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https://api.github.com/repos/huggingface/transformers/issues/5820 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5820/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5820/comments | https://api.github.com/repos/huggingface/transformers/issues/5820/events | https://github.com/huggingface/transformers/issues/5820 | 658,424,836 | MDU6SXNzdWU2NTg0MjQ4MzY= | 5,820 | Migrate Marian models names to ISO-639-3 where possible | {
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"> for NORTH_EU, why is the code \"multilingual\"\r\n\r\nCouldn't find a better qualifier and I think there were a lot of languages\r\n\r\n> how will people know if a model requires a target language code?\r\n\r\nHow do they know now? Maybe add it to the model card? or you could detect if `code.includes('_')`?\r\n\... | 1,594 | 1,600 | 1,600 | CONTRIBUTOR | null | Proposed renamings:
ROMANCE-> roa
CELTIC -> cel
NORWAY -> no (check for conflicts w existing bilingual norwegian models.)
remove ch_group
@julien-c for NORTH_EU, why is the code ["multilingual"](https://github.com/huggingface/moon-landing/blob/d50efc4725a7546fb8159626470f3babacd44911/server/lib/ModelInfo.ts#L... | {
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https://api.github.com/repos/huggingface/transformers/issues/5819 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5819/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5819/comments | https://api.github.com/repos/huggingface/transformers/issues/5819/events | https://github.com/huggingface/transformers/pull/5819 | 658,394,236 | MDExOlB1bGxSZXF1ZXN0NDUwMzYyNDA4 | 5,819 | [seq2seq] pack_dataset.py rewrites dataset in max_tokens format | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/5819?src=pr&el=h1) Report\n> Merging [#5819](https://codecov.io/gh/huggingface/transformers/pull/5819?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/63761614eb7a5f96e089b77d5469ea31a7177e16&el=desc) will **decrease... | 1,594 | 1,594 | 1,594 | CONTRIBUTOR | null | Inspired by fairseq max_tokens_dataset.
This works on disk, by regenerating the data directory, so it can work with or without @Pradhy729 's PR.
It is especially useful for avoiding padding computation in a multigpu setup, where SortishSampler doesn't work.
It will also play nice with TPU by allowing us to always ... | {
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https://api.github.com/repos/huggingface/transformers/issues/5818 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5818/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5818/comments | https://api.github.com/repos/huggingface/transformers/issues/5818/events | https://github.com/huggingface/transformers/pull/5818 | 658,364,099 | MDExOlB1bGxSZXF1ZXN0NDUwMzM2MjI2 | 5,818 | [seq2seq] Don't copy self.source in sortishsampler | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/5818?src=pr&el=h1) Report\n> Merging [#5818](https://codecov.io/gh/huggingface/transformers/pull/5818?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/63761614eb7a5f96e089b77d5469ea31a7177e16&el=desc) will **decrease... | 1,594 | 1,594 | 1,594 | CONTRIBUTOR | null | {
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https://api.github.com/repos/huggingface/transformers/issues/5817 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5817/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5817/comments | https://api.github.com/repos/huggingface/transformers/issues/5817/events | https://github.com/huggingface/transformers/issues/5817 | 658,353,297 | MDU6SXNzdWU2NTgzNTMyOTc= | 5,817 | error with transformers 2.9.1 but not with 2.3.0, same code, why? | {
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"Hi! Indeed, I can reproduce. This seems to be an edge-case we were not testing for in late v2+ versions. It does run correctly on v2.3.0, as you've shown, and on recent versions (v3+) as well.\r\n\r\nAfter looking a bit deeper into it, it seems to have happened because of the introduction of `BatchEncoding`, in ve... | 1,594 | 1,595 | 1,595 | NONE | null | # 🐛 Bug
## Information
Model I am using (Bert, XLNet ...): Bert
Language I am using the model on (English, Chinese ...): Chinese
The problem arises when using:
* [ ] the official example scripts: (give details below)
* [x] my own modified scripts: (give details below)
The tasks I am working on is:
* ... | {
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https://api.github.com/repos/huggingface/transformers/issues/5816 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5816/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5816/comments | https://api.github.com/repos/huggingface/transformers/issues/5816/events | https://github.com/huggingface/transformers/issues/5816 | 658,337,725 | MDU6SXNzdWU2NTgzMzc3MjU= | 5,816 | Additional layers to BERT | {
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"Hi @psureshmagadi17 , you can add additional layers easily, take a loot the source code for `BERTForSequenceClassification`, you can take that code as it is and add the additional layers before the final classifier. ",
"> Hi @psureshmagadi17 , you can add additional layers easily, take a loot the source code for... | 1,594 | 1,643 | 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/ .
You can also try Stack Overflow (SO) where a wh... | {
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https://api.github.com/repos/huggingface/transformers/issues/5815 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5815/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5815/comments | https://api.github.com/repos/huggingface/transformers/issues/5815/events | https://github.com/huggingface/transformers/issues/5815 | 658,335,782 | MDU6SXNzdWU2NTgzMzU3ODI= | 5,815 | cast_bool_to_primitive breaks TensorFlow graph support. | {
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"Hey @AndreasMadsen, \r\n\r\nThanks a lot for the detailed error description! I added this function, so I will try to take a look as soon as possible. I will be off for the next two weeks though (but will not this issue down). If by change @jplu you find some time, feel free to take a look :-) ",
"Should be fixed... | 1,594 | 1,602 | 1,602 | CONTRIBUTOR | null | # 🐛 Bug
## To reproduce
```python
import transformers
bert = tf.function(transformers.TFBertForMaskedLM.from_pretrained('bert-base-uncased'))
for i in range(2):
(_, hidden_state) = bert(tf.constant([[10,11,12]]), output_hidden_states=True)
print(f'computed {i}')
```
Errors with
```
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https://api.github.com/repos/huggingface/transformers/issues/5814 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5814/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5814/comments | https://api.github.com/repos/huggingface/transformers/issues/5814/events | https://github.com/huggingface/transformers/issues/5814 | 658,272,065 | MDU6SXNzdWU2NTgyNzIwNjU= | 5,814 | How to download original weights of gpt2 | {
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"Hey @nuradilK,\r\n\r\n1) The GPT2 weight initialization is a known warning bug we should remove, but which does not affect model performance, \r\nsee https://github.com/huggingface/transformers/issues/5800 e.g.\r\n\r\n2) It's very hard for us to track down low performance of specific user code (which data to use, ... | 1,594 | 1,600 | 1,600 | NONE | null | # ❓ Questions & Help
Hi, I have been trying to reproduce losses from [this paper](https://cdn.openai.com/better-language-models/language_models_are_unsupervised_multitask_learners.pdf), but I realized that my losses are lower than the ones from the paper. Also, I noticed a warning - Some weights of GPT2LMHeadModel wer... | {
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https://api.github.com/repos/huggingface/transformers/issues/5813 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5813/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5813/comments | https://api.github.com/repos/huggingface/transformers/issues/5813/events | https://github.com/huggingface/transformers/pull/5813 | 658,232,398 | MDExOlB1bGxSZXF1ZXN0NDUwMjI0MjE0 | 5,813 | Create README.md | {
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https://api.github.com/repos/huggingface/transformers/issues/5811 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5811/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5811/comments | https://api.github.com/repos/huggingface/transformers/issues/5811/events | https://github.com/huggingface/transformers/pull/5811 | 658,218,445 | MDExOlB1bGxSZXF1ZXN0NDUwMjEyNDE2 | 5,811 | [Longformer] fix longformer slow-down | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/5811?src=pr&el=h1) Report\n> Merging [#5811](https://codecov.io/gh/huggingface/transformers/pull/5811?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/89a78be51f1c2afd263da66ec76d3297432f0c2a&el=desc) will **decrease... | 1,594 | 1,594 | 1,594 | MEMBER | null | A drastic slow-down of Longformer after the PR: https://github.com/huggingface/transformers/pull/5219 was deteced by @HHousen (thanks a lot!) here: https://github.com/huggingface/transformers/issues/4406#issuecomment-658483050 .
