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https://api.github.com/repos/huggingface/transformers/issues/24370 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24370/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24370/comments | https://api.github.com/repos/huggingface/transformers/issues/24370/events | https://github.com/huggingface/transformers/issues/24370 | 1,765,169,267 | I_kwDOCUB6oc5pNlhz | 24,370 | Incorrect information on BlipImageProcessor documentation | {
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"Transferring to transformers",
"Hi @LukeBailey181, thanks for pointing out! \r\n\r\nWould you like to open a PR to update the documentation? This way you would get the git contribution. ",
"Wonderful yes I will create the PR!",
"This issue has been automatically marked as stale because it has not had recent ... | 1,686 | 1,690 | 1,690 | NONE | null | **Is your feature request related to a problem? Please describe.**
There is slightly incorrect information on the [BlipImageProcessor documentation](https://huggingface.co/docs/transformers/main/en/model_doc/blip#transformers.BlipImageProcessor).
**Describe the solution you'd like**
The documentation currently sa... | {
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https://api.github.com/repos/huggingface/transformers/issues/24095 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24095/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24095/comments | https://api.github.com/repos/huggingface/transformers/issues/24095/events | https://github.com/huggingface/transformers/pull/24095 | 1,746,772,875 | PR_kwDOCUB6oc5SdfDy | 24,095 | fix get_keys_to_not_convert function | {
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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 | # What does this PR do ?
Fix the behavior of the get_keys_to_not_convert function for the following cases:
- If the lm_head is tied, we won't be able to see it using the method named_parameters() and the last visible module was added instead -> using `named_children() `instead
- Fix tied_params variable that we... | {
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https://api.github.com/repos/huggingface/transformers/issues/24094 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24094/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24094/comments | https://api.github.com/repos/huggingface/transformers/issues/24094/events | https://github.com/huggingface/transformers/pull/24094 | 1,746,724,437 | PR_kwDOCUB6oc5SdUcF | 24,094 | fix blip2config int8 error to serialize json | {
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"cc @younesbelkada ",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_24094). All of your documentation changes will be reflected on that endpoint.",
"I ran `pip install -e .` on transformer main branch 8b169142f8b5735f25ad81313ee382350161d993\r\nThen ran the code snip... | 1,686 | 1,686 | 1,686 | CONTRIBUTOR | null |
# What does this PR do?
Running the following using transformers=4.30.0.dev0
```
bnb_config = BitsAndBytesConfig(
load_in_4bit=True,
bnb_4bit_use_double_quant=True,
bnb_4bit_quant_type="nf4",
bnb_4bit_compute_dtype=torch.bfloat16
)
model = AutoModelForVision2Seq.from_pretrained("Salesforc... | {
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https://api.github.com/repos/huggingface/transformers/issues/24093 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24093/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24093/comments | https://api.github.com/repos/huggingface/transformers/issues/24093/events | https://github.com/huggingface/transformers/pull/24093 | 1,746,723,861 | PR_kwDOCUB6oc5SdUUU | 24,093 | wrapped up efficient-memory contrastive search | {
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https://api.github.com/repos/huggingface/transformers/issues/24092 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24092/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24092/comments | https://api.github.com/repos/huggingface/transformers/issues/24092/events | https://github.com/huggingface/transformers/pull/24092 | 1,746,628,682 | PR_kwDOCUB6oc5Sc_LV | 24,092 | [BlenderBotSmall] Update 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?
Blenderbot small seems to be using `__start__` and `__end__`, updated the doc to reflect that.
Super hard to fin original source, but based on the tokenizer this is what is used. | {
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https://api.github.com/repos/huggingface/transformers/issues/24091 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24091/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24091/comments | https://api.github.com/repos/huggingface/transformers/issues/24091/events | https://github.com/huggingface/transformers/pull/24091 | 1,746,498,372 | PR_kwDOCUB6oc5Scie2 | 24,091 | ⚠️ Time to say goodbye to py37 | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,686 | 1,687 | 1,687 | COLLABORATOR | null | # What does this PR do?
[Sorry for the spams, GitHub had some issues]
Same as #24075, but that PR got freezed after I force pushed (after rebase), and my changes to address the comments were not able to appear)
(amy have already approved #24075)
----
Byebye!
