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https://api.github.com/repos/huggingface/transformers/issues/16769 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16769/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16769/comments | https://api.github.com/repos/huggingface/transformers/issues/16769/events | https://github.com/huggingface/transformers/issues/16769 | 1,203,793,444 | I_kwDOCUB6oc5HwG4k | 16,769 | Invalid CLS masking in question answer pipelines top K calculation | {
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"Hi @antonyscerri ,\r\n\r\nThank you very much for the report ! \r\n\r\nThis definitely seems like a legitimate issue.\r\n\r\nDo you have an example where this triggers an error really in the pipeline ? (This is to craft a test to make sure this is tested against.)\r\nI will try to find one on a dummy example, but ... | 1,649 | 1,650 | 1,650 | NONE | null | ## Environment info
- `transformers` version: 4.18.0
- Platform: Linux-5.10.102-99.473.amzn2.x86_64-x86_64-with-glibc2.10
- Python version: 3.8.12
- Huggingface_hub version: 0.5.1
- PyTorch version (GPU?): 1.10.0 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installe... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,649 | 1,649 | 1,649 | CONTRIBUTOR | null | Fixes #16767 | {
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https://api.github.com/repos/huggingface/transformers/issues/16767 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16767/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16767/comments | https://api.github.com/repos/huggingface/transformers/issues/16767/events | https://github.com/huggingface/transformers/issues/16767 | 1,203,789,893 | I_kwDOCUB6oc5HwGBF | 16,767 | Missing commas causing concatenation | {
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This is the affected line:
https://github.com/huggingface/transformers/blob/main/tests/bert_japanese/test_tokenization_bert_japanese.py#L176
https://github.com/huggingface/transformers/blob/main/tests/bert_japan... | {
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https://api.github.com/repos/huggingface/transformers/issues/16766 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16766/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16766/comments | https://api.github.com/repos/huggingface/transformers/issues/16766/events | https://github.com/huggingface/transformers/pull/16766 | 1,203,683,762 | PR_kwDOCUB6oc42Mkjg | 16,766 | Fix PT TF ViTMAE | {
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"Let's merge since CI fails quite a lot on this one",
"> Let's merge since CI fails quite a lot on this one\r\n\r\nOk! "
] | 1,649 | 1,649 | 1,649 | COLLABORATOR | null | # What does this PR do?
Fix PT TF ViTMAE: just use some settings both in PT/TF (instead of in only one model). Otherwise, the PT/TF equivalence tests for them won't use something like `std = 0.02` , and gets larger (init) weights --> larger diff in outputs.
Also, **the `eps` for `layer norm` layers should be the... | {
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https://api.github.com/repos/huggingface/transformers/issues/16765 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16765/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16765/comments | https://api.github.com/repos/huggingface/transformers/issues/16765/events | https://github.com/huggingface/transformers/pull/16765 | 1,203,646,211 | PR_kwDOCUB6oc42McjN | 16,765 | Fixup no_trainer examples scripts and add more tests | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,649 | 1,649 | 1,649 | CONTRIBUTOR | null | # Fixup `no_trainer` Examples and Bolster their tests
## What does this add?
This changes the logging behavior inside the `no_trainer` scripts, slightly changes how the initial configuration is stored, and adds tests for the tracking API.
## Who is it for?
Users of `transformers` who want to try out `Accelerate` qu... | {
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https://api.github.com/repos/huggingface/transformers/issues/16764 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16764/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16764/comments | https://api.github.com/repos/huggingface/transformers/issues/16764/events | https://github.com/huggingface/transformers/issues/16764 | 1,203,619,437 | I_kwDOCUB6oc5HvcZt | 16,764 | NER training crash | {
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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... | 1,649 | 1,658 | 1,653 | NONE | null | transformers version: 4.17.0
Hi, I run the script for NER task for [few-nerd](https://huggingface.co/datasets/dfki-nlp/few-nerd) dataset
https://github.com/huggingface/transformers/blob/main/examples/pytorch/token-classification/run_ner_no_trainer.py
```
CUDA_VISIBLE_DEVICES=3 python -u run_ner_no_trainer.p... | {
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https://api.github.com/repos/huggingface/transformers/issues/16763 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16763/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16763/comments | https://api.github.com/repos/huggingface/transformers/issues/16763/events | https://github.com/huggingface/transformers/pull/16763 | 1,203,576,111 | PR_kwDOCUB6oc42MNwY | 16,763 | Fix batch size in evaluation loop | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,649 | 1,649 | 1,649 | COLLABORATOR | null | # What does this PR do?
The batch size used in the evaluation loop is wrong: it's using the per device batch size, which is different from the actual batch size when using DataParallel with more than one GPU. As a result, the `test_evaluate` test is failing for 2 GPUs (see #16716).
This PR fixes that. | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"As an example, loading a set of PyTorch float16 Bart model weights into a FlaxBartForCausalLM model produces the following warning:\r\n```python\r\nfrom transformers import FlaxBartForCausalLM\r\nmodel = FlaxBartForCausalLM.from_pret... | 1,649 | 1,687 | 1,649 | CONTRIBUTOR | null | The Flax `.from_pretrained` method respects the dtype of the model weights from which it is loaded. For model weights stored in bfloat16/float16, Flax models are instantiated with parameter weights in bfloat16/float16 respectively (see #16736). The general assumption is that all Flax model weights are in float32. Loadi... | {
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https://api.github.com/repos/huggingface/transformers/issues/16761 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16761/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16761/comments | https://api.github.com/repos/huggingface/transformers/issues/16761/events | https://github.com/huggingface/transformers/pull/16761 | 1,203,553,466 | PR_kwDOCUB6oc42MI_z | 16,761 | CI: pip install now updates | {
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"This PR actually needs further changes, the adding `-U` doesn't solve it (possibly because of other version requirements in the packages installed in the image). \r\n\r\nShould I update the dependencies of click (to `click>=8.0`, required by black) and protobuf (to `protobuf>=3.8.0`, required by tensorflow)? cc @L... | 1,649 | 1,650 | 1,649 | MEMBER | null | # What does this PR do?
Follow up from https://github.com/huggingface/transformers/pull/16751: `pip install` in non-remote GHA workflows now updates packages, to allow us to override pre-installed versions. | {
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https://api.github.com/repos/huggingface/transformers/issues/16760 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16760/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16760/comments | https://api.github.com/repos/huggingface/transformers/issues/16760/events | https://github.com/huggingface/transformers/pull/16760 | 1,203,549,280 | PR_kwDOCUB6oc42MIIb | 16,760 | [Data2Vec] Add data2vec vision | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Uploaded checkpoints are here: https://huggingface.co/models?other=data2vec-vision . Will add a README to those ones and all other data2vec ones after this PR is merged"
] | 1,649 | 1,650 | 1,650 | MEMBER | 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/16759 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16759/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16759/comments | https://api.github.com/repos/huggingface/transformers/issues/16759/events | https://github.com/huggingface/transformers/issues/16759 | 1,203,545,122 | I_kwDOCUB6oc5HvKQi | 16,759 | How to use Wav2Vec2ProcessorWithLM in pipeline? | {
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"cc @patrickvonplaten ",
"Hey @gxbag,\r\n\r\nPlease make sure to provide a reproducible code snippet. I cannot run the above snippet because I don't have access to `\"language_model/vocabulary.txt\"`.\r\n\r\nRegarding the issue, you should not pass a processor object as the model object. The model object should o... | 1,649 | 1,661 | 1,654 | NONE | null | I created a `Wav2Vec2ProcessorWithLM` as described in the blog post (https://huggingface.co/blog/wav2vec2-with-ngram).
How can I use it in the `pipeline`?
```python
from transformers import AutoProcessor
processor = AutoProcessor.from_pretrained("facebook/wav2vec2-large-960h-lv60-self")
vocab_dict = processor.... | {
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https://api.github.com/repos/huggingface/transformers/issues/16758 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16758/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16758/comments | https://api.github.com/repos/huggingface/transformers/issues/16758/events | https://github.com/huggingface/transformers/pull/16758 | 1,203,536,355 | PR_kwDOCUB6oc42MFZt | 16,758 | Add onnx export of models with a multiple choice classification head | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thanks for the review as well as the reminder @sgugger !",
"Thanks for the reviews @lewtun and @michaelbenayoun. \r\nI have added some comments to make things clearer as well as the BigBird, Data2VecText, Electra and FlauBERT mode... | 1,649 | 1,650 | 1,650 | COLLABORATOR | null | This PR adds the export support of models with a multiple-choice classification head, resolving [#16695](https://github.com/huggingface/transformers/issues/16695)
This includes the following additions:
* The `"multiple-choice"` feature was added to the corresponding model topologies
* The dummy inputs are generate... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,649 | 1,649 | 1,649 | CONTRIBUTOR | null | as discussed on slack, explain where deps are when docker images are used.
@LysandreJik | {
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https://api.github.com/repos/huggingface/transformers/issues/16756 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16756/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16756/comments | https://api.github.com/repos/huggingface/transformers/issues/16756/events | https://github.com/huggingface/transformers/pull/16756 | 1,203,496,746 | PR_kwDOCUB6oc42L8-j | 16,756 | Add warning when using older version of torch for ViltFeatureExtractor | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"I'd update to use `logging.warning` instead of `warnings.warn`, but other than that it looks like a sound approach.",
"Ok I made the change",
"Sorry should have been clearer, in this instance you should move the `logger` instanti... | 1,649 | 1,654 | 1,654 | CONTRIBUTOR | null | Closes https://github.com/huggingface/transformers/issues/16637 | {
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https://api.github.com/repos/huggingface/transformers/issues/16755 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16755/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16755/comments | https://api.github.com/repos/huggingface/transformers/issues/16755/events | https://github.com/huggingface/transformers/pull/16755 | 1,203,491,402 | PR_kwDOCUB6oc42L72N | 16,755 | Kill async pushes when calling push_to_hub with blocking=True | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"I think this is the right solution, but I wonder if we can't test it in a reproducible manner. Maybe we could do something like the following:\r\n\r\n- Commit a largish file, and push that\r\n- Reset the head without keeping the chan... | 1,649 | 1,649 | 1,649 | COLLABORATOR | null | # What does this PR do?
