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https://api.github.com/repos/huggingface/transformers/issues/27445 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27445/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27445/comments | https://api.github.com/repos/huggingface/transformers/issues/27445/events | https://github.com/huggingface/transformers/issues/27445 | 1,988,561,202 | I_kwDOCUB6oc52hwky | 27,445 | Whisper model max_length doesn't work as expected | {
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"@sanchit-gandhi @sgugger @ArthurZucker @patrickvonplaten any update on this? ",
"@RohitMidha23, please provide a reproducible code snippet so that we can reproduce this bug? ",
"Hey @RohitMidha23 - the `max_length` attribute is not stored in the Whisper config on the HF Hub: https://huggingface.co/openai/whis... | 1,699 | 1,703 | 1,703 | NONE | null | ### System Info
- `transformers` version: 4.36.0.dev0
- Platform: Linux-5.15.120+-x86_64-with-glibc2.35
- Python version: 3.10.12
- Huggingface_hub version: 0.17.3
- Safetensors version: 0.4.0
- Accelerate version: 0.24.1
- Accelerate config: not found
- PyTorch version (GPU?): 2.1.0+cu118 (True)
- Tensorflow... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_27444). All of your documentation changes will be reflected on that endpoint."
] | 1,699 | 1,702 | null | COLLABORATOR | null | # What does this PR do?
<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
Then, please replace this w... | {
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"cc @NielsRogge and @philschmid who gave me the idea for this!",
"_The documentation is not available anymore as the PR was closed or merged._",
"Pinging @NielsRogge and @philschmid if you have any comments - I'll merge tomorrow if not!"
] | 1,699 | 1,699 | 1,699 | MEMBER | null | Based on feedback, some bits of chat templates were unclear even after reading the docs (particularly around using chat templates for training). I've added a section on that, and also reorganized the entire doc to do the following:
- Stop using gated models (so the doctests actually work)
- Push advanced topics (wr... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,699 | 1,699 | 1,699 | CONTRIBUTOR | null | # What does this PR do?
Fixes typo in Whisper pipeline test that was causing a failure on the daily CI (cc @ydshieh): https://github.com/huggingface/transformers/actions/runs/6792980649/job/18467224285
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"Is this issue open for contribution?\r\n",
"The main Flash Attention 2 discussion tracking issue and discussion seems to be https://github.com/huggingface/transformers/issues/26350"
] | 1,699 | 1,708 | null | NONE | null | Encountered the following when trying to incorporate Flash attention into a previously devved byt5-small finetuning script.
Code to produce:
```
from transformers import T5ForConditionalGeneration, AutoTokenizer, Trainer, TrainingArguments, DataCollatorForSeq2Seq
model_path = "google/byt5-small"
model = T5... | {
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https://api.github.com/repos/huggingface/transformers/issues/27440 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27440/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27440/comments | https://api.github.com/repos/huggingface/transformers/issues/27440/events | https://github.com/huggingface/transformers/pull/27440 | 1,988,069,037 | PR_kwDOCUB6oc5fKjvY | 27,440 | [MusicGen] Fix audio channel attribute | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_27440). All of your documentation changes will be reflected on that endpoint."
] | 1,699 | 1,701 | 1,701 | CONTRIBUTOR | null | # What does this PR do?
`audio_channels` attribute is stored in the decoder sub-model config, not the overall top-level config.
The logits test for MusicGen mono previously failed on the daily CI tests (cc @ydshieh): https://github.com/huggingface/transformers/actions/runs/6806630933/job/18508277638
It passes w... | {
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"The updated example gives the same issue\r\nhttps://huggingface.co/docs/transformers/tasks/sequence_classification\r\n\r\n```\r\nclass ClassificationHead(nn.Module):\r\n def __init__(self, config):\r\n super().__init__()\r\n self.dense = nn.Linear(config.hidden_size, config.hidden_size)\r\n ... | 1,699 | 1,699 | 1,699 | NONE | null | ### System Info
2023-11-10 17:12:03.551843: E tensorflow/compiler/xla/stream_executor/cuda/cuda_dnn.cc:9342] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
2023-11-10 17:12:03.551902: E tensorflow/compiler/xla/stream_executor/cuda/cuda_fft.cc:609... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Sure I'll add a test! 😈 "
] | 1,699 | 1,700 | 1,700 | COLLABORATOR | null | # What does this PR do?
Fixes #26720 by improving the error message printed out when someone tries:
```python
>>> from transformers import AutoModel
>>> AutoModel.from_pretrained(".gpt2")
...
OSError: Incorrect path_or_model_id: '.gpt2'. Please provide either the path to a local folder or the repo_id of a model ... | {
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This job sometimes having some test timeout (> 120s.). Even if job passes, the log looks like
```
115.55s call examples/pytorch/test_pytorch_examples.py::ExamplesTests::test_run_semantic_segmentation
66.07s call examples/pytorch/test_pytorch_examples.py::ExamplesTests::test_run_squ... | {
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"cc @gante ",
"Hey @Wovchena 👋 \r\n\r\nThank you for opening the PR! We are planning, however, to change the structure of beam search, for better support with `torch.compile` and vectorization. As such, we are avoiding merging changes related to beam-search",
"This issue has been automatically marked as stale ... | 1,699 | 1,702 | 1,702 | NONE | null | # What does this PR do?
Heapify `BeamHypotheses`
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md#start-contributing-pul... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,699 | 1,699 | 1,699 | COLLABORATOR | null | # What does this PR do?
We now switch our CI runners from GCP to AWS, and on AWS, we can only config single gpu VMs or 4 gpus VMs (with all the condition we impose).
However, our tests don't like env. with 4 GPUs, and there are > 50 more failing tests on the report.
Considering we use 2 GPUs for multi-gpu test... | {
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https://api.github.com/repos/huggingface/transformers/issues/27434 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27434/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27434/comments | https://api.github.com/repos/huggingface/transformers/issues/27434/events | https://github.com/huggingface/transformers/pull/27434 | 1,987,718,720 | PR_kwDOCUB6oc5fJWUA | 27,434 | Fixes AutoModel find_adapter_config_file does not use revision #27429 | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_27434). 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... | 1,699 | 1,705 | 1,705 | CONTRIBUTOR | null |
Fixes #27429
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md#start-contributing-pull-requests),
Pull Request... | {
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https://api.github.com/repos/huggingface/transformers/issues/27433 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27433/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27433/comments | https://api.github.com/repos/huggingface/transformers/issues/27433/events | https://github.com/huggingface/transformers/pull/27433 | 1,987,600,381 | PR_kwDOCUB6oc5fI8WJ | 27,433 | Multi qformer batch correct | {
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<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
Then, please replace this w... | {
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https://api.github.com/repos/huggingface/transformers/issues/27432 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27432/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27432/comments | https://api.github.com/repos/huggingface/transformers/issues/27432/events | https://github.com/huggingface/transformers/issues/27432 | 1,987,581,913 | I_kwDOCUB6oc52eBfZ | 27,432 | Fine tuning with examples/pytorch/language-modeling/run_clm.py on torch/XLA + FSDP produce abnormal models | {
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- `transformers` version: 4.36.0.dev0
- Platform: Linux-5.13.0-1027-gcp-x86_64-with-glibc2.29
- Python version: 3.8.10
- Huggingface_hub version: 0.19.0
- Safetensors version: 0.4.0
- Accelerate version: 0.24.1
- Accelerate config: not found
- PyTorch version (GPU?): 2.1.0a0+gitcc01568 (False)
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https://api.github.com/repos/huggingface/transformers/issues/27431 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27431/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27431/comments | https://api.github.com/repos/huggingface/transformers/issues/27431/events | https://github.com/huggingface/transformers/pull/27431 | 1,987,563,196 | PR_kwDOCUB6oc5fI0MI | 27,431 | translate hpo_train.md and perf_hardware.md to chinese | {
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"@stevhliu\r\n\r\nHi,\r\n\r\nHere is another pr. Thanks for my DIY Computer experience， or I can not understand what the docs talking about.\r\n\r\nI think I will be free next couple of days to translate some \"difficult but practical“ docs.\r\n\r\nBest",
"The docs for this PR live [here](https://moon-ci-docs.hug... | 1,699 | 1,700 | 1,699 | CONTRIBUTOR | null | # What does this PR do?
