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https://api.github.com/repos/huggingface/transformers/issues/16263 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16263/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16263/comments | https://api.github.com/repos/huggingface/transformers/issues/16263/events | https://github.com/huggingface/transformers/pull/16263 | 1,173,975,482 | PR_kwDOCUB6oc40rRjL | 16,263 | Add type annotations of config for vision models | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_16263). All of your documentation changes will be reflected on that endpoint."
] | 1,647 | 1,648 | 1,648 | CONTRIBUTOR | null | I added type annotations for config parameters for Beit, ViT and Deit models at PyTorc. Original issue https://github.com/huggingface/transformers/issues/16059
@Rocketknight1
Just completing the #16151 as describe in #16251 | {
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https://api.github.com/repos/huggingface/transformers/issues/16262 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16262/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16262/comments | https://api.github.com/repos/huggingface/transformers/issues/16262/events | https://github.com/huggingface/transformers/issues/16262 | 1,173,949,903 | I_kwDOCUB6oc5F-Q3P | 16,262 | Do you fine-tunde both encoder and decoder | {
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"@rafikg Could you elaborate the question in a bit more detail? Maybe with a minimal code example that demonstrates the issue/question. In particular, could you check what are the keys in `model_inputs` at this line (when you run your example code)\r\n\r\nhttps://github.com/huggingface/transformers/blob/277fc2cc782... | 1,647 | 1,650 | 1,650 | NONE | null | Hi @patil-suraj
https://github.com/huggingface/transformers/blob/277fc2cc782d8c5c28ec399b1ee2fc1c6aed7b6e/examples/pytorch/summarization/run_summarization.py#L500
I am not sure why the `input_models` does not take `decoder_attention_mask` into account ?
**debugging:**
just print the `train_dataset` after ... | {
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https://api.github.com/repos/huggingface/transformers/issues/16261 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16261/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16261/comments | https://api.github.com/repos/huggingface/transformers/issues/16261/events | https://github.com/huggingface/transformers/pull/16261 | 1,173,883,555 | PR_kwDOCUB6oc40rBTd | 16,261 | GPT2 TensorFlow Type Hints | {
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"Potential issues (not very sure about those): \r\n- Pytorch GPT2 has a `GPT2ForTokenClassification` class with no equivalent in the TF version.\r\n- TF GPT2 uses `past` for the parameter that other models (e.g. pytorch gpt2 and tf roberta) call `past_key_values`",
"_The documentation is not available anymore as... | 1,647 | 1,647 | 1,647 | CONTRIBUTOR | null | # What does this PR do?
Add type hints to the TF GPT2 model
Also remove two unused imports that were breaking `make fixup`
<!-- Remove if not applicable -->
Addresses https://github.com/huggingface/transformers/issues/16059
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dis... | {
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https://api.github.com/repos/huggingface/transformers/issues/16260 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16260/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16260/comments | https://api.github.com/repos/huggingface/transformers/issues/16260/events | https://github.com/huggingface/transformers/pull/16260 | 1,173,864,269 | PR_kwDOCUB6oc40q9Nz | 16,260 | TF - update (vision_)encoder_decoder past variable | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,647 | 1,648 | 1,647 | MEMBER | null | # What does this PR do?
I missed these 2 in the `past` refactor PR (https://github.com/huggingface/transformers/pull/15944). It reverts the error from as mentioned here (https://github.com/huggingface/transformers/pull/16230) to its previous form, as tracked here (https://github.com/huggingface/transformers/issues/1... | {
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https://api.github.com/repos/huggingface/transformers/issues/16259 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16259/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16259/comments | https://api.github.com/repos/huggingface/transformers/issues/16259/events | https://github.com/huggingface/transformers/pull/16259 | 1,173,816,737 | PR_kwDOCUB6oc40qzGI | 16,259 | [WIP] add `has_attentions` as done in PyTorch side | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"So I will merge as it is, and work in a follow up PR to use `has_attentions` to other (TF) test methods like `test_model_outputs_equivalence` etc."
] | 1,647 | 1,647 | 1,647 | COLLABORATOR | null | # What does this PR do?
My original intention is to clean up `TFModelTesterMixin.test_pt_tf_model_equivalence`. This is done in this first commit.
Would like to hear from @sgugger to see if it is better to apply the same change found in #15909 here.
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https://api.github.com/repos/huggingface/transformers/issues/16258 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16258/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16258/comments | https://api.github.com/repos/huggingface/transformers/issues/16258/events | https://github.com/huggingface/transformers/pull/16258 | 1,173,809,547 | PR_kwDOCUB6oc40qxlX | 16,258 | Update flaubert with TF decorator | {
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"Report for the pytest run:\r\n\r\n```\r\nRUN_SLOW=1 pytest -vv tests/flaubert/test_modeling_tf_flaubert.py\r\n\r\n========================================================================================= test session starts =========================================================================================\r... | 1,647 | 1,647 | 1,647 | CONTRIBUTOR | null | Unpacks TF model inputs through a decorator, improving code clarity for the FlauBERT model. Linked to issue #16051
@gante | {
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https://api.github.com/repos/huggingface/transformers/issues/16257 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16257/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16257/comments | https://api.github.com/repos/huggingface/transformers/issues/16257/events | https://github.com/huggingface/transformers/pull/16257 | 1,173,780,369 | PR_kwDOCUB6oc40qrd- | 16,257 | Added type hints for PyTorch T5 model | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,647 | 1,647 | 1,647 | CONTRIBUTOR | null | # What does this PR do?
Adds type hints for PyTorch T5 model. See #16059.
@Rocketknight1 | {
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"cc @Narsil ",
"Hi @DanieleBarreca ,\r\n\r\nCan you try with `hypothesis_template` as a variable, I think that's the issue.\r\n\r\n@LysandreJik , We're very tolerant on arguments, what do you think about raising errors on pipelines that do not accept `*kwargs` when the passed argument is not understood (would pre... | 1,647 | 1,647 | 1,647 | NONE | null | I am trying to build a custom function that replicates the transfomers' pipeline in order to optimize runtimes for the roberta model, like in [this section of the documentation](https://huggingface.co/joeddav/xlm-roberta-large-xnli#with-manual-pytorch).
The blueprint to write my custom function is the [ZeroShotClass... | {
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"I just have a quick look and left a comment.\r\n\r\nI feel strange that there are style changes like `omega = 1.0 / 10000 ** omega # (D/2,)`. Do you have a previous version of `black`?\r\n\r\nI thought you already updated the version (during your work on `TFConvNext`), via\r\n\r\n```\r\npip install -e .[quality]\r... | 1,647 | 1,648 | 1,648 | MEMBER | null | This PR adds the MAE [1] model in TensorFlow. It was developed by @arig23498 and myself.
Fun facts about this PR:
* Probably the third pure vision model in TensorFlow in `transformers`.
**References**:
[1] [Masked Autoencoders Are Scalable Vision Learners](https://arxiv.org/abs/2111.06377)
**Update**
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,647 | 1,647 | 1,647 | MEMBER | null | # What does this PR do?
