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https://api.github.com/repos/huggingface/transformers/issues/11438 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/11438/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/11438/comments | https://api.github.com/repos/huggingface/transformers/issues/11438/events | https://github.com/huggingface/transformers/pull/11438 | 867,255,476 | MDExOlB1bGxSZXF1ZXN0NjIyOTUzMTIz | 11,438 | [docs] fix invalid class name | {
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The CI failures are unrelated - this can be safely merged.
@sgugger | {
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https://api.github.com/repos/huggingface/transformers/issues/11437 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/11437/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/11437/comments | https://api.github.com/repos/huggingface/transformers/issues/11437/events | https://github.com/huggingface/transformers/pull/11437 | 867,255,238 | MDExOlB1bGxSZXF1ZXN0NjIyOTUyOTI2 | 11,437 | [Makefile] make sure to test against the local checkout | {
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I had to fix that as I was getting at the end of `make fixup`:
```
python utils/check_repo.py
2021-04-25 21:54:53.850434: I tensorflo... | {
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https://api.github.com/repos/huggingface/transformers/issues/11436 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/11436/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/11436/comments | https://api.github.com/repos/huggingface/transformers/issues/11436/events | https://github.com/huggingface/transformers/issues/11436 | 867,168,368 | MDU6SXNzdWU4NjcxNjgzNjg= | 11,436 | 梯度爆炸问题 | {
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"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/master/CONTRIBUTING.md)... | 1,619 | 1,622 | 1,622 | NONE | null | 我在运行使用apex后用bert进行微调训练,最后报错提示"No module named 'amp_C'",并且还会梯度爆炸,请问是什么原因,该如何解决呢?
错误如下:
Selected optimization level O1: Insert automatic casts around Pytorch functions and Tensor methods.
Defaults for this optimization level are:
enabled : True
opt_level : O1
cast_model_type : None
patch_torch_functions : True
... | {
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https://api.github.com/repos/huggingface/transformers/issues/11435 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/11435/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/11435/comments | https://api.github.com/repos/huggingface/transformers/issues/11435/events | https://github.com/huggingface/transformers/issues/11435 | 867,136,132 | MDU6SXNzdWU4NjcxMzYxMzI= | 11,435 | convert gpt2 from tensorflow to pytorch | {
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"Hi @7AM7 \r\n\r\nI think this is because there is `_step` in TF checkpoint, which should be ignored when loading the weights.\r\n\r\nfor this you should write your own conversion script. You could take and modify this function\r\nhttps://github.com/huggingface/transformers/blob/30f065890e77f2917895b175b9a1df503b89... | 1,619 | 1,622 | 1,622 | NONE | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` = 4.5.1
- PyTorch version (GPU?) = = 1.8.1+cu101
command :
!python3 /content/transformers/src/transformers/models/... | {
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https://api.github.com/repos/huggingface/transformers/issues/11434 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/11434/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/11434/comments | https://api.github.com/repos/huggingface/transformers/issues/11434/events | https://github.com/huggingface/transformers/pull/11434 | 867,118,239 | MDExOlB1bGxSZXF1ZXN0NjIyODQzMTky | 11,434 | Updating checkpoint for GPT2ForSequenceClassification #11334 | {
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# What does this PR do?
This PR fixes the checkpoint for GPT2ForSequenceClassification. It sets it from `microsoft/dialogrpt` to `microsoft/DialogRPT-updown`
Fixes # (issue)
The identifier `microsoft/dialogrpt` is incorrect. When used, the weights of the linear layer at top are differently initialized at ea... | {
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https://api.github.com/repos/huggingface/transformers/issues/11433 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/11433/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/11433/comments | https://api.github.com/repos/huggingface/transformers/issues/11433/events | https://github.com/huggingface/transformers/issues/11433 | 867,075,662 | MDU6SXNzdWU4NjcwNzU2NjI= | 11,433 | tensorflow version is not able to pick the trained model from local directory in an air gapped system | {
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"Did you install TensorFlow in your environment? You might need a more recent TensorFlow version if so.",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues that do not f... | 1,619 | 1,622 | 1,622 | NONE | null | hi ,
i have trained the TFBertForSequenceClassification model and i have to deploy the trained model in an air gapped server.
code -
from transformers import BertTokenizer, TFBertForSequenceClassification
from transformers import InputExample, InputFeatures
model1=TFBertForSequenceClassification.from_pretrain... | {
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https://api.github.com/repos/huggingface/transformers/issues/11432 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/11432/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/11432/comments | https://api.github.com/repos/huggingface/transformers/issues/11432/events | https://github.com/huggingface/transformers/pull/11432 | 867,068,910 | MDExOlB1bGxSZXF1ZXN0NjIyODA3MTUz | 11,432 | Typo fixes | {
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Fix some typos in docs, comments, logging/errors
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/master/CONTRIBUTING... | {
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<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
Then, please replace this w... | {
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https://api.github.com/repos/huggingface/transformers/issues/11430 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/11430/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/11430/comments | https://api.github.com/repos/huggingface/transformers/issues/11430/events | https://github.com/huggingface/transformers/pull/11430 | 867,008,712 | MDExOlB1bGxSZXF1ZXN0NjIyNzY0MTMy | 11,430 | Fix `sp_model_kwargs` param missing at unpickle in `XLMRobertaTokenizer` | {
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"This PR ist ready for merging from my point of view."
] | 1,619 | 1,619 | 1,619 | CONTRIBUTOR | null | fix for #11429 | {
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https://api.github.com/repos/huggingface/transformers/issues/11429 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/11429/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/11429/comments | https://api.github.com/repos/huggingface/transformers/issues/11429/events | https://github.com/huggingface/transformers/issues/11429 | 867,007,451 | MDU6SXNzdWU4NjcwMDc0NTE= | 11,429 | `sp_model_kwargs` param missing at unpickle in `XLMRobertaTokenizer` | {
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"fix pr at #11430",
"Closed by #11430, thanks @PhilipMay!"
] | 1,619 | 1,619 | 1,619 | CONTRIBUTOR | null | When `XLMRobertaTokenizer` is unpickled the `sp_model_kwargs` is not set. See:
https://github.com/huggingface/transformers/blob/35cd8eed887891bee60194a95adc35b884f68f55/src/transformers/models/xlm_roberta/tokenization_xlm_roberta.py#L178
PS: I will provide a fix. | {
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https://api.github.com/repos/huggingface/transformers/issues/11428 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/11428/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/11428/comments | https://api.github.com/repos/huggingface/transformers/issues/11428/events | https://github.com/huggingface/transformers/issues/11428 | 866,994,628 | MDU6SXNzdWU4NjY5OTQ2Mjg= | 11,428 | RoBERTa: ValueError: The two structures don't have the same sequence length. Input structure has length 5, while shallow structure has length 4. | {
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"Can someone look into it? as I am passing the same data structure as mentioned in above error i n trainer.train(). PFB.\r\n\r\n<_AssertCardinalityDataset shapes: ({input_ids: (None,), attention_mask: (None,), feature_index: (), qas_id: ()}, {start_positions: (), end_positions: (), cls_index: (), p_mask: (None,), i... | 1,619 | 1,622 | 1,622 | NONE | null | ## Environment info
`transformers` version: 4.5.1
Platform: Google Colab
Python version: 3.7
PyTorch version (GPU?): NA
Tensorflow version (GPU?): 2.4.1
Using GPU in script?: Yes
Using distributed or parallel set-up in script?: No
### Who can help:
@LysandreJik for Roberta issue
@sgugger for trainer (tf_tra... | {
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https://api.github.com/repos/huggingface/transformers/issues/11427 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/11427/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/11427/comments | https://api.github.com/repos/huggingface/transformers/issues/11427/events | https://github.com/huggingface/transformers/pull/11427 | 866,983,604 | MDExOlB1bGxSZXF1ZXN0NjIyNzQ2MDkx | 11,427 | Fix link to the TPU launcher script in the pytorch examples | {
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<!--
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Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
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https://api.github.com/repos/huggingface/transformers/issues/11426 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/11426/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/11426/comments | https://api.github.com/repos/huggingface/transformers/issues/11426/events | https://github.com/huggingface/transformers/pull/11426 | 866,978,723 | MDExOlB1bGxSZXF1ZXN0NjIyNzQyNTU3 | 11,426 | [Flax] Add Electra models | {
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"I think I address most comments (the only thing missing is removing the `from_pt` when the flax checkpoint gets upload)! Thanks for the swift feedback",
"Hey @CoderPat,\r\n\r\nWe've merged a last design extension for the Flax design today, [here](https://github.com/huggingface/transformers/commit/f748bd424213ca8... | 1,619 | 1,620 | 1,620 | CONTRIBUTOR | null | # What does this PR do?
