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https://api.github.com/repos/huggingface/transformers/issues/25523 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25523/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25523/comments | https://api.github.com/repos/huggingface/transformers/issues/25523/events | https://github.com/huggingface/transformers/pull/25523 | 1,851,471,159 | PR_kwDOCUB6oc5X-LhY | 25,523 | Use dynamic past key-values shape in TF-Whisper | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,692 | 1,692 | 1,692 | MEMBER | null | TF-Whisper uses the static past key-values shape for some conditionals, which causes issues when compiling with past key-values whose shape is not a known constant at compile time.
This PR swaps it to the dynamic runtime shape for correct compilation.
Fixes #25522 | {
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"Good spot - this is actually a bug in the TF-Whisper code! I've opened a PR to fix it at #25523.",
"@DevinTDHa The fix has been merged! You can try it by installing from main with `pip install --upgrade https://github.com/huggingface/transformers.git`. It fixes the issue for me when I run your demo notebook, but... | 1,692 | 1,692 | 1,692 | NONE | null | ### System Info
- `transformers` version: 4.31.0
- Platform: Linux-6.2.6-76060206-generic-x86_64-with-glibc2.17
- Python version: 3.8.17
- Huggingface_hub version: 0.15.1
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- Accelerate version: not installed
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- PyTorch version (GPU?): 2.0.1 (False)
- Te... | {
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https://api.github.com/repos/huggingface/transformers/issues/25521 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25521/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25521/comments | https://api.github.com/repos/huggingface/transformers/issues/25521/events | https://github.com/huggingface/transformers/pull/25521 | 1,851,337,762 | PR_kwDOCUB6oc5X9u3q | 25,521 | Document the test fetcher | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,692 | 1,692 | 1,692 | COLLABORATOR | null | # What does this PR do?
This PR continues the work of properly documenting all our scripts with the test fetcher. | {
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https://api.github.com/repos/huggingface/transformers/issues/25520 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25520/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25520/comments | https://api.github.com/repos/huggingface/transformers/issues/25520/events | https://github.com/huggingface/transformers/pull/25520 | 1,851,205,799 | PR_kwDOCUB6oc5X9S4e | 25,520 | [DINOv2] Add backbone class | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@amyeroberts I've addressed your comments, feel free to approve/merge :)"
] | 1,692 | 1,693 | 1,693 | CONTRIBUTOR | null | # What does this PR do?
This PR:
- adds `Dinov2Backbone` as it was requested at https://github.com/NielsRogge/Transformers-Tutorials/issues/343 and https://github.com/facebookresearch/dinov2/issues/153#issuecomment-1678465000.
- adds DINOv2 to the documentation tests. | {
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https://api.github.com/repos/huggingface/transformers/issues/25519 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25519/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25519/comments | https://api.github.com/repos/huggingface/transformers/issues/25519/events | https://github.com/huggingface/transformers/pull/25519 | 1,851,189,995 | PR_kwDOCUB6oc5X9PeS | 25,519 | [TYPO] fix typo/format in quicktour.md | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_25519). All of your documentation changes will be reflected on that endpoint.",
"@sgugger Hi, Dear sgugger , I met some problem on this PR.\r\nIt failed on the test [ check_circleci_user ]. what should i do can solve ... | 1,692 | 1,692 | 1,692 | 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.
Then, please replace this w... | {
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https://api.github.com/repos/huggingface/transformers/issues/25518 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25518/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25518/comments | https://api.github.com/repos/huggingface/transformers/issues/25518/events | https://github.com/huggingface/transformers/issues/25518 | 1,851,045,139 | I_kwDOCUB6oc5uVLUT | 25,518 | Segmentation fault (core dumped) while loading gpt2-large | {
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"Hey! Could you try isolating the bug to make sure this is actually an issue in transformers and not related to the `flower` library? (A minimal reproducer without other library 😉 )",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be ad... | 1,692 | 1,695 | 1,695 | NONE | null | ### System Info
I am currently working on a federated learning project and trying to use gpt2-large model, but while loading it I am getting `Segmentation fault (core dumped)` error. How to fix it?
FYI: I am using Flower framework for Federated learning and my code has been inspired from here - https://github.com... | {
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https://api.github.com/repos/huggingface/transformers/issues/25517 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25517/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25517/comments | https://api.github.com/repos/huggingface/transformers/issues/25517/events | https://github.com/huggingface/transformers/pull/25517 | 1,851,004,289 | PR_kwDOCUB6oc5X8n4w | 25,517 | add __repr__ to the BitsAndBytesConfig class | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_25517). All of your documentation changes will be reflected on that endpoint."
] | 1,692 | 1,692 | 1,692 | CONTRIBUTOR | null | # What does this PR do?
add __repr__ to the BitsAndBytesConfig class for better visualization and debugging
before
```python
>>> print(bnb_config)
>>> BitsAndBytesConfig(quant_method=<QuantizationMethod.BITS_AND_BYTES: 'bitsandbytes'>)
```
after
```python
>>> print(bnb_config)
>>> BitsAndBytesConfig {
... | {
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"cc @ArthurZucker ",
"Hey! Thanks for reporting, this is a duplicate of #23930, and will be fixed by #23909 this week! ",
"Pr is just waiting for a final review! ",
"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 c... | 1,692 | 1,697 | 1,697 | NONE | null | ### System Info
transformers 4.31.0
python 3.10
### Who can help?
_No response_
### Information
- [X] The official example scripts
- [ ] My own modified scripts
### Tasks
- [X] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or dataset (give details below)
### ... | {
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https://api.github.com/repos/huggingface/transformers/issues/25515 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25515/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25515/comments | https://api.github.com/repos/huggingface/transformers/issues/25515/events | https://github.com/huggingface/transformers/issues/25515 | 1,850,844,174 | I_kwDOCUB6oc5uUaQO | 25,515 | Cfg support | {
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"This has already been added, check the main branch.\r\ncc @gante",
"This has already been added, check the main branch.\r\ncc @gante",
"Awesome, may I ask when would we see it in pypi?",
"@lucasjinreal this will be part of the next release, which should happen within a month or so. Meanwhile, feel free to in... | 1,692 | 1,692 | 1,692 | NONE | null | ### Feature request
Will add cfg support for LLMs?
### Motivation
for better aligned with prompt by make negative mask
### Your contribution
not | {
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https://api.github.com/repos/huggingface/transformers/issues/25514 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25514/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25514/comments | https://api.github.com/repos/huggingface/transformers/issues/25514/events | https://github.com/huggingface/transformers/pull/25514 | 1,850,753,873 | PR_kwDOCUB6oc5X7zJz | 25,514 | Check for case where `auxiliary_head` is `None` in `UperNetPreTrainedModel` | {
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`UperNetConfig` has an option called [`use_auxiliary_head`](https://github.com/huggingface/transformers/blob/main/src/transformers/models/upernet/configuration_upernet.py#L45). When `use_auxiliary_head` is `False`, the [`auxiliary_head` is set to `None`](https://github.com/huggingface/transfo... | {
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- `transformers` version: 4.31.0 (also tried on 4.32.0.dev0)
- Platform: Linux-5.15.0-67-generic-x86_64-with-glibc2.29
- Python version: 3.8.11
- Huggingface_hub version: 0.16.4
- Safetensors version: 0.3.1
- Accelerate version: 0.21.0
- Accelerate config: not found
- PyTorch version (GPU?): 1.... | {
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https://api.github.com/repos/huggingface/transformers/issues/25512 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25512/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25512/comments | https://api.github.com/repos/huggingface/transformers/issues/25512/events | https://github.com/huggingface/transformers/pull/25512 | 1,850,706,422 | PR_kwDOCUB6oc5X7o2B | 25,512 | Bump tornado from 6.3.2 to 6.3.3 in /examples/research_projects/visual_bert | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,692 | 1,692 | 1,692 | CONTRIBUTOR | null | Bumps [tornado](https://github.com/tornadoweb/tornado) from 6.3.2 to 6.3.3.
<details>
<summary>Changelog</summary>
<p><em>Sourced from <a href="https://github.com/tornadoweb/tornado/blob/master/docs/releases.rst">tornado's changelog</a>.</em></p>
<blockquote>
<h1>Release notes</h1>
<p>.. toctree::
:maxdepth: 2</p>
<p>r... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,692 | 1,692 | 1,692 | CONTRIBUTOR | null | Bumps [tornado](https://github.com/tornadoweb/tornado) from 6.3.2 to 6.3.3.
<details>
<summary>Changelog</summary>
<p><em>Sourced from <a href="https://github.com/tornadoweb/tornado/blob/master/docs/releases.rst">tornado's changelog</a>.</em></p>
<blockquote>
<h1>Release notes</h1>
<p>.. toctree::
:maxdepth: 2</p>
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_25510). All of your documentation changes will be reflected on that endpoint.",
"@sanchit-gandhi all done?"