EOL of python 3.7 is `2023/06/27`.
https... | {
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https://api.github.com/repos/huggingface/transformers/issues/24090 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24090/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24090/comments | https://api.github.com/repos/huggingface/transformers/issues/24090/events | https://github.com/huggingface/transformers/issues/24090 | 1,746,393,278 | I_kwDOCUB6oc5oF9i- | 24,090 | Deepspeed hang when tuning redpajama-3b | {
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"cc @stas00 ",
"Hello,\r\n\r\n```\r\naccelerator = Accelerator()\r\n```\r\nThis shouldn't be there as Trainer creates it internally now.\r\n\r\nWithout any deepspeed config, I'm confused why you are trying to use deepspeed launcher via `deepspeed tune.py`? \r\n\r\n",
"Please refer here https://huggingface.co/do... | 1,686 | 1,693 | 1,693 | NONE | null | ### System Info
transformers-cli says:
```
Copy-and-paste the text below in your GitHub issue and FILL OUT the two last points.
- `transformers` version: 4.30.0.dev0
- Platform: Linux-4.18.0-425.10.1.el8_7.x86_64-x86_64-with-glibc2.10
- Python version: 3.8.13
- Huggingface_hub version: 0.15.1
- Safetensors ... | {
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https://api.github.com/repos/huggingface/transformers/issues/24089 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24089/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24089/comments | https://api.github.com/repos/huggingface/transformers/issues/24089/events | https://github.com/huggingface/transformers/pull/24089 | 1,746,376,858 | PR_kwDOCUB6oc5ScH00 | 24,089 | Up pinned accelerate version | {
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"Let's wait for the patch and pin 0.20.1",
"_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?
Increases pinned accelerate version, and also let's the `is_accelerate_available` check see for a specific version, since now we care much more about just if `PartialState` is available.
Fixes # (issue)
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dis... | {
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https://api.github.com/repos/huggingface/transformers/issues/24088 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24088/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24088/comments | https://api.github.com/repos/huggingface/transformers/issues/24088/events | https://github.com/huggingface/transformers/pull/24088 | 1,746,375,500 | PR_kwDOCUB6oc5ScHiJ | 24,088 | Do not prepare lr scheduler as it as the right number of steps | {
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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?
Right now the LR scheduler is prepared by the Accelerate but it has a number of steps that already accounts for the number of processes. This results in the LR scheduler being stepp through num_processes too fast. This PR thus removes the lr_scheduler from the prepared objects.
Should fix ... | {
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https://api.github.com/repos/huggingface/transformers/issues/24087 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24087/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24087/comments | https://api.github.com/repos/huggingface/transformers/issues/24087/events | https://github.com/huggingface/transformers/pull/24087 | 1,746,360,616 | PR_kwDOCUB6oc5ScERt | 24,087 | [Not to merge before 2023/06/28] Time to say goodbye to py37 | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_24087). All of your documentation changes will be reflected on that endpoint."
] | 1,686 | 1,686 | 1,686 | COLLABORATOR | null | # What does this PR do?
Same as #24075, but that PR got freezed after I force pushed (after rebase), and my changes to address the comments were not able to appear)
----
Byebye!
EOL of python 3.7 is `2023/06/27`.
https://endoflife.date/python
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https://api.github.com/repos/huggingface/transformers/issues/24086 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24086/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24086/comments | https://api.github.com/repos/huggingface/transformers/issues/24086/events | https://github.com/huggingface/transformers/pull/24086 | 1,746,295,084 | PR_kwDOCUB6oc5Sb137 | 24,086 | Add bark | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"cc @sanchit-gandhi ",
"PR supersedes #23375",
"Hi @sanchit-gandhi , I think it's finally time for the final review! You might want to check the refactoring of `generate_text_semantic`, `generate_coarse`, `generate_fine`, but othe... | 1,686 | 1,691 | 1,689 | COLLABORATOR | null | This PR aims at integrating Bark, a TTS model, to `transformers`.
`Bark` was designed and trained by [Suno-AI team](https://github.com/suno-ai/bark) and is made of 4 main components:
- A `semantic model ` (also named `text model`), i.e a causal autoregressive transformer (GPT2-like), which takes into input a tokeni... | {
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"Notes about the tokenizer:\r\n\r\n1. This is not the VITS tokenizer but the one for MMS-TTS.\r\n2. The vocab doesn't have padding (or unknown) tokens in it, but uses token_id 0 for this. That breaks on the HF tokenizers because it will split the input text on the padding token, so if I set `pad_token_id = 0` then ... | 1,686 | 1,693 | 1,693 | CONTRIBUTOR | null | # What does this PR do?
Adds the VITS model for text-to-speech, in particular to support the MMS-TTS checkpoints (which use the same model architecture but a different tokenizer).
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_24084). All of your documentation changes will be reflected on that endpoint."
] | 1,686 | 1,686 | 1,686 | CONTRIBUTOR | null | fix base workflow name, follow up to https://github.com/huggingface/transformers/pull/24079
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https://api.github.com/repos/huggingface/transformers/issues/24083 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24083/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24083/comments | https://api.github.com/repos/huggingface/transformers/issues/24083/events | https://github.com/huggingface/transformers/pull/24083 | 1,746,183,961 | PR_kwDOCUB6oc5Sbdoi | 24,083 | Up pinned accelerate version | {
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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?