Update the `JAX` version in `setup.py` to not install `jax==0.3.2`. And also re-enable some skipped tests. | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"I will look this later today. Still learn this kind of things. If it is urgent, don't hesitate to go ahead though.",
"LGTM (without looking the notification script in detail).\r\n\r\nJust 2 questions (due to my lack of expertise):\... | 1,647 | 1,647 | 1,647 | 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/16252 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16252/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16252/comments | https://api.github.com/repos/huggingface/transformers/issues/16252/events | https://github.com/huggingface/transformers/issues/16252 | 1,173,567,111 | I_kwDOCUB6oc5F8zaH | 16,252 | Weird PanicException when trying to save tokenizer using `tokenizer.save_pretrained` | {
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"It looks like your issues comes from a problem with the fast tokenizer. A simple reproducer is:\r\n```py\r\nfrom transformers import AutoTokenizer\r\n\r\ntokenizer = AutoTokenizer.from_pretrained(\"YituTech/conv-bert-base\")\r\ntokenizer.save_pretrained(\"test-tok\")\r\n```",
"Ohh, what should I do in that case ... | 1,647 | 1,650 | 1,650 | 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
- Platform: Linux-4.14.252-131.483.amzn1.x86_64-x86_64-with-glibc2.9
- Python version: 3.6.13
- PyTor... | {
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https://api.github.com/repos/huggingface/transformers/issues/16251 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16251/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16251/comments | https://api.github.com/repos/huggingface/transformers/issues/16251/events | https://github.com/huggingface/transformers/issues/16251 | 1,173,536,289 | I_kwDOCUB6oc5F8r4h | 16,251 | ViT-mae missing parameter at comments of `copied from` | {
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"Hey,\r\n\r\nYeah you can add the `with ViT->ViTMAE` if you need to."
] | 1,647 | 1,647 | 1,647 | CONTRIBUTOR | null | ### Who can help
@NielsRogge
## Information
As describe in #16151
When i was type annotating the ViT model, i get some problem when running `make fix-copies` for vit-mae. When i annotated the cofig parameter at ViT, and run `make fix-copies` the script fix at deit model (update the type annotation to Deit conf... | {
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https://api.github.com/repos/huggingface/transformers/issues/16250 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16250/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16250/comments | https://api.github.com/repos/huggingface/transformers/issues/16250/events | https://github.com/huggingface/transformers/pull/16250 | 1,173,490,252 | PR_kwDOCUB6oc40puT- | 16,250 | Aggressive PT/TF equivalence test on PT side | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,647 | 1,647 | 1,647 | COLLABORATOR | null | # What does this PR do?
Update `test_pt_tf_model_equivalence` in `test_modeling_common.py` to have the same logic in #15839. | {
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"Hi @TheHonestBob! The `TFTrainer` class was deprecated a while ago, so it is likely that it fails under a few circumstances (and we don't have plans to maintain it).\r\n\r\nHave you tried using the native Keras API? Here are our docs for fine-tuning with Keras: https://huggingface.co/docs/transformers/master/en/tr... | 1,647 | 1,647 | 1,647 | NONE | null | my environment below:
transformers==4.0.0
tensorflow-gpu==2.3.0
python==3.7
when I use TFTrainer(model, train_dataset, val_dataset), wether my dataset is tf.data.Dataset.from_generator or tf.data.TFRecordDataset, their dataset.cardinality() always -2, so in TFTrainer.get_train_tfdataset() func,
self.num_train_exa... | {
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https://api.github.com/repos/huggingface/transformers/issues/16248 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16248/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16248/comments | https://api.github.com/repos/huggingface/transformers/issues/16248/events | https://github.com/huggingface/transformers/issues/16248 | 1,173,313,272 | I_kwDOCUB6oc5F71b4 | 16,248 | NER at the Inference Time | {
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"Hey @ndenStanford !\r\nThanks for the issue but I think the [forum](https://discuss.huggingface.co/) would be the best place to ask such general questions. We use issues to report bugs and for feature request. ",
"This issue has been automatically marked as stale because it has not had recent activity. If you th... | 1,647 | 1,650 | 1,650 | NONE | null | Apology in advance if this question might have already been asked. However, I have not been able to find a convincing answer or the optimum way to deal with this issue.
To my understanding, NER makes a prediction at a token level. Since BERT is using a sub-word tokenizer, it is entirely possible that some part of t... | {
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https://api.github.com/repos/huggingface/transformers/issues/16247 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16247/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16247/comments | https://api.github.com/repos/huggingface/transformers/issues/16247/events | https://github.com/huggingface/transformers/pull/16247 | 1,173,289,360 | PR_kwDOCUB6oc40pHCa | 16,247 | Update XLM with TF decorator | {
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"tests results\r\n\r\n```\r\nRUN_SLOW=1 py.test -vv tests/xlm/test_modeling_tf_xlm.py \r\n================================================================================== test session starts ===================================================================================\r\nplatform linux -- Python 3.8.12... | 1,647 | 1,647 | 1,647 | 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.
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"_The documentation is not available anymore as the PR was closed or merged._",
"The current test fail is unrelated to the PR (cbs is separated from `sample_generate`):\r\n\r\n```\r\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\r\n=========================== short test summary info ====... | 1,647 | 1,647 | 1,647 | CONTRIBUTOR | null | # [CBS] Adding Notebook Example & Minor Typo Fix
Very lightweight PR for:
- a fix to a somewhat embarrassing copy-and-paste error I made in my initial PR
- Thought it'd be nice if the notebook on `huggingface/blog` could be added to the list of Pytorch notebooks as others have done (both the Colab and SageMaker li... | {
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https://api.github.com/repos/huggingface/transformers/issues/16244 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16244/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16244/comments | https://api.github.com/repos/huggingface/transformers/issues/16244/events | https://github.com/huggingface/transformers/pull/16244 | 1,173,040,171 | PR_kwDOCUB6oc40oV_F | 16,244 | Add missing type hints for PyTorch Longformer models | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,647 | 1,648 | 1,647 | CONTRIBUTOR | null | # What does this PR do?
- Adds missing type hints to the PyTorch Longformer model classes.
- Issue: #16059
## Tests / Checks
- I ran `make fixup` before my final commit.
- `RUN_SLOW=1 py.test -vv tests/longformer/test_modeling_longformer.py` ran without any failures.
_This PR is part of the G... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,647 | 1,647 | 1,647 | MEMBER | null | This PR follows up on #16136 to include an `attention_mask` if user outputs are incorrect as a result of not masking the padding tokens. cc @patrickvonplaten @sgugger | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Going to run the slow tests locally, to confirm they pass",
"Can confirm that they pass, merging 👍 "
] | 1,647 | 1,647 | 1,647 | CONTRIBUTOR | null | # What does this PR do?
Add the `unpack_inputs` decorator for `ctrl`. It also replaces the `past` parameters in models in and output by `past_key_values` as there was an irregularity in the naming that caused an error with the new input processing.
<!-- Remove if not applicable -->
Fixes # (issue)
#16051
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https://api.github.com/repos/huggingface/transformers/issues/16241 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16241/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16241/comments | https://api.github.com/repos/huggingface/transformers/issues/16241/events | https://github.com/huggingface/transformers/pull/16241 | 1,172,925,837 | PR_kwDOCUB6oc40n96S | 16,241 | [xtreme-s] Update Minds14 results | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Let's maybe put the new eval code (to do per lang eval) directly into this here as well?",
"@patrickvonplaten The per-language results are now reflected in the model card too: https://huggingface.co/anton-l/xtreme_s_xlsr_300m_minds... | 1,647 | 1,647 | 1,647 | MEMBER | null | # What does this PR do?
