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https://api.github.com/repos/huggingface/transformers/issues/15463 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15463/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15463/comments | https://api.github.com/repos/huggingface/transformers/issues/15463/events | https://github.com/huggingface/transformers/pull/15463 | 1,120,884,305 | PR_kwDOCUB6oc4x6cUQ | 15,463 | `Trainer.push_to_hub` always tries to push to the Hub | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,643 | 1,643 | 1,643 | COLLABORATOR | null | # What does this PR do?
As pointed out in #15431, when a user tries to call `Trainer.push_to_hub` with the corresponding training argument set to `False`, the call fails. However, the intent of the user calling that method is clear, so we should try to honor it.
This PR makes the call succeed, as long as it's pos... | {
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] | 1,643 | 1,643 | 1,643 | CONTRIBUTOR | null | fix typo
# What does this PR do?
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thanks for tackling this! Should we maybe also add some `# Copied from ...` statements here to make the code more robust to changes?"
] | 1,643 | 1,643 | 1,643 | MEMBER | null | # What does this PR do?
Continue making tokenizers independent. This PR refactors the `BartTokenizer` to remove dependency on `RobertaTokenizer` | {
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https://api.github.com/repos/huggingface/transformers/issues/15460 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15460/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15460/comments | https://api.github.com/repos/huggingface/transformers/issues/15460/events | https://github.com/huggingface/transformers/issues/15460 | 1,120,634,291 | I_kwDOCUB6oc5Cy4Wz | 15,460 | Inspect inner layers of Transformer models as in TensorFlow/Keras | {
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"cc @Rocketknight1 @gante ",
"Assigning to me, I can see if there is good solution for this",
"This is tricky, I think. We spoke briefly about this with fchollet - I don't think there's a good way to get this without refactoring our models from subclassing-style to functional-style, but I might be wrong!",
"... | 1,643 | 1,643 | 1,643 | NONE | null | In `keras` (and `tensorflow`), we can inspect a model as follows:
```
resnet = tensorflow.keras.applications.ResNet152V2(
include_top=True,
weights="imagenet",
input_tensor=None,
input_shape=None,
pooling=None,
classes=1000,
classifier_activation="softmax",
)
resnet.summary()
... | {
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https://api.github.com/repos/huggingface/transformers/issues/15459 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15459/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15459/comments | https://api.github.com/repos/huggingface/transformers/issues/15459/events | https://github.com/huggingface/transformers/issues/15459 | 1,120,571,662 | I_kwDOCUB6oc5CypEO | 15,459 | Masking in T5Attention | {
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"Hey, \r\n\r\nI think simply corresponds to how it is done in the original implementation. It essentially means that we don't add any **positional** information for tokens that are masked.",
"ok understand thanks!"
] | 1,643 | 1,643 | 1,643 | NONE | null | @patil-suraj @patrickvonplaten Hello! I was wondering why have you added mask in T5Attention to position_bias????? look at
https://github.com/huggingface/transformers/blob/db7d6a80e82d66127b2a44b6e3382969fdc8b207/src/transformers/models/t5/modeling_t5.py#L510 | {
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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)... | 1,643 | 1,647 | 1,647 | NONE | null | # 🚀 Feature request
Support dynamical input size and shape for TrOcr input image.
## Motivation
TrOcr has input shape for image 384x384, but can recognise only single line. So It does not effective utilize resources.
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_15457). All of your documentation changes will be reflected on that endpoint.",
"REALM tests seem to be failing - doesn't seem like they should be running ?",
"This issue has been automatically marked as stale because it... | 1,643 | 1,650 | 1,650 | CONTRIBUTOR | null | # What does this PR do?
Linked to #14853 (now closed - bad rebase)
@LysandreJik | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,643 | 1,643 | 1,643 | CONTRIBUTOR | null | # What does this PR do?
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Make sure users can override `truncation_side` on load.
Fixes #15440
@sgugger
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"_The documentation is not available anymore as the PR was closed or merged._",
"> I think this is included in the other PR I just reviewed no?\r\n\r\n@sgugger, indeed part of this PR was in the PR you just reviewed but I misunderstood narsil comment so I'll removed it from the other PR and merge this PR first. T... | 1,643 | 1,643 | 1,643 | CONTRIBUTOR | null | # What does this PR do?
This PR propose to replace an assert inside `PreTrainedTokenizerBase`'s `__init__` method with a ValueError exception. I took also this opportunity to test this behavior as it wasn't tested in the existing test.
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,643 | 1,651 | 1,643 | COLLABORATOR | null | # What does this PR do?
Fix checkpoint in `FlaxVisionTextDualEncoderModel`'s doc example.
@patil-suraj | {
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"Hey @sharathadavanne,\r\n\r\nGood question and good job investigating the mistake used so far. I assume that you used the LM in combination with a trained acoustic model via `Wav2Vec2ProcessorWithLM` meaning that you used the `pyctcdecode` library: https://github.com/kensho-technologies/pyctcdecode/tree/main/pyctc... | 1,643 | 1,647 | 1,647 | NONE | null | ## Environment info
- `transformers` version: 4.15.0
- Platform: Linux-5.8.0-36-generic-x86_64-with-glibc2.29
- Python version: 3.8.5
- PyTorch version (GPU?): 1.8.1+cu102 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not installed
- ... | {
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https://api.github.com/repos/huggingface/transformers/issues/15451 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15451/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15451/comments | https://api.github.com/repos/huggingface/transformers/issues/15451/events | https://github.com/huggingface/transformers/issues/15451 | 1,120,232,737 | I_kwDOCUB6oc5CxWUh | 15,451 | Adding RelationExtraction head to layoutLMv2 and layoutXLM models | {
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"Hi,\r\n\r\nThat's great to read :) it was a bit unclear to me how to use the model at inference time (the authors only provided a [script](https://github.com/microsoft/unilm/blob/761acb436cf7c3d92091776c1f499c13b8a3eb27/layoutlmft/examples/run_xfun_re.py) for training and evaluation, i.e. when labels are available... | 1,643 | 1,684 | null | NONE | null | # 🌟 New model head addition
Relation Extraction Head for LayoutLMv2/XLM
## Addition description
Hey all,
I've see a bunch of different requests across huggingface issues [[0]](https://github.com/huggingface/transformers/issues/14330), unilm issues [[0]](https://github.com/microsoft/unilm/issues/286)[[1]](https:/... | {
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https://api.github.com/repos/huggingface/transformers/issues/15450 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15450/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15450/comments | https://api.github.com/repos/huggingface/transformers/issues/15450/events | https://github.com/huggingface/transformers/issues/15450 | 1,120,128,256 | I_kwDOCUB6oc5Cw80A | 15,450 | Add class weight support for classification | {
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"Hey @francisco-perez-sorrosal! We encourage defining your own loss outside of the model for this use-case.\r\n\r\nSee https://github.com/huggingface/transformers/issues/9625#issuecomment-762167788 and https://github.com/huggingface/transformers/issues/7024#issuecomment-689625449 for more context.",
"This issue h... | 1,643 | 1,664 | 1,648 | NONE | null | # 🚀 Feature request
Add support for the class re-weighting parameters provided in the current loss functions of PyTorch and TF.
