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https://api.github.com/repos/huggingface/transformers/issues/19983 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19983/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19983/comments | https://api.github.com/repos/huggingface/transformers/issues/19983/events | https://github.com/huggingface/transformers/issues/19983 | 1,429,900,827 | I_kwDOCUB6oc5VOo4b | 19,983 | Cannot export Donut models to ONNX | {
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"cc @mht-sharma would you mind taking a look at this? It might be related to some of the subtleties you noticed with Whisper and passing encoder outputs through the model vs using the getters",
"```python -m transformers.onnx --model=naver-clova-ix/donut-base-finetuned-cord-v2 --feature=vision2seq-lm scratch/onnx... | 1,667 | 1,675 | 1,675 | MEMBER | null | ### System Info
- `transformers` version: 4.24.0.dev0
- Platform: macOS-10.16-x86_64-i386-64bit
- Python version: 3.8.13
- Huggingface_hub version: 0.10.0
- PyTorch version (GPU?): 1.12.1 (False)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: n... | {
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"> I have seen really promising results from my own experiments with MEGA on long documents\r\n\r\nCool! Could you elaborate?\r\n\r\nIt would be very useful indeed, especially if there would be pre-trained weights for longer sequence tasks, like summarization of very long texts, or classifying multiple images (this... | 1,667 | 1,680 | 1,679 | CONTRIBUTOR | null | ### Model description
MEGA introduces a new attention method which incorporates gating and exponential moving averages to create strong local dependencies, reducing the need for full softmax attention. MEGA set a new SOTA on Long Range Arena, and MEGA-chunk performs nearly as well while achieving linear complexity WRT... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Hey, how can I use it already? I installed the branch, but unsure how to load the model. I'm new with huggingface :D",
"Hey @FrankFundel - hoping @NielsRogge adds a nice example as part of this PR documenting just that 🤞 In the me... | 1,667 | 1,669 | 1,669 | CONTRIBUTOR | null | # What does this PR do?
Fixes #16383
This PR adds the [Audio Spectogram Transformer (AST)](https://arxiv.org/abs/2104.01778) model from MIT.
Similar to Whisper (actually prior to Whisper), the model treats audio as an image and applies a Vision Transformer on it.
The model gets SOTA results on audio classi... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"cc @ArthurZucker ",
"Hey! Great work 👍 \nWe should make sure the CI tests are all green, and could you add a new test like `test_special_code_tokenization` where we make sure that the expected behavior of #19505 works",
"@Arthur... | 1,667 | 1,669 | 1,669 | CONTRIBUTOR | null | # What does this PR do?
This PR fixes the special tokens for PLBartTokenizer, raised in Issue #19505. Previously the tokenizer treats java, python etc. as special tokens, and removes them when decoding is performed.
@LysandreJik | {
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https://api.github.com/repos/huggingface/transformers/issues/19979 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19979/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19979/comments | https://api.github.com/repos/huggingface/transformers/issues/19979/events | https://github.com/huggingface/transformers/pull/19979 | 1,429,792,059 | PR_kwDOCUB6oc5B4Z3H | 19,979 | Run shellcheck on all *.sh scripts and attempt to fix errors | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_19979). All of your documentation changes will be reflected on that endpoint.",
"Thanks. I'm hoping it could be accepted simply to give users of the code base better examples to copy/paste from; the changes are mainly mecha... | 1,667 | 1,670 | 1,670 | NONE | null | Also, refactor a few repetitive code patterns
# What does this PR do?
Attempt to fix shell scripting errors in examples etc.
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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... | 1,667 | 1,702 | 1,702 | NONE | null | ### System Info
- `transformers` version: 4.23.1
- Platform: Linux-5.4.0-1060-aws-x86_64-with-glibc2.10
- Python version: 3.8.12
- Huggingface_hub version: 0.10.1
- PyTorch version (GPU?): 1.10.1+cu113 (False)
- 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/19977 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19977/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19977/comments | https://api.github.com/repos/huggingface/transformers/issues/19977/events | https://github.com/huggingface/transformers/pull/19977 | 1,429,686,708 | PR_kwDOCUB6oc5B4C6O | 19,977 | Add ESMFold | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Merging for now, there are still a few improvements needed (example in a docstring for instance) but they can go in their own PRs :-)"
] | 1,667 | 1,667 | 1,667 | MEMBER | null | cc @sgugger @LysandreJik @tomsercu @rmrao @nikitos9000
Opening a draft PR because deadlines are getting tight and I'd like to get everyone on the same page!
What's done:
- [X] Create a minimal port of `openfold`
- [X] Port ESMFold as `EsmForProteinFolding`
- [X] Update weight conversion scripts to port ESMFold... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"cc @Rocketknight1 ",
"This looks like a great improvement, thank you! I didn't realize how inefficient the postprocessing was there.\r\n\r\nThe PR is failing style checks, but I can fix that here, and will merge once that's done. T... | 1,667 | 1,667 | 1,667 | CONTRIBUTOR | null | # What does this PR do?
The postprocessing of the token classification when using TensorFlow is not as fast as it could be. We discovered that with some experiments and profiling that showed that, in some settings, most time of the pipeline is spent in `gather_pre_entities`:
Before:
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"Great work! Fell free to ping me for a review 👍",
"Hi @ArthurZucker , please pay more attention to the `position_bias`, I think I change it too sharply otherwise the shape will not be the same to the `score`",
"Hi @ArthurZucker , I upload a new commits, it seems better deal with `position_bias`. And if we do ... | 1,667 | 1,667 | 1,667 | NONE | null | # What does this PR do?
<!--
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"Will have a look this morning. Sounds like a bug indeed!",
"@sgugger thanks for fixing, however I'm still encountering an issue that is probably related to this. \r\n\r\nSpecifically, the parameter whose name is the same between a base model and a head model (`self.layernorm` in my case) makes the [test_save_loa... | 1,667 | 1,668 | 1,667 | CONTRIBUTOR | null | ### System Info
Transformers main branch.
### Who can help?
@LysandreJik @sgugger
### Information
- [ ] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or dataset (giv... | {
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https://api.github.com/repos/huggingface/transformers/issues/19973 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19973/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19973/comments | https://api.github.com/repos/huggingface/transformers/issues/19973/events | https://github.com/huggingface/transformers/issues/19973 | 1,429,181,069 | I_kwDOCUB6oc5VL5KN | 19,973 | issue with --jit_mode_eval enabled in trainer commandline | {
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"current behavior\r\nerror log:\r\n[INFO|trainer.py:557] 2022-10-30 20:10:11,309 >> Using cuda_amp half precision backend\r\n10/30/2022 20:10:11 - INFO - __main__ - *** Evaluate ***\r\n[INFO|trainer.py:725] 2022-10-30 20:10:11,309 >> The following columns in the evaluation set don't have a corresponding argument in... | 1,667 | 1,670 | 1,670 | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.24.0.dev0
- Platform: Linux-5.15.0-46-generic-x86_64-with-glibc2.31
- Python version: 3.9.13
- Huggingface_hub version: 0.10.1
- PyTorch version (GPU?): 1.12.1+cu102 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed... | {
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https://api.github.com/repos/huggingface/transformers/issues/19972 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19972/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19972/comments | https://api.github.com/repos/huggingface/transformers/issues/19972/events | https://github.com/huggingface/transformers/issues/19972 | 1,429,061,495 | I_kwDOCUB6oc5VLb93 | 19,972 | DebertaV2 Modeling for SQUAD v2.0 | {
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"Deberta is not a Seq2Seq model, you can't make a quick fix to enable its use with `run_seq2seq_qa`, as you have experienced it. Deberta has a model qith a QA head, so you will be able to use it with the regular `run_qa` script.",
"This issue has been automatically marked as stale because it has not had recent ac... | 1,667 | 1,670 | 1,670 | NONE | null | ### System Info
- `transformers` version: 4.24.0.dev0
- Platform: Linux-5.4.0-1087-gcp-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.7.5
- Huggingface_hub version: 0.10.1
- PyTorch version (GPU?): 1.9.0+cu111 (True)
- Tensorflow version (GPU?): 2.10.0 (False)
- Flax version (CPU?/GPU?/TPU?): not installed ... | {
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https://api.github.com/repos/huggingface/transformers/issues/19971 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19971/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19971/comments | https://api.github.com/repos/huggingface/transformers/issues/19971/events | https://github.com/huggingface/transformers/issues/19971 | 1,428,909,198 | I_kwDOCUB6oc5VK2yO | 19,971 | Add SpA-Former | {
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"@NielsRogge Would it be a valuable contribution to HuggingFace?",
"Sure this would be valuable! Let me know if you need any help"
] | 1,667 | 1,673 | 1,673 | NONE | null | ### Model description
I would like to add [SpA-Former](https://arxiv.org/abs/2206.10910) model to the Transformers.