This PR fixes a bug that sometimes appear in the `Trainer` when `push_to_hub=True`: if one of the async pushes finishes after a regular non-async push, the history gets messed up and we end up with an error like this:
```
The push command with PID 1468 failed.
remote: error: cannot lock ... | {
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https://api.github.com/repos/huggingface/transformers/issues/16754 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16754/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16754/comments | https://api.github.com/repos/huggingface/transformers/issues/16754/events | https://github.com/huggingface/transformers/pull/16754 | 1,203,476,381 | PR_kwDOCUB6oc42L4qo | 16,754 | Update GPT2 I/O definition to be recognized by ORT optimizer. | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_16754). 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... | 1,649 | 1,655 | 1,655 | MEMBER | null | This PR aims at making the GPT2 + past more compatible with ONNX Runtime optimizer (especially attention fusion).
Past key values should be presented as a single tensor with both key and value stacked on the leading axis.
It also provide a concat mecanism to merge the resulting past key values so it's a single tens... | {
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https://api.github.com/repos/huggingface/transformers/issues/16753 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16753/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16753/comments | https://api.github.com/repos/huggingface/transformers/issues/16753/events | https://github.com/huggingface/transformers/issues/16753 | 1,203,434,877 | I_kwDOCUB6oc5HuvV9 | 16,753 | ValueError: Reference at 'refs/heads/master' does not exist | {
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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... | 1,649 | 1,680 | 1,653 | NONE | null | Hi,
in the RAG example.
I got the error (ValueError: Reference at 'refs/heads/master' does not exist)
in
opt/anaconda3/envs/chatbotper/lib/python3.7/site-packages/git/refs/symbolic.py", line 184, in_get_ref_info_helper
raise ValueError("Reference at %r does not exist" % ref_path)
after running:
python ... | {
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https://api.github.com/repos/huggingface/transformers/issues/16752 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16752/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16752/comments | https://api.github.com/repos/huggingface/transformers/issues/16752/events | https://github.com/huggingface/transformers/issues/16752 | 1,203,387,760 | I_kwDOCUB6oc5Huj1w | 16,752 | `translation_XX_to_YY` pipeline warnings about no max_length when both max_length and truncation are provided | {
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"Hi @erip ,\r\n\r\nIt seems the tokenizer does not define itself `tokenizer.model_max_length` which is usually used to set the max length (so `truncation=True` can have a meaning).\r\n\r\nThe problem with passing `max_length` as you do, is that this is actually passed to the `generate(..)` function, which **also** ... | 1,649 | 1,653 | 1,653 | CONTRIBUTOR | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: 4.18.0
- Platform: Linux-3.10.0-1160.59.1.el7.x86_64-x86_64-with-glibc2.17
- Python version: 3.9.12
- Huggin... | {
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https://api.github.com/repos/huggingface/transformers/issues/16751 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16751/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16751/comments | https://api.github.com/repos/huggingface/transformers/issues/16751/events | https://github.com/huggingface/transformers/pull/16751 | 1,203,374,732 | PR_kwDOCUB6oc42LjFA | 16,751 | CI: setup-dependent pip cache | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Cool, porting the changes to the other two files as well then 👍 ",
"@gante: to learn more from you: how you figured out the cause for the error you mentioned:\r\n\r\nhttps://github.com/huggingface/transformers/runs/6007067240?che... | 1,649 | 1,649 | 1,649 | MEMBER | null | # What does this PR do?
This PR makes two changes to the way we cache our pip dependencies in the `add-model-like.yml` GH actions workflow:
1. The name of the cache depends on the hash of `setup.py`;
2. We do not restore the cache from partial name matches.
(this pattern exists in one of our CI files, `github-t... | {
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https://api.github.com/repos/huggingface/transformers/issues/16750 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16750/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16750/comments | https://api.github.com/repos/huggingface/transformers/issues/16750/events | https://github.com/huggingface/transformers/issues/16750 | 1,203,360,682 | I_kwDOCUB6oc5HudOq | 16,750 | Batch size < GPU number when training with Trainer and deepspeed. | {
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"cc @sgugger ",
"cc @stas00 for DeepSpeed ;-)",
"@zhaowei-wang98, could you please try again explaining what is the problem that you're running into? Please show the actual command line / config you're running as I have a hard time understanding your Issue.\r\n\r\n> So when I use more GPUs, the batch size must ... | 1,649 | 1,653 | 1,653 | NONE | null | # 🚀 Feature request
Hi, I am fine-tuning T5-11b using Trainer with deepspeed feature. I use the deepspeed zero3 stage to split T5-11b and its gradients to different GPUs. However, when I try to use multi GPUs, I found that the argument `per_device_train_batch_size` must be an integer, which means it at least is 1. So... | {
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https://api.github.com/repos/huggingface/transformers/issues/16749 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16749/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16749/comments | https://api.github.com/repos/huggingface/transformers/issues/16749/events | https://github.com/huggingface/transformers/issues/16749 | 1,203,359,334 | I_kwDOCUB6oc5Huc5m | 16,749 | Large differences between T5 weight initialization in TF and torch | {
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"cc @gante @Rocketknight1 ",
"Thanks a lot for the issue @jorgemcgomes! I think for PyTorch and Tensorflow we actually never really made sure that the init is correct because we mostly focused on fine-tuning. But we should correct this! \r\n\r\nI think I made sure that the init is correct in Flax's T5 implementat... | 1,649 | 1,652 | 1,652 | CONTRIBUTOR | null | - `transformers` version: 4.18.0, master branch
### Who can help
@patrickvonplaten
I found some significant differences in weight init between the PT and TF implementations of T5.
The **embeddings** (model.shared):
- In PT, according to `T5PreTrainedModel._init_weights`, they are initialized with random no... | {
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https://api.github.com/repos/huggingface/transformers/issues/16748 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16748/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16748/comments | https://api.github.com/repos/huggingface/transformers/issues/16748/events | https://github.com/huggingface/transformers/pull/16748 | 1,203,306,291 | PR_kwDOCUB6oc42LUj_ | 16,748 | [SpeechEncoderDecoderModel] Fix bug in reshaping labels | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Sounds good! ",
"If I remember correctly `reshape()` == `view()` if the tensor does not need to call `contiguous()`, so good for me!",
"> If I remember correctly `reshape()` == `view()` if the tensor does not need to call `contig... | 1,649 | 1,687 | 1,649 | CONTRIBUTOR | null | Currently, the target `labels` are reshaped using the `view` method before being passed into the loss function:
https://github.com/huggingface/transformers/blob/06b4aac9ebab77a0065ec2cab40a8085ad71946f/src/transformers/models/speech_encoder_decoder/modeling_speech_encoder_decoder.py#L560
The `view` method requires th... | {
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https://api.github.com/repos/huggingface/transformers/issues/16747 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16747/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16747/comments | https://api.github.com/repos/huggingface/transformers/issues/16747/events | https://github.com/huggingface/transformers/issues/16747 | 1,203,290,627 | I_kwDOCUB6oc5HuMID | 16,747 | pointer to transformer (big) model | {
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"@anirudt Can I work on this issue?",
"Any leads on this?\r\n"
] | 1,649 | 1,681 | null | NONE | null | # 🌟 New model addition
## Model description
<!-- Important information -->
Hi, needed a pointer on how to instantiate a Transformer-big from the original Vaswani et. al. paper (Attention Is All You Need). I could only find versions of Transformer-like architectures, so would be useful if this could also be adde... | {
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https://api.github.com/repos/huggingface/transformers/issues/16746 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16746/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16746/comments | https://api.github.com/repos/huggingface/transformers/issues/16746/events | https://github.com/huggingface/transformers/issues/16746 | 1,203,228,057 | I_kwDOCUB6oc5Ht82Z | 16,746 | Tensor size mismatch in RoBERTa | {
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"I found out what it was:\r\n```\r\nToken indices sequence length is longer than the specified maximum sequence length for this model (746 > 512). Running this sequence through the model will result in indexing errors\r\n```\r\nIt would've been easier to diagnose if whatever triggered this message had also emitted ... | 1,649 | 1,693 | 1,653 | CONTRIBUTOR | null | The following error pops up while running a `TranslationPipeline` using a PyTorch `EncoderDecoderModel` (@patrickvonplaten) consisting of two `RoBERTas`. (@LysandreJik) Curiously it happens on a very specific datapoint in a large-ish dataset, but I'm having trouble digging it out. (It does well on tens of thousands of ... | {
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https://api.github.com/repos/huggingface/transformers/issues/16745 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16745/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16745/comments | https://api.github.com/repos/huggingface/transformers/issues/16745/events | https://github.com/huggingface/transformers/issues/16745 | 1,203,184,118 | I_kwDOCUB6oc5HtyH2 | 16,745 | KeyError when using AutoTokenizer for facebook/detr-resnet-* | {
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"Hi,\r\n\r\nDETR is a vision model, not a text model, hence it doesn't have a tokenizer, but a so-called feature extractor (useful for preparing images for the model). You can load it using the AutoFeatureExtractor API:\r\n\r\n```\r\nfrom transformers import AutoFeatureExtractor\r\n\r\nfeature_extractor = AutoFeatu... | 1,649 | 1,649 | 1,649 | NONE | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: 4.16.0
- Platform: Ubuntu 20.04
- Python version: 3.8.12
- PyTorch version (GPU?): 1.11.0
- Tensorflow vers... | {
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https://api.github.com/repos/huggingface/transformers/issues/16744 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16744/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16744/comments | https://api.github.com/repos/huggingface/transformers/issues/16744/events | https://github.com/huggingface/transformers/pull/16744 | 1,203,037,714 | PR_kwDOCUB6oc42KbQQ | 16,744 | Reduce Funnel PT/TF diff | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,649 | 1,649 | 1,649 | COLLABORATOR | null | # What does this PR do?
