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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,664 | 1,664 | 1,664 | CONTRIBUTOR | null | # What does this PR do?
As proposed in issue #14642, this PR wraps forward passes in DeberatV2 integration tests with torch.no_grad(). This way, no unnecessary gradients are computed during inference.
## Before submitting
- [ ] This PR fixes a typo or improves the docs.
- [X] Did you read the [contributor guide... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"> Thanks a lot for your PR! You also need to remove the initialization of `samples_seen` since that variable is not used anymore. This will fix the quality check.\r\n\r\nDone; thanks for pointing it out."
] | 1,664 | 1,664 | 1,664 | CONTRIBUTOR | null | # What does this PR do?
Update `run_summarization_no_trainer.py` in the example to include `accelerator.gather_metrics`
Fixes a part of #18437
## 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 guidel... | {
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"Hello Reyha (My answer doesn’t represent Hugging Face)\r\n\r\nI think there is no bug here, it’s just the output of the raw model. I think you may have to do some post-processing, or you should implement some frequency penalties for each generated token.\r\n\r\nHowever, I recommend looking at this article https://... | 1,664 | 1,665 | 1,665 | NONE | null | ### System Info
- `transformers` version: 4.11.3
- Platform: Linux-3.10.0-1160.59.1.el7.x86_64-x86_64-with-debian-stretch-sid
- Python version: 3.6.13
- PyTorch version (GPU?): 1.7.1+cu101 (True)
- Tensorflow version (GPU?): 2.5.0 (False)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not i... | {
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] | 1,664 | 1,665 | 1,665 | COLLABORATOR | null | # What does this PR do?
`>>> torch.manual_seed` requires `# doctest: +IGNORE_RESULT`, otherwise we get
```
Expected nothing
Got:
<torch._C.Generator object at 0x7fe914fdbcd0>
```
I missed this detail when reviewing #19183
Confirmed it works now (on GCP CPU VM) | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,664 | 1,664 | 1,664 | CONTRIBUTOR | null | # What does this PR do?
This PR wraps forward passes in ConvBert integration tests with `torch.no_grad()`, as proposed in issue #14642. This avoids the computation of unnecessary gradients during inference.
## Before submitting
- [ ] This PR fixes a typo or improves the docs.
- [X] Did you read the [contributor g... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,664 | 1,664 | 1,664 | CONTRIBUTOR | null | # What does this PR do?
As proposed in issue #14642, this PR wraps forward passes in BigBird integration tests with torch.no_grad(). This way, no unnecessary gradients are computed during inference.
## Before submitting
- [ ] This PR fixes a typo or improves the docs.
- [X] Did you read the [contributor guideli... | {
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"Hello @M-Chimiste Please assign me and btw I'm new to the contribution so guide accordingly\r\nThank you!",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues that do no... | 1,664 | 1,667 | 1,667 | NONE | null | ### System Info
Hello,
I'm running into the following issue when trying to run an LED model. It appears that the tokenizer won't cast into CUDA. I've seen this work in the past, but apparently something has gone amiss. I'm not entirely sure why this behavior is being exhibited.
`from transformers import (
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] | 1,664 | 1,664 | 1,664 | MEMBER | null | This PR breaks up `serialization.mdx` into separate ONNX and TorchScript docs. Currently, this doc is quite long which makes it difficult for users to quickly find what they're looking for and it also discusses two different topics. I think separating these topics into their own docs makes it easier for users to focus ... | {
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https://api.github.com/repos/huggingface/transformers/issues/19268 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19268/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19268/comments | https://api.github.com/repos/huggingface/transformers/issues/19268/events | https://github.com/huggingface/transformers/pull/19268 | 1,392,893,938 | PR_kwDOCUB6oc4_9m1s | 19,268 | Bump joblib from 0.16.0 to 1.2.0 in /examples/research_projects/lxmert | {
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<details>
<summary>Changelog</summary>
<p><em>Sourced from <a href="https://github.com/joblib/joblib/blob/master/CHANGES.rst">joblib's changelog</a>.</em></p>
<blockquote>
<h2>Release 1.2.0</h2>
<ul>
<li>
<p>Fix a security issue where <code>eval(pre... | {
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https://api.github.com/repos/huggingface/transformers/issues/19267 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19267/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19267/comments | https://api.github.com/repos/huggingface/transformers/issues/19267/events | https://github.com/huggingface/transformers/pull/19267 | 1,392,874,129 | PR_kwDOCUB6oc4_9idO | 19,267 | Fix formatting in DataCollator docs | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_19267). All of your documentation changes will be reflected on that endpoint.",
"Hmm looks like the bullet points are still there even though we didn't include any in Markdown. I wonder if maybe the `doc-builder` automatica... | 1,664 | 1,706 | 1,667 | MEMBER | null | Noticed the `x_mask_tokens` functions in the data collator docs look a bit strange with the numbered bullets so this PR removes them:
 | {
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https://api.github.com/repos/huggingface/transformers/issues/19266 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19266/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19266/comments | https://api.github.com/repos/huggingface/transformers/issues/19266/events | https://github.com/huggingface/transformers/issues/19266 | 1,392,730,926 | I_kwDOCUB6oc5TA2Mu | 19,266 | M2M100 training does not improve model's performance | {
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"@patil-suraj could you help me with this problem?",
"Hi @joao-alves97, you should really ask those questions on the [forums](https://discuss.huggingface.co/) where the whole community will be able to help. We keep GitHub issues for bugs (with a reproducer) or feature request only :-)",
"I already did it @sgugg... | 1,664 | 1,668 | 1,668 | NONE | null | ### System Info
- `transformers` version: 4.23.0.dev0
- Platform: Linux-5.4.0-1072-aws-x86_64-with-glibc2.27
- Python version: 3.8.13
- Huggingface_hub version: 0.9.1
- PyTorch version (GPU?): 1.12.1+cu113 (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/19265 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19265/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19265/comments | https://api.github.com/repos/huggingface/transformers/issues/19265/events | https://github.com/huggingface/transformers/issues/19265 | 1,392,706,235 | I_kwDOCUB6oc5TAwK7 | 19,265 | Position_ids misuses self.padding_idx | {
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"Update: I think this is actually reproducing behaviour in the original RoBERTa, and isn't a bug after all. It's probably unnecessary when copied to all the other models out there, but it's not the end of the world as long as everyone keeps their padding_idx low.",
"@Rocketknight1 I ran through the same issue whi... | 1,664 | 1,671 | 1,664 | MEMBER | null | ### System Info
issue is platform-independent
### Who can help?
_No response_
### 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... | {
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https://api.github.com/repos/huggingface/transformers/issues/19264 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19264/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19264/comments | https://api.github.com/repos/huggingface/transformers/issues/19264/events | https://github.com/huggingface/transformers/pull/19264 | 1,392,686,065 | PR_kwDOCUB6oc4_846m | 19,264 | [WIP] Fix ImageSegmentationPipeline | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_19264). All of your documentation changes will be reflected on that endpoint.",
"The issues addressed by this PR are fixed in this [PR](https://github.com/huggingface/transformers/pull/19367)."
] | 1,664 | 1,665 | 1,665 | CONTRIBUTOR | null | # What does this PR do?
- Fixes the ImageSegmentationPipeline test errors caused by a `[recent PR](https://github.com/huggingface/transformers/pull/19205)` that adds new post-processing methods to DETR.
The following PRs will need to be merged first to ensure DETR and MaskFormer have consistent `post_process_panop... | {
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https://api.github.com/repos/huggingface/transformers/issues/19263 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19263/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19263/comments | https://api.github.com/repos/huggingface/transformers/issues/19263/events | https://github.com/huggingface/transformers/pull/19263 | 1,392,684,023 | PR_kwDOCUB6oc4_84d8 | 19,263 | 🚨🚨🚨 TF: Remove `TFWrappedEmbeddings` (breaking: TF embedding initialization updated for encoder-decoder models) | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@sgugger @Rocketknight1 plz check the question in the PR header 🙏 ",
"> If I'm right about that (and I'm not sure I am!), would it make more sense to either pass names to the layers in __init__, and/or to override model.build() to... | 1,664 | 1,665 | 1,665 | MEMBER | null | # What does this PR do?
Banishes `TFWrappedEmbeddings` from our codebase, and updates all models that depended on it to use `tf.keras.layers.Embedding` instead. This corresponds to ~1/3 of the models that were using `TFSharedEmbeddings`.