It is an end-to-end transformer to recover a shadow-free image from a single shaded image. Unlike traditional methods that require two steps for shadow detection and then shadow removal, the SpA-Forme... | {
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https://api.github.com/repos/huggingface/transformers/issues/19970 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19970/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19970/comments | https://api.github.com/repos/huggingface/transformers/issues/19970/events | https://github.com/huggingface/transformers/issues/19970 | 1,428,837,997 | I_kwDOCUB6oc5VKlZt | 19,970 | How to annotate these type of data for custom OCR training | {
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"@NielsRogge @gante Please review\r\nHow I need to annotate for these type of data.\r\n1.\r\n- 3 ( 7s+ 8 )\r\n- 5 (6s + 7)\r\n- s^2\r\n- s^2 + 3s + 1\r\n\r\n2.\r\n- 3 ( 7 s + 8 )\r\n- 5 ( 6 s + 7 )\r\n- s 2\r\n- s 2 + 3 s + 1\r\n\r\nwhich one is correct ?",
"Hi,\r\n\r\nCould you please ask this question on our [f... | 1,667 | 1,667 | 1,667 | NONE | null | @NielsRogge @gante can you please explain how to annotate the below files for custom handwritten mathematical equation training. More importantly s^2
![FCA(1)-4-3tensor(0 89384)888](... | {
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https://api.github.com/repos/huggingface/transformers/issues/19969 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19969/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19969/comments | https://api.github.com/repos/huggingface/transformers/issues/19969/events | https://github.com/huggingface/transformers/pull/19969 | 1,428,748,273 | PR_kwDOCUB6oc5B07pG | 19,969 | Removed dependency from Distilbert tokenizer | {
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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... | 1,667 | 1,670 | 1,670 | CONTRIBUTOR | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/19968 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19968/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19968/comments | https://api.github.com/repos/huggingface/transformers/issues/19968/events | https://github.com/huggingface/transformers/pull/19968 | 1,428,714,619 | PR_kwDOCUB6oc5B00lH | 19,968 | [Doctest] Add configuration_deberta.py | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,667 | 1,667 | 1,667 | CONTRIBUTOR | null | # What does this PR do?
Adds configuration_deberta.py to utils/documentation_tests.txt
Based on https://github.com/huggingface/transformers/issues/19487
@ydshieh can you please have a look? thanks :D
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https://api.github.com/repos/huggingface/transformers/issues/19966 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19966/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19966/comments | https://api.github.com/repos/huggingface/transformers/issues/19966/events | https://github.com/huggingface/transformers/pull/19966 | 1,428,672,889 | PR_kwDOCUB6oc5B0rwS | 19,966 | standardize `DistilBert` class names | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Hmmm, I don't feel comfortable doing such a change. I understand it's supposed to be non-breaking, but we have had usage in the past of such classes, and the renaming here seems purely cosmetic.\r\n\r\nI understand that it would ease... | 1,667 | 1,667 | 1,667 | CONTRIBUTOR | null | # What does this PR do?
This PR aims to standardize the module names of `DistilBert`. For example, previously the `DistilBert` layers were named `TransformerBlock` instead of the current convention `xxxLayer`. This PR addresses this, by changing the names of some core modules of `DistilBertModel`.
This way this m... | {
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https://api.github.com/repos/huggingface/transformers/issues/19965 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19965/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19965/comments | https://api.github.com/repos/huggingface/transformers/issues/19965/events | https://github.com/huggingface/transformers/issues/19965 | 1,428,667,604 | I_kwDOCUB6oc5VJ7zU | 19,965 | Cannot load TensorFlow model from PyTorch weights split to multiple files | {
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"No this is not supported yet, we'll work on adding support for this later on :-)",
"@sgugger Great to hear! 🔝 Feel free then to close this issue if redundant, thanks! :] ",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed ... | 1,667 | 1,670 | 1,670 | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.24.0.dev0
- Platform: Linux-5.15.0-46-generic-x86_64-with-glibc2.29
- Python version: 3.8.10
- Huggingface_hub version: 0.10.1
- PyTorch version (GPU?): 1.13.0+cu117
- Tensorflow version (GPU?): 2.9.2
### Who can help?
@LysandreJik @patrickvonplaten
### Info... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_19964). All of your documentation changes will be reflected on that endpoint.",
"Creating this PR after a long time because of a tensorflow AVX problem on my system due to which I couldn't run any tests. Currently working o... | 1,667 | 1,670 | 1,670 | CONTRIBUTOR | null | # What does this PR do?
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,667 | 1,667 | 1,667 | MEMBER | null | # What does this PR do?
This PR further massages PT's `contrastive_search` in advance of the conversion to TF. It does the following modifications:
1. Pipes additional outputs that were missing (e.g. when `output_attentions` is `True`)
2. Rewrites part of the input replication to share logic with beam search -- re... | {
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https://api.github.com/repos/huggingface/transformers/issues/19962 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19962/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19962/comments | https://api.github.com/repos/huggingface/transformers/issues/19962/events | https://github.com/huggingface/transformers/pull/19962 | 1,428,259,656 | PR_kwDOCUB6oc5BzUOR | 19,962 | Add Onnx Config for PoolFormer | {
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"I have ran \r\n```RUN_SLOW=1 pytest tests/onnx/test_onnx_v2.py -k \"poolformer\"```\r\n\r\n\r\n",
"Conversion output\r\n\r\n![tt2](https://user-images.githubusercontent.com/51019420/198833670-9728dfdc-4bdd... | 1,667 | 1,671 | 1,671 | CONTRIBUTOR | null | # What does this PR do?
<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
Then, please replace this w... | {
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https://api.github.com/repos/huggingface/transformers/issues/19961 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19961/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19961/comments | https://api.github.com/repos/huggingface/transformers/issues/19961/events | https://github.com/huggingface/transformers/pull/19961 | 1,428,242,117 | PR_kwDOCUB6oc5BzQts | 19,961 | Update README.md | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_19961). 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... | 1,667 | 1,670 | 1,670 | NONE | null | [](https://workerb.linearb.io/v2/badge/collaboration-page?magicLinkId=Ds1ztbl)
# What does this PR do?
<!--
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https://api.github.com/repos/huggingface/transformers/issues/19960 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19960/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19960/comments | https://api.github.com/repos/huggingface/transformers/issues/19960/events | https://github.com/huggingface/transformers/issues/19960 | 1,428,152,034 | I_kwDOCUB6oc5VH97i | 19,960 | `return_dict` does not working in `modeling_t5.py` , I set `return_dict==True` but return a turple | {
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"Hi @CaffreyR 👋 At a first glance at our code base, I don't see how that bug can arise 🤔 Can you share a script or a notebook where the issue can be reproduced?",
"Hi @gante, yes of course! Many thanks! The code is here https://github.com/CaffreyR/FiD with little revision from https://github.com/facebookresearc... | 1,667 | 1,667 | 1,667 | NONE | null | ### System Info
- `transformers` version: 4.22.1
- Platform: Linux-5.13.0-48-generic-x86_64-with-debian-bullseye-sid
- Python version: 3.7.13
- Huggingface_hub version: 0.9.1
- PyTorch version (GPU?): 1.12.1+cu102 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not insta... | {
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https://api.github.com/repos/huggingface/transformers/issues/19959 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19959/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19959/comments | https://api.github.com/repos/huggingface/transformers/issues/19959/events | https://github.com/huggingface/transformers/issues/19959 | 1,427,873,857 | I_kwDOCUB6oc5VG6BB | 19,959 | Training using accelerate and deepspeed with ZeRO results in model weights mismatch | {
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"Thanks for the report!\r\n\r\nCc @ArthurZucker\r\nThe OPT tokenizer does not have the same length (50265) as the model embeddings (50272), which causes problems with all our language modeling fine-tuning scripts where there is an automatic resize of the model embeddings to the tokenizer length.\r\nI'm guessing thi... | 1,666 | 1,667 | 1,667 | NONE | null | ### System Info
- `transformers` version: 4.21.1
- Platform: Linux-5.15.0-52-generic-x86_64-with-glibc2.17
- Python version: 3.8.13
- Huggingface_hub version: 0.10.0
- PyTorch version (GPU?): 1.12.1+cu113 (True)
- Tensorflow version (GPU?): 2.10.0 (True)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax... | {
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https://api.github.com/repos/huggingface/transformers/issues/19958 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19958/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19958/comments | https://api.github.com/repos/huggingface/transformers/issues/19958/events | https://github.com/huggingface/transformers/issues/19958 | 1,427,831,737 | I_kwDOCUB6oc5VGvu5 | 19,958 | Using GPT2 tokenizer with DataCollatorForLanguageModeling | {
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"The data collator will expect a list of samples from a torch Dataset, but you are passing a single dictionary to it (the output of the tokenizer is one dictionary, with the keys being the arguments expected by the models like `input_ids`, and the values being tensors).\r\n\r\nYou can actually do directly `model(**... | 1,666 | 1,667 | 1,667 | NONE | null | ### System Info
- `transformers` version: 4.21.3
- Platform: Linux-5.10.0-18-amd64-x86_64-with-glibc2.31
- Python version: 3.9.12
- Huggingface_hub version: 0.9.1
- PyTorch version (GPU?): 1.12.1 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax ver... | {
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https://api.github.com/repos/huggingface/transformers/issues/19957 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19957/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19957/comments | https://api.github.com/repos/huggingface/transformers/issues/19957/events | https://github.com/huggingface/transformers/issues/19957 | 1,427,714,002 | I_kwDOCUB6oc5VGS_S | 19,957 | KeyError: 'eval_loss' | {
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"It doesn't look like you are providing any labels to your model (your functions preparing the dataset do not generate any `start_positions` and `end_positions`). More generally, please use the [forums](https://discuss.huggingface.co/) for any help to debug your code, as we keep the issues for bugs and feature requ... | 1,666 | 1,684 | 1,670 | NONE | null | I am trying to build a Question Answering Pipeline with the Hugginface framework but facing the `KeyError: 'eval_loss'` error. My goal is to train and save the best model at last and evaluate the validation test on the loaded model. My trainer configuration looks like this:
args = TrainingArguments(f'model_t... | {
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https://api.github.com/repos/huggingface/transformers/issues/19956 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19956/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19956/comments | https://api.github.com/repos/huggingface/transformers/issues/19956/events | https://github.com/huggingface/transformers/pull/19956 | 1,427,634,295 | PR_kwDOCUB6oc5BxQtd | 19,956 | Add TF image classification example script | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Still no good, I scanned the test fetcher and found a potential bug. COuld you add\r\n```py\r\n elif f.startswith(\"examples/tensorflow\"):\r\n test_files_to_run.append(\"examples/flax/test_tensorflow_exampl... | 1,666 | 1,675 | 1,675 | COLLABORATOR | null | # What does this PR do?