After digging a bit into the code it can be seen that the line:
`is_global_attn = any(i... | {
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https://api.github.com/repos/huggingface/transformers/issues/5810 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5810/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5810/comments | https://api.github.com/repos/huggingface/transformers/issues/5810/events | https://github.com/huggingface/transformers/pull/5810 | 658,215,534 | MDExOlB1bGxSZXF1ZXN0NDUwMjA5OTA5 | 5,810 | Add missing arguments for BertWordPieceTokenizer | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/5810?src=pr&el=h1) Report\n> Merging [#5810](https://codecov.io/gh/huggingface/transformers/pull/5810?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/89a78be51f1c2afd263da66ec76d3297432f0c2a&el=desc) will **decrease... | 1,594 | 1,599 | 1,599 | CONTRIBUTOR | null | Hi:)
It seems that in `__init__` of `BertTokenizerFast`, arguments of `pad_token` and `mask_token` of `BertWordPieceTokenizer` are missing.
I've added them in this commit. If these missed arguments are intended, please let me know:)
Thank you!
```python
class BertTokenizerFast(PreTrainedTokenizerFast):
... | {
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"The `EncoderDecoderModel` does not work with longformer yet. Closing this in favor of https://github.com/huggingface/transformers/issues/4225 ."
] | 1,594 | 1,594 | 1,594 | NONE | null | I'm getting the above error while training for EncoderDecoder Model for longformer.
Following is the code snippet from the training loop, followed by the model definition.
` output = model(input_ids = b_input_ids, attention_mask = b_input_masks, decoder_input_ids = b_decoder_input_ids, decoder_attention_mask =... | {
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https://api.github.com/repos/huggingface/transformers/issues/5808 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5808/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5808/comments | https://api.github.com/repos/huggingface/transformers/issues/5808/events | https://github.com/huggingface/transformers/pull/5808 | 658,179,055 | MDExOlB1bGxSZXF1ZXN0NDUwMTc4ODc1 | 5,808 | [Benchmark] Fix models without `architectures` param in config | {
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https://api.github.com/repos/huggingface/transformers/issues/5807 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5807/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5807/comments | https://api.github.com/repos/huggingface/transformers/issues/5807/events | https://github.com/huggingface/transformers/issues/5807 | 658,175,416 | MDU6SXNzdWU2NTgxNzU0MTY= | 5,807 | While running finetune.py in seq2seq examples on a custom dataset, I am getting the following error. | {
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"Hi @laibamehnaz , what is your batch size ?\r\n\r\nHere's my wild guess. I think one of your batch has empty lines. The batches are trimmed using the below function to remove excessive pad tokens\r\n\r\n```python3\r\ndef trim_batch(\r\n input_ids, pad_token_id, attention_mask=None,\r\n):\r\n \"\"\"Remove col... | 1,594 | 1,601 | 1,601 | NONE | null | ### This is what I'm getting:
Can I get some help? Thank you
Epoch 1: 34% 3410/10000 [1:43:10<3:19:22, 1.82s/it, loss=3.052, v_num=6]Traceback (most recent call last):
File "finetune.py", line 344, in <module>
main(args)
File "finetune.py", line 322, in main
logger=logger,
File "/content/drive/... | {
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https://api.github.com/repos/huggingface/transformers/issues/5806 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5806/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5806/comments | https://api.github.com/repos/huggingface/transformers/issues/5806/events | https://github.com/huggingface/transformers/issues/5806 | 658,140,970 | MDU6SXNzdWU2NTgxNDA5NzA= | 5,806 | BERT-viewer is broken for russian? | {
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"I don't see anything obviously wrong on our side, so you should ask the model authors (@deeppavlov and other members of @deepmipt) – maybe they uploaded the model without a trained final LM prediction layer, for instance.\r\n\r\nOff topic, but e.g. by contrast this translation model works very well for russian: ht... | 1,594 | 1,600 | 1,600 | NONE | null | # 🐛 Bug
Hi I'm looking at BERT demos for russian, for example:
https://huggingface.co/DeepPavlov/rubert-base-cased?text=%D0%AF+%5BMASK%5D+%D1%81%D0%B0%D0%BB%D0%B0%D1%82+%D0%BD%D0%B0+%D0%BE%D0%B1%D0%B5%D0%B4.
English version for comparison:
https://huggingface.co/bert-base-cased?text=I+%5BMASK%5D+salad+for+lunch.... | {
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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"
] | 1,594 | 1,601 | 1,601 | NONE | null | **1. [Fix] Create directories for model checkpoints**
Saving model checkpoints without making directories would lead to error.
(i.e. The output directory will not exist using the currenct script.)
The [older version](https://github.com/huggingface/transformers/blob/3f5ccb183e3cfa755dea2dd2afd9abbf1a0f93b8/exa... | {
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https://api.github.com/repos/huggingface/transformers/issues/5804 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5804/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5804/comments | https://api.github.com/repos/huggingface/transformers/issues/5804/events | https://github.com/huggingface/transformers/pull/5804 | 658,120,899 | MDExOlB1bGxSZXF1ZXN0NDUwMTI4NzUz | 5,804 | Add MPNet | {
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"@StillKeepTry Don't forget to ping me if you need another round of review!\r\n\r\nBy the way, I haven't seen any refactorization for code like this:\r\n```python\r\nfrom .modeling_bert import (\r\n BertEmbeddings, \r\n BertPreTrainedModel, \r\n BertIntermediate, \r\n BertOutput, \r\n BertSelfAttenti... | 1,594 | 1,606 | 1,606 | CONTRIBUTOR | null | {
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"I can load the pipeline locally so I am not sure what's happening here, indeed. Will post here when we know more.",
"Hey @julien-c, thanks for the quick response!\r\n\r\nI'm assuming the inference API is using the `transformers-cli serve` ?\r\nWhen I do the same locally, I'm able to get results at **localhost:88... | 1,594 | 1,601 | 1,595 | NONE | null | Hi,
[https://huggingface.co/sampathkethineedi/industry-classification-api](https://huggingface.co/sampathkethineedi/industry-classification-api)
I uploaded my classification model fine tuned on BERT. There is no issue running the model from the hub and using the ‘sentiment-analysis’ pipeline. But there seems to b... | {
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https://api.github.com/repos/huggingface/transformers/issues/5802 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5802/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5802/comments | https://api.github.com/repos/huggingface/transformers/issues/5802/events | https://github.com/huggingface/transformers/pull/5802 | 658,069,672 | MDExOlB1bGxSZXF1ZXN0NDUwMDg0MjQ1 | 5,802 | [WIP - Benchmark] Add generate function | {
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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"
] | 1,594 | 1,600 | 1,600 | MEMBER | null | This PR adds the `generate` function to Benchmarks. You can try it out by running:
```
python examples/benchmarking/run_benchmark.py --models gpt2 --batch_sizes 1 --sequence_lengths 20 --no_inference --generate
```
## TODO
- [ ] Add for TF as well | {
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https://api.github.com/repos/huggingface/transformers/issues/5801 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5801/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5801/comments | https://api.github.com/repos/huggingface/transformers/issues/5801/events | https://github.com/huggingface/transformers/pull/5801 | 658,048,854 | MDExOlB1bGxSZXF1ZXN0NDUwMDY2MzU4 | 5,801 | [Benchmark] fix benchmark non standard model | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/5801?src=pr&el=h1) Report\n> Merging [#5801](https://codecov.io/gh/huggingface/transformers/pull/5801?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/8ce610bc96ace8be6b514c0f2c3fb0f76eb7ee15&el=desc) will **increase... | 1,594 | 1,595 | 1,594 | MEMBER | null | This PR fixes a typo in Benchmark, that allows to load specifc architectures and not just the base model. | {
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https://api.github.com/repos/huggingface/transformers/issues/5800 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5800/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5800/comments | https://api.github.com/repos/huggingface/transformers/issues/5800/events | https://github.com/huggingface/transformers/issues/5800 | 658,023,693 | MDU6SXNzdWU2NTgwMjM2OTM= | 5,800 | GPT2 weights don't initialize from checkpoint | {
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"Hey @almaLindborg,\r\n\r\nThis is a known warning. We should probably disable this...a couple of other models have it as well. But the model works as intended, so no worries about the message.\r\n\r\nAlso pinging @sshleifer for notification."
