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https://api.github.com/repos/huggingface/transformers/issues/24418 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24418/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24418/comments | https://api.github.com/repos/huggingface/transformers/issues/24418/events | https://github.com/huggingface/transformers/issues/24418 | 1,769,164,033 | I_kwDOCUB6oc5pc00B | 24,418 | Review added | {
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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... | 1,687 | 1,690 | 1,690 | NONE | null | ### Thank you for building **transformers**!
@AuroraCoboAguilera created a review titled:
*Hugging face, the accelerator to develop your own NLP*
on [repo-reviews.github.io](https://repo-reviews.github.io) to share their experience using **transformers**.
[link to review](https://repo-reviews.github.io//rev... | {
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https://api.github.com/repos/huggingface/transformers/issues/24417 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24417/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24417/comments | https://api.github.com/repos/huggingface/transformers/issues/24417/events | https://github.com/huggingface/transformers/pull/24417 | 1,769,121,791 | PR_kwDOCUB6oc5ToHMm | 24,417 | Skip `test_conditional_generation_pt_pix2struct` in Past CI (torch < 1.11) | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,687 | 1,687 | 1,687 | COLLABORATOR | null | # What does this PR do?
Same as in #24270, but for a test inside pipeline test in `ImageToTextPipelineTests`. | {
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https://api.github.com/repos/huggingface/transformers/issues/24416 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24416/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24416/comments | https://api.github.com/repos/huggingface/transformers/issues/24416/events | https://github.com/huggingface/transformers/pull/24416 | 1,769,058,737 | PR_kwDOCUB6oc5Tn5bb | 24,416 | [`bnb`] Fix bnb serialization issue with new release | {
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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_24416). All of your documentation changes will be reflected on that endpoint."
] | 1,687 | 1,687 | 1,687 | CONTRIBUTOR | null | # What does this PR do?
Fixes the failing bnb tests in: https://github.com/huggingface/transformers/actions/runs/5329457026/jobs/9655258851
The recent release of bitsandbytes slightly broke the serialization mechanism for int8 models. In the new release, bitsandbytes has introduced a new way of serializing int8 w... | {
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https://api.github.com/repos/huggingface/transformers/issues/24415 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24415/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24415/comments | https://api.github.com/repos/huggingface/transformers/issues/24415/events | https://github.com/huggingface/transformers/pull/24415 | 1,768,989,268 | PR_kwDOCUB6oc5TnqSi | 24,415 | fix the grad_acc issue at epoch boundaries | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"I believe this PR also fixes #24245",
"@amyeroberts we coordinate Accelerate releases to be a day or two before `transformers`, so there shouldn't be an issue there :) \r\n\r\n(Though @pacman100 we should do the version check like ... | 1,687 | 1,687 | 1,687 | CONTRIBUTOR | null | # What does this PR do?
Should solve accumulating via epoch when using Accelerate (seen in https://github.com/huggingface/transformers/issues/23935#issuecomment-1588134562). Requires https://github.com/huggingface/accelerate/pull/1624
Fixes # (issue) | {
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https://api.github.com/repos/huggingface/transformers/issues/24414 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24414/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24414/comments | https://api.github.com/repos/huggingface/transformers/issues/24414/events | https://github.com/huggingface/transformers/issues/24414 | 1,768,977,236 | I_kwDOCUB6oc5pcHNU | 24,414 | Trouble fine-tuning zero-shot image classification model | {
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"Hi @moon001light, thanks for raising this issue.\r\n\r\nModels that can be loaded with the `AutoXxx` API will have a shared input and output structure. In the example notebook, the model is loaded using `AutoModelForImageClassification`. Models loaded with `AutoModelForZeroShotImageClassification` have a different... | 1,687 | 1,691 | 1,691 | NONE | null | ### System Info
transformers 4.30.2
python 3.11.4
### Who can help?
@amyeroberts @sgugger
### 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, ...)
- [ ] My own task or dataset (give details b... | {
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https://api.github.com/repos/huggingface/transformers/issues/24413 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24413/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24413/comments | https://api.github.com/repos/huggingface/transformers/issues/24413/events | https://github.com/huggingface/transformers/pull/24413 | 1,768,891,339 | PR_kwDOCUB6oc5TnVML | 24,413 | Create Pretrained module | {
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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.
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https://api.github.com/repos/huggingface/transformers/issues/24412 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24412/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24412/comments | https://api.github.com/repos/huggingface/transformers/issues/24412/events | https://github.com/huggingface/transformers/pull/24412 | 1,768,846,875 | PR_kwDOCUB6oc5TnL29 | 24,412 | Removed @torch.no_grad() and in-place operations in optimizers for backwards | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"I consider this pull request is insufficient because tests have failed.\r\nI welcome comments on the fix!",
"Transformers is primarily a library of models, not optimizers. I would recommend not using the AdamW/Adafactor from the li... | 1,687 | 1,687 | 1,687 | CONTRIBUTOR | null | # What does this PR do?
In #23417, two``@torch.no_grad()`` lines were added before
```python
def step(self, closure: Callable = None):
```
in class `AdamW` and `Adafactor`.
However, I think this should not be because this causes errors in backward.
Other optimizers in Pytorch have ``@_use_grad_for_d... | {
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https://api.github.com/repos/huggingface/transformers/issues/24411 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24411/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24411/comments | https://api.github.com/repos/huggingface/transformers/issues/24411/events | https://github.com/huggingface/transformers/issues/24411 | 1,768,666,636 | I_kwDOCUB6oc5pa7YM | 24,411 | GPTJForCausalLM with instruction provided on tutorial doesn't load on 4090 | {
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"Hi @km5ar \r\nThanks for the issue\r\n\r\nThis is because google colab instances have a relatively low CPU RAM (<24GB) and the GPT-J model stored on the Hub at `EleutherAI/gpt-j-6b` are actually in float32 (24GB). Therefore from_pretrained will try to download that large file and crashed. Moreover, for large model... | 1,687 | 1,687 | 1,687 | NONE | null | ### System Info
GPU 4090
- `transformers` version: 4.30.2
- Platform: Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.35
- Python version: 3.9.16
- Huggingface_hub version: 0.15.1
- Safetensors version: 0.3.1
- PyTorch version (GPU?): GPU 2.0.1+cu117 (True)
- Using GPU in script?: <4090>
- Using ... | {
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https://api.github.com/repos/huggingface/transformers/issues/24410 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24410/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24410/comments | https://api.github.com/repos/huggingface/transformers/issues/24410/events | https://github.com/huggingface/transformers/issues/24410 | 1,768,659,684 | I_kwDOCUB6oc5pa5rk | 24,410 | Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cuda:3! | {
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"You cannot use `device_map=\"auto\"` with the `to` method afterward as you do. The model will be split up on the GPUs already.\r\nAlso, how are you launching your training script after?",
"Getting the same error when i remove the `to` method. Traceback given below. Also, I launch the training script using `CUDA_... | 1,687 | 1,700 | 1,688 | NONE | null | ### System Info
- `transformers` version: 4.29.2
- Platform: Linux-5.4.0-137-generic-x86_64-with-glibc2.31
- Python version: 3.11.4
- Huggingface_hub version: 0.15.1
- Safetensors version: 0.3.1
- PyTorch version (GPU?): 2.0.1 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?... | {
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https://api.github.com/repos/huggingface/transformers/issues/24409 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24409/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24409/comments | https://api.github.com/repos/huggingface/transformers/issues/24409/events | https://github.com/huggingface/transformers/issues/24409 | 1,768,337,059 | I_kwDOCUB6oc5pZq6j | 24,409 | wandb metric argument is weird | {
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"Thanks @edmcman for the ping.\r\n\r\n@ayulockin @morganmcg1 in case this is relevant to the integrations team. tbh, I don't remember much about this integration but I implemented it so happy to help in case there's a blocker.",
"Thanks for the detailed issue @edmcman; we are taking a look at this. Will connect w... | 1,687 | 1,708 | null | NONE | null | ### System Info
- `transformers` version: 4.30.2
- Platform: Linux-5.7.19-050719-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?... | {
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https://api.github.com/repos/huggingface/transformers/issues/24408 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24408/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24408/comments | https://api.github.com/repos/huggingface/transformers/issues/24408/events | https://github.com/huggingface/transformers/pull/24408 | 1,768,040,493 | PR_kwDOCUB6oc5Tkicz | 24,408 | [WIP] Add Restormer | {
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"cc @amyeroberts for information.",
"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/tra... | 1,687 | 1,690 | 1,690 | CONTRIBUTOR | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/24407 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24407/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24407/comments | https://api.github.com/repos/huggingface/transformers/issues/24407/events | https://github.com/huggingface/transformers/pull/24407 | 1,767,996,485 | PR_kwDOCUB6oc5TkaOv | 24,407 | 🚨🚨 Fix group beam search | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"## Summary of the problem and corresponding fix (for the core maintainer and our future selves)\r\n\r\n### Problem\r\nThe generation loop in `group_beam_search` is correct, and it builds `num_beam_groups` distinct groups of sequences... | 1,687 | 1,688 | 1,687 | CONTRIBUTOR | null | # What does this PR do?