Increases pinned accelerate version, and also let's the `is_accelerate_available` check see for a specific version, since now we care much more about just if `PartialState` is available.
Fixes # (issue)
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dis... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"it worked !"
] | 1,686 | 1,700 | 1,686 | CONTRIBUTOR | null | testing #24079
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"cc @younesbelkada @ArthurZucker ",
"I think this has been fixed in https://github.com/huggingface/transformers/pull/23774 \r\nCan you try to install transformers with:\r\n```bash\r\npip install git+https://github.com/huggingface/transformers.git\r\n```",
"> I think this has been fixed in #23774 Can you try to ... | 1,686 | 1,686 | 1,686 | NONE | null | ### System Info
i am using Kaggle and I am using 2 t4 gpus.
### 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 b... | {
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https://api.github.com/repos/huggingface/transformers/issues/24080 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24080/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24080/comments | https://api.github.com/repos/huggingface/transformers/issues/24080/events | https://github.com/huggingface/transformers/pull/24080 | 1,746,156,599 | PR_kwDOCUB6oc5SbXro | 24,080 | Byebye pytorch 1.9 | {
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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?
PyTorch 1.9 was related on 2021/06/15. It's sad, but 2 years is long enough :-) | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_24079). All of your documentation changes will be reflected on that endpoint."
] | 1,686 | 1,686 | 1,686 | CONTRIBUTOR | null | Companion pr to https://github.com/huggingface/doc-builder/pull/379 | {
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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/24077 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24077/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24077/comments | https://api.github.com/repos/huggingface/transformers/issues/24077/events | https://github.com/huggingface/transformers/pull/24077 | 1,745,957,500 | PR_kwDOCUB6oc5Saspo | 24,077 | Fix expected value in tests of the test fetcher | {
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] | 1,686 | 1,686 | 1,686 | COLLABORATOR | null | # What does this PR do?
#24051 broke a test in the test suite of the test fecther. The PR did not run the CI because the modification was detected as a docstring modification. This is due to a """ in the middle of the file that this PR also fixes. | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"LGTM! If the torch value is `3` we could probably reduce the TF value even lower, but let's try this first.",
"`7` avoids the issue, but still 96~98% memory. Change it to `6` and will merge.",
"The docs for this PR live [here](ht... | 1,686 | 1,686 | 1,686 | COLLABORATOR | null | # What does this PR do?
... and to @Rocketknight1
To be serious: to avoid OOM issue introduced in #23234. Note `torch_job` use `pytest_num_workers=3`.
See [this comment](https://github.com/huggingface/transformers/pull/24071#issuecomment-1580778679). | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"test failures will be addressed soon by related authors. Not related to this PR."
] | 1,686 | 1,686 | 1,686 | COLLABORATOR | null | # What does this PR do?
Byebye!
EOL of python 3.7 is `2023/06/27`.
https://endoflife.date/python
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https://api.github.com/repos/huggingface/transformers/issues/24074 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24074/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24074/comments | https://api.github.com/repos/huggingface/transformers/issues/24074/events | https://github.com/huggingface/transformers/pull/24074 | 1,745,821,268 | PR_kwDOCUB6oc5SaOtc | 24,074 | [`Hub`] Add `safe_serialization` in push_to_hub | {
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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?
This PR adds the possibility to directly push safetensors weight on the Hub, as the `save_pretrained` method was called with default args and it is currently not possible to pass kwargs to use `safe_serialization=True`.
cc @sgugger @Narsil
Related: https://github.com/huggingface/peft/p... | {
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https://api.github.com/repos/huggingface/transformers/issues/24073 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24073/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24073/comments | https://api.github.com/repos/huggingface/transformers/issues/24073/events | https://github.com/huggingface/transformers/pull/24073 | 1,745,720,414 | PR_kwDOCUB6oc5SZ4io | 24,073 | Support PEFT models when saving the model using trainer | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"How do we make sure this is the behavior when checkpointing the model during training?\r\n\r\nThanks!",
"hi @zachschillaci27 ,\r\nyou can check the folders that are produced by trainer during training and make sure they contain `ad... | 1,686 | 1,702 | 1,686 | CONTRIBUTOR | null | # What does this PR do?
