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https://api.github.com/repos/huggingface/transformers/issues/19178 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19178/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19178/comments | https://api.github.com/repos/huggingface/transformers/issues/19178/events | https://github.com/huggingface/transformers/pull/19178 | 1,384,481,366 | PR_kwDOCUB6oc4_iHRx | 19,178 | Fix cached lookup filepath on windows for hub | {
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"Re-ran black on hub.py to fix a spacing inconsistency 💀",
"_The documentation is not available anymore as the PR was closed or merged._",
"Mmm, some of the failure on the CI are due to a bug now fixed in the return of `cached_file`. Could you do a quick rebase on the main branch so I can see clearer in the fa... | 1,663 | 1,664 | 1,664 | CONTRIBUTOR | null | # What does this PR do?
Add small safety mechanism to hub.py for cached lookups of model files on Windows systems.
Windows systems resolve files using `C:\\Path\\To\\File.ext` under the hood in Python, this makes the `"snapshots/([^/]+)/"` regex fail to find the commit hash. So this simply adds a safety mechanism... | {
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"I have a similar situation. I had image classification working a couple of weeks ago with a local (disk) dataset, using run_image_classification.py, but now that code no longer works.\r\n\r\nI run the script within a Jupyter Notebook with\r\n```\r\n%run Experimento_5/run_image_classification.py\\\r\n--train_dir {r... | 1,663 | 1,671 | 1,664 | NONE | null | ### System Info
Dear all,
Thank you for your great work. I have tried to run ```image-classification``` example on my simple dataset and I got this error. The version of transformers I used is the newest one. Do you have any idea what happened?
Thanks very much!
```WARNING:datasets.builder:Using custom data... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,663 | 1,664 | 1,664 | CONTRIBUTOR | null | Bumps [protobuf](https://github.com/protocolbuffers/protobuf) from 3.19.4 to 3.19.5.
<details>
<summary>Release notes</summary>
<p><em>Sourced from <a href="https://github.com/protocolbuffers/protobuf/releases">protobuf's releases</a>.</em></p>
<blockquote>
<h2>Protocol Buffers v3.19.5</h2>
<h1>C++</h1>
<ul>
<li>Reduce... | {
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"Thank you for being verified!",
"_The documentation is not available anymore as the PR was closed or merged._",
"This looks so clean !",
"Opened Hub Pull requests to convert the following weights:\r\n- https://huggingface.co/roberta-base/discussions/3\r\n- https://huggingface.co/roberta-large/discussions/1\r... | 1,663 | 1,664 | 1,664 | COLLABORATOR | null | # What does this PR do?
This PR introduces the necessary code changes to use safetensors weight file as a primary source. | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_19174). All of your documentation changes will be reflected on that endpoint.",
"Hi,\r\n\r\nThanks for your PR! Wonder if it makes sense to add another language model on top of the decoder of TrOCR (which already is a langu... | 1,663 | 1,670 | 1,670 | NONE | null | # What does this PR do?
This PR adds `TrOCRProcessorWithLM` which gives us the ability to add a Kenlm Langauge model to improve the metrics results of TrOCR
<!--
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 ... | {
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"> LGTM! 👍\r\n> \r\n> is the line that sets the non-Keras seed still needed? (`>>> tf.random.set_seed(3)`)\r\n\r\nNo we don't need it :-) Removed it.",
"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,663 | 1,664 | 1,664 | COLLABORATOR | null | # What does this PR do?
Since TF 2.10, `tf.random.set_seed` with a fixed seed won't give the same model weights anymore. See the [release note](https://github.com/tensorflow/tensorflow/releases/tag/v2.10.0). We need `tf.keras.utils.set_random_seed()` for this purpose.
This PR fixes the doctest for `TFDeiTForImage... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@sgugger @amyeroberts @NielsRogge all comments are addressed, could you approve the PR if everything looks good?"
] | 1,663 | 1,664 | 1,664 | CONTRIBUTOR | null | # What does this PR do?
- Improves MaskFormer docs, corrects minor typos
- Restructures `MaskFormerFeatureExtractor.post_process_panoptic_segmentation` for better readability, adds target_sizes argument for optional resizing
- Adds `post_process_semantic_segmentation` and `post_process_instance_segmentation` methods... | {
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"waiting for the tests and docs rendering by HF docs bot to take a final view",
"You might need an empty commit to re-trigger the doc build job.",
"_The documentation is not available anymore as the PR was closed or merged._",
"seems like all links are working now\r\nready to merge from my side"
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"_The documentation is not available anymore as the PR was closed or merged._",
"Added in `Transformers testing design, internal document` on Notion.\r\n\r\n\r\n<img width=\"545\" alt=\"Screenshot 2022-09-23 191436\" src=\"https://user-images.githubusercontent.com/2521628/192018244-918525d6-f9a8-4077-a8a1-e1ccc2b... | 1,663 | 1,664 | 1,664 | COLLABORATOR | null | # What does this PR do?
⚠️ **Before merge, I need to build the new push CI images that have the new tags.**
Currently, if `setup.py` is changed, Push CI will re-build the CI images before running tests.
https://github.com/huggingface/transformers/blob/7e84723fe4e9a232e5e27dc38aed373c0c7ab94a/.github/workflows/s... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,663 | 1,663 | 1,663 | COLLABORATOR | null | # What does this PR do?
So we see which runners are offline directly in the report.
Currently, this information is added only if the check is run through `check_runner_status.yml`, where all runners are checked but reported to scheduled CI channel. Adding this information avoids confusion in the case where push/d... | {
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"@sgugger @@spigo900 please try with PR, it works for me to do HPO DDP with GPU",
"@yao-matrix",
"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,663 | 1,666 | 1,663 | CONTRIBUTOR | null | Signed-off-by: Wang, Yi A <yi.a.wang@intel.com>
# What does this PR do?
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"_The documentation is not available anymore as the PR was closed or merged._",
"Going forward, let's check generation with:\r\n```python\r\n#!/usr/bin/env python3\r\nimport whisper\r\nimport jiwer\r\nimport numpy as np\r\nimport torch\r\nfrom datasets import load_dataset\r\nfrom transformers import WhisperForCon... | 1,663 | 1,665 | 1,665 | COLLABORATOR | null | # What does this PR do?
Adds Whisper to transformers
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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... | 1,663 | 1,666 | 1,666 | NONE | null | ### System Info
libtorch 1.21
macos
Hi:
I want to use huggingface ,but ,I find the model api almost python api, I use the cpp env for libtorch , would you like support cpp ,or rewrite the code with cpp?
thanks
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [... | {
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"Are the labels in lower case?",
"Maybe of interest to @sanchit-gandhi as well",
"> Are the labels in lower case?\r\n\r\nYes, it's lower case\r\n\r\nHere is the csv file looks like:\r\n$ head dataset.csv \r\npath,transcription\r\nwav/000010001.WAV,there were barrels of wine in the huge cellar\r\nwav/000010002.W... | 1,663 | 1,664 | 1,664 | NONE | null | ### System Info
- `transformers` version: 4.22.0.dev0
- Platform: Linux-5.15.0-48-generic-x86_64-with-glibc2.10
- Python version: 3.8.8
- Huggingface_hub version: 0.8.1
- PyTorch version (GPU?): 1.12.1+cu116 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,663 | 1,664 | 1,664 | MEMBER | null | This PR proposes moving `Auto Classes` under the `Main Classes` section instead. As pointed out by @patrickvonplaten, the docs look a little strange because the `Auto Classes` doc isn't bold like the rest of the section and the header name doesn't exactly fit. Since bolded titles mean it is expandable we can't put `Aut... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"In retrospect I really should have foreseen that one, I'm sorry!"