] | 1,692 | 1,692 | 1,692 | CONTRIBUTOR | null | # What does this PR do?
Adds a note about token and generation limitations to the MusicGen docs so users know how to use the MusicGen model.
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
## Who can review?
@sanchit-gandhi
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"cc @Narsil ",
"Hi @Narsil, this PR is ready for review. Could you please take a look? Thanks :) ",
"> Can we have a single flag to switch behavior ?\r\ndo you mean to try use the same flag in preprocess as in _forward/postprocess?\r\n\r\nthe model_type was used in preprocess because there could other models th... | 1,692 | 1,700 | 1,697 | CONTRIBUTOR | null | # What does this PR do?
Add GitForCausalLM model in VisualQuestionAnsweringPipeline.
Fixes part of #21110 and is based on #23348 #21227 .
## Who can review?
Hi @NielsRogge what do you think of this??
Thanks!
## TODOs
- [x] Add GIT model in VQA pipelines
- [x] Add tests
- [ ] Move custom preprocessi... | {
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https://api.github.com/repos/huggingface/transformers/issues/25508 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25508/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25508/comments | https://api.github.com/repos/huggingface/transformers/issues/25508/events | https://github.com/huggingface/transformers/issues/25508 | 1,850,296,251 | I_kwDOCUB6oc5uSUe7 | 25,508 | Using `torch.compile` disables eval loss when using `Trainer` | {
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"Could you try again on the latest release please?",
"Sure, I get the same output with `4.31.0`",
"cc @muellerzr ",
"@RoniGurvich can you give me some more information about libraries being used?\r\n\r\nWhat version of `accelerate` and `torch` specifically.\r\n\r\nI ask as running your code gives me an error ... | 1,692 | 1,699 | 1,699 | NONE | null | ### System Info
python version 3.10.6
transformers version 4.30.2
linux machine
running in a poetry env
### Who can help?
@sgugger
### Information
- [ ] The official example scripts
- [X] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- ... | {
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https://api.github.com/repos/huggingface/transformers/issues/25507 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25507/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25507/comments | https://api.github.com/repos/huggingface/transformers/issues/25507/events | https://github.com/huggingface/transformers/issues/25507 | 1,850,243,778 | I_kwDOCUB6oc5uSHrC | 25,507 | Is non-determinism in outputs generated by LlamaForCausalLM, the expected behavior? | {
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"cc @gante\r\nI think the model has random sampling enabled by default in its [generation config](https://huggingface.co/meta-llama/Llama-2-13b-chat-hf/blob/main/generation_config.json). For reproducible results, you will need to set `do_sample` to `False`.",
"Thank you!"
] | 1,692 | 1,692 | 1,692 | NONE | null | https://github.com/huggingface/transformers/blob/e42587f596181396e1c4b63660abf0c736b10dae/src/transformers/models/llama/modeling_llama.py#L727
I've noticed that this class does not lead to deterministic outputs.
See discussion on the hugging face hub [here](https://discuss.huggingface.co/t/making-llama-text-genera... | {
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"Hi thanks, it is a good suggestion to simply try creating the device. Perhaps `diffusers` can be updated to do the same?\r\n\r\nDoing this approach makes the list of backends obsolete, so I removed. I just let it throw an unhandled error as I feel the message is informative enough, but let me know if you want that... | 1,692 | 1,692 | 1,692 | CONTRIBUTOR | null | Adds support for environment variable `TRANSFORMERS_TEST_DEVICE` to set device in use for running the test suite. This pattern is already in use in `diffusers`.
# What does this PR do?
Adds support for environment variable `TRANSFORMERS_TEST_DEVICE` to set device in use for running the test suite. This is a patte... | {
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https://api.github.com/repos/huggingface/transformers/issues/25505 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25505/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25505/comments | https://api.github.com/repos/huggingface/transformers/issues/25505/events | https://github.com/huggingface/transformers/pull/25505 | 1,850,089,105 | PR_kwDOCUB6oc5X5hyD | 25,505 | Conditional DETR type hint fix | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thanks @Rocketknight1 "
] | 1,692 | 1,692 | 1,692 | MEMBER | null | Quick fix to the type hints for Conditional DETR! cc @sgugger | {
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https://api.github.com/repos/huggingface/transformers/issues/25504 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25504/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25504/comments | https://api.github.com/repos/huggingface/transformers/issues/25504/events | https://github.com/huggingface/transformers/issues/25504 | 1,850,027,801 | I_kwDOCUB6oc5uRS8Z | 25,504 | Maskformer is missing dataclass decorator | {
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"@cchan-lm Indeed! Would you like to open a PR to add the decorator? This way you get the github contribution for spotting this :) ",
"Sure! I'll do so from my personal account, @rachthree.\r\n\r\nTo avoid this in the future, what are your thoughts on adding a test to check that all direct subclasses of `ModelOut... | 1,692 | 1,694 | 1,694 | NONE | null | ### System Info
- `transformers` version: 4.29.2
- Platform: Linux-5.15.0-76-generic-x86_64-with-glibc2.35
- Python version: 3.9.11
- Huggingface_hub version: 0.15.1
- Safetensors version: 0.3.2
- PyTorch version (GPU?): 1.13.0+cu116 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GP... | {
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"This error is most probably indicating that the `embedding` layer received indices outside of its range. Did you properly resize the embedding layer to match the size of the tokenizers' length? (Running on CPU will allow you to see the actual source of the error)",
"Thank you so much for the quick reply. This is... | 1,692 | 1,703 | 1,700 | NONE | null | ### System Info
- `transformers` version: 4.28.0.dev0
- Platform: Linux-6.2.15-100.fc36.x86_64-x86_64-with-glibc2.35
- Python version: 3.10.9
- Huggingface_hub version: 0.13.4
- Safetensors version: not installed
- PyTorch version (GPU?): 2.0.0+cu117 (True)
- Tensorflow version (GPU?): not installed (NA)
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https://api.github.com/repos/huggingface/transformers/issues/25502 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25502/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25502/comments | https://api.github.com/repos/huggingface/transformers/issues/25502/events | https://github.com/huggingface/transformers/issues/25502 | 1,849,972,582 | I_kwDOCUB6oc5uRFdm | 25,502 | Training RWKV is ~10x slower than GPT2 on GPU | {
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"The problem was that I wasn't using RWKV's custom kernel. `pip install ninja` resolves the slowdown."
] | 1,692 | 1,692 | 1,692 | NONE | null | ### System Info
Training RWKV is ~10x slower than GPT2 on GPU and ~3x slower on CPU. Both use Huggingface's implementations.
cuda version: 12.1
torch version: 2.1.0.dev20230812+cu121
cuda driver: 8902
huggingface version: 4.30.2
operating system: posix
Linux 5.15.0-78-generic
GPU: 1x A6000
I was able to re... | {
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https://api.github.com/repos/huggingface/transformers/issues/25501 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25501/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25501/comments | https://api.github.com/repos/huggingface/transformers/issues/25501/events | https://github.com/huggingface/transformers/pull/25501 | 1,849,860,380 | PR_kwDOCUB6oc5X4xxm | 25,501 | 🚨🚨🚨 Remove softmax for EfficientNetForImageClassification 🚨🚨🚨 | {
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"cc @rwightman Managed to track down the issue with the efficient net predictions on the hub ",
"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,692 | 1,692 | 1,692 | COLLABORATOR | null | # What does this PR do?
**\/!\ This is a breaking change /!\\**
EfficientNet implementation erroneously added a softmax to the models logits in the classification head. This breaks with convention and [documentation](https://github.com/huggingface/transformers/blob/87c9d8a10f3935a46fc7b254d3bea97bca4bfcce/src/t... | {
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https://api.github.com/repos/huggingface/transformers/issues/25500 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25500/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25500/comments | https://api.github.com/repos/huggingface/transformers/issues/25500/events | https://github.com/huggingface/transformers/pull/25500 | 1,849,845,282 | PR_kwDOCUB6oc5X4uvs | 25,500 | fix gptq nits | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,692 | 1,692 | 1,692 | MEMBER | null | # What does this PR do ?
