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"cc @patrickvonplaten @anton-l ",
"Hi @patrickvonplaten @anton-l @NielsRogge @NielsRogge @amyeroberts @patil-suraj \r\nIs this model still available for contribution?\r\nI would like to contribute to this model. Can you please guide me!\r\nLooking forward from hearing from you all!\r\n",
"Hi @02shanks, \r\n\r\n... | 1,645 | 1,695 | null | CONTRIBUTOR | null | # 🌟 New model addition
The TUNet model for audio superresolution
## Model description
[TUNet: A Block-online Bandwidth Extension Model based on Transformers and Self-supervised Pretraining](https://arxiv.org/abs/2110.13492v3) is a paper by Viet-Anh Nguyen, Anh H. T. Nguyen, and Andy W. H. Khong, introducing a... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_15762). 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... | 1,645 | 1,650 | 1,650 | CONTRIBUTOR | null | # What does this PR do?
It makes a simple change so that `FlaxCLIPModel` compatible with the `jax2tf` conversion tool, which currently doesn't support certain types of gather operations. It's explained by a JAX engineer here: https://github.com/google/jax/issues/9572#issuecomment-1047162054
## Who can review?
@pat... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_15761). All of your documentation changes will be reflected on that endpoint.",
"@patrickvonplaten Yes, I was worried about that part as well. It does seem kind of dangerous to allow two different behaviors given the input ... | 1,645 | 1,674 | 1,646 | CONTRIBUTOR | null | # ***Disjunctive*** Positive Constraint Decoding
@patrickvonplaten @Narsil
A follow up to #15416, as a complete fix to #14081, as requested [here](https://github.com/huggingface/transformers/pull/15416#issuecomment-1031803308). On top of the current implementation of constrained beam search, it now allows for th... | {
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https://api.github.com/repos/huggingface/transformers/issues/15760 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15760/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15760/comments | https://api.github.com/repos/huggingface/transformers/issues/15760/events | https://github.com/huggingface/transformers/issues/15760 | 1,146,438,204 | I_kwDOCUB6oc5EVUI8 | 15,760 | Save Finetuned XLM-RoBERTa on Tf-Keras | {
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"cc @gante @Rocketknight1 ",
"Hi @Komalrathod55 👋 The `.save` method saves a myriad of TensorFlow-related objects, which may be tricky to serialize and/or load due to our complex architectures. We recommend using TF's `model.save_weights(\"some_folder/your_model_name.h5\")` (with the `.h5` file extension) to sto... | 1,645 | 1,645 | 1,645 | NONE | null | I am finetuning XLM-RoBERTa for text classification. I am finetuning model on Tensorflow-keras. I have trained model on google colab GPU. I used below save method from keras as shown below to save my model.
```
model.save("/content/drive/MyDrive/TrainedModel")
loaded_model = tf.keras.models.load_model("/content/... | {
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"cc @NielsRogge ",
"@LysandreJik is anyone working on this?? if not can i work on this",
"Hi @IMvision12, because of existing commitments, I am no longer working on this.\n\nIf you want, you can take it up :)",
"@NielsRogge Will it be worthwhile to include this model?"
] | 1,645 | 1,693 | 1,693 | CONTRIBUTOR | null | # 🌟 New model addition
I would like to add the EfficientNet model to the Transformers library
## Model description
EfficientNet was proposed in the paper, **[EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks](https://arxiv.org/abs/1905.11946)**.
EfficientNet is a convolutional neural n... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,645 | 1,645 | 1,645 | CONTRIBUTOR | null | # What does this PR do?
It fixes `HfArgumentParser.__init__` when `dataclass_types` is a generator. Without this, when a generator is passed, after the init it's exhausted so then a call to `parse_args_into_dataclasses` will return a wrong result.
## Before submitting
- [ ] This PR fixes a typo or improves the d... | {
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">**Motivation**\r\nThere is someone working to implement Blenderbot 2.0 into transformers https://github.com/huggingface/transformers/issues/12807#issuecomment-1039315898, yet we still do not have a proper 1.0 export to onnx.\r\n\r\nNice motivation! More seriously though, note that onnx support is optional and is ... | 1,645 | 1,648 | 1,648 | NONE | null | # 🚀 Feature request
Add support to export Blenderbot models to onnx. Please! Or help guide towards a correct direction!
## Motivation
There is someone working to implement Blenderbot 2.0 into transformers [12807](https://github.com/huggingface/transformers/issues/12807#issuecomment-1039315898), yet we still do no... | {
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] | 1,645 | 1,645 | 1,645 | CONTRIBUTOR | null | # What does this PR do?
This PR adds a link to our writing-documentation guide in the add new model guide.
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
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"_The documentation is not available anymore as the PR was closed or merged._",
"LGTM! Maybe wait until tomorrow to merge because people are off, though, and I want to confirm a verbose docstring like this is okay.",
"Tagging @sgugger to check @Rocketknight1's question above ☝️ ",
"Also, don't forget `make st... | 1,645 | 1,645 | 1,645 | MEMBER | null | # What does this PR do?
Small PR that elaborates on the beautiful black magic behind our TF `train_step`. | {
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"Just looked into this and I'm pretty sure the reason is because matrix multiplication is approximated on TPU whereas it is not really on CPU. I'm getting identical results to the ones @sanchit-gandhi has reported above, when the code is run on TPU. \r\n\r\nE.g. if I put your code snippet:\r\n\r\n```py\r\nfrom tran... | 1,645 | 1,645 | 1,645 | CONTRIBUTOR | null | I noticed an absence of PT-Flax cross-tests in the [test file](https://github.com/huggingface/transformers/blob/master/tests/test_modeling_flax_wav2vec2.py) for the FlaxWav2Vec2 model. I was wondering if at any point a layer-by-layer comparison of the PT-Flax hidden-states was performed? I was having a look through for... | {
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https://api.github.com/repos/huggingface/transformers/issues/15753 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15753/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15753/comments | https://api.github.com/repos/huggingface/transformers/issues/15753/events | https://github.com/huggingface/transformers/pull/15753 | 1,145,757,390 | PR_kwDOCUB6oc4zOfTG | 15,753 | TF Train step docstring | {
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"branched from the wrong place 🤦 "
] | 1,645 | 1,645 | 1,645 | MEMBER | null | # What does this PR do?
Small PR that elaborates on the beautiful black magic behind our TF `train_step`. | {
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] | 1,645 | 1,645 | 1,645 | MEMBER | null | # What does this PR do?
This PR updates the Marian model:
1. To allow not sharing embeddings between encoder and decoder.
2. Allow tying only decoder embeddings with `lm_head`.
3. Separate two `vocabs` in `tokenizer` for `src` and `tgt` language
To support this, the PR introduces the following new methods:
- ... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,645 | 1,645 | 1,645 | MEMBER | null | # What does this PR do?
The `create_position_ids_from_inputs_embeds` method does not use the `past_key_values_length` when creating `input_ids` , which creates issues in generation when `use_cache=True`. This PR fixes the `create_position_ids_from_inputs_embeds` method.
Fixes #15736 | {
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https://api.github.com/repos/huggingface/transformers/issues/15750 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15750/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15750/comments | https://api.github.com/repos/huggingface/transformers/issues/15750/events | https://github.com/huggingface/transformers/pull/15750 | 1,145,625,002 | PR_kwDOCUB6oc4zODO1 | 15,750 | Add TFConvNextModel | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"TODO for me before merging:\r\n1. add image size to the model config files (so we can use models that expect 384x384 inputs)\r\n2. convert checkpoints from PT to TF and add them to the FB org\r\n3. check if the docs are in a good sta... | 1,645 | 1,645 | 1,645 | MEMBER | null | This PR adds the ConvNeXt [1] model in TensorFlow. It was developed by @arig23498, @gante, and myself.