All models, except for T5, had the same changes as TFBart -- the changes are... | {
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https://api.github.com/repos/huggingface/transformers/issues/19262 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19262/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19262/comments | https://api.github.com/repos/huggingface/transformers/issues/19262/events | https://github.com/huggingface/transformers/pull/19262 | 1,392,677,063 | PR_kwDOCUB6oc4_828_ | 19,262 | Restructure DETR post-processing, return prediction scores | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,664 | 1,664 | 1,664 | CONTRIBUTOR | null | # What does this PR do?
- Restructures `DetrFeatureExtractor.post_process_instance_segmentation` and `DetrFeatureExtractor.post_process_panoptic_segmentation` methods, adds `score` key to output dictionaries
- Updates feature extractor tests
## Before submitting
- [ X] This PR fixes a typo or improves the docs (y... | {
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https://api.github.com/repos/huggingface/transformers/issues/19261 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19261/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19261/comments | https://api.github.com/repos/huggingface/transformers/issues/19261/events | https://github.com/huggingface/transformers/pull/19261 | 1,392,641,647 | PR_kwDOCUB6oc4_8vMi | 19,261 | Skip `BloomEmbeddingTest.test_embeddings` for PT < 1.10 | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@LysandreJik For this case, it is specific to test (checkpoint is `bigscience/bigscience-small-testing` which has `bfloat16` in the config file).\r\n"
] | 1,664 | 1,665 | 1,665 | COLLABORATOR | null | # What does this PR do?
The test `BloomEmbeddingTest.test_embeddings` will load a pretrained-model in `bfloat16`. For PyTorch < 1.10, we have
```bash
RuntimeError: "LayerNormKernelImpl" not implemented for 'BFloat16'
```
so let's skip it to keep Past CI clean | {
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https://api.github.com/repos/huggingface/transformers/issues/19260 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19260/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19260/comments | https://api.github.com/repos/huggingface/transformers/issues/19260/events | https://github.com/huggingface/transformers/issues/19260 | 1,392,600,982 | I_kwDOCUB6oc5TAWeW | 19,260 | Issue with Fairseq BART checkpoint conversion in Fairseq 0.12 | {
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"Apparently, the issue was related to the tokenizer, and now all assertions hold. Meaning that the changes I made do work, in case someone is interested. Closing the issue."
] | 1,664 | 1,664 | 1,664 | NONE | null | Hi, I pretrained a BART model using Fairseq 0.12.2. Then, I tried to convert it using the official script, https://github.com/huggingface/transformers/blob/main/src/transformers/models/bart/convert_bart_original_pytorch_checkpoint_to_pytorch.py, and it didn't work out of the box due to unexpected and missing keys in th... | {
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https://api.github.com/repos/huggingface/transformers/issues/19259 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19259/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19259/comments | https://api.github.com/repos/huggingface/transformers/issues/19259/events | https://github.com/huggingface/transformers/pull/19259 | 1,392,467,558 | PR_kwDOCUB6oc4_8J8P | 19,259 | Add ORT training notebooks to transformers' catalog | {
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Add the `ORTTrainer` examples for Optimum in transformers' notebook catalog.
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https://api.github.com/repos/huggingface/transformers/issues/19258 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19258/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19258/comments | https://api.github.com/repos/huggingface/transformers/issues/19258/events | https://github.com/huggingface/transformers/pull/19258 | 1,392,439,987 | PR_kwDOCUB6oc4_8D_U | 19,258 | Fix pytorch seq2seq qa | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Gently pinging @sgugger for final approval.\r\n\r\n`test_run_swag_no_trainer` failed but it is not related to this PR :thinking: "
] | 1,664 | 1,665 | 1,665 | CONTRIBUTOR | null | I created this pull request based on our discussion https://github.com/huggingface/transformers/issues/15398#issuecomment-1262926868
I also changed the typo in the README for the SQuADs feature. Then I also saw that the [trainer_seq2seq_qa.py](https://github.com/huggingface/transformers/blob/main/examples/pytorch/qu... | {
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https://api.github.com/repos/huggingface/transformers/issues/19257 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19257/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19257/comments | https://api.github.com/repos/huggingface/transformers/issues/19257/events | https://github.com/huggingface/transformers/pull/19257 | 1,392,416,602 | PR_kwDOCUB6oc4_7-_v | 19,257 | add return_tensor parameter for feature extraction | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Feedback has been addressed :)",
"Not sure what's happening with CircleCI... ",
"Last suggestion was addressed, but CircleCI Pipeline still seems broken...",
"@ajsanjoaquin do you have circleCI set up on your account/branch ? I... | 1,664 | 1,666 | 1,666 | CONTRIBUTOR | null | # What does this PR do?
<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
Then, please replace this w... | {
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https://api.github.com/repos/huggingface/transformers/issues/19256 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19256/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19256/comments | https://api.github.com/repos/huggingface/transformers/issues/19256/events | https://github.com/huggingface/transformers/pull/19256 | 1,392,385,426 | PR_kwDOCUB6oc4_74Uz | 19,256 | Docs - Guide to add a new TensorFlow model | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Awesome! I will merge the PR soon and make some guide-related announcements next Monday 🙌 "
] | 1,664 | 1,664 | 1,664 | MEMBER | null | # What does this PR do?
Adds a guide on how to add a new TensorFlow model (architecture and weights), as well as a few tips to debug TF<>PT mismatches. This means that we can stop relying on ad hoc tips and instructions to add TF models, and point towards this guide instead 🙌
I've also updated the test paths in... | {
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https://api.github.com/repos/huggingface/transformers/issues/19255 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19255/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19255/comments | https://api.github.com/repos/huggingface/transformers/issues/19255/events | https://github.com/huggingface/transformers/pull/19255 | 1,392,382,555 | PR_kwDOCUB6oc4_73ty | 19,255 | Export TensorFlow models to ONNX with dynamic input shapes | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"> Can you please confirm that the slow tests pass by running `RUN_SLOW=1 pytest tests/onnx/test_onnx_v2.py`\r\n\r\nThere were a few failures here (`16 failed, 400 passed, 16 skipped, 72972 warnings`):\r\n```\r\nFAILED tests/onnx/test... | 1,664 | 1,675 | 1,665 | CONTRIBUTOR | null | # What does this PR do?
This PR exports TensorFlow models to ONNX with dynamic input shapes. Previously they were being exported with static input shapes with a batch size of 2 and sequence length of 8. This should bring TensorFlow to ONNX export mostly into parity with PyTorch Models.
Fixes https://github.com/hu... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Hi, I would like to help here, It would be good for using Donut easier with ONNX :) @mht-sharma I can help fixing the errors that @lewtun comments",
"> Hi, I would like to help here, It would be good for using Donut easier with ONN... | 1,664 | 1,697 | 1,665 | CONTRIBUTOR | null | # What does this PR do?
Fixes #14812
This PR enables the export of VisionEncoderDecoder models to ONNX.
The VisionEncoderDecoder models contains two parts, a vision transformer encoder and language modelling decoder. Both the models are exported to onnx separately as `encoder_model.onnx` and `decoder_model.onnx... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Hi @sgugger I think I misread your message, and end up putting the installation in the CircleCI `config.yml` and GitHub workflow files. Should I instead put `beautifulsoup4` in `extras[\"testing\"]`? That way might be much easier.",
... | 1,664 | 1,664 | 1,664 | COLLABORATOR | null | # What does this PR do?
Add `beautifulsoup4` to the dependency list - to enable the tests `MarkupLMFeatureExtractionTest` and `MarkupLMProcessorIntegrationTests`
On CircleCI, we now can have the following tested (those have `@require_bs4`)
```bash
PASSED tests/models/markuplm/test_feature_extraction_markuplm.py... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"For the record, below is the discussion on Slack\r\n\r\n> If seems that [here](https://github.com/huggingface/transformers/blob/main/src/transformers/modelcard.py#L376), there is a try to load info from the Hub with a repo id that is... | 1,664 | 1,664 | 1,664 | COLLABORATOR | null | # What does this PR do?
`transformers` now uses `huggingface_hub 0.10` for testing. We have a few `deepspeed` failing tests ([see here](https://github.com/huggingface/transformers/actions/runs/3148346207/jobs/5118805294]) or the error below).