Diverse beam search is a method that generates `num_beams//num_beam_groups` sentences for each group independently. However, the current code uses one BeamHypotheses shared by all groups. Therefore, group A will generate two sentences before group B outputs a sentence. So, I created BeamHypot... | {
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"cc @ArthurZucker and @younesbelkada ",
"Hi @TOP-RX \r\nCan you try to add the `torch.cuda_empty_cache()` before `\"final\"`? Also you might need to combine it with \r\n```python\r\nimport gc\r\n\r\ngc.collect()\r\n```\r\nAfter that call. See this comment from a previous issue for reference: https://github.com/hu... | 1,687 | 1,690 | 1,690 | NONE | null | ### System Info
transformer: 4.24.0
python: 3.8.13
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [X] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [X] My own task or dataset (give details below)
#... | {
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https://api.github.com/repos/huggingface/transformers/issues/24405 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24405/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24405/comments | https://api.github.com/repos/huggingface/transformers/issues/24405/events | https://github.com/huggingface/transformers/pull/24405 | 1,767,811,650 | PR_kwDOCUB6oc5TjyiF | 24,405 | Fix accumulation by epoch with Accelerate | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Solved the problem for me with small naming fix in trainer.py:\r\n```python\r\n accumulation_plugin = GradientAccumulationPlugin(\r\n num_steps=self.args.gradient_accumulation_steps, sync_with_dataloader=False\r\n ... | 1,687 | 1,687 | 1,687 | CONTRIBUTOR | null | # What does this PR do?
Should solve accumulating via epoch when using Accelerate (seen in https://github.com/huggingface/transformers/issues/23935#issuecomment-1588134562). Requires https://github.com/huggingface/accelerate/pull/1624
Fixes # (issue)
## Before submitting
- [ ] This PR fixes a typo or improv... | {
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https://api.github.com/repos/huggingface/transformers/issues/24404 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24404/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24404/comments | https://api.github.com/repos/huggingface/transformers/issues/24404/events | https://github.com/huggingface/transformers/pull/24404 | 1,767,708,853 | PR_kwDOCUB6oc5Tjbys | 24,404 | TF safetensors reduced mem usage | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"This looks good in my testing! cc @Narsil for review and @amyeroberts for core maintainer review to save Sylvain from having to read code while he's distracted by the hallucinatory dental anaesthetic goblins \r\n\r\nTo explain one de... | 1,687 | 1,687 | 1,687 | MEMBER | null | When we load safetensors files in TF, the entire safetensors state dict is materialized on GPU alongside the randomly initialized weights. This inflates our memory usage during loading a lot, up to about 2X - 2.5X the amount we actually need.
This PR grabs tensors iteratively from the underlying safetensors archives... | {
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https://api.github.com/repos/huggingface/transformers/issues/24403 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24403/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24403/comments | https://api.github.com/repos/huggingface/transformers/issues/24403/events | https://github.com/huggingface/transformers/pull/24403 | 1,767,681,243 | PR_kwDOCUB6oc5TjVrq | 24,403 | Update activations.py with nn.GELU | {
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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... | 1,687 | 1,690 | 1,690 | NONE | null | use nn.GELU
# What does this PR do?
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] | 1,687 | 1,687 | 1,687 | CONTRIBUTOR | null | # What does this PR do?
Cleans up the `torch.distributed.X` imports in `training_args` to use the already imported `dist` module, which helps clean up our logic and cases quite a bit.
Fixes # (issue)
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if th... | {
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https://api.github.com/repos/huggingface/transformers/issues/24401 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24401/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24401/comments | https://api.github.com/repos/huggingface/transformers/issues/24401/events | https://github.com/huggingface/transformers/pull/24401 | 1,767,648,328 | PR_kwDOCUB6oc5TjOcK | 24,401 | Remove redundant code from TrainingArgs | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,687 | 1,687 | 1,687 | CONTRIBUTOR | null | # What does this PR do?
Removes some more redundant code that Accelerate can handle directly. Namely:
- World size
- Process index
- `main_process_first`
Fixes # (issue)
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Di... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,687 | 1,687 | 1,687 | COLLABORATOR | null | # What does this PR do?
As shown in #24364, we easily forget to add model mappings like `TF_MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING` to some `__init__` files.
Let's add a check to avoid and could detect such issues as early as possible.
Along this new check, also add some missing mappings to `__init__` files. | {
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https://api.github.com/repos/huggingface/transformers/issues/24399 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24399/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24399/comments | https://api.github.com/repos/huggingface/transformers/issues/24399/events | https://github.com/huggingface/transformers/pull/24399 | 1,767,146,412 | PR_kwDOCUB6oc5Thgfo | 24,399 | byebye Hub connection timeout - Recast | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,687 | 1,687 | 1,687 | COLLABORATOR | null | # What does this PR do?
It's a bit hard to break up with timeout failure, but @Wauplin was working on it to have 60 seconds instead
https://github.com/huggingface/huggingface_hub/pull/1523
We need to change the commit hash to that one in our CircleCI job though. | {
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https://api.github.com/repos/huggingface/transformers/issues/24398 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24398/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24398/comments | https://api.github.com/repos/huggingface/transformers/issues/24398/events | https://github.com/huggingface/transformers/pull/24398 | 1,767,105,979 | PR_kwDOCUB6oc5ThXf1 | 24,398 | feat: add support for protobuf 4 | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"As you can see from all the red crosses above, this sadly requires more work than just unpinning protobuf.",
"@sgugger yes, thanks for taking the time to pointing that out. Currently trying to identify the scope of needed changes a... | 1,687 | 1,687 | 1,687 | CONTRIBUTOR | null |
# What does this PR do?
add support for protobuf 4
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https://api.github.com/repos/huggingface/transformers/issues/24397 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24397/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24397/comments | https://api.github.com/repos/huggingface/transformers/issues/24397/events | https://github.com/huggingface/transformers/pull/24397 | 1,767,096,326 | PR_kwDOCUB6oc5ThVay | 24,397 | Add `ffmpeg` for `doc_test_job` on CircleCI | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,687 | 1,687 | 1,687 | COLLABORATOR | null | # What does this PR do?
Need this at least for `docs/source/en/task_summary.md`.
Otherwise, [job](https://app.circleci.com/pipelines/github/huggingface/transformers/66845/workflows/ae6bcd25-5071-4f48-a9ba-d446ae6e060f/jobs/833148) fails | {
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https://api.github.com/repos/huggingface/transformers/issues/24396 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24396/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24396/comments | https://api.github.com/repos/huggingface/transformers/issues/24396/events | https://github.com/huggingface/transformers/pull/24396 | 1,766,976,918 | PR_kwDOCUB6oc5Tg7HR | 24,396 | [`pipeline`] Fix str device issue | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Also \r\n\r\n```\r\npython -c 'from transformers import pipeline; pipe = pipeline(model=\"gpt2\", device=\"cuda\")'\r\n```\r\n\r\nWorks on `main`.. So I'm not sure what's the issue\r\n",
"@Narsil what you shared works on main but i... | 1,687 | 1,687 | 1,687 | CONTRIBUTOR | null | # What does this PR do?
Addresses: https://github.com/huggingface/transformers/pull/24140#issuecomment-1584617146
Currently passing `device="cuda"` is not supported when creating a pipeline.
This is because `torch.cuda.set_device(self.device)` expects the device to have an explicit index. The fix is to create ... | {
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https://api.github.com/repos/huggingface/transformers/issues/24395 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24395/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24395/comments | https://api.github.com/repos/huggingface/transformers/issues/24395/events | https://github.com/huggingface/transformers/issues/24395 | 1,766,907,749 | I_kwDOCUB6oc5pUN9l | 24,395 | load_in_4bit seems dosen't work as experted which actually increase GPU memory usage when using zero3 via accelerate | {
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"Hello, QLoRA and DeepSpeed can't be used together. DeepSpeed doesn't work with quantized parameters.",
"> Hello, QLoRA and DeepSpeed can't be used together. DeepSpeed doesn't work with quantized parameters.\r\n\r\nis that means I can't do zero optimization while using qlora, at least for now? ddp is the only pa... | 1,687 | 1,690 | 1,690 | NONE | null | ### System Info
transformers==4.31.0
deepspeed==0.9.2
peft==0.4.0
bitsandbytes==0.39.0
torch==1.13.0
CUDA Version 11.8
GPUS 8x A100 80gb
### Who can help?
@pacman100
### Information
- [ ] The official example scripts
- [X] My own modified scripts
### Tasks
- [ ] An officially supported task in the `example... | {
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https://api.github.com/repos/huggingface/transformers/issues/24394 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24394/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24394/comments | https://api.github.com/repos/huggingface/transformers/issues/24394/events | https://github.com/huggingface/transformers/pull/24394 | 1,766,661,521 | PR_kwDOCUB6oc5Tf-of | 24,394 | [WIP] Add SPTSv2 | {
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"cc @alaradirik for information. Please let us know when your model is ready for review or if you need any help :-)",
"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 t... | 1,687 | 1,690 | 1,690 | NONE | null | # What does this PR do?