Updated results for the XTREME-S experiments with the new Minds14 splits | {
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https://api.github.com/repos/huggingface/transformers/issues/16240 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16240/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16240/comments | https://api.github.com/repos/huggingface/transformers/issues/16240/events | https://github.com/huggingface/transformers/pull/16240 | 1,172,852,839 | PR_kwDOCUB6oc40nul5 | 16,240 | add type hints for gpt2 model classes (PyTorch) | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_16240). All of your documentation changes will be reflected on that endpoint.",
"@KristijanArmeni thanks for this PR! I think the types you chose look good. Running `make fixup` can be tricky, though - it depends on having ... | 1,647 | 1,650 | 1,650 | NONE | null | # What does this PR do?
1. This PR adds type hints for GPT2 as mentioned in #16059 (following docs and other PRs for GPT-like model classes).
Notes:
- I've specified tensor subtypes where I could, e.g. `Optional[torch.LongTensor]`, `Optional[torch.FloatTensor]` as opposed to `Optional[torch.Tensor]` (assuming th... | {
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https://api.github.com/repos/huggingface/transformers/issues/16239 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16239/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16239/comments | https://api.github.com/repos/huggingface/transformers/issues/16239/events | https://github.com/huggingface/transformers/pull/16239 | 1,172,836,969 | PR_kwDOCUB6oc40nrRm | 16,239 | Make `add-new-model-like` work in an env without all frameworks | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,647 | 1,647 | 1,647 | COLLABORATOR | null | # What does this PR do?
This PR removes the need for a full dev installed when a user wants to run `add-new-model-like`. | {
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https://api.github.com/repos/huggingface/transformers/issues/16238 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16238/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16238/comments | https://api.github.com/repos/huggingface/transformers/issues/16238/events | https://github.com/huggingface/transformers/pull/16238 | 1,172,832,991 | PR_kwDOCUB6oc40nqdQ | 16,238 | [Deepspeed] non-HF Trainer doc update | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,647 | 1,647 | 1,647 | CONTRIBUTOR | null | Adding some clarifications that `HfDeepSpeedConfig` is not needed unless Deepspeed ZeRO-3 is used w/o HF Trainer:
based on this communication https://github.com/huggingface/transformers/issues/15399#issuecomment-1070364836
@sgugger | {
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https://api.github.com/repos/huggingface/transformers/issues/16237 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16237/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16237/comments | https://api.github.com/repos/huggingface/transformers/issues/16237/events | https://github.com/huggingface/transformers/pull/16237 | 1,172,805,793 | PR_kwDOCUB6oc40nmbr | 16,237 | Draft a guide with our code quirks for new models | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,647 | 1,647 | 1,647 | COLLABORATOR | null | # What does this PR do?
This PR adds a few indications on code styling for new model additions. I put the one that I could think of quickly, but there are probably more! | {
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https://api.github.com/repos/huggingface/transformers/issues/16236 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16236/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16236/comments | https://api.github.com/repos/huggingface/transformers/issues/16236/events | https://github.com/huggingface/transformers/pull/16236 | 1,172,751,968 | PR_kwDOCUB6oc40ndmF | 16,236 | [FlaxSpeechEncoderDecoderModel] Skip from_encoder_decoder_pretrained | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_16236). All of your documentation changes will be reflected on that endpoint."
] | 1,647 | 1,647 | 1,647 | MEMBER | null | # What does this PR do?
Skip `test_encoder_decoder_model_from_encoder_decoder_pretrained` until this issue is: https://github.com/google/jax/issues/9941
cc @sanchit-gandhi @patrickvonplaten | {
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https://api.github.com/repos/huggingface/transformers/issues/16235 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16235/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16235/comments | https://api.github.com/repos/huggingface/transformers/issues/16235/events | https://github.com/huggingface/transformers/issues/16235 | 1,172,662,606 | I_kwDOCUB6oc5F5WlO | 16,235 | Enable the use of private models in example scripts using use_auth_token | {
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"cc @sgugger ",
"Sure, I believe it's just a matter of passing the token in the right places :-)",
"Great thanks @sgugger. Will work on a PR adding those in :)",
"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 comm... | 1,647 | 1,651 | 1,651 | CONTRIBUTOR | null | # 🚀 Feature request
Currently private models can be used with the examples scripts by setting the `use_auth_token argument` as `True` however this doesn't seem to be an option for private datasets.
## Motivation
Enabling the use of private datasets using the example scripts
## Your contribution
I'm happ... | {
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https://api.github.com/repos/huggingface/transformers/issues/16234 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16234/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16234/comments | https://api.github.com/repos/huggingface/transformers/issues/16234/events | https://github.com/huggingface/transformers/issues/16234 | 1,172,617,844 | I_kwDOCUB6oc5F5Lp0 | 16,234 | Loading from AutoModel gives ValueError: You have to specify either decoder_input_ids or decoder_inputs_embeds | {
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"The problem here is that `AutoModel` does not load the full T5 model wiht a language head. One should use `AutoModelForSeq2SeqLM` inseatd:\r\n\r\n```py\r\nfrom transformers import AutoModelForSeq2SeqLM, AutoTokenizer \r\nmodel_name = \"castorini/t5-base-canard\" \r\n\r\nmodel = AutoModelForSeq2SeqLM.from_pretraine... | 1,647 | 1,683 | 1,647 | MEMBER | null | Executing the following code snippet states that ValueError: You have to specify either decoder_input_ids or decoder_inputs_embeds.
```py
from transformers import AutoModel, AutoTokenizer
model_name = "castorini/t5-base-canard"
model = AutoModel.from_pretrained(model_name)
tokenizer = AutoTokenizer.from_pret... | {
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https://api.github.com/repos/huggingface/transformers/issues/16233 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16233/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16233/comments | https://api.github.com/repos/huggingface/transformers/issues/16233/events | https://github.com/huggingface/transformers/issues/16233 | 1,172,601,615 | I_kwDOCUB6oc5F5HsP | 16,233 | How to pass args of generate() method via batch_decode | {
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"Currently the seq2seq trainer doesn't support `num_return_sequence` argument for generation. \r\n\r\nYou might need to tweak it here:\r\nhttps://github.com/huggingface/transformers/blob/v4.17.0/src/transformers/trainer_seq2seq.py#L158-L162",
"Thanks @qqaatw. Because batch_decode cotains **kwargs, I thought maybe... | 1,647 | 1,647 | 1,647 | NONE | null | I want to specify the generate params in the line below:
```
generate(tokenized_input.input_ids,
max_length=64,
no_repeat_ngram_size=2,
early_stopping=True,
num_bea... | {
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https://api.github.com/repos/huggingface/transformers/issues/16232 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16232/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16232/comments | https://api.github.com/repos/huggingface/transformers/issues/16232/events | https://github.com/huggingface/transformers/issues/16232 | 1,172,577,453 | I_kwDOCUB6oc5F5Byt | 16,232 | A question about the cross-attention layer shape in encoder-decoder model | {
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```
from transformers import EncoderDecoderModel, BertTokenizer
import torch
tokenizer = BertTokenizer.from_pretrained("bert-base-uncased")
model = EncoderDecoderModel.from_enc... | {
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https://api.github.com/repos/huggingface/transformers/issues/16231 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16231/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16231/comments | https://api.github.com/repos/huggingface/transformers/issues/16231/events | https://github.com/huggingface/transformers/pull/16231 | 1,172,555,485 | PR_kwDOCUB6oc40m7gf | 16,231 | fix(flax): generate with logits processor/warper | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,647 | 1,647 | 1,647 | CONTRIBUTOR | null | # What does this PR do?