## Motivation
In supervised ML classification problems, specially multiclass/multilabel, the classes in the datasets used to train a model may have very different distribution of dis... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_15449). All of your documentation changes will be reflected on that endpoint.",
"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... | 1,643 | 1,647 | 1,647 | NONE | null | In supervised ML classification problems, specially multiclass/multilabel, the classes in the datasets used to train a model may have very different distribution of discrete values, which is usually called class imbalance. The class imbalance may cause biases in the training of the models. DL frameworks like PyTorch or... | {
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https://api.github.com/repos/huggingface/transformers/issues/15448 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15448/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15448/comments | https://api.github.com/repos/huggingface/transformers/issues/15448/events | https://github.com/huggingface/transformers/issues/15448 | 1,119,898,468 | I_kwDOCUB6oc5CwEtk | 15,448 | line 111 in convert_megatron_bert_checkpoint.py cause error "AttributeError: 'Namespace' object has no attribute 'get'" | {
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"hey @bugface, thanks for opening an issue! Do you want to open a PR to fix this? :)"
] | 1,643 | 1,643 | 1,643 | CONTRIBUTOR | null | The new script convert_megatron_bert_checkpoint.py for converting Megatron checkpoint to HF model has a minor error at line 111
```
config.intermediate_size = ds_args.get("ffn_hidden_size", 4 * ds_args.hidden_size)
```
ds_args is <class 'argparse.Namespace'> which does not have "get" function
change to
... | {
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https://api.github.com/repos/huggingface/transformers/issues/15447 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15447/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15447/comments | https://api.github.com/repos/huggingface/transformers/issues/15447/events | https://github.com/huggingface/transformers/issues/15447 | 1,119,864,948 | I_kwDOCUB6oc5Cv8h0 | 15,447 | Tokenizers can not pad tensorized inputs | {
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"Hey @Impelon,\r\n\r\nCoulcd you clarify why you would do:\r\n\r\n```\r\ntokenizer.pad(tokenizer(\"hello world\")) # works as expected\r\n```\r\n\r\ninstead of \r\n\r\n```python\r\ntokenizer(\"hello world\", padding=True, truncation=True)\r\n```\r\n\r\n?\r\n\r\nThe `__call__` method of `tokenzier` internally calls ... | 1,643 | 1,647 | 1,647 | NONE | null | ### Who can help
@SaulLu or possibly @patrickvonplaten, who committed 538b3b46075dce22a61aeeafd2131979150359a9.
## To reproduce
Observe the following MWE:
```python3
>>> import transformers
>>> tokenizer = transformers.BartTokenizer.from_pretrained("facebook/bart-large")
>>> tokenizer.pad(tokenizer("hell... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,643 | 1,643 | 1,643 | CONTRIBUTOR | null | The default for `synced_gpus` should be `False` - it's already correctly documented as such.
@sgugger | {
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https://api.github.com/repos/huggingface/transformers/issues/15445 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15445/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15445/comments | https://api.github.com/repos/huggingface/transformers/issues/15445/events | https://github.com/huggingface/transformers/pull/15445 | 1,119,824,724 | PR_kwDOCUB6oc4x27CL | 15,445 | skip large generations pipeline test for XGLM | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Can we just add some TODO to fix better later in the comment in that case?",
"Merging to get the CI green."
] | 1,643 | 1,643 | 1,643 | MEMBER | null | # What does this PR do?
Skip large generations pipeline test for XGLM since it uses sinusoidal positional embeddings which are resized on the fly. | {
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https://api.github.com/repos/huggingface/transformers/issues/15444 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15444/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15444/comments | https://api.github.com/repos/huggingface/transformers/issues/15444/events | https://github.com/huggingface/transformers/pull/15444 | 1,119,810,275 | PR_kwDOCUB6oc4x237v | 15,444 | [M2M100, XGLM] fix positional emb resize | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Looks good to me - a bit surprising to me that no one saw this earlier"
] | 1,643 | 1,643 | 1,643 | MEMBER | null | # What does this PR do?
The sinusoidal position embeddings in M2M100 and XGLM are not correctly resized as the `max_pos` is computed in-correctly. Take into account the `past_key_values_length` when computing `max_pos`. | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_15443). All of your documentation changes will be reflected on that endpoint.",
"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... | 1,643 | 1,646 | 1,646 | NONE | null | If the input text contains `"<pad>"` (true for C4/en dataset) T5 tokenizer assigns it index 0.
Collator code (line 371) assumes that only tokens with `id > 0` are the text tokens and the rest are sentinel ids (`-1`), which turns out not to be true for this particular case.
This causes the line to throw an error simil... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"I think this is the last misfiring warning (this one is usually triggered in Seq2Seq models). I'm a little worried that there's some use-case where this will actually cause console spam instead, but I think it's safe.",
"Aaa, wait!... | 1,643 | 1,643 | 1,643 | MEMBER | null | One last misfiring TF warning switched to `tf.print`. | {
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https://api.github.com/repos/huggingface/transformers/issues/15441 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15441/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15441/comments | https://api.github.com/repos/huggingface/transformers/issues/15441/events | https://github.com/huggingface/transformers/pull/15441 | 1,119,772,057 | PR_kwDOCUB6oc4x2wAj | 15,441 | [XGLMTokenizer] correct positional emb size | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,643 | 1,643 | 1,643 | MEMBER | null | # What does this PR do?
Correct the `PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES`, 1024 => 2048 | {
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https://api.github.com/repos/huggingface/transformers/issues/15440 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15440/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15440/comments | https://api.github.com/repos/huggingface/transformers/issues/15440/events | https://github.com/huggingface/transformers/issues/15440 | 1,119,768,824 | I_kwDOCUB6oc5CvlD4 | 15,440 | tokenizer truncation_side is not set up with from_pretrained call | {
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"Thanks for the detailed issue @LSinev ! Indeed, this seems to be a desirable change! \r\n\r\n@Narsil, it looks like we doubled the work, we should choose one of the 2 PRs. :relaxed: ",
"Haha no worries @SaulLu .\r\n\r\nWhichever you prefer as a PR, I don't have a real preference for the test choice. (Yours has m... | 1,643 | 1,643 | 1,643 | CONTRIBUTOR | null | ## Environment info
- `transformers` version: 4.16.1
### Who can help
Library:
- Tokenizers: @SaulLu
- Pipelines: @Narsil
## Information
Model I am using (Bert, XLNet ...): **GPT2Tokenizer**
The problem arises when using:
* [ ] the official example scripts: (give details below)
* [x] my own modified... | {
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https://api.github.com/repos/huggingface/transformers/issues/15439 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15439/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15439/comments | https://api.github.com/repos/huggingface/transformers/issues/15439/events | https://github.com/huggingface/transformers/pull/15439 | 1,119,723,935 | PR_kwDOCUB6oc4x2l7b | 15,439 | Change REALM checkpoint to new ones | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,643 | 1,643 | 1,643 | COLLABORATOR | null | # What does this PR do?
This moves all REALM checkpoints to the Google organization as they have been moved here. | {
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https://api.github.com/repos/huggingface/transformers/issues/15438 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15438/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15438/comments | https://api.github.com/repos/huggingface/transformers/issues/15438/events | https://github.com/huggingface/transformers/pull/15438 | 1,119,709,270 | PR_kwDOCUB6oc4x2ixU | 15,438 | Harder check for IndexErrors in QA scripts | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,643 | 1,643 | 1,643 | COLLABORATOR | null | # What does this PR do?
This falls back by not adding the example when we get an `IndexError` for some obscure reason when trying to get the offsets of a given feature.
Fixes #15401 | {
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https://api.github.com/repos/huggingface/transformers/issues/15437 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15437/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15437/comments | https://api.github.com/repos/huggingface/transformers/issues/15437/events | https://github.com/huggingface/transformers/pull/15437 | 1,119,683,461 | PR_kwDOCUB6oc4x2dIJ | 15,437 | Error when group_by_length is used with an IterableDataset | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,643 | 1,643 | 1,643 | COLLABORATOR | null | # What does this PR do?
Since `group_by_length` is not supported for `IterableDataset`s, we should raise an error at the trainer init when we detect that arg is set and the training set is an `IterableDataset`.
Fixes #15418 | {
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https://api.github.com/repos/huggingface/transformers/issues/15436 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15436/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15436/comments | https://api.github.com/repos/huggingface/transformers/issues/15436/events | https://github.com/huggingface/transformers/pull/15436 | 1,119,679,856 | PR_kwDOCUB6oc4x2cYd | 15,436 | use mean instead of elementwise_mean in XLMPredLayer | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,643 | 1,651 | 1,643 | COLLABORATOR | null | # What does this PR do?