This PR adds SPTSv2. Per the docs, I am opening this PR immediately after generating the boilerplate.
Fixes #24235
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https://api.github.com/repos/huggingface/transformers/issues/24393 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24393/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24393/comments | https://api.github.com/repos/huggingface/transformers/issues/24393/events | https://github.com/huggingface/transformers/issues/24393 | 1,766,652,619 | I_kwDOCUB6oc5pTPrL | 24,393 | Increased peak memory usage when upgrading to `transformers` v4.30 and inclusion of `safetensors` | {
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"Hey @mariecwhite 👋 \r\n\r\nThe script you shared with us is quite large -- any chance you could help us narrow it down? Ideally, we'd start from a short stand-alone script, unless we are unable to reproduce the issue :)\r\n\r\nBTW, my immediate suspicion goes towards the `.from_pretrained()` function, as (de)seri... | 1,687 | 1,687 | 1,687 | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.30.2
- Platform: Linux-5.19.0-1022-gcp-x86_64-with-glibc2.35
- Python version: 3.10.6
- Huggingface_hub version: 0.15.1
- Safetensors version: 0.3.1
- PyTorch version (GPU?): not installed (NA)
- Tensorflow version (GPU?): 2.12.0 (True)
- Flax version (CPU?/GPU?/TPU?)... | {
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"I don't have a lot of time to review this atm.\r\n\r\n@amyeroberts Do you know someone that could ?\r\n\r\nOverall I'm hesitant to think it's a good idea. Maintenance is much higher for those `ChunkPipeline` and splitting a document into bits is relatively easy to do outside of the pipeline.\r\nThe merge strategie... | 1,687 | 1,696 | null | CONTRIBUTOR | null | ### Problem
Running a `TextClassificationPipeline` on a text with more tokens than its model's maximum position embeddings (e.g. 512 for BERT) like so:
```python
from transformers import pipeline
classifier = pipeline('sentiment-analysis')
classifier("Hello, world! " * 1000)
```
will lead to this error:
... | {
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"@jinmang2 can you provide the example code you ran? Would be an excellent way for us to write a test-case around it :)",
"@muellerzr sure!\r\n\r\n### dialogue state tracking results (my own code)\r\n- colab link: https://colab.research.google.com/drive/1afT8O5OrUaTaZ07xvi_3AMW07P2nnRuC?usp=sharing\r\n- code lin... | 1,687 | 1,688 | 1,688 | NONE | null | ### System Info
- `transformers` version: 4.31.0.dev0
- Platform: Linux-5.15.107+-x86_64-with-glibc2.31
- Python version: 3.10.12
- Huggingface_hub version: 0.15.1
- Safetensors version: 0.3.1
- PyTorch version (GPU?): 2.0.1+cu118 (True)
- Tensorflow version (GPU?): 2.12.0 (True)
- Flax version (CPU?/GPU?/TPU... | {
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"cc @kashif ",
"While waiting our expert @kashif , the code in \r\n\r\n```python\r\n if config.num_static_categorical_features > 0:\r\n self.embedder = AutoformerFeatureEmbedder(\r\n cardinalities=config.cardinality, embedding_dims=config.embedding_dimension\r\n )\r\n``... | 1,687 | 1,690 | 1,690 | NONE | null | ### System Info
Darwin Kernel Version 22.4.0: Mon Mar 6 21:00:41 PST 2023; root:xnu-8796.101.5~3/RELEASE_ARM64_T8103
### Who can help?
@ydshieh
### Information
- [ ] The official example scripts
- [X] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/S... | {
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"cc @muellerzr and @pacman100 ",
"_The documentation is not available anymore as the PR was closed or merged._",
"Thank you @cowanmeg for the fix!"
] | 1,687 | 1,687 | 1,687 | CONTRIBUTOR | null | # What does this PR do?
Update optimizer step for TPUs to user `self.optimizer.step()` instead of `xm.optimizer_step(self.optimizer)`.
AcceleratedOptimizer properly calls `xm.optimizer_step` on the optimizer (https://github.com/huggingface/accelerate/blob/main/src/accelerate/optimizer.py#L129).
This fixes a bug ... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,687 | 1,687 | 1,687 | MEMBER | null | Fixes the broken links raised in #24382. | {
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"@sgugger please take a look.",
"_The documentation is not available anymore as the PR was closed or merged._",
"A test (I believe unrelated to the change) timed out https://app.circleci.com/pipelines/github/huggingface/transformers/66846/workflows/ae63fb76-7260-490e-8301-7c6cf986e693/jobs/833163",
"Yes it's ... | 1,687 | 1,687 | 1,687 | CONTRIBUTOR | null | ` torch.ger` was deprecated long time ago and `torch.outer` is a direct replacement: https://pytorch.org/docs/stable/generated/torch.ger.html | {
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"Hi @YichiRockyZhang \r\nThanks for the issue, looking at your environment (transformers == 4.13.0) I would probably give it a try with on of the newest version of transformers. It seems the config didn't saved properly the model identifier for some reason. Would it be possible to use a recent version of the lib fo... | 1,687 | 1,690 | 1,690 | NONE | null | ### System Info
Python 3.9.16
Transformers 4.13.0
WSL
### Who can help?
@ArthurZucker @younesbelkada @shamanez
### Information
- [X] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [X] My own task or da... | {
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https://api.github.com/repos/huggingface/transformers/issues/24385 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24385/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24385/comments | https://api.github.com/repos/huggingface/transformers/issues/24385/events | https://github.com/huggingface/transformers/issues/24385 | 1,766,135,653 | I_kwDOCUB6oc5pRRdl | 24,385 | How to unwrap after auto_wrap in FSDP? | {
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"This is more a question for the PyTorch forums as it's purely related to FSDP. Still cc-ing @pacman100 in case he has any idea.",
"Hello, as Sylvain mentioned this question is for the PyTorch forums. `summon_full_params` usage can be found in these tests: https://github.com/pytorch/pytorch/blob/main/test/distrib... | 1,687 | 1,690 | 1,690 | NONE | null | I am currently fine-tuning a LLM (LLaMA) and would like to retrieve the gradients of each weight (parameter) after every gradient update. However, I notice that weights are (auto) wrapped into stuff like “_fsdp_wrapped_module._flat_param” during training. I need to map these wrapped weights to the original LLaMA archit... | {
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https://api.github.com/repos/huggingface/transformers/issues/24384 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24384/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24384/comments | https://api.github.com/repos/huggingface/transformers/issues/24384/events | https://github.com/huggingface/transformers/pull/24384 | 1,766,129,169 | PR_kwDOCUB6oc5TeeWV | 24,384 | Refactor hyperparameter search backends | {
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"> Using abstract classes like this is not really the way the Transformers library is designed\r\n\r\nThat's fine, I was very unsure which approach to take. `abc` offers additional safety and IDE assistance as the standard way to ensure that all abstract methods are implemented, but it's probably overkill here and ... | 1,687 | 1,687 | 1,687 | CONTRIBUTOR | null | Fixes https://github.com/huggingface/transformers/issues/24379
The goal here is to clearly group the essential info/functionality about each backend together to make reading/changing things easier. For example if another backend integration is added it should be less likely for something to be forgotten as apparentl... | {
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https://api.github.com/repos/huggingface/transformers/issues/24383 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24383/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24383/comments | https://api.github.com/repos/huggingface/transformers/issues/24383/events | https://github.com/huggingface/transformers/issues/24383 | 1,766,078,398 | I_kwDOCUB6oc5pRDe- | 24,383 | How BERT 512 limit works? | {
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"Please use the [forums](https://discuss.huggingface.co/) for such questions. You did not pass your input the model, just the tokenizer.",
"sure! I will take care of that. I am little new to this. Thanks for info"
] | 1,687 | 1,687 | 1,687 | NONE | null | ### System Info
I passed a long text of 3000 tokens and it did not give me any error. Does BERT not have 512 token limit? Why it is not giving any error? This is the code I used. You can pass any input with tokens more than 512
### Who can help?
_No response_
### Information
- [X] The official example scripts
- [X... | {
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https://api.github.com/repos/huggingface/transformers/issues/24381 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24381/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24381/comments | https://api.github.com/repos/huggingface/transformers/issues/24381/events | https://github.com/huggingface/transformers/pull/24381 | 1,765,835,534 | PR_kwDOCUB6oc5TdgQ1 | 24,381 | fixing layer indexing error when pipeline parallel > 1 | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_24381). All of your documentation changes will be reflected on that endpoint."
