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https://api.github.com/repos/huggingface/transformers/issues/4820 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/4820/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/4820/comments | https://api.github.com/repos/huggingface/transformers/issues/4820/events | https://github.com/huggingface/transformers/pull/4820 | 632,707,174 | MDExOlB1bGxSZXF1ZXN0NDI5NDIwNzY3 | 4,820 | Updates args in tf squad example. | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/4820?src=pr&el=h1) Report\n> Merging [#4820](https://codecov.io/gh/huggingface/transformers/pull/4820?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/c58e6c129a153ca1a5021e5d7e642d00bf011e20&el=desc) will **increase... | 1,591 | 1,591 | 1,591 | CONTRIBUTOR | null | Updates example for execution of `run-tf-squad.py` due to changes in https://github.com/huggingface/transformers/pull/4530, particularly removal of `mode` and `optimizer_name`. | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/4819?src=pr&el=h1) Report\n> Merging [#4819](https://codecov.io/gh/huggingface/transformers/pull/4819?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/c58e6c129a153ca1a5021e5d7e642d00bf011e20&el=desc) will **increase... | 1,591 | 1,591 | 1,591 | COLLABORATOR | null | `PretrainedBartModel ` is currently not being exported so one has to manually do
```python
from transformers.modeling_bart import PretrainedBartModel
```
This required behaviour is different from other models which do expose their PretrainedModel in `__init__`. | {
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https://api.github.com/repos/huggingface/transformers/issues/4818 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/4818/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/4818/comments | https://api.github.com/repos/huggingface/transformers/issues/4818/events | https://github.com/huggingface/transformers/pull/4818 | 632,656,593 | MDExOlB1bGxSZXF1ZXN0NDI5Mzc2MzQ3 | 4,818 | Enable multiprocessing in glue datasets | {
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https://api.github.com/repos/huggingface/transformers/issues/4817 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/4817/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/4817/comments | https://api.github.com/repos/huggingface/transformers/issues/4817/events | https://github.com/huggingface/transformers/issues/4817 | 632,364,225 | MDU6SXNzdWU2MzIzNjQyMjU= | 4,817 | Question: Where do I find the Transformer model from the paper "Attention is all you need" ? | {
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"You don't need this library if you only want the transformer module specifically.\r\n\r\nPyTorch: https://pytorch.org/docs/master/generated/torch.nn.Transformer.html\r\nTensorFlow: https://www.tensorflow.org/tutorials/text/transformer#create_the_transformer",
"Thanks @BramVanroy "
] | 1,591 | 1,591 | 1,591 | NONE | null | Hello
Firstly, thanks for supporting all questions here.
I read the paper "Attention is all you need" and wondering which class should I use in the HuggingFace library to use the Transformer architecture used in the paper.
Can you please advise?
Thanks
Abhishek | {
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"@dav009 Thanks for posting this issue!\r\n\r\n1. **Inconsistent grouping** - correct that `B` and `I` tokens are not yet considered. Will have to include this in a new PR.\r\n2. **Lost tokens** - the skipped tokens are those with an entity type found in the `ignore_labels` argument for `TokenClassificationPipeline... | 1,591 | 1,600 | 1,600 | NONE | null | # 🐛 Bug
## Information
"mrm8488/bert-spanish-cased-finetuned-ner"
Language I am using the model on (English, Chinese ...): Spanish
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/4815 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/4815/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/4815/comments | https://api.github.com/repos/huggingface/transformers/issues/4815/events | https://github.com/huggingface/transformers/pull/4815 | 632,166,431 | MDExOlB1bGxSZXF1ZXN0NDI4OTQ1Mzk2 | 4,815 | [marian tests ] pass device to pipeline | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/4815?src=pr&el=h1) Report\n> Merging [#4815](https://codecov.io/gh/huggingface/transformers/pull/4815?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/56d5d160cdd177ae6e644506535b56e79feccf68&el=desc) will **decrease... | 1,591 | 1,591 | 1,591 | CONTRIBUTOR | null | fixes self-hosted-runner failure | {
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https://api.github.com/repos/huggingface/transformers/issues/4814 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/4814/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/4814/comments | https://api.github.com/repos/huggingface/transformers/issues/4814/events | https://github.com/huggingface/transformers/issues/4814 | 632,135,419 | MDU6SXNzdWU2MzIxMzU0MTk= | 4,814 | TPU Training fails with --evaluate_during_training | {
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"Had the same problem with TPU. `--logging_step` seems to freeze everything. \r\nI have removed logging and then evaluate it after training. ",
"Hi, I fail to reproduce this on `master` following your steps. Can you try pulling from master and letting me know if the issue is resolved? If it's not I'll take a deep... | 1,591 | 1,598 | 1,598 | CONTRIBUTOR | null | # 🐛 Bug
TPU Trainer does not seem to support `--evaluate_during_training`. When the training loop goes into logging part, the whole process just hangs up stalling training. The same code/dataset with a multi-gpu setup works well.
I am trying to move my company to Huggingface so want to train models on TPUs on ou... | {
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https://api.github.com/repos/huggingface/transformers/issues/4813 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/4813/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/4813/comments | https://api.github.com/repos/huggingface/transformers/issues/4813/events | https://github.com/huggingface/transformers/issues/4813 | 632,052,581 | MDU6SXNzdWU2MzIwNTI1ODE= | 4,813 | Is albert lm finetuning with SOP in Pytorch supported? | {
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"Hi, `run_language_modeling.py` does support the Albert model. It only does MLM though, no SOP.",
"I see, am i correct in assuming that pretraining/finetuning the albert model with run_language_modeling.py which only supports MLM task, would result in lower performance, vs training with a script from another li... | 1,591 | 1,591 | 1,591 | NONE | null | # ❓ Questions & Help
Hello,
I am trying to use transfer learning on the albert language model. Before i train it on Squad.
Does run_language_modeling.py support albert models and SOP ?
Thank you
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- the page with all community models
- the documentation of the model
Remove the manual doc links as a result. | {
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https://api.github.com/repos/huggingface/transformers/issues/4810 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/4810/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/4810/comments | https://api.github.com/repos/huggingface/transformers/issues/4810/events | https://github.com/huggingface/transformers/pull/4810 | 631,991,489 | MDExOlB1bGxSZXF1ZXN0NDI4Nzg5MjAz | 4,810 | [Benchmark] Add encoder decoder to benchmark and clean labels | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/4810?src=pr&el=h1) Report\n> Merging [#4810](https://codecov.io/gh/huggingface/transformers/pull/4810?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/b6f365a8ed32eca20034084f74450723414b5de6&el=desc) will **increase... | 1,591 | 1,591 | 1,591 | MEMBER | null | This PR cleans the benchmark utils a bit more:
- tracing is made independent from CPU memory benchmarking
- possibility to benchmark encoder-decoder models is added
- 3 new tests
- general refactoring | {
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https://api.github.com/repos/huggingface/transformers/issues/4809 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/4809/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/4809/comments | https://api.github.com/repos/huggingface/transformers/issues/4809/events | https://github.com/huggingface/transformers/pull/4809 | 631,946,809 | MDExOlB1bGxSZXF1ZXN0NDI4NzQ4OTUw | 4,809 | [EncoderDecoderConfig] automatically set decoder config to decoder | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/4809?src=pr&el=h1) Report\n> Merging [#4809](https://codecov.io/gh/huggingface/transformers/pull/4809?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/47a551d17b6ed2eaf03301f049006d559fca5cf3&el=desc) will **decrease... | 1,591 | 1,591 | 1,591 | MEMBER | null | When instantiating an encoder-decoder configuration from two pretrainied configs, the decoder config should automatically set to `config.is_decoder=True`.
In general, whenever we instantiate an encoder decoder model, no matter how, the resulting decoder config should have the attribute `decoder.is_decoder=True`.
... | {
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https://api.github.com/repos/huggingface/transformers/issues/4808 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/4808/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/4808/comments | https://api.github.com/repos/huggingface/transformers/issues/4808/events | https://github.com/huggingface/transformers/pull/4808 | 631,935,471 | MDExOlB1bGxSZXF1ZXN0NDI4NzM5MDYx | 4,808 | Expose classes used in documentation | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/4808?src=pr&el=h1) Report\n> Merging [#4808](https://codecov.io/gh/huggingface/transformers/pull/4808?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/5c0cfc2cf0941d2db368767fd232d8712449c7f8&el=desc) will **increase... | 1,591 | 1,591 | 1,591 | COLLABORATOR | null | Currently, the documentation page of the tokenizers has three methods lacking documentation (see [here](https://huggingface.co/transformers/main_classes/tokenizer.html#pretrainedtokenizerfast)). This PR adds them to the `__init__` so sphynx can see them.