This PR fixes a few nits on the GPTQ integration (docs and `GPTQConfig` class) | {
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https://api.github.com/repos/huggingface/transformers/issues/25499 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25499/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25499/comments | https://api.github.com/repos/huggingface/transformers/issues/25499/events | https://github.com/huggingface/transformers/issues/25499 | 1,849,843,893 | I_kwDOCUB6oc5uQmC1 | 25,499 | CUDA out of memory | {
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"Please provide a full reproducer and a reason why this all should fit in the 16GB GPU you have available.",
"> Please provide a full reproducer and a reason why this all should fit in the 16GB GPU you have available.\r\n\r\n@sgugger Here is the full code(i hope you got the link shared)\r\nWhile going over lmsys ... | 1,692 | 1,702 | 1,702 | NONE | null | ### System Info
Kaggle notebook
### Who can help?
@pacman100 @sgu
### Information
- [ ] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or dataset (give details below)
### Reproduction
`... | {
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https://api.github.com/repos/huggingface/transformers/issues/25498 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25498/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25498/comments | https://api.github.com/repos/huggingface/transformers/issues/25498/events | https://github.com/huggingface/transformers/pull/25498 | 1,849,790,803 | PR_kwDOCUB6oc5X4jI6 | 25,498 | 🌐 [i18n-KO] Translated `add_new_pipeline.md` to Korean | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_25498). All of your documentation changes will be reflected on that endpoint.",
"May you please review this PR @stevhliu ? cc: @sgugger , @ArthurZucker, @eunseojo\r\nThank you so much for your help!"
] | 1,692 | 1,693 | 1,693 | CONTRIBUTOR | null | <!-- PR의 제목은 "🌐 [i18n-KO] Translated `add_new_pipeline.md` to Korean" 으로 부탁드립니다! -->
# What does this PR do?
Translated the `add_new_pipeline.md` file of the documentation to Korean.
Thank you in advance for your review.
Part of https://github.com/huggingface/transformers/issues/20179
## Before reviewing
... | {
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https://api.github.com/repos/huggingface/transformers/issues/25497 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25497/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25497/comments | https://api.github.com/repos/huggingface/transformers/issues/25497/events | https://github.com/huggingface/transformers/pull/25497 | 1,849,740,618 | PR_kwDOCUB6oc5X4YLs | 25,497 | MaskFormer post_process_instance_segmentation bug fix convert out side of loop | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Hi,\r\nI am using transformers Version: 4.32.0.dev0, \r\ndo you have an estimated time to release a version with this fix?\r\nthanks",
"@MayChi22 We release a new version roughly every month, so there will likely be a new release i... | 1,692 | 1,692 | 1,692 | COLLABORATOR | null | # What does this PR do?
Resolves a bug in post processing logic in MaskFormer and Mask2Former.
If `return_coco_annotation` is set to `True` the generated segmentation map was converted to RLE before finishing iterating over all of the queries. This breaks the assumption that segmentation is an array of the same ... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"There are 6 occurrences of `if (...) padding_len > 0` in the source file [modeling_tf_longformer.py](https://github.com/huggingface/transformers/pull/25496/files#diff-782b222e9d393fe6750cf8e4cd870bcf3748a92ade5086e518b4d716a80080f8).... | 1,692 | 1,692 | 1,692 | MEMBER | null | This PR fixes an issue where one of the logging blocks in `TFLongformer` was hidden behind a conditional that didn't play nicely with TF compilation. The issue is only triggered in certain compilation paths, which is why our tests didn't pick this up.
Fixes #25418 | {
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https://api.github.com/repos/huggingface/transformers/issues/25495 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25495/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25495/comments | https://api.github.com/repos/huggingface/transformers/issues/25495/events | https://github.com/huggingface/transformers/pull/25495 | 1,849,712,912 | PR_kwDOCUB6oc5X4SPZ | 25,495 | [DO NOT MERGE] testing out `tokenizers==013.4.rc1`. | {
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"@ydshieh FYI.\r\n\r\nCurrent failure seem all linked to small dummy tokenizers. I'll look into the errors and report back (not sure why stride is so much used though)",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_25495). All of your documentation changes will be ref... | 1,692 | 1,695 | 1,695 | CONTRIBUTOR | null | # What does this PR do?
testing out `tokenizers==013.4.rc1`.
<!--
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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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"I'm not too sure why you are opening an issue here as this has nothing to do with the Transformers library. You should try the PyTorch forums.",
"@sgugger sorry and thank you",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be address... | 1,692 | 1,695 | 1,695 | NONE | null | I'm currently working on training an LSTM-based RNN using PyTorch and encountering an error during the training loop I've tried various solutions to resolve this issue but I'm still facing the same error message. Here's the relevant code snippet
```import torch
import torch.nn as nn
import torch.optim as optim
fr... | {
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https://api.github.com/repos/huggingface/transformers/issues/25493 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25493/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25493/comments | https://api.github.com/repos/huggingface/transformers/issues/25493/events | https://github.com/huggingface/transformers/pull/25493 | 1,849,437,260 | PR_kwDOCUB6oc5X3U9t | 25,493 | Set can_generate for SpeechT5ForTextToSpeech | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,692 | 1,692 | 1,692 | COLLABORATOR | null | # What does this PR do?
Following the [discussion](https://github.com/huggingface/transformers/pull/24952#discussion_r1293224895) on checking whether the generate or forward method will be used in the TTS pipeline, it makes sense to set `can_generate=True` for `SpeechT5ForTextToSpeech`, so that it's easier to check ... | {
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"Output exceeds the [size limit](command:workbench.action.openSettings?%5B%22notebook.output.textLineLimit%22%5D). Open the full output data [in a text editor](command:workbench.action.openLargeOutput?feedb4df-81a7-4c54-ab34-8c946d0d421b)---------------------------------------------------------------------------\r\... | 1,692 | 1,692 | 1,692 | NONE | null | ### System Info
- `transformers` version: 4.31.0
- Platform: Linux-5.4.0-153-generic-x86_64-with-glibc2.31
- Python version: 3.10.0
- Huggingface_hub version: 0.15.1
- Safetensors version: 0.3.1
- Accelerate version: 0.21.0
- Accelerate config: not found
- PyTorch version (GPU?): 2.1.0.dev20230810+cu118 (Tru... | {
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https://api.github.com/repos/huggingface/transformers/issues/25491 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25491/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25491/comments | https://api.github.com/repos/huggingface/transformers/issues/25491/events | https://github.com/huggingface/transformers/issues/25491 | 1,849,311,280 | I_kwDOCUB6oc5uOkAw | 25,491 | expected scalar type Float but found Half | {
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"Model successfully loaded, but during model.generate line throwing the error.\r\n",
"Please copy-paste the whole traceback, as is asked in the issue templare.\r\ncc @ArthurZucker and @younesbelkada ",
"@ArthurZucker @younesbelkada @sgugger \r\n```python\r\nRuntimeError Traceback (m... | 1,692 | 1,695 | 1,695 | NONE | null | ### System Info
Install latest trsansformer, accelarate, and butsandbytes.
### Who can help?
from transformers import T5Tokenizer, T5ForConditionalGeneration
@sgugger
### Information
- [X] The official example scripts
- [ ] My own modified scripts
### Tasks
- [X] An officially supported task in the `examples... | {
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https://api.github.com/repos/huggingface/transformers/issues/25490 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25490/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25490/comments | https://api.github.com/repos/huggingface/transformers/issues/25490/events | https://github.com/huggingface/transformers/issues/25490 | 1,849,303,537 | I_kwDOCUB6oc5uOiHx | 25,490 | Owlvit's Image Guided Detection Broken | {
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"```python\r\nimport requests\r\nfrom PIL import Image\r\nimport torch\r\nfrom transformers import AutoProcessor, OwlViTForObjectDetection\r\n\r\nprocessor = AutoProcessor.from_pretrained(\"google/owlvit-base-patch16\")\r\nmodel = OwlViTForObjectDetection.from_pretrained(\"google/owlvit-base-patch16\")\r\nurl = \"h... | 1,692 | 1,692 | 1,692 | NONE | null | ### System Info
Colab env. for better reproducibility (transformers==4.32.0.dev0)
I ran the example for several times but it still give wrong results.
https://colab.research.google.com/github/huggingface/notebooks/blob/main/examples/zeroshot_object_detection_with_owlvit.ipynb
Dear @amyeroberts , @ArthurZuck... | {
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"I could help here, I have worked with both of these models as well as LoFTR which is the current SOTA in image matching. I am new to Transformers contributions as well, but would love to contribute if any of the repo maintainers agree to the inclusion of these models",
"Hi @arkouda , I was about to use this mode... | 1,691 | 1,692 | null | NONE | null | ### Model description
The SuperGlue network is a Graph Neural Network combined with an Optimal Matching layer that is trained to perform matching on two sets of sparse image features.
SuperGlue is built on top of SuperPoint model which consists of detecting the most interesting keypoints in an image. With the keypoi... | {
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https://api.github.com/repos/huggingface/transformers/issues/25488 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25488/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25488/comments | https://api.github.com/repos/huggingface/transformers/issues/25488/events | https://github.com/huggingface/transformers/pull/25488 | 1,849,051,669 | PR_kwDOCUB6oc5X1_0E | 25,488 | Add type hints to Blip2QFormer, BigBirdForQA and ConditionalDetr family models | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,691 | 1,692 | 1,692 | CONTRIBUTOR | null | # What does this PR do?