] | 1,687 | 1,687 | 1,687 | CONTRIBUTOR | null | when applying pipeline parallel, the index of layers converted from transformers to megatron is wrong since there is not offset applied successfully.
For example, if having 4 layers, and pipeline parallel is 2, we want to the result looks like `layers.0 + layers.1` and `layers.2 + layers.3`, but now the result is `la... | {
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https://api.github.com/repos/huggingface/transformers/issues/24380 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24380/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24380/comments | https://api.github.com/repos/huggingface/transformers/issues/24380/events | https://github.com/huggingface/transformers/issues/24380 | 1,765,798,908 | I_kwDOCUB6oc5pP_P8 | 24,380 | WavLM error when running forward | {
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"I think there's a small typo with your codesnippet:\r\n```diff\r\n- input = fe(audio, return_tensor=\"pt\")\r\n+ input = fe(audio, return_tensors=\"pt\")\r\n```\r\n\r\nE.g. running the following works for me:\r\n```python\r\nfrom transformers import AutoModel, AutoFeatureExtractor\r\nimport torch\r\nimport numpy a... | 1,687 | 1,690 | 1,690 | CONTRIBUTOR | null | ### System Info
**Relevant Libraries**
transformers==4.26.1
torchaudio==2.0.2
torch==2.0.1
OS: Ubuntu 20.04
### Who can help?
@sanchit-gandhi
### Information
- [ ] The official example scripts
- [X] My own modified scripts
### Tasks
- [X] An officially supported task in the `examples` folde... | {
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https://api.github.com/repos/huggingface/transformers/issues/24379 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24379/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24379/comments | https://api.github.com/repos/huggingface/transformers/issues/24379/events | https://github.com/huggingface/transformers/issues/24379 | 1,765,783,928 | I_kwDOCUB6oc5pP7l4 | 24,379 | `Trainer.hyperparameter_search` doesn't document `wandb` or offer it as a default backend | {
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"Those are all integrations maintained by the authors of those libraries, we do not maintain them ourselves. It might be a bug, but it's up to the wandb folks to fix it in this case :-) ",
"Even the glue code in `trainer.py` that ties the various backends together?\r\n\r\nWould you accept a PR to refactor this st... | 1,687 | 1,687 | 1,687 | CONTRIBUTOR | null | `Trainer.hyperparameter_search` seems to prioritise the `optuna/ray/sigopt` backends, while `wandb` almost seems like a second-class citizen in the code. Specifically, the docstring explicitly mentions the first three backends multiple times in different contexts but not `wandb`, and `default_hp_search_backend` won't r... | {
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https://api.github.com/repos/huggingface/transformers/issues/24382 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24382/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24382/comments | https://api.github.com/repos/huggingface/transformers/issues/24382/events | https://github.com/huggingface/transformers/issues/24382 | 1,765,922,167 | I_kwDOCUB6oc5pQdV3 | 24,382 | Some links in NLLB page are broken. | {
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"cc @stevhliu ",
"Doc in version 4.30.0 still has problems, not only the doc section but other links :( @stevhliu ",
"The fix is on main, so it will only be reflected on the main version of the documentation. And if you have found other links to fix, please do tell us or open directly PRs to fix them :-)"
] | 1,687 | 1,687 | 1,687 | NONE | null | **Is your feature request related to a problem? Please describe.**
A clear and concise description of what the problem is. Ex. I'm always frustrated when [...]
**Describe the solution you'd like**
A clear and concise description of what you want to happen.
**Describe alternatives you've considered**
A clear an... | {
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https://api.github.com/repos/huggingface/transformers/issues/24378 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24378/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24378/comments | https://api.github.com/repos/huggingface/transformers/issues/24378/events | https://github.com/huggingface/transformers/pull/24378 | 1,765,743,865 | PR_kwDOCUB6oc5TdNIy | 24,378 | Skip a tapas (tokenization) test in past CI | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_24378). All of your documentation changes will be reflected on that endpoint."
] | 1,687 | 1,687 | 1,687 | COLLABORATOR | null | # What does this PR do?
Same as in #24251 where 1 test (from the tokenization test file) is missed. | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,687 | 1,687 | 1,687 | COLLABORATOR | null | # What does this PR do?
In #24364, `pix2struct` test file didn't get `pipeline_model_mapping` being updated, due to the `heuristic` of finding a test class not working well (try to find the shortest test class name).
Let's try to give the test class a better/short/clear name, (despite we don't really have a base ... | {
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"I'd add a :warning: emoji as a prefix for the disclaimer, but other than that it looks good to me!",
"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,687 | 1,687 | 1,687 | COLLABORATOR | null | # What does this PR do?
The new UI in GitHub makes MDX pretty hard to read for diffs, so this PR migrates the doc files from mdx to md. This shouldn't break anything in the doc-builder. | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_24375). All of your documentation changes will be reflected on that endpoint.",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please... | 1,687 | 1,690 | 1,690 | MEMBER | null | This is an autoconversion of the LLaMA code to TF by GPT-4. As always, expect things to be broken until I finish debugging it!
TODO list:
- [ ] Get tests to pass
- [ ] No `MainLayer` - we shouldn't need it! Make sure weight naming can still be controlled.
- [ ] Explore full `float16` weights
- [ ] Explore passi... | {
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https://api.github.com/repos/huggingface/transformers/issues/24374 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24374/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24374/comments | https://api.github.com/repos/huggingface/transformers/issues/24374/events | https://github.com/huggingface/transformers/pull/24374 | 1,765,665,393 | PR_kwDOCUB6oc5Tc9HC | 24,374 | Rename test to be more accurate | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_24374). All of your documentation changes will be reflected on that endpoint."
] | 1,687 | 1,687 | 1,687 | COLLABORATOR | null | # What does this PR do?
Tiny fix but this integration test actually tests Finn to English so let's name it accordingly. | {
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https://api.github.com/repos/huggingface/transformers/issues/24373 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24373/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24373/comments | https://api.github.com/repos/huggingface/transformers/issues/24373/events | https://github.com/huggingface/transformers/pull/24373 | 1,765,632,291 | PR_kwDOCUB6oc5Tc2eu | 24,373 | Add a check in `ImageToTextPipeline._forward` | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,687 | 1,687 | 1,687 | COLLABORATOR | null | # What does this PR do?
Inside `ImageToTextPipeline.preprocess`, we have
```python
if self.model.config.model_type == "git" and prompt is None:
model_inputs["input_ids"] = None
```
So it may happen with a list of `None` (for Git model), and the `_forward` fail.
This PR add a check and c... | {
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https://api.github.com/repos/huggingface/transformers/issues/24372 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24372/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24372/comments | https://api.github.com/repos/huggingface/transformers/issues/24372/events | https://github.com/huggingface/transformers/issues/24372 | 1,765,495,469 | I_kwDOCUB6oc5pO1Kt | 24,372 | `resize_token_embeddings` breaks `gpt2` generation | {
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"You are adding a random line in the model. Without fine-tuning it there is no reason for it to continue working."
] | 1,687 | 1,687 | 1,687 | CONTRIBUTOR | null | ### System Info
```
- `transformers` version: 4.30.1
- Platform: Linux-5.15.0-1023-aws-x86_64-with-glibc2.2.5
- Python version: 3.8.11
- Huggingface_hub version: 0.15.1
- Safetensors version: 0.3.1
- PyTorch version (GPU?): 2.0.1+cu117 (False)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU... | {
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https://api.github.com/repos/huggingface/transformers/issues/24371 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24371/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24371/comments | https://api.github.com/repos/huggingface/transformers/issues/24371/events | https://github.com/huggingface/transformers/issues/24371 | 1,765,441,743 | I_kwDOCUB6oc5pOoDP | 24,371 | Future compatibility with LangChain | {
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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... | 1,687 | 1,690 | 1,690 | NONE | null | Is there a specific timeline for future LLM agents compatibility with LangChain?
What other current compatibility solutions with LangChain are there?
| {
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https://api.github.com/repos/huggingface/transformers/issues/24369 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24369/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24369/comments | https://api.github.com/repos/huggingface/transformers/issues/24369/events | https://github.com/huggingface/transformers/issues/24369 | 1,765,063,421 | I_kwDOCUB6oc5pNLr9 | 24,369 | Additional option for text generation when setting num_beam_groups | {
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"cc @gante ",
"Hey @hukuda222 \r\n\r\n`generate` is already a configuration behemoth, and we would be adding one more flag. By default, we are reluctant to add more flags unless the benefits are large OR there is demand for the option. As such, I'm going to propose the same as I do in similar issues ([e.g.](https... | 1,687 | 1,687 | 1,687 | CONTRIBUTOR | null | ### Feature request
I propose to add `num_return_sequences_per_groups` as an argument to `generate` function of `transformers.GenerationMixin`. Setting this will output `num_return_sequences_per_groups` sentences each group. Use cases are as follows:
code:
```python
outputs = model.generate(
tokenizer.encode... | {
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https://api.github.com/repos/huggingface/transformers/issues/24368 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24368/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24368/comments | https://api.github.com/repos/huggingface/transformers/issues/24368/events | https://github.com/huggingface/transformers/pull/24368 | 1,764,971,867 | PR_kwDOCUB6oc5Tan3Q | 24,368 | [Tokenizer doc] Clarification about `add_prefix_space` | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"This blog post on constrained decoding also uses `add_prefix_space` in `__call__` https://huggingface.co/blog/constrained-beam-search\r\n",
"The blog is not hosted on `transformers` but on `blog`, will open a PR for that too later ... | 1,687 | 1,687 | 1,687 | COLLABORATOR | null | # What does this PR do?