- Implement Flax version of Electra model and classes for different downstream tasks:
- `FlaxElectraModel`
- `FlaxElectraForMaskedLM`
- `FlaxElectraForPreTraining`
- `FlaxElectraForMultipleChoice`
- `FlaxElectraForQuestionAnswering`
- `FlaxElectraForSequenceClassification`
... | {
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https://api.github.com/repos/huggingface/transformers/issues/11425 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/11425/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/11425/comments | https://api.github.com/repos/huggingface/transformers/issues/11425/events | https://github.com/huggingface/transformers/issues/11425 | 866,946,095 | MDU6SXNzdWU4NjY5NDYwOTU= | 11,425 | ALBERT: The following keyword arguments are not supported by this model: ['cls_index', 'p_mask', 'is_impossible']. | {
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"The function prepares the dataset for the standard models as well the XLNet model that requires more arguments. You will need to drop those columns for an Albert models.\r\n\r\nWe are in the process of reworking the TensorFlow examples, so there should be one clearer example for QA soon!",
"Thanks @sgugger ...\r... | 1,619 | 1,622 | 1,622 | NONE | null | ## Environment info
- `transformers` version: 4.5.1
- Platform: Google Colab
- Python version: 3.7
- PyTorch version (GPU?): NA
- Tensorflow version (GPU?): 2.4.1
- Using GPU in script?: Yes
- Using distributed or parallel set-up in script?: No
### Who can help:
@LysandreJik for albert issue
@sgugger for ... | {
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https://api.github.com/repos/huggingface/transformers/issues/11424 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/11424/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/11424/comments | https://api.github.com/repos/huggingface/transformers/issues/11424/events | https://github.com/huggingface/transformers/issues/11424 | 866,946,073 | MDU6SXNzdWU4NjY5NDYwNzM= | 11,424 | Simple questions about EncoderDecoderModel | {
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"Hi @qute012 \r\n\r\nThe `tie_weights` method ties all the weights of the encoder and decoder including the embedding. For this to work, the encoder and decoder need to be the same model (same class) i.e either BERT2BERT or ROBERTA2ROBERTA2 and with same size.\r\n\r\n> If i want to use different tokenizer between e... | 1,619 | 1,622 | 1,622 | NONE | null | First, thank you for great works!
1. Does that tie function work for sharing pretrained weight of encoder's embedding with weight of decoder's embedding?https://github.com/huggingface/transformers/blob/52166f672ed337934d90cc525c226d93209e0923/src/transformers/models/encoder_decoder/modeling_encoder_decoder.py#L185
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https://api.github.com/repos/huggingface/transformers/issues/11423 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/11423/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/11423/comments | https://api.github.com/repos/huggingface/transformers/issues/11423/events | https://github.com/huggingface/transformers/issues/11423 | 866,913,366 | MDU6SXNzdWU4NjY5MTMzNjY= | 11,423 | IBert: What would be the possible reason `IntLayerNorm` does not decrease the loss? | {
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"It is likely that the IntLayerNorm layers are not warmed up. IntLayerNorm layer has to adjust its internal parameter (`self.shift`) during the quantization-aware training process. It is the one that prevents overflow (i.e. keeps the internal activation values to be less than 2**32) and is initialized with zero. He... | 1,619 | 1,619 | 1,619 | NONE | null | ### Who can help
@kssteven418
## Information
IBert
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:
* [ ] an official GLUE/SQUaD task: (give the name)
* [x] my own task or dataset: (g... | {
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https://api.github.com/repos/huggingface/transformers/issues/11422 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/11422/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/11422/comments | https://api.github.com/repos/huggingface/transformers/issues/11422/events | https://github.com/huggingface/transformers/issues/11422 | 866,904,892 | MDU6SXNzdWU4NjY5MDQ4OTI= | 11,422 | Transformers 4.1.1 & Tensorflow 2.0, AttributeError: module'tensorflow_core.keras.activations' has no attribute'swish' | {
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"The setup was updated super late: we already required tensorflow >= 2.3 for a while when we finally went to it. I don't know which version of Transformers supports tensorflow 2.0 but I would guess it's 3.0 or even below.",
"Okay, hope the document can be clearer. Every time I read `README.md`, it says `This repo... | 1,619 | 1,619 | 1,619 | NONE | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: 4.1.1
- Platform: Mac
- Python version: 3.6
- PyTorch version (GPU?): No
- Tensorflow version (GPU?): 2.0.0... | {
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https://api.github.com/repos/huggingface/transformers/issues/11421 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/11421/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/11421/comments | https://api.github.com/repos/huggingface/transformers/issues/11421/events | https://github.com/huggingface/transformers/issues/11421 | 866,868,752 | MDU6SXNzdWU4NjY4Njg3NTI= | 11,421 | Race condition when using --save_total_limit, --load_best_model_at_end and deepspeed zero2+cpu_offload | {
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"I believe that is a correct workaround. Would you like to make a PR with it?",
"Sure, happy to.",
"@chitkwan, are you still inspired to make a PR to fix this? Thank you!",
"Oh this has been fixed in #11748 I believe. Sorry I did not reference it in this issue.",
"ah yes! \r\n\r\n@chitkwan, could you please... | 1,619 | 1,624 | 1,624 | NONE | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: 4.5.1
- Platform: Linux-5.4.0-1045-aws-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.6.9
- PyTorch ver... | {
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https://api.github.com/repos/huggingface/transformers/issues/11420 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/11420/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/11420/comments | https://api.github.com/repos/huggingface/transformers/issues/11420/events | https://github.com/huggingface/transformers/issues/11420 | 866,845,185 | MDU6SXNzdWU4NjY4NDUxODU= | 11,420 | [Question] Implementing character based tokenizer | {
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"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/master/CONTRIBUTING.md)... | 1,619 | 1,622 | 1,622 | NONE | null | Hi team, what's the recommended approach for implementing a character based tokenizer? Thanks | {
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https://api.github.com/repos/huggingface/transformers/issues/11419 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/11419/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/11419/comments | https://api.github.com/repos/huggingface/transformers/issues/11419/events | https://github.com/huggingface/transformers/issues/11419 | 866,842,340 | MDU6SXNzdWU4NjY4NDIzNDA= | 11,419 | Parameter in `DebertaV2Tokenizer.__init__()` without documentation: `split_by_punct` | {
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"@BigBird01 : could you please help with this?",
"I believe this parameter additionally splits the text on the punctuation, as it can be seen from the method it's calling:\r\n\r\nhttps://github.com/huggingface/transformers/blob/afe479adb5474250215438fe27db9dc9dbbbde09/src/transformers/models/deberta_v2/tokenizati... | 1,619 | 1,624 | 1,624 | CONTRIBUTOR | null | The `split_by_punct` parameter in `DebertaV2Tokenizer.__init__()` should be documented:
https://github.com/huggingface/transformers/blob/52166f672ed337934d90cc525c226d93209e0923/src/transformers/models/deberta_v2/tokenization_deberta_v2.py#L89
@BigBird01 : could you please check this? | {
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https://api.github.com/repos/huggingface/transformers/issues/11418 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/11418/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/11418/comments | https://api.github.com/repos/huggingface/transformers/issues/11418/events | https://github.com/huggingface/transformers/pull/11418 | 866,838,034 | MDExOlB1bGxSZXF1ZXN0NjIyNjQ5MzY5 | 11,418 | [Deepspeed] ZeRO-Infinity integration plus config revamp | {
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"> Great job @stas00! I like the solution you picked to be able to start initializing part of deepspeed inside the training arguments. Does it fully solve the chicken and egg problem you add?\r\n\r\nThank you!\r\n\r\nFor the current needs of `zero.Init()`, yes! As long as the user separates creating `TrainingArgume... | 1,619 | 1,619 | 1,619 | CONTRIBUTOR | null | This PR:
- [x] integrates ZeRO-Infinity
- [x] revamps the configuration process, instead of the confusing to users sometimes-we-override-values, sometimes-we-don't - all values are now explicit unless they are set to `auto`, then and only then the Trainer will set them to the correct or recommended values.