Part of #26803
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md#start-contributing-pull-reques... | {
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https://api.github.com/repos/huggingface/transformers/issues/27430 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27430/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27430/comments | https://api.github.com/repos/huggingface/transformers/issues/27430/events | https://github.com/huggingface/transformers/issues/27430 | 1,987,428,777 | I_kwDOCUB6oc52dcGp | 27,430 | ModuleNotFoundError: No module named 'transformers_modules.THUDM/chatglm3-6b | {
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"Hi @ShanJianSoda, thanks for raising an issue! \r\n\r\nCould you provide either a link to the web demo or a code snippet we could run to reproduce the error? ",
"thanks you, It's in this project. https://github.com/THUDM/ChatGLM3. \r\n\r\n:D",
"Thanks for sharing! This is an external library and so we're not r... | 1,699 | 1,699 | 1,699 | NONE | null | ### System Info
当我运行chatglm3的web_demo2.py时，发生错误
此时的配置环境为
When I run the web_demo2.py for chatglm3, an error occurs
In this case, the configuration environment is as follows:
torch = 2.1.0+cu121
Python = 3.11
transformers = 4.26.1
### Who can help?
_No response_
### Information
- [ ] The official example sc... | {
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https://api.github.com/repos/huggingface/transformers/issues/27429 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27429/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27429/comments | https://api.github.com/repos/huggingface/transformers/issues/27429/events | https://github.com/huggingface/transformers/issues/27429 | 1,987,413,196 | I_kwDOCUB6oc52dYTM | 27,429 | AutoModel find_adapter_config_file does not use revision | {
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"Hi @edbeeching you need to pass revision through `adapter_kwargs` as such:\r\n\r\n```python\r\nfrom transformers import AutoModelForCausalLM\r\nmodel = AutoModelForCausalLM.from_pretrained(\"alignment-handbook/zephyr-7b-sft-lora\", adapter_kwargs={\"revision\":\"main.merged\"})\r\n```\r\nSo that we cover also the ... | 1,699 | 1,702 | 1,702 | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.35.0
- Platform: Linux-6.2.0-36-generic-x86_64-with-glibc2.35
- Python version: 3.10.13
- Huggingface_hub version: 0.17.3
- Safetensors version: 0.4.0
- Accelerate version: 0.23.0
- Accelerate config: not found
- PyTorch version (GPU?): 2.1.0+cu121 (True)
- Tensorfl... | {
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https://api.github.com/repos/huggingface/transformers/issues/27428 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27428/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27428/comments | https://api.github.com/repos/huggingface/transformers/issues/27428/events | https://github.com/huggingface/transformers/pull/27428 | 1,987,411,445 | PR_kwDOCUB6oc5fIS8D | 27,428 | use logger.warning_once to avoid massive outputs | {
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"Sure! Happy to do that. If I understand correctly, this will only apply to `logger.info/warn` in the `forward()` function and the functions called by `forward()`. ",
"@ranchlai Awesome - thanks! Yep, that's right. Feel free to ping with any questions if you're not sure about any of them. "
] | 1,699 | 1,702 | 1,702 | CONTRIBUTOR | null |
# What does this PR do?
This is a quick fix to to avoid massive outputs when training/finetuning longformer (for text classifcation) by using ```logger.warning_once``` rather than ```logger.info```
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https://api.github.com/repos/huggingface/transformers/issues/27427 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27427/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27427/comments | https://api.github.com/repos/huggingface/transformers/issues/27427/events | https://github.com/huggingface/transformers/issues/27427 | 1,987,385,230 | I_kwDOCUB6oc52dReO | 27,427 | cannot recall the model after registering it using AutoModelForCausalLM.register | {
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"Hi @Ranitbag007, thanks for raising an issue. \r\n\r\nCould you follow the issue template for [reporting a bug](https://github.com/huggingface/transformers/blob/main/.github/ISSUE_TEMPLATE/bug-report.yml)? It should include: \r\n* The running environment: run `transformers-cli env` in the terminal and copy-paste t... | 1,699 | 1,699 | null | NONE | null | ### Model description
I have registered my custom model using AutoModelForCausalLM.register(CustomAIConfig, CustomAI) but I am unable to call the model . It shows ImportError: cannot import name 'CustomAI' from 'transformers' (/usr/local/lib/python3.10/dist-packages/transformers/init.py) . Can you help me in this?
#... | {
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https://api.github.com/repos/huggingface/transformers/issues/27426 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27426/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27426/comments | https://api.github.com/repos/huggingface/transformers/issues/27426/events | https://github.com/huggingface/transformers/issues/27426 | 1,987,230,864 | I_kwDOCUB6oc52cryQ | 27,426 | some errors about the compute_mertics function | {
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"Hi @HelloNicoo, thanks for raising an issue. \r\n\r\nWe get many issues and feature requests and so need to you help us so that we can get through them at a reasonable pace. Could you: \r\n* Make sure all of the code is properly formated in markdown - between three backticks i.e. ` ``` code goes here ``` `\r\n* Gi... | 1,699 | 1,702 | 1,702 | NONE | null | ### System Info
`transformers` version: 4.34.1
- Platform: Linux-5.15.0-69-generic-x86_64-with-glibc2.17
- Python version: 3.8.18
- Huggingface_hub version: 0.17.3
- Safetensors version: 0.4.0
- Accelerate version: 0.24.1
- Accelerate config: - compute_environment: LOCAL_MACHINE
- distributed_type: N... | {
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https://api.github.com/repos/huggingface/transformers/issues/27425 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27425/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27425/comments | https://api.github.com/repos/huggingface/transformers/issues/27425/events | https://github.com/huggingface/transformers/pull/27425 | 1,987,167,758 | PR_kwDOCUB6oc5fHd1f | 27,425 | Introduce Textnet backbone (needed for Fast model) | {
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"@amyeroberts I have pulled out all the changes for textnet backbone needed for fast model (https://github.com/huggingface/transformers/pull/26657) into separate PR. Requesting for a first round of review.",
"> Thanks for adding!\r\n> \r\n> I've done an initial pass - it'll likely be at least one more review rou... | 1,699 | 1,707 | null | CONTRIBUTOR | null | This is needed for merging fast model #26501 | {
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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... | 1,699 | 1,705 | 1,705 | NONE | null | ### Feature request
I am trying the below code:
processor = LayoutLMv3Processor.from_pretrained("/content/layoutlmv3-large-finetuned-funsd")
encoding = processor(image, return_offsets_mapping=True, return_tensors="pt")
offset_mapping = encoding.pop('offset_mapping')
print(encoding.keys())
device = torch.devic... | {
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https://api.github.com/repos/huggingface/transformers/issues/27423 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27423/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27423/comments | https://api.github.com/repos/huggingface/transformers/issues/27423/events | https://github.com/huggingface/transformers/issues/27423 | 1,986,704,872 | I_kwDOCUB6oc52arXo | 27,423 | chatglm3-6b-32k does not support Flash Attention 2.0 | {
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"Hi @abc123456cxx, thanks for raising this. \r\n\r\nIs this a request to add flash attention to the model? If so, the [modeling files live on the hub](https://huggingface.co/THUDM/chatglm3-6b-32k/tree/main). Could you open an issue there to request this feature? ",
"This issue has been automatically marked as sta... | 1,699 | 1,702 | 1,702 | NONE | null | When I use **AutoModelForCausalLM.from_pretrained(path, trust_remote_code=True, load_in_8bit= True,use_flash_attention=True,device_map="auto")**, it occers:
ValueError: The current architecture does not support Flash Attention 2.0. Please open an issue on GitHub to request support for this architecture: https://github... | {
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https://api.github.com/repos/huggingface/transformers/issues/27422 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27422/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27422/comments | https://api.github.com/repos/huggingface/transformers/issues/27422/events | https://github.com/huggingface/transformers/pull/27422 | 1,986,658,061 | PR_kwDOCUB6oc5fFv9Z | 27,422 | Perf torch compile | {
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"@stevhliu\r\n\r\nHi,\r\n\r\nhere is another PR.\r\n\r\nBest",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_27422). All of your documentation changes will be reflected on that endpoint."
] | 1,699 | 1,700 | 1,699 | CONTRIBUTOR | null | # What does this PR do?