If there is one that should not be public, we should remove it... | {
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https://api.github.com/repos/huggingface/transformers/issues/4807 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/4807/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/4807/comments | https://api.github.com/repos/huggingface/transformers/issues/4807/events | https://github.com/huggingface/transformers/pull/4807 | 631,929,438 | MDExOlB1bGxSZXF1ZXN0NDI4NzMzNzU1 | 4,807 | Use labels to remove deprecation warnings | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/4807?src=pr&el=h1) Report\n> Merging [#4807](https://codecov.io/gh/huggingface/transformers/pull/4807?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/5c0cfc2cf0941d2db368767fd232d8712449c7f8&el=desc) will **decrease... | 1,591 | 1,591 | 1,591 | COLLABORATOR | null | This is a follow-up from #4722 and remove the deprecated arguments in the tests. | {
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https://api.github.com/repos/huggingface/transformers/issues/4806 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/4806/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/4806/comments | https://api.github.com/repos/huggingface/transformers/issues/4806/events | https://github.com/huggingface/transformers/issues/4806 | 631,880,557 | MDU6SXNzdWU2MzE4ODA1NTc= | 4,806 | Albert pretrained weights change across runs. | {
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"I just did the same experiment with Roberta weights and did not have the same issue.",
"Hi, I can reproduce. This is due to the archive maps not being available anymore, and therefore the wrong ALBERT models are linked.\r\n\r\nThanks for raising the issue, this is quite a bug.\r\n\r\ncc @julien-c ",
"My bad! I... | 1,591 | 1,592 | 1,592 | NONE | null | # 🐛 Bug
## Information
Model I am using (Bert, XLNet ...): TFAlbertModel
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)
```
import tensorflow as... | {
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https://api.github.com/repos/huggingface/transformers/issues/4805 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/4805/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/4805/comments | https://api.github.com/repos/huggingface/transformers/issues/4805/events | https://github.com/huggingface/transformers/issues/4805 | 631,876,991 | MDU6SXNzdWU2MzE4NzY5OTE= | 4,805 | Invalid Argument for Onnxruntime Inference on GPT2 | {
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"Assigning @mfuntowicz, the king of the onnx conversion!",
"@mihail911, do you need attention_mask and token_type_ids in input? If not, you can inference the exported model like the following:\r\n model.run(None, {\"input_ids\": np.array([blah])})\r\n\r\nGPT-2 attention is unidirectional (right attends to le... | 1,591 | 1,596 | 1,591 | NONE | null | # 🐛 Bug
## Information
Model I am using (Bert, XLNet ...): GPT2
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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https://api.github.com/repos/huggingface/transformers/issues/4804 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/4804/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/4804/comments | https://api.github.com/repos/huggingface/transformers/issues/4804/events | https://github.com/huggingface/transformers/pull/4804 | 631,869,488 | MDExOlB1bGxSZXF1ZXN0NDI4NjgxNDY3 | 4,804 | Add link to community models | {
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"Thanks for the review @clmnt, doing god's work"
] | 1,591 | 1,591 | 1,591 | COLLABORATOR | null | {
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https://api.github.com/repos/huggingface/transformers/issues/4803 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/4803/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/4803/comments | https://api.github.com/repos/huggingface/transformers/issues/4803/events | https://github.com/huggingface/transformers/pull/4803 | 631,864,842 | MDExOlB1bGxSZXF1ZXN0NDI4Njc3NDky | 4,803 | [WIP] Blenderbot | {
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"Awesome, looks like the model is soon complete :-) \r\n\r\nA couple of things I think that could be improved a bit:\r\n\r\n1. More consistent naming with other models. For me personally, I try to write the code as similar as possible to the `bert_modeling.py` code. `input_tensor` => `hidden_states`, `incremental_s... | 1,591 | 1,651 | 1,601 | NONE | null | **UPDATES - 14 AUGUST 2020**
- Blenderbot-3B is working exactly in the same way as parlai and they have the same generation outputs
- Blenderbot-90M also generates the same output as parlai in most cases but it can sometime generate a sequence with a small difference.
For example:
Parlai: `i' m not sure . i j... | {
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https://api.github.com/repos/huggingface/transformers/issues/4802 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/4802/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/4802/comments | https://api.github.com/repos/huggingface/transformers/issues/4802/events | https://github.com/huggingface/transformers/pull/4802 | 631,843,391 | MDExOlB1bGxSZXF1ZXN0NDI4NjU5MTU3 | 4,802 | [cleanup] MarianTokenizer: delete unused constants | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/4802?src=pr&el=h1) Report\n> Merging [#4802](https://codecov.io/gh/huggingface/transformers/pull/4802?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/acaa2e6267ebfda9814795fa00b6ad86c35ea5d6&el=desc) will **increase... | 1,591 | 1,592 | 1,591 | CONTRIBUTOR | null | slow tests pass.
The only needed constant is `vocab_files_names` | {
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https://api.github.com/repos/huggingface/transformers/issues/4801 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/4801/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/4801/comments | https://api.github.com/repos/huggingface/transformers/issues/4801/events | https://github.com/huggingface/transformers/issues/4801 | 631,820,649 | MDU6SXNzdWU2MzE4MjA2NDk= | 4,801 | pip install -e does not always install the correct isort version | {
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"@LysandreJik @julien-c any ideas?",
"Works for me, no issues. But `isort==4.3.21` is not precise enough, you need to have the actual precise commit.\r\n\r\nCan you try `pip uninstall isort && pip install git+git://github.com/timothycrosley/isort.git@e63ae06ec7d70b06df9e528357650281a3d3ec22#egg=isort`\r\n?",
"T... | 1,591 | 1,591 | 1,591 | CONTRIBUTOR | null | ```bash
pip install -e .["dev"]
make quality
```
### Output
```bash
black --check --line-length 119 --target-version py35 examples templates tests src utils
All done! ✨ 🍰 ✨
306 files would be left unchanged.
isort --check-only --recursive examples templates tests src utils
ERROR: /Users/shleifer/transformers... | {
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https://api.github.com/repos/huggingface/transformers/issues/4800 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/4800/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/4800/comments | https://api.github.com/repos/huggingface/transformers/issues/4800/events | https://github.com/huggingface/transformers/pull/4800 | 631,801,234 | MDExOlB1bGxSZXF1ZXN0NDI4NjIyMzE1 | 4,800 | [isort] add matplotlib to known 3rd party dependencies | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/4800?src=pr&el=h1) Report\n> Merging [#4800](https://codecov.io/gh/huggingface/transformers/pull/4800?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/acaa2e6267ebfda9814795fa00b6ad86c35ea5d6&el=desc) will **increase... | 1,591 | 1,591 | 1,591 | CONTRIBUTOR | null | Many people (like me) have it installed locally, so this will synchronize local isort and circleci. | {
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https://api.github.com/repos/huggingface/transformers/issues/4799 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/4799/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/4799/comments | https://api.github.com/repos/huggingface/transformers/issues/4799/events | https://github.com/huggingface/transformers/pull/4799 | 631,798,464 | MDExOlB1bGxSZXF1ZXN0NDI4NjE5OTA2 | 4,799 | [cleanup] consolidate some prune_heads logic | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/4799?src=pr&el=h1) Report\n> Merging [#4799](https://codecov.io/gh/huggingface/transformers/pull/4799?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/56d5d160cdd177ae6e644506535b56e79feccf68&el=desc) will **decrease... | 1,591 | 1,591 | 1,591 | CONTRIBUTOR | null | factors out 5 repetitions of the following logic
```python
def find_pruneable_heads_and_indices(
heads: List, n_heads: int, head_size: int, already_pruned_heads: set
) -> Tuple[set, "torch.LongTensor"]:
mask = torch.ones(n_heads, head_size)
heads = set(heads) - already_pruned_heads # Convert to set ... | {
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https://api.github.com/repos/huggingface/transformers/issues/4798 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/4798/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/4798/comments | https://api.github.com/repos/huggingface/transformers/issues/4798/events | https://github.com/huggingface/transformers/issues/4798 | 631,786,373 | MDU6SXNzdWU2MzE3ODYzNzM= | 4,798 | [ctrl] has broken code for pruning that is not tested | {
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"Yeah change \r\n```python\r\nself.h[layer].attn.prune_heads(heads)\r\n``` \r\nto \r\n```python\r\nself.h[layer].multi_head_attention.prune_heads(heads)\r\n``` \r\nin modeling_ctrl.py\r\n\r\nand set `test_pruning=True` in `CTRLModelTest`",
"@sshleifer \r\nI did the above-mentioned changes however the testing of p... | 1,591 | 1,591 | 1,591 | CONTRIBUTOR | null | references an `attn` parameter than should be `multiheaded_attn`. Easy-ish fix.