Super tiny change:
`XLMPredLayer` currently uses
```
loss = nn.functional.cross_entropy(
scores.view(-1, self.n_words), y.view(-1), reduction="elementwise_mean"
)
```
I believe `elementwise_mean` is deprecated:
https://github.c... | {
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https://api.github.com/repos/huggingface/transformers/issues/15435 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15435/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15435/comments | https://api.github.com/repos/huggingface/transformers/issues/15435/events | https://github.com/huggingface/transformers/pull/15435 | 1,119,641,681 | PR_kwDOCUB6oc4x2UXp | 15,435 | Fix spurious warning in TF TokenClassification models | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"I think if we use `FutureWarning` they are only printed once, no? Could you check in this instance @Rocketknight1 ?\r\n",
"@sgugger Either `FutureWarning` or `warnings.warn` are correctly only printed once - the problem is that the... | 1,643 | 1,643 | 1,643 | MEMBER | null | This small fix switches `warnings.warn` for `tf.print` in the loss function for TF `TokenClassification` models. When TF compiles a model which has a conditional that depends on values inside a Tensor, it traces both branches. The result of this is that when one of the branches contains a `warnings.warn` statement, tha... | {
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https://api.github.com/repos/huggingface/transformers/issues/15434 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15434/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15434/comments | https://api.github.com/repos/huggingface/transformers/issues/15434/events | https://github.com/huggingface/transformers/pull/15434 | 1,119,632,368 | PR_kwDOCUB6oc4x2SX9 | 15,434 | [Swin] Add missing header | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,643 | 1,643 | 1,643 | CONTRIBUTOR | null | # What does this PR do?
Add missing header to Swin docs. | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,643 | 1,643 | 1,643 | COLLABORATOR | null | # What does this PR do?
This PR adds documentation for the new command `add-new-model-like`. | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@patil-suraj , thanks\r\n\r\nI have reverted the commit"
] | 1,643 | 1,643 | 1,643 | CONTRIBUTOR | null | # What does this PR do?
This PR adds a Colab notebook for fine-tuning Text-2-Text T5 for Named Entity Recognition
@patil-suraj @patrickvonplaten | {
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"Gently pinging @sgugger here. Any idea what could be the problem here? I cannot really reproduce this error",
"Are you sure that in your second run you still had `push_to_hub=True` in your `TrainingArguments`? Because the `repo` arg not defined can only come from there I think.",
"@sgugger From Step3 i used on... | 1,643 | 1,643 | 1,643 | NONE | null | ## Environment info
- `transformers` version: 4.16.1
- Platform: Linux-5.4.0-96-generic-x86_64-with-glibc2.29
- Python version: 3.8.10
- PyTorch version (GPU?): 1.10.0+cu113 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not installed
- ... | {
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https://api.github.com/repos/huggingface/transformers/issues/15430 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15430/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15430/comments | https://api.github.com/repos/huggingface/transformers/issues/15430/events | https://github.com/huggingface/transformers/pull/15430 | 1,119,524,949 | PR_kwDOCUB6oc4x17gx | 15,430 | Update README.md | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thanks for fixing!"
] | 1,643 | 1,643 | 1,643 | CONTRIBUTOR | null | fix typo
# What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/15429 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15429/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15429/comments | https://api.github.com/repos/huggingface/transformers/issues/15429/events | https://github.com/huggingface/transformers/pull/15429 | 1,119,519,720 | PR_kwDOCUB6oc4x16Zy | 15,429 | [RobertaTokenizer] remove inheritance on GPT2Tokenizer | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"The failures are unrelated, merging."
] | 1,643 | 1,643 | 1,643 | MEMBER | null | # What does this PR do?
Continue making tokenizers independent. This PR refactors the `RobertaTokenizer` to remove dependency on `GPT2Tokenizer` | {
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https://api.github.com/repos/huggingface/transformers/issues/15428 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15428/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15428/comments | https://api.github.com/repos/huggingface/transformers/issues/15428/events | https://github.com/huggingface/transformers/pull/15428 | 1,119,477,052 | PR_kwDOCUB6oc4x1xls | 15,428 | [Robust Speech Challenge] Add missing LR parameter | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,643 | 1,643 | 1,643 | CONTRIBUTOR | null | Some participants of the Robust Speech event complain about learning rate issues when training the model with the run_speech_recognition_ctc_bnb.py script. This problem is due to a missing LR parameter on the 8-bit optimizer initialization. This PR fixes this.
@patrickvonplaten | {
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https://api.github.com/repos/huggingface/transformers/issues/15427 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15427/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15427/comments | https://api.github.com/repos/huggingface/transformers/issues/15427/events | https://github.com/huggingface/transformers/pull/15427 | 1,119,465,126 | PR_kwDOCUB6oc4x1vC_ | 15,427 | [XGLM] fix gradient checkpointing | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,643 | 1,643 | 1,643 | MEMBER | null | # What does this PR do?
Adds the missing import statement for `torch.utils.checkpoint`
Fixes #15422 | {
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https://api.github.com/repos/huggingface/transformers/issues/15426 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15426/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15426/comments | https://api.github.com/repos/huggingface/transformers/issues/15426/events | https://github.com/huggingface/transformers/issues/15426 | 1,119,429,371 | I_kwDOCUB6oc5CuSL7 | 15,426 | Higher memory allocation for GPT-2 forward pass when not using past_key_values. | {
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"Hi @LFruth ,\r\n\r\nI think `past_key_values` should never incure more memory usage than without (since it's really a cache of matrices that have to be caculated anyway during inference.).\r\n\r\n\r\nWhat could be at play here, is that you are using custom code, keeping references to old past_key_values, which mea... | 1,643 | 1,685 | 1,646 | NONE | null | I have following problem:
I have a context text as input and then GPT-2 generates a text based on the input.
Currently I do this token for token the following way:
```
model_outputs = model(input_ids=last_token, past_key_values=past)
logits = model_outputs['logits']
past = model_outputs['past_key_values']
# d... | {
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https://api.github.com/repos/huggingface/transformers/issues/15425 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15425/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15425/comments | https://api.github.com/repos/huggingface/transformers/issues/15425/events | https://github.com/huggingface/transformers/pull/15425 | 1,119,427,475 | PR_kwDOCUB6oc4x1nGT | 15,425 | Partial Torch Memory Efficient Attention | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_15425). All of your documentation changes will be reflected on that endpoint.",
"Hey @xloem, thanks a lot for your hard work on this! It is cool to support the attention mechanism as visible in https://github.com/AminRezaei... | 1,643 | 1,646 | 1,646 | CONTRIBUTOR | null | # What does this PR do?
This begins the implementation of a central `attention()` function in modeling_utils.py that calls out to https://github.com/AminRezaei0x443/memory-efficient-attention if configuration parameters are set, to allocate configurably down to O(n) memory rather than O(n^2) memory at the expense of... | {
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https://api.github.com/repos/huggingface/transformers/issues/15424 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15424/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15424/comments | https://api.github.com/repos/huggingface/transformers/issues/15424/events | https://github.com/huggingface/transformers/issues/15424 | 1,119,408,200 | I_kwDOCUB6oc5CuNBI | 15,424 | error when running official run_speech_recognition_ctc.py (ValueError: 'a' cannot be empty unless no samples are taken) | {
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"Hey @StephennFernandes,\r\n\r\nThanks a mille for opening the issue - this PR seems to be related: https://github.com/huggingface/transformers/pull/15423",
"Hey @StephennFernandes,\r\n\r\nCan you try whether the error goes away with the newest `transformers` version?",
"hey @patrickvonplaten i installed tranfr... | 1,643 | 1,646 | 1,646 | 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: 4.17.0.dev0
- Platform:Ubuntu 20.04.3 LTS
- Python version: 3.8.10
- PyTorch version (GPU?):1.10.2+cu113
- T... | {
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https://api.github.com/repos/huggingface/transformers/issues/15423 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15423/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15423/comments | https://api.github.com/repos/huggingface/transformers/issues/15423/events | https://github.com/huggingface/transformers/pull/15423 | 1,119,388,522 | PR_kwDOCUB6oc4x1evT | 15,423 | Update modeling_wav2vec2.py | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,643 | 1,643 | 1,643 | CONTRIBUTOR | null | @patrickvonplaten
With very tiny sound files (less than 0.1 seconds) the num_masked_span can be too long. The issue is described in issue 15366 and discussed with @patrickvonplaten. This can be an issue with custom datasets that contains sentences with small words like "OK", "Yes" etc.