This PR fixes an issue with flax generate method where the logits processor and warper were not being considered.
<!--
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 mak... | {
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https://api.github.com/repos/huggingface/transformers/issues/16230 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16230/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16230/comments | https://api.github.com/repos/huggingface/transformers/issues/16230/events | https://github.com/huggingface/transformers/pull/16230 | 1,172,525,623 | PR_kwDOCUB6oc40m1EG | 16,230 | Fix TFBert `past_key_values` | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Here is the code I used for this issue/PR\r\n\r\n```python\r\nfrom transformers import EncoderDecoderModel, AutoTokenizer, TFEncoderDecoderModel\r\ntokenizer = AutoTokenizer.from_pretrained(\"bert-base-uncased\")\r\nmodel = TFEncoder... | 1,647 | 1,651 | 1,647 | COLLABORATOR | null | # What does this PR do?
Current `TFBertEncoderDecoderModelTest.test_bert2bert_summarization` on `master` will fail because `past_key_values` received by TF Bert is a tuple of 2 elements:
- 1st element: it is just `encoder_hidden_states`
- 2nd element: this is the same as the `past_key_values` in Pytorch versio... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thanks @lilianabs! 🤗",
"@omarespejel all of the changes have been added, thank you! :) ",
"Thank you @lilianabs! 🤗. @sgugger LGTM 👍 "
] | 1,647 | 1,648 | 1,648 | CONTRIBUTOR | null | # What does this PR do?
Adds the translation of [installation.mdx](https://github.com/huggingface/transformers/blob/master/docs/source/installation.mdx) to Spanish.
Fixes # [15947](https://github.com/huggingface/transformers/issues/15947) (issue)
## Before submitting
- [✓] This PR fixes a typo or improves the... | {
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"Lol just realized I accidentally committed my changes using my work email address 🤦♂️",
"One thing I note in the docstring changes is that you wrote `Numpy array` rather than `np.ndarray`, which might be causing our doc builder some confusion! Can you try changing that and seeing if we get a green light on the... | 1,647 | 1,648 | 1,647 | CONTRIBUTOR | null | # What does this PR do?
1. Adds missing type hints to the TF Longformer model classes.
- Issue: #16059
- Note: I also added `Numpy array` as a possible argument type to parameters listed in `LONGFORMER_INPUTS_DOCSTRING`.
2. Unpacks TF Longformer model inputs using the `unpack_inputs` decorator... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_16227). All of your documentation changes will be reflected on that endpoint."
] | 1,647 | 1,647 | 1,647 | CONTRIBUTOR | null | # What does this PR do?
Nan/Inf Logging Filter Training Argument is type hinted as `str` even though it looks like it is a `bool`. Documentation marks it as a `bool`, the default value is a `bool`, and all the usages that I could see are for a `bool`.
We are doing some work involving dependency injection and rely... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"CI is not fully green, but I will merge -- the issue is separated from this PR, and is being tracked internally"
] | 1,647 | 1,647 | 1,647 | CONTRIBUTOR | null | # What does this PR do?
Add the unpack_inputs decorator to marian model and remove unneeded code
Fixes # (issue)
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](https://github.com/hugg... | {
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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/main/CONTRIBUTING.md) a... | 1,647 | 1,653 | 1,653 | NONE | null | ## Environment info
- `transformers` version: 4.17.0
- Platform: Linux-5.4.144+-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.7.12
- PyTorch version (GPU?): 1.10.0+cu111 (False)
- Tensorflow version (GPU?): 2.8.0 (False)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not installed
- Ja... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,647 | 1,647 | 1,647 | MEMBER | null | Skips the equivalence test for TransfoXL as it does not have the `loss` or `losses` returned. | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_16223). All of your documentation changes will be reflected on that endpoint."
] | 1,647 | 1,649 | 1,649 | CONTRIBUTOR | null | # What does this PR do?
This PR adds type hints to the XLM model for TensorFlow.
Models:
- albert, bert, xlm: @LysandreJik
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,647 | 1,647 | 1,647 | CONTRIBUTOR | null | # What does this PR do?
Fixes #16221
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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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"Hi @CallumMcMahon ,\r\n\r\nThanks you very much for reporting this.\r\n\r\nIt is indeed the case that somehow `return_attention_mask` is deliberately set to `False`. I tried to look back in history why it was there but I couldn't find a very good reason, so I removed it in the fix PR."
] | 1,647 | 1,647 | 1,647 | 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
- Platform: Mac
- Python version: 3.7.10
- PyTorch version (GPU?): 1.8.1 no GPU
- Using GPU in scrip... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"There seem to be some failing tests still :-) ",
"The failing tests are not related to this PR.",
"Hi, I am not very into the detail here, but curious about that if this implies from this version, `transformers` will only work wi... | 1,647 | 1,647 | 1,647 | MEMBER | null | # What does this PR do?
Remove `jax.ops.index` as this method is removed in latest jax release `v0.3.2`. | {
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] | 1,647 | 1,647 | 1,647 | CONTRIBUTOR | null | # What does this PR do?
This PR fixes some failed tests in MaskFormer due to not setting `torch_device` | {
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Fixes the DiT integration test by setting the appropriate device. | {
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https://api.github.com/repos/huggingface/transformers/issues/16217 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16217/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16217/comments | https://api.github.com/repos/huggingface/transformers/issues/16217/events | https://github.com/huggingface/transformers/pull/16217 | 1,171,981,997 | PR_kwDOCUB6oc40lBqS | 16,217 | Fix readmes | {
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Removes duplicate items.
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https://api.github.com/repos/huggingface/transformers/issues/16216 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16216/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16216/comments | https://api.github.com/repos/huggingface/transformers/issues/16216/events | https://github.com/huggingface/transformers/issues/16216 | 1,171,949,721 | I_kwDOCUB6oc5F2oiZ | 16,216 | Question about `query_length` in modeling_t5.py | {
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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/main/CONTRIBUTING.md) a... | 1,647 | 1,650 | 1,650 | CONTRIBUTOR | null | https://github.com/huggingface/transformers/blob/0a057201a96565df29984d716f660fd8d634329a/src/transformers/models/t5/modeling_t5.py#L464
If the `past_key_value` is not None, the `query_length` induced from `SelfAttention` can be the length of `past_key_value` + `hidden_states`, which is actually wrong.
Luckily, t... | {
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https://api.github.com/repos/huggingface/transformers/issues/16215 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16215/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16215/comments | https://api.github.com/repos/huggingface/transformers/issues/16215/events | https://github.com/huggingface/transformers/pull/16215 | 1,171,918,599 | PR_kwDOCUB6oc40k0i6 | 16,215 | Framework split for Spanish version of doc quicktour.mdx | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Sorry for those mistakes! My IDE was formatting MD-style files funny."