Addresses a few type hints in https://github.com/huggingface/transformers/issues/16059
## Who can review?
@Rocketknight1 please
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https://api.github.com/repos/huggingface/transformers/issues/25487 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25487/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25487/comments | https://api.github.com/repos/huggingface/transformers/issues/25487/events | https://github.com/huggingface/transformers/issues/25487 | 1,849,004,278 | I_kwDOCUB6oc5uNZD2 | 25,487 | GPU memory usage increased continuously in validation | {
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"Yes, the tensors are accumulated on the GPUs and you are asking for a lot of them with `output_attentions=True`, so it's perfectly normal to see a GPU memory increase. To manage your GPU RAM you will need to set `eval_accumulation_steps` so that the tensors accumulated are offloaded to the CPU every `eval_accumula... | 1,691 | 1,692 | 1,692 | NONE | null | ### System Info
- `transformers` version: 4.30.2
- Platform: Linux-5.15.0-78-generic-x86_64-with-glibc2.29
- Python version: 3.8.10
- Huggingface_hub version: 0.15.1
- Safetensors version: 0.3.1
- PyTorch version (GPU?): 2.0.1+cu117 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU... | {
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https://api.github.com/repos/huggingface/transformers/issues/25486 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25486/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25486/comments | https://api.github.com/repos/huggingface/transformers/issues/25486/events | https://github.com/huggingface/transformers/issues/25486 | 1,848,970,146 | I_kwDOCUB6oc5uNQui | 25,486 | Mask2Former post-processing RLE | {
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"Hi @vjsrinivas, thanks for reporting! \r\n\r\nI've opened #25497 which should resolve this issue",
"@amyeroberts thanks for the quick reply! Do we pip install from the github project for these kinds of hotfixes?",
"@vjsrinivas Yes, once the PR is merged in, you'll need to install from source to have the curren... | 1,691 | 1,692 | 1,692 | NONE | null | ### System Info
- `transformers` version: 4.31.0
- Platform: Linux-6.2.6-76060206-generic-x86_64-with-glibc2.35
- Python version: 3.10.12
- Huggingface_hub version: 0.16.4
- Safetensors version: 0.3.2
- Accelerate version: not installed
- Accelerate config: not found
- PyTorch version (GPU?): 1.13.1 (True)
- T... | {
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https://api.github.com/repos/huggingface/transformers/issues/25485 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25485/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25485/comments | https://api.github.com/repos/huggingface/transformers/issues/25485/events | https://github.com/huggingface/transformers/issues/25485 | 1,848,736,502 | I_kwDOCUB6oc5uMXr2 | 25,485 | [MMS] Unable to load processor for `facebook/mms-300m` or `facebook/mms-1b` | {
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"The processor class is made up of two objects:\r\n1. The feature extractor: to pre-process the audio inputs\r\n2. The tokenizer: to convert the predicted CTC ids to text outputs\r\n\r\nNote that the tokenizer is **only** required for CTC decoding `Wav2Vec2ForCTC`. If you only require the base model (`Wav2Vec2Model... | 1,691 | 1,692 | 1,692 | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.32.0.dev0
- Platform: Linux-5.15.109+-x86_64-with-glibc2.35
- Python version: 3.10.12
- Huggingface_hub version: 0.16.4
- Safetensors version: 0.3.2
- Accelerate version: not installed
- Accelerate config: not found
- PyTorch version (GPU?): 2.0.1+cu118 (False)
- Ten... | {
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https://api.github.com/repos/huggingface/transformers/issues/25484 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25484/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25484/comments | https://api.github.com/repos/huggingface/transformers/issues/25484/events | https://github.com/huggingface/transformers/issues/25484 | 1,848,644,145 | I_kwDOCUB6oc5uMBIx | 25,484 | [Trainer API] Mention that the total number of steps per epoch is separate from total number of steps on training run | {
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"The progress bar clearly indicates the count of epochs (here we can see 0/25 in your screenshot), I'm not sure what more we can add to make this clearer.",
"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 th... | 1,691 | 1,695 | 1,695 | NONE | null | ### Feature request
Is there a possibility to maybe mention within the Trainer API that the number of steps mentioned during a `trainer.train()` call is actually the `num_steps_per_epoch * epochs` instead of just `num_steps_per_epoch` and also shift the Epoch note to the front?
. All of your documentation changes will be reflected on that endpoint."
] | 1,691 | 1,691 | 1,691 | CONTRIBUTOR | null | # Import torch and numpy libraries to required section
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https://api.github.com/repos/huggingface/transformers/issues/25482 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25482/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25482/comments | https://api.github.com/repos/huggingface/transformers/issues/25482/events | https://github.com/huggingface/transformers/pull/25482 | 1,848,500,551 | PR_kwDOCUB6oc5X0MXf | 25,482 | Added paper links in logitprocess.py | {
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"cc @gante \r\n\r\nThanks for your PR! Please run `make style` on your branch to fix the auto-formatting issues.",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_25482). All of your documentation changes will be reflected on that endpoint.",
"@sgugger I have addressed... | 1,691 | 1,692 | 1,692 | CONTRIBUTOR | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/25481 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25481/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25481/comments | https://api.github.com/repos/huggingface/transformers/issues/25481/events | https://github.com/huggingface/transformers/pull/25481 | 1,848,420,179 | PR_kwDOCUB6oc5Xz8AE | 25,481 | [DOCS] Add example for HammingDiversityLogitsProcessor | {
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"@gante -- hey! Currently, the checks are failing because of some changes in the docs, but not sure if I can/should fix those-- using black, the files I've changed seem to be formatted correctly? Is there something I need to change in the docs to have this merge? ",
"@gante Fixes made! :)",
"The docs for this P... | 1,691 | 1,692 | 1,692 | CONTRIBUTOR | null | # What does this PR do?
Adds an example to the docstring of HammingDiversityLogitsProcessor class definition in [this file](https://github.com/huggingface/transformers/blob/main/src/transformers/generation/logits_process.py).
Part of the docs work on [Generate: have an example on each logits processor class docst... | {
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https://api.github.com/repos/huggingface/transformers/issues/25479 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25479/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25479/comments | https://api.github.com/repos/huggingface/transformers/issues/25479/events | https://github.com/huggingface/transformers/issues/25479 | 1,848,405,518 | I_kwDOCUB6oc5uLG4O | 25,479 | AttributeError: 'NoneType' object has no attribute 'shape' | {
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"In order for your model to compute a loss, you need to give it `labels`. The dataset you are using does not contain any `labels` key, which is why you are getting this error.\r\n\r\nPlease also consider using the [forums](https://discuss.huggingface.co/) to help debug your code.",
"@sgugger Thanks for your respo... | 1,691 | 1,695 | 1,695 | NONE | null | ### System Info
kaggle notebook
```
Libraries:
!pip install -Uqqq pip --progress-bar off
!pip install -qqq bitsandbytes==0.40.2 trl==0.4.7 --progress-bar off
!pip install -q torch==2.0.1+cu118 torchvision==0.15.2+cu118 torchaudio==2.0.2+cu118 torchtext==0.15.2 torchdata==0.6.1 --extra-index-url https://download... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_25478). All of your documentation changes will be reflected on that endpoint.",
"Feel free to ping me when you need a review! ",
"@ArthurZucker Hey! 👋 I think this is ready for your review. The tokenizer is quite similar... | 1,691 | 1,695 | 1,695 | CONTRIBUTOR | null | # What does this PR do?
Adds fast tokenizer support for `M2M100Tokenizer`. I also added a `convert_slow_tokenizer` config to support generating a tokenizer.json file. For example, the generated tokenizer files for [facebook/m2m100_418M](https://huggingface.co/facebook/m2m100_418M) can be found [here](https://hugging... | {
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https://api.github.com/repos/huggingface/transformers/issues/25477 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25477/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25477/comments | https://api.github.com/repos/huggingface/transformers/issues/25477/events | https://github.com/huggingface/transformers/issues/25477 | 1,848,376,144 | I_kwDOCUB6oc5uK_tQ | 25,477 | 倉庫 | {
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"The description is empty. Going to close."