- [x] ma... | {
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https://api.github.com/repos/huggingface/transformers/issues/11417 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/11417/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/11417/comments | https://api.github.com/repos/huggingface/transformers/issues/11417/events | https://github.com/huggingface/transformers/pull/11417 | 866,823,012 | MDExOlB1bGxSZXF1ZXN0NjIyNjM4NTU1 | 11,417 | Enable option for subword regularization in more tokenizers. | {
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"I found this somehow obscure function argument called `sample` at `AlbertTokenizer`:\r\n\r\nhttps://github.com/huggingface/transformers/blob/52166f672ed337934d90cc525c226d93209e0923/src/transformers/models/albert/tokenization_albert.py#L189\r\n\r\nIt seems to enable subword regularization but with fixed parameters... | 1,619 | 1,622 | 1,620 | CONTRIBUTOR | null | see https://github.com/huggingface/transformers/pull/11149#pullrequestreview-643686428
## To-do
### `AlbertTokenizer`
- [x] add `sp_model_kwargs` param with test
- [x] add pickle support with test
- [x] remove obscure function argument called `sample`
- [x] check
- [x] refactor test to follow DRY
### `Barthez... | {
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https://api.github.com/repos/huggingface/transformers/issues/11416 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/11416/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/11416/comments | https://api.github.com/repos/huggingface/transformers/issues/11416/events | https://github.com/huggingface/transformers/issues/11416 | 866,806,712 | MDU6SXNzdWU4NjY4MDY3MTI= | 11,416 | Transformers Pegasus - how do I fine tune another language? | {
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"Hi @seregadgl20-oss \r\n\r\nIt would be nice if you use the forum (https://discuss.huggingface.co/) to ask such general questions. Issues are for bugs and feature requests. Thank you!",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be ... | 1,619 | 1,622 | 1,622 | NONE | null | How do I fine tune another language? Who will tell you? | {
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https://api.github.com/repos/huggingface/transformers/issues/11415 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/11415/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/11415/comments | https://api.github.com/repos/huggingface/transformers/issues/11415/events | https://github.com/huggingface/transformers/issues/11415 | 866,783,083 | MDU6SXNzdWU4NjY3ODMwODM= | 11,415 | Roberta Tokenizer cannot handle inputs with `<mask>` token | {
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"Hi, the tokenizer of RoBERTa is a byte-level BPE tokenizer. It is a subword tokenizer.\r\n\r\nIn your example with `app ` it completes the word, but there also exists full words within it's dictionary, as you can see when the input sequence is appropriate:\r\n\r\n```py\r\n>>> nlp('Hello, how are you <mask> sir?')\... | 1,619 | 1,622 | 1,622 | NONE | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: 4.5.1
- Platform: macOS-11.1-arm64-arm-64bit
- Python version: 3.9.1
- PyTorch version (GPU?): 1.8.0 (False)... | {
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https://api.github.com/repos/huggingface/transformers/issues/11414 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/11414/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/11414/comments | https://api.github.com/repos/huggingface/transformers/issues/11414/events | https://github.com/huggingface/transformers/issues/11414 | 866,766,765 | MDU6SXNzdWU4NjY3NjY3NjU= | 11,414 | checkpointing is not still covering all cases | {
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<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: 4.5.0
- Platform: linux
- Python version: 3.8
- PyTorch version (GPU?): 1.8
- Tensorflow version (GPU?): ... | {
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https://api.github.com/repos/huggingface/transformers/issues/11413 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/11413/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/11413/comments | https://api.github.com/repos/huggingface/transformers/issues/11413/events | https://github.com/huggingface/transformers/issues/11413 | 866,731,325 | MDU6SXNzdWU4NjY3MzEzMjU= | 11,413 | Allow adding custom logits processors in the `generate` method | {
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"I think I could submit a pull request to this, if I had \r\n1) feedback on the idea (do you think it makes sense to do that?)\r\n2) a little help changing existing tests and/or implementing new tests to reflect the change.\r\n\r\nAlso, maybe one would need the new argument to be `Optional[LogitsProcessor]` instead... | 1,619 | 1,637 | 1,623 | NONE | null | # 🚀 Feature request
Hello,
I'd like to request a new feature in the `generate` method of the `GenerationMixin` class from `generation_utils`. Specifically, I'd like a feature that allows a user to pass custom LogitsProcessors by adding a new argument `logit_processors: Optional[LogitsProcessorList] = None` to the ... | {
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https://api.github.com/repos/huggingface/transformers/issues/11412 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/11412/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/11412/comments | https://api.github.com/repos/huggingface/transformers/issues/11412/events | https://github.com/huggingface/transformers/issues/11412 | 866,680,047 | MDU6SXNzdWU4NjY2ODAwNDc= | 11,412 | Small bug while converting wav2vec2 model trained using fairseq to huggingface | {
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"Hi @harveenchadha \r\n\r\nif you pass `skip_special_tokens=True` to `decode` method, it will skip all the special tokens. ",
"Hi Suraj,\r\n\r\nThanks! That works. But in the inference service that is deployed to test in browser, how will this change?",
"This issue has been automatically marked as stale because... | 1,619 | 1,623 | 1,623 | NONE | null | Hi,
I was trying to convert a wav2vec2 model trained using fairseq to have support with HuggingFace but there is a small error in inference.
When I use the code below:
```
import soundfile as sf
import torch
from transformers import Wav2Vec2ForCTC, Wav2Vec2Processor
# load pretrained model
processor =... | {
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https://api.github.com/repos/huggingface/transformers/issues/11411 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/11411/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/11411/comments | https://api.github.com/repos/huggingface/transformers/issues/11411/events | https://github.com/huggingface/transformers/issues/11411 | 866,668,503 | MDU6SXNzdWU4NjY2Njg1MDM= | 11,411 | What do these model parameters mean? | {
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"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/master/CONTRIBUTING.md)... | 1,619 | 1,622 | 1,622 | NONE | null |
"params_classifier.dense.weight"
"params_classifier.dense.bias"
"params_classifier.out_proj.weight"
"params_classifier.out_proj.bias"
Could someone please briefly explain these parameters to me? Using the DeBERTa model | {
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https://api.github.com/repos/huggingface/transformers/issues/11410 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/11410/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/11410/comments | https://api.github.com/repos/huggingface/transformers/issues/11410/events | https://github.com/huggingface/transformers/pull/11410 | 866,498,614 | MDExOlB1bGxSZXF1ZXN0NjIyMzg0NDMy | 11,410 | wrong parentclass in documentation | {
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"unsubscribe<https://github.com/notifications/unsubscribe-auth/ATPBJ2FNGKBXXXSN6ZH6POLTKIDLZANCNFSM43PQRSGA>.\r\n/\r\n0Merged #11410<https://github.com/huggingface/transformers/pull/11410> into master.\r\n\r\n—\r\nYou are receiving this because you are subscribed to this thread.\r\nReply to this email directly, vi... | 1,619 | 1,619 | 1,619 | CONTRIBUTOR | null | # What does this PR do?
The documentation linked to the parent class PreTrainedTokenizerFast but it should be the slow tokenizer class
## Before submitting
- [X] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [X] Did you read the [contributor guideline](http... | {
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https://api.github.com/repos/huggingface/transformers/issues/11409 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/11409/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/11409/comments | https://api.github.com/repos/huggingface/transformers/issues/11409/events | https://github.com/huggingface/transformers/issues/11409 | 866,495,729 | MDU6SXNzdWU4NjY0OTU3Mjk= | 11,409 | How to use GPU when running run_summarization.py | {
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"Hi @liubest \r\n\r\nPlease make sure that your torch installation can detect the GPU. All scripts will run on GPU if it's available.\r\nIf you want to run on multiple GPUs, follow the docs [here](https://github.com/huggingface/transformers/tree/master/examples/pytorch#distributed-training-and-mixed-precision).\r\n... | 1,619 | 1,622 | 1,622 | NONE | null | When I run run_summarization.py on my computer and my computer has 2 GPUs. But the code didn't run with gpu cuda and is very very slow. Can anyone tell me how to use transformers with GPU? Thank you very much! | {
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https://api.github.com/repos/huggingface/transformers/issues/11408 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/11408/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/11408/comments | https://api.github.com/repos/huggingface/transformers/issues/11408/events | https://github.com/huggingface/transformers/issues/11408 | 866,469,888 | MDU6SXNzdWU4NjY0Njk4ODg= | 11,408 | [CI] solving the pytest crashing and hanging CI job | {
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"`/usr/bin/time -v`'s output for `-n3`:\r\n```\r\n Command being timed: \"python -m pytest -n 3 --dist=loadfile -s --make-reports=tests_torch ./tests/\"\r\n User time (seconds): 1507.88\r\n System time (seconds): 56.49\r\n Percent of CPU this job got: 261%\r\n Elapsed (wall clock)... | 1,619 | 1,622 | null | CONTRIBUTOR | null | So as of recent we have the `run_tests_torch` CI job randomly and frequently failing.
We couldn't find any fault with any tests because there is never a traceback, just hanging `pytest` that sends no output.
This usually is a symptom that the process used more resources than it was allowed and it was killed - of ... | {
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https://api.github.com/repos/huggingface/transformers/issues/11407 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/11407/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/11407/comments | https://api.github.com/repos/huggingface/transformers/issues/11407/events | https://github.com/huggingface/transformers/pull/11407 | 866,450,130 | MDExOlB1bGxSZXF1ZXN0NjIyMzQ0Mzg4 | 11,407 | Add basic support for FP16 in SageMaker model parallelism | {
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**Note:** This is not full support yet as SageMaker Model Parallelism does not support gradient clipping, so a user has to change the default of `max_grad_norm` to 0 if they want to use it.
Otherwise, this adds support for mixed precision training in SageMaker Model Parallelism mode. The s... | {
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https://api.github.com/repos/huggingface/transformers/issues/11406 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/11406/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/11406/comments | https://api.github.com/repos/huggingface/transformers/issues/11406/events | https://github.com/huggingface/transformers/pull/11406 | 866,445,997 | MDExOlB1bGxSZXF1ZXN0NjIyMzQxMDUz | 11,406 | Pass along seed to DistributedSampler | {
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"Should also be passed to the constructor for `DistributedLengthGroupedSampler`?",
"Good point, added it!"