Fun facts about this PR:
* Probably the first pure conv model in `transformers`.
* Probably the second pure vision model in TensorFlow in `transformers`.
**References**:
[1] A ConvNet for the 2020s: http... | {
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https://api.github.com/repos/huggingface/transformers/issues/15749 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15749/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15749/comments | https://api.github.com/repos/huggingface/transformers/issues/15749/events | https://github.com/huggingface/transformers/pull/15749 | 1,145,604,665 | PR_kwDOCUB6oc4zN--l | 15,749 | [tests] Improve forward_signature test | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_15749). All of your documentation changes will be reflected on that endpoint.",
"With this approach we're losing coverage of some checks regarding `attention_mask`",
"@LysandreJik can you take a second look? I've improved... | 1,645 | 1,650 | 1,650 | CONTRIBUTOR | null | # What does this PR do?
The `test_forward_signature` test is currently being overridden in 25 model test files, because these models don't expect `input_ids`, but rather `pixel_values` (for vision models) or `input_values` (for speech models).
This PR instead leverages the `main_input_name` to update the test in ... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_15748). All of your documentation changes will be reflected on that endpoint."
] | 1,645 | 1,648 | null | CONTRIBUTOR | null | # What does this PR do?
This PR improves SegFormer by removing the `reshape_last_stage` attribute of the configuration. In fact, this attribute was not needed at all.
Previously, the `reshape_last_stage` argument was set to `False` for `SegformerForImageClassification` models, however it's perfectly fine to resh... | {
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https://api.github.com/repos/huggingface/transformers/issues/15747 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15747/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15747/comments | https://api.github.com/repos/huggingface/transformers/issues/15747/events | https://github.com/huggingface/transformers/pull/15747 | 1,145,323,469 | PR_kwDOCUB6oc4zNEYt | 15,747 | Add PreLN to fsmt module | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_15747). All of your documentation changes will be reflected on that endpoint.",
"cc: @patil-suraj - if you'd like to have another pair of eyes on this PR and also fyi as this will now create a bit of a diversion from your u... | 1,645 | 1,649 | 1,649 | NONE | 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/15746 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15746/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15746/comments | https://api.github.com/repos/huggingface/transformers/issues/15746/events | https://github.com/huggingface/transformers/pull/15746 | 1,145,322,024 | PR_kwDOCUB6oc4zNEGC | 15,746 | Add model specific output classes to PoolFormer model docs | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,645 | 1,645 | 1,645 | CONTRIBUTOR | null | # What does this PR do?
This PR adds 2 model-specific outputs (defined in the `modeling_poolformer.py`) to the PoolFormer docs - `PoolFormerModelOutput` and `PoolFormerClassifierOutput`
## Who can review?
@NielsRogge | {
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https://api.github.com/repos/huggingface/transformers/issues/15745 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15745/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15745/comments | https://api.github.com/repos/huggingface/transformers/issues/15745/events | https://github.com/huggingface/transformers/issues/15745 | 1,145,136,009 | I_kwDOCUB6oc5EQWOJ | 15,745 | BertForSequenceClassification defines criterion at every forward pass | {
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"I'm planning to post a pull-request, If someone from the official contributors confirms that this is a bug\r\nBecause I'm still not sure if this is a bug or my understanding is un-clear",
"Ok, I myself found a quick-fix for this\r\n\r\nIf we don't want to create `CrossEntropyLoss`'s instance at every forward ste... | 1,645 | 1,645 | 1,645 | NONE | null | ## Environment info
I don't think, That any environmental info will be helpful in my issue
### Who can help
@LysandreJik, Can you look into the code ?
I just want anyone to have a look here https://github.com/huggingface/transformers/blob/master/src/transformers/models/bert/modeling_bert.py#L1579
`loss_fct =... | {
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https://api.github.com/repos/huggingface/transformers/issues/15744 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15744/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15744/comments | https://api.github.com/repos/huggingface/transformers/issues/15744/events | https://github.com/huggingface/transformers/issues/15744 | 1,145,127,479 | I_kwDOCUB6oc5EQUI3 | 15,744 | Problems loading csv dataset in examples `run_summarization.py` | {
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"Hi @PhilipMay \r\n\r\nThis part of code https://github.com/huggingface/transformers/blob/a63bd3675f3fa1a6154c8bf1d085c66eaea67e56/examples/pytorch/summarization/run_summarization.py#L347-L358\r\n\r\nhandles loading `csv` or `json` files. It also handles train and valid and test splits. Have you tried passing the `... | 1,645 | 1,645 | 1,645 | CONTRIBUTOR | null | Hi,
the following lines in `run_summarization.py` have some issues.
https://github.com/huggingface/transformers/blob/2c2a31ffbcfe03339b1721348781aac4fc05bc5e/examples/pytorch/summarization/run_summarization.py#L344-L346
According to the datasets documentation a csv dataset is loaded by providing `data_files`. ... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_15743). 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... | 1,645 | 1,650 | 1,650 | NONE | null | # Fix a documentation error in Trainer.predict
Fixes # (issue)
## Before submitting
- [*] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [*] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/master/CONTRIBUTING... | {
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https://api.github.com/repos/huggingface/transformers/issues/15742 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15742/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15742/comments | https://api.github.com/repos/huggingface/transformers/issues/15742/events | https://github.com/huggingface/transformers/issues/15742 | 1,145,095,964 | I_kwDOCUB6oc5EQMcc | 15,742 | Documentation error in Trainer.predict when output_hidden_states is True | {
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"pull request #15743 provides the suggested documentation change.",
"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](ht... | 1,645 | 1,648 | 1,648 | 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: macOS-11.4-x86_64-i386-64bit
- Python version: 3.9.8
- PyTorch version (GPU?): 1.10.... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,645 | 1,645 | 1,645 | CONTRIBUTOR | null | # What does this PR do?
Before, the input and target would be after doing the none-check preprocessing step, making that preprocessing step redundant. This was an error and is fixed in this commit.
<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going t... | {
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https://api.github.com/repos/huggingface/transformers/issues/15740 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15740/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15740/comments | https://api.github.com/repos/huggingface/transformers/issues/15740/events | https://github.com/huggingface/transformers/pull/15740 | 1,145,034,809 | PR_kwDOCUB6oc4zMMEF | 15,740 | Fix minor comment typos | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,645 | 1,645 | 1,645 | CONTRIBUTOR | null | Fixes to comment typos | {
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https://api.github.com/repos/huggingface/transformers/issues/15739 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15739/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15739/comments | https://api.github.com/repos/huggingface/transformers/issues/15739/events | https://github.com/huggingface/transformers/issues/15739 | 1,144,965,007 | I_kwDOCUB6oc5EPseP | 15,739 | Add compatibility for Postponed Evaluation of Annotations (PEP 563) | {
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"Hey! We don't have to do the bandwidth to do it right now, but we'd welcome contributions! Let me tag this as a first good issue, and let me know if you're interested in taking a stab at it!",
"I'm glad to help with that, maybe it'll take some time. I never contribute here, I'll try to follow the CONTRIBUTING.md... | 1,645 | 1,647 | 1,647 | CONTRIBUTOR | null | Hello,
The code says that it will add compatibility for Postponed Evaluation of Annotations ([PEP 563](https://www.python.org/dev/peps/pep-0563/)) when Python 3.9 is released (which already happened on 2020.10.5). Is there any plan to complete this?