Same as #15684, but on PT test side.
As mentioned in #15684, this is not a real bug in model. Just a setting in the test configuration.
## Comment
The change in `modeling_tf_funnel.py` is to address **a real issue** regarding **weight initialization**, see
https://github.com/huggi... | {
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https://api.github.com/repos/huggingface/transformers/issues/16743 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16743/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16743/comments | https://api.github.com/repos/huggingface/transformers/issues/16743/events | https://github.com/huggingface/transformers/pull/16743 | 1,203,010,170 | PR_kwDOCUB6oc42KVvo | 16,743 | [TAPEX] Update drop_rows_to_fit | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues that do not follow the [contributing gu... | 1,649 | 1,652 | 1,652 | CONTRIBUTOR | null | # What does this PR do?
This PR makes `drop_rows_to_fit` an attribute of `TapexTokenizer`, rather than a standalone `TruncationStrategy`.
The truncation strategies that can be used are the same as those of BART (as TAPEX is a BART model), meaning `truncation=True` will truncate to the maximum length. However, one... | {
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https://api.github.com/repos/huggingface/transformers/issues/16742 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16742/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16742/comments | https://api.github.com/repos/huggingface/transformers/issues/16742/events | https://github.com/huggingface/transformers/issues/16742 | 1,202,804,225 | I_kwDOCUB6oc5HsVYB | 16,742 | Some weights of the model checkpoint at microsoft/layoutlmv2-base-uncased were not used when initializing LayoutLMv2Model | {
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"Hi,\r\n\r\nYes this is expected, as you can see the warning only prints \"num_batches_tracked\", these are statistics for batch norm layers, these aren't trainable parameters.",
"@NielsRogge I understand now, thank you for your reply🤗 "
] | 1,649 | 1,649 | 1,649 | NONE | null | ## Environment info
- `transformers` version: 4.18.0
- Platform: Linux-5.13.0-39-generic-x86_64-with-glibc2.17
- Python version: 3.8.13
- Huggingface_hub version: 0.5.1
- PyTorch version (GPU?): 1.8.2+cu111 (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/16741 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16741/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16741/comments | https://api.github.com/repos/huggingface/transformers/issues/16741/events | https://github.com/huggingface/transformers/pull/16741 | 1,202,683,580 | PR_kwDOCUB6oc42JWvx | 16,741 | [modeling_utils] better explanation of ignore keys | {
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] | 1,649 | 1,649 | 1,649 | CONTRIBUTOR | null | Integrating the improved explanation of ignore keys by @sgugger at https://github.com/huggingface/transformers/issues/16719#issuecomment-1096878395 with some tweaks from myself.
It's still unclear whether they should include the base model prefix or not, but we can sort it out when https://github.com/huggingface/tra... | {
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https://api.github.com/repos/huggingface/transformers/issues/16740 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16740/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16740/comments | https://api.github.com/repos/huggingface/transformers/issues/16740/events | https://github.com/huggingface/transformers/pull/16740 | 1,202,668,867 | PR_kwDOCUB6oc42JTvB | 16,740 | [trainer / deepspeed] fix hyperparameter_search | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,649 | 1,649 | 1,649 | CONTRIBUTOR | null | This PR:
- fixes `hyperparameter_search` deepspeed config reset fix up that got out of sync with the normal code path
- adds a test so that will not happen in the future.
- adds a new group of pip deps: `deepspeed-testing`
@sgugger
Fixes: https://github.com/huggingface/transformers/pull/11966#issuecomment-105... | {
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https://api.github.com/repos/huggingface/transformers/issues/16739 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16739/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16739/comments | https://api.github.com/repos/huggingface/transformers/issues/16739/events | https://github.com/huggingface/transformers/pull/16739 | 1,202,444,414 | PR_kwDOCUB6oc42IiHF | 16,739 | Replace assertion with exception | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_16739). 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... | 1,649 | 1,654 | 1,654 | CONTRIBUTOR | null | # What does this PR do?
Replaces assert with Exceptions as per https://github.com/huggingface/transformers/issues/12789.
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](https://github.com/h... | {
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https://api.github.com/repos/huggingface/transformers/issues/16738 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16738/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16738/comments | https://api.github.com/repos/huggingface/transformers/issues/16738/events | https://github.com/huggingface/transformers/pull/16738 | 1,202,416,116 | PR_kwDOCUB6oc42Ib2A | 16,738 | Add self training code for text classification | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"> Very nice, thanks a lot for adding this new example! Just to be sure, the empty strata file is intended? I didn't get why it's there.\r\n\r\nGood catch, @sgugger. Just removed the empty strata file. Thanks!"
] | 1,649 | 1,649 | 1,649 | CONTRIBUTOR | null | This is an implementation of the self-training algorithm (without task augmentation) for classification tasks proposed in the [EMNLP 2021](https://2021.emnlp.org/) paper: [STraTA: Self-Training with Task Augmentation for Better Few-shot Learning](https://arxiv.org/abs/2109.06270). For the original codebase, please che... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@sgugger I saw you have worked on the Conda packaging of this repo before. Can you look into it? IMHO this PR doesn't take a lot of time to review.",
"@LysandreJik friendly ping!",
"This issue has been automatically marked as sta... | 1,649 | 1,656 | 1,656 | CONTRIBUTOR | null | I saw that [the Conda builds are failing since v4.12](https://github.com/huggingface/transformers/actions/workflows/release-conda.yml). The main problem is that, for some reason, [the build tries to install `setuptools` but Conda build forbids it](https://github.com/huggingface/transformers/runs/5853294684?check_suite_... | {
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https://api.github.com/repos/huggingface/transformers/issues/16736 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16736/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16736/comments | https://api.github.com/repos/huggingface/transformers/issues/16736/events | https://github.com/huggingface/transformers/issues/16736 | 1,202,222,688 | I_kwDOCUB6oc5HqHZg | 16,736 | [Flax] Torch fp16 model weights not upcast when loaded in Flax | {
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"cc @patrickvonplaten @patil-suraj ",
"Great catch! Gosh, we should have never uploaded `bart-large` with fp16 weights - I think this happened accidentally and a long time ago :-/ Usually we want all weights to be stored as full fp32 weights. \r\n\r\nTo be honest, for now I think this is really an edge-case - I d... | 1,649 | 1,649 | 1,649 | CONTRIBUTOR | null | In some scenarios, one may want to load a Flax model directly from pre-trained PyTorch model weights. In this process, the original dtype of the PyTorch model weights is maintained when loaded into Flax. For models such as [bart-large](https://huggingface.co/facebook/bart-large), which has it's PyTorch weights stored i... | {
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https://api.github.com/repos/huggingface/transformers/issues/16735 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16735/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16735/comments | https://api.github.com/repos/huggingface/transformers/issues/16735/events | https://github.com/huggingface/transformers/issues/16735 | 1,202,211,812 | I_kwDOCUB6oc5HqEvk | 16,735 | [PegasusConfig] wrong default vocab_size | {
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"Hey @yaozhaogoogle,\r\n\r\nThanks for the issue, could you maybe link to the original configuration that shows a default vocab size of 96000?",
"from the github https://github.com/google-research/pegasus , there is a link to the checkpoints and vocabs, https://pantheon.corp.google.com/storage/browser/pegasus_ckp... | 1,649 | 1,650 | 1,650 | NONE | null | In PegasusConfig (https://github.com/huggingface/transformers/blob/v4.18.0/src/transformers/models/pegasus/configuration_pegasus.py#L108), the default vocab size should be 96000 instead of 50265.
@patrickvonplaten
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https://api.github.com/repos/huggingface/transformers/issues/16734 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16734/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16734/comments | https://api.github.com/repos/huggingface/transformers/issues/16734/events | https://github.com/huggingface/transformers/pull/16734 | 1,202,153,166 | PR_kwDOCUB6oc42HjiL | 16,734 | Partial checkpoint support for SMP | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_16734). All of your documentation changes will be reflected on that endpoint.",
"@cavdard could you please run `make style` to apply the correct coding formatting? ",
"> @cavdard could you please run `make style` to apply... | 1,649 | 1,653 | 1,653 | CONTRIBUTOR | null | # What does this PR do?
- Adds 3 new training args(`smp_save_partial` and `smp_load_partial`) to support partial checkpointing with SMP. `smp_tensor_parallel_full_model` to apply tensor parallelism to whole model.
- Uses the right ranks for partial checkpoint saving in should_save.