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https://api.github.com/repos/huggingface/transformers/issues/4797 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/4797/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/4797/comments | https://api.github.com/repos/huggingface/transformers/issues/4797/events | https://github.com/huggingface/transformers/issues/4797 | 631,780,461 | MDU6SXNzdWU2MzE3ODA0NjE= | 4,797 | Write With Transformer Request: | {
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"This wouldn't change the unit economics of providing this service, but I'm curious, why don't you press tab twice instead?",
"The previous suggestions disappear after I press tab. \r\n\r\nIt is easier to pick an autocompletion that is suitable, the more options I have to compare. ",
"This issue has been automa... | 1,591 | 1,597 | 1,597 | NONE | null | # 🚀 Feature request
I understand if this is unattainable for reason of money, but I was wondering if you could replace three autocomplete suggestions with five. | {
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https://api.github.com/repos/huggingface/transformers/issues/4796 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/4796/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/4796/comments | https://api.github.com/repos/huggingface/transformers/issues/4796/events | https://github.com/huggingface/transformers/pull/4796 | 631,775,506 | MDExOlB1bGxSZXF1ZXN0NDI4NjAwMDA3 | 4,796 | Ignore simlink | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/4796?src=pr&el=h1) Report\n> Merging [#4796](https://codecov.io/gh/huggingface/transformers/pull/4796?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/acaa2e6267ebfda9814795fa00b6ad86c35ea5d6&el=desc) will **increase... | 1,591 | 1,591 | 1,591 | COLLABORATOR | null | Didn't get an answer to my question on #4774 so asking again in the form of a PR ;-)
Currently, building the docs require making a simlink to the examples README (as per the [instructions](https://github.com/huggingface/transformers/tree/master/docs#building-the-documentation)) and that file then becomes untracked b... | {
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https://api.github.com/repos/huggingface/transformers/issues/4795 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/4795/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/4795/comments | https://api.github.com/repos/huggingface/transformers/issues/4795/events | https://github.com/huggingface/transformers/pull/4795 | 631,771,117 | MDExOlB1bGxSZXF1ZXN0NDI4NTk2MzU4 | 4,795 | Explain how to preview the docs in a PR | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/4795?src=pr&el=h1) Report\n> Merging [#4795](https://codecov.io/gh/huggingface/transformers/pull/4795?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/acaa2e6267ebfda9814795fa00b6ad86c35ea5d6&el=desc) will **decrease... | 1,591 | 1,591 | 1,591 | COLLABORATOR | null | As discussed offline, add the instructions to check how to preview the docs. | {
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https://api.github.com/repos/huggingface/transformers/issues/4794 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/4794/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/4794/comments | https://api.github.com/repos/huggingface/transformers/issues/4794/events | https://github.com/huggingface/transformers/pull/4794 | 631,768,615 | MDExOlB1bGxSZXF1ZXN0NDI4NTk0MjA5 | 4,794 | enable multiprocessing in glue dataset | {
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https://api.github.com/repos/huggingface/transformers/issues/4793 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/4793/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/4793/comments | https://api.github.com/repos/huggingface/transformers/issues/4793/events | https://github.com/huggingface/transformers/issues/4793 | 631,760,669 | MDU6SXNzdWU2MzE3NjA2Njk= | 4,793 | 🐛 run_ner.py runtime error linked to TPU training | {
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"Hi! did you solve your issue?"
] | 1,591 | 1,591 | 1,591 | NONE | null | # 🐛 Bug
## Information
Model I am using **Longformer For Token Classification**
Language I am using the model on **German**:
The problem arises when using:
* [x] the official example scripts:
T**he problem arises when trying to run run_ner.py on google colab in TPU fp16 mode.**
The tasks I am work... | {
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https://api.github.com/repos/huggingface/transformers/issues/4792 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/4792/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/4792/comments | https://api.github.com/repos/huggingface/transformers/issues/4792/events | https://github.com/huggingface/transformers/pull/4792 | 631,760,558 | MDExOlB1bGxSZXF1ZXN0NDI4NTg3MjQ1 | 4,792 | Fix argument label | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/4792?src=pr&el=h1) Report\n> Merging [#4792](https://codecov.io/gh/huggingface/transformers/pull/4792?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/acaa2e6267ebfda9814795fa00b6ad86c35ea5d6&el=desc) will **increase... | 1,591 | 1,591 | 1,591 | COLLABORATOR | null | After #4722 the labels are called just `labels` now, not `masked_lm_labels`. The fact it wasn't caught by the tests probably means we have some test missing... | {
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"Hey @patil-suraj :-),\r\n\r\nHmm, not sure we would definitely need that...let's say you have a dict of arguments that you want to parse it into a dataclass like `TrainingArguments`, you could just do \r\n\r\n```python\r\ntraining_args = TrainingArguments(**your_dict)\r\n```\r\n\r\nlike it is done in the Reformer ... | 1,591 | 1,591 | 1,591 | MEMBER | null | This PR adds `parse_dict` method to `HfArgumentParser` to allow parsing arguments from `dict`.
I find this necessary for notebook workflows where I'm not using `Trainer` from command line. Otherwise I need to write arguments to json file and use that path with `parse_json_file` or pass a list of strings to `pars... | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/4790?src=pr&el=h1) Report\n> Merging [#4790](https://codecov.io/gh/huggingface/transformers/pull/4790?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/fa661ce749b0d14ae1999d1b097866248624a842&el=desc) will **increase... | 1,591 | 1,591 | 1,591 | COLLABORATOR | null | Looks like #4747 introduced some bad formatting, fixing so CI is happy again. | {
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https://api.github.com/repos/huggingface/transformers/issues/4789 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/4789/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/4789/comments | https://api.github.com/repos/huggingface/transformers/issues/4789/events | https://github.com/huggingface/transformers/pull/4789 | 631,644,318 | MDExOlB1bGxSZXF1ZXN0NDI4NDkzNDA0 | 4,789 | Add model summary | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/4789?src=pr&el=h1) Report\n> Merging [#4789](https://codecov.io/gh/huggingface/transformers/pull/4789?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/b9109f2de1c4f52967976dc840074a9d62713498&el=desc) will **increase... | 1,591 | 1,591 | 1,591 | COLLABORATOR | null | This PR adds a high-level summary of all the models in the documentation. | {
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https://api.github.com/repos/huggingface/transformers/issues/4788 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/4788/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/4788/comments | https://api.github.com/repos/huggingface/transformers/issues/4788/events | https://github.com/huggingface/transformers/issues/4788 | 631,632,895 | MDU6SXNzdWU2MzE2MzI4OTU= | 4,788 | Onnx conversion for bert models with classification layers | {
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"Might be of interest to @mfuntowicz ",
"I think the issue could be due to pipeline which extracts the model\r\n# Allocate tokenizer and model\r\nreturn pipeline(\"feature-extraction\", model=model, tokenizer=tokenizer, framework=framework)\r\n\r\nSeems like default is 'feature-extraction'\r\nI could get this to ... | 1,591 | 1,597 | 1,597 | NONE | null | Hi,
I am trying to convert a NER model trained with BertForTokenClassification to Onnx format. Am able to convert it using the convert_graph_to_onnx.py script using the following params
convert(framework="pt", model="bert_small_ner", output="bert_small_onnx/bert_small_ner.onnx", opset=11)
There are no errors t... | {
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https://api.github.com/repos/huggingface/transformers/issues/4787 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/4787/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/4787/comments | https://api.github.com/repos/huggingface/transformers/issues/4787/events | https://github.com/huggingface/transformers/issues/4787 | 631,594,992 | MDU6SXNzdWU2MzE1OTQ5OTI= | 4,787 | 🚀 [Feature Request] Add self-contained browsable examples/notebooks in the docs | {
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"Good point! I think we could definitely give more links to the community notebooks and the docs in general to people so that users check the resources first before opening an issue...what are your thoughts on this @sgugger @julien-c @thomwolf ?",
"I agree we could add links to example notebooks in the docs, eith... | 1,591 | 1,597 | 1,597 | MEMBER | null | # 🚀 Feature request
<!-- A clear and concise description of the feature proposal.
Please provide a link to the paper and code in case they exist. -->
## Motivation and feature request
Recently I'm seeing lots of beginner-level issues asking help on how to fine-tune a particular model for a particular task... | {
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https://api.github.com/repos/huggingface/transformers/issues/4786 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/4786/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/4786/comments | https://api.github.com/repos/huggingface/transformers/issues/4786/events | https://github.com/huggingface/transformers/issues/4786 | 631,593,262 | MDU6SXNzdWU2MzE1OTMyNjI= | 4,786 | Usage of Ġ in BPE tokenizer | {
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"@maschasap \r\nAFAIK, you won't need to add `Ġ ` when adding a new token. \r\nAnd you can use the `convert_tokens_to_string` method to convert these tokens to their respective strings.\r\n\r\ntagging @mfuntowicz for more info",
"@patil-suraj thanks for your response! But still why doesn't the tokenizer add `Ġ`... | 1,591 | 1,663 | 1,608 | NONE | null | Hello,
I want to add new words to my BPE tokenizer. I know the symbol Ġ means the end of a new token and the majority of tokens in vocabs of pre-trained tokenizers start with Ġ. Assume I want to add the word **Salah** to my tokenizer. I tried to add both **Salah** token and **ĠSalah**:
`tokenizer.add_tokens(['Salah'... | {
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https://api.github.com/repos/huggingface/transformers/issues/4785 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/4785/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/4785/comments | https://api.github.com/repos/huggingface/transformers/issues/4785/events | https://github.com/huggingface/transformers/issues/4785 | 631,575,399 | MDU6SXNzdWU2MzE1NzUzOTk= | 4,785 | Question Answering Pipeline with big texts. | {
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"Longformer would be a good choice, but it is currently not implemented in the pipelines. This issue might help :-) : https://github.com/huggingface/transformers/issues/4762",
"and #4615",
"This notebook might help :-) \r\nhttps://colab.research.google.com/drive/1m7eTGlPmLRgoPkkA7rkhQdZ9ydpmsdLE?usp=sharing"
] | 1,591 | 1,591 | 1,591 | NONE | null | # ❓ Questions & Help
I am searching for some ideas of how to use QA pipeline with big data texts and get a good time response. (I am already using GPU) | {
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https://api.github.com/repos/huggingface/transformers/issues/4784 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/4784/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/4784/comments | https://api.github.com/repos/huggingface/transformers/issues/4784/events | https://github.com/huggingface/transformers/issues/4784 | 631,458,611 | MDU6SXNzdWU2MzE0NTg2MTE= | 4,784 | Can I train question-answering on TPU using Huggingface | {
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"as you can see in https://github.com/huggingface/transformers/tree/master/examples#the-big-table-of-tasks `question-answering` is not implemented using Trainer, yet – so doesn't have TPU support. \r\n\r\nThis is on our todo-list but might take a few weeks. Feel free to open a PR though – or use TFTrainer is TF is ... | 1,591 | 1,591 | 1,591 | NONE | null | # ❓ Questions & Help
I am trying to run run_squad from question answering on TPU but I get the following error.