| {
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https://api.github.com/repos/huggingface/transformers/issues/15422 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15422/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15422/comments | https://api.github.com/repos/huggingface/transformers/issues/15422/events | https://github.com/huggingface/transformers/issues/15422 | 1,119,369,261 | I_kwDOCUB6oc5CuDgt | 15,422 | XGLM Bug: break: module 'torch.utils' has no attribute 'checkpoint' | {
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"Hi,\r\nCould you please share a code snippet or colab so I could reproduce this issue? Thanks ",
"I can't share my dataset, but I used this one as the basis for the trainer:\r\n\r\nhttps://github.com/huggingface/transformers/blob/master/examples/pytorch/language-modeling/run_clm.py\r\n\r\nEDIT: Just train any XG... | 1,643 | 1,643 | 1,643 | 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: 4.17.0.dev0
- Platform: Linux-4.9.253-tegra-aarch64-with-glibc2.29
- Python version: 3.8.10
- PyTorch versio... | {
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https://api.github.com/repos/huggingface/transformers/issues/15421 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15421/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15421/comments | https://api.github.com/repos/huggingface/transformers/issues/15421/events | https://github.com/huggingface/transformers/pull/15421 | 1,119,339,760 | PR_kwDOCUB6oc4x1UZu | 15,421 | [Trainer] suppress warning for length-related columns | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"I disagree with this. The column is in the dataset (to speed up the preprocessing) but it then ignored by the Trainer, which warrants something. The logging level is not set at warning, but at info, so the user knows there is nothing... | 1,643 | 1,643 | 1,643 | 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/15420 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15420/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15420/comments | https://api.github.com/repos/huggingface/transformers/issues/15420/events | https://github.com/huggingface/transformers/issues/15420 | 1,119,336,737 | I_kwDOCUB6oc5Ct7kh | 15,420 | Bug in T5 Tokenizer - Adding space after special tokens | {
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"That's a good question! @SaulLu @LysandreJik @n1t0 - do you have an idea by any chance?",
"This seems to be about special tokens:\r\n\r\n```python\r\n # make sure that special tokens are not decoded using sentencepiece model\r\n if token in self.all_special_tokens:\r\n out_st... | 1,643 | 1,652 | 1,652 | CONTRIBUTOR | null | ## Environment info
- `transformers` version: 4.16.1
- Platform: Linux-4.15.0-65-generic-x86_64-with-debian-buster-sid
- Python version: 3.7.11
- PyTorch version (GPU?): 1.10.2+cu102 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not in... | {
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https://api.github.com/repos/huggingface/transformers/issues/15419 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15419/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15419/comments | https://api.github.com/repos/huggingface/transformers/issues/15419/events | https://github.com/huggingface/transformers/pull/15419 | 1,119,245,792 | PR_kwDOCUB6oc4x1Agw | 15,419 | Add option to resize like torchvision's Resize | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Applied all suggestions from your review, I've renamed `torch_resize` (which defaults to `False`) to `default_to_square` (which defaults to `True`).\r\n\r\nI guess we cannot default it to a rectangle, to be backwards compatible? Or c... | 1,643 | 1,643 | 1,643 | CONTRIBUTOR | null | # What does this PR do?
A lot of research papers (like ConvNeXT, PoolFormer, etc.) use [`torchvision.transforms.Resize`](https://pytorch.org/vision/stable/transforms.html#torchvision.transforms.Resize) when preparing images for the model. This class supports providing an integer size, which will only resize the smal... | {
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https://api.github.com/repos/huggingface/transformers/issues/15418 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15418/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15418/comments | https://api.github.com/repos/huggingface/transformers/issues/15418/events | https://github.com/huggingface/transformers/issues/15418 | 1,119,124,701 | I_kwDOCUB6oc5CtHzd | 15,418 | Notify user if group_by_length won't be used | {
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"Yes, that's a great idea! Will add something for that today."
] | 1,643 | 1,643 | 1,643 | NONE | null | @sgugger @stas00 (as suggested in [15196](https://github.com/huggingface/transformers/issues/15196#issuecomment-1024143208))
It is just a minor issue but it could prevent some head-scratching:
Setting `group_by_length` to `True` during training has, as far as I can see, no effect if the provided dataset is a `tor... | {
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https://api.github.com/repos/huggingface/transformers/issues/15417 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15417/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15417/comments | https://api.github.com/repos/huggingface/transformers/issues/15417/events | https://github.com/huggingface/transformers/issues/15417 | 1,119,119,550 | I_kwDOCUB6oc5CtGi- | 15,417 | Support for larger XGLM models | {
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"Hi,\r\n\r\nThere are already 4 variants available: https://huggingface.co/models?other=xglm.\r\n\r\nOnly the 4.5B variant seems to be missing as of now, but pretty sure @patil-suraj is going to add that one as well.",
"As Niels pointed out, all the xglm checkpoints are available on the hub except the 4.5B. I'm h... | 1,643 | 1,643 | 1,643 | NONE | null | According to the official XGLM repo, https://github.com/pytorch/fairseq/tree/main/examples/xglm, there are five versions of XGLM out there. The architecture of the larger XGLM versions is same as the base XGLM, ; why doesn't HF provide support for larger XGLM versions? It seems that currently HF provides support for t... | {
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https://api.github.com/repos/huggingface/transformers/issues/15416 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15416/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15416/comments | https://api.github.com/repos/huggingface/transformers/issues/15416/events | https://github.com/huggingface/transformers/pull/15416 | 1,119,070,544 | PR_kwDOCUB6oc4x0bU8 | 15,416 | Constrained Beam Search [without disjunctive decoding] | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Very cool taking a look now",
"Hey @cwkeam,\r\n\r\nThis already looks like a super clean and impactful addition to the `transformers` library! Great job. I really like how you implement this new generation method in a extendable wa... | 1,643 | 1,644 | 1,644 | CONTRIBUTOR | null | # ~~Disjunctive~~ Positive Constraint Decoding
@patrickvonplaten @Narsil
Fixes #14081,
But without the "disjunctive" component. I think it's a good idea to first integrate this `Constraint` framework before adding more advanced techniques like Disjunctive Decoding, which can arguably be added with ease aft... | {
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https://api.github.com/repos/huggingface/transformers/issues/15415 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15415/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15415/comments | https://api.github.com/repos/huggingface/transformers/issues/15415/events | https://github.com/huggingface/transformers/issues/15415 | 1,118,886,262 | I_kwDOCUB6oc5CsNl2 | 15,415 | Performance of T5 | {
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"I have found that",
"> I have found that\r\n\r\nHi, could you please share how you get to reproduce to results?",
"It's impossible, because the model hasn't been finetune on the translation. The details are on https://github.com/huggingface/transformers/tree/v2.9.0/examples/translation/t5",
"@zzasdf Thanks a... | 1,643 | 1,655 | 1,643 | NONE | null | I'm testing the performance of T5, and want to reproduce the result on WMT English to German newstest2014 in the table 14. But the results I got were always 1 or 2 points lower. Are there any scripts that can reproduce the result with pytorch? | {
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https://api.github.com/repos/huggingface/transformers/issues/15414 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15414/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15414/comments | https://api.github.com/repos/huggingface/transformers/issues/15414/events | https://github.com/huggingface/transformers/pull/15414 | 1,118,704,341 | PR_kwDOCUB6oc4xzMZ1 | 15,414 | [Hotfix] Fix Swin model outputs | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,643 | 1,643 | 1,643 | CONTRIBUTOR | null | # What does this PR do?
