 | 1,601 | 1,601 | CONTRIBUTOR | 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. -->
Ensure reproducibility when loading pretrained models.
## Motivation
<!-- Please outline the motivation for the proposal. Is your feature request
... | {
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"Hey @afcruzs,\r\n\r\nThese lines are the problem I think:\r\n\r\n```python \r\n# Loading saved model and its configuration\r\nencoder_config = BertConfig.from_pretrained('ok')\r\ndecoder_config = BertConfig.from_pretrained('ok')\r\nprint(encoder_config.vocab_size)\r\nprint(encoder_config.vocab_size)\r\nencoder_dec... | 1,594 | 1,595 | 1,595 | CONTRIBUTOR | null | # 🐛 Bug
## Information
Model I am using (Bert, XLNet ...): EncoderDecoder with bert-base-multilingual-cased in both
Language I am using the model on (English, Chinese ...): not relevant for the bug
The problem arises when using:
* [ ] the official example scripts: (give details below)
* [x] my own modifi... | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/5821?src=pr&el=h1) Report\n> Merging [#5821](https://codecov.io/gh/huggingface/transformers/pull/5821?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/c45d7a707d56096b7ed48deaa3ba186fd7c306d4&el=desc) will **decrease... | 1,594 | 1,594 | 1,594 | CONTRIBUTOR | null | {
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