] | 1,594 | 1,594 | 1,594 | NONE | null | OS: OSX 10.15.5 (Catalina)
Transformers version 3.0.2
I'm running into this warning when I'm trying to initialize a pre-trained GPT2 model.
This looks a bit worrying to me because it looks like like it ignores all the pre-trained attention heads, or am I missing something here?
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https://api.github.com/repos/huggingface/transformers/issues/5799 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5799/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5799/comments | https://api.github.com/repos/huggingface/transformers/issues/5799/events | https://github.com/huggingface/transformers/issues/5799 | 657,942,620 | MDU6SXNzdWU2NTc5NDI2MjA= | 5,799 | Issue when load pretrained weights | {
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"Cannot reproduce. The command:\r\n\r\n```python \r\nfrom transformers import AutoModelWithLMHead\r\nmodel = AutoModelWithLMHead.from_pretrained(\"bert-base-chinese\")\r\n```\r\n\r\nworks fine on master. Can you update to v3.0.2 `pip install --upgrade transformers` and check again? :-) ",
"> Cannot reproduce. The... | 1,594 | 1,631 | 1,603 | NONE | null | I got the following error when running
AutoModelWithLMHead.from_pretrained("bert-base-chinese")
OSError: Can't load weights for 'bert-base-chinese'. Make sure that:
- 'bert-base-chinese' is a correct model identifier listed on 'https://huggingface.co/models'
- or 'bert-base-chinese' is the correct path t... | {
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https://api.github.com/repos/huggingface/transformers/issues/5798 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5798/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5798/comments | https://api.github.com/repos/huggingface/transformers/issues/5798/events | https://github.com/huggingface/transformers/pull/5798 | 657,877,381 | MDExOlB1bGxSZXF1ZXN0NDQ5OTIxMTc4 | 5,798 | Lightning Updates for v0.8.5 | {
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"@sshleifer have any guidance on these two errors?\r\n\r\n\r\n## T5\r\n\r\n```python\r\n________________ test_finetune[patrickvonplaten/t5-tiny-random] ________________\r\n[gw3] linux -- Python 3.6.11 /usr/local/bin/python\r\n\r\nmodel = 'patrickvonplaten/t5-tiny-random'\r\n\r\n @pytest.mark.parametrize(\r\n ... | 1,594 | 1,595 | 1,595 | CONTRIBUTOR | null | Fixing #5361 ...battling with unittests. | {
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https://api.github.com/repos/huggingface/transformers/issues/5797 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5797/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5797/comments | https://api.github.com/repos/huggingface/transformers/issues/5797/events | https://github.com/huggingface/transformers/issues/5797 | 657,876,278 | MDU6SXNzdWU2NTc4NzYyNzg= | 5,797 | Can I use the pretrained BERT-Base model directly for predict isNextSentence task? | {
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"I have find anwser in [code](https://github.com/huggingface/transformers/blob/master/src/transformers/modeling_bert.py#L1138)."
] | 1,594 | 1,594 | 1,594 | NONE | null | # ❓ Can I use the pretrained BERT-Base model directly for predict isNextSentence task?
<!-- 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.huggi... | {
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https://api.github.com/repos/huggingface/transformers/issues/5796 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5796/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5796/comments | https://api.github.com/repos/huggingface/transformers/issues/5796/events | https://github.com/huggingface/transformers/pull/5796 | 657,861,294 | MDExOlB1bGxSZXF1ZXN0NDQ5OTA3ODI4 | 5,796 | Moving transformers package import statements to relative imports in some files | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/5796?src=pr&el=h1) Report\n> Merging [#5796](https://codecov.io/gh/huggingface/transformers/pull/5796?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/7214954db42ec96603ea596c5f68b16f574fba89&el=desc) will **increase... | 1,594 | 1,595 | 1,595 | CONTRIBUTOR | null | When using the transformers library as a local submodule (eg git submodule) instead of a python package, it's important to have relative import instead of doing `from transformers` directly which would look at the installed version of the python package. Regardless, it seems like the codebase favors relative imports in... | {
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https://api.github.com/repos/huggingface/transformers/issues/5795 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5795/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5795/comments | https://api.github.com/repos/huggingface/transformers/issues/5795/events | https://github.com/huggingface/transformers/issues/5795 | 657,828,556 | MDU6SXNzdWU2NTc4Mjg1NTY= | 5,795 | LongFormerAttention For AutoRegressive Models | {
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"Yes! This will be added when starting the `Longformer` Encoder framework :-) Closing this in favor of https://github.com/huggingface/transformers/issues/5170 and https://github.com/huggingface/transformers/issues/4225"
] | 1,594 | 1,594 | 1,594 | NONE | null | Longformer Currently supports only Bidirectional Attention,It would be a great feature to finetune current language models like GPT-2 on longer sequences . | {
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https://api.github.com/repos/huggingface/transformers/issues/5794 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5794/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5794/comments | https://api.github.com/repos/huggingface/transformers/issues/5794/events | https://github.com/huggingface/transformers/issues/5794 | 657,796,341 | MDU6SXNzdWU2NTc3OTYzNDE= | 5,794 | Print all next tokens of a sentence over a certain probability threshold. | {
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"Hey @zanderbush, we are trying to move special feature requests / research questions to https://discuss.huggingface.co/ - would you mind posting it there again? "
] | 1,594 | 1,594 | 1,594 | NONE | null | How would I do this using GPT-2? | {
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https://api.github.com/repos/huggingface/transformers/issues/5793 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5793/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5793/comments | https://api.github.com/repos/huggingface/transformers/issues/5793/events | https://github.com/huggingface/transformers/pull/5793 | 657,782,227 | MDExOlB1bGxSZXF1ZXN0NDQ5ODQyNzU5 | 5,793 | Adding the LXMERT pretraining model (MultiModal languageXvision) to HuggingFace's suite of models | {
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"Thank you so much!!! I really appreciate you offering to help too!\r\n\r\nTo cover what you mentioned quickly, I can upload the model weights tomorrow! For updating the documentation, that should be no problem either. I think for the model outputs regarding this model, there probably is quite a bit of information ... | 1,594 | 1,599 | 1,599 | CONTRIBUTOR | null | LXMERT is considered a dual-stream language-vision model. Dual stream meaning that it uses a transformer encoder to perform self-attention between each modality of data and then a cross-modality transformer encoder for a fine-grained cross-attention between each modality. It's achieved tremendous (STOTA results) succes... | {
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"The isort check doesn't fail when I run it on my end. Other than that - I would say this is complete.\r\n",
"Awesome, I'm testing it now on WMT english-romanian translation.",
"OK, I have it running with many modifications and it works much better. Very little cpu ram wasted!\r\n\r\nIs it OK if I make a new PR... | 1,594 | 1,595 | 1,595 | CONTRIBUTOR | null | {
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https://api.github.com/repos/huggingface/transformers/issues/5791 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5791/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5791/comments | https://api.github.com/repos/huggingface/transformers/issues/5791/events | https://github.com/huggingface/transformers/pull/5791 | 657,718,587 | MDExOlB1bGxSZXF1ZXN0NDQ5Nzg5NzQ2 | 5,791 | Add script to convert tf2.x checkpoint to PyTorch | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/5791?src=pr&el=h1) Report\n> Merging [#5791](https://codecov.io/gh/huggingface/transformers/pull/5791?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/3b924fabeef717be8399f1888280c29c69e9ab00&el=desc) will **decrease... | 1,594 | 1,596 | 1,596 | CONTRIBUTOR | null | The script converts the newer TF2.x checkpoints (as published on their [official GitHub](https://github.com/tensorflow/models/tree/master/official/nlp/bert) to Pytorch. The [existing script](https://github.com/huggingface/transformers/blob/master/src/transformers/convert_bert_original_tf_checkpoint_to_pytorch.py) only ... | {
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https://api.github.com/repos/huggingface/transformers/issues/5790 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5790/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5790/comments | https://api.github.com/repos/huggingface/transformers/issues/5790/events | https://github.com/huggingface/transformers/pull/5790 | 657,707,204 | MDExOlB1bGxSZXF1ZXN0NDQ5NzgwMTEw | 5,790 | github issue template suggests who to tag | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/5790?src=pr&el=h1) Report\n> Merging [#5790](https://codecov.io/gh/huggingface/transformers/pull/5790?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 | Fewer issues get lost if people tag the relevant developer. It also saves @LysandreJik time.