] | 1,619 | 1,619 | 1,619 | COLLABORATOR | null | # What does this PR do?
This PR passes along the seed to `DistributedSampler` otherwise it always uses 0 for setting its RNG. See #11389 for more context.
Fixes #11389 | {
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https://api.github.com/repos/huggingface/transformers/issues/11405 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/11405/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/11405/comments | https://api.github.com/repos/huggingface/transformers/issues/11405/events | https://github.com/huggingface/transformers/pull/11405 | 866,320,654 | MDExOlB1bGxSZXF1ZXN0NjIyMjM3NTA3 | 11,405 | Default to accuracy metric in run_glue_no_trainer | {
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In `run_glue_no_trainer`, the metric is not properly initialized when no task name is passed, this PR fixes that.
Fixes #11403 | {
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https://api.github.com/repos/huggingface/transformers/issues/11404 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/11404/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/11404/comments | https://api.github.com/repos/huggingface/transformers/issues/11404/events | https://github.com/huggingface/transformers/issues/11404 | 866,314,907 | MDU6SXNzdWU4NjYzMTQ5MDc= | 11,404 | Documentation 404 error | {
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"thanks alot ",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/maste... | 1,619 | 1,659 | 1,622 | NONE | null | For this page: https://huggingface.co/transformers/examples.html
several (all?) of the links in the "The Big Table of Tasks" section are getting a 404 error.
Ex: https://github.com/huggingface/transformers/tree/master/examples/token-classification
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https://api.github.com/repos/huggingface/transformers/issues/11403 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/11403/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/11403/comments | https://api.github.com/repos/huggingface/transformers/issues/11403/events | https://github.com/huggingface/transformers/issues/11403 | 866,290,221 | MDU6SXNzdWU4NjYyOTAyMjE= | 11,403 | metric is uninitialized when csv data is supplied to example/pytorch/text-classification/run_glue_no_trainer.py | {
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"Thanks for flagging. The PR mentioned above will make it default to accuracy. Of course, you're free to change it to whatever you need!",
"Glad to be of help!\r\nAh, I did not see that - I only looked in the Issues to see if it had already been reported. I will check the PR's as well the next time.\r\nThanks ver... | 1,619 | 1,619 | 1,619 | NONE | null | ## Environment info
- `transformers` version: 4.5.1
- Platform: Darwin-18.7.0-x86_64-i386-64bit
- Python version: 3.7.0
- PyTorch version (GPU?): 1.8.1 (False)
- Tensorflow version (GPU?): not installed (NA)
- Using GPU in script?: No
- Using distributed or parallel set-up in script?: distributed
- OS type an... | {
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https://api.github.com/repos/huggingface/transformers/issues/11402 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/11402/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/11402/comments | https://api.github.com/repos/huggingface/transformers/issues/11402/events | https://github.com/huggingface/transformers/issues/11402 | 866,259,186 | MDU6SXNzdWU4NjYyNTkxODY= | 11,402 | Positional embeddings are not applied when input embeddings are passed in for Pytorch DistilBert model | {
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"That's correct indeed, and seems like a bug to me. Would you like to open a PR to fix the issue?",
"Thanks for the confirmation. Yes, I should be able to do that.",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please co... | 1,619 | 1,622 | 1,622 | NONE | null | ## Environment info
- `transformers` version: 4.1.1
- Platform: Windows-10-10.0.18362-SP0
- Python version: 3.6.6
- PyTorch version (GPU?): 1.8.0+cpu (False)
- Tensorflow version (GPU?): 2.4.0 (False)
- Using GPU in script?: Yes
- Using distributed or parallel set-up in script?: No
### Who can help
@julien-c... | {
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https://api.github.com/repos/huggingface/transformers/issues/11401 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/11401/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/11401/comments | https://api.github.com/repos/huggingface/transformers/issues/11401/events | https://github.com/huggingface/transformers/issues/11401 | 866,220,225 | MDU6SXNzdWU4NjYyMjAyMjU= | 11,401 | Download offile HuggingFace Models in other format than ".bin" Format | {
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"Not sure how to help here... can you download the files from another machine and sync them to the restricted env?",
"No, that's the only problem that all the devices within organization are same network and have same policies(as mentioned above).. :)\r\nI see huggingFace has already provided many methods but the... | 1,619 | 1,622 | 1,622 | NONE | null | # 🚀 Feature request
### Hi,
### Just wandering if there is any other way of downloading Huggingface models in a restricted environment?
For example :
**a.)** we have a network which doesn't allow downloading the model by internet (so the auto download feature in transformer wont work),
**b.)** we can't downl... | {
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https://api.github.com/repos/huggingface/transformers/issues/11400 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/11400/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/11400/comments | https://api.github.com/repos/huggingface/transformers/issues/11400/events | https://github.com/huggingface/transformers/pull/11400 | 866,106,614 | MDExOlB1bGxSZXF1ZXN0NjIyMDY1MjE3 | 11,400 | [Wav2Vec2] Correct conversion script | {
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<!--
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Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
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https://api.github.com/repos/huggingface/transformers/issues/11399 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/11399/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/11399/comments | https://api.github.com/repos/huggingface/transformers/issues/11399/events | https://github.com/huggingface/transformers/issues/11399 | 866,085,603 | MDU6SXNzdWU4NjYwODU2MDM= | 11,399 | unable to import transformers in Python <3.8 | {
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"I can add a PR to fix this. "
] | 1,619 | 1,620 | 1,620 | CONTRIBUTOR | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: 4.4.2
- Python version: 3.7
### Who can help
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https://api.github.com/repos/huggingface/transformers/issues/11398 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/11398/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/11398/comments | https://api.github.com/repos/huggingface/transformers/issues/11398/events | https://github.com/huggingface/transformers/issues/11398 | 866,066,422 | MDU6SXNzdWU4NjYwNjY0MjI= | 11,398 | RuntimeError: [enforce fail at CPUAllocator.cpp:64] . DefaultCPUAllocator: can't allocate memory: you tried to allocate 237414383616 bytes. Error code 12 (Cannot allocate memory) | {
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"You should pass along small batches to the model to avoid this error: you should create a loop that goes over the I in `range(0, len(padded), batch_size)` and passes along the `padded[i: i+batch_size]` to your model, then concatenates the predictions back together.\r\n\r\nAlso note that this is not a bug in Transf... | 1,619 | 1,685 | 1,619 | NONE | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
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https://api.github.com/repos/huggingface/transformers/issues/11397 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/11397/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/11397/comments | https://api.github.com/repos/huggingface/transformers/issues/11397/events | https://github.com/huggingface/transformers/issues/11397 | 866,024,583 | MDU6SXNzdWU4NjYwMjQ1ODM= | 11,397 | PreTrainedTokenizerFast.save_pretrained() ERROR | {
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"It is because the version of `tokenizers` lib and the version of `transformers` lib do not match."
] | 1,619 | 1,619 | 1,619 | NONE | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: 4.1.1
- Platform: macOS-11.1-arm64-arm-64bit
- Python version: 3.9.1
- PyTorch version (GPU?): 1.8.0 (False)... | {
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https://api.github.com/repos/huggingface/transformers/issues/11396 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/11396/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/11396/comments | https://api.github.com/repos/huggingface/transformers/issues/11396/events | https://github.com/huggingface/transformers/pull/11396 | 866,020,830 | MDExOlB1bGxSZXF1ZXN0NjIxOTk1NjU5 | 11,396 | Fix small typo in text | {
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Fixes small typo
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
Documentation + maintained examples: @sgugger
-->
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https://api.github.com/repos/huggingface/transformers/issues/11395 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/11395/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/11395/comments | https://api.github.com/repos/huggingface/transformers/issues/11395/events | https://github.com/huggingface/transformers/pull/11395 | 865,956,397 | MDExOlB1bGxSZXF1ZXN0NjIxOTQzMTc1 | 11,395 | [Blenderbot] Integration Test should be slow | {
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"Thanks!"
] | 1,619 | 1,619 | 1,619 | MEMBER | null | # What does this PR do?