Part of #26803
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md#start-contributing-pull-reques... | {
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https://api.github.com/repos/huggingface/transformers/issues/27421 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27421/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27421/comments | https://api.github.com/repos/huggingface/transformers/issues/27421/events | https://github.com/huggingface/transformers/issues/27421 | 1,986,632,251 | I_kwDOCUB6oc52aZo7 | 27,421 | Race condition when loading models from local folders with custom code | {
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"Hi @dakinggg, thanks for raising this issue! \r\n\r\nCould you give a bit more information about how you're running the code from multiple processes? \r\n\r\nNote: there was a recent update in the recent release `4.35` where we use safetensors by default when saving/loading models which might also affect this (alt... | 1,699 | 1,707 | null | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.34.0
- Platform: Linux-5.4.0-148-generic-x86_64-with-glibc2.31
- Python version: 3.10.13
- Huggingface_hub version: 0.17.3
- Safetensors version: 0.4.0
- Accelerate version: 0.20.3
- Accelerate config: not found
- PyTorch version (GPU?): 2.1.0+cu121 (True)
- Tensorf... | {
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https://api.github.com/repos/huggingface/transformers/issues/27420 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27420/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27420/comments | https://api.github.com/repos/huggingface/transformers/issues/27420/events | https://github.com/huggingface/transformers/pull/27420 | 1,986,547,345 | PR_kwDOCUB6oc5fFYaJ | 27,420 | Bump pyarrow from 7.0.0 to 14.0.1 in /examples/research_projects/decision_transformer | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"OK, I won't notify you again about this release, but will get in touch when a new version is available. If you'd rather skip all updates until the next major or minor version, let me know by commenting `@dependabot ignore this major ... | 1,699 | 1,699 | 1,699 | CONTRIBUTOR | null | Bumps [pyarrow](https://github.com/apache/arrow) from 7.0.0 to 14.0.1.
<details>
<summary>Commits</summary>
<ul>
<li><a href="https://github.com/apache/arrow/commit/ba537483618196f50c67a90a473039e4d5dc35e0"><code>ba53748</code></a> MINOR: [Release] Update versions for 14.0.1</li>
<li><a href="https://github.com/apache/... | {
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https://api.github.com/repos/huggingface/transformers/issues/27419 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27419/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27419/comments | https://api.github.com/repos/huggingface/transformers/issues/27419/events | https://github.com/huggingface/transformers/pull/27419 | 1,986,516,272 | PR_kwDOCUB6oc5fFRdV | 27,419 | Bump pyarrow from 1.0.1 to 14.0.1 in /examples/research_projects/lxmert | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@dependabot ignore this major version",
"OK, I won't notify you about version 14.x.x again, unless you re-open this PR."
] | 1,699 | 1,699 | 1,699 | CONTRIBUTOR | null | Bumps [pyarrow](https://github.com/apache/arrow) from 1.0.1 to 14.0.1.
<details>
<summary>Commits</summary>
<ul>
<li><a href="https://github.com/apache/arrow/commit/ba537483618196f50c67a90a473039e4d5dc35e0"><code>ba53748</code></a> MINOR: [Release] Update versions for 14.0.1</li>
<li><a href="https://github.com/apache/... | {
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https://api.github.com/repos/huggingface/transformers/issues/27418 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27418/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27418/comments | https://api.github.com/repos/huggingface/transformers/issues/27418/events | https://github.com/huggingface/transformers/issues/27418 | 1,986,504,289 | I_kwDOCUB6oc52Z6Zh | 27,418 | Flax T5 models (at least) should use scan over layers technique | {
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"cc @sanchit-gandhi ",
"Hey @colehaus! Sorry for the late reply here. We've currently decided not to implement `scan` for the Flax models in Transformers. You can see a brief reason for this here: https://github.com/huggingface/transformers/pull/24587#discussion_r1347737942\r\n\r\nHappy to re-open the conversatio... | 1,699 | 1,704 | 1,704 | NONE | null | ### Feature request
See the technique described [here](https://docs.kidger.site/equinox/tricks/#improve-compilation-speed-with-scan-over-layers) and [here](https://github.com/google-research/t5x/blob/main/t5x/examples/scalable_t5/README.md#scan-over-layers). The essence is using a JAX `scan` instead of a python loop t... | {
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https://api.github.com/repos/huggingface/transformers/issues/27417 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27417/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27417/comments | https://api.github.com/repos/huggingface/transformers/issues/27417/events | https://github.com/huggingface/transformers/pull/27417 | 1,986,502,145 | PR_kwDOCUB6oc5fFOTH | 27,417 | Bump pyarrow from 1.0.1 to 14.0.1 in /examples/research_projects/visual_bert | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@dependabot ignore this major version",
"OK, I won't notify you about version 14.x.x again, unless you re-open this PR."
] | 1,699 | 1,699 | 1,699 | CONTRIBUTOR | null | Bumps [pyarrow](https://github.com/apache/arrow) from 1.0.1 to 14.0.1.
<details>
<summary>Commits</summary>
<ul>
<li><a href="https://github.com/apache/arrow/commit/ba537483618196f50c67a90a473039e4d5dc35e0"><code>ba53748</code></a> MINOR: [Release] Update versions for 14.0.1</li>
<li><a href="https://github.com/apache/... | {
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"(Also, after the upgrade I get this warning:\r\n\r\nSome weights of the model checkpoint at t5-base were not used when initializing FlaxT5ForConditionalGeneration: {('decoder', 'block', '0', 'layer', '1', 'EncDecAttention', 'relative_attention_bias', 'kernel')}\r\n- This IS expected if you are initializing FlaxT5F... | 1,699 | 1,701 | 1,699 | NONE | null | ### System Info
- `transformers` version: 4.35.0
- Platform: Linux-5.19.0-45-generic-x86_64-with-glibc2.35
- Python version: 3.11.6
- Huggingface_hub version: 0.16.4
- Safetensors version: 0.3.2
- Accelerate version: not installed
- Accelerate config: not found
- PyTorch version (GPU?): not installed (NA)
- Te... | {
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https://api.github.com/repos/huggingface/transformers/issues/27415 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27415/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27415/comments | https://api.github.com/repos/huggingface/transformers/issues/27415/events | https://github.com/huggingface/transformers/pull/27415 | 1,986,336,751 | PR_kwDOCUB6oc5fEqPh | 27,415 | Adding LeakyReLU | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Failing tests are note related to this PR: \r\n`examples/pytorch/test_accelerate_examples.py:176: AssertionError`\r\n`tests/models/auto/test_tokenization_auto.py:428: AssertionError`",
"@rafaelpadilla Can you rebase on main? There ... | 1,699 | 1,700 | 1,700 | CONTRIBUTOR | null | # What does this PR do?
Simple thing.... it includes LeakyReLU in the `ACT2CLS`.
Noticed that the RTDetr official implementation supports "leaky_relu" ([here](https://github.com/lyuwenyu/RT-DETR/blob/3330eca679a7d7cce16bbb10509099174a2f40bf/rtdetr_pytorch/src/nn/backbone/common.py#L70)), which is not being mapped i... | {
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https://api.github.com/repos/huggingface/transformers/issues/27414 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27414/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27414/comments | https://api.github.com/repos/huggingface/transformers/issues/27414/events | https://github.com/huggingface/transformers/pull/27414 | 1,986,131,840 | PR_kwDOCUB6oc5fD9Yf | 27,414 | remove failing tests and clean FE files | {
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"Could you run the feature extraction tests for all the audio models to double check they're passing before merging please! ",
"Sure thing!",
"I've double check every audio models! Everything passes",
"_The documentation is not available anymore as the PR was closed or merged._",
"Cool - do you have permiss... | 1,699 | 1,699 | 1,699 | COLLABORATOR | null | # What does this PR do?
Fixes [this](https://app.circleci.com/pipelines/github/huggingface/transformers/77846/workflows/8ed051fc-a105-462e-9097-91e919374c6e/jobs/992100), which was introduced by #26339.
To explain a bit, in #26339 I've mutualised an overriding of `to_dict` which deleted `mel_filters` and `windows... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,699 | 1,699 | 1,699 | COLLABORATOR | null | # What does this PR do?
This file is also a central file related to tests. If it has some modification and only this file, currently no test job defined in it would run. (`empty` job). We have been cheated by green CI those were actually empty.
Let's run all tests in this case. | {
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"cc @LysandreJik ",
"Curious what you think @muellerzr @pacman100 ",
"Overall I can see this being a pretty nice idea. Made some nits to improve. cc @SunMarc for your thoughts as well :) ",
"Would it be possible to eventually offload this to `accelerate`?",
"> Would it be possible to eventually offload this... | 1,699 | 1,707 | null | CONTRIBUTOR | null | # What does this PR do?