] | 1,647 | 1,647 | 1,647 | CONTRIBUTOR | null | # What does this PR do?
This PR applies the framework split performed in PR #16030 to the Spanish version of quicktour.mdx.
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https://api.github.com/repos/huggingface/transformers/issues/16214 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16214/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16214/comments | https://api.github.com/repos/huggingface/transformers/issues/16214/events | https://github.com/huggingface/transformers/pull/16214 | 1,171,849,764 | PR_kwDOCUB6oc40kmdw | 16,214 | Add type hints to xlnet | {
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] | 1,647 | 1,647 | 1,647 | CONTRIBUTOR | null | # What does this PR do?
I added type annotations for xlnet (PT and TF) as described in [#16059]
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https://api.github.com/repos/huggingface/transformers/issues/16213 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16213/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16213/comments | https://api.github.com/repos/huggingface/transformers/issues/16213/events | https://github.com/huggingface/transformers/issues/16213 | 1,171,699,682 | I_kwDOCUB6oc5F1rfi | 16,213 | ValueError: HFArgumentParser on running run_glue.py | {
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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/main/CONTRIBUTING.md) a... | 1,647 | 1,650 | 1,650 | NONE | null | Hi,
I get the following error with HFArgumentParser on running run_glue.py. Any help would be appreciated. Thanks!
## 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`... | {
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https://api.github.com/repos/huggingface/transformers/issues/16212 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16212/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16212/comments | https://api.github.com/repos/huggingface/transformers/issues/16212/events | https://github.com/huggingface/transformers/pull/16212 | 1,171,627,083 | PR_kwDOCUB6oc40kDeV | 16,212 | Adding Unpack Decorator For DPR model | {
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"` ========================================================================================== test session starts ==========================================================================================platform linux -- Python 3.8.10, pytest-7.1.0, pluggy-1.0.0 -- /usr/bin/python3\r\ncachedir: .pytest_cache\r\nhy... | 1,647 | 1,647 | 1,647 | CONTRIBUTOR | null | ## What does this PR do?
Unpacks TF model inputs through a decorator, Sepcfically for DPR. In response to #16051
## Before submitting
* [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
* [x] Did you read the [contributor guideline](https://github.com/huggi... | {
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https://api.github.com/repos/huggingface/transformers/issues/16211 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16211/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16211/comments | https://api.github.com/repos/huggingface/transformers/issues/16211/events | https://github.com/huggingface/transformers/issues/16211 | 1,171,526,561 | I_kwDOCUB6oc5F1BOh | 16,211 | SegFormer Quantized Model (Int8) not loading weights properly. | {
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"Quantized (only background predicted) : \r\n\r\n\r\n",
"Initial model:\r\n\r\n\r\n",
... | 1,647 | 1,650 | 1,650 | 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: Windows 11/Ubuntu 20.04
- Python version: 3.7
- PyTorch version (GPU?): 1.10.2+cu113
- T... | {
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https://api.github.com/repos/huggingface/transformers/issues/16210 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16210/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16210/comments | https://api.github.com/repos/huggingface/transformers/issues/16210/events | https://github.com/huggingface/transformers/issues/16210 | 1,171,470,347 | I_kwDOCUB6oc5F0zgL | 16,210 | Using pooler/hidden states output of an AutoModel vs. XForSequenceClassification for training another classifier? | {
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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... | 1,647 | 1,651 | 1,651 | NONE | null | I have a finetuned RobertaForSequenceClassification model that I have already trained and saved to disk. I now want to load it, and instead of using it for classification tasks, extract the embeddings it generates and outputs, or "pooled/pooler output". From my understanding, I can load the model using X.fromPretrained... | {
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https://api.github.com/repos/huggingface/transformers/issues/16209 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16209/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16209/comments | https://api.github.com/repos/huggingface/transformers/issues/16209/events | https://github.com/huggingface/transformers/pull/16209 | 1,171,445,096 | PR_kwDOCUB6oc40jdhd | 16,209 | Fix reproducibility in Training for PyTorch 1.11 | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,647 | 1,647 | 1,647 | COLLABORATOR | null | # What does this PR do?
It used to be that PyTorch called just one random operation in the `RandomSampler` code, so to ensure reproducibility, we only had to get the first batch of a dataloader to have its generator RNG be in the same state as if we had done the whole epoch.
Well not anymore... Introducing PyTorc... | {
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https://api.github.com/repos/huggingface/transformers/issues/16208 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16208/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16208/comments | https://api.github.com/repos/huggingface/transformers/issues/16208/events | https://github.com/huggingface/transformers/pull/16208 | 1,171,359,128 | PR_kwDOCUB6oc40jOtH | 16,208 | Fix typos in docstrings of data_collator.py | {
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<!--
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https://api.github.com/repos/huggingface/transformers/issues/16207 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16207/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16207/comments | https://api.github.com/repos/huggingface/transformers/issues/16207/events | https://github.com/huggingface/transformers/pull/16207 | 1,171,296,470 | PR_kwDOCUB6oc40jBac | 16,207 | rembert/splinter (torch) type annotations | {
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"@Rocketknight1 this passed tests - Think I was missing an Optional typing import on Splinter.\r\nNo build on PR though",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_16207). All of your documentation changes will be reflected on that endpoint.",
"@Rocketknight1 Rem... | 1,647 | 1,647 | 1,647 | CONTRIBUTOR | null | #16059
Type annotations for Rembert & Splinter (Torch) and copies | {
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https://api.github.com/repos/huggingface/transformers/issues/16206 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16206/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16206/comments | https://api.github.com/repos/huggingface/transformers/issues/16206/events | https://github.com/huggingface/transformers/pull/16206 | 1,171,263,187 | PR_kwDOCUB6oc40i6Uu | 16,206 | Fix generation min length | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_16206). All of your documentation changes will be reflected on that endpoint.",
"> LGTM.\r\n> \r\n> If I understand correctly we were almost always adding the min_length logits processor even though it's not needed when min... | 1,647 | 1,647 | 1,647 | MEMBER | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/16205 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16205/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16205/comments | https://api.github.com/repos/huggingface/transformers/issues/16205/events | https://github.com/huggingface/transformers/issues/16205 | 1,171,262,535 | I_kwDOCUB6oc5F0AxH | 16,205 | Clinical longformer - IndexError: index out of range in self | {
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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/main/CONTRIBUTING.md) a... | 1,647 | 1,650 | 1,650 | NONE | null | **Description:**
While using clinical Longformer (AutoModelForSequenceClassification.from_pretrained("yikuan8/Clinical-Longformer", num_labels=3)) and its tokenizer (AutoTokenizer.from_pretrained("yikuan8/Clinical-Longformer")), I am running into the "IndexError: index out of range in self" error.
**Source code:**... | {
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https://api.github.com/repos/huggingface/transformers/issues/16204 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16204/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16204/comments | https://api.github.com/repos/huggingface/transformers/issues/16204/events | https://github.com/huggingface/transformers/pull/16204 | 1,171,254,294 | PR_kwDOCUB6oc40i4a0 | 16,204 | Doctests - reporting tool | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,647 | 1,647 | 1,647 | MEMBER | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/16203 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16203/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16203/comments | https://api.github.com/repos/huggingface/transformers/issues/16203/events | https://github.com/huggingface/transformers/issues/16203 | 1,171,234,440 | I_kwDOCUB6oc5Fz56I | 16,203 | Training MLM model XLM Roberta large on google machine specs not fast | {
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"You can use the gradient accumulation step. You will find it in the argument by running your script xx.py --help. Also, your GPU is A100 so I think you can use the flag bf16 which is designed for amber GPUs like A100 and 3090. Why do you don't use fairseq? it has a max update argument which you can adjust to fit a... | 1,647 | 1,650 | 1,650 | NONE | null | I am fine tuning masked language model from `XLM Roberta large` on google machine specs.