This PR:
- fixes some critical outputs of `SwinModel`, to be exactly as `ViTModel`, `BeitModel`, `DeitModel`. More specifically, the `last_hidden_state` previously returned a pooled output, which shouldn't be the case. Instead, the output should be a tensor of shape (batch_size, seq_len, h... | {
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https://api.github.com/repos/huggingface/transformers/issues/15413 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15413/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15413/comments | https://api.github.com/repos/huggingface/transformers/issues/15413/events | https://github.com/huggingface/transformers/pull/15413 | 1,118,674,402 | PR_kwDOCUB6oc4xzG-h | 15,413 | add scores to Wav2Vec2WithLMOutput | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,643 | 1,644 | 1,644 | CONTRIBUTOR | null | # What does this PR do?
<!--
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/15412 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15412/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15412/comments | https://api.github.com/repos/huggingface/transformers/issues/15412/events | https://github.com/huggingface/transformers/issues/15412 | 1,118,639,865 | I_kwDOCUB6oc5CrRb5 | 15,412 | How to use multi-node multi-gpu cluster for large batch beam-search decoding | {
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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://discuss.huggingface.co) instead?\r\n\r\nThanks!",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this stil... | 1,643 | 1,646 | 1,646 | NONE | null | I have a self-implemented-from-scratch torch.nn.Module GPT2 model (self-implemented for custom tweaks to the model) and now I have a 4-node-32-GPU cluster which I like to use to beam-search generate continuation for millions of prefixes. Is there a way to use hugginface as a wrapper to do this in a multi-node-multi-gpu... | {
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https://api.github.com/repos/huggingface/transformers/issues/15411 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15411/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15411/comments | https://api.github.com/repos/huggingface/transformers/issues/15411/events | https://github.com/huggingface/transformers/issues/15411 | 1,118,611,090 | I_kwDOCUB6oc5CrKaS | 15,411 | [JAX/FLAX]: Language modeling example throws RESOURCE_EXHAUSTED error for large datasets | {
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"I've seen the streaming PR approach, but it was closed due to strange pre-training behaviour: https://github.com/huggingface/transformers/pull/12607",
"The `generate_batch_splits` function is used here later:\r\n\r\nhttps://github.com/huggingface/transformers/blob/0f69b924fbda6a442d721b10ece38ccfc6b67275/example... | 1,643 | 1,647 | 1,647 | COLLABORATOR | null | Hi,
I haven't found any similar issue that is related to my `RESOURCE_EXHAUSTED` error, so I'm creating a new issue here.
Problem is: I can use a dataset that is <= 50GB with a certain batch size for BERT or T5 pre-training. It is working fine.
However, if I want to use a larger dataset > 50GB with the **same*... | {
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https://api.github.com/repos/huggingface/transformers/issues/15410 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15410/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15410/comments | https://api.github.com/repos/huggingface/transformers/issues/15410/events | https://github.com/huggingface/transformers/pull/15410 | 1,118,458,131 | PR_kwDOCUB6oc4xydin | 15,410 | Add SegformerFeatureExtractor to Auto API | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,643 | 1,643 | 1,643 | CONTRIBUTOR | null | # What does this PR do?
This PR adds `SegformerFeatureExtractor` to the AutoFeatureExtractor API. | {
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https://api.github.com/repos/huggingface/transformers/issues/15409 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15409/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15409/comments | https://api.github.com/repos/huggingface/transformers/issues/15409/events | https://github.com/huggingface/transformers/pull/15409 | 1,118,344,818 | PR_kwDOCUB6oc4xyILK | 15,409 | Wav2Vec2 models must either throw or deal with add_apater | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Based on the current CI results:\r\n1. This needs reformatting if we want to merge.\r\n2. All the Wav2Vec2-like models should mirror this change.\r\n3. Ideally, a test would be written to ensure this doesn't regress.\r\n\r\nBut I sti... | 1,643 | 1,644 | 1,644 | CONTRIBUTOR | null | Using `Wav2Vec2Model` models with `config.add_adapter=True` as `Wav2Vec2ForCTC` (for instance) doesn't throw on creation, but eventually fails due to mismatch in the output dimension (`config.output_hidden_size`) and the `lm_head` layer put on top of it (`config.output_hidden`).
# What does this PR do?
I propose:... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,643 | 1,643 | 1,643 | CONTRIBUTOR | null | (This is an editorial change only)
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
## Who can review?
- maintained examples (not research project or legacy): @sgugger, @patil-suraj | {
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https://api.github.com/repos/huggingface/transformers/issues/15407 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15407/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15407/comments | https://api.github.com/repos/huggingface/transformers/issues/15407/events | https://github.com/huggingface/transformers/pull/15407 | 1,118,331,612 | PR_kwDOCUB6oc4xyF2j | 15,407 | adds decoding scores to Wav2Vec2DecoderWithLMOutput | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"I'm fine with adding this actually. Is there a reason why you closed the PR? :-)",
"I see a new one was opened: https://github.com/huggingface/transformers/pull/15413/files . never mind"
] | 1,643 | 1,643 | 1,643 | CONTRIBUTOR | null | # What does this PR do?
- Adds `logit_score` and `lm_score` produced by `BeamSearchDecoderCTC` to `Wav2Vec2DecoderWithLMOutput`. Useful for results analysis and pseudo-labeling for self-training.
- Removes padding from batched logits (as returned by `Trainer.predict`) at `batch_decode`. This prevents producing no... | {
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https://api.github.com/repos/huggingface/transformers/issues/15406 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15406/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15406/comments | https://api.github.com/repos/huggingface/transformers/issues/15406/events | https://github.com/huggingface/transformers/pull/15406 | 1,118,320,903 | PR_kwDOCUB6oc4xyD5x | 15,406 | [XGLMTokenizer] fix init and add in AutoTokenizer | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,643 | 1,643 | 1,643 | MEMBER | null | # What does this PR do?
This PR fixes the init of `XGLMTokenizer` and adds it in `AutoTokenizer` mapping.
Fixes #15405
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"Thank you for reporting this issue! The fix is here #15406 "
] | 1,643 | 1,643 | 1,643 | 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: 4.17.0.dev (f380bf2b612e6030ef8bc8904b287d274f035e29)
- Platform: Linux
- Python version: 3.8
- PyTorch ver... | {
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https://api.github.com/repos/huggingface/transformers/issues/15404 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15404/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15404/comments | https://api.github.com/repos/huggingface/transformers/issues/15404/events | https://github.com/huggingface/transformers/issues/15404 | 1,118,256,093 | I_kwDOCUB6oc5Cpzvd | 15,404 | what is the equivalent manner for those lines? | {
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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://discuss.huggingface.co) instead?\r\n\r\nThanks!"