] | 1,663 | 1,663 | 1,663 | COLLABORATOR | null | # What does this PR do?
@Rocketknight1 added a new class variable for `TrainingArguments` but put it before the docstring, which erased all doc for this class :grimacing: This PR fixes that. | {
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"(duplicate of #19199)"
] | 1,663 | 1,664 | 1,664 | NONE | null | Hello All,
I am trying to load a big text file for pertaining a BERT model from scratch the size of the txt file is about 11GB and trying to load the model for pertaining is exhausting all the RAM on the system.
Is it possible to load all the data in batches and then perform training.
I am a bit new to hugging... | {
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] | 1,663 | 1,663 | 1,663 | MEMBER | null | @sgugger FYI.
PR w.r.t https://github.com/huggingface/transformers/pull/18815 | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Hey @sgugger, I mostly followed your suggestion in #15857, except instead of having a list of eval_datasets and another training arg, I solved it via passing a dict of eval_datasets. I thought a dict would work better because we also... | 1,663 | 1,706 | 1,663 | CONTRIBUTOR | null | # What does this PR do?
With this PR `Trainer` and `Seq2SeqTrainer` support evaluating on multiple datasets. For this, the `eval_dataset` and `compute_metrics` parameters have been updated. In order to evaluate on multiple datasets, `eval_dataset` should be a dict mapping a dataset name to a Dataset. In `_maybe_log_sa... | {
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"Maybe of interest to @ArthurZucker :)",
"Having a look right now! Thanks for finding this 🤗 "
] | 1,663 | 1,668 | 1,668 | NONE | null | ### System Info
- `transformers` version: 4.22.0
- Platform: Linux-4.4.0-210-generic-x86_64-with-glibc2.23
- Python version: 3.9.12
- Huggingface_hub version: 0.7.0
- PyTorch version (GPU?): 1.12.0 (True)
- Tensorflow version (GPU?): 2.9.1 (True)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version... | {
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https://api.github.com/repos/huggingface/transformers/issues/19156 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19156/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19156/comments | https://api.github.com/repos/huggingface/transformers/issues/19156/events | https://github.com/huggingface/transformers/pull/19156 | 1,382,310,506 | PR_kwDOCUB6oc4_bCO1 | 19,156 | Reduce LR for TF MLM example test | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,663 | 1,663 | 1,663 | MEMBER | null | The TF MLM example test was a little flakey, depending on the exact shuffling order of the dataset. I reduced the LR to 1e-4 and it seems to be consistently around 36 final perplexity now (compared to the test threshold of 42).
Cc @sgugger | {
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https://api.github.com/repos/huggingface/transformers/issues/19155 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19155/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19155/comments | https://api.github.com/repos/huggingface/transformers/issues/19155/events | https://github.com/huggingface/transformers/issues/19155 | 1,382,162,991 | I_kwDOCUB6oc5SYiIv | 19,155 | load_in_8bit=True crashes GPT-J when running model.generate() | {
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"Hey @petertjmills -- can you share with us the error you're seeing or, better yet, a link to a colab with the error?",
"Thank you for the reply! I threw together a quick notebook to send and it worked 🙄\r\n\r\nI've found the source of the issue. In the bitsandbytes readme they specify:\r\n```\r\nHardware requir... | 1,663 | 1,663 | 1,663 | NONE | null | ### System Info
Colab Pro, NVIDIA P100
Transformers: 4.22.1
Accelerate: 0.12.0
- `transformers` version: 4.22.1
- Platform: Linux-5.10.133+-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.7.14
- Huggingface_hub version: 0.9.1
- PyTorch version (GPU?): 1.12.1+cu113 (True)
- Tensorflow version (GPU?): 2.8.... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thank you! It is great!"
] | 1,663 | 1,663 | 1,663 | CONTRIBUTOR | null | # What does this PR do?
This PR improves the docs of Conditional DETR, by adding doc tests + a figure summarizing the paper.
cc @DeppMeng | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,663 | 1,664 | 1,664 | CONTRIBUTOR | 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/19152 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19152/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19152/comments | https://api.github.com/repos/huggingface/transformers/issues/19152/events | https://github.com/huggingface/transformers/pull/19152 | 1,381,818,886 | PR_kwDOCUB6oc4_Zbq5 | 19,152 | [TensorFlow] Adding LeViT | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_19152). 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... | 1,663 | 1,678 | 1,678 | CONTRIBUTOR | null | # Adding TensorFlow version of LeViT
This PR adds the TensorFlow version of [LeViT](https://arxiv.org/abs/2104.01136).
## Before submitting
- [x] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md#start-contributing-pull-requests),
Pull Request s... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,663 | 1,663 | 1,663 | CONTRIBUTOR | null | Signed-off-by: Wang, Yi A <yi.a.wang@intel.com>
# What does this PR do?
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,663 | 1,663 | 1,663 | CONTRIBUTOR | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/19149 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19149/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19149/comments | https://api.github.com/repos/huggingface/transformers/issues/19149/events | https://github.com/huggingface/transformers/pull/19149 | 1,381,466,534 | PR_kwDOCUB6oc4_YQ0g | 19,149 | Fix `m2m_100.mdx` doc example missing `labels` | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,663 | 1,664 | 1,664 | CONTRIBUTOR | null | # What does this PR do?
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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... | 1,663 | 1,699 | 1,667 | NONE | null | ### System Info
- `transformers` version: 4.21.2
- Platform: Linux-4.15.0-192-generic-x86_64-with-debian-buster-sid
- Python version: 3.7.13
- Huggingface_hub version: 0.9.1
- PyTorch version (GPU?): 1.7.1 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
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https://api.github.com/repos/huggingface/transformers/issues/19147 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19147/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19147/comments | https://api.github.com/repos/huggingface/transformers/issues/19147/events | https://github.com/huggingface/transformers/issues/19147 | 1,381,433,864 | I_kwDOCUB6oc5SVwII | 19,147 | Is BertWordPieceTokenizer behaviour deterministic on the same data? | {
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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... | 1,663 | 1,667 | 1,667 | NONE | null | So, I accidentally lost BertWordPieceTokenizer checkpoint, what will happen If I retrain it from the same data? Will the result be the same? | {
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https://api.github.com/repos/huggingface/transformers/issues/19334 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19334/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19334/comments | https://api.github.com/repos/huggingface/transformers/issues/19334/events | https://github.com/huggingface/transformers/issues/19334 | 1,397,430,578 | I_kwDOCUB6oc5TSxky | 19,334 | `truncation='do_not_truncate'` is not working equivalently to `truncation=False` | {
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"Hi,\r\nThis issue belongs in `transformers` afaik. All the logic should be handled there as `truncation=False` does not mean anything for this library (IIRC).\r\n\r\nIf you can reproduce the bug just using `tokenizers` and not `transformers` then it's probably that the bug in this library.",
"Thanks, closing and... | 1,663 | 1,666 | 1,666 | CONTRIBUTOR | null | Hi,
`truncation='do_not_truncate'` is not working equivalently to `truncation=False`.