According to @Wauplin We should catch `HFValidationError` in `TrainingS... | {
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"Fixed here https://github.com/huggingface/transformers/pull/19178",
"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](h... | 1,664 | 1,667 | 1,667 | NONE | null | ### System Info
When loading models using "local_files_only" mode, huggingface goes out to grab the commit hash from a resolved file name. Usually this works fine on POSIX standard OSes, but it fails on Windows due to hardcoded regex search pattern.
This issue can be fixed in one line (add one line in utils/hub.py)... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Also flagging to @Wauplin that this is another breaking change in the last release that is not spelled out in the [release notes](https://github.com/huggingface/huggingface_hub/releases/tag/v0.10.0).",
"Same answer as [here](https:... | 1,664 | 1,664 | 1,664 | COLLABORATOR | null | # What does this PR do?
Some tests for encoder-decoder models use repo. names `../gpt2`. It works before `huggingface-hub==0.10`, but failed with this version.
This PR changes `../gpt2` to `gpt2`. In any case, it is less confusing even if `../gpt2` worked before. | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Adding a test (perhaps inside [this test class](https://github.com/huggingface/transformers/blob/f3d2f7a6e08efe18debf59512325f02128394b43/tests/test_modeling_tf_common.py#L1913)) would be great!",
"Hey there, I think that this code... | 1,664 | 1,665 | 1,665 | CONTRIBUTOR | null | # What does this PR do?
This PR is related to the discussion on issue #19094 , which is related to `transformers` enabling users to provide custom signatures for models while saving them with [save_pretrained](https://github.com/huggingface/transformers/blob/ca485e562b675341409e3e27724072fb11e10af7/src/transformers/mo... | {
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Skip tests failing for now (cc @alaradirik ). | {
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https://api.github.com/repos/huggingface/transformers/issues/19247 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19247/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19247/comments | https://api.github.com/repos/huggingface/transformers/issues/19247/events | https://github.com/huggingface/transformers/pull/19247 | 1,391,036,074 | PR_kwDOCUB6oc4_3YYL | 19,247 | Update Protobuf dependency version to fix known vulnerability | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,664 | 1,664 | 1,664 | CONTRIBUTOR | null | # What does this PR do?
Protobuf v3.20.1 has a known security vulnerability, [described here on snyk](https://security.snyk.io/package/pip/protobuf/3.20.1). Bumping the protobuf dependency version fixes this vulnerability.
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the ... | {
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https://api.github.com/repos/huggingface/transformers/issues/19246 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19246/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19246/comments | https://api.github.com/repos/huggingface/transformers/issues/19246/events | https://github.com/huggingface/transformers/pull/19246 | 1,390,907,516 | PR_kwDOCUB6oc4_29FV | 19,246 | Enable numpy behaviour across the TF codebase | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_19246). All of your documentation changes will be reflected on that endpoint.",
"Update: We realized some issues related to float promotion that would make this very messy, closing this PR for now!"
] | 1,664 | 1,664 | 1,664 | MEMBER | null | This PR enables TF Numpy behaviour for all of our models, which will hopefully reduce the number of PRs we have to make to fix dtype incompatibilities. This flag mainly relates to type promotion (TensorFlow is strict by default, and won't automatically promote if you e.g. add an `int32` tensor to an `int64`), but it al... | {
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https://api.github.com/repos/huggingface/transformers/issues/19245 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19245/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19245/comments | https://api.github.com/repos/huggingface/transformers/issues/19245/events | https://github.com/huggingface/transformers/issues/19245 | 1,390,877,030 | I_kwDOCUB6oc5S5xlm | 19,245 | Trainer very slow to start training | {
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"Hi there. You should probably try the [forums](https://discuss.huggingface.co/) to have the community help you debug the code. Without a clear and concise reproducer, there is nothing I can to fix it on my side",
"@sgugger this issue has been flagged before but there is no answer. I'm 100% the code is correct (I... | 1,664 | 1,664 | 1,664 | NONE | null | ### System Info
- `transformers` version: 4.19.2
- Platform: Linux-4.18.0-372.19.1.el8_6.x86_64-x86_64-with-glibc2.17
- Python version: 3.8.13
- Huggingface_hub version: 0.6.0
- PyTorch version (GPU?): 1.11.0+cu113 (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/19244 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19244/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19244/comments | https://api.github.com/repos/huggingface/transformers/issues/19244/events | https://github.com/huggingface/transformers/pull/19244 | 1,390,485,280 | PR_kwDOCUB6oc4_1ka7 | 19,244 | Use `hf_raise_for_status` instead of deprecated `_raise_for_status` | {
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"Yep true. Thanks for letting me know. Is it also required to run `make deps_table_update` ? I did it in [my last commit ](https://github.com/huggingface/transformers/pull/19244/commits/f0dcac9fdf512105f01a5dd55bc1229a63cb6e73) but I can remove it.",
"_The documentation is not available anymore as the PR was clos... | 1,664 | 1,664 | 1,664 | CONTRIBUTOR | null | # What does this PR do?
Replace `huggingface_hub.utils._errors._raise_for_status` by the officially supported `huggingface_hub.utils.hf_raise_for_status`.
Related to https://github.com/huggingface/huggingface_hub/pull/1019#issuecomment-1233864547.
Requires `huggingface_hub>=0.10.0`. | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,664 | 1,664 | 1,664 | CONTRIBUTOR | null | # What does this PR do?
- Following the PR #18057 we found out that the argument `dtype_attn_weights ` is not defined outside the condition `if attention_mask is not None:` which makes the modeling code prone to potential bugs. Also, the solution provided in #18057 is clearer so this PR addresses the same change to ... | {
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"(this is not a `transformers` issue)"
] | 1,664 | 1,664 | 1,664 | NONE | null | Understanding wrap around.
HTML
Hierarchical
Multi Task Learning?
Tokens Access Inclusion | {
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"Please use the [forums](https://discuss.huggingface.co/) for such questions as we keep issues for bugs and feature requests only. As indicated by the name of the arg, the best model is the one loaded inside the Trainer. You should save it wherether you want for further use.",
"This issue has been automatically m... | 1,664 | 1,667 | 1,667 | NONE | null | ### System Info
- `transformers` version: 4.23.0.dev0
- Platform: Linux-4.15.0-189-generic-x86_64-with-debian-buster-sid
- Python version: 3.7.3
- Huggingface_hub version: 0.10.0
- PyTorch version (GPU?): 1.8.1+cu111 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not inst... | {
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"This comment was posted because the issue had been automatically marked as stale due to lack of recent activity, but it was flagged by a user as an issue that still needs to be addressed.",
"Might be of interest to @ArthurZucker ",
"Hey! So this was answered in #10200, where it the `padding_idx` was removed. I... | 1,664 | 1,681 | 1,671 | NONE | null | ### System Info
- `transformers` version: 4.22.2
- Platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.10
- Python version: 3.8.13
- Huggingface_hub version: 0.10.0
- PyTorch version (GPU?): 1.13.0a0+08820cb (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?)... | {
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https://api.github.com/repos/huggingface/transformers/issues/19239 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19239/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19239/comments | https://api.github.com/repos/huggingface/transformers/issues/19239/events | https://github.com/huggingface/transformers/pull/19239 | 1,390,066,258 | PR_kwDOCUB6oc4_0NJS | 19,239 | Fix TrainingArgs argument serialization | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,664 | 1,664 | 1,664 | CONTRIBUTOR | null | # What does this PR do?
Filter out arguments in TrainingArguments.to_dict() such as `field(init=False)` so arguments such as `_n_gpu` won't be serialized.
Fixes #19236
## 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... | {
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"@dwyatte Can you please look into #19231? Somehow the sequence length is capped to 5 tokens in the generated tflite. tflite files are used to run models on mobile devices. \r\n\r\nSince your issue also has a fixed sequence length, the cause may be related. I tried converting BERT to tflite and the input size was 1... | 1,664 | 1,665 | 1,665 | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.22.0
- Platform: Darwin-21.6.0-x86_64-i386-64bit
- Python version: 3.7.12
- Huggingface_hub version: 0.10.0
- PyTorch version (GPU?): not installed (NA)
- Tensorflow version (GPU?): 2.8.0 (False)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not i... | {
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https://api.github.com/repos/huggingface/transformers/issues/19237 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19237/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19237/comments | https://api.github.com/repos/huggingface/transformers/issues/19237/events | https://github.com/huggingface/transformers/pull/19237 | 1,389,877,114 | PR_kwDOCUB6oc4_zkh1 | 19,237 | Fix test fetching for examples | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,664 | 1,664 | 1,664 | COLLABORATOR | null | # What does this PR do?