Currently if one calls `save_model` using the Trainer or `push_to_hub` with a PEFT model, it will push the base model instead of the adapters
to reproduce (after `pip install trl peft transformers`):
```python
from datasets import load_dataset
from trl import SFTTrainer
from peft impor... | {
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https://api.github.com/repos/huggingface/transformers/issues/24072 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24072/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24072/comments | https://api.github.com/repos/huggingface/transformers/issues/24072/events | https://github.com/huggingface/transformers/issues/24072 | 1,745,605,167 | I_kwDOCUB6oc5oC9Iv | 24,072 | Assistant Model With Falcon Fails | {
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"Hey thanks for reporting! Will have a look asap! Though the model is on the hub we should try to make this run smoothly! ",
"Hey @yrapop01 👋 \r\n\r\nI've had a look at assisted generation, and here's what I found:\r\n1. The immediate error you see can be fixed -- Falcon has a custom cache structure, so it needs... | 1,686 | 1,691 | 1,691 | NONE | null | ### System Info
transformers version: 4.30.0.dev0 (and also 4.29.2)
python version: 3.9
platform: sagemaker notebook on aws running on g5.12xlarge
### Who can help?
@ArthurZucker @younesbelkada @gante
### Information
- [ ] The official example scripts
- [X] My own modified scripts
### Tasks
- [X] An officiall... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_24071). All of your documentation changes will be reflected on that endpoint.",
"Adding @frostming's fix for Keras 2.13 to this PR as well",
"Tests are passing now, pinging @ydshieh and @amyeroberts for quick review! Unfo... | 1,686 | 1,686 | 1,686 | MEMBER | null | cc @ydshieh - this will probably break some things, but if I can make it work it should reduce the memory usage during building a lot | {
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https://api.github.com/repos/huggingface/transformers/issues/24070 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24070/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24070/comments | https://api.github.com/repos/huggingface/transformers/issues/24070/events | https://github.com/huggingface/transformers/issues/24070 | 1,745,549,227 | I_kwDOCUB6oc5oCver | 24,070 | no default_to_square and max_size passed [self.resize(image=image, size=self.size, resample=self.resample) for image in images] | {
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"Hi @cqray1990, thanks for raising this issue.\r\n\r\nSo that we can be help, could you explain a bit more about the expected behaviour and what you're trying to do with the image processor? Do you have a checkpoint on the hub you could share? \r\n\r\nTo change the resizing behaviour of the image processor, you can... | 1,686 | 1,689 | 1,689 | NONE | null | ### System Info
ubantu 20.04 cuda 11.6 cudnn8.8 transformer 4.24.0
### Who can help?
@amyeroberts @sgugger @vanpelt
### 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 ta... | {
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https://api.github.com/repos/huggingface/transformers/issues/24069 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24069/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24069/comments | https://api.github.com/repos/huggingface/transformers/issues/24069/events | https://github.com/huggingface/transformers/issues/24069 | 1,745,544,999 | I_kwDOCUB6oc5oCucn | 24,069 | [LEDModel, Longformer] Make_fx compatibility | {
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"@Giuseppe5 As with #23907, happy to look at a PR with a fix! \r\n\r\ncc @ArthurZucker @younesbelkada ",
"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 fo... | 1,686 | 1,689 | 1,689 | NONE | null | ### System Info
- transformers version: 4.29.2
- Platform: Linux
- Python version: 3.8.16
- PyTorch version: 2.0.1
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLU... | {
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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... | 1,686 | 1,693 | 1,693 | CONTRIBUTOR | null | ### Feature request
I see that the `.to()` [method](https://github.com/huggingface/transformers/blob/f1660d7e23d4432513fe060bde4f9b7b29f05204/src/transformers/tokenization_utils_base.py#L751) of `BatchEncoding` returned by tokenizers only supports the `device` keyword argument.
However, the `BatchFeature` returned ... | {
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https://api.github.com/repos/huggingface/transformers/issues/24067 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24067/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24067/comments | https://api.github.com/repos/huggingface/transformers/issues/24067/events | https://github.com/huggingface/transformers/pull/24067 | 1,745,382,614 | PR_kwDOCUB6oc5SYufa | 24,067 | fix executable batch size issue | {
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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?
1. Fixes #24050
2. Context: We weren't handling properly the `auto_find_batch_size=True` case. Here, we need to free all of the stored model references in the Accelerator each time as mentioned in the https://github.com/huggingface/accelerate/blob/main/examples/by_feature/automatic_gradient_a... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_24065). All of your documentation changes will be reflected on that endpoint.",
"@ArthurZucker @younesbelkada Please kindly have a review: )",
"Hey @gongbaitao ! Thanks a lot for opening a PR and contributing to the HF ec... | 1,686 | 1,689 | 1,689 | CONTRIBUTOR | null | # What does this PR do?
Adds the [CPM-Bee](https://github.com/OpenBMB/CPM-Bee/tree/main) pytorch model.