Adresses #17391, updates the documentation that suggested to use `add_prefix_space` when calling the tokenizer | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,687 | 1,687 | 1,687 | COLLABORATOR | null | # What does this PR do?
Adresses #24342, where it is mentioned that the documentation is conter intuitive. Indeed, after a lot of changes, the default value for the `bos_token` that we use is different, thus no official models (hosted on the hub) use `bos_token = "<startoftranscript>"` | {
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https://api.github.com/repos/huggingface/transformers/issues/24366 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24366/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24366/comments | https://api.github.com/repos/huggingface/transformers/issues/24366/events | https://github.com/huggingface/transformers/issues/24366 | 1,764,835,743 | I_kwDOCUB6oc5pMUGf | 24,366 | Format of the documentation (文档格式和可读性的问题） | {
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"sorry，我的浏览器兼容性问题。\r\nMy bad！！！！"
] | 1,687 | 1,687 | 1,687 | NONE | null | ### System Info
huggingface的文档格式真的看起来很乱，读起来很不流畅，强烈建议官方优化一下：
例如：https://huggingface.co/docs/transformers/installation
1. 段落之间几乎没有分隔符，没有标题，字体大小、行间距之类的也很差；
2. 超链和普通文字的格式几乎一样，容易误触；
3. 代码段也不够美观，看起来就像是从interactive 的IDE写的，不方便初学者复制。
### Who can help?
_No response_
### Information
- [ ] The official example scr... | {
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https://api.github.com/repos/huggingface/transformers/issues/24365 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24365/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24365/comments | https://api.github.com/repos/huggingface/transformers/issues/24365/events | https://github.com/huggingface/transformers/issues/24365 | 1,764,824,885 | I_kwDOCUB6oc5pMRc1 | 24,365 | ValueError: Unexpected result of `train_function` (Empty logs). Please use `Model.compile(..., run_eagerly=True)`, or `tf.config.run_functions_eagerly(True)` for more information of where went wrong, or file a issue/bug to `tf.keras`. | {
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"Hi @ErHimani, thanks for raising an issue. \r\n\r\nCould you follow the issue template and provide: \r\n* The running environment: run `transformers-cli env` in the terminal and copy-paste the output\r\n* A minimal code snippet so that was can reproduce the error\r\n\r\nWithout these, we're unable to help.",
"hi... | 1,687 | 1,701 | 1,701 | NONE | null | ### System Info
I am trying to train the CLIP model with my custom dataset But I am facing the above issue
my current version of tensorflow ==2.12.0
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in th... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,687 | 1,687 | 1,687 | COLLABORATOR | null | # What does this PR do?
Update tiny models for pipeline testing. | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,687 | 1,687 | 1,687 | CONTRIBUTOR | null | # What does this PR do?
Adds audio classification to the modelcard tasks lists, thus enabling model cards to be created for this task (required for https://github.com/huggingface/audio-transformers-course/pull/46) | {
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"cc @sgugger ",
"Would you like to open a PR for this?",
"I would like to, but I don't know how to implement it yet. Do you have any suggestions?",
"Should be added with the PR mentioned above :-)"
] | 1,687 | 1,687 | 1,687 | NONE | null | ### Feature request
Hello, I would like to add for loop support in https://github.com/huggingface/transformers/blame/c2393cad085e3875ee2206d917d46d15e50602a3/src/transformers/tools/python_interpreter.py
Any idea about how to implement this?
### Motivation
For loop is quite common in generated code. Usually it will ... | {
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"Hi @ElleLeonne, \r\n\r\nSo that we can best help, could you share a minimal code snippet so that we can reproduce the error and information about the running environment: run `transformers-cli env` in the terminal and copy-paste the output?",
"Out of town today, but I'll have something shortly.",
"This issue h... | 1,687 | 1,705 | 1,690 | NONE | null | ### System Info
I believe a recent update has caused Accelerate to try and concatenate all tensor data in the input dictionary.
This is a problem, because my inputs contain non-tensor data, due to the fact that such data is intermittent and not always provided in the batch.
Rather than skipping over this infor... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,687 | 1,687 | 1,687 | MEMBER | null | I made a lot of changes to the TF tests, and this exposed a few issues. This PR fixes all the exposed issues, so hopefully after this the only remaining CI issues should be related to generation or the `SharedEmbeddings` refactor. | {
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"Hi @luohao123, \r\n\r\nSo that we can help you, could you follow the issue template and provide a minimal code snippet to reproduce the error and the running environment: run `transformers-cli env` in the terminal and copy-paste the output? \r\n\r\ncc @pacman100 ",
"**TLDR;** if you're in a rush, downgrading to ... | 1,687 | 1,698 | 1,698 | NONE | null | ValueError: Found `optimizer` configured in the DeepSpeed config, but no `scheduler`. Please configure a scheduler in the DeepSpeed config.
Am using `--warmup_ratio 0.03 --lr_scheduler_type "cosine" \`
Here, and I didn't found a properly shceduler in deepspeed ssame as cosine, what should to set? | {
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https://api.github.com/repos/huggingface/transformers/issues/24358 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24358/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24358/comments | https://api.github.com/repos/huggingface/transformers/issues/24358/events | https://github.com/huggingface/transformers/pull/24358 | 1,763,612,699 | PR_kwDOCUB6oc5TWGJQ | 24,358 | Fix the order in `GPTNeo`'s docstring | {
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"Et voilà :)",
"_The documentation is not available anymore as the PR was closed or merged._",
"@qgallouedec To get the setup_and_quality tests passing, you'll need to run `make style` at the top level of the repo and push any changes to this branch. "
] | 1,687 | 1,701 | 1,687 | CONTRIBUTOR | null | # What does this PR do?
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,687 | 1,687 | 1,687 | COLLABORATOR | null | # What does this PR do?
Without `import torch.utils.checkpoint` (which we have in other files, like `Bart`), with torch 1.13, we got an error
(running `RUN_SLOW=1 python3 -m pytest -v tests/models/autoformer/test_modeling_autoformer.py::AutoformerModelTest::test_training_gradient_checkpointing`)
```bash
> ... | {
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"Did you solved? "
] | 1,687 | 1,697 | 1,687 | NONE | null | ### System Info
- Python version 3.8
- transformers - installed from source latest
**Describe the bug**
OOM When training 7B model on V100 16GB (2) with zero stage 2 and CPU offloading even when memory estimation showed far less per GPU mem requirement.
```
-- memory estimation--
DEVICES ['Tesla V100-PCIE-16... | {
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https://api.github.com/repos/huggingface/transformers/issues/24354 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24354/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24354/comments | https://api.github.com/repos/huggingface/transformers/issues/24354/events | https://github.com/huggingface/transformers/issues/24354 | 1,763,502,622 | I_kwDOCUB6oc5pHOoe | 24,354 | PEFT Models are not resuming from checkpoint as expected. | {
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"Hi @techthiyanes \r\nThank you very much for double checking, here are the snippets that I have ran and they work fine on my end using the branh you have mentioned:\r\n\r\n<details><summary>Without `resume_from_checkpoint`</summary>\r\n\r\n```python\r\n\r\nimport os\r\nfrom transformers import TrainingArguments\r\... | 1,687 | 1,687 | 1,687 | NONE | null | ### System Info
transformers : 4.30
### Who can help?
@llohann-speranca @younesbelkada
### 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 (gi... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@ydshieh Running the doctests (properly this time :) ), the tests pass with the ignore statement on the for loop, and fail without (in the same way as on the CI). "
] | 1,687 | 1,687 | 1,687 | COLLABORATOR | null | # What does this PR do?
#24317 Resolved the ImageGPT doc test failing issue, as `clusters` in the image processor were not stored as numpy arrays as expected. This was tested by running the code directly, but I didn't run using
` pytest --doctest-modules src/transformers/models/imagegpt/modeling_imagegpt.py ` 🙃 ... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Merge now. Don't hesitate to leave comments if any @ArthurZucker ."
] | 1,687 | 1,687 | 1,687 | COLLABORATOR | null | # What does this PR do?
Need a tiny fix after #24300.