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https://api.github.com/repos/huggingface/transformers/issues/25476 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25476/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25476/comments | https://api.github.com/repos/huggingface/transformers/issues/25476/events | https://github.com/huggingface/transformers/issues/25476 | 1,848,372,677 | I_kwDOCUB6oc5uK-3F | 25,476 | Some problems with XVector implementation | {
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"cc @sanchit-gandhi ",
"Hey @gau-nernst! Thanks for the great write-up and for the code references! \r\n\r\nGoing through your points one-by-one:\r\n1. **Statistical pooling is using for loops for batched computation:** would you like to open a PR to update this to use the attention mask as suggested? Think this ... | 1,691 | 1,704 | 1,704 | CONTRIBUTOR | null | ### System Info
NA
### Who can help?
@sanchi
### Information
- [ ] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or dataset (give details below)
### Reproduction
While working on #2547... | {
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https://api.github.com/repos/huggingface/transformers/issues/25475 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25475/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25475/comments | https://api.github.com/repos/huggingface/transformers/issues/25475/events | https://github.com/huggingface/transformers/issues/25475 | 1,848,318,610 | I_kwDOCUB6oc5uKxqS | 25,475 | free(): invalid pointer | {
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"There is nothing linked to the Transformers library in the reproducer you shared. Are you sure you are opening the issue in the right repo?",
"@sgugger No, I'm not sure. Is `ct2-transformers-converter` not part of Hugging Face's Transformers? [OpenNMT documentation](https://opennmt.net/CTranslate2/guides/transfo... | 1,691 | 1,691 | 1,691 | NONE | null | ### System Info
Copy-and-paste the text below in your GitHub issue and FILL OUT the two last points.
- `transformers` version: 4.32.0.dev0
- Platform: Linux-6.1.42-x86_64-AMD_Ryzen_Threadripper_2990WX_32-Core_Processor-with-glibc2.37
- Python version: 3.9.17
- Huggingface_hub version: 0.16.4
- Safetensors ver... | {
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https://api.github.com/repos/huggingface/transformers/issues/25474 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25474/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25474/comments | https://api.github.com/repos/huggingface/transformers/issues/25474/events | https://github.com/huggingface/transformers/pull/25474 | 1,848,180,435 | PR_kwDOCUB6oc5XzIkP | 25,474 | Add support for BLIP-2 multimodal feature extraction | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_25474). All of your documentation changes will be reflected on that endpoint.",
"cc @amyeroberts and @younesbelkada ",
"This issue has been automatically marked as stale because it has not had recent activity. If you thin... | 1,691 | 1,706 | null | CONTRIBUTOR | null | # What does this PR do?
This PR introduces the addition of `get_image_feature` and `get_text_feature` methods to the `Blip2ForConditionalGeneration` class. These changes align with the original Qformer implementation, which utilized both text and image inputs.
The current implementation in HuggingFace lacks suppo... | {
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"I tried to run this with colab notebook CPU and got same error but once I run it on T4 GPU no errors appeared and worked so I assume you can not use **load_in_8bit=True** on cpu device actually. you can still keep **device_map=\"cpu\"** but you should have GPU environment I guess. ",
"Yes `load_in_8bit` require... | 1,691 | 1,692 | 1,692 | NONE | null | ### System Info
There is an error stating that bitsandbytes and accelerate are required (even though the latest versions were already installed.
```
!pip install -q -U git+https://github.com/huggingface/accelerate.git
!pip install -q -U bitsandbytes
!pip install -q -U git+https://github.com/huggingface/transform... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,691 | 1,692 | 1,692 | CONTRIBUTOR | null | …ing for end_token
# What does this PR do?
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_25471). All of your documentation changes will be reflected on that endpoint.",
"@sanchit-gandhi How should I add a test checking for returned downsampled attention mask? Should it be under `Wav2Vec2ModelTest`? I'm not fami... | 1,691 | 1,708 | null | CONTRIBUTOR | null | # What does this PR do?
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"I found that I can Inherit the TextStreamer class and implement my own put() and end() methods for the functionality I need. But the general functionality for batch inference might still be useful for the community. ",
"cc @gante ",
"@AyushVachaspati Thank you for opening the issue 👍 \r\n\r\nWe want to add i... | 1,691 | 1,697 | 1,695 | NONE | null | ### Feature request
Hi,
I am working on implementing a service that receives inference requests form users and sends a stream of responses (Tokens as they are generated). The TextStreamer and TextIteratorStreamer classes are good options to do that.
https://huggingface.co/docs/transformers/v4.31.0/en/internal/gen... | {
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transformers → 4.18.0
datasets- → 2.14.4
tensorflow -->2.10.0
python --> 3.8.13
### Who can help?
text models: @ArthurZucker and @younesbelkada
### Information
- [X] The official example scripts
- [ ] My own modified scripts
### Tasks
- [x] An officially supported task in the `examples` folder... | {
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] | 1,691 | 1,691 | 1,691 | CONTRIBUTOR | null | Bumps [gitpython](https://github.com/gitpython-developers/GitPython) from 3.1.30 to 3.1.32.
<details>
<summary>Release notes</summary>
<p><em>Sourced from <a href="https://github.com/gitpython-developers/GitPython/releases">gitpython's releases</a>.</em></p>
<blockquote>
<h2>v3.1.32 - with another security update</h2>
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,691 | 1,691 | 1,691 | CONTRIBUTOR | null | Bumps [gitpython](https://github.com/gitpython-developers/GitPython) from 3.1.30 to 3.1.32.
<details>
<summary>Release notes</summary>
<p><em>Sourced from <a href="https://github.com/gitpython-developers/GitPython/releases">gitpython's releases</a>.</em></p>
<blockquote>
<h2>v3.1.32 - with another security update</h2>
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,691 | 1,691 | 1,691 | COLLABORATOR | null | Reverts huggingface/transformers#25445
The way to solve the whole huge cache issue is to enable cache sharing between PRs from different forked repositories, see [this doc](https://circleci.com/docs/caching/#caching-and-open-source).
If we decide to enable this (it's a dangerous take), then we can include the #25... | {
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https://api.github.com/repos/huggingface/transformers/issues/25465 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25465/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25465/comments | https://api.github.com/repos/huggingface/transformers/issues/25465/events | https://github.com/huggingface/transformers/issues/25465 | 1,847,034,662 | I_kwDOCUB6oc5uF4Mm | 25,465 | FeatureExtractionPipeline for Causal model gives unexpected results | {
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"This is entirely possible, and totally not necessarily a bug.\r\nkernels can vary based on tensor shapes for efficiency leading to small but existing differences.\r\nYou can just adding padding for longer and longer sequences you will observe the same.\r\n\r\nJust changing torch version can cause this too.\r\n\r\n... | 1,691 | 1,691 | 1,691 | NONE | null | Causal model embeddings should not depend on right tokens.
For example, the word `man` should have the same GPT2 embedding in these two sentences: `The man is successfull`, `The man has for sons and takes care of the house` because the left context is the same: `The`. However, when using the `FeatureExtractionPipel... | {
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https://api.github.com/repos/huggingface/transformers/issues/25464 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25464/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25464/comments | https://api.github.com/repos/huggingface/transformers/issues/25464/events | https://github.com/huggingface/transformers/pull/25464 | 1,846,959,134 | PR_kwDOCUB6oc5Xu9ie | 25,464 | Input data format | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,691 | 1,692 | 1,692 | COLLABORATOR | null | # What does this PR do?
Adds the `input_data_format` argument to all of the image processor methods.
This allows for passing in of images with an unusual number of channels, or ones where it's difficult to infer because of ambiguity e.g size (3, 3, 3).
This is an alternative to #24577
Fixes issues like:
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] | 1,691 | 1,691 | 1,691 | COLLABORATOR | null | # What does this PR do?
Handles two tests which semi-regularly fail on CI runs
`tests/utils/test_image_utils.py::LoadImageTester::test_load_img_url_timeout`
- Mark with an is_flaky decorator
`tests/models/wav2vec2/test_modeling_tf_wav2vec2.py::TFWav2Vec2ModelTest::test_labels_out_of_vocab`
- Already has an i... | {
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] | 1,691 | 1,691 | 1,691 | COLLABORATOR | null | # What does this PR do?
Adds `input_data_format` as optional argument to all image transforms. This enables users to explicitly set the format, rather than it being inferred, which can solve issues when it's ambiguous.
Once merged, image processors can then pass this along to allow for more robust processing - e... | {
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] | 1,691 | 1,691 | 1,691 | CONTRIBUTOR | null | # What does this PR do?
Fixes #25444
<!-- Remove if not applicable -->
## 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/CONTRI... | {
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"You can set a breakpoint at `loss = loss_fct(shift_logits.view(-1, shift_logits.size(-1)), shift_labels.v ` at see the shape of the inputs. Then you can trace back if necessary why the shape is being those values. It's likely an issue in the datasets.",
"This issue has been automatically marked as stale because ... | 1,691 | 1,695 | 1,695 | NONE | null | Hello there I'm attempting to train a GPT 2 model how to summarize passages without compromising their emotional impact. Consider summarizing a chapter from a book, but we want the reader to experience the same emotions as the chapter itself. I discovered a Kaggle dataset that includes Amazon's fine food reviews (`/kag... | {
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https://api.github.com/repos/huggingface/transformers/issues/25459 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25459/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25459/comments | https://api.github.com/repos/huggingface/transformers/issues/25459/events | https://github.com/huggingface/transformers/pull/25459 | 1,846,635,575 | PR_kwDOCUB6oc5Xt2yl | 25,459 | Marian: post-hack-fix correction | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,691 | 1,692 | 1,692 | MEMBER | null | # What does this PR do?