https://github.com/huggingface/transformers/blob/2c2a31ffbcfe033... | {
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https://api.github.com/repos/huggingface/transformers/issues/15738 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15738/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15738/comments | https://api.github.com/repos/huggingface/transformers/issues/15738/events | https://github.com/huggingface/transformers/issues/15738 | 1,144,922,208 | I_kwDOCUB6oc5EPiBg | 15,738 | Can I training an XLM model from scratch by transformers? | {
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"Hey @thomas-li-sjtu, you definitely can. I recommend that you check out [this HF blog post](https://huggingface.co/blog/how-to-train). Although the article doesn't use XLM, the process should roughly look the same.\r\n\r\nAlso, a gentle reminder to use the [discussion forum](https://discuss.huggingface.co) for inq... | 1,645 | 1,648 | 1,648 | NONE | null | How can I pretain XLM by transformers? Any example? Please. | {
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https://api.github.com/repos/huggingface/transformers/issues/15737 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15737/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15737/comments | https://api.github.com/repos/huggingface/transformers/issues/15737/events | https://github.com/huggingface/transformers/pull/15737 | 1,144,899,973 | PR_kwDOCUB6oc4zLy92 | 15,737 | [WIP] Integrate OSLO for tensor parallelism support | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_15737). All of your documentation changes will be reflected on that endpoint.",
"To-do's for self-documentation:\r\n\r\n- [ ] Revisit `should_save`\r\n- [ ] Test with DDP and FairScale\r\n- [ ] Think about how to toggle `me... | 1,645 | 1,648 | 1,648 | CONTRIBUTOR | null | # What does this PR do?
This PR integrates [OSLO](https://github.com/tunib-ai/oslo) in a similar fashion to DeepSpeed. OSLO enables tensor parallelism and kernel fusion, among others.
## To-do
- [ ] Tests
- [ ] Adding OSLO as dependency
- [ ] Review/discuss model save logic
## Who can review?
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https://api.github.com/repos/huggingface/transformers/issues/15736 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15736/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15736/comments | https://api.github.com/repos/huggingface/transformers/issues/15736/events | https://github.com/huggingface/transformers/issues/15736 | 1,144,883,446 | I_kwDOCUB6oc5EPYj2 | 15,736 | `XGLMForCausalLM` does not compute `position_ids` correctly when using `inputs_embeds` | {
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"Good catch! Fix is here #15751"
] | 1,645 | 1,645 | 1,645 | 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: 4.17.0.dev0
- Platform: Linux-5.4.144+-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.7.12
- PyTorch ve... | {
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https://api.github.com/repos/huggingface/transformers/issues/15735 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15735/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15735/comments | https://api.github.com/repos/huggingface/transformers/issues/15735/events | https://github.com/huggingface/transformers/issues/15735 | 1,144,829,519 | I_kwDOCUB6oc5EPLZP | 15,735 | `DebertaTokenizer` always assigns token type ID 0 | {
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"Looks like this is the change that introduced this behavior.\r\n\r\nhttps://github.com/huggingface/transformers/commit/57c1749efabf5c86bcfd4e4e078567a63a7c8a81#diff-7ff4f35b72b8541520ea52c851b55bc2682da83e01e6e0ceeb5289f7dd2f0620R217\r\n",
"Good catch! Would you like to open a PR to fix this?",
"I'll give this... | 1,645 | 1,651 | 1,651 | NONE | null | ## Environment info
- `transformers` version: 4.16.2
- Platform: Linux-5.15.13-051513-generic-x86_64-with-glibc2.34
- Python version: 3.9.7
- PyTorch version (GPU?): 1.9.0+cu111 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not install... | {
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https://api.github.com/repos/huggingface/transformers/issues/15734 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15734/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15734/comments | https://api.github.com/repos/huggingface/transformers/issues/15734/events | https://github.com/huggingface/transformers/issues/15734 | 1,144,808,323 | I_kwDOCUB6oc5EPGOD | 15,734 | Self attention in T5 decoder does not work as expected | {
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"@patrickvonplaten @patil-suraj @sgugger @stas00 ",
"I have tracked the mask it was generated normally. I even tried to decrease the[ masking value ](https://github.com/huggingface/transformers/blob/db7d6a80e82d66127b2a44b6e3382969fdc8b207/src/transformers/modeling_utils.py#L307)from -10000 to -10000000000 . The ... | 1,645 | 1,668 | 1,650 | NONE | null | Hello!
I have been struggling with this problem for a while. I was trying to train T5 using just 2 layers in the encoder and 2 layers in the decoder from scratch on MLM task. Drawing self-attention of the decoder I saw that the attention weights from the first epoch are not masked properly. where the max_seq_length o... | {
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https://api.github.com/repos/huggingface/transformers/issues/15733 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15733/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15733/comments | https://api.github.com/repos/huggingface/transformers/issues/15733/events | https://github.com/huggingface/transformers/issues/15733 | 1,144,805,935 | I_kwDOCUB6oc5EPFov | 15,733 | TokenizerFast.from_file() is stuck when loading a large tokenizer.json with tokens added and "pre-trained" starting from an existing, trained model | {
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"Some more context: I figured out how to a) enable logs b) switch to the \"slow\" (i.e. Python only) tokenizer - it is as simple as:\r\n\r\n```python\r\nAutoTokenizer.from_pretrained(…, use_fast=False, verbose=True)\r\n```\r\n\r\nThat way:\r\n* its now clear what's happening when the CPU runs at 100% for so long ti... | 1,645 | 1,648 | 1,648 | NONE | null | ## Environment info
- OS: Macos Monterey, v12.2.1, Macbook Pro M1; the issue also occurred when the program has been executed using Ubuntu 20.04 LTS, hosted both on Linode and Paperspace
- `transformers` version: 4.16.0.dev0
- Platform: macOS-10.16-x86_64-i386-64bit
- Python version: 3.8.12
- PyTorch version (GP... | {
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https://api.github.com/repos/huggingface/transformers/issues/15732 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15732/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15732/comments | https://api.github.com/repos/huggingface/transformers/issues/15732/events | https://github.com/huggingface/transformers/pull/15732 | 1,144,624,714 | PR_kwDOCUB6oc4zK8WY | 15,732 | Deberta v2 code simplification | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_15732). All of your documentation changes will be reflected on that endpoint.",
"Hello @LysandreJik , @BigBird01 ,\r\nAs discussed a couple of weeks back I wanted to reach out to see if any further work would be required on... | 1,645 | 1,647 | 1,647 | CONTRIBUTOR | null | # What does this PR do?
This PR simplifies and fixes the code for the DeBERTa V2 disentangled attention bias calculation:
1. Removes a spurious substraction of the type `x - x` always resulting in 0
2. Fixes condition checking for the attention type and attention score calculation. In the current version, the addi... | {
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https://api.github.com/repos/huggingface/transformers/issues/15731 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15731/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15731/comments | https://api.github.com/repos/huggingface/transformers/issues/15731/events | https://github.com/huggingface/transformers/pull/15731 | 1,143,881,324 | PR_kwDOCUB6oc4zIN4A | 15,731 | 🧼 NLP task guides | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,645 | 1,645 | 1,645 | MEMBER | null | A clean commit of the NLP task guides #15564 😭 | {
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https://api.github.com/repos/huggingface/transformers/issues/15730 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15730/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15730/comments | https://api.github.com/repos/huggingface/transformers/issues/15730/events | https://github.com/huggingface/transformers/pull/15730 | 1,143,829,142 | PR_kwDOCUB6oc4zIB-g | 15,730 | Add layer_idx to CrossAttention of GPT2 model | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Looks good, thanks!\r\n\r\nOnce being approved by patrickvonplaten/LysandreJik/sgugger , could you also apply the same change to `modeling_imagegpt.py`, please:\r\n\r\nhttps://github.com/huggingface/transformers/blob/2c2a31ffbcfe0333... | 1,645 | 1,645 | 1,645 | CONTRIBUTOR | null | When I tried `EncoderDecoderModel` with GPT2 model + `_upcast_and_reordered_attn`, cross attention layer did not have `layer_idx`, so the following error occured.