When using `truncation=False` and providing `max_length`, it defaults to `'longest_first'` truncation strategy.
Whether this default behavior is natural or not, isn't `False` supposed to be identical to `'do_not_truncate'`?
This... | {
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https://api.github.com/repos/huggingface/transformers/issues/19146 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19146/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19146/comments | https://api.github.com/repos/huggingface/transformers/issues/19146/events | https://github.com/huggingface/transformers/pull/19146 | 1,381,353,833 | PR_kwDOCUB6oc4_X4jq | 19,146 | Add some tests for check_dummies | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_19146). All of your documentation changes will be reflected on that endpoint."
] | 1,663 | 1,663 | 1,663 | COLLABORATOR | null | # What does this PR do?
This PR adds a new subfolder in the `tests` folder for the tests of the quality scripts used in the CI (so not inside the Transformers lib). As seen recently with the `check_dummies` script, when people apply too many modifications to our repo and update those scripts, there might be some bre... | {
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https://api.github.com/repos/huggingface/transformers/issues/19145 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19145/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19145/comments | https://api.github.com/repos/huggingface/transformers/issues/19145/events | https://github.com/huggingface/transformers/pull/19145 | 1,381,215,835 | PR_kwDOCUB6oc4_XbCs | 19,145 | Fixed typo in generation_utils.py | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,663 | 1,663 | 1,663 | CONTRIBUTOR | null | Changed "unfeasable" to "unfeasible"
# What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/19144 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19144/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19144/comments | https://api.github.com/repos/huggingface/transformers/issues/19144/events | https://github.com/huggingface/transformers/pull/19144 | 1,381,133,300 | PR_kwDOCUB6oc4_XJd5 | 19,144 | Fix dummy creation for multi-frameworks objects | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_19144). All of your documentation changes will be reflected on that endpoint."
] | 1,663 | 1,663 | 1,663 | COLLABORATOR | null | # What does this PR do?
Follow-up from #17304, this finishes fixing the dummy creation script when there is more than one framework on which the object depends.
The problem is that it does not recognize the lines in the init like:
```
if not (is_sentencepiece_available() and is_tokenizers_available()):
```... | {
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https://api.github.com/repos/huggingface/transformers/issues/19143 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19143/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19143/comments | https://api.github.com/repos/huggingface/transformers/issues/19143/events | https://github.com/huggingface/transformers/pull/19143 | 1,380,994,856 | PR_kwDOCUB6oc4_Wscs | 19,143 | fix a bug in beam_search (moving log_softmax after logits_processor) | {
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"_The documentation is not available anymore as the PR was closed or 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 thread.\n\nPlease note that issues that do not follow the [contributing gu... | 1,663 | 1,666 | 1,666 | NONE | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/19142 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19142/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19142/comments | https://api.github.com/repos/huggingface/transformers/issues/19142/events | https://github.com/huggingface/transformers/issues/19142 | 1,380,989,321 | I_kwDOCUB6oc5SUDmJ | 19,142 | use `@unittest.skipIf` decorators inside tokenizer's tests instead of `if ...: return` | {
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"Let me ping you @ydshieh as it seems to me that you have a great knowledge of testing and your opinion on it could be really appreciated! (and cc @LysandreJik and @sgugger for visibility)",
"Would `test_sentencepiece` be an attribute of the common tester? Not sure where it comes from in your code sample ;-)",
... | 1,663 | 1,669 | 1,669 | CONTRIBUTOR | null | ### Feature request
Currently in tokenizer testing, many tests coded in `test_tokenization_common.py` are not relevant for all tokenizers. In most cases, when the test is not relevant, it is still run but no verification is done in it. See the snippet below for example:
https://github.com/huggingface/transformers/blo... | {
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https://api.github.com/repos/huggingface/transformers/issues/19141 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19141/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19141/comments | https://api.github.com/repos/huggingface/transformers/issues/19141/events | https://github.com/huggingface/transformers/pull/19141 | 1,380,939,098 | PR_kwDOCUB6oc4_Wg3X | 19,141 | Support depencencies from github | {
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"Tests failure are not related to this PR (but to `datasets`, sorry)\r\n\r\n<s>May I merge anyway ?</s>\r\n\r\nEDIT: actually the CI has been fixed on main, let me just update this PR",
"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,663 | 1,663 | 1,663 | MEMBER | null | Updated the `deps` regex to support dependencies from github.
For example I often want to run the `transformers` CI but with the `main` branch of `datasets` using
```
"datasets @ git+https://github.com/huggingface/datasets@main#egg=datasets",
``` | {
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https://api.github.com/repos/huggingface/transformers/issues/19140 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19140/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19140/comments | https://api.github.com/repos/huggingface/transformers/issues/19140/events | https://github.com/huggingface/transformers/pull/19140 | 1,380,841,244 | PR_kwDOCUB6oc4_WMZp | 19,140 | [fix] Add DeformableDetrFeatureExtractor | {
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] | 1,663 | 1,663 | 1,663 | CONTRIBUTOR | null | # What does this PR do?
As pointed out by @Deppmeng who is adding Conditional DETR in #18948, the postprocessing of Deformable DETR is actually different compared to regular DETR. Namely, a sigmoid activation function is used rather than softmax, and the no-object class is included, whereas DETR discards this class.... | {
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https://api.github.com/repos/huggingface/transformers/issues/19139 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19139/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19139/comments | https://api.github.com/repos/huggingface/transformers/issues/19139/events | https://github.com/huggingface/transformers/pull/19139 | 1,380,794,360 | PR_kwDOCUB6oc4_WCt6 | 19,139 | Allowing users to use the latest `tokenizers` release ! | {
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"You need to run `make style` when changing the setup.",
"_The documentation is not available anymore as the PR was closed or merged._",
"Failure seem unrelated. Yet rebasing on main to remove the failure linked to the Datasets release and re-laucnhing spurious tests would be helpful to ease everyone's mind :-)... | 1,663 | 1,664 | 1,663 | CONTRIBUTOR | null | # What does this PR do?
- Allow users to use the most recent `tokenizers` version.
- Should be 100% backward compatible, but there were quite large changes to the actual codebase.
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https://api.github.com/repos/huggingface/transformers/issues/19138 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19138/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19138/comments | https://api.github.com/repos/huggingface/transformers/issues/19138/events | https://github.com/huggingface/transformers/issues/19138 | 1,380,735,224 | I_kwDOCUB6oc5STFj4 | 19,138 | `is_torch_tpu_available() got an unexpected keyword argument 'check_device'` | {
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"You are trying to run the examples of the main branch along with an older version of Transformers. Either upgrade your Transformers or use the [examples matching v4.18.0](https://github.com/huggingface/transformers/tree/v4.18.0/examples).",
"Thanks for your response."