Fixes #20072 and addresses the second part of https://github.com/huggingface/peft/issues/868
Models with offloaded weights are currently incompatible with `save_pretrained`. This PR allows large models that are loaded onto the gpu and cpu to be saved, which is particularly useful for big m... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_27411). All of your documentation changes will be reflected on that endpoint.",
"Before moving forward with tests and advanced docs, I would love to have an early feedback of the API that is described in the PR description.... | 1,699 | 1,701 | 1,701 | CONTRIBUTOR | null | # What does this PR do?
Introduces a new feature - fused module generation using `autoawq` library. Users need to specify modules that they want to fuse inside `fusing_mapping`.
The API is as follows:
```python
import torch
from transformers import AutoTokenizer, AutoModelForCausalLM, AwqConfig, TextStreame... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_27410). All of your documentation changes will be reflected on that endpoint."
] | 1,699 | 1,699 | 1,699 | CONTRIBUTOR | null | null | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,699 | 1,700 | 1,700 | COLLABORATOR | null | # What does this PR do?
Following, [High Severity CVE](https://github.com/advisories/GHSA-j7hp-h8jx-5ppr), trying to update the pinned versions | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Still get `@4f100318f499cff48b62555ca7d96ad97d7cb9be`, I will check check!!!!!!",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_27408). All of your documentation changes will be reflecte... | 1,699 | 1,699 | 1,699 | COLLABORATOR | null | # What does this PR do?
Fixfixfix | {
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Adds indexing to the cache, as `generate` relies on things like `past_key_values[0][0].shape` (the first set of indexes being 0 for the attention `key` and 1 for the attention `value`).
After this change, the following snippet produces the same result as before:
```py
from transformers i... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"I will merge once something on main is fixed. (should be soon)"
] | 1,699 | 1,699 | 1,699 | CONTRIBUTOR | null | Related to https://github.com/huggingface/transformers/pull/27389 and https://github.com/huggingface/transformers/pull/27393 (cc @amyeroberts @ydshieh).
The problem came from the fact that `transformers` test suite was trying to mock `huggingface_hub.utils.get_session` which is an internal method that I sometimes mo... | {
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"Hi @khabibulloevm, thanks for opening an issues, \r\n\r\nThis is a question best placed in our [forums](https://discuss.huggingface.co/). We try to reserve the github issues for feature requests and bug reports.\r\n\r\nThat being said, all of these files are used to construct a tokenizer which will perform tokeniz... | 1,699 | 1,702 | 1,702 | NONE | null | I want to use models from: [https://huggingface.co/ARTeLab/mbart-summarization-mlsum](https://stackoverflow.com/) in offline mode, meaning that after downloading them from Hugging Face, they will be saved locally and I will be able to use them offline. However, I don't know how to do this. If anyone has already figured... | {
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] | 1,699 | 1,699 | 1,699 | CONTRIBUTOR | null | # What does this PR do?
This PR solves the issue https://github.com/huggingface/transformers/pull/27398 tried to address, but instead was an even more subtle bug that has existed in the workflow:
When using a cache (such as any PR that has been opened and ran), if a git installed dependency (such as `accelerate`)... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,699 | 1,699 | 1,699 | MEMBER | null | As @philschmid noticed, `apply_chat_template` requires `jinja` version 3.x, but it's possible for some users to still have `2.x` installed. We now raise a useful error in this case. | {
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https://api.github.com/repos/huggingface/transformers/issues/27402 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27402/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27402/comments | https://api.github.com/repos/huggingface/transformers/issues/27402/events | https://github.com/huggingface/transformers/pull/27402 | 1,985,786,160 | PR_kwDOCUB6oc5fCxgm | 27,402 | Fix `Owlv2` checkpoint name and a default value in `Owlv2VisionConfig` | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,699 | 1,699 | 1,699 | COLLABORATOR | null | # What does this PR do?
See comment. | {
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https://api.github.com/repos/huggingface/transformers/issues/27401 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27401/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27401/comments | https://api.github.com/repos/huggingface/transformers/issues/27401/events | https://github.com/huggingface/transformers/pull/27401 | 1,985,785,664 | PR_kwDOCUB6oc5fCxZr | 27,401 | Translating `en/model_doc` docs to Japanese. | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_27401). All of your documentation changes will be reflected on that endpoint."
] | 1,699 | 1,700 | 1,700 | CONTRIBUTOR | null | # What does this PR do?
translating `en/model_doc` docs to Japanese.
Fixes #27392
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [ ] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/main/C... | {
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https://api.github.com/repos/huggingface/transformers/issues/27400 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27400/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27400/comments | https://api.github.com/repos/huggingface/transformers/issues/27400/events | https://github.com/huggingface/transformers/pull/27400 | 1,985,758,753 | PR_kwDOCUB6oc5fCrhS | 27,400 | update Bark FA2 docs | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thanks! Merging!"
] | 1,699 | 1,699 | 1,699 | COLLABORATOR | null | # What does this PR do?
Following @ArthurZucker's [review](https://github.com/huggingface/transformers/pull/27364#pullrequestreview-1722408067) in #27634, I've added a section on FA2 in Bark readme and a mention of Bark FA2 support in a section on FA2!
Note that this comment https://github.com/huggingface/transf... | {
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https://api.github.com/repos/huggingface/transformers/issues/27399 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27399/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27399/comments | https://api.github.com/repos/huggingface/transformers/issues/27399/events | https://github.com/huggingface/transformers/pull/27399 | 1,985,658,229 | PR_kwDOCUB6oc5fCVS6 | 27,399 | Fix fuyu checkpoint repo in `FuyuConfig` | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,699 | 1,699 | 1,699 | COLLABORATOR | null | # What does this PR do?
There is no `adept/fuyu-8b-base` on the Hub. | {
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https://api.github.com/repos/huggingface/transformers/issues/27398 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27398/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27398/comments | https://api.github.com/repos/huggingface/transformers/issues/27398/events | https://github.com/huggingface/transformers/pull/27398 | 1,985,634,293 | PR_kwDOCUB6oc5fCQCF | 27,398 | Skip flaky accelerate test | {
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"@amyeroberts can you link to a failure? I thought #27378 fixed it :( (I tried to run every combo to see what that value would be)",
"@muellerzr Sure! Here's two CI runs with the test failing after rebasing on main: \r\n* https://app.circleci.com/pipelines/github/huggingface/transformers/77801/workflows/57ee7a82-... | 1,699 | 1,699 | 1,699 | COLLABORATOR | null | # What does this PR do?
Skipping another flaky accelerate tests until values have been aligned with accelerate library
cc @muellerzr | {
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https://api.github.com/repos/huggingface/transformers/issues/27397 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27397/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27397/comments | https://api.github.com/repos/huggingface/transformers/issues/27397/events | https://github.com/huggingface/transformers/issues/27397 | 1,985,631,869 | I_kwDOCUB6oc52WlZ9 | 27,397 | SafetensorError: Error while deserializing header: InvalidHeaderDeserialization when open .safetensor model | {
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"Hi @adhiiisetiawan, thanks for reporting! \r\n\r\nSo that we can best help you, could you: \r\n* include how the model is created before passing to the trainer? \r\n* confirm if this code previously working on an old version of transformers? \r\n* provide the running environment: run `transformers-cli env` in the... | 1,699 | 1,706 | 1,699 | NONE | null | ### System Info
Hi guys, i just fine tune alpaca (LLaMA 7B base model) with custom dataset and using trainer API. After completing the training process, I received the following error:
```python
SafetensorError Traceback (most recent call last)
<ipython-input-16-8ff7a1776602> in <cell ... | {
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https://api.github.com/repos/huggingface/transformers/issues/27396 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27396/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27396/comments | https://api.github.com/repos/huggingface/transformers/issues/27396/events | https://github.com/huggingface/transformers/issues/27396 | 1,985,606,848 | I_kwDOCUB6oc52WfTA | 27,396 | Safetensor boolean is wrong in modeling utils | {
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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... | 1,699 | 1,702 | 1,702 | COLLABORATOR | null | # Description
In [`load_pretrained_model`](https://github.com/huggingface/transformers/blob/3258ff93304078b9e27d752e6c19d3813f664855/src/transformers/modeling_utils.py#L3573), the `is_safetensors` boolean doesn't seem to work as expected.