### Context
#25294 removes a Marian-only hack, where the `logits` of the `pad_token_id` were being set to `-inf` before the `logsoftmax`. This was perceived as safe to do, as `bad_word_ids` is set to the `pad_token_id` in Marian. `bad_word_ids` sets the scores (i.e. after `logsoftmax`) to `-... | {
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#25375 added a fix to beam sample + `num_return_sequences >1`, and had to tweak the corresponding tests. Switch Transformers had those tests overwritten, meaning its beam sample tests were not updated -- causing our slow CI to fail.
The cause for overwriting the tests was flakiness of the ... | {
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] | 1,691 | 1,692 | 1,692 | COLLABORATOR | null | # What does this PR do?
This continues the work of cleaning up the scripts used for quality checks, which comes with a couple of fixes mainly:
- the instructions for releases in the `setup.py` weren't necessarily up to date, so fixing those.
- the script that auto-generates the transformers metadata used by the Hu... | {
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https://api.github.com/repos/huggingface/transformers/issues/25455 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25455/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25455/comments | https://api.github.com/repos/huggingface/transformers/issues/25455/events | https://github.com/huggingface/transformers/issues/25455 | 1,846,510,194 | I_kwDOCUB6oc5uD4Jy | 25,455 | The length used by length_penalty during beam_search is not correct when input batch size > 1 | {
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"Hi @xiafan-su 👋 \r\n\r\nThis property is present in all length-related forms of processing. I understand (and agree) that considering the unpadded length would be better, but correcting this property would add significant complexity across the codebase. It is also simple to work around (avoid creating batches wit... | 1,691 | 1,697 | null | NONE | null | ### System Info
Python 3.9.2
transformers 4.30.2
### Who can help?
@gante
### Information
- [X] The official example scripts
- [X] My own modified scripts
### Tasks
- [X] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [x] My own task or dataset (give details below)
### Reprod... | {
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https://api.github.com/repos/huggingface/transformers/issues/25454 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25454/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25454/comments | https://api.github.com/repos/huggingface/transformers/issues/25454/events | https://github.com/huggingface/transformers/pull/25454 | 1,846,470,026 | PR_kwDOCUB6oc5XtSRx | 25,454 | Fix for #25437 | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,691 | 1,691 | 1,691 | COLLABORATOR | null | # What does this PR do?
We need to make some extra adjustment to make the code below in `.circleci/create_circleci_config.py` work
```python
if example_tests == "all":
job.tests_to_run = [f"examples/{framework}"]
```
This is also align with at the end of `utils/tests_fetcher.py`
```python
if com... | {
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https://api.github.com/repos/huggingface/transformers/issues/25453 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25453/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25453/comments | https://api.github.com/repos/huggingface/transformers/issues/25453/events | https://github.com/huggingface/transformers/issues/25453 | 1,846,162,423 | I_kwDOCUB6oc5uCjP3 | 25,453 | Why exist_ok=True is not supported in AutoConfig.register(model_type, config) | {
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"It's an oversight, feel free to open a PR to fix this!"
] | 1,691 | 1,693 | 1,693 | NONE | null | https://github.com/huggingface/transformers/blob/55db70c63de2c07b6ffe36f24c0e7df8f967e935/src/transformers/models/auto/configuration_auto.py#L1035C38-L1035C38
Here is my code:
```
···
from libs.models.custom_layoutlmv3 import LayoutLMv3Model
···
encoder_model_path = "/home/ana/data4/models/layoutlmv3-base... | {
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https://api.github.com/repos/huggingface/transformers/issues/25452 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25452/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25452/comments | https://api.github.com/repos/huggingface/transformers/issues/25452/events | https://github.com/huggingface/transformers/issues/25452 | 1,846,127,866 | I_kwDOCUB6oc5uCaz6 | 25,452 | Packing without cross-contamination | {
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"Also in #6661",
"Hi @ToddMorrill\r\n\r\nFor existing models, I am afraid that it's unlikely to make changes for this feature. If there are new models that support this natively in the original modeling code, that could be the case when that model is ported into `transformers`.",
"It’s a real bummer because it ... | 1,691 | 1,692 | 1,692 | NONE | null | ### Feature request
Is there something within Hugging Face that prevents latter subsequences from attending to earlier subsequences when you use packing? Is there a way to implement attention masking so that subsequences only attend to tokens within the subsequence within a packed example?
As it currently stands:
... | {
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"cc @amyeroberts for information. Please let us know when your PR is ready for review!",
"@amyeroberts Hey, I've actually started a new branch to port the model because in the branch from this PR, I've done `add-new-model-like` and then `swin`, but talking to @NielsRogge he mentioned that starting from `deformabl... | 1,691 | 1,694 | 1,694 | NONE | null | # What does this PR do?
This PR adds Grounding DINO
Fixes #25423
To-Do's:
- [x] Port vision backbone
- [x] Port Text backbone
- [ ] Port Feature Enhancer
- [ ] Port Cross-Modality Decoder | {
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https://api.github.com/repos/huggingface/transformers/issues/25450 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25450/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25450/comments | https://api.github.com/repos/huggingface/transformers/issues/25450/events | https://github.com/huggingface/transformers/pull/25450 | 1,845,737,111 | PR_kwDOCUB6oc5Xqz7o | 25,450 | Refactor image processor testers | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,691 | 1,691 | 1,691 | COLLABORATOR | null | # What does this PR do?
The tests for the image processors contained a lot of repeated logic. In particular, the logic to prepare inputs and for testing resulting outputs. Removing the class-specific logic and consolidating in the mixin should make add new image processor tests easier.
This PR:
* Moves `test_c... | {
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<!--
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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.
Then, please replace this w... | {
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https://api.github.com/repos/huggingface/transformers/issues/25448 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25448/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25448/comments | https://api.github.com/repos/huggingface/transformers/issues/25448/events | https://github.com/huggingface/transformers/issues/25448 | 1,845,689,737 | I_kwDOCUB6oc5uAv2J | 25,448 | Add `init_include_buffers` kwargs to `modeling_utils.from_pretrained` | {
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"Sadly the arguments we had to the main method of Transformers are limited to big use cases as we don;t want this method to get to 100 kwargs. For this it would be better to define an env variable in accelerate that would switch the default of `include_buffers` which would allow you to do this change without adding... | 1,691 | 1,691 | 1,691 | NONE | null | ### Feature request
There is a parameter for `init_empty_weights` context manager from `accelerate`, `include_buffers` which defines if buffers of nn.Module should be initialized as meta tensors during loading. I propose that we expose this param as a kwarg in `modeling_utils`.
### Motivation
The motivation is... | {
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https://api.github.com/repos/huggingface/transformers/issues/25447 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25447/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25447/comments | https://api.github.com/repos/huggingface/transformers/issues/25447/events | https://github.com/huggingface/transformers/pull/25447 | 1,845,639,747 | PR_kwDOCUB6oc5Xqens | 25,447 | Add Number Normalisation for SpeechT5 | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_25447). All of your documentation changes will be reflected on that endpoint.",
"cc @sanchit-gandhi ",
"@sanchit-gandhi I added a single test which tests all the covered cases. I also fixed an existing test in the `tests/... | 1,691 | 1,693 | 1,692 | CONTRIBUTOR | null | # What does this PR do?
This PR will add number normalisation for SpeechT5. Currently, SpeechT5 cannot read numbers, as described in #23480.
Fixes #23480
# Cases covered so far
- [x] Integer number normalisation
- [x] Floating point number normalisation
- [x] Currency normalisation
- [x] US Dollar `$`
- [... | {
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"Hey! \r\nThe weights were pushed as `float16` as this is what is used for `inference`. We are going to add a line mentioning that the training was done un `bfloat16` but there should not be issues with performances when training no. There is an issue with training in `float16` as it was reported here #25065, which... | 1,691 | 1,696 | 1,692 | NONE | null | ### System Info
- `transformers` version: 4.31.0
- Platform: Linux-5.15.0-60-generic-x86_64-with-glibc2.31
- Python version: 3.10.9
- Huggingface_hub version: 0.16.4
- Safetensors version: 0.3.2
- Accelerate version: 0.21.0
- Accelerate config: not found
- PyTorch version (GPU?): 2.0.1+cu118 (True)
- Tensor... | {
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https://api.github.com/repos/huggingface/transformers/issues/25445 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25445/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25445/comments | https://api.github.com/repos/huggingface/transformers/issues/25445/events | https://github.com/huggingface/transformers/pull/25445 | 1,845,598,720 | PR_kwDOCUB6oc5XqVqS | 25,445 | Reuse the cache created for latest `main` on PRs/branches if `setup.py` is not modified | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@sgugger FYI: I need to change 2 more places to make it work correctly for all cases. See my last 2 review comments.",
"Hi @sgugger \r\n\r\nI am afraid I have to revert this PR until we do something to enabling sharing cache (see b... | 1,691 | 1,691 | 1,691 | COLLABORATOR | null | # What does this PR do?