Adds the TF equivalent for the PyTorch image classification example script.
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](https://github.com/huggingface/transform... | {
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https://api.github.com/repos/huggingface/transformers/issues/19955 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19955/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19955/comments | https://api.github.com/repos/huggingface/transformers/issues/19955/events | https://github.com/huggingface/transformers/pull/19955 | 1,427,558,875 | PR_kwDOCUB6oc5BxANK | 19,955 | changes for mbart_causal_lm | {
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"@sanchit-gandhi please have a look when you have some time to spare, for some reason test did not ran. can you check the same and please re-initialize the test pipeline",
"Might need to fix style according to https://huggingface.co/docs/transformers/pr_checks#code-and-documentation-style",
"This issue has been... | 1,666 | 1,670 | 1,670 | NONE | null | # What does this PR do?
This PR add FlaxMBartForCausalLM which was previously part of #19831, as discussed in [here](https://github.com/huggingface/transformers/issues/19897#issuecomment-1294648919), I am raising a separate PR for it.
Reason I want to add this model is, that it is a prerequisite to Donut model.
... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Without this PR, we have somehow surprising/confusing results\r\n\r\n```python\r\nfrom transformers import CLIPConfig, CLIPModel\r\n\r\nconfig = CLIPConfig.from_pretrained(\"openai/clip-vit-base-patch16\")\r\nprint(config.vision_conf... | 1,666 | 1,667 | 1,667 | COLLABORATOR | null | # What does this PR do?
Remove `vision_config_dict` and `text_config_dict`: just use `vision_config` and `text_config`.
- Make code base cleaner
- Avoid surprising behavior (see the comment)
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https://api.github.com/repos/huggingface/transformers/issues/19953 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19953/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19953/comments | https://api.github.com/repos/huggingface/transformers/issues/19953/events | https://github.com/huggingface/transformers/pull/19953 | 1,427,444,463 | PR_kwDOCUB6oc5BwoE5 | 19,953 | Upload dummy models | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,666 | 1,667 | 1,667 | COLLABORATOR | null | # What does this PR do?
Upload dummy models | {
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https://api.github.com/repos/huggingface/transformers/issues/19952 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19952/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19952/comments | https://api.github.com/repos/huggingface/transformers/issues/19952/events | https://github.com/huggingface/transformers/pull/19952 | 1,427,439,660 | PR_kwDOCUB6oc5BwnC4 | 19,952 | Adding EDSR model | {
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"I will add the other components based on [this](https://huggingface.co/docs/transformers/add_new_model) page. ",
"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... | 1,666 | 1,682 | 1,682 | NONE | null | # What does this PR do?
<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
Then, please replace this w... | {
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https://api.github.com/repos/huggingface/transformers/issues/19951 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19951/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19951/comments | https://api.github.com/repos/huggingface/transformers/issues/19951/events | https://github.com/huggingface/transformers/issues/19951 | 1,427,430,066 | I_kwDOCUB6oc5VFNqy | 19,951 | The scipt exit when calling "pretrainmodel.save_pretrained" because of OOM, but the previous training phase is well | {
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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... | 1,666 | 1,673 | 1,670 | NONE | null | ### System Info
NVIDIA A100 Tensor Core GPUs (80G);
python 3.8.13;
torch 1.10.0+cu113;
transformers 4.20.1;
### Who can help?
@sgugger
### Information
- [x] The official example scripts
- [ ] My own modified scripts
### Tasks
- [X] An officially supported task in the `examples` folder (such... | {
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https://api.github.com/repos/huggingface/transformers/issues/19950 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19950/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19950/comments | https://api.github.com/repos/huggingface/transformers/issues/19950/events | https://github.com/huggingface/transformers/pull/19950 | 1,427,398,518 | PR_kwDOCUB6oc5BweJo | 19,950 | Fix ONNX tests for ONNX Runtime v1.13.1 | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"> Does the new name work with the minimum version of ONNX pinned?\r\n\r\nAre you referring to the version we list in `setup.py` or somewhere else? In `setup.py` we have `onnxruntime>=1.4.0` so users with a pre-existing installation o... | 1,666 | 1,667 | 1,667 | 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/19949 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19949/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19949/comments | https://api.github.com/repos/huggingface/transformers/issues/19949/events | https://github.com/huggingface/transformers/issues/19949 | 1,427,393,712 | I_kwDOCUB6oc5VFEyw | 19,949 | Feature extraction pipeline increasing memory use | {
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"Hi @quancore ,\r\n\r\nIs this line normal ? \r\n```\r\n dataset = ListDataset(df[col].tolist())\r\n```\r\nThis will load the entire dataset in memory, not sure if 65k entries are big or not but they can add up fast if they are sizeable documents.\r\n` df = pd.read_csv(os.path.join(args.df_path), sep='\\t', h... | 1,666 | 1,670 | 1,670 | CONTRIBUTOR | null | ### System Info
UBUNTU 22.04
### Who can help?
@Narsil
### Reproduction
```python
import os
import argparse
import hickle as hkl
import numpy as np
import pandas as pd
from sklearn import model_selection
from transformers import pipeline, AutoTokenizer, AutoModel
import torch
from torch.utils... | {
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https://api.github.com/repos/huggingface/transformers/issues/19948 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19948/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19948/comments | https://api.github.com/repos/huggingface/transformers/issues/19948/events | https://github.com/huggingface/transformers/issues/19948 | 1,427,312,850 | I_kwDOCUB6oc5VExDS | 19,948 | Transformers logging setLevel method seems not to work | {
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"I'll try",
"I am a beginner and unfortunately could not find an example with your issue. I know the logging library and probably could help, but I need to reproduce the example",
"Any thoughts @LysandreJik @sgugger ?",
"This issue has been automatically marked as stale because it has not had recent activity.... | 1,666 | 1,671 | 1,671 | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.21.3
- Platform: Linux-5.15.0-33-generic-x86_64-with-glibc2.35
- Python version: 3.10.4
- Huggingface_hub version: 0.9.1
- PyTorch version (GPU?): 1.11.0+cu113 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
... | {
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https://api.github.com/repos/huggingface/transformers/issues/19947 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19947/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19947/comments | https://api.github.com/repos/huggingface/transformers/issues/19947/events | https://github.com/huggingface/transformers/issues/19947 | 1,427,231,502 | I_kwDOCUB6oc5VEdMO | 19,947 | unexpected OOM error when creating pipeline | {
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"sorry, there are some errors on the server in fact",
"Ok, if you could share what happened it could help potential readers. But glad you fixed it !"
] | 1,666 | 1,666 | 1,666 | NONE | null | ### System Info
```
from transformers import pipeline, set_seed
generator = pipeline('text-generation', model='gpt2',device=0)
```
When i run these code, an unexpected error occured.
```
RuntimeError: CUDA out of memory. Tried to allocate 20.00 MiB (GPU 0; 47.46 GiB total capacity; 148.00 MiB already alloc... | {
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https://api.github.com/repos/huggingface/transformers/issues/19946 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19946/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19946/comments | https://api.github.com/repos/huggingface/transformers/issues/19946/events | https://github.com/huggingface/transformers/pull/19946 | 1,427,217,794 | PR_kwDOCUB6oc5Bv3-B | 19,946 | gradient checkpointing for GPT-NeoX | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"The current failing tests look like infra issues.",
"Yes, looks like a flaky failure!"