Currently, we have a failure
```bash
self = <tests.models.switch_transformers.test_modeling_switch_transformers.SwitchTransformersEncoderOnlyModelTest testMethod=test_multi_gpu_data_parallel_forward>
@staticmethod
def forward(ctx, target_de... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,687 | 1,687 | 1,687 | COLLABORATOR | null | # What does this PR do?
The docker image build for DeepSpeed job in CI fails since ~ one week due to this [apex issue](https://github.com/NVIDIA/apex/issues/1679).
Let's pin to the previous commit until the above mentioned issue is resolved on `apex` side.
Currently, the DeepSpeed job fails as the above failur... | {
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] | 1,687 | 1,687 | 1,687 | COLLABORATOR | null | # What does this PR do?
No more timeout for connection to Hub in CI, and everyone is happy with ✅ | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,687 | 1,687 | 1,687 | COLLABORATOR | null | # What does this PR do?
Fixes #23081: when the number of heads is not a divisor of the hidden size, the attention will not work. This is most probably from the design of GPTNeoX's attention. | {
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https://api.github.com/repos/huggingface/transformers/issues/24348 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24348/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24348/comments | https://api.github.com/repos/huggingface/transformers/issues/24348/events | https://github.com/huggingface/transformers/pull/24348 | 1,763,101,314 | PR_kwDOCUB6oc5TUV3x | 24,348 | Add mul choice train script | {
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- Add common libraries for environments in env.yaml | {
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https://api.github.com/repos/huggingface/transformers/issues/24346 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24346/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24346/comments | https://api.github.com/repos/huggingface/transformers/issues/24346/events | https://github.com/huggingface/transformers/pull/24346 | 1,762,923,238 | PR_kwDOCUB6oc5TTvWs | 24,346 | Clean up disk sapce during docker image build for `transformers-pytorch-gpu` | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,687 | 1,687 | 1,687 | COLLABORATOR | null | # What does this PR do?
PyTorch pipeline CI job start to fail due to
```bash
ImportError: accelerate>=0.20.3 is required for a normal functioning of this module, but found accelerate==0.20.2.
Try: pip install transformers -U or pip install -e '.[dev]' if you're working with git main
```
**The root cause is:... | {
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"How are you launching your training script? If it's just with python (no distributed), the `Trainer` will use `DataParallel` which requires your batch size to be mulitiplied by the number of GPUs to work properly. I'm guessing that's why you see the \"instanteneous batch size\" at 4x what you put.\r\n\r\nThis is t... | 1,687 | 1,687 | 1,687 | NONE | null | ### System Info
- `transformers` version: 4.30.1
- Platform: Linux-4.18.0-240.el8.x86_64-x86_64-with-glibc2.28
- Python version: 3.10.11
- Huggingface_hub version: 0.15.1
- Safetensors version: 0.3.1
- PyTorch version (GPU?): 1.12.1 (False)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/... | {
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https://api.github.com/repos/huggingface/transformers/issues/24344 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24344/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24344/comments | https://api.github.com/repos/huggingface/transformers/issues/24344/events | https://github.com/huggingface/transformers/pull/24344 | 1,762,551,554 | PR_kwDOCUB6oc5TSe6k | 24,344 | docs: add BentoML to awesome-transformers | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"cc @LysandreJik ",
"I have updated the docs to the bottom of the page.",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_24344). All of your documentation changes will be reflected on th... | 1,687 | 1,687 | 1,687 | 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 with a d... | {
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https://api.github.com/repos/huggingface/transformers/issues/24343 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24343/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24343/comments | https://api.github.com/repos/huggingface/transformers/issues/24343/events | https://github.com/huggingface/transformers/issues/24343 | 1,762,545,472 | I_kwDOCUB6oc5pDk9A | 24,343 | Enable non-causal mask (to enable MLM) for VisionEncoderDecoder models | {
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"Hi @metemadi, thanks for opening this issue! \r\n\r\nThis sounds like an interesting project! I believe there's a few places that would need to be adapted in order to enable this properly, such as not forcing `add_cross_attention` to the decoder config and not shifting tokens (cc @ydshieh). The VisionEncoderDecode... | 1,687 | 1,687 | 1,687 | NONE | null | ### Feature request
Hello! The current (amazing!) VisionEncoderDecoder library supports text generation via a standard causal LM. Some recent work (linked [here](https://arxiv.org/abs/2306.07915)) has shown promise in having the text decoder be a MLM instead of a causal LM. I believe this is doable with the current Vi... | {
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https://api.github.com/repos/huggingface/transformers/issues/24342 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24342/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24342/comments | https://api.github.com/repos/huggingface/transformers/issues/24342/events | https://github.com/huggingface/transformers/issues/24342 | 1,762,232,559 | I_kwDOCUB6oc5pCYjv | 24,342 | Wrong pre-trained Whisper's BOS token? | {
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"Hi!\r\n\r\nThe first issue seems to be a feature of the whisper model. It has `<|endoftext|>` as token text for `bos`, `eos`, `pad` and `unk`. I see there are no dedicated tokens for `unk` and `pad`, so I think this is a feature of the model, and not a bug. If you look at the [original code](https://github.com/ope... | 1,687 | 1,687 | 1,687 | NONE | null | ### System Info
- `transformers` version: 4.30.2
- Platform: macOS-13.4-arm64-arm-64bit
- Python version: 3.10.11
- Huggingface_hub version: 0.15.1
- Safetensors version: 0.3.1
- PyTorch version (GPU?): 2.0.0 (False)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installe... | {
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https://api.github.com/repos/huggingface/transformers/issues/24341 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24341/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24341/comments | https://api.github.com/repos/huggingface/transformers/issues/24341/events | https://github.com/huggingface/transformers/issues/24341 | 1,762,223,297 | I_kwDOCUB6oc5pCWTB | 24,341 | Colab Translation notebook link not found | {
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"cc @Rocketknight1 ",
"I opened a PR to the notebooks repo here to fix this: https://github.com/huggingface/notebooks/pull/398\r\n\r\nThanks for warning us about the issue - we appreciate the help to keep our docs up to date!"
] | 1,687 | 1,687 | 1,687 | CONTRIBUTOR | null | ### System Info
Hello There!
First and foremost, congrats for Transformers Translation [tutorial](https://huggingface.co/docs/transformers/tasks/translation). 👍
It serves as a Spark for building english-to-many translation languages models!
I´m following it along with TF mostly reproducing it in a jupyter Notebook... | {
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https://api.github.com/repos/huggingface/transformers/issues/24340 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24340/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24340/comments | https://api.github.com/repos/huggingface/transformers/issues/24340/events | https://github.com/huggingface/transformers/pull/24340 | 1,762,137,831 | PR_kwDOCUB6oc5TRK2c | 24,340 | Fix TypeError: Object of type int64 is not JSON serializable | {
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"Hi @xiaoli, thanks for opening this PR. \r\n\r\nCould you provide some more information about when the error occurs? Does this happen when running with the values from [the example readme](https://github.com/huggingface/transformers/tree/main/examples/pytorch/token-classification#pytorch-version-no-trainer)?",
"... | 1,687 | 1,687 | 1,687 | CONTRIBUTOR | null | # What does this PR do?
Fixed that "TypeError: Object of type int64 is not JSON serializable"
## Who can review?
Anyone in the community is free to review the PR once the tests have passed. | {
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https://api.github.com/repos/huggingface/transformers/issues/24339 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24339/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24339/comments | https://api.github.com/repos/huggingface/transformers/issues/24339/events | https://github.com/huggingface/transformers/issues/24339 | 1,762,099,274 | I_kwDOCUB6oc5pB4BK | 24,339 | feat: `agent.run(return_agent_types=True)` | {
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"Hey @aarnphm, could you provide a code sample with the return you'd like to receive so that I can play with it and see if it makes sense to implement it? Thanks!",
"For example, I'm currently building [OpenLLM](https://github.com/bentoml/OpenLLM) and came across a use case where one can define an agent to genera... | 1,687 | 1,690 | 1,690 | CONTRIBUTOR | null | ### Feature request
Currently, `agent.run` on main will run materializer from `AgentType` to return its corresponding type.
I think it would be a great addition to just return this `AgentType` directly for external libraries to build on top of!
```python
agent = transformers.HfAgent("inference-api-endpoint"... | {
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https://api.github.com/repos/huggingface/transformers/issues/24338 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24338/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24338/comments | https://api.github.com/repos/huggingface/transformers/issues/24338/events | https://github.com/huggingface/transformers/pull/24338 | 1,762,016,390 | PR_kwDOCUB6oc5TQx9A | 24,338 | Add SophiaG. | {
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"[Semi-related] also linking to Paper page on HF: https://huggingface.co/papers/2305.14342",
"Thank you all for encouraging this. \r\n\r\nAs a first cut, I am working with the authors to see if this can be a PyPi package if authors agree. License is MIT, so hopefully we can get this out soon. [Sophia on PyPi](ht... | 1,687 | 1,690 | 1,690 | NONE | null | # What does this PR do?