<!--
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Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
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https://api.github.com/repos/huggingface/transformers/issues/11394 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/11394/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/11394/comments | https://api.github.com/repos/huggingface/transformers/issues/11394/events | https://github.com/huggingface/transformers/pull/11394 | 865,926,849 | MDExOlB1bGxSZXF1ZXN0NjIxOTE5NDA0 | 11,394 | [Flax] Correct Flax <=> PyTorch conversion | {
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https://api.github.com/repos/huggingface/transformers/issues/11392 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/11392/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/11392/comments | https://api.github.com/repos/huggingface/transformers/issues/11392/events | https://github.com/huggingface/transformers/issues/11392 | 865,829,964 | MDU6SXNzdWU4NjU4Mjk5NjQ= | 11,392 | MayBe There is a bug with class DebertaV2PredictionHeadTransform | {
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"Hey @startnew,\r\n\r\nSorry could you add some code that we could copy-paste into a terminal to reproduce the error? :-) I don't quite follow here - is it the official code (in `src/transformes`) that doesn't work or specific adapted code?",
"Thank you for your reply, @patrickvonplaten , you can reproduce the er... | 1,619 | 1,622 | 1,622 | NONE | null | I got an **error** like this:
`RuntimeError: mat1 dim 1 must match mat2 dim` when Use official Debertav2 mlm .
## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` versio... | {
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https://api.github.com/repos/huggingface/transformers/issues/11391 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/11391/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/11391/comments | https://api.github.com/repos/huggingface/transformers/issues/11391/events | https://github.com/huggingface/transformers/pull/11391 | 865,816,123 | MDExOlB1bGxSZXF1ZXN0NjIxODMxNTA2 | 11,391 | Fix typos in README for text-classification | {
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`transformers/examples/pytorch/text-classification/run_glue_no_trainer.py` has `max_length` instead of `max_seq_length` while the README uses `--max_seq_length` as example commands for `run_glue_no_trainer.py`. This PR fixes the typos.
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https://api.github.com/repos/huggingface/transformers/issues/11390 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/11390/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/11390/comments | https://api.github.com/repos/huggingface/transformers/issues/11390/events | https://github.com/huggingface/transformers/issues/11390 | 865,781,214 | MDU6SXNzdWU4NjU3ODEyMTQ= | 11,390 | S3 checkpoints not working with distributed training on sagemaker | {
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"cc @philschmid ",
"Hey @laphang, \r\n\r\nCould you please share your `estimator` configuration? that would help debug and reproduce your problem. Thanks!\r\n",
"@laphang I tried to reproduce your error and for me its works using the following `HuggingFace` estimator. \r\n```python\r\n# estimator\r\nhuggingface... | 1,619 | 1,635 | 1,619 | NONE | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: 4.5.0
- Platform: AWS Sagemaker
- Python version: 3.6
- PyTorch version (GPU?): 1.7.1
- Tensorflow version ... | {
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https://api.github.com/repos/huggingface/transformers/issues/11389 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/11389/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/11389/comments | https://api.github.com/repos/huggingface/transformers/issues/11389/events | https://github.com/huggingface/transformers/issues/11389 | 865,749,785 | MDU6SXNzdWU4NjU3NDk3ODU= | 11,389 | Distributed DataSampler has fixed data order despite random seeds. | {
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"Follow-up note (part of @lorr1's team that encountered this). This is particularly insidious for any sort of code that tries training with multiple random seeds; there's an assumption that across seeds, weight initialization (for pre-training, fine-tuning weights), dropout, AND data order are all different (and al... | 1,619 | 1,619 | 1,619 | NONE | null | When using a distributed data loader with `shuffle = True` in the Hugging Face trainer, it calls the underlying torch data loader. If `shuffle` is set to True, the data loader seeds the generator with `seed + epoch` ([here](https://github.com/pytorch/pytorch/blob/f84a50109f794d4feab922056b77d7c358076776/torch/utils/dat... | {
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https://api.github.com/repos/huggingface/transformers/issues/11388 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/11388/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/11388/comments | https://api.github.com/repos/huggingface/transformers/issues/11388/events | https://github.com/huggingface/transformers/issues/11388 | 865,717,734 | MDU6SXNzdWU4NjU3MTc3MzQ= | 11,388 | CUDA OOM in the middle of training when the training data is large | {
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"Hi\r\nI also have observed the same issue with t5-base model and mt5-small model ",
"Could you maybe make use of the `group_by_length` training argument? This will put the largest batch first to make sure OOM are detected in the very beginning (best feature ever by @sgugger )",
"This issue has been automatica... | 1,619 | 1,622 | 1,622 | NONE | null | ## Environment info
- `transformers` version: 4.6.0.dev0
- Platform: Linux-3.10.0-1160.24.1.el7.x86_64-x86_64-with-centos-7.9.2009-Core
- Python version: 3.7.9
- PyTorch version (GPU?): 1.8.0 (False)
- Tensorflow version (GPU?): not installed (NA)
- Using GPU in script?: Yes
- Using distributed or parallel set-u... | {
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https://api.github.com/repos/huggingface/transformers/issues/11387 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/11387/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/11387/comments | https://api.github.com/repos/huggingface/transformers/issues/11387/events | https://github.com/huggingface/transformers/pull/11387 | 865,711,993 | MDExOlB1bGxSZXF1ZXN0NjIxNzQ4MTA5 | 11,387 | Implement Fast Tokenization for Deberta | {
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"@LysandreJik , most of it was easy to figure out by looking at other tokenizers. The setup and testing guidelines were very easy to follow, I was up and running very quickly.\r\n\r\nFor the fast tokenizers, few things that might help someone like me who is new to the transformers library:\r\n1. A top-level differe... | 1,619 | 1,620 | 1,619 | CONTRIBUTOR | null | # What does this PR do?
Fixes #10498
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/master/CONTRIBUTING.md#start-contributing-pull-request... | {
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https://api.github.com/repos/huggingface/transformers/issues/11386 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/11386/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/11386/comments | https://api.github.com/repos/huggingface/transformers/issues/11386/events | https://github.com/huggingface/transformers/pull/11386 | 865,489,019 | MDExOlB1bGxSZXF1ZXN0NjIxNTU4ODgy | 11,386 | [Seq2seq] Add Support for TensorFlow | {
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"Hi! I'm the TF maintainer for 🤗 Transformers right now. Thanks for this, the code quality looks really good! There's one issue, though - we're currently trying to move away from `TFTrainer` and use more native, idiomatic TF code based on Keras. You can see an example of the kind of TFTrainer-free approach we're w... | 1,619 | 1,622 | 1,622 | NONE | null | # What does this PR do?
<!--
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https://api.github.com/repos/huggingface/transformers/issues/11385 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/11385/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/11385/comments | https://api.github.com/repos/huggingface/transformers/issues/11385/events | https://github.com/huggingface/transformers/issues/11385 | 865,453,945 | MDU6SXNzdWU4NjU0NTM5NDU= | 11,385 | [docs]Incorrect way of input encoding for "multiple choice" models in documentation? | {
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"@Riroaki I agree with you! It should be:\r\n```python\r\ntokenizer([[prompt, choice0], [prompt, choice1]], return_tensors='pt', padding=True)\r\n```",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this th... | 1,619 | 1,626 | 1,626 | NONE | null | In the documentation about "xxForMultipleChoice" models like BERT, ALBERT, RoBERTa, the examples goes like [this](https://huggingface.co/transformers/model_doc/bert.html#bertformultiplechoice):
```
>>> from transformers import BertTokenizer, BertForMultipleChoice
>>> import torch
>>> tokenizer = BertTokenizer.fro... | {
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https://api.github.com/repos/huggingface/transformers/issues/11384 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/11384/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/11384/comments | https://api.github.com/repos/huggingface/transformers/issues/11384/events | https://github.com/huggingface/transformers/issues/11384 | 865,399,217 | MDU6SXNzdWU4NjUzOTkyMTc= | 11,384 | some issue in loading local txt file as Dataset for run_mlm.py | {
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"_I tried to load 3 .txt files as a dataset_ - bad idea, try to merge them in one, then let's see what you'll get (which error message or result).",
"Try this one:\r\n```\r\nfrom pathlib import Path\r\npaths = [str(x) for x in Path(\".\").glob(\"**/*.txt\")]\r\n```\r\n\r\nP.S. Next time just copy-paste code, don'... | 1,619 | 1,622 | 1,622 | NONE | null | 
first of all, I tried to load 3 .txt files as a dataset (sure that the directory and permission is OK.), I face with the below error.
> FileNotFoundError: [Errno 2] No such file or directory: 'c'
by ... | {
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https://api.github.com/repos/huggingface/transformers/issues/11383 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/11383/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/11383/comments | https://api.github.com/repos/huggingface/transformers/issues/11383/events | https://github.com/huggingface/transformers/pull/11383 | 865,106,662 | MDExOlB1bGxSZXF1ZXN0NjIxMjIzNjk5 | 11,383 | Fixed trainer total_flos relaoding in distributed mode | {
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There was a bug on the `total_flos` quantity when loading/reloading trainer states in distributed mode: when reloading a training, every process started from the total amount of floating-point operations. The next time they were aggregated, this caused the sum of the operations of all process... | {
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https://api.github.com/repos/huggingface/transformers/issues/11382 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/11382/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/11382/comments | https://api.github.com/repos/huggingface/transformers/issues/11382/events | https://github.com/huggingface/transformers/pull/11382 | 865,035,174 | MDExOlB1bGxSZXF1ZXN0NjIxMTY0MTQ0 | 11,382 | Fix Trainer with remove_unused_columns=False | {
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A bug was introduced by mistake in #11343 when `remove_unused_columns=False`. This PR fixes that.