- Uses `local_state_dict()` wit... | {
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https://api.github.com/repos/huggingface/transformers/issues/16733 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16733/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16733/comments | https://api.github.com/repos/huggingface/transformers/issues/16733/events | https://github.com/huggingface/transformers/issues/16733 | 1,202,083,988 | I_kwDOCUB6oc5HpliU | 16,733 | [FlaxBartForCausalLM] Embed tokens not loaded in Flax decoder model from encoder-decoder weights | {
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"In the PyTorch Bart modelling script, we first define a 'shared' nn.Embedding module, which we then directly pass to the encoder and decoder modules to explicitly tie their word embeddings:\r\nhttps://github.com/huggingface/transformers/blob/14daa6102a0e8a35ef734dd21bfcf31d9b0207d1/src/transformers/models/bart/mod... | 1,649 | 1,655 | 1,655 | CONTRIBUTOR | null | The embeddings module `embed_tokens` is not loaded from pre-trained Flax model weights when a FlaxBartForCausalLM model is instantiated in isolation. As a consequence, these embedding weights are randomly initialised. The following code snippet demonstrates this fact by comparing the FlaxBartForCausalLM model to its Py... | {
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https://api.github.com/repos/huggingface/transformers/issues/16732 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16732/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16732/comments | https://api.github.com/repos/huggingface/transformers/issues/16732/events | https://github.com/huggingface/transformers/pull/16732 | 1,202,030,086 | PR_kwDOCUB6oc42HIx8 | 16,732 | Remove duplicate header in doc | {
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<s>`doc-builder` doesn't accept duplicated headers anymore, this PR should fix the doc build. Will merge as soon as the Build Doc PR job is green to fix the main branch :-)</s>
The change has been reverted on the `doc-builder` side, but this was a mistake worth fixing anyway. | {
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https://api.github.com/repos/huggingface/transformers/issues/16731 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16731/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16731/comments | https://api.github.com/repos/huggingface/transformers/issues/16731/events | https://github.com/huggingface/transformers/pull/16731 | 1,202,027,732 | PR_kwDOCUB6oc42HIRp | 16,731 | Improve test_pt_tf_model_equivalence on PT side | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Merged (after a rebase)"
] | 1,649 | 1,650 | 1,650 | COLLABORATOR | null | # What does this PR do?
Same as in #16557, but on PT test side.
Now we only have 2 `def test_pt_tf_model_equivalence` in the common test files 💯 | {
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https://api.github.com/repos/huggingface/transformers/issues/16730 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16730/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16730/comments | https://api.github.com/repos/huggingface/transformers/issues/16730/events | https://github.com/huggingface/transformers/pull/16730 | 1,201,950,098 | PR_kwDOCUB6oc42G36I | 16,730 | Change the chunk_iter function to handle | {
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"Very nice - thanks for fixing it!",
"@sgugger - I think the build doc failing test is unrelated here no?",
"Yes, will look into that."
] | 1,649 | 1,649 | 1,649 | CONTRIBUTOR | null | the subtle cases where the last chunk gets ignored since all the
data is in the `left_strided` data.
We need to remove the right striding on the previous item.
# What does this PR do?
Change the chunk_iter function to handle
the subtle cases where the last chunk gets ignored since all the
data is in the `left_stri... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@sgugger The last diff belongs to @patrickvonplaten, but because the function was moved (from [here](https://github.com/huggingface/transformers/blame/a3dbbc346763c8eaa49577a448e5b5a2da1428ed/src/transformers/generation_tf_utils.py#L... | 1,649 | 1,649 | 1,649 | MEMBER | null | # What does this PR do?
Removes our TF `set_tensor_by_indices_to_value` function and replaces all its uses by `tf.where`. They are the same, but with a different input order -- removing it means one fewer function to test while making the code easier for TF users. | {
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https://api.github.com/repos/huggingface/transformers/issues/16728 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16728/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16728/comments | https://api.github.com/repos/huggingface/transformers/issues/16728/events | https://github.com/huggingface/transformers/pull/16728 | 1,201,818,328 | PR_kwDOCUB6oc42Gb9E | 16,728 | [FlaxSpeechEncoderDecoder] Fix input shape bug in weights init | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,649 | 1,649 | 1,649 | CONTRIBUTOR | null | The tuple `input_shape` is required in the `init` method of the FlaxSpeechEncoderDecoderModel in order to initialise the model weights - one must specify these input shapes to enable JAX to trace through the model dimensions.
This tuple consists of two entries: the encoder and decoder input lengths. Speech encoders al... | {
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https://api.github.com/repos/huggingface/transformers/issues/16727 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16727/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16727/comments | https://api.github.com/repos/huggingface/transformers/issues/16727/events | https://github.com/huggingface/transformers/pull/16727 | 1,201,757,881 | PR_kwDOCUB6oc42GO18 | 16,727 | Add image classification script, no trainer | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@sgugger not sure why, but the test for the script fails:\r\n```\r\nWARNING datasets.builder:builder.py:388 Using custom data configuration huggingface--image-classification-test-sample-b7448dc7ae37f2cf\r\nINFO run_image_classif... | 1,649 | 1,650 | 1,650 | CONTRIBUTOR | null | # What does this PR do?
This PR adds an example script for image classification that leverages Accelerate instead of the HuggingFace Trainer.
To do:
- [x] verify local `train_dir` and `validation_dir`
- [x] update README
- [x] add log fixes (Tensorboard)
Both can be updated after #16585 is merged. | {
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https://api.github.com/repos/huggingface/transformers/issues/16726 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16726/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16726/comments | https://api.github.com/repos/huggingface/transformers/issues/16726/events | https://github.com/huggingface/transformers/pull/16726 | 1,201,730,972 | PR_kwDOCUB6oc42GI_w | 16,726 | [ASR pipeline] fix chunking | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Superseded by https://github.com/huggingface/transformers/pull/16730"
] | 1,649 | 1,649 | 1,649 | MEMBER | 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/16725 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16725/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16725/comments | https://api.github.com/repos/huggingface/transformers/issues/16725/events | https://github.com/huggingface/transformers/pull/16725 | 1,201,710,030 | PR_kwDOCUB6oc42GEcw | 16,725 | [FlaxWav2Vec2Model] Fix bug in attention mask | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,649 | 1,687 | 1,649 | CONTRIBUTOR | null | Currently, the FlaxWav2Vec2 reduced attention mask is computed by calling the function `_get_feat_extract_output_lengths`, without explicit specification of whether an (optional) adapter module is used:
https://github.com/huggingface/transformers/blob/924484ee4a6ebc79426d27eef31a1ee7d13cbb9a/src/transformers/models/wa... | {
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https://api.github.com/repos/huggingface/transformers/issues/16724 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16724/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16724/comments | https://api.github.com/repos/huggingface/transformers/issues/16724/events | https://github.com/huggingface/transformers/pull/16724 | 1,201,708,958 | PR_kwDOCUB6oc42GENh | 16,724 | Add type hints GPT-J pytorch | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,649 | 1,649 | 1,649 | NONE | null | # What does this PR do?
Added type hints for GPT-J pytorch following #16059
@Rocketknight1 | {
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https://api.github.com/repos/huggingface/transformers/issues/16723 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16723/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16723/comments | https://api.github.com/repos/huggingface/transformers/issues/16723/events | https://github.com/huggingface/transformers/pull/16723 | 1,201,687,597 | PR_kwDOCUB6oc42F_lV | 16,723 | [Quicktour Audio] Improve && remove ffmpeg dependency | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,649 | 1,650 | 1,650 | MEMBER | null | # What does this PR do?
<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
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https://api.github.com/repos/huggingface/transformers/issues/16722 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16722/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16722/comments | https://api.github.com/repos/huggingface/transformers/issues/16722/events | https://github.com/huggingface/transformers/pull/16722 | 1,201,305,981 | PR_kwDOCUB6oc42ErPF | 16,722 | [Bart] correct doc test | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,649 | 1,649 | 1,649 | MEMBER | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/16721 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16721/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16721/comments | https://api.github.com/repos/huggingface/transformers/issues/16721/events | https://github.com/huggingface/transformers/issues/16721 | 1,201,028,598 | I_kwDOCUB6oc5Hlj32 | 16,721 | ResumableUploadAbortException: 409 The object has already been created in an earlier attempt and was overwritten, possibly due to a race condition. | {
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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... | 1,649 | 1,653 | 1,653 | NONE | null | I am fine tuning masked language model from XLM Roberta large on google machine specs.
When I copy the model using `gsutil and subprocess` from container to GCP bucket it gives me error.
### Versions
Versions torch==1.11.0+cu113
torchvision==0.12.0+cu113
torchaudio==0.11.0+cu113
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https://api.github.com/repos/huggingface/transformers/issues/16720 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16720/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16720/comments | https://api.github.com/repos/huggingface/transformers/issues/16720/events | https://github.com/huggingface/transformers/pull/16720 | 1,201,020,152 | PR_kwDOCUB6oc42DqFt | 16,720 | Replace assertion with exception | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@sgugger @LysandreJik thanks for the review! I have incorporated all the requested changes. ",
"@sgugger unsure why the PR Documentation check is failing",
"Failure is unrelated to this PR and is fixed independently.\r\nThanks a ... | 1,649 | 1,649 | 1,649 | CONTRIBUTOR | null | # What does this PR do?
Replaces assert with Exceptions as per https://github.com/huggingface/transformers/issues/12789.
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](https://github.com/h... | {
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https://api.github.com/repos/huggingface/transformers/issues/16719 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16719/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16719/comments | https://api.github.com/repos/huggingface/transformers/issues/16719/events | https://github.com/huggingface/transformers/issues/16719 | 1,201,016,641 | I_kwDOCUB6oc5Hlg9B | 16,719 | [modeling] keys to ignore revisited | {
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"I'll address point 4 for now. It looks like you are just missing an `ignore_mismatched_sizes=True`. `_keys_to_ignore_on_save` does not impact the loading, as its name indicates, and there is no `_keys_to_ignore_on_load` as if a weight should be ignored on load, it shouldn't be in the checkpoint in the first place.... | 1,649 | 1,658 | 1,658 | CONTRIBUTOR | null | If possible let's please revisit:
1. `_keys_to_ignore_on_save `
2. `_keys_to_ignore_on_load_unexpected`
3. `_keys_to_ignore_on_load_missing`
I'm trying to debug a key that refuses to be ignored on load and I'm not sure if I'm not setting it correctly in all those `keys_to_ignore_*` patterns.