While he is out, I figured we could experiment with trying to nudge issue raisers to tag.
Here is the comment at the beginning of the "Bug Report" template:
Your issue will be replied to more quickly if you can figure ou... | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/5789?src=pr&el=h1) Report\n> Merging [#5789](https://codecov.io/gh/huggingface/transformers/pull/5789?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/3b924fabeef717be8399f1888280c29c69e9ab00&el=desc) will **increase... | 1,594 | 1,594 | 1,594 | CONTRIBUTOR | null | Created PyTorch version of model. Minor update on README. | {
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"This is a duplicate."
] | 1,594 | 1,595 | 1,595 | CONTRIBUTOR | null | then pass them to config in `__init__`.
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https://api.github.com/repos/huggingface/transformers/issues/5787 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5787/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5787/comments | https://api.github.com/repos/huggingface/transformers/issues/5787/events | https://github.com/huggingface/transformers/issues/5787 | 657,627,823 | MDU6SXNzdWU2NTc2Mjc4MjM= | 5,787 | Can't load weights for GPT2 error | {
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"Hi! This is probably because the error reponse for a request is silenced . You can place a breakpont [here](https://github.com/huggingface/transformers/blob/0533cf470659b97c6279bd04f65536a1ec88404a/src/transformers/file_utils.py#L681) and check. Mine was SSL error, so I set `REQUESTS_CA_BUNDLE` env var to `/etc/ss... | 1,594 | 1,614 | 1,614 | NONE | null | ## System Info
Pop!_OS 20.04
Pytorch: 1.5.1
Transformers: 2.11.0
Python: 3.7.6
## Details
I am working behind a proxy. If I run the following:
```python
from transformers import GPT2Tokenizer
proxies = {'http':'http://my.proxy.com:port', 'https':'https://my.proxy.com:port'}
tokenizer = GPT2Tokenizer.from_... | {
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https://api.github.com/repos/huggingface/transformers/issues/5786 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5786/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5786/comments | https://api.github.com/repos/huggingface/transformers/issues/5786/events | https://github.com/huggingface/transformers/issues/5786 | 657,583,981 | MDU6SXNzdWU2NTc1ODM5ODE= | 5,786 | Faster mBART finetuning | {
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"Hi @sshleifer , can embed pruning affect accuracy(bleu) ? TPU option seems good as it won't result in less accuracy ",
"https://github.com/pytorch/fairseq/issues/2120#issuecomment-647915216 suggests it costs 2 BLEU points.\r\n\r\nOne of our goals with examples is to make train loops that people can run on their ... | 1,594 | 1,658 | 1,600 | CONTRIBUTOR | null | Goal: Get BLEU 20 in 1 epoch on wmt-en-ro.
Can't run a bs=1 without `--freeze_embeds`.
1 epoch takes 6H on 16GB GPU with fp16, with `--freeze_embeds` and `--freeze_encoder`. Max bs=4
Ideas:
- [ ] Dataset that fits as many sentences as possible into an example, to increase gpu utilization.
- [ ] Only store em... | {
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"This is just one of those days.. There's a[ mean pooling function](https://huggingface.co/sentence-transformers/bert-base-nli-mean-tokens) here that can be adapted."
] | 1,594 | 1,594 | 1,594 | NONE | null | # 🐛 Bug
## Information
The outputs I'm seeing from generating sentence embeddings with the steps in the model zoo for getting sentence-transformers embeddings deviate from those generated from the SentenceTransformers package.
I'm assuming this is due to the lack of pooling. Is there a way to convert a ST mo... | {
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"The script you want is at `src/transformers/convert_marian_to_pytorch.py` \r\nIt requires you to download the marian model you wish to convert and also to clone\r\n```bash\r\ngit clone git@github.com:Helsinki-NLP/Opus-MT-train.git\r\n```\r\nyou may have to adjust some paths in the script (like `repo_path`) based o... | 1,594 | 1,688 | 1,595 | NONE | null | I want to utilize and train the machine translation models posted on Github: https://github.com/Helsinki-NLP/OPUS-MT-train/tree/master/models on my own corpus. These models are C++ based.
Are these models exactly the same as the ones posted by Hugging Face’s website: https://huggingface.co/Helsinki-NLP ?
If they ... | {
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https://api.github.com/repos/huggingface/transformers/issues/5780 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5780/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5780/comments | https://api.github.com/repos/huggingface/transformers/issues/5780/events | https://github.com/huggingface/transformers/issues/5780 | 657,521,947 | MDU6SXNzdWU2NTc1MjE5NDc= | 5,780 | Error in conversion to tensorflow | {
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"Hey @Alshutin, \r\n\r\nI am not able to reproduce the error. It might be because PyTorch uses a GPU and Tensorflow does not. \r\nCould you try to run your code when disabling GPU (`export CUDA_VISIBLE_DEVICES=\"\"`) and see whether the \r\nerror persists?",
"Hi! I just tried it with another version of TensorFlow... | 1,594 | 1,594 | 1,594 | NONE | null | # 🐛 Bug
## Information
Model I am using (Bert, XLNet ...): DistilBERT
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: (give details below)
The tasks I am working on i... | {
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https://api.github.com/repos/huggingface/transformers/issues/5779 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5779/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5779/comments | https://api.github.com/repos/huggingface/transformers/issues/5779/events | https://github.com/huggingface/transformers/issues/5779 | 657,484,930 | MDU6SXNzdWU2NTc0ODQ5MzA= | 5,779 | [bart] decoder.last_hidden_state shape changes when passing labels | {
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"NVM, it's a me problem.",
"FFR, You have to manually pass `use_cache=False` to bart forward now if you're not generating"
] | 1,594 | 1,594 | 1,594 | CONTRIBUTOR | null | ```
config = BartConfig(
vocab_size=99,
d_model=24,
encoder_layers=2,
decoder_layers=2,
encoder_attention_heads=2,
decoder_attention_heads=2,
encoder_ffn_dim=32,
decoder_ffn_dim=32,
max_position_embeddi... | {
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"Update: This seems relevant https://github.com/pytorch/pytorch/issues/36035",
"I face the same error when using multi GPUs on Reformer model:\r\n```Traceback (most recent call last):\r\n File \"src/run_language_modeling.py\", line 305, in <module>\r\n main()\r\n File \"src/run_language_modeling.py\", line 2... | 1,594 | 1,646 | 1,602 | NONE | null | # 🐛 Bug
## Information
I'm having some issues using DataParallel with the reformer model with 4 GPUs. I am trying to feed the ReformerModel input embeddings, and output the last hidden state. I am using apex amp, however I get the same error when I don't use amp. I also get the same error when I use input IDs, r... | {
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https://api.github.com/repos/huggingface/transformers/issues/5777 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5777/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5777/comments | https://api.github.com/repos/huggingface/transformers/issues/5777/events | https://github.com/huggingface/transformers/issues/5777 | 657,453,753 | MDU6SXNzdWU2NTc0NTM3NTM= | 5,777 | Bug in MiniLM-L12-H384-uncased modelhub model files | {
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"I will be off for the next two weeks - maybe @sshleifer @sgugger @julien-c can take a look? ",
"@JetRunner Do you know who from @microsoft uploaded the MiniLM model?",
"@patrickvonplaten did it if I remember it right. He's on vocation so I'll take a look.\n",
"Here's the diff\r\n: microsoft/MiniLM-L12-H384-uncased
Language I am using the model on (English, Chinese ...): English
The problem arises when using:
* [x] the official example scripts: (give details below)
* [x] my own modified scripts: (give details below)
The ... | {
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https://api.github.com/repos/huggingface/transformers/issues/5775 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5775/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5775/comments | https://api.github.com/repos/huggingface/transformers/issues/5775/events | https://github.com/huggingface/transformers/pull/5775 | 657,431,896 | MDExOlB1bGxSZXF1ZXN0NDQ5NTQ4Nzg5 | 5,775 | [squad] make examples and dataset accessible from SquadDataset object | {
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"There seem to be some issues with CircleCI right now causing all the integration tests to fail. Please let me know if there is an issue on my end."