To be more specific, `is_safetensors` is defined at the [beginning of the m... | {
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https://api.github.com/repos/huggingface/transformers/issues/27395 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27395/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27395/comments | https://api.github.com/repos/huggingface/transformers/issues/27395/events | https://github.com/huggingface/transformers/pull/27395 | 1,985,576,958 | PR_kwDOCUB6oc5fCDej | 27,395 | Fix M4T weights tying | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"This shouldn't be needed, the weights should already be tied at init time.\r\n\r\nEdit: I looked a bit more closely:\r\n\r\n- `no_init_weights` means all tensors are initialized as meta tensors (all shared with basically a null point... | 1,699 | 1,699 | 1,699 | COLLABORATOR | null | # What does this PR do?
Following some failing tests [here](https://github.com/huggingface/transformers/actions/runs/6806630933/job/18508287020), I've pinpointed the bug to a tying weight issue ! This fixes the issue
cc @ydshieh, @LysandreJik and @amyeroberts
Also cc @Narsil who had fix a related seamlessM4... | {
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https://api.github.com/repos/huggingface/transformers/issues/27394 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27394/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27394/comments | https://api.github.com/repos/huggingface/transformers/issues/27394/events | https://github.com/huggingface/transformers/pull/27394 | 1,985,367,586 | PR_kwDOCUB6oc5fBVmo | 27,394 | Fix `from_pt` flag when loading with `safetensors` | {
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"`ci/circleci: tests_torch` is treated in another PR, so not relevant here.",
"_The documentation is not available anymore as the PR was closed or merged._",
"> Not sure it's really necessary, but maybe a comment to say those methods not only deal with pytorch checkpoint but also safetensors.\r\n> \r\n> (The na... | 1,699 | 1,699 | 1,699 | MEMBER | null | `from_pt` flag should continue working when specifying `safe_serialization=True`. The safetensors file will be in the PyTorch format, so it's not a stretch to expect the flag to be here to load it (it works without the flag `from_pt=True` as well).
Not supporting `from_pt=True` for this is a breaking change as exist... | {
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https://api.github.com/repos/huggingface/transformers/issues/27393 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27393/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27393/comments | https://api.github.com/repos/huggingface/transformers/issues/27393/events | https://github.com/huggingface/transformers/pull/27393 | 1,985,307,622 | PR_kwDOCUB6oc5fBIiC | 27,393 | Skip failing cache call tests | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,699 | 1,699 | 1,699 | COLLABORATOR | null | # What does this PR do?
See: https://github.com/huggingface/transformers/pull/27389
Skips tests which are currently failing because of incompatibilities with new huggingface_hub release
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"name": "WIP",
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"Thanks for the information!\r\nJust to be sure, would it be correct if I translate the rest of the `model_docs` that are not listed in the **Model_do section**?",
"> Thanks for the information!\n> Just to be sure, would it be correct if I translate the rest of the `model_docs` that are not listed in the **Model_... | 1,699 | 1,700 | 1,700 | CONTRIBUTOR | null | <!--
Note: Please search to see if an issue already exists for the language you are trying to translate.
-->
Hi!
Let's bring the documentation to all the Japanese-speaking community 🌐
Who would want to translate? Please follow the 🤗 [TRANSLATING guide](https://github.com/huggingface/transformers/blob/main... | {
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https://api.github.com/repos/huggingface/transformers/issues/27391 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27391/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27391/comments | https://api.github.com/repos/huggingface/transformers/issues/27391/events | https://github.com/huggingface/transformers/issues/27391 | 1,985,278,702 | I_kwDOCUB6oc52VPLu | 27,391 | bus error when load codellama2 34b | {
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"Hi @boundles, thanks for raising an issue. \r\n\r\nSo that we can best help you, can you make sure to follow the [issue template](https://github.com/huggingface/transformers/blob/main/.github/ISSUE_TEMPLATE/bug-report.yml) and include all important information such as: \r\n* The running environment: run `transform... | 1,699 | 1,702 | 1,702 | NONE | null | ### System Info
when I load model on 2*A6000 45G, bus error occurs
`model_path = 'CodeLlama-34b-hf'
model = AutoModelForCausalLM.from_pretrained(model_path, load_in_8bit=True, device_map="auto", trust_remote_code=True)
print('finish load model')
`
looking for your reply, thanks
### Who can help?
_No respons... | {
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https://api.github.com/repos/huggingface/transformers/issues/27390 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27390/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27390/comments | https://api.github.com/repos/huggingface/transformers/issues/27390/events | https://github.com/huggingface/transformers/pull/27390 | 1,985,236,053 | PR_kwDOCUB6oc5fA5It | 27,390 | use `pytest.mark` directly | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Would just using `pytest.mark.flash_attn_test` instead of importing `from pytest import mark` work? This looks like a complex workaround for a feature which is just a nice-to-have e.g. (comments [here](https://github.com/huggingface/... | 1,699 | 1,699 | 1,699 | COLLABORATOR | null | # What does this PR do?
#25598 uses `from pytest import mark` which breaks the function `get_test_classes` as the test module would have `mark` as attribute, and
```
getattr(attr_value, "all_model_classes", [])
```
gives an `'MarkDecorator'` object (while `attr_value` is the `pytest.mark`).
This PR `import p... | {
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https://api.github.com/repos/huggingface/transformers/issues/27389 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27389/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27389/comments | https://api.github.com/repos/huggingface/transformers/issues/27389/events | https://github.com/huggingface/transformers/pull/27389 | 1,985,205,790 | PR_kwDOCUB6oc5fAykA | 27,389 | Pin huggingface_hub | {
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"Thanks a lot!",
"Looks like we still get 0.19 ...",
"😫 ",
"`accelerate`!\r\n\r\n```\r\n Attempting uninstall: huggingface-hub\r\n Found existing installation: huggingface-hub 0.17.3\r\n Uninstalling huggingface-hub-0.17.3:\r\n Successfully uninstalled huggingface-hub-0.17.3\r\n Attempting unins... | 1,699 | 1,699 | 1,699 | COLLABORATOR | null | # What does this PR do?
Currently tests are failing on `test_torch` CI run e.g. [this one](https://app.circleci.com/pipelines/github/huggingface/transformers/77707/workflows/ababd81d-2704-4b31-914d-15784acfad8e/jobs/989825).
The tests failing relating to the recent release of the hub are:
```
FAILED tests/mode... | {
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https://api.github.com/repos/huggingface/transformers/issues/27388 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27388/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27388/comments | https://api.github.com/repos/huggingface/transformers/issues/27388/events | https://github.com/huggingface/transformers/pull/27388 | 1,985,062,319 | PR_kwDOCUB6oc5fAS_c | 27,388 | Update tiny model summary file | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"**Ignore this comment 🙏** \r\n\r\n```\r\n(py38) λ ruff check examples tests src utils setup.py conftest.py --fix\r\ntests\\models\\clvp\\test_modeling_clvp.py:284:64: F821 Undefined name `PipelineTesterMixin`\r\ntests\\models\\dpt\\... | 1,699 | 1,700 | 1,700 | COLLABORATOR | null | # What does this PR do?
Update tiny model summary file (to enable pipeline testing for recently added models).
----------------------------------------------------------------------------------------------
The following is a more detailed step on how to do this update (as a reference for the )
#### Steps
... | {
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https://api.github.com/repos/huggingface/transformers/issues/27387 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27387/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27387/comments | https://api.github.com/repos/huggingface/transformers/issues/27387/events | https://github.com/huggingface/transformers/issues/27387 | 1,985,045,469 | I_kwDOCUB6oc52UWPd | 27,387 | load tokenizer size is different config vocab_size | {
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"Hey! I recommend you to open the issue on the repo as we did not upload it and it might just be additional padding used for training that was not added to the tokenizer. ",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed ple... | 1,699 | 1,702 | 1,702 | NONE | null | ### System Info
transformers==4.35.0
python==3.10
ubuntu==20
### Who can help?
@ArthurZucker
### Information
- [ ] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or dataset (give detai... | {
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https://api.github.com/repos/huggingface/transformers/issues/27386 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27386/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27386/comments | https://api.github.com/repos/huggingface/transformers/issues/27386/events | https://github.com/huggingface/transformers/issues/27386 | 1,984,973,506 | I_kwDOCUB6oc52UErC | 27,386 | Do I need to conduct example skipping myself for IterableDataset data type when resuming from last_checkpoint? | {
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"No, the trainer does this under the hood. Check out the `_inner_training_loop`, iirc the logic lies in there",
"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... | 1,699 | 1,702 | 1,702 | NONE | null | ### System Info
transformers:4.27.0
torch 2.1.0
### Who can help?
@muellerzr, @pacman100
### Information
- [X] The official example scripts
- [ ] My own modified scripts
### Tasks
- [X] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or dataset (give details bel... | {
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https://api.github.com/repos/huggingface/transformers/issues/27385 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27385/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27385/comments | https://api.github.com/repos/huggingface/transformers/issues/27385/events | https://github.com/huggingface/transformers/issues/27385 | 1,984,890,876 | I_kwDOCUB6oc52Twf8 | 27,385 | Whitespace at the start of generated sentence remains or get removed | {
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"Hey! The reason for this is that the tokenizer by default prepends a space to any input. Thus when decoding it is skipped. ",
"Hi, Thanks for the clarification. Is there any way to make sure, the space present in the output?. In my use case, I want to check how much probability it assigns to whitespace at each t... | 1,699 | 1,702 | 1,702 | NONE | null | ### System Info
transformers version: 4.34.0
pytorch:1.12.1
python:3.8
I am running llama -2 (Llama-2-7b-hf).