----------... | {
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https://api.github.com/repos/huggingface/transformers/issues/16718 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16718/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16718/comments | https://api.github.com/repos/huggingface/transformers/issues/16718/events | https://github.com/huggingface/transformers/pull/16718 | 1,200,977,656 | PR_kwDOCUB6oc42Dgat | 16,718 | [WIP]-Add Fast Pitch 1.1 | {
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"Thanks for the PR @ArEnSc!\r\n\r\nLet us know if you need assistance at any point!",
"> Thanks for the PR @ArEnSc!\r\n> \r\n> Let us know if you need assistance at any point!\r\n\r\nWill do! have been lagging on this due to family and my day job =)",
"update: going to continue to work on this soon",
"This is... | 1,649 | 1,659 | 1,659 | CONTRIBUTOR | null | # What does this PR do?
Adds FastPitch 1.1# (issue)[https://github.com/huggingface/transformers/issues/16349]
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [ ] Did you read the [contributor guideline](https://github.com/huggingface/... | {
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https://api.github.com/repos/huggingface/transformers/issues/16717 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16717/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16717/comments | https://api.github.com/repos/huggingface/transformers/issues/16717/events | https://github.com/huggingface/transformers/pull/16717 | 1,200,735,956 | PR_kwDOCUB6oc42Co0E | 16,717 | [deepspeed / m2m_100] make deepspeed zero-3 work with layerdrop | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,649 | 1,649 | 1,649 | CONTRIBUTOR | null | Same as I had to fix in `wav2vec2` it looks that this fix should eventually go to all models that use `LayerDrop`. At least at the moment Deepspeed is not capable of randomly skipping layers, so this PR uses the same now well tested workaround I used in `wav2vec2`, where all layers always run when deepspeed zero-3 is d... | {
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https://api.github.com/repos/huggingface/transformers/issues/16716 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16716/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16716/comments | https://api.github.com/repos/huggingface/transformers/issues/16716/events | https://github.com/huggingface/transformers/issues/16716 | 1,200,723,750 | I_kwDOCUB6oc5HkZcm | 16,716 | Predicting incorrect loss when eval data size is not a multiple of batch size | {
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"No, the evaluation loss is properly computed thanks to this line actually. Repeating it the number of times then truncating to the length of the dataset [here](https://github.com/huggingface/transformers/blob/924484ee4a6ebc79426d27eef31a1ee7d13cbb9a/src/transformers/trainer.py#L2551) makes the final evaluation los... | 1,649 | 1,653 | 1,653 | NONE | null | ## Environment info
- `transformers` version: 4.18.0.dev0
- Platform: Linux-5.4.0-96-generic-x86_64-with-debian-buster-sid
- Python version: 3.7.13
- Huggingface_hub version: 0.5.1
- PyTorch version (GPU?): 1.12.0.dev20220411+cu102 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_16715). 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... | 1,649 | 1,655 | 1,653 | CONTRIBUTOR | null | # What does this PR do?
The __call__ function of the DETR, expects an object with a `shape` when `pad_and_return_pixel_mask=True`
If try to use the extract feature with `do_resize=False` and `do_normalize=False` will crash on https://github.com/huggingface/transformers/blob/69233cf03be5fbce0492f3997e139c4d05499e27/... | {
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https://api.github.com/repos/huggingface/transformers/issues/16714 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16714/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16714/comments | https://api.github.com/repos/huggingface/transformers/issues/16714/events | https://github.com/huggingface/transformers/issues/16714 | 1,200,650,451 | I_kwDOCUB6oc5HkHjT | 16,714 | ValueError if answer in truncated table rows and columns in Tapas tokenization | {
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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... | 1,649 | 1,653 | 1,653 | CONTRIBUTOR | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: 4.17.0
- Platform: Ubuntu 20 LTS
- Python version: 3.8.10
- PyTorch version (GPU?): 1.9.0
- Tensorflow ver... | {
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https://api.github.com/repos/huggingface/transformers/issues/16713 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16713/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16713/comments | https://api.github.com/repos/huggingface/transformers/issues/16713/events | https://github.com/huggingface/transformers/pull/16713 | 1,200,586,802 | PR_kwDOCUB6oc42CIAC | 16,713 | TF generate refactor - XLA sample | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@patrickvonplaten the `stateless` TF functions accept a `seed` argument that is a tuple of two integers 😅 Not very intuitive, I agree. They correspond to the `key` and `counter` used in the internal RNG algorithms ([source](https://... | 1,649 | 1,650 | 1,650 | MEMBER | null | # What does this PR do?
This PR brings XLA to `sample`, in `generate`. Four important details before reviewing:
1. The diff has the changes of https://github.com/huggingface/transformers/pull/16704, review that PR first plz :) It fixes a test from `beam_search`. I will rebase as soon as the other PR gets merged (th... | {
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https://api.github.com/repos/huggingface/transformers/issues/16712 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16712/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16712/comments | https://api.github.com/repos/huggingface/transformers/issues/16712/events | https://github.com/huggingface/transformers/pull/16712 | 1,200,543,780 | PR_kwDOCUB6oc42B-u4 | 16,712 | Run the scheduled tests | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_16712). All of your documentation changes will be reflected on that endpoint."
] | 1,649 | 1,664 | null | MEMBER | null | :warning: Do not merge this PR!
PR 2/2: in order to finish running suite, rebase this PR on [`test-tokenizers-main`](https://github.com/huggingface/transformers/tree/test-tokenizers-main), branch of PR https://github.com/huggingface/transformers/pull/16708.
---
This PR builds on top of https://github.com/hugg... | {
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https://api.github.com/repos/huggingface/transformers/issues/16711 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16711/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16711/comments | https://api.github.com/repos/huggingface/transformers/issues/16711/events | https://github.com/huggingface/transformers/issues/16711 | 1,200,515,615 | I_kwDOCUB6oc5Hjmof | 16,711 | AutoModelForMaskedLM produces NaN if no token is masked | {
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"Hey @nreimers, thanks for the issue! I think the propositions are sensible, what do you think @sgugger ?",
"I think this should be solved in the `MaskedLM` directly to return a loss of 0.0 and no NaNs.",
"This issue has been automatically marked as stale because it has not had recent activity. If you think thi... | 1,649 | 1,681 | 1,653 | CONTRIBUTOR | null | This is a more for discussion if a bugfix is wanted (and if yes, how it should look like). I already fixed it locally for my training script.
**Background**
I currently run MLM pre-training for large models where each batch can only consist of a single example. In some cases, the text can be rather short, for exa... | {
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https://api.github.com/repos/huggingface/transformers/issues/16710 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16710/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16710/comments | https://api.github.com/repos/huggingface/transformers/issues/16710/events | https://github.com/huggingface/transformers/issues/16710 | 1,200,372,910 | I_kwDOCUB6oc5HjDyu | 16,710 | AutoConfig.from_pretrained can fail with Tokenizers | {
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"The `AutoConfig` utility is a utility for models only, it's the tool one can use to instantiate a model. \r\n\r\nWhat would you like to do by instantiating a configuration for a tokenizer? The `AutoTokenizer` class should handle everything on its own.",
"Ahh I was under the impression that you needed to provide ... | 1,649 | 1,649 | 1,649 | CONTRIBUTOR | null | `tokenizer_config = AutoConfig.from_pretrained("/path/to/tokenizer_config.json")` resolves the Auto Class by checking the `model_type` key, which is not always included for tokenizers, see e.g. https://huggingface.co/seyonec/ChemBERTa-zinc-base-v1/blob/main/tokenizer_config.json.
Perhaps `model_type` should be expor... | {
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https://api.github.com/repos/huggingface/transformers/issues/16709 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16709/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16709/comments | https://api.github.com/repos/huggingface/transformers/issues/16709/events | https://github.com/huggingface/transformers/pull/16709 | 1,200,332,235 | PR_kwDOCUB6oc42BRzS | 16,709 | Add defensive check for config num_labels and id2label | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Might I suggest to add an example in the error message? Especially for regression where num_labels=1, it might not be obvious to users what the id2label map has to look like. Suggestion:\r\n\r\n```\r\nf\"You passed along `num_labels=... | 1,649 | 1,649 | 1,649 | COLLABORATOR | null | # What does this PR do?
As seen in #16600, there can be some unclear errors when the user tries to pass together an inconsistent `num_labels` and `id2label`. This PR addresses that with a clear error message. | {
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] | 1,649 | 1,664 | null | MEMBER | null | :warning: Do not merge this PR!
PR 1/2: in order to run the full test suite (slow tests included), with the `main` branch of the `tokenizers` library, rebase this PR on `main`. Once the workflows have finished, head to PR 2/2 here: https://github.com/huggingface/transformers/pull/16712
---
This PR is one of tw... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,649 | 1,649 | 1,649 | CONTRIBUTOR | null | # What does this PR do?
Creates a new argument for `TrainingArguments` called `hub_private_repo`. If True, the hub repo created by `Trainer` will be set to private. Defaults to False (public).
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the c... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,649 | 1,649 | 1,649 | CONTRIBUTOR | null | This PR refactors 2 large identical code copies introduced by the recent sharded checkpoint PR into a helper function which is then called from 2 places. There is no change in functionality.
It's an intermediary step for this PR: https://github.com/huggingface/transformers/pull/16657 which revamps `low_cpu_mem_usage... | {
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https://api.github.com/repos/huggingface/transformers/issues/16705 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16705/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16705/comments | https://api.github.com/repos/huggingface/transformers/issues/16705/events | https://github.com/huggingface/transformers/issues/16705 | 1,200,202,665 | I_kwDOCUB6oc5HiaOp | 16,705 | Cuda Memory leak (OOM) when using HF Trainer DDP mode | {
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"@Smu-Tan \r\n\r\nHow were you able to get around this?"