## Details
export SQUAD_DIR=/path/to/SQUAD
python examples/xla_spawn.py --num_cores 8 \
run_squad.py \
--model_type bert \
--model_name_or_path bert-base-uncased \
--do_train \
--do_eval \... | {
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https://api.github.com/repos/huggingface/transformers/issues/4783 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/4783/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/4783/comments | https://api.github.com/repos/huggingface/transformers/issues/4783/events | https://github.com/huggingface/transformers/issues/4783 | 631,417,088 | MDU6SXNzdWU2MzE0MTcwODg= | 4,783 | question about tokenizer | {
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"This notebook might help you, it shows how you can train a LM from scratch on a new language.\r\nhttps://github.com/huggingface/blog/blob/master/notebooks/01_how_to_train.ipynb",
"@patil-suraj thanks for your reply. i have read this notebook. but i want to re-use the functions in the transfomers such as function... | 1,591 | 1,597 | 1,597 | NONE | null | hi, is there any difference between initializing BertTokenizer and load it using from_pretrained,
such as:
1、tokenizer = BertTokenizer(bert-base-uncased-vocab)
2、tokenizer = BertTokenizer.from_pretrained('bert-base-uncased')
i want to pretrain for some new language by myself, so i need to create the vocabulary, ... | {
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https://api.github.com/repos/huggingface/transformers/issues/4782 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/4782/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/4782/comments | https://api.github.com/repos/huggingface/transformers/issues/4782/events | https://github.com/huggingface/transformers/issues/4782 | 631,412,439 | MDU6SXNzdWU2MzE0MTI0Mzk= | 4,782 | ❓ How to use Gradient Accumulator in TF_Trainer ? | {
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"Hello!\r\n\r\nThe usage of the gradient accumulator is fully integrated since the beginning in the TF Trainer, the default value of accumulation is 1, if you want to change it you have to fill the `--gradient_accumulation_steps` parameter.",
"That's awesome ! Thank you very much for your answer"
] | 1,591 | 1,591 | 1,591 | CONTRIBUTOR | null | # ❓ Questions & Help
According to the documentation of Gradient Accumulator :
> the accumulator should be called in a
replica context. Gradients will be accumulated locally on each replica and
without synchronization. Users should then call ``.gradients``, scale the
gradients if required, and pass the re... | {
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https://api.github.com/repos/huggingface/transformers/issues/4781 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/4781/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/4781/comments | https://api.github.com/repos/huggingface/transformers/issues/4781/events | https://github.com/huggingface/transformers/issues/4781 | 631,375,493 | MDU6SXNzdWU2MzEzNzU0OTM= | 4,781 | Regarding generate method used in BART | {
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"Hey @kunalpagarey, \r\n\r\nThe `.generate()` method cannot be used for training. It can be used for validation and testing. \r\nTo create a good model for summarization the following components are important:\r\n\r\n**Train**:\r\n1. What model do you want to use? => Bart for example\r\n2. What loss function do you... | 1,591 | 1,591 | 1,591 | NONE | null | # ❓ Questions & Help
<!-- The GitHub issue tracker is primarily intended for bugs, feature requests,
new models and benchmarks, and migration questions. For all other questions,
we direct you to Stack Overflow (SO) where a whole community of PyTorch and
Tensorflow enthusiasts can help you out. Make... | {
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"Hey @h324yang, \r\n\r\nGood observation! The reason for this is that Reformer uses Reversible Residual Layers and thus always has two input streams (two hidden states inputs) instead of one. Both of these streams have to be concatenated after running through the model which leads to double the size of `hidden_stat... | 1,591 | 1,591 | 1,591 | 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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https://api.github.com/repos/huggingface/transformers/issues/4779 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/4779/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/4779/comments | https://api.github.com/repos/huggingface/transformers/issues/4779/events | https://github.com/huggingface/transformers/issues/4779 | 631,242,893 | MDU6SXNzdWU2MzEyNDI4OTM= | 4,779 | 🐛 [BART] Pipeline OOM | {
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"@sshleifer Can you reproduce on your side or is it just me ?",
"Yes I can replicate, sorry for the slow response. I am still trying to figure out why this is happening.",
"OK I figured out the problem\r\nLong articles are not getting truncated anymore by pipeline.\r\nWill have a look.\r\nIf you look at the sec... | 1,591 | 1,598 | 1,598 | CONTRIBUTOR | null | # 🐛 Bug
I try to run BART model myself versus running the model through `pipeline`.
Running the BART model myself is fine, but I have OOM on my GPU if I try to run the same model through pipeline.
Please see the following code : https://gist.github.com/Colanim/4fae6ab52c05716062a0f20c4a6b9737
_(It assume y... | {
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https://api.github.com/repos/huggingface/transformers/issues/4778 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/4778/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/4778/comments | https://api.github.com/repos/huggingface/transformers/issues/4778/events | https://github.com/huggingface/transformers/pull/4778 | 631,220,395 | MDExOlB1bGxSZXF1ZXN0NDI4MTUwMzc2 | 4,778 | Updated path "cd examples/text-generation/pplm" | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/4778?src=pr&el=h1) Report\n> Merging [#4778](https://codecov.io/gh/huggingface/transformers/pull/4778?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/f9414f7553d3f1872b372990ef03205c0d1141df&el=desc) will **increase... | 1,591 | 1,591 | 1,591 | CONTRIBUTOR | null | https://github.com/huggingface/transformers/issues/4776 | {
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https://api.github.com/repos/huggingface/transformers/issues/4777 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/4777/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/4777/comments | https://api.github.com/repos/huggingface/transformers/issues/4777/events | https://github.com/huggingface/transformers/issues/4777 | 631,199,208 | MDU6SXNzdWU2MzExOTkyMDg= | 4,777 | The purpose of files merges.txt, special_tokens_map.json, training_args.bin and add_tokens.json | {
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"Hi. \r\n\r\nYou will get an explanation about `merges.txt` in this [post](https://github.com/huggingface/transformers/issues/1083#issuecomment-524303077).",
"@piegu , thanks for you answer! I have already read this post, though still did not quite understand, does it contain all the possible tokens? If so, what ... | 1,591 | 1,680 | 1,598 | CONTRIBUTOR | null | Good evening!
After I have my RoBERTa model pre-trained, I get the list of the following files:
`merges.txt`, `special_tokens_map.json`, `training_args.bin`. I have also seen if you add extra tokens to the tokenizer, the file `add_tokens.json` appears. Could I ask to clarify the meaning of the first three files - h... | {
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"Thanks for the report – care to open a PR?",
"Done\r\nhttps://github.com/huggingface/transformers/pull/4778\r\n\r\nI hope it is done well."
] | 1,591 | 1,591 | 1,591 | CONTRIBUTOR | null | # 🐛 Bug
On https://github.com/huggingface/transformers/tree/master/examples/text-generation/pplm#setup
It says
```
git clone https://github.com/huggingface/transformers && cd transformers
pip install .
pip install nltk torchtext # additional requirements.
cd examples/pplm
```
and as you can guess ... | {
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https://api.github.com/repos/huggingface/transformers/issues/4775 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/4775/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/4775/comments | https://api.github.com/repos/huggingface/transformers/issues/4775/events | https://github.com/huggingface/transformers/pull/4775 | 631,157,949 | MDExOlB1bGxSZXF1ZXN0NDI4MDk5MzYy | 4,775 | Create model card for tblard/allocine | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/4775?src=pr&el=h1) Report\n> Merging [#4775](https://codecov.io/gh/huggingface/transformers/pull/4775?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/17a88d31925a9308e4d7275420033f07a20cd680&el=desc) will **increase... | 1,591 | 1,591 | 1,591 | CONTRIBUTOR | null | Model card for: https://huggingface.co/tblard/tf-allocine
This is a french sentiment analysis model, trained from camembert-base, finetuned on Allociné.fr data.