When re-working the circleCI config to execute test fetching first, I didn't do anything special for the examples, which means that if only an example file is modified, no tests are run (by default only tests found in the tests subfolder are kept, for the examples we need to add `--filters te... | {
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https://api.github.com/repos/huggingface/transformers/issues/19236 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19236/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19236/comments | https://api.github.com/repos/huggingface/transformers/issues/19236/events | https://github.com/huggingface/transformers/issues/19236 | 1,389,856,645 | I_kwDOCUB6oc5S14eF | 19,236 | TrainingArguments._n_gpus serialization | {
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"Indeed, this argument shouldn't be serialized.",
"I'm on it"
] | 1,664 | 1,664 | 1,664 | CONTRIBUTOR | null | I'm not sure, but I think that `TrainingArguments._n_gpu` attribute is not supposed to be serialized in `TrainingArguments.to_dict()` .
Or even basically all the attributes that are defined as `dataclass.field(init=False...)` should be filtered out while doing `to_dict()`.
What do you think?
@sgugger | {
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https://api.github.com/repos/huggingface/transformers/issues/19235 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19235/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19235/comments | https://api.github.com/repos/huggingface/transformers/issues/19235/events | https://github.com/huggingface/transformers/pull/19235 | 1,389,731,684 | PR_kwDOCUB6oc4_zFWp | 19,235 | Add and save job names in Past CI artifacts | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,664 | 1,664 | 1,664 | COLLABORATOR | null | # What does this PR do?
In order to ease the fix process for Past CI, it would be very helpful to have links to jobs for the failed tests.
The GitHub API could give a list of jobs and a list of artifacts, but there is no ensured and easy way to get the correspondence between each artifact/job, see [jobs here](ht... | {
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https://api.github.com/repos/huggingface/transformers/issues/19234 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19234/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19234/comments | https://api.github.com/repos/huggingface/transformers/issues/19234/events | https://github.com/huggingface/transformers/pull/19234 | 1,389,653,895 | PR_kwDOCUB6oc4_y1Xr | 19,234 | Fix confusing working directory in Push CI | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,664 | 1,664 | 1,664 | COLLABORATOR | null | # What does this PR do?
⚠️ ~~Let me launch a tiny run to make sure before merge~~ 🙏
Previously, the job `setup` (to prepare the tests to run) in push CI ran on `ubuntu-latest` runners, and has to clone `transformers` with `actions/checkout@v2`.
In #19054, it is changed to use the docker image (and run on our ... | {
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https://api.github.com/repos/huggingface/transformers/issues/19233 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19233/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19233/comments | https://api.github.com/repos/huggingface/transformers/issues/19233/events | https://github.com/huggingface/transformers/pull/19233 | 1,389,558,318 | PR_kwDOCUB6oc4_ygzl | 19,233 | Fixes HFTracer getattr for PyTorch 1.13+ | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"cc @Chillee"
] | 1,664 | 1,664 | 1,664 | MEMBER | null | # What does this PR do?
There was an API change where `torch.fx.Tracer._module_getattr` became `torch.fx.Tracer.getattr`, causing issues when using the `HFTracer` with `torch-nightly`. This PR fixes that.
Fixes: https://github.com/pytorch/pytorch/issues/84840 (@pbelevich) | {
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https://api.github.com/repos/huggingface/transformers/issues/19232 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19232/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19232/comments | https://api.github.com/repos/huggingface/transformers/issues/19232/events | https://github.com/huggingface/transformers/pull/19232 | 1,389,361,731 | PR_kwDOCUB6oc4_x2Ar | 19,232 | Cast TF generate() inputs | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@gante Let me know if you're okay with the slightly cheeky `-1`, and other than that I'm happy to merge whenever!",
"haha the cheeky `-1` is fine for me. \r\n\r\nI do have one additional nit: can it be moved to after the code in st... | 1,664 | 1,664 | 1,664 | MEMBER | null | Enable TF `generate()` to support any integer dtype by adding casts at the beginning of the main method. | {
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https://api.github.com/repos/huggingface/transformers/issues/19231 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19231/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19231/comments | https://api.github.com/repos/huggingface/transformers/issues/19231/events | https://github.com/huggingface/transformers/issues/19231 | 1,389,305,734 | I_kwDOCUB6oc5Szx-G | 19,231 | Input shape fixed at 1x5 when converting transformers to tflite | {
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"I wonder if @gante @Rocketknight1 have some insights",
"Yes! There are some workarounds you could use @androbada525, such as saving the model as `SavedModel` and making your TFLite model with the from saved model constructor instead, which will give you the correct signature.\r\n\r\nHowever, `from_keras_model` s... | 1,664 | 1,664 | 1,664 | NONE | null | ### System Info
Transformers version: 2.8.2
Python version: 3.7.14 on linux
Platform: Linux (Google Colab)
### Who can help?
@patil-suraj, @patrickvonplaten, @Rocketknight1
### Information
- [X] The official example scripts
- [ ] My own modified scripts
### Tasks
- [X] An officially supported ta... | {
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https://api.github.com/repos/huggingface/transformers/issues/19230 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19230/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19230/comments | https://api.github.com/repos/huggingface/transformers/issues/19230/events | https://github.com/huggingface/transformers/issues/19230 | 1,389,279,920 | I_kwDOCUB6oc5Szrqw | 19,230 | Wav2Vec2CTCTokenizer does not add blank token between repeated letters | {
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- `transformers` version: 4.22.2
- Platform: Linux-5.19.11-arch1-1-x86_64-with-glibc2.36
- Python version: 3.10.0
- Huggingface_hub version: 0.10.0
- PyTorch version (GPU?): 1.12.1+cu102 (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/19229 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19229/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19229/comments | https://api.github.com/repos/huggingface/transformers/issues/19229/events | https://github.com/huggingface/transformers/pull/19229 | 1,389,210,622 | PR_kwDOCUB6oc4_xVZT | 19,229 | Clamping hidden state values to allow FP16 | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Hi, it seems that I have a test error, however, I didn't change the code that is falling. \r\nDoes anyone know how I can pass these tests?",
"Thanks @SSamDav.\r\n\r\nAnd sorry, I forgot to mention in order to avoid the test failure... | 1,664 | 1,664 | 1,664 | CONTRIBUTOR | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/19228 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19228/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19228/comments | https://api.github.com/repos/huggingface/transformers/issues/19228/events | https://github.com/huggingface/transformers/pull/19228 | 1,389,208,217 | PR_kwDOCUB6oc4_xU4d | 19,228 | Update Past CI report script | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,664 | 1,664 | 1,664 | COLLABORATOR | null | # What does this PR do?
To make the fix process easier:
- A single file `errors.json` (instead of 2 files) that contains `line of error`, `error`, `failed test` and `job_link` together for each element. See below.
- The table for reporting on GitHub page get a new `status` column - in order to update the progress.... | {
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https://api.github.com/repos/huggingface/transformers/issues/19227 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19227/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19227/comments | https://api.github.com/repos/huggingface/transformers/issues/19227/events | https://github.com/huggingface/transformers/pull/19227 | 1,389,177,113 | PR_kwDOCUB6oc4_xOFK | 19,227 | Adding links to pipelines parameters documentation | {
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"Hi, in order to pass the checks you might want to run\r\n\r\n```python\r\npip install transformers[dev]\r\nmake fixup\r\n```\r\n\r\nWhich should fix the docs for you.",
"I get the following error when calling `make fixup`\r\n\r\n```\r\nfatal: Not a valid object name main\r\nTraceback (most recent call last):\r\n... | 1,664 | 1,665 | 1,665 | CONTRIBUTOR | null |
# What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/19226 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19226/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19226/comments | https://api.github.com/repos/huggingface/transformers/issues/19226/events | https://github.com/huggingface/transformers/pull/19226 | 1,389,165,923 | PR_kwDOCUB6oc4_xLpM | 19,226 | Replace instances of tf.int32 with tf.int64 in generation code | {
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"_The documentation is not available anymore as the PR was closed or merged._"
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https://api.github.com/repos/huggingface/transformers/issues/19225 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19225/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19225/comments | https://api.github.com/repos/huggingface/transformers/issues/19225/events | https://github.com/huggingface/transformers/issues/19225 | 1,389,123,797 | I_kwDOCUB6oc5SzFjV | 19,225 | BART model generates drastically worse output when labels are passed to forward method | {
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"@ArthurZucker could you take a look here? ",
"Hi @ArthurZucker did you manage to take a look by any chance?\r\nI tried to do some debugging for the issue above and found that this _may_ be a contributing cause:\r\nAs mention in this [code comment](https://github.com/huggingface/transformers/blob/main/src/transfo... | 1,664 | 1,667 | 1,667 | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.21.3
- Platform: Linux-5.15.0-33-generic-x86_64-with-glibc2.35
- Python version: 3.10.4
- Huggingface_hub version: 0.9.1
- PyTorch version (GPU?): 1.11.0+cu113 (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/19224 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19224/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19224/comments | https://api.github.com/repos/huggingface/transformers/issues/19224/events | https://github.com/huggingface/transformers/pull/19224 | 1,388,886,124 | PR_kwDOCUB6oc4_wPtO | 19,224 | [Don't merge] check cache in CircleCI | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,664 | 1,664 | 1,664 | COLLABORATOR | null | # What does this PR do?