Fixes #11381 | {
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"Thank you so much for flagging! This should be fixed by the PR above."
] | 1,619 | 1,619 | 1,619 | CONTRIBUTOR | null | ## Environment info
- `transformers` version: 4.6.0.dev0
- Platform: Linux-4.15.0-134-generic-x86_64-with-glibc2.10
- Python version: 3.8.5
- PyTorch version (GPU?): 1.8.1 (False)
- Tensorflow version (GPU?): 2.4.0 (False)
- Using GPU in script?: No
- Using distributed or parallel set-up in script?: No
### Wh... | {
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https://api.github.com/repos/huggingface/transformers/issues/11380 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/11380/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/11380/comments | https://api.github.com/repos/huggingface/transformers/issues/11380/events | https://github.com/huggingface/transformers/pull/11380 | 864,886,579 | MDExOlB1bGxSZXF1ZXN0NjIxMDQwMzUx | 11,380 | [Examples] Fixes inconsistency around eval vs val and predict vs test | {
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"Hi @sgugger and @stas00,\r\nI have made changes in the following way,\r\n| Earlier | Now |\r\n| ---- | ---- |\r\n| test | predict |\r\n| test_examples | predict_examples |\r\n| test_dataset | predict_dataset |\r\n| max_test_samples | max_predict_samples |\r\n| val | eval |\r\n| val_examples | eval_examples |\r\n| ... | 1,619 | 1,619 | 1,619 | CONTRIBUTOR | null | # What does this PR do?
Fixes #10165
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/master/CONTRIBUTING.md#start-contributing-pull-request... | {
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"Awesome job @GeetDsa - this looks good to me :-) \r\n\r\nAlso pinging @patil-suraj and @Narsil for review.",
"@Narsil - do you think we need a test here or should this be fine without?",
"Hi @patrickvonplaten , Most of the errors are caused because of \"max_length\" attribute used while creating `beam_scorer` ... | 1,619 | 1,619 | 1,619 | CONTRIBUTOR | null | # What does this PR do?
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"Think we still need to fill out a couple of things before publishing it :-) ",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues that do not follow the [contributing gu... | 1,619 | 1,648 | null | MEMBER | null | # What does this PR do?
This PR add a "call for model addition" to add [GLM](https://github.com/THUDM/GLM) model into the lib. | {
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"Hey @cceyda - thanks for the issue!\r\n\r\nYes, this was an intentional choice since those parameters seemed to be the same in all experiments after studying the paper. If people want to change those params, we could always add them in a later version.",
"This issue has been automatically marked as stale because... | 1,619 | 1,621 | 1,621 | CONTRIBUTOR | null | # 🚀 Reproducibility challenge
During the fine-tuning week I realized some of the smaller details in the implementation are a bit different than the original fairseq implementation. @patrickvonplaten
Original Code: https://github.com/pytorch/fairseq/blob/master/fairseq/models/wav2vec/wav2vec2.py
🤗 Code: https... | {
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"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/master/CONTRIBUTING.md)... | 1,619 | 1,622 | 1,622 | CONTRIBUTOR | null | # 🚀 Feature request
Since pytorch models already have the option to output probablities when using `model.generate(...)`, I wanted to ask if there's any chance if this will also be implemented for TensorFlow models?
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# What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/11371 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/11371/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/11371/comments | https://api.github.com/repos/huggingface/transformers/issues/11371/events | https://github.com/huggingface/transformers/issues/11371 | 864,527,519 | MDU6SXNzdWU4NjQ1Mjc1MTk= | 11,371 | [examples] UserWarning: `max_length` is deprecated | {
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"This one also having same warning `examples/pytorch/summarization/run_summarization.py `",
"Would you like to tackle this one, @bhadreshpsavani, next? Absolutely no need to say yes ;)",
"Sure, I will take this issue,\r\nI don't have any extra issue with me apart from this!",
"Hi @stas00,\r\nI am not very sur... | 1,619 | 1,620 | 1,620 | CONTRIBUTOR | null | Not sure how many example scripts are affected by this:
```
src/transformers/generation_utils.py:963: UserWarning: `max_length` is deprecated in this function, use
`stopping_criteria=StoppingCriteriaList(MaxLengthCriteria(max_length=max_length))` instead.
```
getting this with at least `examples/pytorch/translati... | {
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"I tried to use self.config.attention_probs_dropout_prob instead of config.dropout_rate. It seems worked.",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues that do not... | 1,619 | 1,622 | 1,622 | NONE | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: tfs4.5.1
- Platform: ubuntu18.04
- Python version: 3.8
- PyTorch version (GPU?): 1.7
- Tensorflow version (... | {
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<!--
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"I think the biggest barrier to using custom CUDA kernel is that it'd require `transformers` to move from a python-only package, to a compilation-required type of package (even if JIT), which in my experience is the type of a package that is far from trivial to use and often raises a barrier to entry.\r\n\r\nIf I'm... | 1,619 | 1,621 | null | NONE | null | # 🚀 Feature request
Support for custom fused CUDA kernels with HF model classes.
## Motivation
It appears that Hugging Face model classes do not scale very well as-is unlike Megatron-LM, even when the latter is configured with a degree of model-parallelization = 1 for a "fair" performance comparison.
One o... | {
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"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/master/CONTRIBUTING.md)... | 1,619 | 1,621 | 1,621 | MEMBER | null | This PR fixes an issue with the SPM converters (ALBERT and XLNet) where it would replace some characters by whitespace - after removing double whitespace occurrences. This meant that if double whitespace were to appear thanks to this replacement, they would be kept until the end of encoding, leading to a mismatch betwe... | {
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https://api.github.com/repos/huggingface/transformers/issues/11366 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/11366/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/11366/comments | https://api.github.com/repos/huggingface/transformers/issues/11366/events | https://github.com/huggingface/transformers/issues/11366 | 864,255,775 | MDU6SXNzdWU4NjQyNTU3NzU= | 11,366 | RuntimeError: CUDA error: device-side assert triggered | {
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"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/master/CONTRIBUTING.md)... | 1,619 | 1,622 | 1,622 | NONE | null | ```
if torch.cuda.is_available():
dev = "cuda:0"
else:
dev = "cpu"
device = torch.device(dev)
bert = BertForSequenceClassification.from_pretrained(args.model_name_or_path)
bert = bert.to(device)
```
raise RuntimeError: CUDA error: device-side assert triggered
nvidia-smi:
![image](https://user... | {
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"@LysandreJik do you have insight on what could be causing this error? Thanks!",
"Hi! I'm trying to reproduce but as I don't have your checkpoint this is proving complicated. Could you provide a reproducible example/colab so I can take a look?\r\n\r\nAlso, it seems you've shared some of the stack trace but not th... | 1,619 | 1,624 | 1,624 | NONE | null | ## Environment info
- `transformers` version: 4.5.1
- Platform: Linux-5.4.0-72-generic-x86_64-with-glibc2.27
- Python version: 3.8.6
- PyTorch version (GPU?): 1.6.0 (True)
- Tensorflow version (GPU?): 2.3.1 (True)
- Using GPU in script?: Have tried with and without
- Using distributed or parallel set-up in scr... | {
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https://api.github.com/repos/huggingface/transformers/issues/11364 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/11364/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/11364/comments | https://api.github.com/repos/huggingface/transformers/issues/11364/events | https://github.com/huggingface/transformers/pull/11364 | 864,123,685 | MDExOlB1bGxSZXF1ZXN0NjIwNDA3OTg5 | 11,364 | [Flax] Big FlaxBert Refactor | {
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<!--
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https://api.github.com/repos/huggingface/transformers/issues/11363 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/11363/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/11363/comments | https://api.github.com/repos/huggingface/transformers/issues/11363/events | https://github.com/huggingface/transformers/issues/11363 | 864,100,566 | MDU6SXNzdWU4NjQxMDA1NjY= | 11,363 | torch_xla/csrc/tensor_methods.cpp:880 : Check failed: xla::ShapeUtil::Compatible(shapes.back(), tensor_shape) | {
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"We didn't check yet whether BigBird works on TPU. We should put it on the roadmap (cc @vasudevgupta7) .",
"It should be interesting to check which operation (in bigbird) is causing problem on TPU :)",
"@vasudevgupta7 @patrickvonplaten Thanks. Please let us know if there was any update. Thanks!",
"Hi @mabdull... | 1,619 | 1,623 | 1,620 | NONE | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: 4.5.0
- Platform: Linux-4.19.112+-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.7.10
- PyTorch version... | {
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"Hello! Is this a `transformers` issue? Where does `transformers` come into play?",
"> \r\n> \r\n> Hello! Is this a `transformers` issue? Where does `transformers` come into play?\r\nHi !! Actually, here I am showing only the issues I'm getting when training the TimeSFormer model,\r\nyou can find more information... | 1,619 | 1,622 | 1,622 | NONE | null | My input data are the feature maps, instead of raw images. and have the form : (4,50,1,1,256)
mini_batch=4 / frames=50 / channels=1 / H=1 / W= 256
The parameters of the TimeSformer are :
TimeSformer(
dim = 128,
image_size = 256,
patch_size = 16,
num_frames = 50,
num_classes = 2,
depth ... | {
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https://api.github.com/repos/huggingface/transformers/issues/11360 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/11360/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/11360/comments | https://api.github.com/repos/huggingface/transformers/issues/11360/events | https://github.com/huggingface/transformers/pull/11360 | 864,026,740 | MDExOlB1bGxSZXF1ZXN0NjIwMzI4ODE1 | 11,360 | Merge new TF example script | {
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https://api.github.com/repos/huggingface/transformers/issues/11359 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/11359/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/11359/comments | https://api.github.com/repos/huggingface/transformers/issues/11359/events | https://github.com/huggingface/transformers/pull/11359 | 864,022,202 | MDExOlB1bGxSZXF1ZXN0NjIwMzI1MTQ0 | 11,359 | [testing doc] bring doc up to date | {
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@sgugger | {
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https://api.github.com/repos/huggingface/transformers/issues/11358 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/11358/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/11358/comments | https://api.github.com/repos/huggingface/transformers/issues/11358/events | https://github.com/huggingface/transformers/issues/11358 | 863,948,701 | MDU6SXNzdWU4NjM5NDg3MDE= | 11,358 | Different results between `AlbertTokenizer` and `AlbertTokenizerFast` modules with a new `spiece.model` file | {
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"Hey @SaulLu, thanks a lot for the detailed issue. I managed to reproduce the issue by using another tokenizer on the hub, `codegram/calbert-tiny-uncased`, which has the same issue.\r\n\r\n@n1t0 helped me identify the issue, and we have a fix in #11367. Would you mind trying it out and let me know if it fixes your ... | 1,619 | 1,621 | 1,621 | CONTRIBUTOR | null | Hello!