If the generated content has whitepace at the beginning, the tokenizer skips it. For example: if tokens are [29871(id for space), id_for_Hey, id_for_there], the generated sentence is "Hey there".
token... | {
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https://api.github.com/repos/huggingface/transformers/issues/27384 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27384/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27384/comments | https://api.github.com/repos/huggingface/transformers/issues/27384/events | https://github.com/huggingface/transformers/issues/27384 | 1,984,844,151 | I_kwDOCUB6oc52TlF3 | 27,384 | Ignore whisper previous tokens during loss calculation | {
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"cc: @sanchit-gandhi ",
"I think the cleanest way of doing this is actually in the data collator, as per: https://github.com/huggingface/distil-whisper/blob/e35cbff09e04f6e710c72f33e0441d6bebc47ec1/training/run_distillation.py#L400",
"@sanchit-gandhi I think data collator may not be suitable here, since we are ... | 1,699 | 1,701 | 1,700 | NONE | null | ### Feature request
I am training whisper using previous prompts and according to whitepaper, its better to ignore the loss for previous tokens.
> We only mask out the training loss over the previous context text, and train the model to predict all other tokens
Which means:
For: `<|startofprev|>Here goes ... | {
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https://api.github.com/repos/huggingface/transformers/issues/27383 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27383/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27383/comments | https://api.github.com/repos/huggingface/transformers/issues/27383/events | https://github.com/huggingface/transformers/issues/27383 | 1,984,819,752 | I_kwDOCUB6oc52TfIo | 27,383 | decoder only beam search decoding indices usage | {
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"cc @gante ",
"Hey @Hustcketlyj 👋 \r\n\r\nThe beam indices ([docs](https://huggingface.co/docs/transformers/internal/generation_utils#transformers.generation.BeamSearchEncoderDecoderOutput.beam_indices)) are only -1 for unfilled positions ([reference in the code](https://github.com/huggingface/transformers/blob/... | 1,699 | 1,702 | 1,702 | NONE | null | ### System Info
I am using beam search decoding on opt-1.3b, and I wish to know which beam is selected as the final output along the generation process, I looked at beam_indices, but the size is prompt size+number of token generated, if I ignore the first prompt size indices, the remaining indices are all -1. So what ... | {
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https://api.github.com/repos/huggingface/transformers/issues/27382 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27382/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27382/comments | https://api.github.com/repos/huggingface/transformers/issues/27382/events | https://github.com/huggingface/transformers/issues/27382 | 1,984,789,657 | I_kwDOCUB6oc52TXyZ | 27,382 | Different PTB perplexity in transformers 4.31 vs 4.32 | {
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"Interesting issue. \r\nDo you see differences in padding and masks before the forward? Or it only shows in the logits?\r\nIs the issue still present with `seqlen < 4096`? like 1024?\r\n",
"Hey 🤗 ! Would recommend you to upgrade to the latest version, even if there is a bug and we fix it, we can't really do anyt... | 1,699 | 1,703 | 1,703 | NONE | null | ### System Info
python: 3.10
transformers 4.31 and 4.32
datasets: 2.14.6
pytorch 2.1.0 with cuda 11.8
OS: ubuntu 20.04
GPU: Various NVIDIA GPUs
CPU: Various Intel CPUs
I can reproduce this issue on multiple machines with different hardware configs.
### Who can help?
@ArthurZucker
@younesbelkada... | {
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https://api.github.com/repos/huggingface/transformers/issues/27381 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27381/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27381/comments | https://api.github.com/repos/huggingface/transformers/issues/27381/events | https://github.com/huggingface/transformers/issues/27381 | 1,984,664,494 | I_kwDOCUB6oc52S5Ou | 27,381 | `YolosImageProcessor` violates `longest_edge` constraint for certain images | {
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"Hi @xenova, thanks for reporting! \r\n\r\nLooking into it 🕵️♀️ ",
"@xenova Apologies for the delay - I've opened a PR to fix! ",
"@amyeroberts No worries! ;) Thanks so much!",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addr... | 1,699 | 1,703 | 1,703 | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.35.0
- Platform: Linux-5.15.120+-x86_64-with-glibc2.35
- Python version: 3.10.12
- Huggingface_hub version: 0.17.3
- Safetensors version: 0.4.0
- Accelerate version: not installed
- Accelerate config: not found
- PyTorch version (GPU?): 2.1.0+cu118 (False)
- Tensor... | {
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https://api.github.com/repos/huggingface/transformers/issues/27380 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27380/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27380/comments | https://api.github.com/repos/huggingface/transformers/issues/27380/events | https://github.com/huggingface/transformers/issues/27380 | 1,984,652,131 | I_kwDOCUB6oc52S2Nj | 27,380 | ValueError: Target module QuantLinear() is not supported. Currently, only `torch.nn.Linear` and `Conv1D` are supported. | {
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"cc @younesbelkada ",
"Hi @jason-brian-anderson \r\nThanks for the issue, there might be a regression but not sure\r\nAre you able to run this small snippet? The snippet below worked fine on my end (transformers main + PEFT 0.6.0)\r\n```python\r\nfrom transformers import AutoModelForCausalLM, GPTQConfig\r\nfrom p... | 1,699 | 1,702 | 1,702 | NONE | null | ### System Info
docker/python 3.9
### Who can help?
@muellerzr; @pacman100
### Information
- [ ] The official example scripts
- [X] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or dataset (give details be... | {
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https://api.github.com/repos/huggingface/transformers/issues/27379 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27379/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27379/comments | https://api.github.com/repos/huggingface/transformers/issues/27379/events | https://github.com/huggingface/transformers/issues/27379 | 1,984,616,448 | I_kwDOCUB6oc52StgA | 27,379 | dinov2 with REGISTERS | {
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"Hello! Could you kindly assign this task to me? I'm eager to take it on as my first contribution and greatly appreciate any guidance or considerations you can provide. Thank you in advance.",
"I am not a team member of hugging face, I can not 'assign the task to you'. But I believe you are very welcome to work o... | 1,699 | 1,699 | null | NONE | null | ### Model description
Dear huggingface team,
The fair team published an improved version of dinov2 [VISION TRANSFORMERS NEED REGISTERS](https://arxiv.org/abs/2309.16588). The models and checkpoints are available in the [dinov2 website](https://github.com/facebookresearch/dinov2#pretrained-backbones-via-pytorch-hu... | {
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https://api.github.com/repos/huggingface/transformers/issues/27378 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27378/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27378/comments | https://api.github.com/repos/huggingface/transformers/issues/27378/events | https://github.com/huggingface/transformers/pull/27378 | 1,984,553,671 | PR_kwDOCUB6oc5e-l1z | 27,378 | Change thresh in test | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,699 | 1,699 | 1,699 | CONTRIBUTOR | null | # What does this PR do?
Last little bit for the new accelerate dataloaders logic, the new results are at 0.51, *just* above our thresh so slightly tweaks the thresh to be passing.