For a PR or a branch, if `setup.py` is not modified (compare to the common ancestor with the `main`), let's use cache that is created for the `setup.py` from the `latest` commit on the `main` branch.
**latest** means the latest one on `main` at the moment where a run is triggered.
Moti... | {
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https://api.github.com/repos/huggingface/transformers/issues/25444 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25444/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25444/comments | https://api.github.com/repos/huggingface/transformers/issues/25444/events | https://github.com/huggingface/transformers/issues/25444 | 1,845,533,289 | I_kwDOCUB6oc5uAJpp | 25,444 | Access to Transformers example Pytorch link broken . Impact on navigation as well | {
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"For the redirects, you will have to see with the datasets team on their repo :-)\r\nAs for Transformers, happy to look at a PR fixing the link!"
] | 1,691 | 1,691 | 1,691 | CONTRIBUTOR | null |
Hello there! 👋
## Context
Exploring Pytorch translation example
## Issue
There seems to be a broken link in Pytorch example in the Translation example, similar to what happened in #24497
https://github.com/huggingface/transformers/blob/347001237a8ff845fc23f678107fc505361f9f13/examples/pytorch/translation/r... | {
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"cc @SunMarc and @younesbelkada ",
"I am facing the same issue as well, anybody found a solution to this?",
"Thanks for reporting this issue @leejielong and @PansaLegrand . To solve this, please install the main branch of transformers `pip install git+https://github.com/huggingface/transformers.git`. I was able... | 1,691 | 1,692 | 1,692 | NONE | null | ### System Info
I use free google Colab with T4 GPU
### Who can help?
@ArthurZucker
### Information
- [X] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or dataset (give ... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"> Computing the encoder hidden states (i.e. the vision/perceiver hidden states in our case) inside the prepare... function seems curious to me.\r\n\r\nYes I'm not sure it is very standard. \r\nMaybe a more standard way to do it woul... | 1,691 | 1,692 | 1,692 | CONTRIBUTOR | null | Update Idefics generate-related functions to allow for precomputed image embeddings | {
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https://api.github.com/repos/huggingface/transformers/issues/25441 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25441/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25441/comments | https://api.github.com/repos/huggingface/transformers/issues/25441/events | https://github.com/huggingface/transformers/pull/25441 | 1,845,361,265 | PR_kwDOCUB6oc5XphwY | 25,441 | docs: add LLaMA-Efficient-Tuning to awesome-transformers | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_25441). All of your documentation changes will be reflected on that endpoint."
] | 1,691 | 1,694 | 1,691 | CONTRIBUTOR | null | # What does this PR do?
Kindly ask to add [LLaMA-Efficient-Tuning](https://github.com/hiyouga/LLaMA-Efficient-Tuning) to the list of awesome projects that has transformers support
## Who can review?
cc @sgugger
Anyone in the community is free to review the PR once the tests have passed. Feel free to tag
member... | {
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https://api.github.com/repos/huggingface/transformers/issues/25440 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25440/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25440/comments | https://api.github.com/repos/huggingface/transformers/issues/25440/events | https://github.com/huggingface/transformers/issues/25440 | 1,845,342,718 | I_kwDOCUB6oc5t_bH- | 25,440 | Lower Training performance after updating from 4.29.2 to 4.30.0+ | {
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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... | 1,691 | 1,699 | 1,699 | NONE | null | ### System Info
- `transformers` version: 4.29.2
- Platform: Linux-5.4.0-149-generic-x86_64-with-glibc2.31
- Python version: 3.10.10
- Huggingface_hub version: 0.14.1
- Safetensors version: 0.3.2
- PyTorch version (GPU?): 2.0.1+cu117 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GP... | {
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https://api.github.com/repos/huggingface/transformers/issues/25439 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25439/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25439/comments | https://api.github.com/repos/huggingface/transformers/issues/25439/events | https://github.com/huggingface/transformers/issues/25439 | 1,845,313,465 | I_kwDOCUB6oc5t_T-5 | 25,439 | Allow Loading Custom Model Names by Searching for Extension | {
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"In general `from_pretrained` is only intended to work with models saved with `save_pretrained`, not with other models, so this is not a feature we plan to add.",
"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... | 1,691 | 1,695 | 1,695 | NONE | null | ### Feature request
I propose that in the `from_pretrained`, instead of relying on a set of specific filenames, the loading function should search for the model by its file extension. By doing so, the model names can be more flexible, allowing users to name their custom models as they see fit without the need to confo... | {
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https://api.github.com/repos/huggingface/transformers/issues/25438 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25438/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25438/comments | https://api.github.com/repos/huggingface/transformers/issues/25438/events | https://github.com/huggingface/transformers/pull/25438 | 1,845,210,534 | PR_kwDOCUB6oc5XpArV | 25,438 | [ASR Pipeline] Fix init with timestamps | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Actually instead of moving parameter checking into logic of the pipeline, can we keep things inside `_sanitize_parameters` which is the proper location.\r\n\r\nMaybe there are better way to make `self.type` available before hitting `... | 1,691 | 1,692 | 1,692 | CONTRIBUTOR | null | # What does this PR do?
The PR #25344 added checks for the setting of `return_timestamps` in the method `sanitize_paramters` - this works when the argument `return_timestamps` is passed in the forward pass:
```python
from transformers import pipeline
import numpy as np
pipe = pipeline("automatic-speech-recogni... | {
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https://api.github.com/repos/huggingface/transformers/issues/25437 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25437/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25437/comments | https://api.github.com/repos/huggingface/transformers/issues/25437/events | https://github.com/huggingface/transformers/pull/25437 | 1,845,195,639 | PR_kwDOCUB6oc5Xo9aY | 25,437 | Add `examples` to tests to run when `setup.py` is modified | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,691 | 1,691 | 1,691 | COLLABORATOR | null | # What does this PR do?
#25095 modified `setup.py`, but `examples` job is not triggered, see [here](https://app.circleci.com/pipelines/github/huggingface/transformers/70003/workflows/9d952427-a622-429d-8ad1-155b4523048b)
We should include it, right? | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,691 | 1,691 | 1,691 | CONTRIBUTOR | null | # What does this PR do?
Modifies step ratios in the case of when `auto_find_batch_size` is used, otherwise it will still maintain the old ratio step (so if we went from 10% starting at 100 steps, at 1000 steps it would still try and evaluate at step 10 instead of step 100)
Fixes # (issue)
Solves #24248
#... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@sgugger can you give it one final look please 😄 "
] | 1,691 | 1,692 | 1,692 | CONTRIBUTOR | null | # What does this PR do?
This PR ensures that the `TrainingArguments` are a fully immutable dataclass after the `__post_init__` has been ran. We'll find that the tests suddenly fail now 😉 Should be merged after https://github.com/huggingface/transformers/pull/25390
## Before submitting
- [ ] This PR fixes a typo... | {
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https://api.github.com/repos/huggingface/transformers/issues/25434 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25434/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25434/comments | https://api.github.com/repos/huggingface/transformers/issues/25434/events | https://github.com/huggingface/transformers/issues/25434 | 1,845,000,936 | I_kwDOCUB6oc5t-Hro | 25,434 | Bug when re-initializing CUDA in forked subprocess | {
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"CC @SunMarc @younesbelkada, `transformers` may need a solution similar to what I had to do here: https://github.com/huggingface/accelerate/pull/1813",
"Sorry for the goose-chase, this is indeed accelerate: https://github.com/huggingface/accelerate/pull/1833"
] | 1,691 | 1,691 | 1,691 | NONE | null | ### System Info
```
- `transformers` version: 4.32.0.dev0
- Platform: Linux-5.10.178-162.673.amzn2.x86_64-x86_64-with-glibc2.26
- Python version: 3.10.10
- Huggingface_hub version: 0.16.4
- Safetensors version: 0.3.1
- Accelerate version: 0.22.0.dev0
- Accelerate config: not found
- PyTorch version (GPU?): ... | {
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https://api.github.com/repos/huggingface/transformers/issues/25433 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25433/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25433/comments | https://api.github.com/repos/huggingface/transformers/issues/25433/events | https://github.com/huggingface/transformers/pull/25433 | 1,844,952,733 | PR_kwDOCUB6oc5XoH5t | 25,433 | 🌐 [i18n-KO] Translated `perf_train_tpu_tf.md` to Korean | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_25433). All of your documentation changes will be reflected on that endpoint.",
"LGTM!",
"@0525hhgus May you please update the status to `Open` and tag our wonderful reviewers at Hugging Face? Thank you.",
"Documentatio... | 1,691 | 1,692 | 1,692 | CONTRIBUTOR | null | <!-- PR의 제목은 "🌐 [i18n-KO] Translated `<your_file>.md` to Korean" 으로 부탁드립니다 -->
# What does this PR do?
Translated the `perf_train_tpu_tf.md` file of the documentation to Korean.