I made couple of experiments and was strange to see few results.
```
"a2-highgpu-4g" ,accelerator_count=4, accelerator_type="NVIDIA_TESLA_A100" on 4,12,672 data batch size 4 Running ( 4 data*4 GPU=16 data points)
"a2-highgp... | {
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https://api.github.com/repos/huggingface/transformers/issues/16202 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16202/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16202/comments | https://api.github.com/repos/huggingface/transformers/issues/16202/events | https://github.com/huggingface/transformers/pull/16202 | 1,171,141,405 | PR_kwDOCUB6oc40igIG | 16,202 | TF: add beam search tests | {
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"_The documentation is not available anymore as the PR was closed or merged._"
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Adds `generate()` beam search tests, in advance of the beam search refactor. | {
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https://api.github.com/repos/huggingface/transformers/issues/16201 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16201/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16201/comments | https://api.github.com/repos/huggingface/transformers/issues/16201/events | https://github.com/huggingface/transformers/pull/16201 | 1,171,101,112 | PR_kwDOCUB6oc40iXjc | 16,201 | VAN: update modules names | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,647 | 1,647 | 1,647 | CONTRIBUTOR | null | # What does this PR do?
This PR updates VAN modules' names to follow our convention and use more extensively the `Config`
## TODO
- [x] reupload weights | {
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https://api.github.com/repos/huggingface/transformers/issues/16200 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16200/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16200/comments | https://api.github.com/repos/huggingface/transformers/issues/16200/events | https://github.com/huggingface/transformers/pull/16200 | 1,171,091,482 | PR_kwDOCUB6oc40iVfI | 16,200 | Added type hints for Pytorch Marian calls | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@patil-suraj Hm, do I need to change the BART too for consistency? \r\n```\r\nsrc/transformers/models/marian/modeling_marian.py: copy does not match models.bart.modeling_bart.BartAttention at line 144\r\nsrc/transformers/models/mari... | 1,647 | 1,647 | 1,647 | MEMBER | null | As the title suggests, this PR adds type hints to the PyTorch Marian calls. (#16059 )
@Rocketknight1 | {
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https://api.github.com/repos/huggingface/transformers/issues/16199 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16199/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16199/comments | https://api.github.com/repos/huggingface/transformers/issues/16199/events | https://github.com/huggingface/transformers/pull/16199 | 1,171,074,324 | PR_kwDOCUB6oc40iR1x | 16,199 | Add GLPN | {
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"Ok I've addressed all comments. Waiting for the author to respond such that I can transfer the weights to his name."
] | 1,647 | 1,647 | 1,647 | CONTRIBUTOR | null | # What does this PR do?
This PR implements [GLPN](https://arxiv.org/abs/2201.07436), Global Local Path Networks, for state-of-the-art depth estimation (number 2 on paperswithcode for KITTI and NYUv2 benchmarks).
To do:
- [x] transfer weights to author's username
- [x] add tests for GLPNFeatureExtractor
- [x]... | {
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https://api.github.com/repos/huggingface/transformers/issues/16198 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16198/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16198/comments | https://api.github.com/repos/huggingface/transformers/issues/16198/events | https://github.com/huggingface/transformers/pull/16198 | 1,171,061,856 | PR_kwDOCUB6oc40iPNZ | 16,198 | Fix loading CLIPVisionConfig and CLIPTextConfig | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,647 | 1,647 | 1,647 | MEMBER | null | # What does this PR do?
As described in #16185, there's a bug when loading `CLIPVisionModel` from a `CLIPModel` checkpoint. This is because the
`CLIPVisionConfig` is not loaded correctly. And all the arguments use default values which correspond to the `openai/clip-vit-base-patch32` model, which results in shape m... | {
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https://api.github.com/repos/huggingface/transformers/issues/16197 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16197/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16197/comments | https://api.github.com/repos/huggingface/transformers/issues/16197/events | https://github.com/huggingface/transformers/pull/16197 | 1,171,057,629 | PR_kwDOCUB6oc40iOU7 | 16,197 | Fix-clip-configs | {
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<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
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https://api.github.com/repos/huggingface/transformers/issues/16196 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16196/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16196/comments | https://api.github.com/repos/huggingface/transformers/issues/16196/events | https://github.com/huggingface/transformers/pull/16196 | 1,171,050,528 | PR_kwDOCUB6oc40iM0U | 16,196 | ResNet: update modules names | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,647 | 1,647 | 1,647 | CONTRIBUTOR | null | # What does this PR do?
This PR updates ResNet modules' names to follow our convention and use more extensively the `Config`
## TODO
- [x] reupload weights | {
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https://api.github.com/repos/huggingface/transformers/issues/16195 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16195/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16195/comments | https://api.github.com/repos/huggingface/transformers/issues/16195/events | https://github.com/huggingface/transformers/issues/16195 | 1,171,036,545 | I_kwDOCUB6oc5FzJmB | 16,195 | Gpt2 large for onnx exportation and int8 quantization | {
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"Hi @jinfagang as far as I know, the `transformers.onnx` package _should_ work for exporting large models. The only difference is that you'll typically see a number of additional files are created because ONNX uses Protobuf and this can only serialise files in 2GB chunks.\r\n\r\nIt would be helpful to have a reprod... | 1,647 | 1,647 | null | NONE | null | Hi, for model big as 7GB, does transformers support export to onnx?? Any tutorial about big model? | {
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https://api.github.com/repos/huggingface/transformers/issues/16194 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16194/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16194/comments | https://api.github.com/repos/huggingface/transformers/issues/16194/events | https://github.com/huggingface/transformers/pull/16194 | 1,171,025,581 | PR_kwDOCUB6oc40iHsO | 16,194 | clearer model variable naming: blenderbot_small | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,647 | 1,647 | 1,647 | CONTRIBUTOR | null | # What does this PR do?
clearer model variable naming: blenderbot_small
<img width="1512" alt="Ekran Resmi 2022-03-16 16 27 40" src="https://user-images.githubusercontent.com/58150504/158600522-808954f1-9519-4a56-9a07-c3649faac819.png">
## 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._"
] | 1,647 | 1,647 | 1,647 | MEMBER | null | # What does this PR do?