(We will have our own CI running tests on examples etc here soon to catch these better :) ). IIRC these tests just verify it trains, w... | {
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"Hi @jojivk, thanks for raising this issue! \r\n\r\nWe don't officially support nightly releases as they're not guaranteed to be stable. Our versions of tensorflow and keras are pinned because automatically installing the latest release tends to lead to many breaking changes. If there is a change in the import stru... | 1,699 | 1,706 | 1,706 | NONE | null | ### System Info
With new changes for Keras (https://groups.google.com/g/keras-users/c/jgGcX730WGE), we are seeing issues with using Huggingface models (GPT-J, Stable Diffusion, & Vision Transformer). We saw that transformers restrict the versions for Tensorflow and Keras. https://github.com/huggingface/transformers/bl... | {
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https://api.github.com/repos/huggingface/transformers/issues/27376 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27376/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27376/comments | https://api.github.com/repos/huggingface/transformers/issues/27376/events | https://github.com/huggingface/transformers/issues/27376 | 1,984,176,435 | I_kwDOCUB6oc52RCEz | 27,376 | keyerror : mistral (for transformer version = 4.30) and Import Error Using `load_in_8bit=True` requires Accelerate: for transformer version > 4.30 | {
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"Hi @Abhaycnvrg, thanks for raising this issue! \r\n\r\nFirstly - please change your authentication key and ~remove it from this example~ (I removed it but it will still be in the history)- it should be secret",
"We have many requests for help, which we can only attend at a decent pace if you help us too. Could y... | 1,699 | 1,703 | 1,703 | NONE | null | ### System Info
transformer version : 4.30,4.31,4.34,4.35
python version : 3.11.1, 3.11.5,3.8
### Who can help?
_No response_
### Information
- [X] The official example scripts
- [ ] My own modified scripts
### Tasks
- [X] An officially supported task in the `examples` folder (such as GLUE/SQuAD,... | {
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https://api.github.com/repos/huggingface/transformers/issues/27375 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27375/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27375/comments | https://api.github.com/repos/huggingface/transformers/issues/27375/events | https://github.com/huggingface/transformers/pull/27375 | 1,984,071,968 | PR_kwDOCUB6oc5e88pf | 27,375 | Update the TF pin for 2.15 | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Seems to work locally! Marking this as ready for review.",
"@ydshieh I didn't know that! It seems to be caused by one of the dependencies being slightly behind - 2.14 is the most recent version, and 2.15 is in RC.\r\n\r\nI'm not su... | 1,699 | 1,700 | 1,700 | MEMBER | null | This PR updates the TF pin to allow TF 2.15. Leaving it as a draft for now while I make sure this doesn't break anything! | {
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https://api.github.com/repos/huggingface/transformers/issues/27374 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27374/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27374/comments | https://api.github.com/repos/huggingface/transformers/issues/27374/events | https://github.com/huggingface/transformers/pull/27374 | 1,984,063,275 | PR_kwDOCUB6oc5e86sl | 27,374 | translate debugging.md to chinese | {
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"@stevhliu\r\n\r\nhi, here is another pr for debugging doc. I think I can finish this section before next week.\r\n\r\nBest",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_27374). All of your documentation changes will be reflected on that endpoint."
] | 1,699 | 1,699 | 1,699 | CONTRIBUTOR | null | # What does this PR do?
Part of #26803
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md#start-contributing-pull-reques... | {
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"Hi @Trangle, thanks for raising this issue! \r\n\r\nFor the diff highlighted in the issue, this shouldn't affect the memory consumption of the model. This is just a change in type annotation. \r\n\r\nCould you provide some more details about the setup and what's being observed? Specifically: \r\n* What hardware ar... | 1,699 | 1,704 | 1,703 | NONE | null | ### System Info
transformers version: 4.35.0
Platform: Ubuntu22.04
Python version: 3.11
Huggingface_hub version: 0.17.3
Safetensors version: 0.4.0
Accelerate version: 0.24.1
Accelerate config: not found
PyTorch version (GPU?): 2.1.0+cu121 (True)
Tensorflow version (GPU?): not installed (NA)
Flax version (CP... | {
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https://api.github.com/repos/huggingface/transformers/issues/27372 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27372/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27372/comments | https://api.github.com/repos/huggingface/transformers/issues/27372/events | https://github.com/huggingface/transformers/pull/27372 | 1,983,911,859 | PR_kwDOCUB6oc5e8ZuJ | 27,372 | Fix tiny model script: not using `from_pt=True` | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,699 | 1,699 | 1,699 | COLLABORATOR | null | # What does this PR do?
After #27064, the checkpoint is saved with format `safetensors`. If we specify `from_pretrained("...", from_pt=True)` while the checkpoint is in `safetensors` format, we get error like `invalid load key *\xa0* (or *\xd8* etc.)`.
This PR remove the usage of `from_pt=True` and therefore fix ... | {
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"Hi @PriyaBSavithiri, thanks for opening an issue! \r\n\r\nAs noted in the warning message, Hugging Face Benchmarking utilis are deprecated and we are no longer actively maintaining them. To benchmark models, please use external benchmarking libraries. ",
"Thanks for the update @amyeroberts . I understand the dep... | 1,699 | 1,702 | 1,702 | NONE | null | Hi! I am using python==3.10, torch==1.13.0+cpu, transformers==4.35.0. I am trying to (cpu)benchmark the transformer models in pytorch framework using the command:
`python run_benchmark.py --models kakaobrain/align-base --batch_sizes 1 --sequence_lengths 384`
when I execute the command, am getting the atrribute e... | {
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https://api.github.com/repos/huggingface/transformers/issues/27370 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27370/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27370/comments | https://api.github.com/repos/huggingface/transformers/issues/27370/events | https://github.com/huggingface/transformers/issues/27370 | 1,983,745,146 | I_kwDOCUB6oc52PYx6 | 27,370 | Missing generation token for zephyr-beta | {
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"cc @Rocketknight1 ",
"cc @lewtun to this one, I think he wrote the chat template for Zephyr-beta!",
"Wait, no, my mistake! The issue is just that your version of `transformers` is slightly out of date @dt-ahmed-touila, and `add_generation_prompt` was only added in 4.35. Please `pip install --upgrade transforme... | 1,699 | 1,699 | 1,699 | NONE | null | ### System Info
transformers version: 4.34.0
tokenizers version: 0.14.1
Platform: macOS 13.5.1
Python version: 3.8.10
huggingface-hub version: 0.17.3
PyTorch version(GPU?): 2.0.1 (False)
Tensorflow version (GPU?): not installed (NA)
Flax version (CPU?/GPU?/TPU?): not installed (NA)
Jax version: not installed
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"It's literally 1-line change to avoid padding to 30s each time, can it be merged? @sanchit-gandhi",
"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... | 1,699 | 1,703 | 1,703 | CONTRIBUTOR | null | When generating with WhisperForConditionalGeneration and specifying max_length, padding and truncation, a mismatch can occur between the input length after preprocessing and the size of the positional embedding tensor.
This minimal change ensures the positional embeddings fit the input dimensions, avoiding the size ... | {
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"Hello, sorry for the late reply, this is a duplicate of #25744! 🤗 ",
"The Whisper model is trained on a context of fixed size (30 seconds = 1500 spectrogram frames = default max spectrogram length). It will give you gibberish if you go beyond this, since the embeddings will be randomly initialised. If you go be... | 1,699 | 1,701 | 1,701 | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.35.0
- Platform: Linux-6.2.0-36-generic-x86_64-with-glibc2.35
- Python version: 3.10.9
- Huggingface_hub version: 0.17.3
- Safetensors version: 0.4.0
- Accelerate version: 0.24.1
- Accelerate config: not found
- PyTorch version (GPU?): 2.0.0+cu118 (True)
- Tensorf... | {
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"my mistake"
] | 1,699 | 1,699 | 1,699 | CONTRIBUTOR | null | # What does this PR do?
<!--
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Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
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"Need to check run results: https://github.com/huggingface/transformers/actions/runs/6799119065",
"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,699 | 1,699 | 1,699 | COLLABORATOR | null | # What does this PR do?
Put doctest options back to `pyproject.toml`.
Fix #27345
Checked with a run https://github.com/huggingface/transformers/actions/runs/6800607292. The list of failing doctests is the same as before, so we are good with this change. | {
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"Hi @devgupta6, thanks for opening an issue! \r\n\r\nThe easiest and recommended way to make a model available in `transformers` is to add the modeling code directly on the hub: https://huggingface.co/docs/transformers/custom_models. Here is a more general guide on adding models: https://huggingface.co/docs/transfo... | 1,699 | 1,699 | null | NONE | null | ### Model description
It a generative artifical intelligence model. I have the architecture ready but I am facing the problem to interagte it with transformer architure. It would be great if you provide me assistance with this.
### Open source status
- [X] The model implementation is available
- [ ] The model weight... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thanks for the quick review, I've addressed your comments :hugs: ",
"Merging ! thanks for the quick reviews!"