```
t2.py", line 240, in _upcast_and_reordered_attn
scale_factor /= float(self.layer_idx + 1)
TypeError: unsupported operand type(s) for +: 'NoneTy... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,645 | 1,645 | 1,645 | MEMBER | null | These docker images will be built on a daily basis to be re-used by the CI.
Additional docker images will be built for Torch versions in [1.4-1.10] and TensorFlow versions in [2.3-2.7]. | {
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https://api.github.com/repos/huggingface/transformers/issues/15728 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15728/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15728/comments | https://api.github.com/repos/huggingface/transformers/issues/15728/events | https://github.com/huggingface/transformers/pull/15728 | 1,143,820,104 | PR_kwDOCUB6oc4zH_5f | 15,728 | [Test refactor 4/5] Improve the scheduled tests | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Very cool!",
"Looks good to me! Also great that all `generation` tests from `test_generation_utils.py` are run! The errors:\r\n\r\n```\r\nImportError: cannot import name 'json' from 'itsdangerous' (/usr/local/lib/python3.8/dist-pac... | 1,645 | 1,645 | 1,645 | MEMBER | null | The scheduled tests now leverage a docker container pre-built two hours earlier than this run by the CI.
It generates a job for each folder in the `tests` folder. | {
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https://api.github.com/repos/huggingface/transformers/issues/15727 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15727/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15727/comments | https://api.github.com/repos/huggingface/transformers/issues/15727/events | https://github.com/huggingface/transformers/pull/15727 | 1,143,820,022 | PR_kwDOCUB6oc4zH_4P | 15,727 | [Test refactor 3/5] Notification service improvement | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Lysandre, you're still summing up one+many on top of the new preview (categories) - this is confusing/misleading since most of the time it's the same error that happens on both setups and shouldn't be counted twice.\r\n\r\nand why no... | 1,645 | 1,645 | 1,645 | MEMBER | null | This improves the notification service in Slack to provide a more comprehensive view over the tests.
Previously:
<img width="493" alt="image" src="https://user-images.githubusercontent.com/30755778/154765757-8ea3f016-b2df-471b-b161-2a31e67effe2.png">
Now:
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https://api.github.com/repos/huggingface/transformers/issues/15726 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15726/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15726/comments | https://api.github.com/repos/huggingface/transformers/issues/15726/events | https://github.com/huggingface/transformers/pull/15726 | 1,143,819,889 | PR_kwDOCUB6oc4zH_2Q | 15,726 | [Test refactor 2/5] Tests fetcher | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,645 | 1,645 | 1,645 | MEMBER | null | This PR adapts the tests fetcher and the `check_repo` script to behave nicely with the subfolders. | {
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https://api.github.com/repos/huggingface/transformers/issues/15725 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15725/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15725/comments | https://api.github.com/repos/huggingface/transformers/issues/15725/events | https://github.com/huggingface/transformers/pull/15725 | 1,143,819,722 | PR_kwDOCUB6oc4zH_zy | 15,725 | [Test refactor 1/5] Per-folder tests reorganization | {
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"conftest needs edit if you are moving it, this part:\r\n```\r\ngit_repo_path = abspath(join(dirname(dirname(__file__)), \"src\"))\r\nsys.path.insert(1, git_repo_path)\r\n```\r\nit is looking for the root dir there.\r\n\r\nthe new code should be:\r\n\r\n```\r\ngit_repo_path = abspath(join(dirname(__file__), \"src\"... | 1,645 | 1,646 | 1,645 | MEMBER | null | This PR separates the test files in independant folders so that testing may be broken down in smaller parts. The test files for each model are moved in their corresponding folder (e.g., `bert`, `bart`, `plbart`, ...), and others are moved to descriptive directories so that no test file is at the root of the test folder... | {
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https://api.github.com/repos/huggingface/transformers/issues/15724 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15724/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15724/comments | https://api.github.com/repos/huggingface/transformers/issues/15724/events | https://github.com/huggingface/transformers/issues/15724 | 1,143,531,846 | I_kwDOCUB6oc5EKOlG | 15,724 | Need more understanding of the function: get_visual_embeddings(image_path) | {
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"Hey @dheeman00!\r\n\r\nYou should check out the following complete example for a fully working pipeline with VisualBERT: https://github.com/huggingface/transformers/tree/master/examples/research_projects/visual_bert\r\n\r\ncc @gchhablani",
"Hey @LysandreJik \r\n\r\nI looked into the repo. But I think I found a b... | 1,645 | 1,648 | 1,648 | NONE | null | Dear Developers
I was looking through the code for image embedding and found this section of the code in the visual_bert:
# this is a custom function that returns the visual embeddings given the image path
visual_embeds = get_visual_embeddings(image_path)
This is a user-defined function. But I want to know wh... | {
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https://api.github.com/repos/huggingface/transformers/issues/15723 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15723/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15723/comments | https://api.github.com/repos/huggingface/transformers/issues/15723/events | https://github.com/huggingface/transformers/pull/15723 | 1,143,465,782 | PR_kwDOCUB6oc4zGvrf | 15,723 | [WIP] [doc] performance/scalability revamp | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_15723). All of your documentation changes will be reflected on that endpoint.",
"Hi @stas00, first stab at the single GPU section. The text is still WIP but you could have look at the sections and rough content to see if yo... | 1,645 | 1,652 | 1,652 | CONTRIBUTOR | null | moved from https://github.com/huggingface/transformers/pull/15213 so that we get the doc generator working
XXX: The previous PR has comments/suggestions that need to be integrated here
-----------------
@lvwerra and I are working on a massive performance/scalability docs revamp:
So the rough plan is to make... | {
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https://api.github.com/repos/huggingface/transformers/issues/15722 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15722/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15722/comments | https://api.github.com/repos/huggingface/transformers/issues/15722/events | https://github.com/huggingface/transformers/pull/15722 | 1,143,269,167 | PR_kwDOCUB6oc4zGD4w | 15,722 | Revert changes in logit size for semantic segmentation models | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,645 | 1,645 | 1,645 | COLLABORATOR | null | # What does this PR do?
This PR reverts the changes made in the size of the returned logits of semantic segmentation models made in #15469 because it leads in some situations to two consecutive resizes:
- one to resize the output to the same size of the input
- one to resize the output to the size of the original ... | {
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https://api.github.com/repos/huggingface/transformers/issues/15721 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15721/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15721/comments | https://api.github.com/repos/huggingface/transformers/issues/15721/events | https://github.com/huggingface/transformers/pull/15721 | 1,143,256,277 | PR_kwDOCUB6oc4zGBCC | 15,721 | Add missing PLBart entry in README | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"I don't see the change in the main README. Also it's not part of the doc, so you have to use the full link to the master doc."
] | 1,645 | 1,645 | 1,645 | CONTRIBUTOR | null | # What does this PR do?
This PR fixes the missing entry for PLBart (See #13269) in the index.
@sgugger @patil-suraj @patrickvonplaten @LysandreJik | {
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https://api.github.com/repos/huggingface/transformers/issues/15720 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15720/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15720/comments | https://api.github.com/repos/huggingface/transformers/issues/15720/events | https://github.com/huggingface/transformers/issues/15720 | 1,143,133,432 | I_kwDOCUB6oc5EItT4 | 15,720 | Drop support for Python 3.6 | {
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"Why deliberately drop support? If people are stuck on 3.6 for whatever reason it will be nice for them to be able to use it as long as it lasts.",
"Python 3.6 is EOL now. Do we still want to retain support for it?",
"> Why deliberately drop support? If people are stuck on 3.6 for whatever reason it will be ni... | 1,645 | 1,652 | 1,652 | CONTRIBUTOR | null | Drop support for Python 3.6 as it is EOL | {
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https://api.github.com/repos/huggingface/transformers/issues/15719 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15719/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15719/comments | https://api.github.com/repos/huggingface/transformers/issues/15719/events | https://github.com/huggingface/transformers/pull/15719 | 1,143,077,852 | PR_kwDOCUB6oc4zFY4U | 15,719 | style_doc handles decorators in examples | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,645 | 1,645 | 1,645 | COLLABORATOR | null | # What does this PR do?