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](https://github.com/huggingface/transfor... | {
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"cc @ArthurZucker @younesbelkada ",
"Hey! Thanks a lot for opening this PR 🔥 \r\nWe have been pushing a lot for models to be on the hub, as it is a lot easier to implement ! What do you think about trying [this tutorial out](https://huggingface.co/docs/transformers/custom_models)! ",
"> Hey! Thanks a lot for o... | 1,686 | 1,687 | 1,687 | NONE | null | # What does this PR do?
Adds the VGCN-BERT model from [VGCN-BERT: Augmenting BERT with Graph Embedding for Text Classification](https://arxiv.org/abs/2004.05707) paper.
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https://api.github.com/repos/huggingface/transformers/issues/24063 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24063/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24063/comments | https://api.github.com/repos/huggingface/transformers/issues/24063/events | https://github.com/huggingface/transformers/issues/24063 | 1,744,729,328 | I_kwDOCUB6oc5n_nTw | 24,063 | Add option for `trust_remote_code=True` on transformers-cli download | {
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"Sounds like a good addition to me! \r\n\r\ncc @sgugger who's been doing a lot of the work enabling remote code integration. ",
"Yes, happy to review a PR!",
"thanks @amyeroberts and @sgugger , is there any other argument that worth adding and loading a model?"
] | 1,686 | 1,686 | 1,686 | MEMBER | null | ### Feature request
Currently is very convenient to download models using `transformers-cli download`, however some models need an extra argument for `trust_remote_code=True`
for example
`transformers-cli download "tiiuae/falcon-40b"`
### Motivation
Would it make sense to add
`transformers-cli download ... | {
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https://api.github.com/repos/huggingface/transformers/issues/24062 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24062/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24062/comments | https://api.github.com/repos/huggingface/transformers/issues/24062/events | https://github.com/huggingface/transformers/pull/24062 | 1,744,698,490 | PR_kwDOCUB6oc5SWaek | 24,062 | [Wav2Vec2] Fix torch srcipt | {
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"It seems like `torch.trace(...)` doesn't like property function as it'll always call them. Since we've added the property as a private property in https://github.com/huggingface/transformers/pull/23813, let's just go the simplest way and change it to a function. \r\n\r\nThis PR should fix: \r\n```\r\ntests/models/... | 1,686 | 1,686 | 1,686 | MEMBER | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/24061 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24061/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24061/comments | https://api.github.com/repos/huggingface/transformers/issues/24061/events | https://github.com/huggingface/transformers/issues/24061 | 1,744,638,654 | I_kwDOCUB6oc5n_RK- | 24,061 | Convert PyTorch checkpoint for more recent models | {
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"For each of the models added to the transformers repo, conversion scripts are created to port the weights from the original weights to the library format. You can find these under [models' respective folders](https://github.com/huggingface/transformers/tree/main/src/transformers/models) e.g. for [longformer](https... | 1,686 | 1,689 | 1,689 | NONE | null | ### Feature request
Is it possible to add more examples for model conversion between PyTorch models e.g. convert_bart_original_pytorch_checkpoint_to_pytorch.py in more recent and popular architectures? (e.g. mt5)
### Motivation
It would really accelerate setting up new feature/model development using pretained model... | {
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https://api.github.com/repos/huggingface/transformers/issues/24060 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24060/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24060/comments | https://api.github.com/repos/huggingface/transformers/issues/24060/events | https://github.com/huggingface/transformers/issues/24060 | 1,744,484,875 | I_kwDOCUB6oc5n-roL | 24,060 | Empty prediction masks after switching from transformers 4.26.1 to transformers 4.29.0 | {
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"Hi @alzaia, thanks for reporting this issue. \r\n\r\nTo help us dig into the problem, we need to be able to reproduce the issue. Could you share a minimal snippet that we could use to compare the versions? Specifically, a model checkpoint, any processing logic to produce `sample` and any additional information whi... | 1,686 | 1,689 | 1,689 | NONE | null | ### System Info
Hey guys, I have been working on the 4.26.1 version perfectly fine, but I wanted to switch to 4.29.0 to make use of the latest models (such as SAM). The issue I encounter is that when running my prediction code for models such as MaskFormer and Mask2Former, my outputs between versions 4.26.1 and 4.29.0... | {
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https://api.github.com/repos/huggingface/transformers/issues/24059 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24059/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24059/comments | https://api.github.com/repos/huggingface/transformers/issues/24059/events | https://github.com/huggingface/transformers/issues/24059 | 1,744,462,836 | I_kwDOCUB6oc5n-mP0 | 24,059 | Error with pip install in Colab Notebook | {
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"Thank you so much for flagging, just fixed the notebook. Closing the issue, feel free to re-open it if you see more issues!"