] | 1,643 | 1,645 | 1,645 | NONE | null | null | {
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https://api.github.com/repos/huggingface/transformers/issues/15403 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15403/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15403/comments | https://api.github.com/repos/huggingface/transformers/issues/15403/events | https://github.com/huggingface/transformers/pull/15403 | 1,118,204,647 | PR_kwDOCUB6oc4xxt-F | 15,403 | Correct eos_token_id settings in generate | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Good for me as well!",
"@thinksoso, could you try to adapt the failing test by setting `config.decoder.eos_token_id = None` before running it? :-)",
"> @thinksoso, could you try to adapt the failing test by setting `config.decode... | 1,643 | 1,643 | 1,643 | CONTRIBUTOR | null |
In generation process, if the eos_token_id and config.eos_token_id are both None, use config.decoder.eos_token_id to set eos_token_id
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https://api.github.com/repos/huggingface/transformers/issues/15402 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15402/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15402/comments | https://api.github.com/repos/huggingface/transformers/issues/15402/events | https://github.com/huggingface/transformers/issues/15402 | 1,118,044,093 | I_kwDOCUB6oc5Co_-9 | 15,402 | XLNet config num_labels and _num_labels | {
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"Hello! Could you provide a reproducible code example? I don't manage to reproduce:\r\n```py\r\n>>> from transformers import XLNetConfig\r\n>>> config = XLNetConfig(num_labels=4)\r\n>>> config\r\nXLNetConfig {\r\n \"attn_type\": \"bi\",\r\n \"bi_data\": false,\r\n \"bos_token_id\": 1,\r\n \"clamp_len\": -1,\r\n... | 1,643 | 1,643 | 1,643 | 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/15401 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15401/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15401/comments | https://api.github.com/repos/huggingface/transformers/issues/15401/events | https://github.com/huggingface/transformers/issues/15401 | 1,118,043,713 | I_kwDOCUB6oc5Co_5B | 15,401 | Running SQuAD 1.0 sample command raises `IndexError` | {
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"I was able to reproduce the same issue on another machine with Python 3.9.7 and a different type of GPU.",
"I am not able to reproduce the error, so I have made a blanket fix in the PR linked above. If you have a wait to debug a little bit more and print the values of:\r\n- `len(offset_mapping)`\r\n- `start_inde... | 1,643 | 1,666 | 1,643 | 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: 4.17.0.dev0
- Platform: Linux-5.4.0-91-generic-x86_64-with-glibc2.31
- Python version: 3.9.5
- PyTorch versi... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,643 | 1,643 | 1,643 | CONTRIBUTOR | null | As flagged by https://github.com/huggingface/transformers/issues/15399 the doc had a wrong import instruction so this PR is fixing it. Additionally adding some extra explanatory notes about non-HF Trainer DeepSpeed use.
@sgugger | {
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https://api.github.com/repos/huggingface/transformers/issues/15399 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15399/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15399/comments | https://api.github.com/repos/huggingface/transformers/issues/15399/events | https://github.com/huggingface/transformers/issues/15399 | 1,117,950,014 | I_kwDOCUB6oc5CopA- | 15,399 | [deepspeed] `bigscience/T0*` multi-gpu inference with ZeRO | {
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"My apologies, it looks like I wrote wrong instructions for the non-HF Trainer case here: https://huggingface.co/docs/transformers/master/main_classes/deepspeed#nontrainer-deepspeed-integration - is that where you found this code or in another place. I'm asking so that we ensure it's fixed everywhere.\r\n\r\nIt sho... | 1,643 | 1,664 | 1,643 | NONE | null | ## Environment info
- `transformers` version: 4.17.0.dev0
- Platform: Linux-5.13.0-27-generic-x86_64-with-glibc2.10
- Python version: 3.8.0
- PyTorch version (GPU?): 1.10.1 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not installed
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"I have faced the same issue and I hope patil-suraj could fix the problem because seq2seq models have many applications in QA especially for open domain tasks. This also will standardize the evaluation script for both BART and T5 which is helpful for comparing both performance on QA. Just to add one thing, i notice... | 1,643 | 1,664 | 1,659 | NONE | null | ## Environment info
- `transformers` version: 4.17.0.dev0
- Platform: Linux-5.4.144+-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.7.12
- PyTorch version (GPU?): 1.10.0+cu111 (True)
- Tensorflow version (GPU?): 2.7.0 (True)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not installed
-... | {
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https://api.github.com/repos/huggingface/transformers/issues/15397 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15397/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15397/comments | https://api.github.com/repos/huggingface/transformers/issues/15397/events | https://github.com/huggingface/transformers/issues/15397 | 1,117,687,164 | I_kwDOCUB6oc5Cno18 | 15,397 | [activations] pytorch-1.11+ Tanh Gelu Approximation | {
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"Hi @stas00, may I take a look into this? Below is a list of to-do's I can think of, but of course, there could be more.\r\n\r\n1. Compare output diffs: Using the `torch` version should not affect model output.\r\n2. Review affected models/code: The upstream PR seems to be a drop-in replacement for HF transformers'... | 1,643 | 1,649 | null | CONTRIBUTOR | null | # 🚀 Feature request
As kindly flagged by @vadimkantorov pt-1.11 will have a fast Tanh Gelu Approximation as implemented here https://github.com/pytorch/pytorch/pull/61439 so we could replace our manual implementation with the fast one when pt>=1.11 is detected.
for additional context please see this thread: http... | {
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https://api.github.com/repos/huggingface/transformers/issues/15396 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15396/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15396/comments | https://api.github.com/repos/huggingface/transformers/issues/15396/events | https://github.com/huggingface/transformers/issues/15396 | 1,117,660,723 | I_kwDOCUB6oc5CniYz | 15,396 | ImportError: cannot import name 'ImageGPTFeatureExtractor' from 'transformers' (unknown location) | {
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"Hi,\r\n\r\nWhat's the version of Transformers you have?",
"Hi,\r\n4.5.1.\r\nDo I need to upgrade ?",
"ImageGPT was released in v4.13 I believe",
"Yes, you are right.\r\nThank you very much!"
] | 1,643 | 1,643 | 1,643 | NONE | null | Hi all,
I am running the script in kaggle and face the error mentioned below:
```
----> 1 from transformers import ImageGPTFeatureExtractor, ImageGPTModel
ImportError: cannot import name 'ImageGPTFeatureExtractor' from 'transformers' (unknown location)
```
How could I fix this error?
Thank you! | {
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https://api.github.com/repos/huggingface/transformers/issues/15395 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15395/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15395/comments | https://api.github.com/repos/huggingface/transformers/issues/15395/events | https://github.com/huggingface/transformers/pull/15395 | 1,117,639,600 | PR_kwDOCUB6oc4xv7vr | 15,395 | Make links explicit | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,643 | 1,643 | 1,643 | MEMBER | null | This small change makes the links in the examples `README.md` explicit. Right now the text assumes you're reading it on GitHub, and that you can see the directory tree above. However, the text is copied to https://huggingface.co/docs/transformers/examples where you can't see the directory tree and so can't access any o... | {
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https://api.github.com/repos/huggingface/transformers/issues/15394 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15394/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15394/comments | https://api.github.com/repos/huggingface/transformers/issues/15394/events | https://github.com/huggingface/transformers/pull/15394 | 1,117,577,669 | PR_kwDOCUB6oc4xvvCs | 15,394 | Use argument for preprocessing workers in run_summairzation | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,643 | 1,643 | 1,643 | COLLABORATOR | null | # What does this PR do?
The argument `preprocessing_num_workers` is defined but not used, this PR fixes that.
Fixes #15338 | {
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https://api.github.com/repos/huggingface/transformers/issues/15393 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15393/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15393/comments | https://api.github.com/repos/huggingface/transformers/issues/15393/events | https://github.com/huggingface/transformers/issues/15393 | 1,117,575,880 | I_kwDOCUB6oc5CnNrI | 15,393 | snapshot_download() got an unexpected keyword argument 'allow_regex' | {
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"Hey @gnmarten,\r\n\r\nCould you copy-paste this command and state your` output here: \r\n```bash\r\npython -c \"import huggingface_hub; print(huggingface_hub.__version__)\"\r\n```\r\n\r\nIf your version is lower than 0.4.0 it would be nice if you could upgrade `huggingface_hub`",
"yes, it was <0.4.0, and after u... | 1,643 | 1,693 | 1,646 | 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: 4.16.0
- Platform: Linux-3.10.0-1160.24.1.el7.ug.x86_64-x86_64-with-glibc2.2.5
- Python version: 3.8.6
- PyT... | {
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https://api.github.com/repos/huggingface/transformers/issues/15392 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15392/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15392/comments | https://api.github.com/repos/huggingface/transformers/issues/15392/events | https://github.com/huggingface/transformers/issues/15392 | 1,117,572,081 | I_kwDOCUB6oc5CnMvx | 15,392 | Logits size does not match vocabulary size when using pyctcdecode for a fine-tuned wav2vec 2.0 model | {
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"Hey @iskaj,\r\n\r\nThe problem is that there are 48 tokens in the official vocabulary: https://huggingface.co/Iskaj/xlsr300m_cv_7.0_nl_lm/blob/e0290ad21fd43cf69d9f4de754067c02f9d6641e/vocab.json , but two more in the alphabet of the language model: https://huggingface.co/Iskaj/xlsr300m_cv_7.0_nl_lm/blob/e0290ad21... | 1,643 | 1,677 | 1,643 | NONE | null | ## Environment info
- `transformers` version: 4.17.0.dev0
- Platform: Linux-5.4.0-1063-azure-x86_64-with-glibc2.29
- Python version: 3.8.10
- PyTorch version (GPU?): 1.10.2+cu102 (True)
- Tensorflow version (GPU?): 2.6.0 (True)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not installed
- J... | {
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https://api.github.com/repos/huggingface/transformers/issues/15391 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15391/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15391/comments | https://api.github.com/repos/huggingface/transformers/issues/15391/events | https://github.com/huggingface/transformers/pull/15391 | 1,117,522,112 | PR_kwDOCUB6oc4xvja4 | 15,391 | [Fix doc example] FlaxMarianPreTrainedModel | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@ydshieh `Helsinki-NLP/opus-mt-en-de` already has a flax checkpoint. cf\r\nhttps://huggingface.co/Helsinki-NLP/opus-mt-en-de/blob/main/flax_model.msgpack",
"> @ydshieh `Helsinki-NLP/opus-mt-en-de` already has a flax checkpoint. cf ... | 1,643 | 1,643 | 1,643 | COLLABORATOR | null | # What does this PR do?