] | 1,699 | 1,699 | 1,699 | COLLABORATOR | null | # What does this PR do?
Following a recent series of PRs and issues to improve Bark, this PR aims to add FA2 support to Bark. Bark self-attention class supports both causal and non-causal attention but otherwise changes are minimal.
I've also taken the opportunity to switch to `_prepare_4d_attention_mask` inste... | {
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Latest. installed from source.
### Who can help?
@sanchit-gandhi
Num_mel_bins are hardcoded in class [FlaxWhisperPreTrainedModel](https://github.com/huggingface/transformers/blob/b6dbfee0a21d333447b47887dbe2cb87720ebfd0/src/transformers/models/whisper/modeling_flax_whisper.py#L870)
Since num_m... | {
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"cc @sanchit-gandhi and @ylacombe ",
"Taking a look, thanks for taking the time to describe the issue! The code is not working though!",
"I believe this PR is taking care of this: #26699\r\n\r\n(#28007 refers to the same issue)",
"Thanks!"
] | 1,699 | 1,703 | 1,703 | NONE | null | ### System Info
- `transformers` version: 4.33.3
- Platform: Linux-5.15.0-88-generic-x86_64-with-glibc2.31
- Python version: 3.9.18
- Huggingface_hub version: 0.17.3
- Safetensors version: 0.3.3
- Accelerate version: 0.23.0
- Accelerate config: not found
- PyTorch version (GPU?): 2.0.1+cu117 (True)
- Tens... | {
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"Hi @rwood-97, thanks for raising this issue! \r\n\r\nAgreed - being able to pass in the masks to the image processor would be ideal! Feel free to ping me on a PR for review if you'd like to open one :) "
] | 1,699 | 1,704 | 1,704 | CONTRIBUTOR | null | ### Feature request
The [SAM image processor](https://github.com/huggingface/transformers/blob/main/src/transformers/models/sam/image_processing_sam.py) takes images as input and resizes them so that the longest edge is 1024 (using default values). This is the size expect as input fo the SAM model.
For inference, th... | {
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] | 1,699 | 1,699 | 1,699 | CONTRIBUTOR | null | # What does this PR do?
Fixes #27363. Whisper large-v3 uses 128 log-mel bins, instead of 80 for previous Whisper checkpoints. This changes the shape of the input tensors to the model. For the JAX trace to work when initialising the weights, we need to set the input shape correctly based on the model dims. | {
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] | 1,699 | 1,699 | 1,699 | COLLABORATOR | null | # What does this PR do?
Bridges the gap between the slow and fast version follow the updates in #26570 (similar updates were done to Llama)
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,699 | 1,699 | 1,699 | CONTRIBUTOR | null | # What does this PR do?
1. Currently 2 DeepSpeed tests are failing with the error `E AssertionError: False is not true : [zero3] /tmp/tmp5ddklgb9/checkpoint-5/pytorch_model.bin is not found`. This is because of the recent change of switching to `safetensors` as a default. This PR fixes the concerned tests.
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"Hi @philrwebb - thanks for opening a PR! \r\n\r\nCould you remove all of the formatting changes (splitting across lines) from the diff so that we can more easily review and assess the proposed changes? ",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this... | 1,699 | 1,702 | 1,702 | NONE | null | replaced tensor1 + tensor2 with torch.add(tensor1, tensor2) because the latter only allocates memory for output tensor. The tensor in question were hidden_states and residual. This was blowing up a google colab TPU out of memory.
# What does this PR do?
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"@amyeroberts do you know if I'm missing something. Thank for the help",
"Hi @nickponline I finally had the time to look into OneFormer.\r\n\r\nUploaded a demo notebook regarding fine-tuning here: https://github.com/NielsRogge/Transformers-Tutorials/blob/master/OneFormer/Fine_tune_OneFormer_for_semantic_segmentat... | 1,699 | 1,707 | null | NONE | null | ### System Info
- `transformers` version: 4.35.0.dev0
- Platform: macOS-13.4-arm64-arm-64bit
- Python version: 3.10.6
- Huggingface_hub version: 0.16.4
- Safetensors version: 0.3.2
- Accelerate version: not installed
- Accelerate config: not found
- PyTorch version (GPU?): 2.1.0 (False)
- Tensorflow version ... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_27355). All of your documentation changes will be reflected on that endpoint.",
"@ydshieh I've removed the commented out line."
] | 1,699 | 1,699 | 1,699 | CONTRIBUTOR | null | # What does this PR do?
`torch.range` is deprecated since PyTorch 0.4 and will be removed in a future PyTorch release.
This PR updates it to `torch.arange`.
Fixed with TorchFix https://github.com/pytorch/test-infra/tree/main/tools/torchfix
## Before submitting
- [ ] This PR fixes a typo or improves the docs (y... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,699 | 1,699 | 1,699 | CONTRIBUTOR | null | # What does this PR do?
Removes a very old and unused param in the example script tests (`--fp16`) that wasn't ever really *part* of the example scripts, I think it was just a bad copy/paste when writing the tests potentially.
Fixes # (issue)
A few tests that were giving notice of weird args/params being pass... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"> inputs to the accelerate tests to align with the ones in the pytorch tests\r\n\r\nJust wondering where the is target of alignment (i.e. the pytorch tests). Otherwise, looks good to me as I trust you that the update makes sense (due... | 1,699 | 1,699 | 1,699 | CONTRIBUTOR | null | # What does this PR do?
This PR tweaks the inputs to the accelerate tests to align with the ones in the pytorch tests, which was causing test failures. (Plus some fixes in Accelerate main)
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_27352). All of your documentation changes will be reflected on that endpoint.",
"> There was a recent update which addressed the currently (unrelated) failing tests. Could you rebase on main to resolve these?\r\n\r\nDone\r\... | 1,699 | 1,700 | 1,699 | CONTRIBUTOR | null | # What does this PR do?
Adds a [DVCLive](https://dvc.org/doc/dvclive) callback. DVCLive is a logger for [DVC](https://dvc.org), which version data, models, metrics, etc. and keeps them connected to your Git repo. They can then be visualized in several different interfaces. For example, here is the output of [example... | {
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"@gante This commit is only for fixing `beam_search`. If you think the fix is good to go, I can also apply the same fix to `beam_sample`, `group_beam_search` and `constrained_beam_search`.",
"@gante I think the current tests regarding `beam_search` are using the results generated by previous \"buggy\" version, s... | 1,699 | 1,704 | 1,700 | CONTRIBUTOR | null | # What does this PR do?
This PR fixes issue #26624 . In the original implementation of beam search, the beam score for decoder-only models is normalized by the total length of both prompt and generated sequence. However, the length of prompt should not be included in the normalization step. This issue would cause an... | {
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"Sure, I can add one tomorrow 😉 "
] | 1,699 | 1,699 | 1,699 | COLLABORATOR | null | # What does this PR do?
Use `nospeech` instead of `nocaption` | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_27348). All of your documentation changes will be reflected on that endpoint."
] | 1,699 | 1,699 | 1,699 | CONTRIBUTOR | null | # What does this PR do?
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Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_27347). All of your documentation changes will be reflected on that endpoint."
] | 1,699 | 1,699 | 1,699 | CONTRIBUTOR | null | # What does this PR do?
This commit addresses the 'NoneType' object AttributeError within the IdeficsModel forward function. Previously, the 'device' attribute was accessed directly from input_ids, resulting in a potential 'NoneType' error. Now, the device is taken by the one properly calculated at the beginning of ... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Merge this now, but feel free to drop your insights if any @muellerzr 🙏 ",
"Hey @ydshieh, I had to do the same thing for [fuyu](https://github.com/huggingface/transformers/pull/26949#discussion_r1369058114) when I added the `devic... | 1,699 | 1,699 | 1,699 | COLLABORATOR | null | # What does this PR do?
Fix device issues in Kosmos-2
Fix #27301 | {
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"cc @ydshieh ",
"@diegovalenzuelaiturra Thank you a lot!\r\n\r\nI opened a draft PR #27366: we need to check if everything still run as expected. ",
"Reference: https://docs.pytest.org/en/stable/reference/customize.html"
] | 1,699 | 1,699 | 1,699 | NONE | null | probably
`[tool.pytest.ini_options]` instead of `[tool.pytest]`
https://github.com/huggingface/transformers/blob/88832c01c8a962b653874c4ce4ed8df5783ac5cd/pyproject.toml#L21-L23 | {
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