] | 1,686 | 1,686 | 1,686 | NONE | null | ### System Info
Google Colab
### Who can help?
@younesbelkada
### Information
- [X] The official example scripts
- [ ] My own modified scripts
### Tasks
- [X] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or dataset (give details below)
### Reproduction
1) C... | {
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https://api.github.com/repos/huggingface/transformers/issues/24058 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24058/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24058/comments | https://api.github.com/repos/huggingface/transformers/issues/24058/events | https://github.com/huggingface/transformers/pull/24058 | 1,744,337,274 | PR_kwDOCUB6oc5SVKv3 | 24,058 | Add AzureOpenAiAgent | {
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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_24058). All of your documentation changes will be reflected on that endpoint."
] | 1,686 | 1,686 | 1,686 | COLLABORATOR | null | # What does this PR do?
This PR adds an AzureOpenAiAgent, superceding #23355 since the contributor there does not seem to want to finish the PR.
Fixes #23324 | {
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"cc @pacman100 ",
"Hello, looking into this. In the meantime, could you try the main branch of transformers and accelerate and let us know if that works as expected? \r\n",
"Hi @pacman100, thanks for taking a look! When you say `main` branch, do you mean bumping the versions of `transformers` and `accelerate`?"... | 1,686 | 1,687 | 1,687 | NONE | null | ### System Info
* `transformers` version: 4.27.1
* Platform: Linux-5.19.0-41-generic-x86_64-with-glibc2.35
* Python version: 3.9.12
* Huggingface_hub version: 0.13.2
* PyTorch version (GPU?): 2.0.0+cu117 (True)
* Tensorflow version (GPU?): not installed (NA)
* Flax version (CPU?/GPU?/TPU?): not installed (NA)
... | {
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https://api.github.com/repos/huggingface/transformers/issues/24056 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24056/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24056/comments | https://api.github.com/repos/huggingface/transformers/issues/24056/events | https://github.com/huggingface/transformers/issues/24056 | 1,744,315,948 | I_kwDOCUB6oc5n-CYs | 24,056 | Multi GPU inference on RTX 4090 fails with RuntimeError: CUDA error: device-side assert triggered (Assertion `index >= -sizes[i] && index < sizes[i] && "index out of bounds"` failed.) | {
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"cc @Narsil @ArthurZucker @younesbelkada ",
"This torch error usually comes from bad vocabulary ids being sent to the model.\r\n\r\nWhat's odd is that is seems triggered by `device_map=\"auto\"` (it's the only modification with the working code, right ?)\r\nWhich shouldn't torch this in any way. I doubt the actua... | 1,686 | 1,703 | 1,687 | NONE | null | ### System Info
`transformers version`: 4.30.0.dev0
`Platform:` Linux 6.3.5-zen2-1-zen-x86_64-with-glibc2.37.3 on Arch
`Python version`: 3.10.9
`PyTorch version (GPU)`: 2.0.1+cu118 (True)
`peft version`: 0.4.0.dev0
`accelerate version`: 0.20.0.dev0
`bitsandbytes version`: 0.39.0
`nvidia driver version`: nvidia-... | {
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] | 1,686 | 1,686 | 1,686 | COLLABORATOR | null | # What does this PR do?
As discussed in [this comment](https://github.com/huggingface/transformers/pull/23737#discussion_r1220002876) | {
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] | 1,686 | 1,686 | 1,686 | CONTRIBUTOR | null | # What does this PR do?
Tried to be careful, missed one 🙃
Fixes # (issue)
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [ ] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/main/CONTRI... | {
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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?
As title states, acts on deprecation that will be going through in this PR https://github.com/huggingface/accelerate/pull/1537 to avoid nightly failures
Fixes # (issue)
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's th... | {
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https://api.github.com/repos/huggingface/transformers/issues/24052 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24052/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24052/comments | https://api.github.com/repos/huggingface/transformers/issues/24052/events | https://github.com/huggingface/transformers/pull/24052 | 1,744,174,401 | PR_kwDOCUB6oc5SUnUn | 24,052 | Tiny fix for `check_self_hosted_runner.py` | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_24052). All of your documentation changes will be reflected on that endpoint."
] | 1,686 | 1,686 | 1,686 | COLLABORATOR | null | # What does this PR do?
See comment in the change. | {
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https://api.github.com/repos/huggingface/transformers/issues/24051 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24051/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24051/comments | https://api.github.com/repos/huggingface/transformers/issues/24051/events | https://github.com/huggingface/transformers/pull/24051 | 1,744,133,020 | PR_kwDOCUB6oc5SUed5 | 24,051 | Modification of one text example file should trigger said test | {
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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?