] | 1,663 | 1,663 | 1,663 | NONE | null | ### System Info
transformers==4.18.0
pytorch==1.12.0
pytorch-lightning==1.6.0
### Who can help?
@patrickvonplaten @sgugger @SaulLu
When I run `examples/pytorch/question-answering/run_qa.py`, it reports a bug that `is_torch_tpu_available() got an unexpected keyword argument 'check_device'`. I don't know why this ... | {
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https://api.github.com/repos/huggingface/transformers/issues/19137 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19137/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19137/comments | https://api.github.com/repos/huggingface/transformers/issues/19137/events | https://github.com/huggingface/transformers/issues/19137 | 1,380,651,831 | I_kwDOCUB6oc5SSxM3 | 19,137 | how to load multiple text files in LineByLineTextDataset ? | {
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"Hi everyone, \r\n\r\nI am a bit new to hugging face environment , I was trying to pretrain a model from scratch following taking some inspirations from this post\r\n\r\n[tutorial link](https://ireneli.eu/2021/03/28/deep-learning-19-training-mlm-on-any-pre-trained-bert-models/)\r\n\r\n Question : can I pass all the... | 1,663 | 1,663 | 1,663 | NONE | null | null | {
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https://api.github.com/repos/huggingface/transformers/issues/19136 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19136/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19136/comments | https://api.github.com/repos/huggingface/transformers/issues/19136/events | https://github.com/huggingface/transformers/issues/19136 | 1,380,595,558 | I_kwDOCUB6oc5SSjdm | 19,136 | `if not something` is ambiguous | {
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"Thank you for the issue! It's good to know the problems encountered. :hugs: \r\n\r\nOn the other hand, I'm not sure the case we want to catch is if `required_input` is equal to None (rather an empty list and maybe something else..). I don't have a typical case in mind but that would be the first thing we would nee... | 1,663 | 1,670 | 1,670 | NONE | null | ### System Info
- `transformers` version: 4.22.0
- Platform: Linux-4.19.157-1.20201118.el7.x86_64-x86_64-with-glibc2.17
- Python version: 3.8.3
- Huggingface_hub version: 0.9.1
- PyTorch version (GPU?): 1.10.2+cu111 (True)
- Tensorflow version (GPU?): 2.10.0 (True)
- Flax version (CPU?/GPU?/TPU?): 0.6.0 (gpu)
-... | {
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https://api.github.com/repos/huggingface/transformers/issues/19135 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19135/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19135/comments | https://api.github.com/repos/huggingface/transformers/issues/19135/events | https://github.com/huggingface/transformers/issues/19135 | 1,380,571,388 | I_kwDOCUB6oc5SSdj8 | 19,135 | Use metrics that consider the input as well as the (predicted, reference) tuple in the Trainer | {
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"I just saw that the feature is actually already added. \r\n\r\nOne can add the trainer argument --include_inputs_for_metrics\r\nand the compute_metrics will receive the inputs as the third element of the tuple."
] | 1,663 | 1,663 | 1,663 | NONE | null | ### Feature request
Allow the **compute_metrics()** in the **Trainer** to take into account the **original input** in addition to the predictions and labels.
### Motivation
It is currently possible to pass a custom compute_metrics() to the Trainer for evaluation. An example is
```
def compute_metrics(eval_preds... | {
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https://api.github.com/repos/huggingface/transformers/issues/19134 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19134/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19134/comments | https://api.github.com/repos/huggingface/transformers/issues/19134/events | https://github.com/huggingface/transformers/pull/19134 | 1,380,553,444 | PR_kwDOCUB6oc4_VQdE | 19,134 | Added the option to specify "use_one_hot=True" in the forward pass/mo… | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_19134). 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... | 1,663 | 1,667 | 1,667 | NONE | null | …del call. Allows to have optimizable inputs in the vector space of WordPiece.
# What does this PR do?
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,663 | 1,663 | 1,663 | CONTRIBUTOR | null | # What does this PR do?
[files tab](https://github.com/huggingface/transformers/pull/19133/files) should make it clear on what's being changed.
```py
if os.path.join(pretrained_model_name_or_path, WEIGHTS_NAME)
# will evaluate always to True as long as `pretrained_model_name_or_path` is a non-empty str
``` | {
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https://api.github.com/repos/huggingface/transformers/issues/19132 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19132/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19132/comments | https://api.github.com/repos/huggingface/transformers/issues/19132/events | https://github.com/huggingface/transformers/pull/19132 | 1,380,255,061 | PR_kwDOCUB6oc4_UVEv | 19,132 | oneccl_bindings_for_pytorch 1.12.0 prebuilt wheel does not work with … | {
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"@yao-matrix @sgugger please notice the issue and help review",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_19132). All of your documentation changes will be reflected on that endpoint.",
"@sgugger I agree with your point, so I upload another PR (https://github.com... | 1,663 | 1,666 | 1,666 | CONTRIBUTOR | null | …PyTorch 1.12.1
raise error in this condition and update the doc
Signed-off-by: Wang, Yi A <yi.a.wang@intel.com>
Fixes # (issue)
torch 1.12.1 does not work with intel ccl 1.12.0
## Before submitting
- [ ] 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._",
"Is there someone can review and merge this pr, thanks a lot! cc: @sgugger @ydshieh"
] | 1,663 | 1,663 | 1,663 | CONTRIBUTOR | null | # What does this PR do?
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The overwrite_cache parameter in this file is declared twice. Remove one of the two.
https://github.com/huggingface/transformers/blob/main/examples/pytorch/contrastive-image-text/run_clip.py
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"_The documentation is not available anymore as the PR was closed or merged._",
"Hi @stevenmanton \r\n\r\nThank you a lot for the PR! Currently the test will fail for the following \r\n```bash\r\nFAILED src/transformers/models/perceiver/modeling_perceiver.py::transformers.models.perceiver.modeling_perceiver.Perce... | 1,663 | 1,663 | 1,663 | CONTRIBUTOR | null | # What does this PR do?
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] | 1,663 | 1,664 | 1,664 | CONTRIBUTOR | null | # What does this PR do?
Throws a `ValueError` when `typical_p` argument is provided to text-generation, but its value or `do_sample=False` prevent typical decoding from happening as intended. Adds a line documenting typical decoding.
Most arguments to generate were previously covered in #18261 , but not `typical_... | {
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"The `model_type` in the config.json of this specific model seems to be wrong. The types currently supported that would work with LayoutLM are:\r\n- `layoutlm`\r\n- `layoutlmv2`\r\n- `layoutlmv3`\r\n- `layoutxlm`\r\n\r\nThe specified type is `layoutlm-tc`.",
"Cc @ankrgyl ",
"From the `transformers` side, I thin... | 1,663 | 1,666 | 1,666 | MEMBER | null | ### System Info
Colab, latest release
### Who can help?
@NielsRogge
### Information
- [ ] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or dataset (give details below)
### Reproduction... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Do you think we should add a special test for that @sgugger ? ",
"On it! 🤗",
"Just added a test, RAG works, I think I'll try to test most of our models just to be sure that there is no other strange pattern. ",
"Tested with `\... | 1,663 | 1,665 | 1,665 | COLLABORATOR | null | # What does this PR do?