Thank you in advance for your review!
(I closed https://github.com/huggingface/transformers/pull/24896 and opened a new one.)
Part ... | {
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https://api.github.com/repos/huggingface/transformers/issues/25432 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25432/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25432/comments | https://api.github.com/repos/huggingface/transformers/issues/25432/events | https://github.com/huggingface/transformers/pull/25432 | 1,844,947,805 | PR_kwDOCUB6oc5XoGz6 | 25,432 | Fix rendering for `torch.compile()` docs | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,691 | 1,691 | 1,691 | CONTRIBUTOR | null | These are the docs I've written previously, apparently I forgot to put a newline between table and header part so they're not being rendered: https://huggingface.co/docs/transformers/main/en/perf_torch_compile#reduce-overhead | {
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https://api.github.com/repos/huggingface/transformers/issues/25431 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25431/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25431/comments | https://api.github.com/repos/huggingface/transformers/issues/25431/events | https://github.com/huggingface/transformers/pull/25431 | 1,844,737,052 | PR_kwDOCUB6oc5XnYKf | 25,431 | [Time series Informer] fix dtype of cumsum | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,691 | 1,692 | 1,692 | CONTRIBUTOR | null | # What does this PR do?
Fix an issue when training Informer with FP16, the `cumsum` returns float32.
See report here: https://discuss.huggingface.co/t/how-to-train-on-multiple-gpus-the-informer-model-for-time-series-forecasting/48984/3 | {
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https://api.github.com/repos/huggingface/transformers/issues/25430 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25430/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25430/comments | https://api.github.com/repos/huggingface/transformers/issues/25430/events | https://github.com/huggingface/transformers/issues/25430 | 1,844,706,967 | I_kwDOCUB6oc5t8_6X | 25,430 | Potential security issue | {
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"You can report the security issue on huntr.dev, we monitor this website (cc @coyotte508 ).",
"Hey @sgugger I'm actually from huntr.dev; sorry for reaching we already have your email :) See you!",
"Ah ah, no problem!",
"Send it to security@huggingface :)"
] | 1,691 | 1,692 | 1,691 | NONE | null | Hello 👋
I run a security community that finds and fixes vulnerabilities in OSS. A researcher (@b3ef) has found a potential issue, which I would be eager to share with you.
Could you add a `SECURITY.md` file with an e-mail address for me to send further details to? GitHub [recommends](https://docs.github.com/en/code-... | {
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https://api.github.com/repos/huggingface/transformers/issues/25429 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25429/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25429/comments | https://api.github.com/repos/huggingface/transformers/issues/25429/events | https://github.com/huggingface/transformers/pull/25429 | 1,844,556,303 | PR_kwDOCUB6oc5XmxHk | 25,429 | [`NllbMoe`] Update code to properly support loss computation | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_25429). All of your documentation changes will be reflected on that endpoint."
] | 1,691 | 1,692 | 1,692 | COLLABORATOR | null | # What does this PR do?
The code works in `Switch` because we decided to only return none `None` outputs, but it makes more sens to return None when the layers is not sparse. Otherwise finding the index of the layer that produced this might be impossible.
fixes #24898
- TODO:
- [x] Update Switch Transformers co... | {
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https://api.github.com/repos/huggingface/transformers/issues/25428 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25428/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25428/comments | https://api.github.com/repos/huggingface/transformers/issues/25428/events | https://github.com/huggingface/transformers/issues/25428 | 1,844,514,402 | I_kwDOCUB6oc5t8Q5i | 25,428 | Images in "Efficient Inference on a Single GPU" don't load | {
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"cc @stevhliu and @MKhalusova ",
"I see that the images were not stored in a HF dataset and are likely taken from a third-party blog(?) https://s3.amazonaws.com/moonup/production/uploads/1659861207959-62441d1d9fdefb55a0b7d12c.png\r\nhttps://s3.amazonaws.com/moonup/production/uploads/1660567469965-62441d1d9fdefb55... | 1,691 | 1,692 | 1,692 | MEMBER | null | ### System Info
NA
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or dataset (give details below)
### Reproduction
In https://huggi... | {
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https://api.github.com/repos/huggingface/transformers/issues/25427 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25427/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25427/comments | https://api.github.com/repos/huggingface/transformers/issues/25427/events | https://github.com/huggingface/transformers/pull/25427 | 1,844,501,225 | PR_kwDOCUB6oc5XmlJd | 25,427 | [`SwitchTransformers`] Remove unused module | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,691 | 1,692 | 1,692 | COLLABORATOR | null | # What does this PR do?
Fixes #25347 | {
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https://api.github.com/repos/huggingface/transformers/issues/25426 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25426/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25426/comments | https://api.github.com/repos/huggingface/transformers/issues/25426/events | https://github.com/huggingface/transformers/issues/25426 | 1,844,368,991 | I_kwDOCUB6oc5t7tZf | 25,426 | InstructBlip generate function | {
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"Hey, the error you encountered is usually from trying to access an embedding with a value that is outside of range. You can move everything to CPU to make sure that the error is from there. I suspect that the `padding = True` is padding with the `[PAD]` token that has index `32000`, but the model.config has `pad_t... | 1,691 | 1,703 | null | NONE | null | ### System Info
I encountered the following error when using the generate function of the instructblip model to generate multiple samples in parallel:
```
/python3.9/site-packages/transformers/models/llama/modeling_llama.py", line 88, in forward
hidden_states = hidden_states * torch.rsqrt(variance + s... | {
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https://api.github.com/repos/huggingface/transformers/issues/25425 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25425/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25425/comments | https://api.github.com/repos/huggingface/transformers/issues/25425/events | https://github.com/huggingface/transformers/issues/25425 | 1,844,324,712 | I_kwDOCUB6oc5t7ilo | 25,425 | MBartForConditionalGeneration doesn't seem to be able to complete the task of filling mask. | {
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"Hey! It seems that the model you are trying to use was not trained on `zh_ZH` but `zh_CN`. Could you try to use this instead? (It might just be the token that need to be updated). \r\n\r\nFor the second script, I don't think you changed the `src_lang` of the `tokenizer` which is not Chinese by default.\r\nI got `[... | 1,691 | 1,707 | 1,697 | NONE | null | ### System Info
transformers version: 4.29.2
Platform: Linux ubt-4090 5.15.0-75-generic
Python version: 3.9.5
PyTorch version (GPU?): 1.12.1+cu113 (True)
Tensorflow version (GPU?): not installed (NA)
Using GPU in script?: Yes
Using distributed or parallel set-up in script?: No
### Who can help?
@ArthurZ... | {
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https://api.github.com/repos/huggingface/transformers/issues/25424 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25424/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25424/comments | https://api.github.com/repos/huggingface/transformers/issues/25424/events | https://github.com/huggingface/transformers/pull/25424 | 1,844,158,811 | PR_kwDOCUB6oc5XlcBy | 25,424 | [WIP] Adding Grounding DINO | {
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"I clearly did something wrong so I'll make a new branch and add a new PR"
] | 1,691 | 1,691 | 1,691 | NONE | null | # What does this PR do?
This PR adds Grounding DINO
Related to: #25423
To-do:
- [ ] Port vision backbone
- [ ] Port Text backbone
- [ ] Port Feature Enhancer
- [ ] Port Cross-Modality Decoder | {
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https://api.github.com/repos/huggingface/transformers/issues/25423 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25423/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25423/comments | https://api.github.com/repos/huggingface/transformers/issues/25423/events | https://github.com/huggingface/transformers/issues/25423 | 1,844,148,048 | I_kwDOCUB6oc5t63dQ | 25,423 | Add Grounding DINO | {
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"Hi @EduardoPach! will you be working on this or is this an issue I can claim and work on?",
"@chiral-carbon Hello, I'm already working on this issue. I'm going to create a pull request and attach here as a WIP",
"Add Grounding DINO #25424 ",
"Closed, PR due to an issue and I'm going to open another one.",
... | 1,691 | 1,691 | null | NONE | null | ### Model description
Grounding DINO is a zero-shot object detection developed by IDEA-Research presented in the paper
[Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection](https://arxiv.org/abs/2303.05499)
The model uses a Swin transformer and BERT as image and text backbones,... | {
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