] | 1,666 | 1,667 | 1,667 | CONTRIBUTOR | null | # What does this PR do?
Add gradient checkpointing to GPT-NeoX model, in the style of GPT-J | {
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https://api.github.com/repos/huggingface/transformers/issues/19945 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19945/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19945/comments | https://api.github.com/repos/huggingface/transformers/issues/19945/events | https://github.com/huggingface/transformers/pull/19945 | 1,427,018,236 | PR_kwDOCUB6oc5BvNiw | 19,945 | Add Japanese translated README | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thanks for adding this new translation! @younesbelkada do you want to give it a quick proofreading?\r\nAlso @eltociear to make sure the Japanese README stays up to date with the other ones, could you fill the [fololowing dict](https:... | 1,666 | 1,667 | 1,667 | CONTRIBUTOR | null | # What does this PR do?
Add Japanese README
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md#start-contributing-pull-r... | {
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https://api.github.com/repos/huggingface/transformers/issues/19944 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19944/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19944/comments | https://api.github.com/repos/huggingface/transformers/issues/19944/events | https://github.com/huggingface/transformers/issues/19944 | 1,427,000,185 | I_kwDOCUB6oc5VDkt5 | 19,944 | Problem of computing entropy in `run_bertology.py` | {
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"Note that this is a research project, so an example provided as is not really maintained :-)",
"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 ... | 1,666 | 1,670 | 1,670 | NONE | null | ### System Info
- `transformers` version: 4.20.1
- Platform: macOS-12.4-arm64-arm-64bit
- Python version: 3.9.10
- Huggingface_hub version: 0.8.1
- PyTorch version (GPU?): 1.13.0.dev20220709 (False)
- Tensorflow version (GPU?): 2.8.0 (True)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not ... | {
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https://api.github.com/repos/huggingface/transformers/issues/19943 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19943/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19943/comments | https://api.github.com/repos/huggingface/transformers/issues/19943/events | https://github.com/huggingface/transformers/issues/19943 | 1,426,888,565 | I_kwDOCUB6oc5VDJd1 | 19,943 | NllbTokenizer/NllbTokenizerFast inserts language code incorrectly when tokenizing target text | {
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"After further research, I believe that it is intended that `PretrainedConfig.decoder_start_token_id` should be used to insert the lang code at the beginning of the sentence during fine tuning of NLLB and that the `NllbTokenizer` class is working as intended. If that is true, then the documentation for `NllbTokeniz... | 1,666 | 1,704 | 1,680 | NONE | null | ### System Info
- `transformers` version: 4.23.1
- Platform: Windows-10-10.0.19044-SP0
- Python version: 3.8.10
- Huggingface_hub version: 0.10.1
- PyTorch version (GPU?): 1.10.1+cu111 (True)
- Tensorflow version (GPU?): 2.7.3 (True)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not install... | {
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https://api.github.com/repos/huggingface/transformers/issues/19942 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19942/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19942/comments | https://api.github.com/repos/huggingface/transformers/issues/19942/events | https://github.com/huggingface/transformers/issues/19942 | 1,426,846,103 | I_kwDOCUB6oc5VC_GX | 19,942 | 'FlaubertTokenizer' object has no attribute 'do_lowercase' | {
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"Thanks for reporting! I believe this has been fixed on the main branch. While waiting for the next release, could you do a source install?",
"Yes, when installing from main \r\n```\r\npip install git+https://github.com/huggingface/transformers.git\r\n```\r\n\r\nthings work again as expected"
] | 1,666 | 1,666 | 1,666 | NONE | null | ### System Info
- `transformers` version: 4.23.1
- Platform: Linux-5.13.0-30-generic-x86_64-with-glibc2.29
- Python version: 3.8.10
- Huggingface_hub version: 0.10.1
- PyTorch version (GPU?): 1.12.1+cu113 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
... | {
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https://api.github.com/repos/huggingface/transformers/issues/19941 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19941/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19941/comments | https://api.github.com/repos/huggingface/transformers/issues/19941/events | https://github.com/huggingface/transformers/issues/19941 | 1,426,815,064 | I_kwDOCUB6oc5VC3hY | 19,941 | HFArgumentParser using a mix of json file and command line? | {
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"Please use the [forums](https://discuss.huggingface.co/) to ask questions like this as we keep issues for bugs and feature requests only.",
"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\nPl... | 1,666 | 1,670 | 1,670 | NONE | null | Is there a way to make HFArgumentParser to load first from a json/dict and then update any command line arguments on top of it? e.g., if i want to keep a custom defaults file for TrainingArguments but also update some arguments from command line. TIA | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_19940). All of your documentation changes will be reflected on that endpoint.",
"Thanks for your PR. I don't see what is failing with the current code, could you provide a reproducible example of a bug?",
"This is a minim... | 1,666 | 1,670 | 1,670 | NONE | null | Pop out label when padding the signal, add it back afterward to avoid the failure caused by different label length.
# What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/19939 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19939/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19939/comments | https://api.github.com/repos/huggingface/transformers/issues/19939/events | https://github.com/huggingface/transformers/issues/19939 | 1,426,648,445 | I_kwDOCUB6oc5VCO19 | 19,939 | Errors when using "torch_dtype='auto" in "AutoModelForCausalLM.from_pretrained()" to load model | {
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"I believe this has been fixed in more recent versions of Transformers (can't be entirely sure since your code sample and traceback are not properly formatted between three backticks, so very hard to read).\r\nCould you try to upgrade to the latest version?",
"> I believe this has been fixed in more recent versio... | 1,666 | 1,670 | 1,670 | NONE | null | ### System Info
python 3.8.13;
torch 1.10.0+cu113;
transformers 4.20.1;
### Who can help?
@stas00,@sgugger,@patil-suraj, @patrickvonplaten, @LysandreJik
### Information
- [X] The official example scripts
- [ ] My own modified scripts
### Tasks
- [X] An officially supported task in the `example... | {
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https://api.github.com/repos/huggingface/transformers/issues/19938 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19938/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19938/comments | https://api.github.com/repos/huggingface/transformers/issues/19938/events | https://github.com/huggingface/transformers/issues/19938 | 1,426,491,082 | I_kwDOCUB6oc5VBobK | 19,938 | Incorrect Document Content in BlenderBot Tokenizer | {
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"Might be of interest to @ArthurZucker ",
"Okay, this is simply because the model used, `BlenderbotTokenizer.from_pretrained(\"facebook/blenderbot-3B\")` has the attribute `add_prefix_space` set to `True` by default. If you set it to `False` we have the expected different output. \r\nLet me open a PR to fix this.... | 1,666 | 1,668 | 1,668 | NONE | null | `The BlenderBot tokenizer has been trained to treat spaces like parts of the tokens (a bit like sentencepiece) so a word will be encoded differently whether it is at the beginning of the sentence (without space) or not.` However, the examples in BlenderBot Tokenizer (`BlenderbotTokenizer`) are the same:
https://gith... | {
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https://api.github.com/repos/huggingface/transformers/issues/19937 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19937/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19937/comments | https://api.github.com/repos/huggingface/transformers/issues/19937/events | https://github.com/huggingface/transformers/issues/19937 | 1,426,447,043 | I_kwDOCUB6oc5VBdrD | 19,937 | Onnx CLIP Model outputs "Shape mismatch" warining on inference | {
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"cc @lewtun ",
"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/C... | 1,666 | 1,670 | 1,670 | NONE | null | ### System Info
- `transformers` version: 4.23.1
- Platform: Linux-5.10.102.1-microsoft-standard-WSL2-x86_64-with-glibc2.29
- Python version: 3.8.10
- Huggingface_hub version: 0.10.1
- PyTorch version (GPU?): 1.12.1+cu116 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not... | {
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https://api.github.com/repos/huggingface/transformers/issues/19936 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19936/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19936/comments | https://api.github.com/repos/huggingface/transformers/issues/19936/events | https://github.com/huggingface/transformers/pull/19936 | 1,426,445,026 | PR_kwDOCUB6oc5BtW0A | 19,936 | [Doctest] Add configuration_fsmt.py | {
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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... | 1,666 | 1,669 | 1,669 | CONTRIBUTOR | null | # What does this PR do?
Adds `configuration_fsmt.py` to `utils/documentation_tests.txt`
Based on https://github.com/huggingface/transformers/issues/19487
@ydshieh please review, thanks!
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https://api.github.com/repos/huggingface/transformers/issues/19935 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19935/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19935/comments | https://api.github.com/repos/huggingface/transformers/issues/19935/events | https://github.com/huggingface/transformers/pull/19935 | 1,426,388,612 | PR_kwDOCUB6oc5BtK-E | 19,935 | Update Code of Conduct to Contributor Covenant v2.1 | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,666 | 1,666 | 1,666 | CONTRIBUTOR | null | # What does this PR do?