] | 1,649 | 1,704 | 1,649 | NONE | null | ## Environment info
- `transformers` version: 4.12.0
- Platform: Linux-5.4.0-1073-azure-x86_64-with-glibc2.29
- Python version: 3.8.10
- PyTorch version (GPU?): 1.10.0+cu102 (True)
- Tensorflow version (GPU?): 2.6.0 (True)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not installed
- JaxLib... | {
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https://api.github.com/repos/huggingface/transformers/issues/16704 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16704/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16704/comments | https://api.github.com/repos/huggingface/transformers/issues/16704/events | https://github.com/huggingface/transformers/pull/16704 | 1,200,186,753 | PR_kwDOCUB6oc42A1VW | 16,704 | TF beam search: handle case without past | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"(merging as Patrick has approved #16713, which also contains these changes)"
] | 1,649 | 1,649 | 1,649 | MEMBER | null | # What does this PR do?
Fixes `tests/vision_encoder_decoder/test_modeling_tf_vision_encoder_decoder.py::TFViT2GPT2ModelIntegrationTest::test_inference_coco_en`, whose root cause was in `beam_search` (it was not handling correctly cases without cache). This one slipped through the cracks, I probably forgot to run a f... | {
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https://api.github.com/repos/huggingface/transformers/issues/16703 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16703/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16703/comments | https://api.github.com/repos/huggingface/transformers/issues/16703/events | https://github.com/huggingface/transformers/pull/16703 | 1,200,153,762 | PR_kwDOCUB6oc42Auuz | 16,703 | Don't push checkpoints to hub in `no_trainer` scripts | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,649 | 1,649 | 1,649 | CONTRIBUTOR | null | # Don't push checkpoints to the Hub in `no_trainer` scripts
## What does this add?
- Creates a `gitignore` file in the base folder if `push_to_hub` was passed and one does not exist
- During each call to `save_state`, if `push_to_hub` was passed then then directory is added to the .gitignore
## Why is it needed?
Us... | {
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https://api.github.com/repos/huggingface/transformers/issues/16702 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16702/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16702/comments | https://api.github.com/repos/huggingface/transformers/issues/16702/events | https://github.com/huggingface/transformers/issues/16702 | 1,200,028,480 | I_kwDOCUB6oc5HhvtA | 16,702 | group_texts function in language-modeling seems get wrong | {
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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... | 1,649 | 1,677 | 1,652 | NONE | null | During preprocssing of language-modeling, function `group_texts` as https://github.com/huggingface/transformers/blob/main/examples/pytorch/language-modeling/run_mlm.py#L447-L460
seeems ingore the special tokens like [CLS] and [SEP], and just concatenated them together. An obvious bug would appear that one example ma... | {
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https://api.github.com/repos/huggingface/transformers/issues/16701 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16701/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16701/comments | https://api.github.com/repos/huggingface/transformers/issues/16701/events | https://github.com/huggingface/transformers/issues/16701 | 1,200,018,869 | I_kwDOCUB6oc5HhtW1 | 16,701 | Optional keys in TrainingArguments aren't always labelled as such | {
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"cc @sgugger "
] | 1,649 | 1,652 | 1,652 | CONTRIBUTOR | null | Inside `TrainingArguments` there are a few keys such as [tf32](https://github.com/huggingface/transformers/blob/098b0026447271a340d2d7e6bff428c82cb6d744/src/transformers/training_args.py#L594) which are optional and have a default of `None`, but aren't explicitly labelled as such. This can cause problems downstream; fo... | {
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https://api.github.com/repos/huggingface/transformers/issues/16700 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16700/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16700/comments | https://api.github.com/repos/huggingface/transformers/issues/16700/events | https://github.com/huggingface/transformers/pull/16700 | 1,199,906,044 | PR_kwDOCUB6oc41_52B | 16,700 | update decoder_vocab_size when resizing embeds | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,649 | 1,649 | 1,649 | MEMBER | null | # What does this PR do?
- Update the `config.decoder_vocab_size` when resizing embeds if the enc, dec embeds are shared.
- Use `config.decoder_vocab_size` to reshape the `lm_logits`
Fixes #16670 | {
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https://api.github.com/repos/huggingface/transformers/issues/16699 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16699/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16699/comments | https://api.github.com/repos/huggingface/transformers/issues/16699/events | https://github.com/huggingface/transformers/pull/16699 | 1,199,864,443 | PR_kwDOCUB6oc41_w6C | 16,699 | Fix drop_path_rates argument passed to ConvNextStage | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_16699). 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... | 1,649 | 1,654 | 1,654 | NONE | null | # What does this PR do?
- Pass a sub-list of `drop_path_rates` to ConvNextStage instead of a single element.
- Fix the following issue:
Argument `drop_path_rates (List[float])` passed to `ConvNextStage` is a single float
when `drop_path_rate` is specified by the config.
Reproducer:
```
from transformers ... | {
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https://api.github.com/repos/huggingface/transformers/issues/16698 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16698/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16698/comments | https://api.github.com/repos/huggingface/transformers/issues/16698/events | https://github.com/huggingface/transformers/pull/16698 | 1,199,805,133 | PR_kwDOCUB6oc41_kCO | 16,698 | Fix TF_MASKED_LM_SAMPLE | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,649 | 1,649 | 1,649 | COLLABORATOR | null | # What does this PR do?
Fix `TF_MASKED_LM_SAMPLE`: there is currently a dimension issue regarding `mask_token_index` and `predicted_token_id`, which gives different results between PT/TF masked LM code samples
PT: `paris`
TF: `p a r i s`
See below for details.
(This is related to #16523)
##
### PT_MA... | {
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https://api.github.com/repos/huggingface/transformers/issues/16697 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16697/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16697/comments | https://api.github.com/repos/huggingface/transformers/issues/16697/events | https://github.com/huggingface/transformers/issues/16697 | 1,199,655,313 | I_kwDOCUB6oc5HgUmR | 16,697 | ViLT vs VIT Classifier heads question | {
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"Hi, thanks for your interest in ViLT. \r\n\r\nThat was the decision of the authors. Maybe you can ask them 😉 ",
"Ok :-)"
] | 1,649 | 1,650 | 1,650 | NONE | null | Is there any specific reason for the classifier head on the ViLT model for tasks say ```ViltForImagesAndTextClassification``` or ```ViltForQuestionAnswering ``` has a ```LayerNorm and GELU``` and not just a Linear Input and output Layers (Like below) whereas classifier head on the VIT for ```ViTForImageClassification... | {
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https://api.github.com/repos/huggingface/transformers/issues/16696 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16696/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16696/comments | https://api.github.com/repos/huggingface/transformers/issues/16696/events | https://github.com/huggingface/transformers/pull/16696 | 1,199,653,455 | PR_kwDOCUB6oc41_DKk | 16,696 | Handle image_embeds in ViltModel | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"> Thanks for improving this!\r\n> \r\n> Out of interest: were you experimenting with ViLT?\r\n\r\nNot for this PR. I tried to fix a CI (vit-mae), which was about `test_torchscript`.\r\nIt turns out to be related to model main input -... | 1,649 | 1,649 | 1,649 | COLLABORATOR | null | # What does this PR do?
Handle `image_embeds` in `ViltModel` / `ViltForImagesAndTextClassification`.
(looks like `Vilt` is the first model introducing `image_embeds` argument.)
## More Info
The `image_embeds` in `ViltForImagesAndTextClassification` should have `num_images` dimension as `pixel_values` has, a... | {
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https://api.github.com/repos/huggingface/transformers/issues/16695 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16695/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16695/comments | https://api.github.com/repos/huggingface/transformers/issues/16695/events | https://github.com/huggingface/transformers/issues/16695 | 1,199,621,980 | I_kwDOCUB6oc5HgMdc | 16,695 | Enable ONNX support for multiple-choice classification heads | {
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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... | 1,649 | 1,652 | 1,652 | MEMBER | null | # 🚀 Feature request
<!-- A clear and concise description of the feature proposal.
Please provide a link to the paper and code in case they exist. -->
Currently, the `transformers.onnx` package doesn't support the export of models with a multiple-choice classification head, i.e. all `ModelForMultiplChoice` ... | {
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"self.token_type_embeddings(entity_loc_ids)\r\n-> self.entity_type_embeddings(entity_loc_ids)\r\n\r\nthere was typo"
] | 1,649 | 1,649 | 1,649 | NONE | null | I am going to add a BERT embedding layer.
```python
class CustomBertEmbeddings(nn.Module):
def __init__(self, config):
super().__init__()
self.word_embeddings = nn.Embedding(config.vocab_size, config.hidden_size, padding_idx=config.pad_token_id)
self.position_embeddings = nn.Embeddin... | {
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https://api.github.com/repos/huggingface/transformers/issues/16693 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16693/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16693/comments | https://api.github.com/repos/huggingface/transformers/issues/16693/events | https://github.com/huggingface/transformers/pull/16693 | 1,199,543,698 | PR_kwDOCUB6oc41-ylW | 16,693 | Rename the method test_torchscript | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,649 | 1,649 | 1,649 | COLLABORATOR | null | # What does this PR do?
`class ModelTesterMixin` has attribute `test_torchscript` as well as method named `def test_torchscript`.