This is a scratch PR showing how to test Sophia with Transformers. This is no way
production ready, and certainly needs to look at licensing. But, this is helpful if someone needs
to try this right away. I'm re-using **AdamW**'s `beta` values. Plus if you see carefully,
there's an ugly hac... | {
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https://api.github.com/repos/huggingface/transformers/issues/24337 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24337/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24337/comments | https://api.github.com/repos/huggingface/transformers/issues/24337/events | https://github.com/huggingface/transformers/issues/24337 | 1,762,014,491 | I_kwDOCUB6oc5pBjUb | 24,337 | past_key_values is not working as expected for falcon-7b | {
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"Hi @orgadhadas \r\nThanks for the issue, I think the canonical way to use past key values is to set `use_cache=True` when calling `model.generate`. I think the remote code supports that argument as you can see here: https://huggingface.co/tiiuae/falcon-7b-instruct/blob/main/modelling_RW.py#L699 Can you share with ... | 1,687 | 1,690 | 1,690 | NONE | null | ### System Info
Hello,
I've been trying to use past_key_values to speed up text generation, but it doesn't seem to work: instead of generating coherent text like is done when I'm not using past_key_values, it seems to generate the same token over and over again. I've been trying to search the web for usage guidel... | {
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https://api.github.com/repos/huggingface/transformers/issues/24336 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24336/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24336/comments | https://api.github.com/repos/huggingface/transformers/issues/24336/events | https://github.com/huggingface/transformers/pull/24336 | 1,761,997,298 | PR_kwDOCUB6oc5TQuIN | 24,336 | Fix link to documentation in Install from Source | {
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"@amyeroberts You are welcome! Thanks for creating Transformers library ! :)",
"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,687 | 1,687 | 1,687 | CONTRIBUTOR | null | Fix link to documentation _to install Transformers from Source_ .Probably the title changed at some point from 'Installing' to 'Install' and verbose message in utils broke.
# What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/24335 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24335/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24335/comments | https://api.github.com/repos/huggingface/transformers/issues/24335/events | https://github.com/huggingface/transformers/pull/24335 | 1,761,991,673 | PR_kwDOCUB6oc5TQtBl | 24,335 | [Wav2Vec2 - MMS] Correct directly loading adapters weights | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Sorry, I accidentally submitted the review without a saved comment. I realised in the `from_pretrained` call why you were using `pass`. I still think raising an exception would be good, as otherwise we can get silent behaviour. Would... | 1,687 | 1,687 | 1,687 | MEMBER | null | # What does this PR do?
This PR corrects incorrect behavior when loading MMS with non-default adapter weights via `from_pretrained(...)`. The issue is explained well [here](https://github.com/huggingface/transformers/issues/24223#issuecomment-1595856093).
In a nutshell, we cannot load specific weights in the init... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@sgugger @amyeroberts \r\n\r\nA further request for approval, as I've introduced a pattern that I'd like to repeat (assuming you're okay with it).\r\n\r\nIn the latest commit, you'll see:\r\n1. An example in the logit processor class... | 1,687 | 1,689 | 1,687 | MEMBER | null | # What does this PR do?
Closes #22168
As per [popular demand](https://github.com/huggingface/transformers/issues/22168#issuecomment-1477998997), adds a logits processor that applies a bias to certain sequences -- `SequenceBiasLogitsProcessor`
This manipulation is a more general case of forbidding certain sequ... | {
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https://api.github.com/repos/huggingface/transformers/issues/24333 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24333/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24333/comments | https://api.github.com/repos/huggingface/transformers/issues/24333/events | https://github.com/huggingface/transformers/pull/24333 | 1,761,923,401 | PR_kwDOCUB6oc5TQfgb | 24,333 | Fix `KerasMetricCallback`: pass `generate_kwargs` even if `use_xla_generation` is False | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,687 | 1,687 | 1,687 | CONTRIBUTOR | null | # What does this PR do?
Currently, `KerasMetricCallback` ignores the `generate_kwargs` argument if `use_xla_generation` is set to `False` (which is the default). This means that when not using XLA, the user can't pass arguments like `max_new_tokens` to the `generate` method being called in `on_epoch_end`. It's also ... | {
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https://api.github.com/repos/huggingface/transformers/issues/24332 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24332/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24332/comments | https://api.github.com/repos/huggingface/transformers/issues/24332/events | https://github.com/huggingface/transformers/issues/24332 | 1,761,760,676 | I_kwDOCUB6oc5pAlWk | 24,332 | Why it always raise error like this? | {
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"Hi @RosterMouch, thanks for raising this issue. \r\n\r\nA few questions on our side to try and help dig into the issue: \r\n* Could you share which verion of `huggingface_hub` is beign run in your environment? \r\n* When you say \"I could promise that there is not a network connection problem at all\", could you s... | 1,686 | 1,689 | 1,689 | NONE | null | ### System Info
I could promise that there is not a network connection problem at all,but it true raised like this:
```bash
Traceback (most recent call last):
File "test.py", line 3, in <module>
model = AutoModelForCausalLM.from_pretrained("nomic-ai/gpt4all-j", revision="v1.2-jazzy")
File "/home/elin/anac... | {
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https://api.github.com/repos/huggingface/transformers/issues/24331 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24331/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24331/comments | https://api.github.com/repos/huggingface/transformers/issues/24331/events | https://github.com/huggingface/transformers/pull/24331 | 1,761,638,661 | PR_kwDOCUB6oc5TPqms | 24,331 | style: add BitsAndBytesConfig __repr__ function | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Hi @amyeroberts I have addressed all of the issue. PTAL when you are available. Thanks a bunch.",
"Can you rebase your branch on main? This should fix the failing test. Thanks!",
"done.",
"Thanks a lot for working on this @aarn... | 1,686 | 1,687 | 1,687 | CONTRIBUTOR | null | # What does this PR do?
Add a `__repr__` to `transformers.BitsAndBytesConfig` to make it nice to print.
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https://api.github.com/repos/huggingface/transformers/issues/24330 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24330/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24330/comments | https://api.github.com/repos/huggingface/transformers/issues/24330/events | https://github.com/huggingface/transformers/issues/24330 | 1,761,327,681 | I_kwDOCUB6oc5o-7pB | 24,330 | Resuming / retraining the peft model | {
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"Hi @adityaaryan77, thanks for raising an issue! \r\n\r\nIt seems like this is a case of catastrophic forgetting, rather than a bug per se in the model or transformers library. As such question best placed in our [forums](https://discuss.huggingface.co/). We try to reserve the github issues for feature requests and... | 1,686 | 1,690 | 1,690 | NONE | null | ### System Info
Although resume_from_checkpoint is now working after @llohann-speranca solved the issue but now finetuning again with new data using train(resume_from_checkpoint) and then testing it makes it forget the old datas i.e. wont remember the things in old dataset.
Attaching the code below:
import json
... | {
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https://api.github.com/repos/huggingface/transformers/issues/24329 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24329/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24329/comments | https://api.github.com/repos/huggingface/transformers/issues/24329/events | https://github.com/huggingface/transformers/pull/24329 | 1,761,220,653 | PR_kwDOCUB6oc5TOPaM | 24,329 | [Doc Fix] Fix model name path in the transformers doc for AutoClasses | {
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"R: @stevhliu",
"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,686 | 1,687 | 1,687 | CONTRIBUTOR | null | Fixes the model name path in the transformers doc for the AutoTokenizer step.
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https://api.github.com/repos/huggingface/transformers/issues/24328 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24328/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24328/comments | https://api.github.com/repos/huggingface/transformers/issues/24328/events | https://github.com/huggingface/transformers/pull/24328 | 1,761,157,284 | PR_kwDOCUB6oc5TOBMm | 24,328 | save full_osd in fsdp mode | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_24328). All of your documentation changes will be reflected on that endpoint.",
"Hello, PR #24446 addresses this issue. ",
"This issue has been automatically marked as stale because it has not had recent activity. If you ... | 1,686 | 1,690 | 1,690 | NONE | null | Fixes a typo in which the variable full_osd is referenced before definition if run in fsdp mode. The fix allows model files to be saved when running in fsdp.