Quick fixes to the xtreme-s example script (target columns and readme) | {
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https://api.github.com/repos/huggingface/transformers/issues/16192 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16192/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16192/comments | https://api.github.com/repos/huggingface/transformers/issues/16192/events | https://github.com/huggingface/transformers/pull/16192 | 1,170,941,102 | PR_kwDOCUB6oc40h1n6 | 16,192 | clearer model variable naming: blenderbot | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,647 | 1,647 | 1,647 | CONTRIBUTOR | null | # What does this PR do?
clearer model variable naming: blenderbot
<img width="1512" alt="Ekran Resmi 2022-03-16 15 12 18" src="https://user-images.githubusercontent.com/58150504/158587347-5934dc62-b07e-4fa1-b49a-5f3be4b0f250.png">
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dis... | {
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https://api.github.com/repos/huggingface/transformers/issues/16191 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16191/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16191/comments | https://api.github.com/repos/huggingface/transformers/issues/16191/events | https://github.com/huggingface/transformers/issues/16191 | 1,170,894,973 | I_kwDOCUB6oc5FynB9 | 16,191 | layoutlmv2 visual backbone pretrained on publaynet | {
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"Hi,\r\n\r\nThe LayoutLMv2 authors indeed leveraged a ResNeXT-FPN for the visual backbone. It was taken from this repo: https://github.com/hpanwar08/detectron2.\r\n\r\nHowever, we've just added the [Document Image Transformer (DiT)](https://huggingface.co/docs/transformers/master/en/model_doc/dit), which actually o... | 1,647 | 1,675 | 1,647 | NONE | null | @NielsRogge Amazing work thanks for sharing,
Does layoutlmv2's visual backbone utilize ResNeXt-FPN trained on Publaynet as described in the paper? If so, could you please point out where the weights are used to initialize the model in the repo? | {
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https://api.github.com/repos/huggingface/transformers/issues/16190 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16190/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16190/comments | https://api.github.com/repos/huggingface/transformers/issues/16190/events | https://github.com/huggingface/transformers/issues/16190 | 1,170,822,564 | I_kwDOCUB6oc5FyVWk | 16,190 | Initialized DETR backbone weights do not match with actual pretrained weights | {
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"Hello again! Tagged @NielsRogge, maybe you can help? I tried by hand to track the moment when the weights of the backbone change and until [that moment](https://github.com/huggingface/transformers/blob/main/src/transformers/models/detr/modeling_detr.py#:~:text=apply%20final%20processing-,self.post_init(),-%23%20ta... | 1,647 | 1,654 | null | NONE | null | Hello everybody!
My task is to initialize DETR Object Detection model with my own pretrained backbone (for example, ResNet-50). So, in Detr class (I took the code from [this Hugging Face tutorial](https://github.com/NielsRogge/Transformers-Tutorials/blob/master/DETR/Fine_tuning_DetrForObjectDetection_on_custom_data... | {
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https://api.github.com/repos/huggingface/transformers/issues/16189 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16189/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16189/comments | https://api.github.com/repos/huggingface/transformers/issues/16189/events | https://github.com/huggingface/transformers/pull/16189 | 1,170,803,875 | PR_kwDOCUB6oc40hYBq | 16,189 | Update a CI job step name | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,647 | 1,647 | 1,647 | COLLABORATOR | null | # What does this PR do?
Update the step name from `Run all non-slow tests on GPU` to `Run all tests on GPU` for scheduled CI test run. | {
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https://api.github.com/repos/huggingface/transformers/issues/16188 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16188/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16188/comments | https://api.github.com/repos/huggingface/transformers/issues/16188/events | https://github.com/huggingface/transformers/pull/16188 | 1,170,733,469 | PR_kwDOCUB6oc40hJK2 | 16,188 | RegNet | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Updated the codebase to use `config` when is possible. I had to update `ResNetModel` as well to make `make fixup` happy :)",
"Conversion script for the 10B regnet model added + needed changes inside `PretrainedModel._load_pretraine... | 1,647 | 1,649 | 1,649 | CONTRIBUTOR | null | # What does this PR do?
This WIP PR adds [RegNet](https://arxiv.org/abs/2003.13678).
Currently, the model can be used as follows
```python
from transformers import RegNetConfig, RegNetForImageClassification
import requests
from io import BytesIO
res = requests.get('https://github.com/huggingface/transforme... | {
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https://api.github.com/repos/huggingface/transformers/issues/16187 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16187/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16187/comments | https://api.github.com/repos/huggingface/transformers/issues/16187/events | https://github.com/huggingface/transformers/pull/16187 | 1,170,667,220 | PR_kwDOCUB6oc40g7Un | 16,187 | Fix `LayoutLMv2` tokenization docstrings | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Will open a follow-up PR for `LayoutXLM` after accepted and merged.",
"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 t... | 1,647 | 1,650 | 1,650 | CONTRIBUTOR | null | # What does this PR do?
The tokenizers of `LayoutLMv2` don't accept `is_split_into_words` keyword for `__call__`. Thus, I created a dedicated kwargs docstring to replace the one in `src/transformers/tokenization_utils_base.py` being used.
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https://api.github.com/repos/huggingface/transformers/issues/16186 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16186/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16186/comments | https://api.github.com/repos/huggingface/transformers/issues/16186/events | https://github.com/huggingface/transformers/issues/16186 | 1,170,618,091 | I_kwDOCUB6oc5Fxjbr | 16,186 | Truncation when tokenizer does not have `max_length` defined | {
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"Try this\r\n`tokenizer(sentence, truncation=True, max_length=512)`\r\n\r\n`model.config.max_position_embeddings` is the right way to see the max sequence length",
"Sounds good, thanks for the confirmation!"
] | 1,647 | 1,648 | 1,648 | NONE | null | Hello,
I'm currently writing some code using transformers, and have something similar to:
```python
model = AutoModel.from_pretrained(model_name, output_hidden_states=True)
tokenizer = AutoTokenizer.from_pretrained(tokenizer_name)
ids = tokenizer.encode(sentence, truncation=True)
```
The issue I am facin... | {
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https://api.github.com/repos/huggingface/transformers/issues/16185 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16185/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16185/comments | https://api.github.com/repos/huggingface/transformers/issues/16185/events | https://github.com/huggingface/transformers/issues/16185 | 1,170,572,255 | I_kwDOCUB6oc5FxYPf | 16,185 | CLIPVisionModel errors on trying to load openai/clip-vit-base-patch16 | {
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"Thank you for reporting this! Looking into it.",
"Found the issue, `CLIPVisionConfig` does not correctly copy the vision arguments from the `CLIPConfig`. It uses the default values., which are defined for the patch32 model.\r\n\r\nA quick fix to get this working for now is to load `CLIPConfig`, retrieve the `vis... | 1,647 | 1,647 | 1,647 | NONE | null | `CLIPVisionModel` errors on trying to load [openai/clip-vit-base-patch16](https://huggingface.co/openai/clip-vit-base-patch16), which was added to HF (using `CLIPModel` for loading `patch16` as the documentation example for that repo works without error)
It appears that the model is architected as the `patch32` conf... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thanks, @Gerard-170! I will review it during the week :)",
"Hola @Gerard-170! I just wanted to follow up with your PR 🤗! Please let me know if you need anything else.",
"Hi! @omarespejel Well I was waiting the review. whether y... | 1,647 | 1,652 | 1,652 | CONTRIBUTOR | null | # What does this PR do?
This PR is related to #15947 issue.
This PR translates the model_sharing.mdx file to a spanish version of it and save it into transformers\docs\source_es path. This translation tries to keep the structure and ideas behind each statement, adding some words and translation where there's not s... | {
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https://api.github.com/repos/huggingface/transformers/issues/16183 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16183/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16183/comments | https://api.github.com/repos/huggingface/transformers/issues/16183/events | https://github.com/huggingface/transformers/pull/16183 | 1,170,389,450 | PR_kwDOCUB6oc40gByG | 16,183 | [Xtreme-S] fix some namings | {
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"@anton-l - merging this now already given the time constraint. Could you please revise this script tomorrow (make sure it works?)",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_16183). All of your documentation changes will be reflected on that endpoint."