<!--
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https://api.github.com/repos/huggingface/transformers/issues/19934 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19934/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19934/comments | https://api.github.com/repos/huggingface/transformers/issues/19934/events | https://github.com/huggingface/transformers/issues/19934 | 1,426,366,487 | I_kwDOCUB6oc5VBKAX | 19,934 | UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. | {
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"cc @ArthurZucker so it's on your radar.",
"Interesting, we might have more model to refactor ",
"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 t... | 1,666 | 1,676 | 1,676 | NONE | null | ### System Info
C:\Python399\lib\site-packages\transformers\models\bigbird_pegasus\modeling_bigbird_pegasus.py:807: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rou... | {
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https://api.github.com/repos/huggingface/transformers/issues/19933 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19933/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19933/comments | https://api.github.com/repos/huggingface/transformers/issues/19933/events | https://github.com/huggingface/transformers/pull/19933 | 1,426,287,127 | PR_kwDOCUB6oc5Bs1tV | 19,933 | Map `RealmBertModel` for `AutoModel` | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Hi @younesbelkada \r\nWe should also work on `src/transformers/__init__.py`, but otherwise LGTM, thanks!",
"Ah yes, great catch! Will add it now",
"Thanks a lot for the explanation!\r\nYes let's stay pragmatic, I will probably ju... | 1,666 | 1,666 | 1,666 | CONTRIBUTOR | null | # What does this PR do?
This PR maps `RealmModel` to be able to use it with `AutoModel` - for consistency with `BertModel`
Why this PR? I wanted to automate tests for `BetterTransformers` integration in `optimum` without having to import manually the class, see here: https://github.com/younesbelkada/optimum/blob... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,666 | 1,666 | 1,666 | MEMBER | null | From #19848, this PR adds resources for DistilBERT. | {
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https://api.github.com/repos/huggingface/transformers/issues/19929 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19929/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19929/comments | https://api.github.com/repos/huggingface/transformers/issues/19929/events | https://github.com/huggingface/transformers/issues/19929 | 1,426,213,487 | I_kwDOCUB6oc5VAkpv | 19,929 | Token indices sequence length is longer than the specified maximum sequence length for this model (11261 > 1024). Running this sequence through the model will result in indexing errors | {
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"Please use the [forums](https://discuss.huggingface.co/) for questions like this as we keep the issues for bugs (in the library) and feature requests only.",
"@sgugger you are right i am closing this thread\r\n\r\ncould you answer there: https://discuss.huggingface.co/t/which-summarization-model-of-huggingface-s... | 1,666 | 1,666 | 1,666 | NONE | null | ### System Info
I tested 2 models (sshleifer/distilbart-cnn-12-6 , facebook/bart-large-cnn) and they both have very small 1024 max token length
So which model supports full length or the most token count?
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [ ] My own mod... | {
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https://api.github.com/repos/huggingface/transformers/issues/19928 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19928/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19928/comments | https://api.github.com/repos/huggingface/transformers/issues/19928/events | https://github.com/huggingface/transformers/pull/19928 | 1,426,184,633 | PR_kwDOCUB6oc5BsgC- | 19,928 | Add BART resources | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,666 | 1,666 | 1,666 | MEMBER | null | From #19848, this PR adds resources for BART. | {
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https://api.github.com/repos/huggingface/transformers/issues/19927 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19927/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19927/comments | https://api.github.com/repos/huggingface/transformers/issues/19927/events | https://github.com/huggingface/transformers/pull/19927 | 1,426,009,079 | PR_kwDOCUB6oc5Br6Sh | 19,927 | Add `accelerate` support for BART-like models | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thanks a lot! Merging since https://github.com/huggingface/accelerate/pull/792 has been merged 🟢 "
] | 1,666 | 1,666 | 1,666 | CONTRIBUTOR | null | # What does this PR do?
This PR adds `accelerate` support for BART-like models, so that these models can be loaded in 8bit using `load_in_8bit=True`.
Follows the same logic as https://github.com/huggingface/transformers/pull/19912 regarding shared embeddings
Do not merge before https://github.com/huggingface/acc... | {
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https://api.github.com/repos/huggingface/transformers/issues/19926 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19926/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19926/comments | https://api.github.com/repos/huggingface/transformers/issues/19926/events | https://github.com/huggingface/transformers/issues/19926 | 1,425,678,156 | I_kwDOCUB6oc5U-h9M | 19,926 | About the `head_mask` of the Bert model `forward` really speed up? | {
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"Hey @CaffreyR, the head mask isn't there to speed things up.\r\n\r\nYou can read a bit more about it in the [bertology](https://huggingface.co/docs/transformers/v4.23.1/en/bertology) documentation. It's mostly to see which heads impact your prediction, it's not made to speed things up.",
"So you means that only ... | 1,666 | 1,666 | 1,666 | NONE | null | ### System Info
- `transformers` version: 4.20.1
- Platform: macOS-12.4-arm64-arm-64bit
- Python version: 3.9.10
- Huggingface_hub version: 0.8.1
- PyTorch version (GPU?): 1.13.0.dev20220709 (False)
- Tensorflow version (GPU?): 2.8.0 (True)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not ... | {
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https://api.github.com/repos/huggingface/transformers/issues/19925 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19925/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19925/comments | https://api.github.com/repos/huggingface/transformers/issues/19925/events | https://github.com/huggingface/transformers/issues/19925 | 1,425,485,544 | I_kwDOCUB6oc5U9y7o | 19,925 | Does transformers have Swin Object Detection? | {
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"Please use the [forums](https://discuss.huggingface.co/) to ask questions like this, as we keep issues for bugs and feature requests only."
] | 1,666 | 1,666 | 1,666 | CONTRIBUTOR | null | null | {
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https://api.github.com/repos/huggingface/transformers/issues/19924 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19924/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19924/comments | https://api.github.com/repos/huggingface/transformers/issues/19924/events | https://github.com/huggingface/transformers/pull/19924 | 1,425,420,164 | PR_kwDOCUB6oc5Bp6a1 | 19,924 | Support segformer fx | {
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"I noticed that I previously made commit in the main branch(forked my branch).\r\nso I reopend PR again.\r\nCould you review again ? @michaelbenayoun \r\n\r\nthis PR is same with PR 19917(https://github.com/huggingface/transformers/pull/19917)",
"_The documentation is not available anymore as the PR was closed or... | 1,666 | 1,667 | 1,666 | CONTRIBUTOR | null | # What does this PR do?
<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
Then, please replace this w... | {
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https://api.github.com/repos/huggingface/transformers/issues/19923 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19923/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19923/comments | https://api.github.com/repos/huggingface/transformers/issues/19923/events | https://github.com/huggingface/transformers/pull/19923 | 1,425,418,989 | PR_kwDOCUB6oc5Bp6Kw | 19,923 | Some fixes regarding auto mappings and test class names | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,666 | 1,666 | 1,666 | COLLABORATOR | null | # What does this PR do?
Add `pegasus_x` to some auto mappings, and fix the incorrect class names in ViTMSN testing file.
Also fix `ESM` checkpoint | {
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https://api.github.com/repos/huggingface/transformers/issues/19922 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19922/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19922/comments | https://api.github.com/repos/huggingface/transformers/issues/19922/events | https://github.com/huggingface/transformers/pull/19922 | 1,425,396,292 | PR_kwDOCUB6oc5Bp1PH | 19,922 | Remove embarrassing debug print() in save_pretrained | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"This is already part of #19900 which is awaiting your review 😛 ",
"If it is, you haven't pushed it!",
"Oh! Then let's merge this."
] | 1,666 | 1,666 | 1,666 | MEMBER | null | @sgugger spotted this one, sorry about that! (cc @gante) | {
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https://api.github.com/repos/huggingface/transformers/issues/19921 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19921/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19921/comments | https://api.github.com/repos/huggingface/transformers/issues/19921/events | https://github.com/huggingface/transformers/pull/19921 | 1,425,315,319 | PR_kwDOCUB6oc5Bpju_ | 19,921 | [Whisper Tokenizer] Make more user-friendly | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"I'm not sure if Patrick currently has the bandwidth to review this, @sgugger would you be able to take a look if you've got a spare few minutes? Thanks! 🙏",
"Test for `set_prefix_tokens` in https://github.com/huggingface/transform... | 1,666 | 1,667 | 1,667 | CONTRIBUTOR | null | # What does this PR do?
Fixes #19864.
In summary, the Whisper tokenizer is modified to prepend several tokens to the start-of-sequence:
- BOS token id (`<|startoftranscript|>`) -> consistent with other sequence-to-sequence models such as _BART_.
- Language token id (e.g. `<|es|>` for Spanish) -> set only when t... | {
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https://api.github.com/repos/huggingface/transformers/issues/19920 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19920/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19920/comments | https://api.github.com/repos/huggingface/transformers/issues/19920/events | https://github.com/huggingface/transformers/pull/19920 | 1,425,257,530 | PR_kwDOCUB6oc5BpXVW | 19,920 | donut -> donut-swin | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,666 | 1,667 | 1,667 | COLLABORATOR | null | # What does this PR do?