] | 1,594 | 1,598 | 1,598 | CONTRIBUTOR | null | In order to do evaluation on the SQuAD dataset using `squad_evaluate`, the user needs access to both the examples loaded in the dataset and the `TensorDataset` that contains values like `unique_id` and the like that are used in constructing the list of `SquadResult` objects. This PR surfaces the examples and dataset to... | {
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"Fixes for the failing tests are not detected by Github while being present on the branch ... Lets see if it comes back to life in a while ...",
"CI failure has been fixed on master.",
"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/5773?src=pr&el=h1) Report\n> Merging [#5773](https://codecov.i... | 1,594 | 1,597 | 1,595 | MEMBER | null | This will make it compatible with TorchScript export and avoid hardcoded `position_ids` tensor's device in the generated graph.
Solve the following issue: #5664
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co> | {
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"Merging without circleci."
] | 1,594 | 1,594 | 1,594 | CONTRIBUTOR | null | {
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https://api.github.com/repos/huggingface/transformers/issues/5771 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5771/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5771/comments | https://api.github.com/repos/huggingface/transformers/issues/5771/events | https://github.com/huggingface/transformers/issues/5771 | 657,403,345 | MDU6SXNzdWU2NTc0MDMzNDU= | 5,771 | Fine-tune BERT for regression problem | {
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"Hey @rxlian, \r\n\r\nWe are trying to move more general and \"researchy\" questions to our discussion forum here: https://discuss.huggingface.co/ and use github issues mainly for bugs. \r\n\r\nWould you mind posting your questions at the forum - other people might be interested as well :-) ",
"This issue has be... | 1,594 | 1,600 | 1,600 | 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/5770 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5770/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5770/comments | https://api.github.com/repos/huggingface/transformers/issues/5770/events | https://github.com/huggingface/transformers/pull/5770 | 657,372,863 | MDExOlB1bGxSZXF1ZXN0NDQ5NDk5Nzg1 | 5,770 | XLNet `use_cache` refactor | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/5770?src=pr&el=h1) Report\n> Merging [#5770](https://codecov.io/gh/huggingface/transformers/pull/5770?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/3653d01f2af0389207f2239875a8ceae41bf0598&el=desc) will **decrease... | 1,594 | 1,595 | 1,595 | CONTRIBUTOR | null | As discussed with @joeddav and @sgugger, this PR lightly refactors the `use_cache` argument in XLNet.
- In line with #5438, in the model methods `use_cache` defaults to None, which redirects to the model config value if no value is passed.
- `use_cache` is independent of `mem_len`: if `use_cache` is True and `mem_l... | {
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https://api.github.com/repos/huggingface/transformers/issues/5769 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5769/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5769/comments | https://api.github.com/repos/huggingface/transformers/issues/5769/events | https://github.com/huggingface/transformers/pull/5769 | 657,317,032 | MDExOlB1bGxSZXF1ZXN0NDQ5NDUzNzM2 | 5,769 | [fix] T5 ONNX test: model.to(torch_device) | {
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"Code Quality is failing due to files that were not modified in this PR, not addressing to avoid rebasing somewhere else.",
"ill fix code quality."
] | 1,594 | 1,594 | 1,594 | MEMBER | null | Should fix #5724
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co> | {
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https://api.github.com/repos/huggingface/transformers/issues/5768 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5768/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5768/comments | https://api.github.com/repos/huggingface/transformers/issues/5768/events | https://github.com/huggingface/transformers/issues/5768 | 657,315,849 | MDU6SXNzdWU2NTczMTU4NDk= | 5,768 | Confidence score prediction of pretrained models in extractive QA - similar to pipeline | {
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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",
"Have you got your answer? I got the same question.."
] | 1,594 | 1,606 | 1,600 | NONE | null | How can we calculate the confidence of a single sentence predicted from extractive question answering using autotokenizer. we will get a score using the pipeline method for a sentence, but what we get from the extractive qa are answer_Start_scores and answer_end_scores. How can we get one single score ? | {
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https://api.github.com/repos/huggingface/transformers/issues/5767 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5767/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5767/comments | https://api.github.com/repos/huggingface/transformers/issues/5767/events | https://github.com/huggingface/transformers/issues/5767 | 657,284,096 | MDU6SXNzdWU2NTcyODQwOTY= | 5,767 | How to get parameters from a Query. | {
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"It seems you're trying to identify entities in your query? You could use an NER model to do so, but I'm not sure the entities the NER models on the hub are trained on would work in your use-case. You can still check them out, and check the [NER script](https://github.com/huggingface/transformers/tree/master/exampl... | 1,594 | 1,601 | 1,601 | NONE | null | # ❓ Questions & Help
Hi maybe someone can help me with a problem, I need to get parameters from a query.
I already use question answering pipeline to identify a report and now I want to get some parameters to use as filter, example:
Query: How many electric cars sold in 2019?
Output: (Item: eletric cars / Ye... | {
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https://api.github.com/repos/huggingface/transformers/issues/5766 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5766/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5766/comments | https://api.github.com/repos/huggingface/transformers/issues/5766/events | https://github.com/huggingface/transformers/issues/5766 | 657,206,339 | MDU6SXNzdWU2NTcyMDYzMzk= | 5,766 | Hello,I have this problem in running 'run_glue.py'! | {
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"Hi @BCWang93, I had the same issue, you need to have scikit-learn installed to run 'run_glue.py'.\r\n\r\n`pip install scikit-learn` solved the issue for me.",
"Indeed, this issue happens when `scikit-learn` is not installed. Thanks @nassim-yagoub!"
] | 1,594 | 1,595 | 1,595 | 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,
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"Hello!\r\n\r\nCan you give a code that better explain your issue and a way to reproduce it please? Thanks :) ",
"Sorry! I check again and it works well!\r\nClose it!\r\n"
] | 1,594 | 1,596 | 1,596 | NONE | null | When using "transformers.WarmUp" with tensorflow 2.0.0, warming up restart in each epoch!
That is because, in keras "Callbacks.on_batch_begin(self, batch, logs)", batch start from zero in each epoch when using "fit" method. | {
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"In `RUN_SLOW=1` the new tests: `test_saved_model_with_attentions_outputs` and `test_saved_model_with_hidden_states_output` fail @jplu from https://github.com/huggingface/transformers/pull/5468. The problem is that I have to use `tf.cond(...)` and it seems like this forces me to also use `cast_bool_...`. Not sure i... | 1,594 | 1,597 | 1,597 | MEMBER | null | This PR adds Longformer
In a first step, it is made sure that code is clean and that all tests pass. Todo:
### ToDo List:
- [x] same output for local attention only
- [x] same output for local + global attention only
- [x] same output for aggressive test
- [x] add all other tests
- [x] add longformer QA
-... | {
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https://api.github.com/repos/huggingface/transformers/issues/5763 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5763/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5763/comments | https://api.github.com/repos/huggingface/transformers/issues/5763/events | https://github.com/huggingface/transformers/pull/5763 | 657,122,525 | MDExOlB1bGxSZXF1ZXN0NDQ5Mjk0OTkz | 5,763 | ADD ERNIE model | {
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"We shouldn't have to add those because the library should work out of the box with the models at https://huggingface.co/nghuyong\r\n\r\nThe discoverability of those models on huggingface.co is a different thing and we're open to suggestions to improve it\r\n\r\nFor instance, you should upload model cards describin... | 1,594 | 1,594 | 1,594 | CONTRIBUTOR | null | ERNIE is a serial model released by Baidu including:
ERNIE1.0: [Ernie: Enhanced representation through knowledge integration](https://arxiv.org/abs/1904.09223)
ERNIE2.0: [ERNIE 2.0: A Continual Pre-training Framework for Language Understanding](https://arxiv.org/abs/1907.12412)
ERNIE-tiny: Use data distillation from... | {
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https://api.github.com/repos/huggingface/transformers/issues/5762 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5762/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5762/comments | https://api.github.com/repos/huggingface/transformers/issues/5762/events | https://github.com/huggingface/transformers/issues/5762 | 657,062,034 | MDU6SXNzdWU2NTcwNjIwMzQ= | 5,762 | Feature request of Sparselty Gated Mixture-of-Experts and PowerNorm | {
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"Is there any update on this? Thanks.",
"@lucidrains made this [repo](https://github.com/lucidrains/mixture-of-experts) with me.",
"Thanks!",
"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contribut... | 1,594 | 1,605 | 1,605 | NONE | null | # 🚀 Feature request
- The newer variant of MoE for Transformer as in [GShard: Scaling Giant Models with Conditional
Computation and Automatic Sharding](https://arxiv.org/abs/2006.16668) ([Relevant codes](https://github.com/tensorflow/tensor2tensor/blob/master/tensor2tensor/models/research/moe.py))
- PowerNorm of ... | {
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https://api.github.com/repos/huggingface/transformers/issues/5761 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5761/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5761/comments | https://api.github.com/repos/huggingface/transformers/issues/5761/events | https://github.com/huggingface/transformers/pull/5761 | 657,015,861 | MDExOlB1bGxSZXF1ZXN0NDQ5MjA4MjE4 | 5,761 | [cleanup] T5 test, warnings | {
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- add task specific params logger statement to examples
- Let model.config.max_length determine document length for evaluation | {
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"> The UI for inputting a list of potential labels + possibly a hypothesis template is non trivial\r\n\r\nI think for purposes of the early inference API, customizing the hypothesis template is not all that important. I added support for providing labels as a list of comma-delimited strings instead of a list.\r\n\r... | 1,594 | 1,656 | 1,595 | CONTRIBUTOR | null | This PR adds a pipeline for zero-shot classification using pre-trained NLI models as demonstrated in our [zero-shot topic classification demo](https://huggingface.co/zero-shot/) and [blog post](https://joeddav.github.io/blog/2020/05/29/ZSL.html).