I realized while reviewing PRs like #23912 that a modification of a given text example file won't trigger the run of said test. This PR fixes that bug in the test fetcher and add some tests. | {
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https://api.github.com/repos/huggingface/transformers/issues/24050 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24050/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24050/comments | https://api.github.com/repos/huggingface/transformers/issues/24050/events | https://github.com/huggingface/transformers/issues/24050 | 1,744,123,335 | I_kwDOCUB6oc5n9TXH | 24,050 | RuntimeError: unscale_() has already been called on this optimizer since the last update(). | {
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"Can you try restarting your runtime after installing the new version to see if that fixes it? CC @pacman100 ",
"I'm following up this notebook: https://huggingface.co/dfurman/falcon-7b-chat-oasst1/blob/main/finetune_falcon7b_oasst1_with_bnb_peft.ipynb\r\n\r\nand getting this dump when training:\r\n\r\n`File [/wo... | 1,686 | 1,687 | 1,686 | NONE | null | It mentions this fine-tuning notebook like:
https://colab.research.google.com/#fileId=https%3A//huggingface.co/dfurman/falcon-7b-chat-oasst1/blob/main/finetune_falcon7b_oasst1_with_bnb_peft.ipynb
full stack:
```
Traceback (most recent call last):
File "/home/llama/train_infer/finetune_falcon7b_oasst1_with_bn... | {
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https://api.github.com/repos/huggingface/transformers/issues/24049 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24049/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24049/comments | https://api.github.com/repos/huggingface/transformers/issues/24049/events | https://github.com/huggingface/transformers/pull/24049 | 1,744,069,366 | PR_kwDOCUB6oc5SURTU | 24,049 | Prevent ZeroDivisionError on `trainer.evaluate` if model and dataset are tiny | {
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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 | Closes #24048
Hello!
## Pull Request overview
* Prevent ZeroDivisionError on `trainer.evaluate` if model and dataset are tiny
## Details
Please see #24048 for details.
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did... | {
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https://api.github.com/repos/huggingface/transformers/issues/24048 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24048/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24048/comments | https://api.github.com/repos/huggingface/transformers/issues/24048/events | https://github.com/huggingface/transformers/issues/24048 | 1,744,065,091 | I_kwDOCUB6oc5n9FJD | 24,048 | ZeroDivisionError on `trainer.evaluate` if model and dataset are tiny | {
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- `transformers` version: 4.29.2
- Platform: Windows-10-10.0.22621-SP0
- Python version: 3.9.16
- Huggingface_hub version: 0.15.1
- Safetensors version: not installed
- PyTorch version (GPU?): 2.0.1 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not insta... | {
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https://api.github.com/repos/huggingface/transformers/issues/24047 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24047/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24047/comments | https://api.github.com/repos/huggingface/transformers/issues/24047/events | https://github.com/huggingface/transformers/issues/24047 | 1,743,951,040 | I_kwDOCUB6oc5n8pTA | 24,047 | AttributeError: 'NoneType' object has no attribute 'flush' | {
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"cc @LysandreJik maybe",
"Hello, I have encountered the same problem as you, did you solve it?",
"Hi! I also encountered this error. I'm building a package with `pyinstaller` which works on MacOS with M2 amd64. Running inside of a Windows VM running Windows 11, this fails with the same error. \r\n\r\n```\r\nFil... | 1,686 | 1,706 | 1,690 | NONE | null | ### System Info
**System info**
- `transformers` version: 4.29.2
- Platform: Windows-10-10.0.19045-SP0
- Python version: 3.11.3 ... | {
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https://api.github.com/repos/huggingface/transformers/issues/24046 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24046/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24046/comments | https://api.github.com/repos/huggingface/transformers/issues/24046/events | https://github.com/huggingface/transformers/pull/24046 | 1,743,937,635 | PR_kwDOCUB6oc5ST0tB | 24,046 | Reduce memory usage in TF building | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Let me run it on CI and see.",
"Sorry for the delay - there's an issue with Funnel that wasn't reproducing on my machine. I eventually figured out that the problem is the classic TF one: indices for `tf.gather` are not validated on... | 1,686 | 1,686 | 1,686 | MEMBER | null | This PR reduces the default shape of dummy inputs from (3, 3) to (2, 2). This slightly reduces the memory usage when building TF models, which should hopefully fix some of our pipeline tests.
We could replace the dummy inputs with symbolic tensors, which would mean we could build TF models with 0 memory usage, but t... | {
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https://api.github.com/repos/huggingface/transformers/issues/24045 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24045/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24045/comments | https://api.github.com/repos/huggingface/transformers/issues/24045/events | https://github.com/huggingface/transformers/pull/24045 | 1,743,933,418 | PR_kwDOCUB6oc5STzyD | 24,045 | Fix a tiny typo in `WhisperForConditionalGeneration::generate` docstring | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@sadra-barikbin Thanks for fixing this! \r\n\r\nIt seems there is an issue with your CircleCI permissions, the tests won't run.\r\nCould you try refreshing your permissions as shown [here](https://support.circleci.com/hc/en-us/articl... | 1,686 | 1,686 | 1,686 | CONTRIBUTOR | null | - [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
@sanchit-gandhi | {
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Add support for keypoint detection. This includes a task, pipeline, dataset label and training pipeline.