This fixes the issue encountered in #15564 and make the `style_doc` util handle the decorators properly. | {
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https://api.github.com/repos/huggingface/transformers/issues/15718 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15718/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15718/comments | https://api.github.com/repos/huggingface/transformers/issues/15718/events | https://github.com/huggingface/transformers/pull/15718 | 1,142,794,557 | PR_kwDOCUB6oc4zEZWe | 15,718 | Fix SiluActivation | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,645 | 1,645 | 1,645 | COLLABORATOR | null | # What does this PR do?
This PR fixes the `SiLUActivation` class which was missing a call to the super init. It also removed unnecessary inits that just call the superclass. | {
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https://api.github.com/repos/huggingface/transformers/issues/15717 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15717/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15717/comments | https://api.github.com/repos/huggingface/transformers/issues/15717/events | https://github.com/huggingface/transformers/pull/15717 | 1,142,755,684 | PR_kwDOCUB6oc4zEQ3s | 15,717 | revert temporary addition to test next version of CLIPTokenizerFast | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@SaulLu We should also update this for other CLIP checkpoints too, no ?\r\nhttps://huggingface.co/openai/clip-vit-base-patch16\r\nhttps://huggingface.co/openai/clip-vit-large-patch14",
"Yes! I didn't know if the tokenizer are exact... | 1,645 | 1,646 | 1,645 | CONTRIBUTOR | null | # What does this PR do?
This PR aims to change the repository used to test `CLIPTokenizerFast`.
As part of the `CLIPTokenizerFast` bug fix in this PR #15067, instead of testing the tokenizer of the repo [openai/clip-vit-base-patch32](https://huggingface.co/openai/clip-vit-base-patch32) we had made a temporary cha... | {
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https://api.github.com/repos/huggingface/transformers/issues/15716 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15716/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15716/comments | https://api.github.com/repos/huggingface/transformers/issues/15716/events | https://github.com/huggingface/transformers/issues/15716 | 1,142,722,587 | I_kwDOCUB6oc5EHJAb | 15,716 | Converting mBART to ONNX format | {
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"cc @lewtun ",
"Hey @rumeshmadhusanka thanks for raising this issue! The error indicates that the numerical agreement between the raw and ONNX models is larger than ~3.6e-5. \r\n\r\nWe try to pick good defaults in the library, but in some cases you get this disagreement. You can tweak the required agreement by se... | 1,645 | 1,645 | 1,645 | 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: 4.16.2
- 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/15715 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15715/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15715/comments | https://api.github.com/repos/huggingface/transformers/issues/15715/events | https://github.com/huggingface/transformers/issues/15715 | 1,142,694,505 | I_kwDOCUB6oc5EHCJp | 15,715 | Trainer can't estimate SpeechEncoderDecoder tokens for `floating_point_ops` | {
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"I don't think this can be solved since the model input name is not always the same. You can just ignore the warning.\r\n\r\ncc @patrickvonplaten for the model input name, to see if there is a way to fix it.",
"@OllieBroadhurst, \r\n\r\nI think we could solve this if we rename `input_values` to `inputs` in the sp... | 1,645 | 1,645 | 1,645 | 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: 4.16.2
- Platform: Ubuntu
- Python version: 3.7
- PyTorch version (GPU?): 1.9
- Tensorflow version (GPU?): ... | {
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https://api.github.com/repos/huggingface/transformers/issues/15714 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15714/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15714/comments | https://api.github.com/repos/huggingface/transformers/issues/15714/events | https://github.com/huggingface/transformers/issues/15714 | 1,142,628,297 | I_kwDOCUB6oc5EGx_J | 15,714 | Misplaced sentence in https://api-inference.huggingface.co/docs/curl/html/detailed_parameters.html#question-answering-task | {
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"Thank you for flagging this, @ToonTalk. I've forwarded the issue internally and I will let you know of the outcome :)",
"Thank you for reporting this ! @ToonTalk ",
"(Fixed in the docs)"
] | 1,645 | 1,645 | 1,645 | NONE | null | "a string to be translated in the original languages" appears in the description of the question answering documentation. | {
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https://api.github.com/repos/huggingface/transformers/issues/15713 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15713/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15713/comments | https://api.github.com/repos/huggingface/transformers/issues/15713/events | https://github.com/huggingface/transformers/issues/15713 | 1,142,444,213 | I_kwDOCUB6oc5EGFC1 | 15,713 | add image2text generation | {
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"Have you tried [Vision Encoder Decoder](https://huggingface.co/docs/transformers/model_doc/vision-encoder-decoder)?"
] | 1,645 | 1,645 | null | NONE | null | add image2text generation | {
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https://api.github.com/repos/huggingface/transformers/issues/15712 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15712/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15712/comments | https://api.github.com/repos/huggingface/transformers/issues/15712/events | https://github.com/huggingface/transformers/issues/15712 | 1,142,419,076 | I_kwDOCUB6oc5EF-6E | 15,712 | Error while finetuning XLM-R on Tensorflow-Keras | {
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"Hi @Komalrathod55 👋 Can you share the entire script (or give me a link to your colab), so I can have the entire context to check your issue? 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 addressed please comment on... | 1,645 | 1,648 | 1,648 | NONE | null | Hello,
I am trying to finetune XLM-RoBERTa for text classification on tensorflow-keras. I have used XLMRobertaTokenizer base to tokenize the inputs. vocab_size in config file for XLM-R model is 250002 and for Roberta it is 50265. But while training I am getting below error. Can anyone help me to solve this?
I am ... | {
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https://api.github.com/repos/huggingface/transformers/issues/15711 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15711/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15711/comments | https://api.github.com/repos/huggingface/transformers/issues/15711/events | https://github.com/huggingface/transformers/pull/15711 | 1,142,303,010 | PR_kwDOCUB6oc4zCrvW | 15,711 | Fix `HfDeepSpeedConfig` argument in `Trainer` | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"With DS please remember the live CI doesn't run any of DS tests as it doesn't have GPUs. So they only run nightly, so it's best to run the tests locally if you have at least one gpu.\r\n```\r\nRUN_SLOW=1 pytest tests/deepspeed\r\n```... | 1,645 | 1,645 | 1,645 | CONTRIBUTOR | null | # What does this PR do?
`HfDeepSpeedConfig` accepts a dictionary or a path to `.json` file containing DeepSpeed configurations. However, `self.args` is a `TrainingArgument` object. This PR replaces `self.args` with `self.args.deepspeed`.
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you... | {
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"@coyotte508 I'm getting this error, do you have an idea where it might come from?\r\n\r\n```\r\nInstalling node dependencies\r\nBuilding HTML files. This will take a while :-)\r\nTraceback (most recent call last):\r\n File \"/usr/local/bin/doc-builder\", line 33, in <module>\r\n sys.exit(load_entry_point('doc-... | 1,645 | 1,646 | 1,646 | MEMBER | null | Removes the need to have a self-hosted machine to build the dev documentation. | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,645 | 1,645 | 1,645 | MEMBER | null | Fixes some tests with auto models: the h5py version check should not be a requirement and the error should be reflected by our tools failing our tests rather than a test of the absolute version. | {
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https://api.github.com/repos/huggingface/transformers/issues/15705 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15705/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15705/comments | https://api.github.com/repos/huggingface/transformers/issues/15705/events | https://github.com/huggingface/transformers/issues/15705 | 1,141,978,382 | I_kwDOCUB6oc5EETUO | 15,705 | AutoModelForSequenceClassification not learning if model is initialized inside a function scope | {
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"Hey @JAugusto97, can you provide a full script or a reproducible Colab notebook? Reading the code I don't see why it shouldn't work. ",
"It might have been global variables interfering somewhere, when I tried to reproduce in a new notebook it worked 🤔 \r\nThanks anyway!"