Addresses #5756, where @clmnt requested zero-shot classification in t... | {
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"The file paths aren't correct. (we have a \"legacy\" format for non-namespaced models – model pages link to the correct paths)\r\n\r\nIn fact if you look at the model pages, e.g. https://huggingface.co/t5-base – they already have (non-textual) model cards. Can you update those? Thanks=)",
"Up, @sshleifer ",
"#... | 1,594 | 1,595 | 1,595 | CONTRIBUTOR | null | All are identical.
Happy to update w more info!
I didn't have task tags because they seem to already work. | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/5758?src=pr&el=h1) Report\n> Merging [#5758](https://codecov.io/gh/huggingface/transformers/pull/5758?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/8ab565a4be5a7fd96b19ef88d474037ef31f27e5&el=desc) will **not chan... | 1,594 | 1,594 | 1,594 | CONTRIBUTOR | null | {
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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"
] | 1,594 | 1,600 | 1,600 | MEMBER | null | # 🚀 Feature request
Would love to have https://huggingface.co/qa in the model hub mostly for the inference widget/api (the demo is down quite regularly)
## Motivation
A lot of companies might want to test it/use it!
## Your contribution
🔥 emojis on slack | {
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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"
] | 1,594 | 1,600 | 1,600 | MEMBER | null | # 🚀 Feature request
would love to be able to use https://huggingface.co/zero-shot/ with the inference API
## Motivation
it would help many companies run zero-shot classification of long documents
## Your contribution
I can provide 🔥 emojis on slack
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"Thanks for flagging. We are still trying to get to the bottom of which special tokens to use for mbart-large-cc25. See https://github.com/pytorch/fairseq/issues/2258 .",
"This might not be the best solution but after experimenting with the tokenizer special tokens a bit, it seems like the model is insensitive to... | 1,594 | 1,619 | 1,619 | CONTRIBUTOR | null | # 🐛 Bug
## Information
Model I am using (Bert, XLNet ...): MBART
Language I am using the model on (English, Chinese ...): English, Romanian
The problem arises when using:
* [ ] the official example scripts: (give details below)
* [x] my own modified scripts: (give details below)
The tasks I am working... | {
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"I can see it now: https://huggingface.co/mrm8488/t5-base-finetuned-wikiSQL\r\n\r\nLet us know if something looks wrong (otherwise, feel free to close)",
"Everything right. Maybe I searched it too soon and was not indexed yet."
] | 1,594 | 1,594 | 1,594 | CONTRIBUTOR | null | Hi guys,
I have fine-tuned T5-base on wikiSQL dataset and uploaded it to HF model hub. The problem is that the model doesn't appear there. AFAIK it is because the config file is not right. Should I change anything?
Thanks. | {
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"Should we be using `sshleifer/mbart-large-cc25` has it has a name very similar to `facebook/mbart-large-cc25`? @sshleifer is the name of a HuggingFace contributor and there could be a rename mismatch.\r\n\r\nAfter downloading both `sshleifer/mbart-large-cc25` and `facebook/mbart-large-cc25`\r\n\r\n```\r\nfrom tra... | 1,594 | 1,598 | 1,594 | CONTRIBUTOR | null | # 🐛 Bug
Trying to use the [example](https://huggingface.co/facebook/mbart-large-cc25) fails to load the tokenizer
```
from transformers import AutoTokenizer
tokenizer = AutoTokenizer.from_pretrained("facebook/mbart-large-cc25")
```
## Information
Model I am using `facebook/mbart-large-cc25`
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/5752?src=pr&el=h1) Report\n> Merging [#5752](https://codecov.io/gh/huggingface/transformers/pull/5752?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/5d178954c909141363df4513eb5f0cc80e5e829c&el=desc) will **increase... | 1,594 | 1,594 | 1,594 | CONTRIBUTOR | null | {
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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"
] | 1,594 | 1,600 | 1,600 | 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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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/5749?src=pr&el=h1) Report\n> Merging [#5749](https://codecov.io/gh/huggingface/transformers/pull/5749?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/5668fdb09e1bcd888930c1ff242bf200649da39c?el=desc) will **increase... | 1,594 | 1,602 | 1,602 | MEMBER | null | Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>
closes #7665 | {
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"**Update:** I have downgraded transformers to the version `transformers==2.11.0` and it seems working, even if for now I have used little datasets for test. I will update this issue if someone is interested",
"The code in Longformer has changed quite a bit. I think a simply remedy to make your code work with the... | 1,594 | 1,633 | 1,602 | NONE | null | I'm having an issue on the pretraining of a BERT-like model. I used the following function twice: the first time with [bert-base-multilingual-cased](https://storage.googleapis.com/bert_models/2018_11_23/multi_cased_L-12_H-768_A-12.zip) and the second time with a simil version, but more efficient for **long documents**,... | {
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https://api.github.com/repos/huggingface/transformers/issues/5747 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5747/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5747/comments | https://api.github.com/repos/huggingface/transformers/issues/5747/events | https://github.com/huggingface/transformers/issues/5747 | 656,644,141 | MDU6SXNzdWU2NTY2NDQxNDE= | 5,747 | Unrecognized configuration class <class 'transformers.configuration_electra.ElectraConfig'> | {
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"Hi! Even though the ELECTRA model was added in version v2.8.0, the `ElectraForQuestionAnswering` head was only added in v3.0.0. You would need to upgrade your `transformers` version to at at least v3.0.0 for your code to work!",
"I am trying to use pretrained Distilbert in EncoderDecoderModel but i am getting th... | 1,594 | 1,602 | 1,595 | NONE | null | # 🐛 Bug
## Information
Model I am using : ahotrod/electra_large_discriminator_squad2_512
This problem happened again, when I use ELECTRA on question-answering pipeline. My Transformers version is 2.11.0.
Code:
> from transformers import pipeline, AutoTokenizer, AutoModelForQuestionAnswering
>
> tokeniz... | {
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"I figured it out. Thanks."
] | 1,594 | 1,594 | 1,594 | NONE | null | I understand the function has been defined in tokenization_utils_base.py but in the return statement there is a recursive call to the same function. I am unable to understand where does the actual offset calculation takes place.