Fixes #18776, by taking care of the particular case of absolute scope modifications
## Who can review?
| {
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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... | 1,663 | 1,666 | null | CONTRIBUTOR | null | ### Feature request
To add the TensorFlow port of the [LeViT](https://arxiv.org/abs/2104.01136) architecture. The architecture is currently present in the Transformers library in [PyTorch](https://github.com/huggingface/transformers/blob/main/src/transformers/models/levit/modeling_levit.py).
### Motivation
[LeViT](... | {
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https://api.github.com/repos/huggingface/transformers/issues/19122 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19122/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19122/comments | https://api.github.com/repos/huggingface/transformers/issues/19122/events | https://github.com/huggingface/transformers/pull/19122 | 1,379,436,771 | PR_kwDOCUB6oc4_RsTS | 19,122 | Skip `test_export_to_onnx` for `LongT5` if `torch` < 1.11 | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,663 | 1,663 | 1,663 | COLLABORATOR | null | # What does this PR do?
With torch `1.10`, We get some exception from C++ file.
```bash
Exception raised from index_select_out_cpu_ at ../aten/src/ATen/native/TensorAdvancedIndexing.cpp:887 (most recent call first):
frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x42 (0x7f60b7f4dd62 in /home/yih_... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,663 | 1,663 | 1,663 | CONTRIBUTOR | null | continues https://github.com/huggingface/transformers/issues/18564 @sgugger | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_19120). All of your documentation changes will be reflected on that endpoint.",
"@sgugger I'm getting the following error from `make fixup`:\r\n\r\n```\r\nChecking all objects are properly documented.\r\nTraceback (most rec... | 1,663 | 1,681 | 1,667 | CONTRIBUTOR | null | # What does this PR do?
This PR adds the relation extraction head of LayoutLMv2, which was a highly requested feature as seen in #14330 #15451 #18091 | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Hey @alaradirik, please also ping a core maintainer for review before merging PRs."
] | 1,663 | 1,663 | 1,663 | CONTRIBUTOR | null | # What does this PR do?
- Fixes a `BeitFeatureExtractor.post_process_semantic_segmentation()` assertion error when no `target_sizes` argument is provided
- Ensures post_process_semantic_segmentation returns a list of int64 PyTorch tensors
- Adds a test to ensure correct post-processing
## Before submitting
- [ ]... | {
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Copy-and-paste the text below in your GitHub issue and FILL OUT the two last points.
- `transformers` version: 4.22.1
- Platform: Linux-5.10.133+-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.7.14
- Huggingface_hub version: 0.9.1
- PyTorch version (GPU?): 1.12.1+cu113 (False)
- Tensorfl... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,663 | 1,663 | 1,663 | COLLABORATOR | null | # What does this PR do?
The current (wrong) schedule in `check_runner_status.yml`:
`* */1 * * *` -> “At every minute past every hour.”
But we want
`0 */1 * * *` -> “At minute 0 past every hour.”
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"cc @sgugger \r\n\r\nIf you want to open a PR, please go ahead!",
"You can just use\r\n`parser.parse_dict(yaml.safe_load(f))`",
"Which could all go in a `parse_yaml_file` method :-) Doing this and also refactoring the `parse_json_file` to use `parse_dict`, as well as adding small tests would be nice additions t... | 1,663 | 1,664 | 1,664 | CONTRIBUTOR | null | ### Feature request
HfArgumentParser now supports for parsing dict and json files, will it be possible to support for parsing the widely used yaml files?
### Motivation
I think using yaml is a good way to record arguments.
### Your contribution
Not yet. | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_19115). 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... | 1,663 | 1,669 | 1,669 | NONE | null | # What does this PR do?
support auto-compress for glue task | {
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https://api.github.com/repos/huggingface/transformers/issues/19114 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19114/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19114/comments | https://api.github.com/repos/huggingface/transformers/issues/19114/events | https://github.com/huggingface/transformers/issues/19114 | 1,378,725,479 | I_kwDOCUB6oc5SLa5n | 19,114 | GPT Neox Japanese is in the release notes for v4.22.X but does not appear to be in the v4.22.X package. | {
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"Hey @SO0529, sorry about that! That's on me, I missed this in the release notes. I just removed it. For now you can install the repo from source as you have noted in order to use it.\r\n\r\nThanks for letting me know!",
"Thank you for quick response and update the release note!\r\nWe are looking forward to the n... | 1,663 | 1,663 | 1,663 | CONTRIBUTOR | null | ### System Info
I've checked in Colab that GPT Neox Japanese is not in v4.22.1
```
- `transformers` version: 4.22.1
- Platform: Linux-5.10.133+-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.7.14
- Huggingface_hub version: 0.9.1
- PyTorch version (GPU?): 1.12.1+cu113 (False)
- Tensorflow version (GPU?): 2.... | {
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https://api.github.com/repos/huggingface/transformers/issues/19112 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19112/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19112/comments | https://api.github.com/repos/huggingface/transformers/issues/19112/events | https://github.com/huggingface/transformers/issues/19112 | 1,378,518,590 | I_kwDOCUB6oc5SKoY- | 19,112 | Problem trying to migrate cache | {
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"cc @sgugger ",
"I'm not too sure what the problem is, maybe it is due to the intermediate subfolder. This error should only happen once in any case, and you might have lost some cached files, but they will jsut be re-downloaded.",
"Thanks for the clarity. Didn't cause a problem otherwise.",
"This issue has ... | 1,663 | 1,667 | 1,667 | NONE | null | ### System Info
Using MacOS Big Sur v11.6.4 and jupyter lab v3.4.7.
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [x] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or dataset (give d... | {
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"@ArthurZucker could you take a look here (happy to answer questions about the model)",
"on it! ",
"Hi @ArthurZucker , do you have any updates on this by chance? I'm getting the same issue, but the results I get when benchmarking do not suggest random initialization of the weights.",
"Hey, it seems that the i... | 1,663 | 1,668 | 1,668 | NONE | null | ### System Info
tested on multiple versions
- `transformers` version: 4.12.3
- Platform: Linux-4.14.281-212.502.amzn2.x86_64-x86_64-with-glibc2.10
- Python version: 3.8.10
- PyTorch version (GPU?): 1.11.0+cu102 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not instal... | {
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https://api.github.com/repos/huggingface/transformers/issues/19110 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19110/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19110/comments | https://api.github.com/repos/huggingface/transformers/issues/19110/events | https://github.com/huggingface/transformers/pull/19110 | 1,378,296,181 | PR_kwDOCUB6oc4_N5VR | 19,110 | Add documentation of Trainer.create_model_card | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,663 | 1,663 | 1,663 | COLLABORATOR | null | # What does this PR do?