] | 1,645 | 1,645 | 1,645 | NONE | null | Hey,
I've made a simple function to initialize a bert model for sequence classification, an optimizer and a scheduler, but my model wasn't learning anything. After a lot of debugging, I found out that if I execute the same piece of code OUT of the function scope, the model learns.
```
def initialize_model(pretra... | {
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https://api.github.com/repos/huggingface/transformers/issues/15704 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15704/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15704/comments | https://api.github.com/repos/huggingface/transformers/issues/15704/events | https://github.com/huggingface/transformers/pull/15704 | 1,141,961,908 | PR_kwDOCUB6oc4zBfLe | 15,704 | TF text classification examples | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,645 | 1,645 | 1,645 | MEMBER | null | # What does this PR do?
This PR updates the text classification examples to use the more modern `to_tf_dataset()` method, as opposed to a custom function. A few minor fixes were added as I navigated related files.
Example of running command: `python run_glue.py --model_name_or_path distilbert-base-cased --task_na... | {
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https://api.github.com/repos/huggingface/transformers/issues/15703 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15703/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15703/comments | https://api.github.com/repos/huggingface/transformers/issues/15703/events | https://github.com/huggingface/transformers/issues/15703 | 1,141,607,625 | I_kwDOCUB6oc5EC4zJ | 15,703 | Fine-Tune DETR on custom dataset (less than 250 labels) | {
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"Hi,\r\n\r\nThanks for your interest in DETR. However, we'd like to keep Github issues on the Transformers repository for bugs/feature requests.\r\n\r\nFor training-related questions, please use our [forum](https://discuss.huggingface.co/).\r\n\r\nThank you!",
"This issue has been automatically marked as stale be... | 1,645 | 1,693 | 1,648 | NONE | null | I've been following the wonderful [tutorials](https://github.com/NielsRogge/Transformers-Tutorials/blob/master/DETR/Fine_tuning_DetrForSegmentation_on_custom_dataset_end_to_end_approach.ipynb) by @NielsRogge to fine-tune DETR on a custom dataset. However, my predicted mask seems to be always empty after training.
Le... | {
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https://api.github.com/repos/huggingface/transformers/issues/15702 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15702/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15702/comments | https://api.github.com/repos/huggingface/transformers/issues/15702/events | https://github.com/huggingface/transformers/pull/15702 | 1,141,587,791 | PR_kwDOCUB6oc4zANn0 | 15,702 | Fix DETR model deprecation warnings for int div | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,645 | 1,645 | 1,645 | 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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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,645 | 1,645 | 1,645 | MEMBER | null | # What does this PR do?
This PR adds a fine-tuning script for `VisionTextDualEncoder` and `CLIP` model.
The script is named `run_clip.py` since clip also refers to the training scheme (contrastive-language-image) and not just the model. But feel free to suggest other names.
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"I know the next token is only related to the output of the last token , but the previous token's values are supposed to change(I mean),which we just use the past ones,so will cause the wrong value of the output of the last token.",
"Hey @VulnDetector,\r\n\r\nI'm having a hard time following here exactly what you... | 1,645 | 1,645 | 1,645 | 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:4.15.0
Models:
- GPT-2: @patrickvonplaten, @LysandreJik
## Information
In fact,there is no e... | {
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https://api.github.com/repos/huggingface/transformers/issues/15699 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15699/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15699/comments | https://api.github.com/repos/huggingface/transformers/issues/15699/events | https://github.com/huggingface/transformers/pull/15699 | 1,141,430,204 | PR_kwDOCUB6oc4y_sQg | 15,699 | fix bug in PT speech-encoder-decoder | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Think you need to run `make style` once before being able to merge this PR"
] | 1,645 | 1,645 | 1,645 | CONTRIBUTOR | null | # What does this PR do?
Currently in the PT speech-encoder-decoder model, if:
- `encoder_outputs is None` and
- `inputs is not None`
then the encoder is _not_ run in the forward pass, and the `encoder_outputs` remain set to `None`. This throws a `TypeError` when taking the `encoder_hidden_states` - this varia... | {
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"Hi,\r\n\r\nI wasn't able to reproduce your issue. It runs fine for me in Colab. Final log:\r\n\r\n```\r\n{'eval_loss': 0.08317019045352936, 'eval_accuracy': 0.9774436090225563, 'eval_runtime': 1.9557, 'eval_samples_per_second': 68.008, 'eval_steps_per_second': 8.693, 'epoch': 5.0}\r\n\r\n100% 650/650 [02:58<00:00,... | 1,645 | 1,645 | 1,645 | NONE | null | Cats and dogs example fails.
transformers.__version__
'4.16.2'
datasets.__version__
'1.18.3'
```
python run_image_classification.py \
--dataset_name cats_vs_dogs \
--output_dir ./cats_vs_dogs_outputs/ \
--remove_unused_columns False \
--do_train \
--do_eval \
--push_to_hub \
... | {
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https://api.github.com/repos/huggingface/transformers/issues/15697 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15697/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15697/comments | https://api.github.com/repos/huggingface/transformers/issues/15697/events | https://github.com/huggingface/transformers/pull/15697 | 1,141,380,017 | PR_kwDOCUB6oc4y_hgo | 15,697 | Fix docs for decoder_input_ids in BART. | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_15697). All of your documentation changes will be reflected on that endpoint.",
"Done.\r\nPlease review again.",
"Thanks! However, as you can see, the CI needs all checks passing before we can merge this PR.\r\n\r\nFor th... | 1,645 | 1,648 | 1,648 | NONE | null | Fix docs for `decoder_input_ids` in BART.
Fix #15691 | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thanks a lot!"
] | 1,645 | 1,645 | 1,645 | CONTRIBUTOR | null | This PR fixes the docstring for BART models, and those which have copies from `BartEncoder` and `BartDecoder`.
This is needed for #13269.
@patil-suraj @sgugger | {
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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)... | 1,645 | 1,648 | 1,648 | 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: 4.16.2
- Platform: colab
- Python version: 3.7.12
## Information
Hi :)
`new_stride` from `rescale_st... | {
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https://api.github.com/repos/huggingface/transformers/issues/15694 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15694/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15694/comments | https://api.github.com/repos/huggingface/transformers/issues/15694/events | https://github.com/huggingface/transformers/issues/15694 | 1,141,146,957 | I_kwDOCUB6oc5EBIVN | 15,694 | Tokenizer offset_mapping problem | {
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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)... | 1,645 | 1,648 | 1,648 | NONE | null | ## Task info
Hi,
I'm trying to use the tokenizer model to create sliding windows for my `ner` task.
I have seen that the tokenizers can do this, setting the `return_overflowing_tokens=True` parameter when i call them to tokenize text. I also need the token spans, that can be taken from `BatchEncoding` tokenizer oupu... | {
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https://api.github.com/repos/huggingface/transformers/issues/15693 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15693/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15693/comments | https://api.github.com/repos/huggingface/transformers/issues/15693/events | https://github.com/huggingface/transformers/issues/15693 | 1,141,134,245 | I_kwDOCUB6oc5EBFOl | 15,693 | Incorrect information in "Getting started" regarding API tokens | {
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"The `hf_` tokens will work. \r\n\r\nWill update the doc which is out of date (well the old tokenizer `api_` `api_org` still work, we just don't generate new ones anymore).",
"Updated ! closing this issue, feel free to reopen."
] | 1,645 | 1,645 | 1,645 | NONE | null | https://api-inference.huggingface.co/docs/curl/html/quicktour.html#get-your-api-token states
You should see a token api_XXXXXXXX or api_org_XXXXXXX.