Original repo: https://github.com/TheophileBlard/french-sentiment-analysis-with-bert | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/4774?src=pr&el=h1) Report\n> Merging [#4774](https://codecov.io/gh/huggingface/transformers/pull/4774?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/cd4e07a85e6161111016ca6d811d97e59368971a&el=desc) will **increase... | 1,591 | 1,591 | 1,591 | COLLABORATOR | null | My VS code writes stuff there so added it to the .gitignore.
I also have other untracked files:
- in tests/fixtures/ I have some cached_lm_\*Tokenizer_\*.txt and .txt.lock after running the tests
- in docs/ I have the simlink to examples.md as indicated in [here](https://github.com/huggingface/transformers/tree/ma... | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/4773?src=pr&el=h1) Report\n> Merging [#4773](https://codecov.io/gh/huggingface/transformers/pull/4773?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/cd4e07a85e6161111016ca6d811d97e59368971a&el=desc) will **increase... | 1,591 | 1,591 | 1,591 | COLLABORATOR | null | When using the `encode` method of a fast tokenizer, we end up here and accessing `pad_token_id` may log an error even when no padding is done. This PR corrects that.
This fixes #4764 .
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/4772?src=pr&el=h1) Report\n> Merging [#4772](https://codecov.io/gh/huggingface/transformers/pull/4772?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/5856999a9f2926923f037ecd8d27b8058bcf9dae&el=desc) will **decrease... | 1,591 | 1,591 | 1,591 | CONTRIBUTOR | null | Fix the issue where the `__getattr__` method in `BatchEncoding` was raising a `KeyError` instead of an `AttributeError` when the attribute was accessed with `getattr()`.
Example:
```
from transformers import BertTokenizer
tokenizer = BertTokenizer.from_pretrained("bert-base-cased")
features = tokenizer.encode_pl... | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/4770?src=pr&el=h1) Report\n> Merging [#4770](https://codecov.io/gh/huggingface/transformers/pull/4770?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/e645b9ab9407e1c1b2c168317dc79fe13fc6e0b4&el=desc) will **decrease... | 1,591 | 1,591 | 1,591 | COLLABORATOR | null | Just make it explicit that doc generation is only for local inspection. | {
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"Hi, as a quick note, all the instructions you've shown could be resumed in the simpler `BertForSequenceClassification.from_pretrained`.\r\n\r\nWhich checkpoint are you trying to load? How did you obtain it?",
"Hi, thanks for the tip.\r\n\r\nThe checkpoint is from an own finetuned model. But would that matter? I ... | 1,591 | 1,591 | 1,591 | NONE | null | # 🐛 Bug
## Information
Model I am using (Bert, XLNet ...): Bert
Language I am using the model on (English, Chinese ...): German
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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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/4768?src=pr&el=h1) Report\n> Merging [#4768](https://codecov.io/gh/huggingface/transformers/pull/4768?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/2b8b6c929e282958a920ba2aa26ee59106986ec3&el=desc) will **increase... | 1,591 | 1,591 | 1,591 | MEMBER | null | Setup codecov | {
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https://api.github.com/repos/huggingface/transformers/issues/4767 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/4767/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/4767/comments | https://api.github.com/repos/huggingface/transformers/issues/4767/events | https://github.com/huggingface/transformers/issues/4767 | 630,917,597 | MDU6SXNzdWU2MzA5MTc1OTc= | 4,767 | Model is running on special characters and word pieces for token classification | {
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"Hi @andrster , it's not clear what you mean here. Can you please provide more explanation",
"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"
] | 1,591 | 1,597 | 1,597 | NONE | null | ['last', 'completed', 'interactions', 'on', 'wed', '##nes', '##day']
and it will return for 9 labels, but should really on return 5 | {
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"Could you please provide some possible areas to look at ? I can look at it and send a PR.",
"@sgugger @julien-c Thank you for the [PR](https://github.com/huggingface/transformers/issues/4742). There is a problem associated with this PR, that is, if you run `python3 evaluate_heur_output.py /path_to_hans_predictio... | 1,591 | 1,597 | 1,597 | CONTRIBUTOR | null | # 🐛 Bug
## Information
Model I am using (Bert, XLNet ...): Albert, Bert
Language I am using the model on (English, Chinese ...): GLUE (MNLI), HANS
The problem arises when using:
* [x] the official example scripts: (give details below)
* [ ] my own modified scripts: (give details below)
The tasks I am ... | {
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https://api.github.com/repos/huggingface/transformers/issues/4765 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/4765/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/4765/comments | https://api.github.com/repos/huggingface/transformers/issues/4765/events | https://github.com/huggingface/transformers/issues/4765 | 630,849,167 | MDU6SXNzdWU2MzA4NDkxNjc= | 4,765 | Cannot load pretrained model from repo. | {
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"Hello @jordaniac89 I just tried this, and it worked. Can you try this again ?",
"Yeah, nothing. My assumption was that from_pretrained() should reach out to s3 and download the model if it can't find it?",
"Figured it out. Just an fyi that `pip install transformers` installs v. 2.2.0. I needed to specify 2.5.... | 1,591 | 1,591 | 1,591 | NONE | null | Hi, I'm trying to load a model from the repository:
```
tokenizer = AutoTokenizer.from_pretrained("NeuML/bert-small-cord19-squad2")
model = AutoModelForQuestionAnswering.from_pretrained("NeuML/bert-small-cord19-squad2")
```
but I'm receiving the error:
`OSError: Model name 'NeuML/bert-small-cord19-squad2' was n... | {
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https://api.github.com/repos/huggingface/transformers/issues/4764 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/4764/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/4764/comments | https://api.github.com/repos/huggingface/transformers/issues/4764/events | https://github.com/huggingface/transformers/issues/4764 | 630,789,576 | MDU6SXNzdWU2MzA3ODk1NzY= | 4,764 | GPT2TokenizerFast raises pad_token error even if not used | {
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"I can reproduce and think I've found the cause, working on this."
] | 1,591 | 1,591 | 1,591 | CONTRIBUTOR | null | # 🐛 Bug
## Information
Model: GPT2
Language: English
Encoding with the `GPT2TokenizerFast` causes a `pad_token` error to be sent to stderr, despite not attempting to access that property.
## To reproduce
```import transformers
from transformers import GPT2TokenizerFast
tokenizer = GPT2TokenizerFa... | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/4763?src=pr&el=h1) Report\n> Merging [#4763](https://codecov.io/gh/huggingface/transformers/pull/4763?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/5bf9afbf351f9419505eb1c9e0c5ab78883c3caf&el=desc) will **decrease... | 1,591 | 1,591 | 1,591 | CONTRIBUTOR | null | {
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https://api.github.com/repos/huggingface/transformers/issues/4762 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/4762/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/4762/comments | https://api.github.com/repos/huggingface/transformers/issues/4762/events | https://github.com/huggingface/transformers/issues/4762 | 630,738,469 | MDU6SXNzdWU2MzA3Mzg0Njk= | 4,762 | KeyError in Pipeline Question Answering with LongFormer | {
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"It seems that I have the same (or at least very similar) issue but using `ner` pipeline.\r\nMy model is a fine-tuned RoBERTa (`xlm-roberta-base`).\r\nI can produce different predictions with different inputs, but all are way outside the range of the actual label IDs.\r\n\r\nThe error shows where the predicted labe... | 1,591 | 1,597 | 1,597 | NONE | null | I'm trying to do QA with LongFormer in a Pipeline. First of all, I generate the pipeline:
`
MODEL_STR = "mrm8488/longformer-base-4096-finetuned-squadv2"
tokenizer = AutoTokenizer.from_pretrained(MODEL_STR)
model = AutoModelForQuestionAnswering.from_pretrained(MODEL_STR)
QA = pipeline('question-answering', model=mo... | {
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"Hello @Aktsvigun \r\nTo run the examples you'll need to clone the transformer repo. All examples can be found in examples directory. You can find `run_lm_finetuning` here.\r\nrun_language_modeling.py\r\nhttps://github.com/huggingface/transformers/blob/master/examples/language-modeling/run_language_modeling.py",
... | 1,591 | 1,591 | 1,591 | CONTRIBUTOR | null | Good afternoon,
I'm trying to fine-tune RoBERTa on my own dataset, following the instruction provided here [https://huggingface.co/transformers/v1.2.0/examples.html](url). However, I cannot find the file `run_lm_finetuning.py` - could you please clarify, is the instruction valid or the file has really been deleted? Th... | {
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https://api.github.com/repos/huggingface/transformers/issues/4759 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/4759/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/4759/comments | https://api.github.com/repos/huggingface/transformers/issues/4759/events | https://github.com/huggingface/transformers/pull/4759 | 630,717,276 | MDExOlB1bGxSZXF1ZXN0NDI3NzUxMDg2 | 4,759 | Fix resize_token_embeddings for Transformer-XL | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/4759?src=pr&el=h1) Report\n> Merging [#4759](https://codecov.io/gh/huggingface/transformers/pull/4759?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/5bf9afbf351f9419505eb1c9e0c5ab78883c3caf&el=desc) will **decrease... | 1,591 | 1,593 | 1,591 | CONTRIBUTOR | null | Fixes #3554
As discussed in the issue above, the fix ensures that per default the last layer of the `AdaptiveEmbedding` is resized. Otherwise the target layer can be passed to the `resize_token_embeddings()` method as the parameter `layer`.