I would like to ask your opinion about a tokenizer behavior. In a project, I have to train a new tokenizer to re-pretrain an Albert model. I don't know if I did something wrong (and if I did, I'd love to know!) but for the moment a text is not tokenized in the same way with `AlbertTokenizer` and `AlbertTokeni... | {
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https://api.github.com/repos/huggingface/transformers/issues/11357 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/11357/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/11357/comments | https://api.github.com/repos/huggingface/transformers/issues/11357/events | https://github.com/huggingface/transformers/issues/11357 | 863,886,453 | MDU6SXNzdWU4NjM4ODY0NTM= | 11,357 | possible mistake in documentation | {
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"Hey @shyrma,\r\n\r\nyou are right I think - do you mind opening a PR to fix it? :-) ",
"I'm not sure how to make a fix in an appropriate way, since both classes (for example) BartModel and BartForConditionalGeneration\r\nuse the same doc string BART_INPUTS_DOCSTRING `@add_start_docstrings_to_model_forward(BART_I... | 1,619 | 1,619 | 1,619 | NONE | null | Looking at description of the parameter "decoder_input_ids" in "forward" method of BartForConditionalGeneration/T5ForConditionalGeneration, I see following:
BartForConditionalGeneration:
decoder_input_ids - ... For translation and summarization training, decoder_input_ids should be provided. If no decoder_input_ids... | {
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https://api.github.com/repos/huggingface/transformers/issues/11356 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/11356/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/11356/comments | https://api.github.com/repos/huggingface/transformers/issues/11356/events | https://github.com/huggingface/transformers/issues/11356 | 863,750,965 | MDU6SXNzdWU4NjM3NTA5NjU= | 11,356 | Whyhttps://github.com/huggingface/transformers/tree/master/examples/pplm | {
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"The html doesn‘t work. I can't see \"https://github.com/huggingface/transformers/tree/master/examples/pplm\".",
"Did something went wrong? A lot of the scripts are gone like there used to be examples for clm and plm in transformers/examples/language-modeling but now there's only run_mlm_noflax.py",
"Soga，haha.... | 1,619 | 1,622 | 1,622 | NONE | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version:
- Platform:
- Python version:
- PyTorch version (GPU?):
- Tensorflow version (GPU?):
- Using GPU in script... | {
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https://api.github.com/repos/huggingface/transformers/issues/11355 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/11355/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/11355/comments | https://api.github.com/repos/huggingface/transformers/issues/11355/events | https://github.com/huggingface/transformers/pull/11355 | 863,749,985 | MDExOlB1bGxSZXF1ZXN0NjIwMTAwNjkw | 11,355 | Fix token_type_ids error for big_bird model. | {
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"@sgugger ",
"I think the BigBird QA model actually uses 16 token type ids (https://huggingface.co/google/bigbird-base-trivia-itc/blob/main/config.json), but this is an exception I think and the default case is 2 token type ids => so this looks good to me.\r\n\r\n @vasudevgupta7 what do you think?",
"Yes, both ... | 1,619 | 1,619 | 1,619 | CONTRIBUTOR | null | I run the follow code, but get strange outputs, the `token_type_ids` is shorter than `input_ids`:
```python
def demo():
model_name = "./resources/bigbird-roberta-base"
tokenizer = AutoTokenizer.from_pretrained(model_name)
text = 'With power of science ,'
max_length = 10
encoded_tokens = token... | {
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https://api.github.com/repos/huggingface/transformers/issues/11354 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/11354/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/11354/comments | https://api.github.com/repos/huggingface/transformers/issues/11354/events | https://github.com/huggingface/transformers/issues/11354 | 863,678,081 | MDU6SXNzdWU4NjM2NzgwODE= | 11,354 | Question-answering pipeline failing with Nonetype exception when selecting spans with tokens outside of the context | {
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"Hi, thank you for opening such a detailed issue. I know @Narsil has some experience with the question answering pipeline and has probably been confronted to that issue in the past.\r\n\r\nNicolas, what do you think of the fix proposed above?\r\n\r\nEither way we should work on a clearer error message.",
"The pro... | 1,618 | 1,620 | 1,620 | CONTRIBUTOR | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: '4.6.0.dev0'
- Platform: Linux Mint 20
- Python version: 3.7.10
- PyTorch version (GPU?): GPU
- Tensorflow ... | {
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https://api.github.com/repos/huggingface/transformers/issues/11353 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/11353/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/11353/comments | https://api.github.com/repos/huggingface/transformers/issues/11353/events | https://github.com/huggingface/transformers/pull/11353 | 863,445,586 | MDExOlB1bGxSZXF1ZXN0NjE5ODUyMDA5 | 11,353 | T5 Gradient Checkpointing | {
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<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
Then, please replace this w... | {
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https://api.github.com/repos/huggingface/transformers/issues/11352 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/11352/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/11352/comments | https://api.github.com/repos/huggingface/transformers/issues/11352/events | https://github.com/huggingface/transformers/pull/11352 | 863,423,680 | MDExOlB1bGxSZXF1ZXN0NjE5ODM0MjE1 | 11,352 | [deepspeed] fix resume from checkpoint | {
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"Indeed. I removed it during merge. Thank you for the reminder, @sgugger "
] | 1,618 | 1,619 | 1,619 | CONTRIBUTOR | null | This PR fixes a bug that most likely somehow got exposed (not caused) by https://github.com/huggingface/transformers/pull/11318 - surprisingly the same test worked just fine before that other PR.
@sgugger
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https://api.github.com/repos/huggingface/transformers/issues/11351 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/11351/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/11351/comments | https://api.github.com/repos/huggingface/transformers/issues/11351/events | https://github.com/huggingface/transformers/issues/11351 | 863,362,363 | MDU6SXNzdWU4NjMzNjIzNjM= | 11,351 | fine tuning encoder decoder for custom language translation | {
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"Hello, thanks for opening an issue! We try to keep the github issues for bugs/feature requests.\r\nCould you ask your question on the [forum](https://discusss.huggingface.co) instead?\r\n\r\n\r\nYou might also find [this notebook](https://colab.research.google.com/github/patrickvonplaten/notebooks/blob/master/BERT... | 1,618 | 1,622 | 1,622 | NONE | null | Hello everyone,
I would like to know if you can train a BERT2GPT model (or other models) for translation of customized languages (from scratch). I need to translate gloss signals from ASL to English.
I have already looked for tutorials on the internet, but most of them are for the task of generating text, I canno... | {
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https://api.github.com/repos/huggingface/transformers/issues/11350 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/11350/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/11350/comments | https://api.github.com/repos/huggingface/transformers/issues/11350/events | https://github.com/huggingface/transformers/pull/11350 | 863,362,064 | MDExOlB1bGxSZXF1ZXN0NjE5Nzg1OTI4 | 11,350 | Examples reorg | {
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"`tests/deepspeed` and `tests/extended` need to be updated too following the rename. Thank you.\r\n\r\n```\r\npip install fairscale deepspeed\r\nRUN_SLOW=1 pytest tests/deepspeed tests/extended\r\n```",
"Which tests are failing for you in `tests/extended`? Everything is passing on my side. For deepspeed I fixed t... | 1,618 | 1,619 | 1,619 | COLLABORATOR | null | # What does this PR do?