Links to issue: https://github.com/huggingface/transformers/issues/24057
Fixes # 24057
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https://api.github.com/repos/huggingface/transformers/issues/24327 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24327/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24327/comments | https://api.github.com/repos/huggingface/transformers/issues/24327/events | https://github.com/huggingface/transformers/issues/24327 | 1,761,141,342 | I_kwDOCUB6oc5o-OJe | 24,327 | AutoModelForSequenceClassification.from_config doesn't support LlamaConfig | {
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"Hi @kungfu-eric, \r\n\r\nThis issue is arising because you need to pass an instance of the config, rather than the config class i.e.:\r\n\r\n```python\r\nfrom transformers import AutoModelForSequenceClassification\r\nfrom transformers.models.llama.configuration_llama import LlamaConfig\r\n\r\nconfig = LlamaConfig(... | 1,686 | 1,686 | 1,686 | NONE | null | ### System Info
Calling:
```
from transformers import AutoModelForSequenceClassification
from transformers.models.llama.configuration_llama import LlamaConfig
config = LlamaConfig()
model = AutoModelForSequenceClassification.from_config(config)
```
gives:
```
________________________________ Traceback (... | {
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https://api.github.com/repos/huggingface/transformers/issues/24326 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24326/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24326/comments | https://api.github.com/repos/huggingface/transformers/issues/24326/events | https://github.com/huggingface/transformers/pull/24326 | 1,761,123,868 | PR_kwDOCUB6oc5TN6Cr | 24,326 | Adding ddp_broadcast_buffers argument to Trainer | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,686 | 1,686 | 1,686 | CONTRIBUTOR | null | # What does this PR do?
In #22482, using the Trainer with `gpt2` and other similar models failed in naive distributed mode. Passing `ddp_broadcast_buffers=False` to Pytorch's DDP wrapper fixes the issue. This PR surfaces that argument to the Trainer user. | {
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https://api.github.com/repos/huggingface/transformers/issues/24325 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24325/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24325/comments | https://api.github.com/repos/huggingface/transformers/issues/24325/events | https://github.com/huggingface/transformers/pull/24325 | 1,760,968,723 | PR_kwDOCUB6oc5TNZNQ | 24,325 | [Time-Series] Added link to the blog in Tips | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_24325). All of your documentation changes will be reflected on that endpoint.",
"file names changed, opened a new one here\r\nhttps://github.com/huggingface/transformers/pull/24482"
] | 1,686 | 1,687 | 1,687 | CONTRIBUTOR | null | @kashif @NielsRogge | {
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https://api.github.com/repos/huggingface/transformers/issues/24324 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24324/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24324/comments | https://api.github.com/repos/huggingface/transformers/issues/24324/events | https://github.com/huggingface/transformers/pull/24324 | 1,760,961,588 | PR_kwDOCUB6oc5TNXqU | 24,324 | Allow passing kwargs through to TFBertTokenizer | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Ping @amyeroberts for core maintainer review now that the extra functionality is working fine (see issue #23798)",
"I was a bit wary about the kwargs thing too - `FastBertTokenizer` and `BertTokenizerLayer` actually have wildly di... | 1,686 | 1,687 | 1,687 | MEMBER | null | There are some kwargs like `preserve_unused_tokens` in the underlying TF tokenizer layers that might be useful to expose to users. This PR exposes them by passing through any unrecognized `kwargs` in the model `__init__` to the TF tokenizer layer.
Fixes #23798 | {
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https://api.github.com/repos/huggingface/transformers/issues/24323 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24323/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24323/comments | https://api.github.com/repos/huggingface/transformers/issues/24323/events | https://github.com/huggingface/transformers/issues/24323 | 1,760,948,980 | I_kwDOCUB6oc5o9fL0 | 24,323 | Protobuf 4 support (again) | {
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"Hi @dustyketchum, \r\n\r\nThanks for raising this issue. Managing the different dependencies in the library can be quite complex. As noted in the linked issue, the blocker for upgrading protobuf support was third-party libraries support of protobuf 4 rather than our own. \r\n\r\nIf this is something you or someone... | 1,686 | 1,688 | 1,688 | NONE | null | ### Feature request
Looking at https://github.com/huggingface/transformers/issues/21677#issuecomment-1435072007, I notice there are now new versions of tensorflow and tensorboard that may help with protobuf 4.x compatibility. It would be awesome to get this upgraded, thanks!
### Motivation
easier upgrade path to ... | {
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https://api.github.com/repos/huggingface/transformers/issues/24322 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24322/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24322/comments | https://api.github.com/repos/huggingface/transformers/issues/24322/events | https://github.com/huggingface/transformers/pull/24322 | 1,760,689,621 | PR_kwDOCUB6oc5TMb7t | 24,322 | Respect explicitly set framework parameter in pipeline | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Updated so that `infer_framework_load_model` is not called at all if `model` is already loaded and `framework` is defined.\r\n\r\nHowever, it may still be worth keeping the check inside `infer_framework_load_model` so that if `framew... | 1,686 | 1,687 | 1,687 | CONTRIBUTOR | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/24321 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24321/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24321/comments | https://api.github.com/repos/huggingface/transformers/issues/24321/events | https://github.com/huggingface/transformers/issues/24321 | 1,760,680,155 | I_kwDOCUB6oc5o8djb | 24,321 | [pipeline] Explicitly set framework is ignored | {
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- `transformers` version: 4.30.2
Omitting the rest because they aren't really relevant. Can submit later if needed.
### Who can help?
@Narsil
### Information
- [ ] The official example scripts
- [X] My own modified scripts
### Tasks
- [X] An officially supported task in the `examples` folder (... | {
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https://api.github.com/repos/huggingface/transformers/issues/24320 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24320/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24320/comments | https://api.github.com/repos/huggingface/transformers/issues/24320/events | https://github.com/huggingface/transformers/pull/24320 | 1,760,661,965 | PR_kwDOCUB6oc5TMV2f | 24,320 | Add test for proper TF input signatures | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,686 | 1,686 | 1,686 | MEMBER | null | This is a relatively simple PR intended to check that all TF models have proper input signatures that match their inputs. I was calling the function `self._prune_signature` in a few places to verify this, which felt a bit hacky. This test should let us get rid of `self._prune_signature` by enforcing valid signatures fo... | {
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https://api.github.com/repos/huggingface/transformers/issues/24319 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24319/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24319/comments | https://api.github.com/repos/huggingface/transformers/issues/24319/events | https://github.com/huggingface/transformers/pull/24319 | 1,760,611,507 | PR_kwDOCUB6oc5TMKrp | 24,319 | Fix ner average grouping with no groups | {
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"For bigger fixes I would add a test. This is small enough I think it's ok to skip. Let me know.",
"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,686 | 1,686 | 1,686 | CONTRIBUTOR | null | # What does this PR do?
Fixes #https://github.com/huggingface/transformers/issues/24314
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https://api.github.com/repos/huggingface/transformers/issues/24318 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24318/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24318/comments | https://api.github.com/repos/huggingface/transformers/issues/24318/events | https://github.com/huggingface/transformers/issues/24318 | 1,760,348,442 | I_kwDOCUB6oc5o7Mka | 24,318 | Recursion error when creating AutoTokenizer | {
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"Interesting, I can't even load the autotokenizer from remote, i.e., just loading `from_pretrained` using the remote identifier doesn't work and leads to a recursion error.",
"Hey! There seems to be something a bit strange with the `tokenizer_config.json`, since the `unk_token`, the `bos_token` as well as the `eo... | 1,686 | 1,691 | 1,691 | CONTRIBUTOR | null | ### System Info
```
- `transformers` version: 4.30.2
- Platform: Linux-5.15.0-1033-oracle-x86_64-with-glibc2.29
- Python version: 3.8.10
- Huggingface_hub version: 0.15.1
- Safetensors version: 0.3.1
- PyTorch version (GPU?): 2.0.0+cu117 (False)
- Tensorflow version (GPU?): not installed (NA)
- Flax version ... | {
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https://api.github.com/repos/huggingface/transformers/issues/24317 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24317/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24317/comments | https://api.github.com/repos/huggingface/transformers/issues/24317/events | https://github.com/huggingface/transformers/pull/24317 | 1,760,332,952 | PR_kwDOCUB6oc5TLMdO | 24,317 | Fix ImageGPT doc example | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,686 | 1,686 | 1,686 | COLLABORATOR | null | # What does this PR do?
There was a bug in the example, where the clusters in the image processor were stored as lists, but the example assumed they were numpy arrays.
At the moment, clusters are stored as a list of lists, but [converted to a numpy array during processing](https://github.com/huggingface/transfor... | {
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https://api.github.com/repos/huggingface/transformers/issues/24316 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24316/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24316/comments | https://api.github.com/repos/huggingface/transformers/issues/24316/events | https://github.com/huggingface/transformers/issues/24316 | 1,760,298,276 | I_kwDOCUB6oc5o7AUk | 24,316 | [Tokenizer] `skip_special_tokens` not working as expected | {
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"Okay! the fix PR should be merged soon. Note that the behaviour is gonna be deprecated! "
] | 1,686 | 1,695 | 1,695 | COLLABORATOR | null | # Reporting a failing API design
This is mostly to help me record some of the biggest issues with the current API for adding tokens.
This is linked to #23909. Here is a simple snippet:
```python
>>> from transformers import AutoTokenizer
>>> tokenizer = AutoTokenizer.from_pretrained("t5-base", use_fast = Fa... | {
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