After the resizing is done, the cutoffs are adjusted accordingly. | {
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https://api.github.com/repos/huggingface/transformers/issues/4758 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/4758/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/4758/comments | https://api.github.com/repos/huggingface/transformers/issues/4758/events | https://github.com/huggingface/transformers/issues/4758 | 630,697,907 | MDU6SXNzdWU2MzA2OTc5MDc= | 4,758 | run_tf_ner.py output_dir/saved_model empty | {
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"I got my answers here: https://github.com/huggingface/transformers/issues/3246\r\nso I am closing this issue."
] | 1,591 | 1,591 | 1,591 | NONE | null | # ❓ Questions & Help
https://github.com/huggingface/transformers/tree/master/examples/token-classification
I followed the example here and saw the logging message:
` Saving model in model/saved_model`
Then I went to the folder saved_model and found it is empty.
Is this expected?
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https://api.github.com/repos/huggingface/transformers/issues/4757 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/4757/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/4757/comments | https://api.github.com/repos/huggingface/transformers/issues/4757/events | https://github.com/huggingface/transformers/pull/4757 | 630,522,943 | MDExOlB1bGxSZXF1ZXN0NDI3NTk4MTc4 | 4,757 | Add drop_last arg for data loader | {
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"Hi! This looks like a cool feature to add, indeed. I'm curious, what was the error you obtained because of an incomplete batch? It shouldn't raise an error if a batch is smaller than what it has previously seen.\r\n\r\nI could see it being useful when the framework needs to trace with a given input size though, li... | 1,591 | 1,591 | 1,591 | CONTRIBUTOR | null | Add an extra argument to `TrainingArguments` that would be passed on to `Trainer` for use in DataLoader.
I ran into a problem while using the `Trainer` this week and the GPU expecting the full batch size of vector inputs, and put a workaround in place in the dataset class I was using, but would be useful to have thi... | {
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https://api.github.com/repos/huggingface/transformers/issues/4756 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/4756/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/4756/comments | https://api.github.com/repos/huggingface/transformers/issues/4756/events | https://github.com/huggingface/transformers/pull/4756 | 630,443,053 | MDExOlB1bGxSZXF1ZXN0NDI3NTM3Mzcx | 4,756 | [WIP] feat(wandb): add logging to TFTrainer | {
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"Note that there are still a few differences.\r\n\r\nFor example `TFTrainer` uses `args.eval_steps`.\r\nIt could make sense to refactor training args so both classes share the same ones when possible.",
"Here is an example run with `TFTrainer` on MRPC.\r\n\r\n to be 3 instead OR not write the extra sep tag since it's single sequence tagging.\r\n\r\nI'm guessing the second option is more appropriate because the code that adds the extra sep tag is in utils_ner.p... | 1,591 | 1,592 | 1,592 | NONE | null | # 🐛 Bug
## Information
I'm running `examples/token-classification/run_ner.py` with RoBERTa. An assert statement fails:
```
assert len(input_ids) == max_seq_length
AssertionError
```
Looks like the cause is a mismatch between the value of roberta's `tokenizer.num_special_tokens_to_add()` and the number o... | {
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https://api.github.com/repos/huggingface/transformers/issues/4754 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/4754/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/4754/comments | https://api.github.com/repos/huggingface/transformers/issues/4754/events | https://github.com/huggingface/transformers/issues/4754 | 630,416,550 | MDU6SXNzdWU2MzA0MTY1NTA= | 4,754 | bart-large-cnn model weights updated? | {
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"Hello! The weights have not been updated. The path has been changed in the last version, as you can see in the [release notes](https://github.com/huggingface/transformers/releases/tag/v2.11.0) (cc @julien-c), but no change was done to these weights.\r\n"
] | 1,591 | 1,591 | 1,591 | NONE | null | Hi,
Today, I noticed that the bart model path has been changed to 'facebook/bart-large-cnn' rather than 'bart-large-cnn'. And I run the demo below, but the result changed since then. (seems worse)
https://colab.research.google.com/drive/11hKBPfsfBXPKo-dK_gHsPklF4PcNflQZ#scrollTo=dyTJ_ZavDp1q
So, is that weigh... | {
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https://api.github.com/repos/huggingface/transformers/issues/4753 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/4753/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/4753/comments | https://api.github.com/repos/huggingface/transformers/issues/4753/events | https://github.com/huggingface/transformers/issues/4753 | 630,401,864 | MDU6SXNzdWU2MzA0MDE4NjQ= | 4,753 | Can I use TorchText Iterator output as the input_ids for Hugging Face Transformer? | {
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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"
] | 1,591 | 1,597 | 1,597 | NONE | null | Hello,
For a given text, `TorchText` iterator, such as the `BPTTIterator`, returns the string of the text after each token is converted to their respective integer ID.
So for example, if the integer ids are assigned as the following manner:
"I" = 53, "like"=753, "dogs" = 2
Then for the string "I like dogs", a... | {
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https://api.github.com/repos/huggingface/transformers/issues/4752 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/4752/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/4752/comments | https://api.github.com/repos/huggingface/transformers/issues/4752/events | https://github.com/huggingface/transformers/issues/4752 | 630,350,336 | MDU6SXNzdWU2MzAzNTAzMzY= | 4,752 | Batching not speeding up Transformer-XL | {
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"Hey! I've also observed this with the CMU Transformer-XL codebase. The main difference with other Transformers is the adaptive softmax, so that's the first I'd look at; does an XL model with a normal projection layer also have problems with batching ?\r\n\r\nI was actually planning to investigate a suspected bug i... | 1,591 | 1,593 | 1,593 | CONTRIBUTOR | null | I have modified the example `[run_generation.py](https://github.com/huggingface/transformers/blob/master/examples/text-generation/run_generation.py)` so that it can use batches. My code (pared down for the example) is below, called `batch_gen.py`:
```
#!/usr/bin/env python3
# coding=utf-8
import argparse
impor... | {
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https://api.github.com/repos/huggingface/transformers/issues/4751 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/4751/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/4751/comments | https://api.github.com/repos/huggingface/transformers/issues/4751/events | https://github.com/huggingface/transformers/pull/4751 | 630,305,514 | MDExOlB1bGxSZXF1ZXN0NDI3NDM2NzI2 | 4,751 | Update encode documentation | {
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https://api.github.com/repos/huggingface/transformers/issues/4750 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/4750/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/4750/comments | https://api.github.com/repos/huggingface/transformers/issues/4750/events | https://github.com/huggingface/transformers/issues/4750 | 630,291,101 | MDU6SXNzdWU2MzAyOTExMDE= | 4,750 | Tokenizer.encode documentation not correct | {
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"You're right! The documentation should be updated.",
"Done! Thanks for raising an issue :)",
"You are welcome. Thank you for the transformers package -- great work!",
"Hi, I was checking the documentation page however, could not find the documentation for encode and encode_plus. \r\n\r\n[Documentation Link](... | 1,591 | 1,598 | 1,591 | NONE | null | # 🐛 Bug
## Information
Model I am using Bert (bert-base-german-cased):
Language I am using the model on German:
The problem arises when using:
* tokenizer of this model
The tasks I am working on is:
* encoding
## To reproduce
Steps to reproduce the behavior:
1. lang_model = 'bert-base-german-... | {
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https://api.github.com/repos/huggingface/transformers/issues/4749 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/4749/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/4749/comments | https://api.github.com/repos/huggingface/transformers/issues/4749/events | https://github.com/huggingface/transformers/issues/4749 | 630,283,884 | MDU6SXNzdWU2MzAyODM4ODQ= | 4,749 | Hugging Face GPT-2 Tokenizer | {
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"You would need to fine-tune your GPT-2 model on a dataset containing the word, yes. The reason being that your model needs to understand in which context is the word used, what it means, etc.",
"Hello,\r\n\r\nThank you for your reply.\r\nSo I have a set of multiple choice questions, and when I use the `add_token... | 1,591 | 1,591 | 1,591 | NONE | null | Hello,
I know that if I choose to add any new "special token" onto the pre-made GPT-2 tokenizer, and if I want to use the pre-trained GPT-2 model for my analysis, I will need to re-train the pre-trained GPT-2 to make the model learn that new special token.
But what if I just add an extra non-special token? for ex... | {
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"Hi! Thanks for the detailed report. Indeed, it would be nice to keep the performance high, especially if it's due to something annex than pure inference. I'm looking into it.",
"Great, thank you for the quick response!",
"After looking into it, it seems that the threading is only part of the problem. Removing... | 1,591 | 1,607 | 1,602 | CONTRIBUTOR | null | This is my first issue posted here, so first off thank you for building this library, it's really pushing NLP forward.