Tiny fix:
change
```
>>> tokenizer = MarianTokenizer.from_pretrained("facebook/marian-large-cnn")
```
to
```
>>> tokenizer = MarianTokenizer.from_pretrained("Helsinki-NLP/opus-mt-en-de")
```
BTW, `Helsinki-NLP/opus-mt-en-de` has no Flax model checkpoint. The next line
```
>... | {
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https://api.github.com/repos/huggingface/transformers/issues/15390 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15390/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15390/comments | https://api.github.com/repos/huggingface/transformers/issues/15390/events | https://github.com/huggingface/transformers/issues/15390 | 1,117,486,857 | I_kwDOCUB6oc5Cm38J | 15,390 | can't use with pytorch dataloader | {
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"Please paste the whole code and describe your task in detail",
"@sipie800 Seems like a dimension error while resizing since you are using einsum. If you could share your code I maybe able to help.",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this sti... | 1,643 | 1,646 | 1,646 | NONE | null | RuntimeError: einsum(): the number of subscripts in the equation (3) does not match the number of dimensions (4) for operand 0 and no ellipsis was given | {
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https://api.github.com/repos/huggingface/transformers/issues/15389 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15389/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15389/comments | https://api.github.com/repos/huggingface/transformers/issues/15389/events | https://github.com/huggingface/transformers/issues/15389 | 1,117,361,421 | I_kwDOCUB6oc5CmZUN | 15,389 | Fine Tuned GPT2 model performs very poorly on token classification task | {
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"Hey @Dhanachandra,\r\n\r\nAs this is not an obvious bug, could you please try to make use of the forum: https://discuss.huggingface.co/ here instead?",
"Sorry, @patrickvonplaten, \r\nDue to curiosity to know the reason, I was posting the querry here. ",
"That's totally fine! I hope you'll find some help on the... | 1,643 | 1,674 | 1,643 | NONE | null | ## Environment info
- `transformers` version: 4.17.0.dev0
- Platform: Linux-5.4.144+-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.7.12
- PyTorch version (GPU?): 1.10.0+cu111 (True)
- Tensorflow version (GPU?): 2.7.0 (True)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not installed
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https://api.github.com/repos/huggingface/transformers/issues/15388 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15388/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15388/comments | https://api.github.com/repos/huggingface/transformers/issues/15388/events | https://github.com/huggingface/transformers/pull/15388 | 1,117,321,630 | PR_kwDOCUB6oc4xu4_p | 15,388 | Prepare deprecated ONNX exporter for torch v1.11 | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,643 | 1,643 | 1,643 | MEMBER | null | # What does this PR do?
This PR extends #15270 to ensure the deprecated `transformers.convert_graph_to_onnx` package can also run on `torch` v1.11.
I also took the liberty of adding a deprecation warning to this package.
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https://api.github.com/repos/huggingface/transformers/issues/15387 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15387/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15387/comments | https://api.github.com/repos/huggingface/transformers/issues/15387/events | https://github.com/huggingface/transformers/issues/15387 | 1,117,312,605 | I_kwDOCUB6oc5CmNZd | 15,387 | Evidentiality-guided Generator - Retrieval model | {
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"cc @patil-suraj ",
"I think we could firstly add Fusion-in-Decoder (FiD), [paper](https://arxiv.org/pdf/2007.01282.pdf) and [code](https://github.com/facebookresearch/FiD), since Evidentiality-guided Generator is based on it.",
"Hi everyone, Can I work on adding Fusion-in-Decoder (FiD) to Transformers?",
"Ye... | 1,643 | 1,643 | null | MEMBER | null | # 🌟 New model addition
## Model description
In this paper, we introduce Evidentiality-guided GGenerator, which incorporates evidentiality of passages---whether a passage contains correct evidence to support the output---into training the generator via multi-task learning of answer generation and evidentiality pr... | {
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https://api.github.com/repos/huggingface/transformers/issues/15386 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15386/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15386/comments | https://api.github.com/repos/huggingface/transformers/issues/15386/events | https://github.com/huggingface/transformers/pull/15386 | 1,117,247,061 | PR_kwDOCUB6oc4xupC8 | 15,386 | Adding a test for hashing tokenizer state. | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_15386). All of your documentation changes will be reflected on that endpoint.",
"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... | 1,643 | 1,646 | 1,646 | CONTRIBUTOR | null | # What does this PR do?
Related to https://github.com/huggingface/transformers/issues/14931 and https://github.com/huggingface/datasets/issues/3638
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"_The documentation is not available anymore as the PR was closed or merged._",
"Hmm, I think we can leave those statements @ydshieh no? The don't do any harm, but reduce the memory footprint slightly by not creating the past tensor. The reduced memory footprint might however be neglectible - in this case, ok for... | 1,643 | 1,644 | 1,644 | COLLABORATOR | null | # What does this PR do?
In `TFxxxForForConditionalGeneration` models, there is
```
if inputs["labels"] is not None:
...
inputs["use_cache"] = False
```
while there is no such change in `xxxForForConditionalGeneration` models.
This would fail a more complete pt/tf equivalen... | {
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https://api.github.com/repos/huggingface/transformers/issues/15384 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15384/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15384/comments | https://api.github.com/repos/huggingface/transformers/issues/15384/events | https://github.com/huggingface/transformers/issues/15384 | 1,117,102,911 | I_kwDOCUB6oc5ClaM_ | 15,384 | Unsupported output type of N11onnxruntime22SequenceTensorTypeBaseE. Can't constant fold SequenceEmpty node 'SequenceEmpty_5330' | {
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"Pinging @mfuntowicz for the onnx export.",
"Add\r\nThis error runs fine under onnxruntime, but when deployed to Tensorrt, it will not paser onnx model",
"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 thi... | 1,643 | 1,646 | 1,646 | NONE | null | ## Environment
- `transformers` version:4.16.0.dev0
- Platform:centos7
- Python version:3.6.5
- PyTorch version (GPU?):1.10.1
- CUDA:10.2
- Cudnn:7.65
Models:
- T5, BART, Marian, Pegasus, EncoderDecoder: @patrickvonplaten
Library:
- Text generation: @patrickvonplaten @narsil
## Information
The... | {
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https://api.github.com/repos/huggingface/transformers/issues/15383 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15383/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15383/comments | https://api.github.com/repos/huggingface/transformers/issues/15383/events | https://github.com/huggingface/transformers/issues/15383 | 1,117,027,738 | I_kwDOCUB6oc5ClH2a | 15,383 | Validate models are loadable | {
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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)... | 1,643 | 1,646 | 1,646 | 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. -->
Validating models uploaded to the hub in some way
## Motivation
<!-- Please outline the motivation for the proposal. Is your feature request
relate... | {
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https://api.github.com/repos/huggingface/transformers/issues/15382 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15382/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15382/comments | https://api.github.com/repos/huggingface/transformers/issues/15382/events | https://github.com/huggingface/transformers/pull/15382 | 1,117,018,211 | PR_kwDOCUB6oc4xt5nt | 15,382 | Update modeling_blenderbot.py | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_15382). All of your documentation changes will be reflected on that endpoint.",
"Could you also update this in `modeling_mbart.py` as well, because the encoder and decoder modules are in blenderbot are copied from mbart so ... | 1,643 | 1,646 | 1,646 | NONE | null | Made the `BlenderbotEncoderLayer` have similar optional arguments to the `BlenderbotDecoderLayer` and other classes.