Tapan
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https://api.github.com/repos/huggingface/transformers/issues/5745 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5745/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5745/comments | https://api.github.com/repos/huggingface/transformers/issues/5745/events | https://github.com/huggingface/transformers/issues/5745 | 656,630,486 | MDU6SXNzdWU2NTY2MzA0ODY= | 5,745 | google/reformer-enwik8 tokenizer was not found in tokenizers model name list | {
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"That's because only the crime and punishment modell has an uploaded tokenizer.\r\n",
"`google/reformer-enwik8` is the only model that is a char language model and does not need a tokenizer. If you take a look here: https://huggingface.co/google/reformer-enwik8#reformer-language-model-on-character-level-and-train... | 1,594 | 1,600 | 1,600 | NONE | null | # 🐛 Bug
## Information
Model I am using (Bert, XLNet ...): Reformer
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 working on is:... | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/5744?src=pr&el=h1) Report\n> Merging [#5744](https://codecov.io/gh/huggingface/transformers/pull/5744?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/838950ee44360ca427f345441502d4e7ab2772b8&el=desc) will **increase... | 1,594 | 1,594 | 1,594 | CONTRIBUTOR | null | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/5743?src=pr&el=h1) Report\n> Merging [#5743](https://codecov.io/gh/huggingface/transformers/pull/5743?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/838950ee44360ca427f345441502d4e7ab2772b8&el=desc) will **decrease... | 1,594 | 1,594 | 1,594 | CONTRIBUTOR | null | {
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"Which task did you fine tune the model on? For single sentence it is probably Cola or SST-2 task right? \r\nYou must use predict function by specifying do_predict in the input parameters.",
"Thank you for answering my question!\r\nI fine-tuned my model on a original task for binary classifications of Japanese s... | 1,594 | 1,594 | 1,594 | NONE | null | Hi!
I fine-turned BERT on my own datasets by using run_glue.py. And I got pytorch_model.bin as output. I want to use pytorch_model.bin in another system to classify a single sentence from web browser.
I would be grateful if you could teach me about usage. | {
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"This is a mismatch between the file location and what you're indicating to the script. Are you sure you're pointing to the correct directory? If so, can you try using absolute paths?",
"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activ... | 1,594 | 1,601 | 1,601 | NONE | null | Hi, I am just following this tutorial https://github.com/huggingface/transformers/tree/master/examples/question-answering and created a folder named SQUAD_DIR under transformers. The train and test file were downloaded and put into the SQUAD_DIR folder. But the error is that such a file can not be found. | {
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https://api.github.com/repos/huggingface/transformers/issues/5740 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5740/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5740/comments | https://api.github.com/repos/huggingface/transformers/issues/5740/events | https://github.com/huggingface/transformers/pull/5740 | 656,491,822 | MDExOlB1bGxSZXF1ZXN0NDQ4NzgxNTcz | 5,740 | [ModelOutput] Proposal to fix compatibility issue with torch.DataParallel | {
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"Update: this is actually not working because it breaks the possibility to unpack the output of the model's forward pass which is obviously a common pattern (cf failure in the tests) :-/",
"This is superseded by #6138 now."
] | 1,594 | 1,651 | 1,596 | MEMBER | null | This is a proposal to fix #5693 by making `ModelOutput` inherit from a dictionary and behave like a dictionary on iteration (i.e. iterate over the keys rather than the values).
This could break backward compatibility when users iterates over the output tuple rather than indexing it.
On the other hand, we regain b... | {
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https://api.github.com/repos/huggingface/transformers/issues/5739 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5739/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5739/comments | https://api.github.com/repos/huggingface/transformers/issues/5739/events | https://github.com/huggingface/transformers/issues/5739 | 656,467,567 | MDU6SXNzdWU2NTY0Njc1Njc= | 5,739 | TypeError: join() argument must be str or bytes, not 'NoneType' | {
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"Hopefully fixed by https://github.com/huggingface/transformers/pull/5361",
"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"
] | 1,594 | 1,600 | 1,600 | NONE | null | Trying to run seq2seq example scripts with multiple gpus and wandb logging and I get
```
Traceback (most recent call last):
File "/home/martongyorgy/projects/tmp/transformers/examples/seq2seq/finetune.py", line 364, in <module>
xsum_rouge.json
File "/home/martongyorgy/projects/tmp/transformers/examples/seq2se... | {
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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"
] | 1,594 | 1,600 | 1,600 | NONE | null | # 🐛 Bug
## Information
Model I am using (Bert, XLNet ...): Bert
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: (give details below)
The tasks I am working on is:
* ... | {
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https://api.github.com/repos/huggingface/transformers/issues/5737 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5737/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5737/comments | https://api.github.com/repos/huggingface/transformers/issues/5737/events | https://github.com/huggingface/transformers/pull/5737 | 656,451,065 | MDExOlB1bGxSZXF1ZXN0NDQ4NzQ4MTgx | 5,737 | Update model_summary.rst | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/5737?src=pr&el=h1) Report\n> Merging [#5737](https://codecov.io/gh/huggingface/transformers/pull/5737?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/cd30f98fd24837f285cfc221b91cfa66b1b38c32&el=desc) will **decrease... | 1,594 | 1,595 | 1,595 | CONTRIBUTOR | null | Add '-' to make the reference of Transformer-XL more accurate and formal. | {
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https://api.github.com/repos/huggingface/transformers/issues/5736 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5736/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5736/comments | https://api.github.com/repos/huggingface/transformers/issues/5736/events | https://github.com/huggingface/transformers/issues/5736 | 656,438,905 | MDU6SXNzdWU2NTY0Mzg5MDU= | 5,736 | TypeError: an integer is required (got type NoneType) while using run_language_modeling.py | {
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"The error was caused because I did not specify the type of dataset (```LinebyLine``` in my case). After doing that, it worked. ",
"I'm facing the same error and below is my run command. Any pointers, @cabhijith ?\r\n`cmd = \"python run_language_modeling.py \\\r\n --output_dir ./bertout \\\r\n --model_type ... | 1,594 | 1,617 | 1,594 | NONE | null | # 🐛 Bug
## Information
Model I am using (Bert, XLNet ...): BERT
Language I am using the model on (English, Chinese ...): English
The problem arises when using:
* [ ] the official example scripts: (give details below) Yes
* [ ] my own modified scripts: (give details below)
The tasks I am working on is:... | {
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https://api.github.com/repos/huggingface/transformers/issues/5735 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5735/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5735/comments | https://api.github.com/repos/huggingface/transformers/issues/5735/events | https://github.com/huggingface/transformers/pull/5735 | 656,435,428 | MDExOlB1bGxSZXF1ZXN0NDQ4NzM1MjMw | 5,735 | Create README.md (Model card for Norod78/hewiki-articles-distilGPT2py-il) | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/5735?src=pr&el=h1) Report\n> Merging [#5735](https://codecov.io/gh/huggingface/transformers/pull/5735?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/cd30f98fd24837f285cfc221b91cfa66b1b38c32&el=desc) will **increase... | 1,594 | 1,594 | 1,594 | CONTRIBUTOR | null | Model card for Norod78/hewiki-articles-distilGPT2py-il
A tiny GPT2 model for generating Hebrew text | {
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https://api.github.com/repos/huggingface/transformers/issues/5734 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5734/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5734/comments | https://api.github.com/repos/huggingface/transformers/issues/5734/events | https://github.com/huggingface/transformers/pull/5734 | 656,343,180 | MDExOlB1bGxSZXF1ZXN0NDQ4NjU4ODQy | 5,734 | Fix typo (model saving TF) | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/5734?src=pr&el=h1) Report\n> Merging [#5734](https://codecov.io/gh/huggingface/transformers/pull/5734?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/f0bda06f43a0d5e4ef80ad0f1812027b658b724d&el=desc) will **increase... | 1,594 | 1,595 | 1,595 | CONTRIBUTOR | null | {
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https://api.github.com/repos/huggingface/transformers/issues/5733 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5733/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5733/comments | https://api.github.com/repos/huggingface/transformers/issues/5733/events | https://github.com/huggingface/transformers/pull/5733 | 656,322,496 | MDExOlB1bGxSZXF1ZXN0NDQ4NjQxOTQ3 | 5,733 | DataParallel fixes | {