This PR adds some documentation for `Trainer.create_model_card` and fixes the type annotations. | {
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This PR makes sure the warning(s) about moving cache are only issued when there is a cache (so not on a fresh install). | {
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https://api.github.com/repos/huggingface/transformers/issues/19108 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19108/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19108/comments | https://api.github.com/repos/huggingface/transformers/issues/19108/events | https://github.com/huggingface/transformers/issues/19108 | 1,378,089,737 | I_kwDOCUB6oc5SI_sJ | 19,108 | Flax vs torch benchmark on Wav2vec2 | {
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"maybe of interest to @sanchit-gandhi ",
"Hey @ZurabDz! `FlaxWav2Vec2ForCTC` should be faster than `Wav2Vec2ForCTC` **if** the `__call__` method is just in time (JIT) compiled (_c.f._ https://jax.readthedocs.io/en/latest/jax-101/02-jitting.html). Could you share your code for running this benchmark? We can then g... | 1,663 | 1,666 | 1,666 | NONE | null | So my question is, should FlaxWav2Vec2ForCTC generally be faster than Wav2Vec2ForCTC?
1.14 s ± 138 ms per loop (mean ± std. dev. of 7 runs, 1 loop each) -> FlaxWav2Vec2ForCTC
37.7 ms ± 10.1 ms per loop (mean ± std. dev. of 7 runs, 1 loop each) -> Wav2Vec2ForCTC
so the question is, should flax be faster than th... | {
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https://api.github.com/repos/huggingface/transformers/issues/19107 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19107/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19107/comments | https://api.github.com/repos/huggingface/transformers/issues/19107/events | https://github.com/huggingface/transformers/pull/19107 | 1,378,086,831 | PR_kwDOCUB6oc4_NMYX | 19,107 | Add post_process_semantic_segmentation method to DPTFeatureExtractor | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,663 | 1,663 | 1,663 | CONTRIBUTOR | null | # What does this PR do?
Adds post_process_semantic_segmentation method to DPTFeatureExtractor.
I will open an issue and separate PRs to make sure that:
- Segmentation models (DETR, MaskFormer, SegFormer, etc.) have consistently named post-processing methods, arguments and outputs
- ImageSegmentationPipeline works... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_19106). 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... | 1,663 | 1,666 | 1,666 | 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.
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,663 | 1,663 | 1,663 | CONTRIBUTOR | null | # What does this PR do?
Adds post_process_semantic_segmentation method to `MobileViTFeatureExtractor`.
I will open an issue and separate PRs to make sure that
- Segmentation models (DETR, MaskFormer, SegFormer, etc.) have consistently named post-processing methods, arguments and outputs
- ImageSegmentationPipel... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,663 | 1,663 | 1,663 | CONTRIBUTOR | null | Testing https://github.com/huggingface/doc-builder/pull/296 | {
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https://api.github.com/repos/huggingface/transformers/issues/19103 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19103/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19103/comments | https://api.github.com/repos/huggingface/transformers/issues/19103/events | https://github.com/huggingface/transformers/pull/19103 | 1,377,818,909 | PR_kwDOCUB6oc4_MTJu | 19,103 | Improve vision models docs | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,663 | 1,663 | 1,663 | CONTRIBUTOR | null | # What does this PR do?
Improves the docs of several vision models:
* for `xxxForMaskedImageModeling` models, add a link to the `run_mim.py` script
* for `ViTMAEForPreTraining`, add a link to the `run_mae.py` script
* for ViT, add a tip about interpolation of pre-trained position embeddings (in order to fine-tune... | {
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https://api.github.com/repos/huggingface/transformers/issues/19102 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19102/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19102/comments | https://api.github.com/repos/huggingface/transformers/issues/19102/events | https://github.com/huggingface/transformers/pull/19102 | 1,377,774,978 | PR_kwDOCUB6oc4_MJgL | 19,102 | TF: check embeddings range | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"(cc @ydshieh -- this fixes a large number of scheduled CI failures)",
"@gante Is this PR ready to merge? I guess so, but would like to wait your confirmation (or better for you to merge).",
"> @gante Is this PR ready to merge? I ... | 1,663 | 1,663 | 1,663 | MEMBER | null | # What does this PR do?
Adds the same [check that was recently added to TFBart](https://github.com/huggingface/transformers/blob/ba7f2173cc578fe6d9f1cdb900d5af609f195cf6/src/transformers/models/bart/modeling_tf_bart.py#L751), which asserts that the inputs are within the embedding input range, in all models with toke... | {
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https://api.github.com/repos/huggingface/transformers/issues/19101 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19101/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19101/comments | https://api.github.com/repos/huggingface/transformers/issues/19101/events | https://github.com/huggingface/transformers/pull/19101 | 1,377,762,175 | PR_kwDOCUB6oc4_MGtX | 19,101 | Fix push ci workflow file | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,663 | 1,663 | 1,663 | COLLABORATOR | null | # What does this PR do?
#19054 breaks push CI due to a missing working dir in CI workflow file. Sorry. | {
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https://api.github.com/repos/huggingface/transformers/issues/19100 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19100/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19100/comments | https://api.github.com/repos/huggingface/transformers/issues/19100/events | https://github.com/huggingface/transformers/pull/19100 | 1,377,747,345 | PR_kwDOCUB6oc4_MDfc | 19,100 | Revert "Check self-hosted runners are online" | {
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Sorry, but I merged a PR that breaks push CI. Will try to fix it. | {
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https://api.github.com/repos/huggingface/transformers/issues/19099 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19099/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19099/comments | https://api.github.com/repos/huggingface/transformers/issues/19099/events | https://github.com/huggingface/transformers/pull/19099 | 1,377,745,293 | PR_kwDOCUB6oc4_MDCj | 19,099 | Beit postprocessing | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,663 | 1,663 | 1,663 | CONTRIBUTOR | null | # What does this PR do?
Adds a post-processing method to BeiTFeatureExtractor for semantic segmentation.
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [ X] Did you read the [contributor guideline](https://github.com/huggingface/tran... | {
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https://api.github.com/repos/huggingface/transformers/issues/19098 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19098/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19098/comments | https://api.github.com/repos/huggingface/transformers/issues/19098/events | https://github.com/huggingface/transformers/issues/19098 | 1,377,707,002 | I_kwDOCUB6oc5SHiP6 | 19,098 | Some feature requests for the Trainer | {
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"For 1, just overwrite the output dir with `--overwrite_output_dir` to have a clean output dir for the beginning of training (when resuming there shouldn't be any error since the repo will be synced with the local folder). If we stop leveraging `Repository`, we lose the async pushes so basically training will be in... | 1,663 | 1,663 | 1,663 | CONTRIBUTOR | null | ### Feature request
2 feature requests for the HuggingFace Trainer:
* seems like the Trainer is currently using `huggingface_hub.Repository` when pushing a model to the hub. Would be great to update this to leverage the new HTTP methods, as currently I'm getting errors like the following:
```
OSError ... | {
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https://api.github.com/repos/huggingface/transformers/issues/19097 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19097/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19097/comments | https://api.github.com/repos/huggingface/transformers/issues/19097/events | https://github.com/huggingface/transformers/pull/19097 | 1,377,614,382 | PR_kwDOCUB6oc4_LmnN | 19,097 | fix position bias related logic after prune heads in T5 model | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_19097). All of your documentation changes will be reflected on that endpoint.",
"Maybe of interest to @ArthurZucker :)",
"Hey, before diving a bit deeper, sorry for the long delay, and thanks for the PR. \r\nWould you min... | 1,663 | 1,668 | 1,668 | CONTRIBUTOR | null | # What does this PR do?