In a few model specific test files, we have `test_torchscript = True` defined, for example,
`T5ModelTest`:
https://github.com/huggingface/transformers/blob/7c5d79912a21880ce13d778... | {
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https://api.github.com/repos/huggingface/transformers/issues/16692 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16692/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16692/comments | https://api.github.com/repos/huggingface/transformers/issues/16692/events | https://github.com/huggingface/transformers/issues/16692 | 1,199,529,016 | I_kwDOCUB6oc5Hf1w4 | 16,692 | ViLT Fine-tuning Bug: ValueError: operands could not be broadcast together with shapes | {
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"Hi,\r\n\r\nThanks for your interest in ViLT! Could you try adding `.convert(\"RGB\")` when reading an image in the getitem method of the PyTorch dataset?",
"> Hi,\r\n> \r\n> Thanks for your interest in ViLT! Could you try adding `.convert(\"RGB\")` when reading an image in the getitem method of the PyTorch datas... | 1,649 | 1,649 | 1,649 | NONE | null | ## Environment info
- `transformers` version: 4.19.0.dev0
- Platform: Linux-5.13.0-39-generic-x86_64-with-glibc2.31
- Python version: 3.9.12
- Huggingface_hub version: 0.5.1
- PyTorch version (GPU?): 1.11.0 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): GPU
- Jax versi... | {
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https://api.github.com/repos/huggingface/transformers/issues/16691 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16691/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16691/comments | https://api.github.com/repos/huggingface/transformers/issues/16691/events | https://github.com/huggingface/transformers/pull/16691 | 1,199,516,161 | PR_kwDOCUB6oc41-szf | 16,691 | Reduce the memory leak caused by `torch.jit.trace` | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,649 | 1,649 | 1,649 | COLLABORATOR | null | # What does this PR do?
Reduce the memory leak caused by `torch.jit.trace`.
Without this fix, each call to `_create_and_check_torchscript` increases RAM usage by ~20MB.
(Even with this call, there are still memory leak by ~0.04MB)
## Remark
Since our torchscript tests are slow tests, they are run only in s... | {
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https://api.github.com/repos/huggingface/transformers/issues/16690 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16690/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16690/comments | https://api.github.com/repos/huggingface/transformers/issues/16690/events | https://github.com/huggingface/transformers/issues/16690 | 1,199,441,600 | I_kwDOCUB6oc5HfgbA | 16,690 | A question about the position of language indicator tokens of mBART | {
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"I noticed there is [a relevant issue](https://github.com/huggingface/transformers/issues/16583), @patil-suraj has mentioned\r\n> In BART `eos` (`</s>`) token is used as the `decoder_start_token_id`\r\n\r\nBut why do we need `</s>` to be the `decoder_start_token_id`? In my understanding of the original paper, the `... | 1,649 | 1,650 | 1,650 | NONE | null | ## Environment info
- `transformers` version: 4.17.0
- Platform: Linux-3.10.0-1160.49.1.el7.x86_64-x86_64-with-glibc2.10
- Python version: 3.8.5
- PyTorch version (GPU?): 1.11.0+cu102 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not i... | {
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https://api.github.com/repos/huggingface/transformers/issues/16689 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16689/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16689/comments | https://api.github.com/repos/huggingface/transformers/issues/16689/events | https://github.com/huggingface/transformers/issues/16689 | 1,199,218,575 | I_kwDOCUB6oc5Hep-P | 16,689 | `"histogram_cpu" not implemented for 'BFloat16'` when using deepspeed and reporting to wandb | {
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"Hey @jncasey, thanks for the report.\r\n\r\n> since everything is working without deepspeed, maybe there's something different about how the deepspeed integration is reporting to wandb?\r\n\r\nCould you check that the script still breaks when you set `\"bf16\"` to `\"enabled\": false` in the DeepSpeed config? Also... | 1,649 | 1,689 | 1,649 | CONTRIBUTOR | null | ## Environment info
- `transformers` version: 4.18.0
- Platform: Linux-5.13.0-20-generic-x86_64-with-glibc2.10
- Python version: 3.8.5
- Huggingface_hub version: 0.5.1
- 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/16688 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16688/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16688/comments | https://api.github.com/repos/huggingface/transformers/issues/16688/events | https://github.com/huggingface/transformers/issues/16688 | 1,199,169,001 | I_kwDOCUB6oc5Hed3p | 16,688 | Cannot train M2M100 using run_translation.py and DeepSpeed ZeRO stage 3 | {
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"Thank you, @evros-chris \r\n\r\nI can reproduce this and I think this might be related to the peculiarity of this model that creates a new Parameter in `forward`, which currently Deepspeed isn't equipped to deal with. It somehow needs to be repartition its flattened tensors with the new Parameter. I have reported ... | 1,649 | 1,649 | 1,649 | NONE | null | ## Environment info
- `transformers` version: 4.18.0
- Platform: Linux
- Python version: 3.8.12
- PyTorch version (GPU?): 1.10
- Tensorflow version (GPU?): -
- Using GPU in script?: Yes
- Using distributed or parallel set-up in script?: Deepspeed ZeRO stage 3
Library Versions:
- deepspeed 0.6.1
- transforme... | {
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https://api.github.com/repos/huggingface/transformers/issues/16687 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16687/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16687/comments | https://api.github.com/repos/huggingface/transformers/issues/16687/events | https://github.com/huggingface/transformers/issues/16687 | 1,198,821,794 | I_kwDOCUB6oc5HdJGi | 16,687 | Can't load pretrained TrOCR model | {
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"I have exactly the same problem. If anyone finds a solution, it would be appreciated. If I manage to solve it, I will post it here ASAP.\r\n\r\nEDIT: \r\nI have not been able to follow the code trace exactly but I believe the error is as follows. When the model is created from the `hub.py` file, the model class is... | 1,649 | 1,653 | 1,653 | MEMBER | null | @NielsRogge I get this error when I try to load a local TrOCR checkpoint.
```python
>>> processor = TrOCRProcessor.from_pretrained("./checkpoint-2")
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/usr/users/gpupro/gpu_tazi/.local/lib/python3.8/site-packages/transformers/processing... | {
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https://api.github.com/repos/huggingface/transformers/issues/16686 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16686/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16686/comments | https://api.github.com/repos/huggingface/transformers/issues/16686/events | https://github.com/huggingface/transformers/pull/16686 | 1,198,819,669 | PR_kwDOCUB6oc418mzY | 16,686 | fixed crash when deleting older checkpoint and files with name f"{checkpoint_prefix}-*" exist | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@sgugger"
] | 1,649 | 1,649 | 1,649 | CONTRIBUTOR | null | What does this PR do?
I create an archive of older checkpoints during training the checkpoint has a name with `f"{checkpoint_prefix}-*.zip/.tar `
previously `glob(f"{checkpoint_prefix}-*")` takes all files/folders starting with the name checkpoint, and later `shutil.rmtree(checkpoint)` takes a folder name; sinc... | {
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https://api.github.com/repos/huggingface/transformers/issues/16685 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16685/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16685/comments | https://api.github.com/repos/huggingface/transformers/issues/16685/events | https://github.com/huggingface/transformers/pull/16685 | 1,198,785,962 | PR_kwDOCUB6oc418h5W | 16,685 | Translate index.mdx (to ES) and add Spanish models to quicktour.mdx examples | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@sgugger, I ran `make style` and made some manual debug but cannot get `check_code_quality` to pass. Any idea why could it be? \r\n\r\nI think the error is in[ these lines](https://github.com/huggingface/transformers/pull/16685/files... | 1,649 | 1,652 | 1,652 | CONTRIBUTOR | null | # What does this PR do?
Related to issue #15947
1. Translate `index.mdx` to Spanish
2. Replace English models and a dataset in `quicktour.mdx` with Spanish versions.
## Relevant
- Translation of `index.mdx` included the list of compatible models (not the papers´ and models´ names). Since this should not be upda... | {
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https://api.github.com/repos/huggingface/transformers/issues/16684 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16684/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16684/comments | https://api.github.com/repos/huggingface/transformers/issues/16684/events | https://github.com/huggingface/transformers/issues/16684 | 1,198,699,539 | I_kwDOCUB6oc5HcrQT | 16,684 | `FlaxBartForConditionalGeneration` has a `.encode` method but `BartForConditionalGeneration` does not | {
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"Hi! The `encode` method does not exist in PT model because it's possible to access the encoder using `model.get_encoder` and then call it to run the encoder. Flax does not allow accessing modules like this so we need to expose explicit methods like `encode`. This is not required for PT.",
"Thanks for the explana... | 1,649 | 1,649 | 1,649 | CONTRIBUTOR | null | ## Environment info
- `transformers` version: 4.18.0
- Platform: Linux-5.11.0-1018-gcp-x86_64-with-glibc2.31
- Python version: 3.10.4
- Huggingface_hub version: 0.5.1
- PyTorch version (GPU?): 1.11.0+cu102 (False)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): 0.4.1 (tpu)
- J... | {
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https://api.github.com/repos/huggingface/transformers/issues/16683 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16683/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16683/comments | https://api.github.com/repos/huggingface/transformers/issues/16683/events | https://github.com/huggingface/transformers/issues/16683 | 1,198,600,311 | I_kwDOCUB6oc5HcTB3 | 16,683 | Option to change Ray's gridsearch scope | {
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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... | 1,649 | 1,655 | 1,655 | COLLABORATOR | null | # 🚀 Feature request
It would be great if we can get more control over how Ray is selecting the best trial in a hyperparameter search. Currently, the default value for [`get_best_trial`](https://docs.ray.io/en/latest/tune/api_docs/analysis.html#ray.tune.ExperimentAnalysis.get_best_trial) is used here:
https://git... | {
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https://api.github.com/repos/huggingface/transformers/issues/16682 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16682/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16682/comments | https://api.github.com/repos/huggingface/transformers/issues/16682/events | https://github.com/huggingface/transformers/pull/16682 | 1,198,542,707 | PR_kwDOCUB6oc417vpW | 16,682 | Type hint complete Albert model file. | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Hi, I'm sorry for the delay with this one! We really appreciate it, and I'm trying to get a chance to look through it all ASAP!",
"Thanks a lot and I am glad that you liked the work.\r\nMore of these will be coming in a few days fo... | 1,649 | 1,651 | 1,651 | CONTRIBUTOR | null | # What does this PR do?