The model type "donut" doesn't exist, and we don't have `DonutConfig` or `DonutModel`. | {
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"It's possible there are tensors not all of the same lengths across processes (maybe the labels since they are not padded?). When trying to gather them, torch.distributed just hangs instead of throwing an error.",
"@sgugger \r\nFirst of all, thank you for your answer.\r\nThe label is padded.\r\nWhen generating, i... | 1,666 | 1,671 | 1,671 | NONE | null | ### System Info
I am fine-tuning Summariation Task with gpt model using multi-gpu. There is no problem training. However, during the evaluation, the following phenomenon occurs.
The gpu utilization is maintained at 100%, but the temperature is very low.
And the evaluation process is no longer in progress.
How ... | {
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https://api.github.com/repos/huggingface/transformers/issues/19918 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19918/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19918/comments | https://api.github.com/repos/huggingface/transformers/issues/19918/events | https://github.com/huggingface/transformers/issues/19918 | 1,425,082,129 | I_kwDOCUB6oc5U8QcR | 19,918 | Why training on Multiple GPU is slower than training on Single GPU for fine tuning Speech to Text Model | {
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"@sanchit-gandhi could you take a look here?",
"Hey @ishamnewsreels! A couple of things:\r\n- Do we need to set `OMP_NUM_THREADS=1`? Looks like this affects multi-processing, wondering if it's interfering with distributed training\r\n- Whilst distributed training is running, could you open a new command line wind... | 1,666 | 1,667 | 1,667 | NONE | null | ### System Info
- `transformers` version: 4.24.0.dev0
- Platform: Linux-5.15.0-52-generic-x86_64-with-debian-bookworm-sid
- Python version: 3.7.13
- Huggingface_hub version: 0.10.1
- PyTorch version (GPU?): 1.10.0+cu113 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not i... | {
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https://api.github.com/repos/huggingface/transformers/issues/19917 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19917/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19917/comments | https://api.github.com/repos/huggingface/transformers/issues/19917/events | https://github.com/huggingface/transformers/pull/19917 | 1,425,080,765 | PR_kwDOCUB6oc5Box-m | 19,917 | Support segformer fx | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thank you @michaelbenayoun :)\r\nI missed `fx_compatible = True` attribute.\r\nUpdated it!",
"also, I checked that glpn model was copied from segformer.\r\nto overcome consistency test, updated glpn code too."
] | 1,666 | 1,666 | 1,666 | CONTRIBUTOR | null | # What does this PR do?
<!--
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Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
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https://api.github.com/repos/huggingface/transformers/issues/19916 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19916/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19916/comments | https://api.github.com/repos/huggingface/transformers/issues/19916/events | https://github.com/huggingface/transformers/issues/19916 | 1,425,049,492 | I_kwDOCUB6oc5U8IeU | 19,916 | Fine-tuning translation model speed anomalies | {
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"Please use the [forums](https://discuss.huggingface.co/) to debug training like this as we keep features for bugs (with a clear reproducer) and feature requests only.",
"I think it is a bug in itself, I tried many devices and the speed is almost the same, obviously not reasonable",
"> t4 graphics card half pre... | 1,666 | 1,670 | 1,670 | NONE | null | ### System Info
python 3.8.12
ubuntu18.04
transformers 4.23.1
### Who can help?
@Narsil
@patil-suraj
@sgugger, @patil-suraj
### Information
- [X] The official example scripts
- [ ] My own modified... | {
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https://api.github.com/repos/huggingface/transformers/issues/19915 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19915/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19915/comments | https://api.github.com/repos/huggingface/transformers/issues/19915/events | https://github.com/huggingface/transformers/issues/19915 | 1,425,027,605 | I_kwDOCUB6oc5U8DIV | 19,915 | Unable to see the weight files after quantization | {
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"Maybe of interest to @michaelbenayoun :)",
"Hi @pradeepdev-1995 ,\r\nYou don't get this issue first ?\r\n```\r\nAttributeError: 'torch.dtype' object has no attribute 'numel'\r\n```",
"Yes. @michaelbenayoun \nBut after rerun in second time in the google colab,\nIt worked without error.\nBut only config file is ... | 1,666 | 1,685 | 1,669 | NONE | null | ### System Info
- `transformers` version: 4.23.1
- Platform: Linux-5.10.133+-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.7.15
- Huggingface_hub version: 0.10.1
- PyTorch version (GPU?): 1.12.1+cu113 (False)
- Tensorflow version (GPU?): 2.9.2 (False)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- ... | {
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https://api.github.com/repos/huggingface/transformers/issues/19914 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19914/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19914/comments | https://api.github.com/repos/huggingface/transformers/issues/19914/events | https://github.com/huggingface/transformers/issues/19914 | 1,424,997,823 | I_kwDOCUB6oc5U772_ | 19,914 | Transformer XL div_val != 1 does not work with fp16 | {
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"According to git blame, @thomwolf added Transformer Xl. Can you help? ",
"I don't think TransformerXL supports FP16 as this is an old model with very specific code for the softmax layer. This won't be an issue we will fix ourselves given that Transformer-XL is not very used anymore, but if someone wants to make ... | 1,666 | 1,666 | 1,666 | CONTRIBUTOR | null | ### System Info
python version `3.10.4`,
Package versions
torch 1.12.0+cu116
torchaudio 0.12.0+cu116
torchvision 0.13.0+cu116
transformers 4.22.2
### Who can help?
@patrickvonplaten
@thomwolf
### Information
- [ ] The official example scri... | {
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https://api.github.com/repos/huggingface/transformers/issues/19913 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19913/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19913/comments | https://api.github.com/repos/huggingface/transformers/issues/19913/events | https://github.com/huggingface/transformers/issues/19913 | 1,424,954,961 | I_kwDOCUB6oc5U7xZR | 19,913 | VideoMAE assumes channel_num==3 | {
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"cc @NielsRogge ",
"Hi,\r\n\r\nThanks for your interest in VideoMAE. I took the unnormalization from the original implementation as can be seen here: https://github.com/MCG-NJU/VideoMAE/blob/b6af64a997da1a2f52ce1cb2f300712faa2444a1/engine_for_pretraining.py#L38-L41. \r\n\r\nThe unnormalization is done to \"undo\"... | 1,666 | 1,667 | 1,667 | NONE | null | ### System Info
- `transformers` version: 4.23.1
- Platform: Linux-5.10.133+-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.7.15
- Huggingface_hub version: 0.10.1
- PyTorch version (GPU?): 1.12.1+cu113 (False)
- Tensorflow version (GPU?): 2.9.2 (False)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- ... | {
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https://api.github.com/repos/huggingface/transformers/issues/19912 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19912/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19912/comments | https://api.github.com/repos/huggingface/transformers/issues/19912/events | https://github.com/huggingface/transformers/pull/19912 | 1,424,782,138 | PR_kwDOCUB6oc5BnzD2 | 19,912 | Add `accelerate` support for M2M100 | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,666 | 1,666 | 1,666 | CONTRIBUTOR | null | # What does this PR do?
This PR adds `accelerate` support to `M2M100`, therefore this enables loading NLLB models in 8-bit using `load_in_8bit=True`.
This might contain a breaking change but I am not sure.
When initializing the model in the meta device using `accelerate` the module `self.shared` is intialized a... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,666 | 1,666 | 1,666 | MEMBER | null | From #19848, this PR adds resources for RoBERTa. | {
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https://api.github.com/repos/huggingface/transformers/issues/19910 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19910/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19910/comments | https://api.github.com/repos/huggingface/transformers/issues/19910/events | https://github.com/huggingface/transformers/pull/19910 | 1,424,563,386 | PR_kwDOCUB6oc5BnDvo | 19,910 | Add checkpoint links in a few config classes | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,666 | 1,666 | 1,666 | COLLABORATOR | null | # What does this PR do?
Add checkpoint links in the following config classes:
- CLIPConfig
- GroupViTConfig
- OwlViTConfig
- XCLIPConfig
A necessary condition to make the tiny model creation work (PR #19901) for those models. | {
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"Hi there! We don't plan on adding support for something else than the Hub/local disk for pretrained model in Transformers.",
"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 ... | 1,666 | 1,670 | 1,670 | NONE | null | ### Feature request
Hi! I'm wondering if there will be support for a custom filesystem argument to "from_pretrained" for transformers, just like there is for datasets (https://huggingface.co/docs/datasets/filesystems).