As discussed internally, this PR reorganizes the `examples` folder to make clean subfolders for PyTorch and TensorFlow. This way, each example can have its own requirements including the proper backend and there is no headache to determine who will be first in the README.
It also splits th... | {
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https://api.github.com/repos/huggingface/transformers/issues/11349 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/11349/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/11349/comments | https://api.github.com/repos/huggingface/transformers/issues/11349/events | https://github.com/huggingface/transformers/pull/11349 | 863,259,255 | MDExOlB1bGxSZXF1ZXN0NjE5NzAxMTA3 | 11,349 | [Wav2Vec2] Fix special tokens for Wav2Vec2 tokenizer | {
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<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
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https://api.github.com/repos/huggingface/transformers/issues/11348 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/11348/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/11348/comments | https://api.github.com/repos/huggingface/transformers/issues/11348/events | https://github.com/huggingface/transformers/issues/11348 | 863,241,686 | MDU6SXNzdWU4NjMyNDE2ODY= | 11,348 | 'Tensor' object has no attribute 'size' | {
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"Hi! You're using `AutoModel`, which is a pytorch model, with TensorFlow instructions. Change to `TFAutoModel`!",
"Hi @LysandreJik Thanks for your response when I try to import TFAutoModel from TensorFlow it gives an error that cannot import name 'TFAutomodel' from 'transformers' (unknown location)\r\nmy environm... | 1,618 | 1,622 | 1,622 | NONE | null | I am trying to implement a transformer for language classification using TensorFlow below is the model code I used but it throws an error of tensor object has no attribute size please help for the notebook you can visit the below link
https://github.com/waqarkaleemkhan/Transformer_for_Language_classification/blob/ma... | {
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https://api.github.com/repos/huggingface/transformers/issues/11347 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/11347/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/11347/comments | https://api.github.com/repos/huggingface/transformers/issues/11347/events | https://github.com/huggingface/transformers/pull/11347 | 863,217,793 | MDExOlB1bGxSZXF1ZXN0NjE5NjY1NzA2 | 11,347 | Extract metric_key_prefix during NotebookProgressCallback.on_evaluate | {
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"Mmm, looks like there is a problem in the tests though.",
"Yes, part of the problem is coming from `CallbackHandler.on_evaluate` which does not have a `kwargs` in the signature: https://github.com/huggingface/transformers/blob/f1b938fda81d4b9e8ab435cb7f37f71c9b7cbb1e/src/transformers/trainer_callback.py#L361\r\n... | 1,618 | 1,619 | 1,619 | MEMBER | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/11346 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/11346/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/11346/comments | https://api.github.com/repos/huggingface/transformers/issues/11346/events | https://github.com/huggingface/transformers/pull/11346 | 863,144,483 | MDExOlB1bGxSZXF1ZXN0NjE5NjAyNDEz | 11,346 | [contributing doc] explain/link to good first issue | {
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@LysandreJik, @sgugger | {
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https://api.github.com/repos/huggingface/transformers/issues/11345 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/11345/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/11345/comments | https://api.github.com/repos/huggingface/transformers/issues/11345/events | https://github.com/huggingface/transformers/issues/11345 | 863,134,929 | MDU6SXNzdWU4NjMxMzQ5Mjk= | 11,345 | absolute embeddings in Deberta | {
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"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/master/CONTRIBUTING.md)... | 1,618 | 1,625 | 1,624 | NONE | null | The paper says they add absolute position embeddings at the last layer, however, the models is still using the addition of position embeddings and word embeddings.
In configuration_deberta.py
------------
position_biased_input (:obj:`bool`, `optional`, defaults to :obj:`True`):
Whether add absolute p... | {
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https://api.github.com/repos/huggingface/transformers/issues/11344 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/11344/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/11344/comments | https://api.github.com/repos/huggingface/transformers/issues/11344/events | https://github.com/huggingface/transformers/issues/11344 | 863,019,153 | MDU6SXNzdWU4NjMwMTkxNTM= | 11,344 | [run_summarization.py] wrong dataset leads to CUDA error:s | {
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"This fails too:\r\n```\r\nCUDA_LAUNCH_BLOCKING=1 python examples/seq2seq/run_summarization.py \\\r\n--model_name_or_path google/pegasus-xsum --do_eval --dataset_name xsum --output_dir output_dir \\\r\n--per_device_eval_batch_size=16 --predict_with_generate --max_val_samples 20\r\n```\r\n\r\n```\r\n***** Running Ev... | 1,618 | 1,631 | 1,631 | CONTRIBUTOR | null | Feeding `--dataset_name cnn_dailymail` to `--model_name_or_path google/pegasus-xsum` leads to lots of errors from pytorch - perhaps there is a way to detect that the dataset is inappropriate and give a nice relevant assert instead?
You'd think that `--dataset_name cnn_dailymail` and `--dataset_name xsum` should be i... | {
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https://api.github.com/repos/huggingface/transformers/issues/11343 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/11343/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/11343/comments | https://api.github.com/repos/huggingface/transformers/issues/11343/events | https://github.com/huggingface/transformers/pull/11343 | 862,967,857 | MDExOlB1bGxSZXF1ZXN0NjE5NDUwMTEy | 11,343 | Update to use datasets remove_cloumns method | {
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This PR updates the command used in the `Trainer` to drop the columns not used by the model to take advantage of the latest (well not so latest since it landed in datasets 1.4.0) `remove_columns` method. This adds the advantage of not modifying in place the dataset (as was done before) so the... | {
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https://api.github.com/repos/huggingface/transformers/issues/11342 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/11342/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/11342/comments | https://api.github.com/repos/huggingface/transformers/issues/11342/events | https://github.com/huggingface/transformers/issues/11342 | 862,942,788 | MDU6SXNzdWU4NjI5NDI3ODg= | 11,342 | mlflow parameter overflow when training a language adapter | {
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Traceback (most recent call last):
File "/mnt/localdata/cao/run_de_modeling.py", line 512, in <module>
main()
File "/mnt/localdata/cao/run_de_modeling.py", line 476, in ma... | {
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https://api.github.com/repos/huggingface/transformers/issues/11341 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/11341/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/11341/comments | https://api.github.com/repos/huggingface/transformers/issues/11341/events | https://github.com/huggingface/transformers/issues/11341 | 862,931,271 | MDU6SXNzdWU4NjI5MzEyNzE= | 11,341 | Warpping model.generate before exporting into tensorflow savedmodel format | {
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"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/master/CONTRIBUTING.md)... | 1,618 | 1,622 | 1,622 | NONE | null | # 🚀 Feature request
<!-- A clear and concise description of the feature proposal.
Please provide a link to the paper and code in case they exist. -->
I had been using BART model and there i can use model.generate if i am working with checkpoints. However model.generate is not exported when i export the model... | {
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https://api.github.com/repos/huggingface/transformers/issues/11340 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/11340/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/11340/comments | https://api.github.com/repos/huggingface/transformers/issues/11340/events | https://github.com/huggingface/transformers/pull/11340 | 862,927,762 | MDExOlB1bGxSZXF1ZXN0NjE5NDE2MjMw | 11,340 | Remove boiler plate code | {
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] | closed | false | null | [] | [] | 1,618 | 1,619 | 1,619 | MEMBER | null | # What does this PR do?
In Flax, the logic of every model has to be built purely on a tree of `flax.linen.Module` classes so that the whole model, *e.g.* `FlaxBertForMaskedLMModule`, can automatically be recast as an explicit function. This allows for easy jitting, data parallelism, and model parallelism.
However ... | {
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https://api.github.com/repos/huggingface/transformers/issues/11339 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/11339/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/11339/comments | https://api.github.com/repos/huggingface/transformers/issues/11339/events | https://github.com/huggingface/transformers/issues/11339 | 862,854,036 | MDU6SXNzdWU4NjI4NTQwMzY= | 11,339 | Perform max_input_tokens truncation with Summarization Pipeline | {
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"I think the argument you're looking for is `truncation`! Could you try passing `truncation=True` or `truncation=\"longest_first\"` to your pipeline call?",
"Hi @LysandreJik this doesn't seem to be working for me. When I call \r\n```\r\nsummarizer = pipeline(\"summarization\", model=model, tokenizer=tokenizer, de... | 1,618 | 1,626 | 1,620 | CONTRIBUTOR | null | # 🚀 Feature request
I'd like to be able to set a `max_input_tokens` and configure a `truncation_strategy` in `SummarizationPipeline`.
Please let me know if I am missing something that already allows for this!
## Motivation
I initialize and call a summarization pipeline as follows
```
model = AutoModelF... | {
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