The current [QuestionAnsweringPipeline](https://github.com/huggingface/transformers/blob/master/src/transformers/pipelines.py#L1187) relies on the method [squad_convert_examples_to_features](https:/... | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/4747?src=pr&el=h1) Report\n> Merging [#4747](https://codecov.io/gh/huggingface/transformers/pull/4747?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/ed4df85572924871758ca32133b46116121c706f&el=desc) will **increase... | 1,591 | 1,591 | 1,591 | MEMBER | null | closes #4696 | {
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https://api.github.com/repos/huggingface/transformers/issues/4746 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/4746/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/4746/comments | https://api.github.com/repos/huggingface/transformers/issues/4746/events | https://github.com/huggingface/transformers/issues/4746 | 630,149,228 | MDU6SXNzdWU2MzAxNDkyMjg= | 4,746 | Why I can't generate phrases in batches if I include an attention mask? (GPT2) | {
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"Probably of interest to @patrickvonplaten ",
"Hi @Barbara931120,\r\n\r\nBatch generation is sadly currently not implemented in the `.generate()` method. Also, see https://github.com/huggingface/transformers/issues/3021 for reasons why. It's on our roadmap to implement this functionality soon :-) "
] | 1,591 | 1,591 | 1,591 | NONE | null | Assuming these are my input phrases and model:
```
from transformers import GPT2LMHeadModel, GPT2Tokenizer
import torch
model = GPT2LMHeadModel.from_pretrained('gpt2')
tokenizer = GPT2Tokenizer.from_pretrained('gpt2', pad_token='<PAD>')
prompt_text = [
"are there any good coaching institutes for civil ... | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/4745?src=pr&el=h1) Report\n> Merging [#4745](https://codecov.io/gh/huggingface/transformers/pull/4745?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/47a551d17b6ed2eaf03301f049006d559fca5cf3&el=desc) will **increase... | 1,591 | 1,591 | 1,591 | MEMBER | null | This PR fixes https://github.com/huggingface/transformers/issues/4121 . When comparing int `!=` should be used here instead of `is not`. | {
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"Hello @andrster \r\nWhich model are you trying ? for ex, for QA, token classification, sentence classification etc.\r\nPlease elaborate more. ",
"Sorry, token classification ",
"@andrster have you checked out the pipelines section of the README?",
"doesn't have one on NER",
"@andrster \r\nner pipeline is ... | 1,591 | 1,597 | 1,597 | NONE | null | I have a bert model finetuned for pytorch and have trouble actually using it. Like how can I get to model("<some sentance>") outputting results for the tokens? | {
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https://api.github.com/repos/huggingface/transformers/issues/4743 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/4743/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/4743/comments | https://api.github.com/repos/huggingface/transformers/issues/4743/events | https://github.com/huggingface/transformers/pull/4743 | 630,085,645 | MDExOlB1bGxSZXF1ZXN0NDI3MjczODUz | 4,743 | Create README.md | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/4743?src=pr&el=h1) Report\n> Merging [#4743](https://codecov.io/gh/huggingface/transformers/pull/4743?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/1b5820a56540a2096daeb43a0cd8247c8c94a719&el=desc) will **increase... | 1,591 | 1,591 | 1,591 | CONTRIBUTOR | null | Main issue is to refer to the fairseq website. | {
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https://api.github.com/repos/huggingface/transformers/issues/4742 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/4742/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/4742/comments | https://api.github.com/repos/huggingface/transformers/issues/4742/events | https://github.com/huggingface/transformers/issues/4742 | 630,077,647 | MDU6SXNzdWU2MzAwNzc2NDc= | 4,742 | Perform evaluation on HANS with Trainer (like GLUE example) | {
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"Maybe @sgugger would be interested in taking a look at this",
"There is an evaluation issue that I faced with HANS evaluation. Issue [here](https://github.com/huggingface/transformers/issues/4766). I tried to run in the exact same manner as listed in `examples/adversarial`. But the results obtained seem skewed f... | 1,591 | 1,592 | 1,592 | CONTRIBUTOR | null | Current [HANS](https://github.com/huggingface/transformers/tree/master/examples/adversarial) evaluation implementation is carried out in the old way. It'd be good to do it in the same manner as other examples are implemented now with the Trainer class.
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"Hello !\r\n\r\nThanks a lot for this PR!! Can you rebase on master and push force in order to be able to review :)",
"Hi,\r\n\r\nI've rebased on master. Are you able to review the PR like this?",
"Hello! Thanks a lot for your contribution, unfortunately we've decided to move on with https://github.com/huggingf... | 1,591 | 1,592 | 1,592 | NONE | null | As mentioned in [this issue](https://github.com/huggingface/transformers/issues/1838) transformers currently does not support resizing token embeddings with TensorFlow. I have implemented this functionality for ALBERT, BERT, DistilBERT, and GPT2.
**Note**
All of the respective TF[...]MainLayer[s] inherit from a uti... | {
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https://api.github.com/repos/huggingface/transformers/issues/4740 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/4740/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/4740/comments | https://api.github.com/repos/huggingface/transformers/issues/4740/events | https://github.com/huggingface/transformers/issues/4740 | 629,983,164 | MDU6SXNzdWU2Mjk5ODMxNjQ= | 4,740 | Can't find config.json | {
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"Hi @mustafameruyert, please poste a codesnippet so that we can reproduce the error",
"> Hi @mustafameruyert, please poste a codesnippet so that we can reproduce the error\r\n\r\n \r\nI was following the latest changes to transformers but I still don't understand how to contin... | 1,591 | 1,605 | 1,594 | CONTRIBUTOR | null | # 🚀 Feature request
The run_language_modeling.py script in examples/language-modeling/ currently works for BERT, RoBERTa, GPT and related models. It would be helpful if it also allowed XLNet. I believe this would involve writing functions to generate `perm_mask`, `target_mapping` and `labels` for the inputs sequenc... | {
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https://api.github.com/repos/huggingface/transformers/issues/4738 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/4738/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/4738/comments | https://api.github.com/repos/huggingface/transformers/issues/4738/events | https://github.com/huggingface/transformers/issues/4738 | 629,962,508 | MDU6SXNzdWU2Mjk5NjI1MDg= | 4,738 | Question Answering Modeling through Hugging Face Models | {
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"How long is your document, you may wanna try longformer model which can handle sequences upto 4096 tokens. Here's a longformer model trained for QA https://huggingface.co/valhalla/longformer-base-4096-finetuned-squadv1\r\n\r\nAlso, take a loot at this https://github.com/deepset-ai/haystack. This might help you a ... | 1,591 | 1,591 | 1,591 | 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 Stack Overflow (SO) where a whole community of PyTorch and
Tensorflow enthusiast can help you out. Make s... | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/4737?src=pr&el=h1) Report\n> Merging [#4737](https://codecov.io/gh/huggingface/transformers/pull/4737?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/3e5928c57d57db3071638e6beaec9349a75b6a22&el=desc) will **not chan... | 1,591 | 1,591 | 1,591 | CONTRIBUTOR | null | {
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https://api.github.com/repos/huggingface/transformers/issues/4736 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/4736/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/4736/comments | https://api.github.com/repos/huggingface/transformers/issues/4736/events | https://github.com/huggingface/transformers/issues/4736 | 629,845,422 | MDU6SXNzdWU2Mjk4NDU0MjI= | 4,736 | BertModel Inputs | {
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"Can you please link the example you mean? :-) ",
"Hi , \r\n\r\nIn the example code below; I have highlighted the inputs** being provided to the model i.e. ids , attention_mask and token_type_ids.\r\n\r\nIf I add start_positions and end_positions as inputs here - I get an error saying unknown inputs : start_posit... | 1,591 | 1,591 | 1,591 | NONE | null | # ❓ Questions & Help
Hi,
I have been using BertModel for Question and Answering . In examples - I see there are no start_position , end_position being provided to the Model .
How is the Model able to train in this case using Input_ids , Mask and Attention Head ?
Might be a naive question , but I have dig in... | {
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https://api.github.com/repos/huggingface/transformers/issues/4735 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/4735/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/4735/comments | https://api.github.com/repos/huggingface/transformers/issues/4735/events | https://github.com/huggingface/transformers/issues/4735 | 629,780,457 | MDU6SXNzdWU2Mjk3ODA0NTc= | 4,735 | Bart model for textinfilling | {
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"it is a hack to make `MarianMTModel`, which inherits from Bart work. For the Bart models that parameter does nothing, as you suggest. You can remove or ignore.",
"Thanks got it"
] | 1,591 | 1,591 | 1,591 | CONTRIBUTOR | null | # ❓ Questions & Help
## Details
<!-- Description of your issue -->
@sshleifer
I was wandering why you used a registered_buffer to define the ``final_logits_bias`` in the BartForConditionalGeneration. In my understanding a registered_buffer would have not gradient so if I fine-tune the a Bart model for generation ... | {
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https://api.github.com/repos/huggingface/transformers/issues/4734 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/4734/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/4734/comments | https://api.github.com/repos/huggingface/transformers/issues/4734/events | https://github.com/huggingface/transformers/issues/4734 | 629,705,895 | MDU6SXNzdWU2Mjk3MDU4OTU= | 4,734 | TFTrainer: Checkpoints not getting saved in `output_dir` but in {cwd}/checkpoint | {
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"Pinging @jplu as it might be of interest.",
"@0dust This is the intent behavior :)\r\n\r\nA solution would be to add a parameter to the arguments to select the checkpoint folder location you want",
"@jplu Sorry if i am missing something but isn't 'output_dir' the folder to save the checkpoint?\r\nhttps://githu... | 1,591 | 1,591 | 1,591 | NONE | null | I am using TFTrainer for the SQuAD task.