[Don't merge] check cache in CircleCI | {
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https://api.github.com/repos/huggingface/transformers/issues/19223 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19223/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19223/comments | https://api.github.com/repos/huggingface/transformers/issues/19223/events | https://github.com/huggingface/transformers/pull/19223 | 1,388,876,408 | PR_kwDOCUB6oc4_wNnm | 19,223 | Fix cache names in CircleCI jobs | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,664 | 1,664 | 1,664 | COLLABORATOR | null | # What does this PR do?
Fix cache names in CircleCI jobs.
According to [this doc](https://circleci.com/docs/caching#restoring-cache), the cache names in `CircleCI` jobs should follow the patterns:
```yaml
- restore_cache:
keys:
- v0.5-torch-{{ checksum "setup.py" }}
- v0.5-torch-
-... | {
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https://api.github.com/repos/huggingface/transformers/issues/19222 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19222/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19222/comments | https://api.github.com/repos/huggingface/transformers/issues/19222/events | https://github.com/huggingface/transformers/issues/19222 | 1,388,586,266 | I_kwDOCUB6oc5SxCUa | 19,222 | ALIBI position embedding support for other models ( BERT, ELECTRA ) | {
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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... | 1,664 | 1,692 | 1,667 | CONTRIBUTOR | null | ### Feature request
Since BLOOM is using ALIBI for position embedding, is there any plans to add ALIBI to other existing models such as BERT, ELECTRA etc?
ALIBI have so far proven to be [extrapolate sequence length beyond training sequence](https://arxiv.org/pdf/2108.12409.pdf) (figure 4). I think this idea should ... | {
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https://api.github.com/repos/huggingface/transformers/issues/19221 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19221/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19221/comments | https://api.github.com/repos/huggingface/transformers/issues/19221/events | https://github.com/huggingface/transformers/pull/19221 | 1,388,418,086 | PR_kwDOCUB6oc4_usD7 | 19,221 | Updated README and docs with ESM-1b and ESM-2 separately | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Hi @tomsercu! I checked with other team members and we prefer to have only one entry in the list per model class (which would include ESM-1b as well as ESM-2), but it's totally okay to have a longer entry that includes the citations ... | 1,664 | 1,664 | 1,664 | CONTRIBUTOR | null | # Improve ESM documentation
We split out the papers for ESM-1b and ESM-2 separately, and improve the documentation of esm model_doc.
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
## Who can review?
@Rocketknight1
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https://api.github.com/repos/huggingface/transformers/issues/19220 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19220/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19220/comments | https://api.github.com/repos/huggingface/transformers/issues/19220/events | https://github.com/huggingface/transformers/issues/19220 | 1,388,242,093 | I_kwDOCUB6oc5SvuSt | 19,220 | Setting tokenizer's return_offsets_mapping to True runs ~10x slower than when set to False | {
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"cc @Narsil as well",
"Hi @tristinb !\r\n\r\nThank you for reporting this issue. I just tested your code snippet on a [google colab ](https://colab.research.google.com/drive/1OV1ICDidCPKFQ9O6XygTzKQKDCMEK8-m?usp=sharing) (with the latest available versions of the libraries) and I observe much smaller time differe... | 1,664 | 1,664 | 1,664 | NONE | null | ### System Info
- `transformers` version: 4.19.0
- Platform: macOS-12.6-x86_64-i386-64bit
- Python version: 3.9.7
- Huggingface_hub version: 0.6.0
- PyTorch version (GPU?): 1.11.0 (False)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not ins... | {
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https://api.github.com/repos/huggingface/transformers/issues/19219 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19219/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19219/comments | https://api.github.com/repos/huggingface/transformers/issues/19219/events | https://github.com/huggingface/transformers/pull/19219 | 1,388,215,381 | PR_kwDOCUB6oc4_t__I | 19,219 | Added tests for yaml and json parser | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Where can one find examples of yaml or json configs ?"
] | 1,664 | 1,664 | 1,664 | CONTRIBUTOR | null | # What does this PR do?
Fixes #19116
## Before submitting
- [x] adding as parse_yaml_file method to HfArgumentParser with the code above
- [x] refactor the dupe code between parse_json_file and parse_dict similar to the code above
- [x] add a small test of parse_yaml_file
- [x] add a small test of parse_j... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@patrickvonplaten Could you take a look at this PR for Wav2Vec2, thanks :-)"
] | 1,664 | 1,664 | 1,664 | CONTRIBUTOR | null | # What does this PR do?
Doc examples in [Wav2Vec2ForPreTraining](https://huggingface.co/docs/transformers/model_doc/wav2vec2#transformers.Wav2Vec2ForPreTraining.forward.example) and [Wav2Vec2ConformerForPreTraining](https://huggingface.co/docs/transformers/model_doc/wav2vec2-conformer#transformers.Wav2Vec2Conformer... | {
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https://api.github.com/repos/huggingface/transformers/issues/19217 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19217/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19217/comments | https://api.github.com/repos/huggingface/transformers/issues/19217/events | https://github.com/huggingface/transformers/pull/19217 | 1,387,835,063 | PR_kwDOCUB6oc4_su3s | 19,217 | Fix deprecation warning for return_all_scores | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"For the quality test you can run \r\n\r\n``` \r\npip install transformers[dev] # or pip install -e .[dev] in the directory\r\nmake fixup\r\n```\r\nAnd push the changes.",
"Pinging @gante in turn, who will know better than me :-) "
... | 1,664 | 1,664 | 1,664 | CONTRIBUTOR | null | # What does this PR do?
Fixes the deprecation warning for return_all_scores to reflect what the code is doing.
<!--
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 ... | {
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] | 1,664 | 1,664 | 1,664 | COLLABORATOR | null | # What does this PR do?
This PR adds more tests as a follow-up to #19206. None of those tests pass without the fixes in #19206 | {
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https://api.github.com/repos/huggingface/transformers/issues/19215 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19215/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19215/comments | https://api.github.com/repos/huggingface/transformers/issues/19215/events | https://github.com/huggingface/transformers/pull/19215 | 1,387,695,669 | PR_kwDOCUB6oc4_sQ-e | 19,215 | Translation italian: add new pipeline | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,664 | 1,664 | 1,664 | CONTRIBUTOR | null | ## What does this PR do?
Italian translation of doc related to the add_new_pipeline of :hugs: Transformers.