A follow up pr after #17968
If the attention layer `self.has_relative_attention_bias == False`, then the position bias shape will be wrong, the head number should be the original model (before prune heads) head number `self.n_heads + len(self.pruned_heads)`
## Who can review?
- t5: @... | {
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https://api.github.com/repos/huggingface/transformers/issues/19096 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19096/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19096/comments | https://api.github.com/repos/huggingface/transformers/issues/19096/events | https://github.com/huggingface/transformers/pull/19096 | 1,377,287,618 | PR_kwDOCUB6oc4_KghS | 19,096 | HPO: keep the original logic if there's only one process, pass the tr… | {
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"@yao-matrix @sgugger please review the patch.",
"_The documentation is not available anymore as the PR was closed or merged._",
" need to find out solution for following cases\r\n *if we need to use trial in model_init, how to do it for non-main rank, sync the model with rank0 in app?\r\n *how to use optuna pr... | 1,663 | 1,666 | 1,663 | CONTRIBUTOR | null | …ial to trainer
need to find out solution for following cases
*if we need to use trial in model_init, how to do it for non-main rank, sync the model with rank0 in app?
*how to use optuna prune feature for DDP, if we do it in rank0, how does other rank know it.
Signed-off-by: Wang, Yi A <yi.a.wang... | {
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https://api.github.com/repos/huggingface/transformers/issues/19095 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19095/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19095/comments | https://api.github.com/repos/huggingface/transformers/issues/19095/events | https://github.com/huggingface/transformers/issues/19095 | 1,377,203,131 | I_kwDOCUB6oc5SFnO7 | 19,095 | Activation checkpointing for TFGPT2DoubleHeadsModel | {
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"cc @Rocketknight1 @gante",
"Hi @visionscaper - this seems like something that could work! We haven't experimented with `tf.recompute_grad` in detail but the core code for training our Keras models is in the `train_step` and `test_step` methods [here](https://github.com/huggingface/transformers/blob/main/src/tran... | 1,663 | 1,666 | 1,666 | NONE | null | ### Feature request
Activation checkpointing is implemented for the PyTorch GPT2 model (and different head variants), however, this is not the case for the Tensorflow implementation of GPT2,
### Motivation
A lot of GPU memory is required to finetune GPT2. This is especially the case for TFGPT2DoubleHeadsModel, becau... | {
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https://api.github.com/repos/huggingface/transformers/issues/19094 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19094/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19094/comments | https://api.github.com/repos/huggingface/transformers/issues/19094/events | https://github.com/huggingface/transformers/issues/19094 | 1,377,144,838 | I_kwDOCUB6oc5SFZAG | 19,094 | Allow custom signature while saving TF models | {
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"cc @Rocketknight1 @gante",
"Hi @dimitreOliveira, that sounds like a great feature, and we'd be happy to accept that PR! We've been working on making our default signatures more general and usable, but this sounds like a good idea too. Are you planning to add a `signatures` argument that's passed through to `mode... | 1,663 | 1,665 | 1,665 | CONTRIBUTOR | null | ### Feature request
Currently, when we use the [save_pretrained](https://github.com/huggingface/transformers/blob/ca485e562b675341409e3e27724072fb11e10af7/src/transformers/modeling_tf_utils.py#L2085) function from this library the model signature used to save the model is the default one that only calls the model on... | {
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https://api.github.com/repos/huggingface/transformers/issues/19093 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19093/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19093/comments | https://api.github.com/repos/huggingface/transformers/issues/19093/events | https://github.com/huggingface/transformers/issues/19093 | 1,377,124,264 | I_kwDOCUB6oc5SFT-o | 19,093 | Add BPE Wav2Vec2CTCTokenizer | {
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"cc @SaulLu @ArthurZucker ",
"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/transforme... | 1,663 | 1,666 | 1,666 | CONTRIBUTOR | null | ### Feature request
Hi there!
Is there scope for a BPE (SentencePiece) CTC tokenizer? Using a trained SentencePiece vocabulary in a CTC model is pretty straightforward - all we need now is a tokenizer than can bridge the missing step between grouping CTC ids and decoding them with SentencePiece.
### Motivation
Gr... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,663 | 1,663 | 1,663 | CONTRIBUTOR | null | fixes to typos / spellings | {
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https://api.github.com/repos/huggingface/transformers/issues/19091 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19091/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19091/comments | https://api.github.com/repos/huggingface/transformers/issues/19091/events | https://github.com/huggingface/transformers/issues/19091 | 1,376,954,629 | I_kwDOCUB6oc5SEqkF | 19,091 | TypeError: __init__() got an unexpected keyword argument 'has_model_config' | {
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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... | 1,663 | 1,666 | 1,666 | NONE | null | ### System Info
- transformers version: 4.18.1
- Platform: Linux Jupyter Notebook, TF2.3 Python 3.6, 2 GPU
- Python version: '1.7.1+cu101'
- Using GPU in script?: yes
- Using distributed or parallel set-up in script?: no
### Who can help?
@mf
### Information
- [ ] The official example scripts
- [X] My own modi... | {
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"UPDATE (for future readers): the title was changed.\r\n\r\n---\r\n\r\nI think that the title of this issue is a little bit misleading. Technically, a custom `device_map` is already supported for `bitsandbytes`, as long as all the layers are on GPU.\r\n\r\nFor example, in the linked issue, this `device_map` works c... | 1,663 | 1,677 | 1,677 | CONTRIBUTOR | null | ### Feature request
We should be able to provide custom `device_map` when using 8-bit models using `bitsandbytes`. This would enable users having more control over the modules they want to quantize.
Linked issue: https://github.com/TimDettmers/bitsandbytes/issues/40
### Motivation
Users should be able to pass th... | {
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"Thanks @Rocketknight1 😊.",
"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,663 | 1,663 | 1,663 | CONTRIBUTOR | null | Based on Issue https://github.com/huggingface/transformers/issues/16059
I have added type hints for the all the Tensorflow MPNet models.
@Rocketknight1 Could you kindly check if this is fine?
Thanks in advance. | {
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https://api.github.com/repos/huggingface/transformers/issues/19088 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19088/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19088/comments | https://api.github.com/repos/huggingface/transformers/issues/19088/events | https://github.com/huggingface/transformers/pull/19088 | 1,376,829,389 | PR_kwDOCUB6oc4_JLDF | 19,088 | Added type hints for TFConvBertModel | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thanks @Rocketknight1."
] | 1,663 | 1,663 | 1,663 | CONTRIBUTOR | null | Based on Issue #16059
I have added type hints for the [TFConvBertModel](https://huggingface.co/docs/transformers/model_doc/convbert#transformers.TFConvBertModel).
@Rocketknight1 Could you kindly check if this is fine?