### Motivation
This ideally would be great for running models in the cloud in "diskless" mode wher... | {
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https://api.github.com/repos/huggingface/transformers/issues/19908 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19908/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19908/comments | https://api.github.com/repos/huggingface/transformers/issues/19908/events | https://github.com/huggingface/transformers/issues/19908 | 1,424,398,311 | I_kwDOCUB6oc5U5pfn | 19,908 | Any ideas on how we can convert a model from huggingface (transformers library )to tensorflow lite? | {
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"Maybe of interest to @gante @Rocketknight1 ",
"Hi @BENSAFOUAN-Abdelhalim, `CamembertForQuestionAnswering` is a PyTorch model. The TF model is `TFCamembertForQuestionAnswering`. That's why you're seeing the missing methods on that model!\r\n\r\nIn general, though, we don't support TFLite conversions for all of ou... | 1,666 | 1,670 | 1,670 | NONE | null | ### System Info
I want to convert CamembertQuestionAnsewring model to tensoflow lite, i download it from huggingface platform, because when i want to save the model locally it gives me the model with 'bin' format.
i'm asking here because huggingface use pytorch pretrained models.
### Who can help?
_No response_
##... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_19907). 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... | 1,666 | 1,670 | 1,670 | CONTRIBUTOR | null | # What does this PR do?
This PR enables torchrun for XLA-based accelerators (TPU/NeuronCore) by using torch.distributed XLA backend. It is dependent on the torch/xla change https://github.com/pytorch/xla/pull/3609.
Example application is the AWS Neuron tutorial with HF Trainer that uses torchrun:
https://awsdo... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,666 | 1,666 | 1,666 | CONTRIBUTOR | null | # What does this PR do?
This PR adds `accelerate` support for:
- `RoBERTa`
- `data2vec_text`
- `Lilt`
- `Luke`
- `XLM-RoBERTa`
- `CamemBERT`
- `LongFormer`
This way, any of the models above can be loaded in 8bit using `load_in_8bit=True`.
Since these models copy the same `xxxLMHead` from `RoBERTa` I had t... | {
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https://api.github.com/repos/huggingface/transformers/issues/19905 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19905/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19905/comments | https://api.github.com/repos/huggingface/transformers/issues/19905/events | https://github.com/huggingface/transformers/pull/19905 | 1,424,297,833 | PR_kwDOCUB6oc5BmJV- | 19,905 | Update check_copies.py | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"This Pull Request's issues are being managed in an another Pull Request, so closing this one !"
] | 1,666 | 1,666 | 1,666 | CONTRIBUTOR | null | Added the proper info for the Hindi Translation of README File
# What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/19904 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19904/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19904/comments | https://api.github.com/repos/huggingface/transformers/issues/19904/events | https://github.com/huggingface/transformers/issues/19904 | 1,424,264,841 | I_kwDOCUB6oc5U5I6J | 19,904 | `return_loss=True` in call for `TFCLIPModel` bugs out. | {
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"Hi @ariG23498, thanks for reporting this issue. \r\n\r\nCould you give more information about the current behaviour? Specifically any tracebacks or more details about what is happening when you do execute? ",
"I have created a [colab notebook](https://gist.github.com/ariG23498/f736dea2f6f488d6c55fd9bb107bef13) t... | 1,666 | 1,674 | 1,674 | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.23.1
- Platform: Linux-5.10.133+-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.7.15
- Huggingface_hub version: 0.10.1
- PyTorch version (GPU?): 1.12.1+cu113 (False)
- Tensorflow version (GPU?): 2.9.2 (False)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- ... | {
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https://api.github.com/repos/huggingface/transformers/issues/19903 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19903/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19903/comments | https://api.github.com/repos/huggingface/transformers/issues/19903/events | https://github.com/huggingface/transformers/pull/19903 | 1,424,233,420 | PR_kwDOCUB6oc5Bl7lR | 19,903 | Created README_hd.md | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_19903). All of your documentation changes will be reflected on that endpoint.",
"added the proper info in [this dictionary](https://github.com/huggingface/transformers/blob/7a1c68a8454c25c55f3f8978c182ea90e3412f5c/utils/che... | 1,666 | 1,667 | 1,667 | CONTRIBUTOR | null | A Hindi Translation for README
# What does this PR do?
It adds the Hindi Translation for the README File !
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https://api.github.com/repos/huggingface/transformers/issues/19902 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19902/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19902/comments | https://api.github.com/repos/huggingface/transformers/issues/19902/events | https://github.com/huggingface/transformers/pull/19902 | 1,424,199,204 | PR_kwDOCUB6oc5Blz7T | 19,902 | Allow flax subfolder | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,666 | 1,666 | 1,666 | MEMBER | null | First, I'm sorry about this long list of commits :sweat_smile: - I have my fork set up correctly now so this shouldn't happen again.
Second, this change would be very useful for this PR in `diffusers` so that clip can be loaded from a subfolder: https://github.com/huggingface/diffusers/pull/880#discussion_r1004209900 | {
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https://api.github.com/repos/huggingface/transformers/issues/19901 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19901/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19901/comments | https://api.github.com/repos/huggingface/transformers/issues/19901/events | https://github.com/huggingface/transformers/pull/19901 | 1,424,149,325 | PR_kwDOCUB6oc5Blozt | 19,901 | Create dummy models | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Here are the 3 formats of the reports\r\n\r\n[simple_report.txt](https://github.com/huggingface/transformers/files/9872354/simple_report.txt)\r\n[failed_report.json](https://github.com/huggingface/transformers/files/9872355/failed_re... | 1,666 | 1,666 | 1,666 | COLLABORATOR | null | # What does this PR do?
This is a new script based on [a previous one](https://gist.github.com/LysandreJik/39058fe6fa8771f74dda7e789a6f63ea#file-create_dummy_models-py)
In the comment, links to 3 reports are provided.
### (Probably) To Do:
- As we shrink the tokenizer vocab size, the special tokens (bos/eos/p... | {
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https://api.github.com/repos/huggingface/transformers/issues/19900 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19900/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19900/comments | https://api.github.com/repos/huggingface/transformers/issues/19900/events | https://github.com/huggingface/transformers/pull/19900 | 1,424,131,545 | PR_kwDOCUB6oc5Blk1i | 19,900 | Safetensors tf | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,666 | 1,666 | 1,666 | COLLABORATOR | null | # What does this PR do?
This PR continues to explore loading models using `safetensors` by adding support for TensorFlow model. It adds support for:
- saving model using `safetensors` with the same API as PyTorch models
- loading models with a safetensors file in TensorFlow-format
- loading models with a safetens... | {
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https://api.github.com/repos/huggingface/transformers/issues/19899 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19899/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19899/comments | https://api.github.com/repos/huggingface/transformers/issues/19899/events | https://github.com/huggingface/transformers/pull/19899 | 1,424,039,937 | PR_kwDOCUB6oc5BlQqT | 19,899 | minor fix in jax attention bias | {
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"cc @sanchit-gandhi ",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_19899). All of your documentation changes will be reflected on that endpoint.",
"Hey @amankhandelia! In general, I'm happy with this change. What worries me is that the tests for BART and BART-dervi... | 1,666 | 1,670 | 1,670 | NONE | null | Fixes #19897
Adding this PR to check if this passes all the test cases, or fix have potential issues
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](https://github.com/huggingface/transfor... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,666 | 1,666 | 1,666 | COLLABORATOR | null | # What does this PR do?
Fixes #19882
Not sure if this was an oversight when introducing fast tokenizers or if there is a real reason for not accepting tuples as well as list here (which is the case everywhere else from a quick search). We'll see if the CI picks something failing but it looks like it fixes the issue... | {
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"@ArthurZucker and also @sanchit-gandhi since you know Flax Bart quite well ",
"Hey @amankhandelia - the test of interest passes for the current BART and BART-derived models, so I wonder whether the issue is with the BART model or rather the mBART one? In general, I'm happy with the notion of changing the mask va... | 1,666 | 1,672 | 1,672 | NONE | null | ### System Info
While implementing Donut model #19831, one of my test was failing `test_from_pretrained_save_pretrained`, while debugging the testcase failure, It is happening because the test is trying to compare nan with nan which causes the failure, on tracing the root cause, it came down to this line [`jnp.full(... | {
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https://api.github.com/repos/huggingface/transformers/issues/19896 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19896/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19896/comments | https://api.github.com/repos/huggingface/transformers/issues/19896/events | https://github.com/huggingface/transformers/pull/19896 | 1,423,922,415 | PR_kwDOCUB6oc5Bk3Pw | 19,896 | Generate: contrastive search uses existing abstractions and conventions | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,666 | 1,666 | 1,666 | MEMBER | null | # What does this PR do?
This PR updates contrastive search to follow existing abstractions conventions in other generation functions. It consists of several tiny changes, with the reasoning for each change in the PR comments below.
This is part of the effort to make converting to TF easier. All slow tests pass (`RU... | {
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https://api.github.com/repos/huggingface/transformers/issues/19895 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19895/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19895/comments | https://api.github.com/repos/huggingface/transformers/issues/19895/events | https://github.com/huggingface/transformers/pull/19895 | 1,423,921,486 | PR_kwDOCUB6oc5Bk3C- | 19,895 | Generate: contrastive search uses existing abstractions and conventions | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_19895). All of your documentation changes will be reflected on that endpoint."
] | 1,666 | 1,666 | 1,666 | MEMBER | null | # What does this PR do?