* updated _toctree.yml
* added add_new_pipeline.mdx
## Before submitting
- [X] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [X] Did you read the [co... | {
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https://api.github.com/repos/huggingface/transformers/issues/19214 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19214/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19214/comments | https://api.github.com/repos/huggingface/transformers/issues/19214/events | https://github.com/huggingface/transformers/issues/19214 | 1,387,643,686 | I_kwDOCUB6oc5StcMm | 19,214 | ERROR: MPNetTokenizerFast' object has no attribute '_in_target_context_manager | {
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"Also, I get this error:\r\n\r\nHTTPSConnectionPool(host='huggingface.co', port=443): Max retries exceeded with url: /api/models/sentence-transformers/paraphrase-MiniLM-L6-v2 (Caused by NewConnectionError('<urllib3.connection.HTTPSConnection object at 0x7f2cc8a5e8d0>: Failed to establish a new connection: [Errno 11... | 1,664 | 1,675 | 1,668 | NONE | null | HI Team,
Can anyone help me on above error. I was using SentenceTransformer('paraphrase-mpnet-base-v2'). When deploy the model and testing performed I got this error. | {
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https://api.github.com/repos/huggingface/transformers/issues/19212 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19212/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19212/comments | https://api.github.com/repos/huggingface/transformers/issues/19212/events | https://github.com/huggingface/transformers/issues/19212 | 1,387,625,775 | I_kwDOCUB6oc5StX0v | 19,212 | T5 model predict <UNK> | {
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"Hi @moseshu 👋 As per our [issues guidelines](https://github.com/huggingface/transformers/blob/main/ISSUES.md), we reserve GitHub issues for bugs in the repository and/or feature requests. For any other matters, we'd like to invite you to use our [forum](https://discuss.huggingface.co/) 🤗"
] | 1,664 | 1,664 | 1,664 | NONE | null | config = T5Config(num_layers=12,
num_decoder_layers=12,
pad_token_id=0,
es_token_id=VOCAB_SIZE + 2,
model_parallel=True,
vocab_size=VOCAB_SIZE,
num_heads=12,
d_model=1024,
d_kv=64,
d_ff=3072,
decoder_start_token_id= VOCAB_SIZE + 1,
)
model = T5ForConditionalGeneration(config)
this is my T5 model config.
e... | {
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https://api.github.com/repos/huggingface/transformers/issues/19211 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19211/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19211/comments | https://api.github.com/repos/huggingface/transformers/issues/19211/events | https://github.com/huggingface/transformers/issues/19211 | 1,387,590,333 | I_kwDOCUB6oc5StPK9 | 19,211 | T5model result get <UNK> | {
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config = T5Config(num_layers=12,
num_decoder_layers=12,
pad_token_id=0,
es_token_id=VOCAB_SIZE + 2,
model_parallel=True,
vocab_size=VOCAB_SIZE,
num_heads=12,
... | {
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https://api.github.com/repos/huggingface/transformers/issues/19210 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19210/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19210/comments | https://api.github.com/repos/huggingface/transformers/issues/19210/events | https://github.com/huggingface/transformers/pull/19210 | 1,387,269,191 | PR_kwDOCUB6oc4_q2Bq | 19,210 | Fix torch.fx supports (ViT Model) | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"I replied on the issue thread. It seems like we do not need that.",
"Yes, I agree with that\r\nI didn't know that\r\nthank you for your comment\r\n\r\nI'll close this PR :)"
] | 1,664 | 1,664 | 1,664 | CONTRIBUTOR | null | # What does this PR do?
Fixes #19209
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md#start-contributing-pull-requests... | {
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https://api.github.com/repos/huggingface/transformers/issues/19209 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19209/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19209/comments | https://api.github.com/repos/huggingface/transformers/issues/19209/events | https://github.com/huggingface/transformers/issues/19209 | 1,387,256,877 | I_kwDOCUB6oc5Sr9wt | 19,209 | torch.fx not working on ViT model | {
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"I am a bit surprised with this situation, as `ViTModel` is tested against `test_torch_fx_xxx` methods, which go through\r\nhttps://github.com/huggingface/transformers/blob/2d956958252617a178a68a06582c99b133fe7d3d/tests/test_modeling_common.py#L772\r\n\r\nHowever, I realized that `symbolic_trace` is `from transform... | 1,664 | 1,664 | 1,664 | CONTRIBUTOR | null | ### System Info
transformer version: 4.23.0.dev0
platform: windows 11, AMD64
python version: 3.7.9
### Who can help?
@NielsRogge
### Information
- [X] The official example scripts
- [ ] My own modified scripts
### Tasks
- [X] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ]... | {
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https://api.github.com/repos/huggingface/transformers/issues/19208 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19208/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19208/comments | https://api.github.com/repos/huggingface/transformers/issues/19208/events | https://github.com/huggingface/transformers/pull/19208 | 1,387,174,423 | PR_kwDOCUB6oc4_qh6E | 19,208 | Fix trainer seq2seq qa.py evaluate log and ft script | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Synchronized data from the main branch."
] | 1,664 | 1,664 | 1,664 | CONTRIBUTOR | null | # What does this PR do?
<!--
This PR fix the If eval tries to log eval logs with prediction_loss_only and logging_dir, it will not be logged, so I changed it so that logs will be saved.
-->
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the ... | {
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https://api.github.com/repos/huggingface/transformers/issues/19207 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19207/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19207/comments | https://api.github.com/repos/huggingface/transformers/issues/19207/events | https://github.com/huggingface/transformers/issues/19207 | 1,386,749,868 | I_kwDOCUB6oc5SqB-s | 19,207 | Pipeline return_all_scores deprecation warning might be incorrect | {
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"@ogabrielluiz ,\r\n\r\nYou are correct, we could adapt the error message based on the value of `return_all_scores` (`True -> top_k=None` , `False -> top_k=1`) .\r\n\r\nWould you be willing to open a PR on this ?",
"On it. \r\n\r\nThanks!"
] | 1,664 | 1,664 | 1,664 | CONTRIBUTOR | null | ### System Info
Transformers version: 4.21.3
Python version: 3.8.10
### Who can help?
@Narsil
### 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 de... | {
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https://api.github.com/repos/huggingface/transformers/issues/19206 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19206/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19206/comments | https://api.github.com/repos/huggingface/transformers/issues/19206/events | https://github.com/huggingface/transformers/pull/19206 | 1,386,623,305 | PR_kwDOCUB6oc4_orHj | 19,206 | Fix cached_file in offline mode for cached non-existing files | {
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"Thank you for such a quick fix!",
"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,664 | 1,664 | 1,664 | COLLABORATOR | null | # What does this PR do?
In offline mode, we sometimes returned the `_CACHED_NO_EXIST` constant instead of `None` for non-existing objects, since we now cache that non-existence. This PR fixes it.
Fixes #19186 | {
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https://api.github.com/repos/huggingface/transformers/issues/19213 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19213/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19213/comments | https://api.github.com/repos/huggingface/transformers/issues/19213/events | https://github.com/huggingface/transformers/issues/19213 | 1,387,627,863 | I_kwDOCUB6oc5StYVX | 19,213 | Non-descriptive error when initiating gpt2 tokenizer without internet | {
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"Update\r\n======\r\n\r\nThis was caused by a poor internet connection. It is not obvious that this is being caused by a bad or non-existent internet connection. Could better error logging be added here?",
"I took the liberty of moving this issue to `transformers` since the error seemed to have occured here.",
... | 1,664 | 1,666 | 1,666 | NONE | null | ```
File "C:\[path]\api\utilities\tokenizers.py", line 4, in <module>
gpt2 = GPT2TokenizerFast.from_pretrained("gpt2")
File "C:\[path]\venv\lib\site-packages\transformers\tokenization_utils_base.py", line 1750, in from_pretrained
commit_hash = extract_commit_hash(resolved_vocab_files[file_id], commit_ha... | {
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https://api.github.com/repos/huggingface/transformers/issues/19205 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19205/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19205/comments | https://api.github.com/repos/huggingface/transformers/issues/19205/events | https://github.com/huggingface/transformers/pull/19205 | 1,386,222,186 | PR_kwDOCUB6oc4_nUBP | 19,205 | Improve DETR post-processing methods | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@amyeroberts @sgugger thank you both for the feedback! Could you take a final look at the PR? If everything looks fine, I'll apply the same changes to MaskFormer and update the model cards.",
"> Thanks for working on this. As menti... | 1,664 | 1,665 | 1,664 | CONTRIBUTOR | null | # What does this PR do?
- Adds `post_process_object_detection`, `post_process_semantic_segmentation`, `post_process_instance_segmentation` and `post_process_panoptic_segmentation` methods with optional resizing and thresholding to filter out low probability predictions.
This PR is part of a larger effort to ensure ... | {
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"I still need to extend the tests to set the `max_seq_len` to be low (e.g. 10) and make sure that they work.\r\n\r\n@NielsRogge another thing we could do in this change, or a separate one if y'all prefer, is to support multiple pages. The [DocQuery pipeline](https://github.com/impira/docquery/blob/main/src/docquery... | 1,664 | 1,665 | 1,665 | CONTRIBUTOR | null | # What does this PR do?
Extends DocumentQuestionAnswering pipeline to include support for multiple spans.