Thanks in advance. | {
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https://api.github.com/repos/huggingface/transformers/issues/19087 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19087/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19087/comments | https://api.github.com/repos/huggingface/transformers/issues/19087/events | https://github.com/huggingface/transformers/issues/19087 | 1,376,804,237 | I_kwDOCUB6oc5SEF2N | 19,087 | v4.22.1 ErnieForMaskedLM Bug | {
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"Hi @wzjj98, could you please share a bit more information about your PC setup and the script you're calling?\r\n\r\nI can confirm it shouldn't be a problem to import `ErnieForMaskedLM` with `transformers==4.22.1`",
"My GPU NVIDIA GeForce GTX 3090\r\nProcessor:Intel(R) Xeon(R) Platinum 8255C CPU @ 2.50GHz\r\n",
... | 1,663 | 1,666 | 1,666 | NONE | null | ### System Info
@LysandreJik
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially suppor... | {
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https://api.github.com/repos/huggingface/transformers/issues/19086 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19086/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19086/comments | https://api.github.com/repos/huggingface/transformers/issues/19086/events | https://github.com/huggingface/transformers/pull/19086 | 1,376,792,487 | PR_kwDOCUB6oc4_JEVA | 19,086 | Added type hints for YolosForObjectDetection | {
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"Thanks @Rocketknight1."
] | 1,663 | 1,663 | 1,663 | CONTRIBUTOR | null | Based on Issue #16059
I have added the type hints for `YolosForObjectDetection` model.
@Rocketknight1 Could you kindly check if this is fine?
Thanks in advance. | {
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https://api.github.com/repos/huggingface/transformers/issues/19085 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19085/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19085/comments | https://api.github.com/repos/huggingface/transformers/issues/19085/events | https://github.com/huggingface/transformers/pull/19085 | 1,376,787,749 | PR_kwDOCUB6oc4_JDgJ | 19,085 | Added Type hints for VIT MAE | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thanks @Rocketknight1."
] | 1,663 | 1,663 | 1,663 | CONTRIBUTOR | null | Based on Issue #16059
While looking through the codebase, I found that the ViTMAE model doesn't had the type hints as suggested in Issue #16059. Added type hints for [ViTMAEModel](https://huggingface.co/docs/transformers/model_doc/vit_mae#transformers.ViTMAEModel) and [ViTMAEForPreTraining](https://huggingface.co/d... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thanks @Rocketknight1."
] | 1,663 | 1,663 | 1,663 | CONTRIBUTOR | null | Based on Issue #16059.
While looking into Issue #16059, I found that the `ResNetForImageClassification` model's type hints are inconsistent with the [docs](https://huggingface.co/docs/transformers/model_doc/resnet#transformers.ResNetForImageClassification.forward). Modified it to be consistent with the docs.
@Roc... | {
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I'm using LayoutLMv3Processor to encoding.
when I input (1, 82, 4) as boxes, the processor will extends the boxes to (1, 512, 4), but some boxes of input is dropped by processor as I can't find them in the encoding;
seems the last n boxes is dropped.
**_tokenizer = LayoutLMv3TokenizerFast.from_pre... | {
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https://api.github.com/repos/huggingface/transformers/issues/19082 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19082/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19082/comments | https://api.github.com/repos/huggingface/transformers/issues/19082/events | https://github.com/huggingface/transformers/issues/19082 | 1,376,664,109 | I_kwDOCUB6oc5SDjot | 19,082 | `--with_tracking` doesn't seem to work | {
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"@muellerzr will correct me if I'm wrong, but this API is for external trackers (TensorBoard, WandB etc.). To save results on disk, just use regular python code like `json.dump`.",
"@sgugger exactly. @Ericmututu do you have any tracking libraries installed on your system?\r\n\r\n(I can probably raise an error in ... | 1,663 | 1,666 | 1,666 | NONE | null | ### System Info
Hi,
When I enable --with_tracking within run_glue_no_trainer.py, nothing seems to happen. After the training is over, I don't find any log files in output_dir. How do I save these training results (e.g., accuracy, training_loss, ...) as shown in the following figure?
![image](https://user-images.gith... | {
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https://api.github.com/repos/huggingface/transformers/issues/19081 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19081/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19081/comments | https://api.github.com/repos/huggingface/transformers/issues/19081/events | https://github.com/huggingface/transformers/issues/19081 | 1,376,641,594 | I_kwDOCUB6oc5SDeI6 | 19,081 | add Unified-IO | {
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"Hi, have you started working on the issue? Do you plan to integrate it yourself?",
"I'd like to work on this issue, is there any documentation on adding new models that I should follow?",
"I would like to work on this one.",
"@NielsRogge @alaradirik If no one else is currently working on adding this model, I... | 1,663 | 1,678 | null | CONTRIBUTOR | null | ### Model description
I'd like to request the addition of the Unified-IO model. It is a multimodal model capable of visual question answering, image generation and more...
the repo is this: https://github.com/allenai/unified-io-inference
the paper: [Unified-IO: Sequential Modeling for Generally Applicable Vision Mod... | {
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https://api.github.com/repos/huggingface/transformers/issues/19080 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19080/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19080/comments | https://api.github.com/repos/huggingface/transformers/issues/19080/events | https://github.com/huggingface/transformers/pull/19080 | 1,376,566,857 | PR_kwDOCUB6oc4_IZA0 | 19,080 | Bump oauthlib from 3.2.0 to 3.2.1 in /examples/research_projects/decision_transformer | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,663 | 1,663 | 1,663 | CONTRIBUTOR | null | Bumps [oauthlib](https://github.com/oauthlib/oauthlib) from 3.2.0 to 3.2.1.
<details>
<summary>Release notes</summary>
<p><em>Sourced from <a href="https://github.com/oauthlib/oauthlib/releases">oauthlib's releases</a>.</em></p>
<blockquote>
<h2>3.2.1</h2>
<h2>In short</h2>
<p>OAuth2.0 Provider:</p>
<ul>
<li><a href="h... | {
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https://api.github.com/repos/huggingface/transformers/issues/19079 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19079/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19079/comments | https://api.github.com/repos/huggingface/transformers/issues/19079/events | https://github.com/huggingface/transformers/issues/19079 | 1,376,540,175 | I_kwDOCUB6oc5SDFYP | 19,079 | Small Typo in Docs GenerationMixin for use_cache parameter | {
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"@ankrgyl that's a good finding 👍 A PR contribution would be deeply appreciated (for TF and FLAX as well, if the typo also exists there), but I will pick it up otherwise :)"
] | 1,663 | 1,664 | 1,664 | CONTRIBUTOR | null | ### System Info
In the text_generation docs (https://huggingface.co/docs/transformers/main_classes/text_generation), `use_cache` does not show up as its own line in the list of parameters.
<img width="973" alt="Screen Shot 2022-09-16 at 6 09 30 PM" src="https://user-images.githubusercontent.com/565363/190812185-35c... | {
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https://api.github.com/repos/huggingface/transformers/issues/19078 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19078/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19078/comments | https://api.github.com/repos/huggingface/transformers/issues/19078/events | https://github.com/huggingface/transformers/pull/19078 | 1,376,459,325 | PR_kwDOCUB6oc4_IFUs | 19,078 | Add tests for legacy load by url and fix bugs | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,663 | 1,663 | 1,663 | COLLABORATOR | null | # What does this PR do?
This PR adds to tests we can load object with the single url to the relevant file, which is a deprecated behavior until v5, but that we unintentionally broke early because it's not tested. The tests added are marked to be removed at v5 (when they test deprecated behavior). | {
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