But the keys start with hf_
Also https://huggingface.co/docs/hub/security#user-access-tokens describes the read and write tokens without mention of API tokens | {
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https://api.github.com/repos/huggingface/transformers/issues/15692 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15692/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15692/comments | https://api.github.com/repos/huggingface/transformers/issues/15692/events | https://github.com/huggingface/transformers/issues/15692 | 1,141,127,751 | I_kwDOCUB6oc5EBDpH | 15,692 | Typo in https://api-inference.huggingface.co/docs/curl/html/detailed_parameters.html#summarization-task | {
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"Thank you for noticing the typo, @ToonTalk! `api-inference` is an internal repository, and I've submitted the fix.",
"Thank you for reporting this ! @ToonTalk ",
"(Fixed in the docs)"
] | 1,645 | 1,645 | 1,645 | NONE | null | It says "0 mens top_k=1, 100.0 is getting closer to uniform probability."
mens should be means | {
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https://api.github.com/repos/huggingface/transformers/issues/15691 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15691/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15691/comments | https://api.github.com/repos/huggingface/transformers/issues/15691/events | https://github.com/huggingface/transformers/issues/15691 | 1,141,088,540 | I_kwDOCUB6oc5EA6Ec | 15,691 | About `decoder_input_ids` in BART doc | {
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"Indeed, similar to #11357 and duplicate of #14328.\r\n\r\nCan you open a PR to fix this? Otherwise I'll do it.",
"I have submit a PR to fix it. Can you review 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 co... | 1,645 | 1,648 | 1,648 | NONE | null | > For translation and summarization training, decoder_input_ids should be provided. If no decoder_input_ids is provided, the model will create this tensor by shifting the input_ids to the right for denoising pre-training following the paper.
https://huggingface.co/docs/transformers/v4.16.2/en/model_doc/bart#transforme... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,645 | 1,645 | 1,645 | CONTRIBUTOR | null | # What does this PR do?
This PR adds a usage example for pushing to the hub, a useful link to our hub page and a couple of comments.
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
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"Thanks for reporting, this has been fixed. See https://github.com/huggingface/transformers/issues/15648#issuecomment-1039452797.",
"Thank you very much. I am so lucky that it is already fixed. ",
"@syoon9 hey can i get your contact to talk about this?"
] | 1,645 | 1,652 | 1,645 | NONE | null | Thank you for VisionEncoderModel. It is really nice!!
I am currently trying to develop an Indonesian VisionEncoderModel. However, during the validation step, I am getting the following error. I am wondering whether this is an expected behavior or a bug of the code.
Thank you very much in advance.
transformers.ver... | {
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https://api.github.com/repos/huggingface/transformers/issues/15688 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15688/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15688/comments | https://api.github.com/repos/huggingface/transformers/issues/15688/events | https://github.com/huggingface/transformers/pull/15688 | 1,140,561,265 | PR_kwDOCUB6oc4y82Ne | 15,688 | Minor fix on README.md | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,645 | 1,645 | 1,645 | COLLABORATOR | null | # What does this PR do?
Minor fix on README.md, including
- Think we want to provide links to arXiv paper info. pages, not the direct PDF file links (?).
- Paper title for `RoBERTa`
- Remove ending `)` in `ViTMAE` and `ViLT`.
@LysandreJik @NielsRogge @sgugger | {
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https://api.github.com/repos/huggingface/transformers/issues/15687 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15687/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15687/comments | https://api.github.com/repos/huggingface/transformers/issues/15687/events | https://github.com/huggingface/transformers/pull/15687 | 1,140,357,441 | PR_kwDOCUB6oc4y8SCT | 15,687 | Time stamps for CTC models | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"I'm still unsure whether we should output the timestamps of the words or the tokens or both. In my opinion in 99% of the use cases one is interested in getting the time stamps of the words or even sentences, but not necessarily of th... | 1,645 | 1,661 | 1,645 | MEMBER | null | # What does this PR do?
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"_The documentation is not available anymore as the PR was closed or merged._",
"Can you run `make style` on your brnach to fix the quality issue?",
"> Can you run `make style` on your brnach to fix the quality issue?\r\n\r\nSure - I forget doing so quite often (will try to be more careful!).",
"Thanks a lot!... | 1,645 | 1,645 | 1,645 | COLLABORATOR | null | # What does this PR do?
The part `standard deviation` should be `upper bound` in
https://github.com/huggingface/transformers/blob/cdc51ffd27f8f5a3151da161ae2b5dbb410d2803/src/transformers/models/funnel/configuration_funnel.py#L79-L80
as it is used for `nn.init.uniform_`:
https://github.com/huggingface/trans... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Sorry, messed up with another PR. I will open another one"
] | 1,645 | 1,645 | 1,645 | COLLABORATOR | null | # What does this PR do?
The part `standard deviation` should be `upper bound` in
https://github.com/huggingface/transformers/blob/cdc51ffd27f8f5a3151da161ae2b5dbb410d2803/src/transformers/models/funnel/configuration_funnel.py#L79-L80
as it is used for `nn.init.uniform_`:
https://github.com/huggingface/trans... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thank you for the PR, @ydshieh!\r\n\r\nI was looking at the code, and `initializer_std` is only used in the PT side of Funnel (codebase search [here](https://github.com/huggingface/transformers/search?q=initializer_std)). Do you know... | 1,645 | 1,645 | 1,645 | COLLABORATOR | null | # What does this PR do?
This PR sets `initializer_std=0.02` in `TFFunnelModelTester`, so we can use `1e-5` as the threshold in PT/TF equivalence test.
(so the inconsistencies are less likely to be undetected)
TF: @gante @Rocketknight1
## Details
The `test_pt_tf_model_equivalence` in `test_modeling_tf_co... | {
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] | 1,645 | 1,645 | 1,645 | MEMBER | null | # What does this PR do?
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_15682). All of your documentation changes will be reflected on that endpoint.",
"Thanks for the comments. Changed all instances of `detr_**` to `decoder_**` in the config + minor fixes and typos. Currently uploading the new... | 1,645 | 1,646 | 1,646 | CONTRIBUTOR | null | # What does this PR do?
This WIP PR adds [MaskFormer](https://arxiv.org/abs/2107.06278) a new model for any segmentation task. This model ranks [on the top 10 of almost every task](https://paperswithcode.com/paper/per-pixel-classification-is-not-all-you-need)
A total of 8 pre-trained checkpoints will be available... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_15681). 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... | 1,645 | 1,648 | 1,648 | NONE | null | # What does this PR do?
The model default parameters in the `tokenization_utils_base.prepare_for_model` function are fetched after the parameter sanity check. This causes the sanity check to not recognize wrong parameter combinations when using model defaults.
This PR swaps those two.
Fixes #15679
- tokenizers:... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,645 | 1,645 | 1,645 | MEMBER | null | # What does this PR do?
The build_dev_documentation already builds the doc on every PR. I don't think that build_doc_test is needed
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [ ] Did you read the [contributor guideline](https://g... | {
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"cc @SaulLu \r\n\r\nWe should also probably put this method as private/internal with a deprecation cycle as I don't think it's tested outside of the `__call__`/`encode`/`encode_plus` methods",
"Thanks for the issue @r-stiller!\r\n\r\nIndeed, I don't think we test that this method returns certain errors - we have ... | 1,645 | 1,648 | 1,648 | NONE | null | ## Environment info
- `transformers` version: 4.16.2
- Platform: Windows 10
- Python version: 3.9.10
[GitBlame](https://github.com/huggingface/transformers/blame/b87c044c79a408c0a1e7f7b046b5b4ce999c2d0e/src/transformers/tokenization_utils_base.py#L2974-L2978):
- @LysandreJik, @thomwolf
## Information
Hello ... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,645 | 1,645 | 1,645 | MEMBER | null | # What does this PR do?