Fixes #18414
## Before submitting
- [x] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md#start-contributing-pull-requests),
Pull Requ... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,664 | 1,664 | 1,664 | COLLABORATOR | null | # What does this PR do?
In past CI with PyTorch 1.9, we got for `MCTCTFeatureExtractor`
```bash
AttributeError: module 'torchaudio.functional' has no attribute 'melscale_fbanks'
```
This PR only adds a warning in `feature_extraction_mctct`, so we have this information tracked. Let's discuss if we should skip ... | {
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https://api.github.com/repos/huggingface/transformers/issues/19202 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19202/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19202/comments | https://api.github.com/repos/huggingface/transformers/issues/19202/events | https://github.com/huggingface/transformers/pull/19202 | 1,386,082,928 | PR_kwDOCUB6oc4_m2ZA | 19,202 | Use repo_type instead of deprecated datasets repo IDs | {
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"Research projects are examples we do not actively maintain and pin all dependencies to a specific version.",
"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,664 | 1,664 | 1,664 | COLLABORATOR | null | # What does this PR do?
In the next release of `huggingface_hub` trying to access any repo ID with the `"datasets/"` prefix will fail. `repo_type="dataset"` must be used instead.
This PR fixes all instances except for research projects. | {
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https://api.github.com/repos/huggingface/transformers/issues/19201 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19201/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19201/comments | https://api.github.com/repos/huggingface/transformers/issues/19201/events | https://github.com/huggingface/transformers/pull/19201 | 1,386,023,732 | PR_kwDOCUB6oc4_mpl1 | 19,201 | Use `math.pi` instead of `torch.pi` in `MaskFormer` | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"> If it's just for `torch.pi` can we change this to `math.pi` and have the model work with PyTorch 1.9?\r\n\r\nI can change it to `math.pi`."
] | 1,664 | 1,664 | 1,664 | COLLABORATOR | null | # What does this PR do?
`MaskFormer` uses `torch.pi` which is only available in `torch >= 1.10`. The Past CI with PyTorch 1.9 gives
```bash
AttributeError: module 'torch' has no attribute 'pi'
```
This PR adds a warning if PT <= 1.9 for this model, similar in `ViltModel` https://github.com/huggingface/transform... | {
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https://api.github.com/repos/huggingface/transformers/issues/19200 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19200/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19200/comments | https://api.github.com/repos/huggingface/transformers/issues/19200/events | https://github.com/huggingface/transformers/pull/19200 | 1,385,988,582 | PR_kwDOCUB6oc4_miRV | 19,200 | Use `assertAlmostEqual` in `BloomEmbeddingTest.test_logits` | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,664 | 1,664 | 1,664 | COLLABORATOR | null | # What does this PR do?
`BloomEmbeddingTest.test_logits` currently uses `assertEqual` to compare 2 floats. We should instead use `assertAlmostEqual`.
Currently we don't see this test failing. However, with different PyTorch versions, we might get test failure - this happens for Past CI (PyTroch 1.10), where we go... | {
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https://api.github.com/repos/huggingface/transformers/issues/19199 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19199/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19199/comments | https://api.github.com/repos/huggingface/transformers/issues/19199/events | https://github.com/huggingface/transformers/issues/19199 | 1,385,893,230 | I_kwDOCUB6oc5Smw1u | 19,199 | Can't load too big text file for dataset (RAM exhausts), HELP PLEASE !!!!! | {
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"try using iterable dataset and decrease the batch_size",
"@Kunlun-Zhu \r\n\r\nI am a bit new to HF environment, can you please provide an example code snippet to do so ?\r\n\r\nThanks !!",
"> @Kunlun-Zhu\r\n> \r\n> I am a bit new to HF environment, can you please provide an example code snippet to do so ?\r\n>... | 1,664 | 1,667 | 1,667 | NONE | null | ### System Info
MacBook Pro (13-inch, M1, 2020)
Chip Apple M1
Memory 16 GB
(Also tried with Google Colab)
### Who can help?
copy of #19161
Hello All,
A bit new to HuggingFace environment.
I am trying to load a big text file for pertaining a BERT model from scratch the size of the txt file is about 11... | {
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https://api.github.com/repos/huggingface/transformers/issues/19198 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19198/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19198/comments | https://api.github.com/repos/huggingface/transformers/issues/19198/events | https://github.com/huggingface/transformers/pull/19198 | 1,385,888,861 | PR_kwDOCUB6oc4_mN1m | 19,198 | Add MarkupLM | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Ok, so I added requires_backends(\"bs4\"), however the dependency check is not working for me:\r\n\r\n```\r\n(env) niels@brutasse:~/python_projects/transformers$ python\r\nPython 3.9.10 (main, Jan 25 2022, 09:49:28) \r\n[GCC 8.4.0] o... | 1,664 | 1,664 | 1,664 | CONTRIBUTOR | null | # What does this PR do?
This PR implements the [MarkupLM](https://arxiv.org/abs/2110.08518) model by Microsoft Research.
MarkupLM is very similar to LayoutLM(v1), namely a Transformer encoder pre-trained on another domain than just text (HTML web pages). Similar to how LayoutLM adds additional embeddings for the ... | {
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https://api.github.com/repos/huggingface/transformers/issues/19197 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19197/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19197/comments | https://api.github.com/repos/huggingface/transformers/issues/19197/events | https://github.com/huggingface/transformers/issues/19197 | 1,385,764,105 | I_kwDOCUB6oc5SmRUJ | 19,197 | Converting TFBartForConditionalGeneration to BartForConditionalGeneration does not work | {
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"Hi @meliksahturker 👋 \r\n\r\nLoading TF weights into a PT model is an uncommon task, so our codebase may have issues. I'd like to request two things:\r\n1. I've recently touched TFBart code -- can you confirm that the problem persists with the current `main` (`pip install git+https://github.com/huggingface/trans... | 1,664 | 1,667 | 1,667 | NONE | null | ### System Info
Transformers version: 4.22.1
Platform: SMP Debian 4.19.249-2 (2022-06-30) x86_64 GNU/Linux
Python version: 3.7.12
### Who can help?
@patil-suraj
### Information
- [ ] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in the `e... | {
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https://api.github.com/repos/huggingface/transformers/issues/19196 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19196/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19196/comments | https://api.github.com/repos/huggingface/transformers/issues/19196/events | https://github.com/huggingface/transformers/issues/19196 | 1,385,676,263 | I_kwDOCUB6oc5Sl73n | 19,196 | Benchmarking text generations | {
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"Already discussed here: https://github.com/huggingface/transformers/issues/15512"
] | 1,664 | 1,664 | 1,664 | NONE | null | ### Feature request
Currently, we can benchmark Bert or Roberta with `PyTorchBenchmark`. I am just wondering, can we do the same thing for text-generation models, e.g., T5?
```
from transformers import PyTorchBenchmark, PyTorchBenchmarkArguments
config = AutoConfig.from_pretrained('t5-base')
benchmark = PyTorc... | {
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https://api.github.com/repos/huggingface/transformers/issues/19195 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19195/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19195/comments | https://api.github.com/repos/huggingface/transformers/issues/19195/events | https://github.com/huggingface/transformers/pull/19195 | 1,385,627,759 | PR_kwDOCUB6oc4_lY4- | 19,195 | [wip: testing doc-builder] | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_19195). 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... | 1,664 | 1,700 | 1,667 | CONTRIBUTOR | null | Testing https://github.com/huggingface/doc-builder/pull/301
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"It's very hard to help without knowing what your dataset is. The `Trainer` will drop columns in your dataset that are not accepted by your model, so it might be that. Use `remove_unused_columns=False` in your `TrainingArguments` and see if it changes anything.",
"> It's very hard to help without knowing what you... | 1,664 | 1,664 | 1,664 | NONE | null | ### System Info
- `transformers` version: 4.22.1
- Platform: Linux-3.10.0-1127.el7.x86_64-x86_64-with-glibc2.27
- Python version: 3.9.7
- Huggingface_hub version: 0.9.1
- PyTorch version (GPU?): 1.11.0 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- J... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Hi there @WaterKnight1998, we have an open PR (https://github.com/huggingface/transformers/pull/19027) that aims to solve this problem. I believe @NielsRogge and team prefer not to include `donut-swin` in the list of `AutoModelForDoc... | 1,664 | 1,664 | 1,664 | NONE | null | # What does this PR do?