Checkpoints are being created in cwd/checkpoint insted of output_dir.
**Potential Cause:**
https://github.com/huggingface/transformers/blob/9ca485734aea269961d63a040ff194365d151fd1/src/transformers/trainer_tf.py#L156
Instead of PREFIX_CHECKPOINT_DIR we need to have
```pyt... | {
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https://api.github.com/repos/huggingface/transformers/issues/4733 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/4733/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/4733/comments | https://api.github.com/repos/huggingface/transformers/issues/4733/events | https://github.com/huggingface/transformers/issues/4733 | 629,667,510 | MDU6SXNzdWU2Mjk2Njc1MTA= | 4,733 | When I use TFBertEncoder in my laptop, I get an error.I can not build a model. Here is a simple examples. | {
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"I also meet this problem? Do you solve it? @shange1996 ",
"> I also meet this problem? Do you solve it? @shange1996\r\n\r\nNo. The problem bothers me.",
"Me too. When I change use keras not tf.keras, it has another problem...",
"It bothers me, too.",
"> It bothers me, too.\r\n\r\nNow I solve it. NOT import... | 1,591 | 1,592 | 1,592 | NONE | null | # 🐛 Bug
## Information
Model I am using TFBertEncoder:
Language I am using the model on English:
The problem arises when using:
* [ ] my own modified scripts: (give details below)
The tasks I am working on is:
* [ ] my own task or dataset: (give details below)
## To reproduce
Steps to reproduce ... | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/4732?src=pr&el=h1) Report\n> Merging [#4732](https://codecov.io/gh/huggingface/transformers/pull/4732?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/9ca485734aea269961d63a040ff194365d151fd1&el=desc) will **increase... | 1,591 | 1,591 | 1,591 | CONTRIBUTOR | null | Hi @patrickvonplaten, Adding 3 documented notebooks to fine tune transformers to downstream NLP tasks with PyTorch:
- Multi-class classification: Using DistilBert
- Multi-label classification: Using Bert
- Summarization: Using T5 - **Model Tracking with WandB**
These notebooks are pulled from the git repo: http... | {
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"That's a really cool feature. Looking forward to it!",
"Is the bucketization size not going to be too linear? Shouldn't we rather do `pad_to_next_power_of_two` or similar?",
"@julien-c That will be linear yet, by using a `power_of` growth we might rapidly increase the number of padding tokens to add and then f... | 1,591 | 1,651 | 1,592 | MEMBER | null | Needs new release of tokenizers (cc @n1t0) | {
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"Also see: https://github.com/huggingface/transformers/issues/3021",
"This is known to not work at the moment with `generate()`. I have to think a bit about the cleanest way to implement it :-) Code suggestions are very welcome! \r\n\r\n",
"Very interested in this! Came here from #3021 (many hours after wonderi... | 1,591 | 1,602 | 1,602 | NONE | null | # 🚀 Feature request
Support batched conditional generation from GPT-2
## Motivation
Currently the [method](https://github.com/huggingface/transformers/blob/9ca485734aea269961d63a040ff194365d151fd1/src/transformers/modeling_utils.py#L802) to generate text from GPT-2 conditioned on an input sequence only suppo... | {
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Using multiple GPUs in PyTorch (with DistrubutedDataParallel) speeds up performance drastically. To get even more speed out of it, the example scripts often - if not always - allow the use of apex for automatic mixed precision. This is great. However, so... | {
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https://api.github.com/repos/huggingface/transformers/issues/4727 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/4727/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/4727/comments | https://api.github.com/repos/huggingface/transformers/issues/4727/events | https://github.com/huggingface/transformers/issues/4727 | 629,421,628 | MDU6SXNzdWU2Mjk0MjE2Mjg= | 4,727 | Albert pretraining loss not decreasing | {
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"Not certain, but looks like maybe nvidia apex was not installed correctly?\r\n\r\n\"was: ModuleNotFoundError(\"No module named 'amp_C'\",)\"",
"thats warning. \r\nHave followed `pip install -v --no-cache-dir ./` for apex installation. \r\nChanging LR to 5e-5 reducing the loss.",
"@008karan, setting the loss to... | 1,591 | 1,597 | 1,597 | NONE | null |
I am training Albert from scratch using run_language_modeling.py.
Doing training on 8 V100.p3dn8x.
Launching with this parameters.
```
python transformers/examples/language-modeling/test.py --train_data_file x.txt --output_dir albert_model --model_type albert --mlm --config_name test --tokenizer_name test --... | {
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https://api.github.com/repos/huggingface/transformers/issues/4726 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/4726/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/4726/comments | https://api.github.com/repos/huggingface/transformers/issues/4726/events | https://github.com/huggingface/transformers/pull/4726 | 629,357,322 | MDExOlB1bGxSZXF1ZXN0NDI2NzA3Njg0 | 4,726 | TFRobertaModelIntegrationTest requires tf | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/4726?src=pr&el=h1) Report\n> Merging [#4726](https://codecov.io/gh/huggingface/transformers/pull/4726?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/d976ef262e0b2c52363d201b2e14e5ecc42abbb3&el=desc) will **increase... | 1,591 | 1,591 | 1,591 | CONTRIBUTOR | null | {
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https://api.github.com/repos/huggingface/transformers/issues/4725 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/4725/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/4725/comments | https://api.github.com/repos/huggingface/transformers/issues/4725/events | https://github.com/huggingface/transformers/issues/4725 | 629,342,164 | MDU6SXNzdWU2MjkzNDIxNjQ= | 4,725 | Save & load sparse models from the models database | {
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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"
] | 1,591 | 1,596 | 1,596 | 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. -->
Handle saving and loading pipeline for sparse models such as PruneBERT.
## Motivation
<!-- Please outline the motivation for the proposal. Is your feat... | {
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https://api.github.com/repos/huggingface/transformers/issues/4724 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/4724/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/4724/comments | https://api.github.com/repos/huggingface/transformers/issues/4724/events | https://github.com/huggingface/transformers/pull/4724 | 629,244,524 | MDExOlB1bGxSZXF1ZXN0NDI2NjE4NTQ3 | 4,724 | Fix CI after killing archive maps | {
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https://api.github.com/repos/huggingface/transformers/issues/4723 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/4723/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/4723/comments | https://api.github.com/repos/huggingface/transformers/issues/4723/events | https://github.com/huggingface/transformers/pull/4723 | 629,170,366 | MDExOlB1bGxSZXF1ZXN0NDI2NTU3OTU2 | 4,723 | never_split on slow tokenizers should not split | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/4723?src=pr&el=h1) Report\n> Merging [#4723](https://codecov.io/gh/huggingface/transformers/pull/4723?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/76779363160a598f130433209a77f8a747351b61&el=desc) will **increase... | 1,591 | 1,591 | 1,591 | MEMBER | null | I'm actually not sure if it's the right behavior, but when using `do_basic_tokenization` on `BertTokenizer` the parameter `never_split` is not used to determine if a token should be sent to wordpiece tokenizer.
This PR checks, for each tokens returned by `basic_tokenizer`, if the token is not in the `never_split: se... | {
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https://api.github.com/repos/huggingface/transformers/issues/4722 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/4722/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/4722/comments | https://api.github.com/repos/huggingface/transformers/issues/4722/events | https://github.com/huggingface/transformers/pull/4722 | 629,128,371 | MDExOlB1bGxSZXF1ZXN0NDI2NTI1MjE3 | 4,722 | Unify label args | {
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"Like it!",
"Added a tentative documentation for the kwargs, not sure if we want it or not.",
"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/4722?src=pr&el=h1) Report\n> Merging [#4722](https://codecov.io/gh/huggingface/transformers/pull/4722?src=pr&el=desc) into [master](https://codecov.io/gh... | 1,591 | 1,591 | 1,591 | COLLABORATOR | null | Following up from #4711, this is a proposal to deprecate any argument that's not `labels` (like `madked_lm_labels`, `lm_labels`, etc.) to `labels`.
I've only done one model for now to get feedback on the design, once we have something you like, I can do them all (or have separate PRs if you think that's best). | {
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https://api.github.com/repos/huggingface/transformers/issues/4721 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/4721/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/4721/comments | https://api.github.com/repos/huggingface/transformers/issues/4721/events | https://github.com/huggingface/transformers/pull/4721 | 629,125,433 | MDExOlB1bGxSZXF1ZXN0NDI2NTIzMDAx | 4,721 | Faster bert basic tokenizer | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/4721?src=pr&el=h1) Report\n> Merging [#4721](https://codecov.io/gh/huggingface/transformers/pull/4721?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/47a551d17b6ed2eaf03301f049006d559fca5cf3&el=desc) will **increase... | 1,591 | 1,597 | 1,597 | CONTRIBUTOR | null | In this PR I tried 2 things:
* First I change some comparisons in the form of `a == sth or a == otherthing` for `a in {sth, otherthing}`. It is faster and more readable.
* I noticed that some methods could actually be functions because they did not use anything from the class.
I am a bit new to this, so I will... | {
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