This PR generates the *whole* docs inside the CI. So when the docs fail building, the CI is red instead of green.
You can see the generated html by `build_dev_documentation.yml` here: https://github.com/huggingface/doc-build-dev/tree/main/transformers/pr_15678
You can see the generated ... | {
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"Hi could please a few more details, like what model are you using (bert, roberta etc) and code snippet so we can reproduce this ?",
"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 not... | 1,645 | 1,648 | 1,648 | NONE | null | i use the model of rbt3 to run a pretrain model
self.model = AutoModel.from_pretrained("/workspace/wanglei/data_set/rbt3")
self.model.train()
nodes = self.model(**rnn_nodes_input_gpu).pooler_output
but got a error
"
RuntimeError: one of the variables needed for gradient computation has been modified by an ... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Can this be used right now with some existing pretrained models?",
"@LysandreJik, yes it can be used anywhere there is a `gelu` call. \r\n\r\nThe purpose of this operator is mainly to be used when doing the calibration phase for qu... | 1,645 | 1,645 | 1,645 | MEMBER | null | Introduce `GeLU10(x)` activation which behaves exactly like a raw GeLU but keeps output values within [-10, 10] range.
This is especially useful when quantizing neural network using GeLU activations, because it allows to map 2 negatives values within the GeLU spectrum.
Please see https://arxiv.org/abs/2004.09602 ... | {
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https://api.github.com/repos/huggingface/transformers/issues/15675 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15675/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15675/comments | https://api.github.com/repos/huggingface/transformers/issues/15675/events | https://github.com/huggingface/transformers/issues/15675 | 1,139,764,513 | I_kwDOCUB6oc5D720h | 15,675 | How can I use "accelerate launch" command to run training job on Multi-GPU? | {
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"Before starting the training, I recommend to run `accelerate config` which helps you setting up the multi-gpu training. When running the commend you are asked how many GPUs you want to use and your answer is then stored in a config that will automatically be used by `accelerate launch`. Could you give this a try?"... | 1,645 | 1,648 | 1,648 | NONE | null | How can I use "accelerate launch" command to train "run_wav2vec2_pretraining_no_trainer.py" on Multi-GPU?
I found that when i use " accelerate launch run_wav2vec2_pretraining_no_trainer ..." , it would run training on a single GPU.
I also tried "accelerate launch --num_machines 4" command , but still not work
@p... | {
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"cc @patrickvonplaten",
"Hey @JH-lee95,\r\n\r\nPlease note that this question is not related to the original Transformers code and not a bug so in the future it would be amazing if you could use the forum for such questions instead: https://discuss.huggingface.co/ . \r\n\r\nTo answer your question, to make your u... | 1,644 | 1,648 | 1,648 | NONE | null | I made a simple Sea2Seq model based on BartForConditionalGeneration.
My model just takes a additional keyward argument in its forward() method.
Everything is just same as the original forward() metho... | {
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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)... | 1,644 | 1,648 | 1,648 | NONE | null | Hello,
When I tried to use Deberta for MLM and I didn't succeed. It seems that it is a known issue. The checkpoint provided by microsoft/deberta-base and other similar ones don't have the pre-trained weights of the Masked LM head.
https://github.com/huggingface/transformers/issues/15216
Thank you! | {
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"Hey! I recommend taking a look at how it is done in our examples: https://github.com/huggingface/transformers/blob/master/examples/pytorch/question-answering/run_qa_no_trainer.py#L388\r\n\r\nPlease note that the question answering pipeline does accept longer sequences, see the list of arguments here: https://githu... | 1,644 | 1,648 | 1,648 | NONE | null | I'm working Question & Answering hugging face pipeline, my sentence length is 3535, bert only takes 512 length, so i'm trying to divide into chunks and work on it.
In the code, i'm working on question and answering model from hugging face, if the length of the sentence is greater than 512, bert won't take it and we'... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,644 | 1,644 | 1,644 | MEMBER | null | Fixes the link to the tiny vit test. | {
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] | 1,644 | 1,644 | 1,644 | MEMBER | null | Fix model equivalence tests on GPU by putting the tensors on the appropriate device. | {
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https://api.github.com/repos/huggingface/transformers/issues/15669 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15669/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15669/comments | https://api.github.com/repos/huggingface/transformers/issues/15669/events | https://github.com/huggingface/transformers/pull/15669 | 1,139,150,426 | PR_kwDOCUB6oc4y4ZxD | 15,669 | Add register method to AutoProcessor | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,644 | 1,645 | 1,645 | COLLABORATOR | null | # What does this PR do?
This PR adds the `register` method to `AutoProcessor`, following the same APIs for configurations, feature extractors, models and tokenizers. | {
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https://api.github.com/repos/huggingface/transformers/issues/15668 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15668/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15668/comments | https://api.github.com/repos/huggingface/transformers/issues/15668/events | https://github.com/huggingface/transformers/pull/15668 | 1,139,125,232 | PR_kwDOCUB6oc4y4U_A | 15,668 | Add push_to_hub method to processors | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,644 | 1,644 | 1,644 | COLLABORATOR | null | # What does this PR do?
This PR adds the `push_to_hub` API to all processors, following the same patterns as for configurations, feature extractors, models and tokenizers. | {
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Adds a link to the image classification notebook. | {
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"Would be super cool!",
"@jegork I am looking to use the Flax weights provided in the original ViViT repo in PyTorch too. Can you guide me how to convert the weights?",
"@akshatshah21 I still can't finish writing the tests for my pull request to add ViViT, but I have created a repo with my converter for you.\r\... | 1,644 | 1,689 | 1,689 | CONTRIBUTOR | null | # 🌟 New model addition
## Model description
The ViViT is a transformer based model similar to Vision Transformer but operating on videos. In their paper, the authors present 4 types of possible architecture, and 2 are considered successful (unfactorised and factorised encoder models). Paper available at https://... | {
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https://api.github.com/repos/huggingface/transformers/issues/15665 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15665/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15665/comments | https://api.github.com/repos/huggingface/transformers/issues/15665/events | https://github.com/huggingface/transformers/pull/15665 | 1,139,081,758 | PR_kwDOCUB6oc4y4Muz | 15,665 | Fix dec_attn_mask in TFTransfoXLMainLayer | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Could @gante or @Rocketknight1 give this a look?",
"I added a few remarks in the PR description. Maybe it will be helpful to get the ideas.",
"> I have further randomly generated the arguments for 1000 times, and the fixed TF ver... | 1,644 | 1,651 | 1,645 | COLLABORATOR | null | # What does this PR do?
Fix `dec_attn_mask` computation in `TFTransfoXLMainLayer`. See the section `Code Snippet to show the issue and the effect of the fix` for the details.
(This difference is more difficult for me to identify the cause).
**Some remarks**:
- If `self.same_length` is `False`, the PT & (ori... | {
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https://api.github.com/repos/huggingface/transformers/issues/15664 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15664/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15664/comments | https://api.github.com/repos/huggingface/transformers/issues/15664/events | https://github.com/huggingface/transformers/issues/15664 | 1,139,080,377 | I_kwDOCUB6oc5D5Py5 | 15,664 | Why are certain models with a higher WER (on the eval set) performing better or as good as models with a lower WER – when tested on the test set? | {
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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!",
"Hi @LysandreJik!\r\n\r\nI opened this issue since it was asked.. A bug in Datasets library was reported a few da... | 1,644 | 1,645 | 1,645 | NONE | null | Hello @patrickvonplaten and @anton-l !
I had two weird observations while evaluating my models, one of which showed that the model with the higher WER clearly outperformed the one with the lower WER (So strange!). In another scenario, when evaluated on the test set, the model with higher WER (on the eval set) fared... | {
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