Currently if you try to use the Document Question Answering pipeline with Donut model a warning is thrown telling that the model is not supported. However, the model appears as supported in the documentation.
Reviewers:
Models:
- donut: @NielsRogge
Library:
- pipelines: @ankrg... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@yao-matrix"
] | 1,664 | 1,666 | 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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"@gante from what I can tell, generation_flax_utils.py does not have a `use_cache` parameter.",
"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,664 | 1,664 | 1,664 | CONTRIBUTOR | null | # What does this PR do?
Fixes #19079
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md#start-contributing-pull-requests... | {
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https://api.github.com/repos/huggingface/transformers/issues/19190 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19190/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19190/comments | https://api.github.com/repos/huggingface/transformers/issues/19190/events | https://github.com/huggingface/transformers/issues/19190 | 1,385,146,644 | I_kwDOCUB6oc5Sj6kU | 19,190 | LayoutLMV3 Training with Morethan 512 tokens. | {
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"cc @NielsRogge ",
"> \r\n@purnasai-cyient \r\nHi,\r\nI have same issue with you. Have you solved it?\r\n\r\n> Hi, It is mentioned in the Research paper and in Model docs that the model is trained with `maximum_length = 512` tokens. But when we have large tokens with an average of 1124 tokens, I thought to increa... | 1,664 | 1,691 | 1,664 | NONE | null | Hi, It is mentioned in the Research paper and in Model docs that the model is trained with `maximum_length = 512` tokens. But when we have large tokens with an average of 1124 tokens, I thought to increase `maximum_length = 1024`. But since it is limited, I have used `Stride` and implemented a dataclass.
![image](ht... | {
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https://api.github.com/repos/huggingface/transformers/issues/19189 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19189/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19189/comments | https://api.github.com/repos/huggingface/transformers/issues/19189/events | https://github.com/huggingface/transformers/pull/19189 | 1,385,103,227 | PR_kwDOCUB6oc4_jytJ | 19,189 | Add decisiontransformer to onnx config | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_19189). All of your documentation changes will be reflected on that endpoint.",
"@ChainYo @regisss bumping this PR",
"> @ChainYo @regisss bumping this PR\r\n\r\nIt looks good to me!\r\nThanks for iterating on this, @skanj... | 1,664 | 1,667 | 1,667 | NONE | null | # What does this PR do?
Adds an onnx configuration for decision transformer
Fixes # (issue)
https://github.com/huggingface/transformers/issues/18191
## 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 [contributo... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thanks for your PR! Can you just run `make style` on your branch to fix the code quality issue?",
"Yeah Sure!\r\n",
"Done @sgugger!!",
"Thanks again!"
] | 1,664 | 1,664 | 1,664 | CONTRIBUTOR | null | # What does this PR do?
Works on #19116
## Summary
- [x] adding as parse_yaml_file method to HfArgumentParser with the code above
- [x] refactor the dupe code between parse_json_file and parse_dict similar to the code above
- [ ] add a small test of parse_yaml_file
- [ ] add a small test of parse_json_f... | {
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"Can you please mention the directory and the file name where you are changing this MAP to LIST.\r\nThank You.",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues that d... | 1,664 | 1,666 | 1,666 | NONE | null | `$from transformers import ALBERT_PRETRAINED_CONFIG_ARCHIVE_MAP`
this solved my issue. Thank you everyone for support. you are great.
https://hjlabs.in
_Originally posted by @hemangjoshi37a in https://github.com/huggingface/transformers/issues/5848#issuecomment-1242951220_
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### System Info
- `transformers` version: 4.22.1
- Platform: Linux-5.15.0-41-generic-x86_64-with-glibc2.31
- Python version: 3.9.12
- Hug... | {
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"How are you running the notebook? It works fine on my side.",
"I'm unable to upload it here, but it's literally the original example, sans the `notebook_login` and `push_to_hub=False`. \r\nAnd it *works* on my local machine (installed the same libraries as listed above, except my kernel is `5.19.8-200.fc36.x86_6... | 1,664 | 1,667 | 1,667 | NONE | null | ### System Info
- `transformers` version: 4.22.1
- Platform: Linux-4.19.0-21-cloud-amd64-x86_64-with-debian-10.13
- Python version: 3.7.12
- Huggingface_hub version: 0.9.1
- PyTorch version (GPU?): 1.11.0 (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/19183 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19183/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19183/comments | https://api.github.com/repos/huggingface/transformers/issues/19183/events | https://github.com/huggingface/transformers/pull/19183 | 1,384,914,578 | PR_kwDOCUB6oc4_jUcw | 19,183 | chore: add expected output to the sample code. | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@ydshieh here's what I have done so far:\r\n\r\n* Update the weight conversion script, so we have the ImageNet-1k label mapping in the model config. \r\n* Update the `modeling_vit_msn.py` script with the expected output (which is bas... | 1,664 | 1,664 | 1,664 | MEMBER | null | Fixes the issue as described here: https://github.com/huggingface/transformers/pull/18815#issuecomment-1256338065
@ydshieh FYI. | {
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https://api.github.com/repos/huggingface/transformers/issues/19182 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19182/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19182/comments | https://api.github.com/repos/huggingface/transformers/issues/19182/events | https://github.com/huggingface/transformers/issues/19182 | 1,384,868,038 | I_kwDOCUB6oc5Si2jG | 19,182 | Adding State-of-the-art Contrastive Search to the Codebase of model.generate() | {
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"@patrickvonplaten @sgugger @stas00 Thank you very much for your contributions to the codebase of `generation_utils`. Could you please take a moment to review our request, which we believe could significantly facilitate the development of the text generation community?",
"Wow this is very cool! @gante do you have... | 1,664 | 1,697 | 1,666 | CONTRIBUTOR | null | ### Feature request
****
<span id='all_catelogue'/>
## Catalogue:
* <a href='#abstract'>1. Abstract</a>
* <a href='#introduction'>2. Introduction</a>
* <a href='#demonstration'>3. Demonstration of the Awesome Results from Contrastive Search</a>
* <a href='#opt_demonstration'>3.1. Demonstration with OPT</a... | {
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https://api.github.com/repos/huggingface/transformers/issues/19181 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19181/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19181/comments | https://api.github.com/repos/huggingface/transformers/issues/19181/events | https://github.com/huggingface/transformers/issues/19181 | 1,384,678,803 | I_kwDOCUB6oc5SiIWT | 19,181 | RuntimeError: Expected object of scalar type Long but got scalar type Float for argument #2 'target' in call to _thnn_nll_loss_forward | {
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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... | 1,664 | 1,667 | 1,667 | NONE | null | ### System Info
Hi,
I got the following issue `RuntimeError: Expected object of scalar type Long but got scalar type Float for argument #2 'target' in call to _thnn_nll_loss_forward` when I was finetuning the stsb by using a finetuned roberta. I use [this code](https://github.com/huggingface/transformers/blob/mai... | {
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https://api.github.com/repos/huggingface/transformers/issues/19180 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19180/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19180/comments | https://api.github.com/repos/huggingface/transformers/issues/19180/events | https://github.com/huggingface/transformers/issues/19180 | 1,384,642,248 | I_kwDOCUB6oc5Sh_bI | 19,180 | Connection error even though files are already downloaded. | {
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"This should be fixed by https://github.com/huggingface/transformers/pull/19206, which we just released in a patch. Could you upgrade your transformers version and let me know if the issue is fixed? Thank you!",
"This issue has been automatically marked as stale because it has not had recent activity. If you thin... | 1,664 | 1,667 | 1,667 | NONE | null | ### System Info
transformers version: 4.16.2
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [X] My own task or dataset (give details below)
### Repr... | {
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https://api.github.com/repos/huggingface/transformers/issues/19179 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19179/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19179/comments | https://api.github.com/repos/huggingface/transformers/issues/19179/events | https://github.com/huggingface/transformers/pull/19179 | 1,384,498,580 | PR_kwDOCUB6oc4_iKSn | 19,179 | Small nit on log output | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_19179). All of your documentation changes will be reflected on that endpoint.",
"It seems there is an issue with your CircleCI permissions, the tests won't run.\r\nCould you try refreshing your permissions as shown [here](h... | 1,663 | 1,667 | 1,667 | NONE | null | # What does this PR do?
Changes you -> your in a log output.
<!--
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 contrib... | {
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