Fixes the `forward` call of the `BlenderbotEncoderLayer`.
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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://discuss.huggingface.co) instead?\r\n\r\ncc @sgugger \r\n\r\nThanks!",
"Hello @pratikchhapolika , \r\nI am using your simple code for a 10-fold cross validation on ... | 1,643 | 1,646 | 1,646 | NONE | null | I am solving binary classification problem using `Roberta-Toxic` model. My classes are highly skewed. ( `2% positive sample` )
I thought to perform `n-fold cross validation`. First thing that came to my mind is used Trainer in loop.
`I initialise the model every-time in the loop.`
Here is the simple code:
... | {
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https://api.github.com/repos/huggingface/transformers/issues/15380 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15380/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15380/comments | https://api.github.com/repos/huggingface/transformers/issues/15380/events | https://github.com/huggingface/transformers/pull/15380 | 1,116,932,103 | PR_kwDOCUB6oc4xtn8d | 15,380 | [docs] fix wrong file name in `pr_check` | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,643 | 1,644 | 1,643 | CONTRIBUTOR | null | # What does this PR do?
This corrects the file name `tests_fetcher.py` in the document of PR check.
@sgugger @LysandreJik | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,643 | 1,643 | 1,643 | COLLABORATOR | null | # What does this PR do?
This PR changes the way `save_pretrained` works for user custom objects when they are registered to an auto API via the the new command `register_for_auto_class`. Here is an example:
```py
# Custom config
from test_model.configuration import NewModelConfig
# Custom model
from test_mode... | {
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https://api.github.com/repos/huggingface/transformers/issues/15378 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15378/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15378/comments | https://api.github.com/repos/huggingface/transformers/issues/15378/events | https://github.com/huggingface/transformers/pull/15378 | 1,116,668,804 | PR_kwDOCUB6oc4xsxxK | 15,378 | Add init to BORT | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Will release a patch with this by tomorrow."
] | 1,643 | 1,643 | 1,643 | MEMBER | null | Adds an `__init__.py` file to the `src/transformers/models/bort` folder so that it can be imported. | {
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"v4.16.0 has this issue changing to v4.15.0 fixed it",
"What command did you run exactly?",
"from transformers import *",
"Thanks for flagging, a fix is on its way :-)",
"Fixing on https://github.com/huggingface/transformers/pull/15378"
] | 1,643 | 1,644 | 1,644 | 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: 4.16.0
- Platform: Linux-5.4.144+-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.7.12
- PyTorch version... | {
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https://api.github.com/repos/huggingface/transformers/issues/15376 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15376/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15376/comments | https://api.github.com/repos/huggingface/transformers/issues/15376/events | https://github.com/huggingface/transformers/pull/15376 | 1,116,484,426 | PR_kwDOCUB6oc4xsLXp | 15,376 | Fix tests_fetcher | {
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] | 1,643 | 1,643 | 1,643 | COLLABORATOR | null | # What does this PR do?
This fixes the `test_fetcher` module which was broken by the "add-new-model-like" PR. The reason is that its test file has some relative imports in example modules that are picked by the test fetcher. | {
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"_The documentation is not available anymore as the PR was closed or merged._"
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,643 | 1,643 | 1,643 | COLLABORATOR | null | # What does this PR do?
Fixes the Keras Callback doc page. | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,643 | 1,643 | 1,643 | MEMBER | null | Super-small PR - some small cosmetic issues were caused by me editing the Keras `logs` dict without realizing that it would get used by Keras again afterwards. | {
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https://api.github.com/repos/huggingface/transformers/issues/15372 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15372/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15372/comments | https://api.github.com/repos/huggingface/transformers/issues/15372/events | https://github.com/huggingface/transformers/issues/15372 | 1,116,298,215 | I_kwDOCUB6oc5CiVvn | 15,372 | Run LayoutXLM without image input not possible | {
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"Hi,\r\n\r\nLayoutXLM, like LayoutLMv2, expects the `image` as input. Internally, LayoutLMv2 (and LayoutXLM) will forward the `image` through their visual backbone, which will serve as additional features in order to make predictions.\r\n\r\nThe `image` is a required input.",
"Hi, thank you for the reply. Should ... | 1,643 | 1,680 | 1,643 | NONE | null | ## Environment info
- `transformers` version: 4.15.0
- Platform:
- Python version: 3.6.9
- PyTorch version (GPU?): 1.8
- Tensorflow version (GPU?): 1.14.0
- Using GPU in script?: yes
- Using distributed or parallel set-up in script?: no
### Who can help
@NielsRogge
## Information
Model I am using (B... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,643 | 1,643 | 1,643 | COLLABORATOR | null | Co-authored-by: osanseviero <osanseviero@gmail.com>
This implements the suggestions I didn't add in #15327 because I forgot to click on a button :-/ | {
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<details>
<summary>Release notes</summary>
<p><em>Sourced from <a href="https://github.com/numpy/numpy/releases">numpy's releases</a>.</em></p>
<blockquote>
<h2>v1.21.0</h2>
<h1>NumPy 1.21.0 Release Notes</h1>
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<summary>Release notes</summary>
<p><em>Sourced from <a href="https://github.com/numpy/numpy/releases">numpy's releases</a>.</em></p>
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"Hey @peregilk, \r\n\r\nI'm happy to look into it! Could you give me a minimal reproducible code example (if the training data is not too huge a simple bash command is fine as well)",
"Hi @patrickvonplaten.\r\nWe are not exactly sure where the error is, but running any the default training scripts with these para... | 1,643 | 1,646 | 1,646 | CONTRIBUTOR | null | @patrickvonplaten @anton-l
We are training Wav2Vec using the run_speech_recognition_ctc_bnb.py-script.
This is working fine with Common Voice datasets, however using our custom dataset and data loader at [NbAiLab/NPSC]( https://huggingface.co/datasets/NbAiLab/NPSC) it crashes after roughly 1 epoch with the follo... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_15365). All of your documentation changes will be reflected on that endpoint.",
"This is present in many more configurations, so if we decide to switch it should be for all of them and not only for three configs.\r\n\r\nHav... | 1,643 | 1,646 | 1,646 | CONTRIBUTOR | null | # What does this PR do?
This PR fixes the initialization of mutable types for Swin Transformer, SegFormer and BEiT (as pointed out by @FrancescoSaverioZuppichini in #15277).
It also fixes a small docs issue for Swin Transformer. | {
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"Pinging @sgugger @patrickvonplaten @patil-suraj for consideration\r\n\r\nAlso pinging @mfuntowicz as I believe this may affect the graph of the models and would like to hear feedback on the request",
"No strong opinion on my side, apart from the fact we would need to be careful not to break anything in any exist... | 1,643 | 1,645 | 1,645 | CONTRIBUTOR | null | # 🚀 Feature request
<!-- A clear and concise description of the feature proposal.
Please provide a link to the paper and code in case they exist. -->
I guess it would be best to ask this first: are there some specific reasons why activation functions in https://github.com/huggingface/transformers/blob/master... | {
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