Type hint the Albert Model file for PyTorch Model.
<!--
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 aw... | {
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https://api.github.com/repos/huggingface/transformers/issues/16681 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16681/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16681/comments | https://api.github.com/repos/huggingface/transformers/issues/16681/events | https://github.com/huggingface/transformers/issues/16681 | 1,198,511,312 | I_kwDOCUB6oc5Hb9TQ | 16,681 | `LongT5`: Efficient Text-To-Text Transformer for Long Sequences | {
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"Thanks a lot for opening the issue @stancld ! I'm quite busy with other projects at the moment so I'd be more than happy to guide you here! Do you want to give it a try?",
"Also cc @stefan-it @peregilk @versae ",
"This might also be helpful: https://github.com/patrickvonplaten/t5-mtf-to-hf-converter",
"Here ... | 1,649 | 1,655 | 1,655 | CONTRIBUTOR | null | # 🌟 New model addition -- LongT5: Efficient Text-To-Text Transformer for Long Sequences
## Model description
LongT5 is an extension of the [T5 model](https://github.com/google-research/text-to-text-transfer-transformer) that handles long sequence inputs more efficiently. We integrated attention ideas from long-i... | {
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https://api.github.com/repos/huggingface/transformers/issues/16680 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16680/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16680/comments | https://api.github.com/repos/huggingface/transformers/issues/16680/events | https://github.com/huggingface/transformers/issues/16680 | 1,198,477,750 | I_kwDOCUB6oc5Hb1G2 | 16,680 | Trying to Train Lonformer but from standard transfomer file, error AttributeError: module 'wandb' has no attribute 'run'. Even when I have not install Wandb | {
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"Got the Solution In previous Development I had set Wandb Global Environment Variable as True. And I suppose Transformer Library checks for the Variable and if found it will try for Integration because of which this Issue happened. To fix if you're not using Wandb then execute \r\n\r\n> export WANDB_DISABLED=true\r... | 1,649 | 1,649 | 1,649 | NONE | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: 4.18.0
- Platform: Windows
- Python version: 3.7.13
- PyTorch version (GPU?): Yes
- Tensorflow version (GPU... | {
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https://api.github.com/repos/huggingface/transformers/issues/16679 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16679/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16679/comments | https://api.github.com/repos/huggingface/transformers/issues/16679/events | https://github.com/huggingface/transformers/pull/16679 | 1,198,414,062 | PR_kwDOCUB6oc417XNb | 16,679 | Enable more test_torchscript | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,649 | 1,649 | 1,649 | COLLABORATOR | null | # What does this PR do?
Enable more `test_torchscript` (in 30 files) by updating `_create_and_check_torchscript`.
(There are still 21 files with 23 places being `False` at this moment - they still give errors.)
The main place to review is in `test_modeling_common.py`.
The changes in model specific test files ... | {
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https://api.github.com/repos/huggingface/transformers/issues/16678 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16678/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16678/comments | https://api.github.com/repos/huggingface/transformers/issues/16678/events | https://github.com/huggingface/transformers/issues/16678 | 1,198,343,443 | I_kwDOCUB6oc5HbUUT | 16,678 | `FlaxBartForConditionalGeneration` should not require `input_ids` when `encoder_output` is provided | {
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"ping @patil-suraj",
"Hey @ayaka14732 ! The flax generate method does not support passing in `encoder_outputs`, so `input_ids` is a required input.",
"Thanks! Why does the flax generate method not support passing in `encoder_outputs`? Is that a bug or a feature?\r\n\r\nI am trying to generate with `encoder_outp... | 1,649 | 1,655 | 1,655 | CONTRIBUTOR | null | ## Environment info
- `transformers` version: 4.18.0
- Platform: Linux-5.11.0-1018-gcp-x86_64-with-glibc2.31
- Python version: 3.10.4
- Huggingface_hub version: 0.5.1
- PyTorch version (GPU?): 1.11.0+cu102 (False)
- Tensorflow version (GPU?): 2.8.0 (False)
- Flax version (CPU?/GPU?/TPU?): 0.4.1 (cpu)
- Jax ve... | {
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https://api.github.com/repos/huggingface/transformers/issues/16677 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16677/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16677/comments | https://api.github.com/repos/huggingface/transformers/issues/16677/events | https://github.com/huggingface/transformers/issues/16677 | 1,198,214,778 | I_kwDOCUB6oc5Ha056 | 16,677 | The accuracy of test set is different in training and evaluating Bert | {
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"Hello, thanks for opening an issue! We try to keep the github issues for bugs/feature requests.\r\nCould you ask your question on the [forum](https://discuss.huggingface.co) instead?\r\n\r\nThanks!",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this stil... | 1,649 | 1,652 | 1,652 | NONE | null | Hi,friends, I meet a problem which puzzled me for couple of days.
I want to training a Bert for two classification task on my custom data.
I choose BertForSequenceClassification model.
And I use the 'Trainer' from 'transformers', the tokenizer, model, metrics and Trainer code as follows:
`
tokenizer=BertToke... | {
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https://api.github.com/repos/huggingface/transformers/issues/16676 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16676/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16676/comments | https://api.github.com/repos/huggingface/transformers/issues/16676/events | https://github.com/huggingface/transformers/issues/16676 | 1,197,978,892 | I_kwDOCUB6oc5HZ7UM | 16,676 | Adding new tokens to RobertaTokenizer gives very strange results - probably a bug. | {
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"For additional context, the non-fast `RobertaTokenizer` returns the following results.\r\n\r\n```python\r\n>>> print(tokenizer.tokenize(\"Apples are too_big for turtles.\"))\r\n['App', 'les', 'Ġare', 'Ġtoo', '_', 'big', 'Ġfor', 'Ġturtles', '.']\r\n>>> tokenizer.add_tokens([\"too_big\",\"turtles\"])\r\n>>> print(to... | 1,649 | 1,654 | 1,654 | NONE | null | I am trying to add new tokens to Roberta tokenizer, but the results are rather strange.
from transformers import RobertaTokenizerFast
t = RobertaTokenizerFast.from_pretrained('roberta-base')
print(t.tokenize("Apples are too_big for turtles."))
t.add_tokens(["too_big","turtles"])
print(t.to... | {
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https://api.github.com/repos/huggingface/transformers/issues/16675 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16675/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16675/comments | https://api.github.com/repos/huggingface/transformers/issues/16675/events | https://github.com/huggingface/transformers/pull/16675 | 1,197,695,518 | PR_kwDOCUB6oc415B_Q | 16,675 | [Doctest] added doctest changes for electra | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Hi, I also got an error for `ElectraForPreTraining`.\r\n\r\n~~I am still checking it.~~\r\n\r\nRegarding `ElectraForPreTraining`, could you update that part with\r\n\r\n```\r\n>>> from transformers import ElectraForPreTraining, Elect... | 1,649 | 1,649 | 1,649 | CONTRIBUTOR | null | # What does this PR do?
Adds Doctest fo Electra Pytorch
Issue: #16292
## 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#... | {
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https://api.github.com/repos/huggingface/transformers/issues/16674 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16674/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16674/comments | https://api.github.com/repos/huggingface/transformers/issues/16674/events | https://github.com/huggingface/transformers/pull/16674 | 1,197,578,454 | PR_kwDOCUB6oc414wCq | 16,674 | [Trainer] tf32 arg doc | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,649 | 1,649 | 1,649 | CONTRIBUTOR | null | As discussed at https://github.com/huggingface/transformers/issues/16588#issuecomment-1093056995 expanding the TF32 Trainer arg doc to define the default value and where to find more information.
@sgugger
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,649 | 1,649 | 1,649 | CONTRIBUTOR | null | # What does this PR do?
<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
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<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: 4.18.0
- Platform: Ubuntu & Mac
- Python version: 3.9.7
### Who can help
@sgugger
## Information
Iss... | {
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https://api.github.com/repos/huggingface/transformers/issues/16671 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16671/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16671/comments | https://api.github.com/repos/huggingface/transformers/issues/16671/events | https://github.com/huggingface/transformers/issues/16671 | 1,197,517,480 | I_kwDOCUB6oc5HYKqo | 16,671 | ASR Pipeline: End of transcripts missing when chunking enabled | {
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"Hey @nkaenzig-aifund,\r\n\r\nThanks a lot for the reproducible bug report! I'm looking into it and will try to submit a fix today. cc @Narsil \r\n\r\n```python\r\n#!/usr/bin/env python3\r\nfrom transformers import pipeline\r\n\r\npipe = pipeline(model='facebook/wav2vec2-large-960h-lv60-self')\r\n\r\nresult_1 = pip... | 1,649 | 1,649 | 1,649 | NONE | null | ## Environment info
- `transformers` version: 4.18.0
- Platform: Linux-5.4.144+-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.7.13
- Huggingface_hub version: 0.5.1
- PyTorch version (GPU?): 1.10.0+cu111 (False)
- Tensorflow version (GPU?): 2.8.0 (False)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
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https://api.github.com/repos/huggingface/transformers/issues/16670 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16670/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16670/comments | https://api.github.com/repos/huggingface/transformers/issues/16670/events | https://github.com/huggingface/transformers/issues/16670 | 1,197,457,920 | I_kwDOCUB6oc5HX8IA | 16,670 | Bug in Marian model (or tokenizer) in transformers==4.18.0 | {
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"Good catch! Fix is here #16700",
"Thank you!"
] | 1,649 | 1,649 | 1,649 | CONTRIBUTOR | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: 4.18.0
- Platform: Google Colab / Linux & Conda
- Python version: 3.7.13
- PyTorch version (GPU?): 1.10.0
-... | {
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