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```
- if self.args.n_gpu > 1:
+ if isinstance(model, nn.DataParallel):
```
discussion: https://github.com/huggingface/transformers/issues/5693#issuecomment-657937349
2. fix tests - require the same fixup under DataParallel as the tr... | {
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"Thanks for the PR!!\r\n\r\nCan you just go a bit forward and create a parameter in `training_args_tf.py` for this?",
"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/5732?src=pr&el=h1) Report\n> Merging [#5732](https://codecov.io/gh/huggingface/transformers/pull/5732?src=pr&el=desc) into [master]... | 1,594 | 1,601 | 1,601 | CONTRIBUTOR | null | {
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https://api.github.com/repos/huggingface/transformers/issues/5731 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5731/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5731/comments | https://api.github.com/repos/huggingface/transformers/issues/5731/events | https://github.com/huggingface/transformers/pull/5731 | 656,304,568 | MDExOlB1bGxSZXF1ZXN0NDQ4NjI3NTIy | 5,731 | [fix] mbart_en_ro_generate test now identical to fairseq | {
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"I think CI is spurious.",
"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/5731?src=pr&el=h1) Report\n> Merging [#5731](https://codecov.io/gh/huggingface/transformers/pull/5731?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/c3c61ea01733403210a1d159114e8c3d042d... | 1,594 | 1,594 | 1,594 | CONTRIBUTOR | null | violentele -> violenţa
Slow test was previously failing. | {
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https://api.github.com/repos/huggingface/transformers/issues/5730 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5730/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5730/comments | https://api.github.com/repos/huggingface/transformers/issues/5730/events | https://github.com/huggingface/transformers/issues/5730 | 656,277,438 | MDU6SXNzdWU2NTYyNzc0Mzg= | 5,730 | Using pipeline('ner'), partial tokens returned when grouped_entities=True | {
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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"
] | 1,594 | 1,600 | 1,600 | CONTRIBUTOR | null | # 🐛 Bug
## Information
Model I am using (Bert, XLNet ...): pipeline('ner', grouped_entities=True)
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: (give details below)
... | {
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https://api.github.com/repos/huggingface/transformers/issues/5729 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5729/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5729/comments | https://api.github.com/repos/huggingface/transformers/issues/5729/events | https://github.com/huggingface/transformers/issues/5729 | 656,276,886 | MDU6SXNzdWU2NTYyNzY4ODY= | 5,729 | [Feature request] Pass any Iterable to tokenizer.__call__() | {
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"This should be handle in `nlp` in my opinion.\r\n\r\nIt's related to https://github.com/huggingface/nlp/issues/387\r\n\r\ncc @lhoestq ",
"Nice find on the `nlp` side! There are also other use cases when users might want to pass in a NumPy array, or other type of Iterable. Any reason we shouldn't extend to all It... | 1,594 | 1,601 | 1,601 | CONTRIBUTOR | null | # 🚀 Feature request
Currently `tokenizer.__call__` accepts `List[List[str]]`, for pre-tokenized inputs. It should also accept `List[np.ndarray[str]]`.
## Motivation
The `nlp` library stores a batch of pre-tokenized strings as `List[np.ndarray[str]]` after creating them with `dset.map(batched=True)`. Currently... | {
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https://api.github.com/repos/huggingface/transformers/issues/5728 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5728/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5728/comments | https://api.github.com/repos/huggingface/transformers/issues/5728/events | https://github.com/huggingface/transformers/pull/5728 | 656,257,626 | MDExOlB1bGxSZXF1ZXN0NDQ4NTkwMzMw | 5,728 | Return tokens from tokenizer.__call__() | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/5728?src=pr&el=h1) Report\n> Merging [#5728](https://codecov.io/gh/huggingface/transformers/pull/5728?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/c3c61ea01733403210a1d159114e8c3d042dabb7&el=desc) will **increase... | 1,594 | 1,594 | 1,594 | CONTRIBUTOR | null | Currently, pre-tokenizing (not encode tokens to ids, just generating the tokens) a batch of strings requires a manual for-loop. I'm adding a method to call the underlying Rust batch_encode implementation, which runs about 2x faster than a Python for-loop. I was expecting an even greater speedup, so if there's any way t... | {
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https://api.github.com/repos/huggingface/transformers/issues/5727 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5727/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5727/comments | https://api.github.com/repos/huggingface/transformers/issues/5727/events | https://github.com/huggingface/transformers/issues/5727 | 656,256,843 | MDU6SXNzdWU2NTYyNTY4NDM= | 5,727 | t5 model card | {
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cc @clmnt | {
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https://api.github.com/repos/huggingface/transformers/issues/5726 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5726/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5726/comments | https://api.github.com/repos/huggingface/transformers/issues/5726/events | https://github.com/huggingface/transformers/issues/5726 | 656,230,983 | MDU6SXNzdWU2NTYyMzA5ODM= | 5,726 | Finetuning GPT2 with Custom Loss | {
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"Saw your question on `discussion.huggingface.co` => thanks for posting it there. We are trying to handle these kinds of questions (longer questions / very researchy bugs/problems in the forum) - so let's move it there :-) ",
"https://discuss.huggingface.co/t/finetuning-gpt2-with-user-defined-loss/163/12?u=patric... | 1,594 | 1,594 | 1,594 | NONE | null | ## System Info
- Ubuntu 20.04
- Pytorch: 1.5.1+cpu
- Transformers: 3.0.2
- Python: 3.7.6
## Details
Ultimately, I would like to finetune GPT2 on my dataset using a custom loss from an `NGrams` model I have created. Here is what I for the model:
```python
from transformers import GPT2LMHeadModel
from FeatureE... | {
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https://api.github.com/repos/huggingface/transformers/issues/5725 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5725/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5725/comments | https://api.github.com/repos/huggingface/transformers/issues/5725/events | https://github.com/huggingface/transformers/pull/5725 | 656,174,683 | MDExOlB1bGxSZXF1ZXN0NDQ4NTIwMzc3 | 5,725 | TPU CI testing | {
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"@LysandreJik I'm wondering if CircleCI does not run the pending changes to `.circleci/config.yml` if the changes came from a PR from a forked repo.\r\n\r\nWhen testing on my private repo, I used a branch on the main repo and CircleCI did include the pending changes when running. I've seen lots of differences betwe... | 1,594 | 1,596 | 1,596 | CONTRIBUTOR | null | Run TPU CI testing using CircleCI.
I sent a guide in Slack with steps needed on the owner side for CircleCI and Google Cloud to make this work (setting env vars, creating GKE cluster, and populating the dataset).
| {
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https://api.github.com/repos/huggingface/transformers/issues/5724 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5724/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5724/comments | https://api.github.com/repos/huggingface/transformers/issues/5724/events | https://github.com/huggingface/transformers/issues/5724 | 656,144,660 | MDU6SXNzdWU2NTYxNDQ2NjA= | 5,724 | T5 ONNX Export Test Failing on GPU | {
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https://api.github.com/repos/huggingface/transformers/issues/5722 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5722/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5722/comments | https://api.github.com/repos/huggingface/transformers/issues/5722/events | https://github.com/huggingface/transformers/issues/5722 | 656,119,783 | MDU6SXNzdWU2NTYxMTk3ODM= | 5,722 | Cannot preprocess WNUT'17 dataset for token-classification | {
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"@kushalj001 It may take a while to preprocess the whole dataset. Not sure if you waited long enough. Check if your have enough RAM when you are doing this since if the dataset is too large you might run out of memory.",
"This issue has been automatically marked as stale because it has not had recent activity. It... | 1,594 | 1,602 | 1,602 | CONTRIBUTOR | null | # 🐛 Bug
## Information
Model I am using (Bert, XLNet ...):BERT
Language I am using the model on (English, Chinese ...):
The problem arises when using:
* [x] the official example scripts: I am trying to run the run_ner.py script for the WNUT’17 dataset. I followed the preprocessing steps mentioned in the R... | {
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"Seems you are using Powershell. Since this is a bash shell file, you will need to run it outside of Powershell in bash shell.\r\n\r\nHere's an example using Google Colab\r\n\r\nhttps://colab.research.google.com/github/interactive-fiction-class/interactive-fiction-class.github.io/blob/master/homeworks/language-mod... | 1,594 | 1,600 | 1,600 | NONE | null | # ❓ Questions & Help
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