] | 1,647 | 1,647 | 1,647 | 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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"_The documentation is not available anymore as the PR was closed or merged._",
"Sure, no problem @gante . The tests ran without a problem."
] | 1,647 | 1,647 | 1,647 | CONTRIBUTOR | null | # What does this PR do?
Add the unpack_input decorator for convnext (see #16051)
<!-- Remove if not applicable -->
Fixes # (issue)
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x ] Did you read the [contributor guideline](... | {
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https://api.github.com/repos/huggingface/transformers/issues/16180 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16180/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16180/comments | https://api.github.com/repos/huggingface/transformers/issues/16180/events | https://github.com/huggingface/transformers/pull/16180 | 1,170,285,514 | PR_kwDOCUB6oc40fsDN | 16,180 | Small fixes to the documentation | {
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] | 1,647 | 1,647 | 1,647 | COLLABORATOR | null | # What does this PR do?
This PR fixes a few syntax errors in the doc. | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@Rocketknight1 Any idea on why this is failing?\r\nOnly made modifications to Bert and Rembert, with copies to the other seven models based on make fix-copies.\r\nModel template seems to fail due to a bad import of Optional, from wha... | 1,647 | 1,647 | 1,647 | CONTRIBUTOR | null | Added type annotations to Rembert per the guidelines. Modified Bert where copied from transformers.models.bert.modeling_bert
#16059
@Rocketknight1
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] | 1,647 | 1,647 | 1,647 | CONTRIBUTOR | null | # What does this PR do?
clearer model variable naming: funnel
<img width="1512" alt="Ekran Resmi 2022-03-15 22 59 16" src="https://user-images.githubusercontent.com/58150504/158461148-2dc37be1-e491-49ac-9d0d-a47ee5f2d8b4.png">
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss... | {
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"Note make fixup unable to run in my environment w/ the error message:\r\n\r\n```\r\n/usr/bin/sh: -c: line 2: unexpected EOF while looking for matching `\"'\r\n/usr/bin/sh: -c: line 3: syntax error: unexpected end of file\r\nmake: *** [Makefile:10: modified_only_fixup] Error 2\r\n```\r\n",
"_The documentation is ... | 1,647 | 1,647 | 1,647 | CONTRIBUTOR | null | Added type annotations to Rembert per the guidelines. Modified Bert where copied from transformers.models.bert.modeling_bert
#16059
@Rocketknight1
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thanks, @Sangohe! I will review it during the week :)",
"> Muchas gracias! I left some simple comments.\r\n\r\nThank you for your comments. I've added all the suggestions and committed the new version",
"Thanks again for the revi... | 1,647 | 1,648 | 1,648 | CONTRIBUTOR | null | # What does this PR do?
Add the spanish version of [`accelerate.mdx`](https://github.com/huggingface/transformers/blob/master/docs/source/accelerate.mdx) to [`transformers/docs/source_es`](https://github.com/huggingface/transformers/tree/master/docs/source_es)
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] | 1,647 | 1,647 | 1,647 | CONTRIBUTOR | null | Adding type hints for forward methods in user-facing class for Reformer model (PyTorch) as mentioned in #16059
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] | 1,647 | 1,647 | 1,647 | CONTRIBUTOR | null | # What does this PR do?
Added type annotations for Perceiver Pytorch models as per https://github.com/huggingface/transformers/issues/16059
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_16173). All of your documentation changes will be reflected on that endpoint.",
"@sgugger @LysandreJik I think all the tests are passing now. Is there any thing I should be extra careful about with this / test in some form ... | 1,647 | 1,650 | 1,650 | CONTRIBUTOR | null | # What does this PR do?
- Remove the need to get 2X RAM when loading from h5 file
- Remove the need to have TF present to load `from_tf=True` (This is reduced to h5 only)
A much better version (imo) of the finale code resides here:
https://github.com/Narsil/transformers/pull/4
Keeping separate PRs since it... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_16172). All of your documentation changes will be reflected on that endpoint."
] | 1,647 | 1,649 | 1,649 | CONTRIBUTOR | null | # What does this PR do?
Adds type hints to the TensorFlow implementation of the XLM model.
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"_The documentation is not available anymore as the PR was closed or merged._",
"Hi @LysandreJik , unfortunately, there's no working example code for pre-training in the TF models repo yet (I did some experiments, but I was not able to get a working setup). However, there's a Roformer code (https://github.com/ten... | 1,647 | 1,649 | 1,649 | COLLABORATOR | null | Hi,
after training some BERT models with the TF2 implementation from the TF models repo, I just made the following observations:
The training code was deprecated a while ago, and now lives under the `legacy` namespace. I have trained models with this "legacy" implementation but the TF2 conversion script is no lon... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Merging. as all mt5 models are crashing on master now."
] | 1,647 | 1,647 | 1,647 | MEMBER | null | # What does this PR do?
Add the `relative_attention_max_distance` attribute in `MT5Config`.
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<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
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"To get more familiar with the library management/maintenance, I would like hear from you regarding: does this count as a breaking change?\r\n",
"_The documentation is not available anymore as the PR was closed or merged._",
"Merge now since this is clearly a bug, as well as a tiny change"
] | 1,647 | 1,651 | 1,647 | COLLABORATOR | null | # What does this PR do?
Current `FlaxRoFormerClassificationHead` use hard-coded activation `nn.tanh`, but the PyTorch version `RoFormerClassificationHead` use `ACT2FN[self.config.hidden_act]` which is by default `gelu` (and this is the one used by the default checkpoint's config).
This PR fixes this activation is... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,647 | 1,647 | 1,647 | COLLABORATOR | null | # What does this PR do?
Fix some Flax models where the last element in `hidden_states` is different between PT/Flax version.
## More context
Some models have
```
last_hidden_state = self.layer_norm(last_hidden_state)
```
In Pytorch version, the returned `hidden_states` have this `last_hidden_state` (a... | {
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"tests results using pytest 👇 \r\n\r\n```\r\nRUN_SLOW=1 pytest -vv tests/transfo_xl/test_modeling_tf_transfo_xl.py\r\n\r\ntests/transfo_xl/test_modeling_tf_transfo_xl.py::TFTransfoXLModelTest::test_attention_outputs <- tests/test_modeling_tf_common.py PASSED [ 2%]\r\ntests/transf... | 1,647 | 1,647 | 1,647 | CONTRIBUTOR | null | # What does this PR do?
Unpacks TF model inputs through a decorator, improving code clarity for the transformer XL model. To be read with issue #16051 , which holds the description of the problem, the proposed solution, and future plan.
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you ca... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_16164). All of your documentation changes will be reflected on that endpoint.",
"it seems like BART model was not updated yet, hence the inconsistency",
"@Tegzes Unfortunately this will have to wait for the BART PR to avo... | 1,647 | 1,647 | 1,647 | CONTRIBUTOR | null | Adding type hints for forward methods in user-facing class for Pegasus model (PyTorch) as mentioned in #16059
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