This PR updates contrastive search to follow existing abstractions conventions in other generation functions. It consists of several tiny changes, with the reasoning for each change in the PR comments below.
This is part of the effort to make converting to TF easier. All slow tests pass (`... | {
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https://api.github.com/repos/huggingface/transformers/issues/19894 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19894/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19894/comments | https://api.github.com/repos/huggingface/transformers/issues/19894/events | https://github.com/huggingface/transformers/issues/19894 | 1,423,849,540 | I_kwDOCUB6oc5U3jhE | 19,894 | Unable to Finetune Deberta | {
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"@sgugger \r\n@patil-suraj \r\n@patrickvonplaten ",
"Please use the [forums](https://discuss.huggingface.co/) to get help debug your code. In this instance you are using the base pretrained model (without a classification head) to do classification so it does not work. You should consider using AutoModelForSequen... | 1,666 | 1,670 | 1,670 | NONE | null | I am trying to finetune deberta for irony detection task, colab's notebook link can be found [here](https://colab.research.google.com/drive/1mZI5W2ozc8speZiwzOtCrWABhSaxqhWD?usp=sharing)
When I try to use 'microsoft/deberta-v3-base' checkpoint with AutoModel, I'm getting the following error :
RuntimeError: Expect... | {
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https://api.github.com/repos/huggingface/transformers/issues/19893 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19893/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19893/comments | https://api.github.com/repos/huggingface/transformers/issues/19893/events | https://github.com/huggingface/transformers/pull/19893 | 1,423,763,210 | PR_kwDOCUB6oc5BkVLP | 19,893 | Geh | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_19893). All of your documentation changes will be reflected on that endpoint."
] | 1,666 | 1,667 | 1,666 | CONTRIBUTOR | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/19892 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19892/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19892/comments | https://api.github.com/repos/huggingface/transformers/issues/19892/events | https://github.com/huggingface/transformers/pull/19892 | 1,423,675,762 | PR_kwDOCUB6oc5BkCxv | 19,892 | Add `flan-t5` documentation page | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thank you for the feedback @sgugger ! I should have addressed the comments now "
] | 1,666 | 1,666 | 1,666 | CONTRIBUTOR | null | # What does this PR do?
This PR adds `FLAN-T5` on the documentation page - following the same approach for `t5-v1.1`: https://huggingface.co/docs/transformers/model_doc/t5v1.1
cc @sgugger @ydshieh @ArthurZucker
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https://api.github.com/repos/huggingface/transformers/issues/19891 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19891/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19891/comments | https://api.github.com/repos/huggingface/transformers/issues/19891/events | https://github.com/huggingface/transformers/pull/19891 | 1,423,576,279 | PR_kwDOCUB6oc5BjuAw | 19,891 | fix jit trace error for model forward sequence is not aligned with jit.trace tuple input sequence, update related doc | {
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"@liangan1 @jianan-gu @yao-matrix please help review",
"_The documentation is not available anymore as the PR was closed or merged._",
"> I still do not understand the main problem: it looks like JIT does not support dictionary inputs which are used in every model in Transformers. Classification models are not ... | 1,666 | 1,667 | 1,667 | CONTRIBUTOR | null | Signed-off-by: Wang, Yi A <yi.a.wang@intel.com>
# What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/19890 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19890/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19890/comments | https://api.github.com/repos/huggingface/transformers/issues/19890/events | https://github.com/huggingface/transformers/issues/19890 | 1,423,575,652 | I_kwDOCUB6oc5U2gpk | 19,890 | Should always set the pad_to_max_length =False when do whole word mask language model fine-tune | {
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"Note that this is not a maintained example, so we are not planning on making any changes to that script.",
"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... | 1,666 | 1,670 | 1,670 | NONE | null | ### Feature request
I am researching some work about whole word mask language model fine-tune and I am doing some customize change on the code from the official example (https://github.com/huggingface/transformers/tree/main/examples/research_projects/mlm_wwm)
I find there is a argument field in class DataTrainingAr... | {
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https://api.github.com/repos/huggingface/transformers/issues/19889 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19889/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19889/comments | https://api.github.com/repos/huggingface/transformers/issues/19889/events | https://github.com/huggingface/transformers/pull/19889 | 1,423,458,873 | PR_kwDOCUB6oc5BjVlg | 19,889 | [DOCTEST] Add `configuration_mbart.py` , `configuration_mctc.py` , `configuration_layoutlm.py` , `configuration_layoutlmv2.py` ,` configuration_layoutlmv3.py` | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,666 | 1,666 | 1,666 | CONTRIBUTOR | null | Based on #19487 .
Resolved #19806 and #19805 | {
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"Please provide a code reproducer for the bug you are experiencing or there is nothing we can do to help.",
"```python\r\nimport torch\r\nfrom transformers import WhisperProcessor, WhisperForConditionalGeneration\r\nfrom datasets import load_dataset\r\nfrom transformers import AutoProcessor, AutoModelForCTC\r\n\r... | 1,666 | 1,677 | 1,677 | NONE | null | ### Feature request
Whisper processor does not currently rescale to the expected [-1, 1) that it requires.
### Motivation
Consistency between model processor layers.
### Your contribution
- | {
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https://api.github.com/repos/huggingface/transformers/issues/19887 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19887/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19887/comments | https://api.github.com/repos/huggingface/transformers/issues/19887/events | https://github.com/huggingface/transformers/issues/19887 | 1,423,442,708 | I_kwDOCUB6oc5U2AMU | 19,887 | Long-form (including timestamps) for whisper | {
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"cc @sanchit-gandhi and @ArthurZucker ",
"Hey @JeffreyWardman! I believe @ArthurZucker has started looking into this, see https://github.com/huggingface/transformers/issues/19490#issuecomment-1285166541 for context!",
"Thanks @sanchit-gandhi! By the looks of it, it would still be missing the timestamps. This is... | 1,666 | 1,670 | 1,669 | NONE | null | ### Feature request
https://github.com/huggingface/transformers/commit/504cd71a6b172f177e6da513bea94fadb18ad99c
- Inference is currently only implemented for short-form i.e. audio is pre-segmented into <=30s segments. Long-form (including timestamps) will be implemented in a future release.
When would the ETA be f... | {
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https://api.github.com/repos/huggingface/transformers/issues/19886 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19886/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19886/comments | https://api.github.com/repos/huggingface/transformers/issues/19886/events | https://github.com/huggingface/transformers/issues/19886 | 1,423,384,333 | I_kwDOCUB6oc5U1x8N | 19,886 | TypeError: ('Keyword argument not understood:', 'ignore_mismatched_sizes') | {
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"Can you try to upgrade your version of Transformers and try again? If it still fails, could you please post the full traceback?",
"I have solved my problem, it was due to the old version transformers code I saved in my project directory that invalidated the transformers version upgraded through pip install~, thx... | 1,666 | 1,666 | 1,666 | NONE | null | ### System Info
transormers~=4.21.0
tensorflow~=2.8.2
python~=3.7.3
when I modify type_vocab_size in config.json in bert-base-chinese, and pass ignore_mismatched_sizes param to from_pretrianed function like below:
`self.bert = TFBertModel.from_pretrained(pretrain_path, ignore_mismatched_sizes=True)
`
Then I got ... | {
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https://api.github.com/repos/huggingface/transformers/issues/19885 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19885/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19885/comments | https://api.github.com/repos/huggingface/transformers/issues/19885/events | https://github.com/huggingface/transformers/issues/19885 | 1,423,359,213 | I_kwDOCUB6oc5U1rzt | 19,885 | Implementing SHAP algorithm on visualBERT transformer | {
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"You should use the [forums](https://github.com/huggingface/safetensors/pull/34) for questions like this as we keep issues for bugs and feature requests only.",
"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 o... | 1,666 | 1,669 | 1,669 | NONE | null | ### System Info
Hi @LysandreJik , @NielsRogge, @sgugger,
I am working to apply [shap](https://shap.readthedocs.io/en/latest/index.html) algorithm on visualbert. I found a piece of code that run`s well on distilbart-xsum-12-6 , Here is the code:
```
import numpy as np
from transformers import AutoTokenizer, Aut... | {
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https://api.github.com/repos/huggingface/transformers/issues/19884 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19884/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19884/comments | https://api.github.com/repos/huggingface/transformers/issues/19884/events | https://github.com/huggingface/transformers/issues/19884 | 1,423,294,427 | I_kwDOCUB6oc5U1b_b | 19,884 | there is no log and processbar when running trainer.train() | {
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"Vscode or datashell do not support widgets, as far as I know, so we can't show the same progress bars there as in a notebook.",
"thanks"
] | 1,666 | 1,666 | 1,666 | NONE | null | ### System Info
When I open a .ipynb in vscode or datashell, there is no log and processbar when running trainer.train(), but in jupyter notebook, it shows.
<img width="770" alt="截屏2022-10-26 11 55 46" src="https://user-images.githubusercontent.com/87161948/197910485-5d16a652-48a4-4c83-b110-b9ad7a95046b.png">
<i... | {
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