The task is to take an image and predict the x and y locations of a set of keypoints. Which keypoints are predicted should depend on the model trained for this task. The training pipeline for... | {
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https://api.github.com/repos/huggingface/transformers/issues/24043 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24043/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24043/comments | https://api.github.com/repos/huggingface/transformers/issues/24043/events | https://github.com/huggingface/transformers/pull/24043 | 1,743,560,052 | PR_kwDOCUB6oc5SSiCQ | 24,043 | [`bnb`] Fix bnb skip modules | {
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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?
Fixes https://github.com/huggingface/transformers/issues/24037
https://github.com/huggingface/transformers/pull/23479 removed by mistake the logic introduced in https://github.com/huggingface/transformers/pull/21579 to deal with modules that are not needed to be converted
The PR also ad... | {
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"Ok, narrowed it down to this line: \r\n```python \r\n # Check all our special tokens are registered as \"no split\" token (we don't cut them) and are in the vocab\r\n added_tokens = tokenizer.sanitize_special_tokens()\r\n```\r\nWhen converting the model from a slow one, the tokenizer correctly proces... | 1,686 | 1,686 | 1,686 | COLLABORATOR | null | # What does this PR do?
Adresses the issues with the fast tokenizer of LLama. Namely:
- nit making it return token type ids.
- the added tokens are not correctly encoded.
There seems to be an issue with the conversion: before the python layer, just loading the tokenizer_config.json file with the rust backend still ... | {
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"Could you please give us a reproducer? Also cc @muellerzr and @pacman100 ",
"As an idea workflow, this representation may be limited due to the inability to showcase the complete setting. Consequently, there could potentially be bugs in the way it is set up. The following points outline the reproducers:\r\n\r\n\... | 1,686 | 1,686 | 1,686 | CONTRIBUTOR | null | ### System Info
transformers==4.28
### Who can help?
@sgugger and @sanchit-gandhi
### 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 detai... | {
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https://api.github.com/repos/huggingface/transformers/issues/24040 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24040/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24040/comments | https://api.github.com/repos/huggingface/transformers/issues/24040/events | https://github.com/huggingface/transformers/issues/24040 | 1,743,244,340 | I_kwDOCUB6oc5n58w0 | 24,040 | There is bug in trainer of Llama:indices should be either on cpu or on the same device as the indexed tensor (cpu) | {
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"Hello, what is the launch command?\r\nWhat version of accelerate is being used?\r\nAlso see this https://github.com/microsoft/DeepSpeed/issues/3678",
"hi~ thanks for your help!\r\nCUDA_VISIBLE_DEVICES=\"1,2,4,5\" torchrun --nnodes=1 --nproc_per_node=4 start_ds_finetune.py --deepspeed deepspeed_config.json --lea... | 1,686 | 1,701 | 1,686 | NONE | null | ### System Info
Setting ds_accelerator to cuda (auto detect)
Copy-and-paste the text below in your GitHub issue and FILL OUT the two last points.
- `transformers` version: 4.30.0.dev0
- Platform: Linux-5.4.0-132-generic-x86_64-with-glibc2.27
- Python version: 3.10.11
- Huggingface_hub version: 0.15.1
- Safet... | {
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https://api.github.com/repos/huggingface/transformers/issues/24039 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24039/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24039/comments | https://api.github.com/repos/huggingface/transformers/issues/24039/events | https://github.com/huggingface/transformers/pull/24039 | 1,743,071,251 | PR_kwDOCUB6oc5SQ37z | 24,039 | Add support for non-rust implemented tokenization for `__getitem__` method. | {
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"It seems that failed in workflow due to `Read Timeout` on T5-relevant testing.\r\nHow can I rerun for this?\r\n\r\n\r\n![图片](https://github.com/huggingface/transformers/assets/54089835/4a1eec18-f2cf-4509-93aa-1c2... | 1,686 | 1,686 | 1,686 | CONTRIBUTOR | null | # Overview
This PR is going to add a support for the usage scenario of "getting a slice from the batch-tokenized sequences".
Without this PR, it seems to raise KeyError with the following message KeyError: 'Indexing with integers (to access backend Encoding for a given batch index) is not available when using Pytho... | {
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https://api.github.com/repos/huggingface/transformers/issues/24038 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24038/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24038/comments | https://api.github.com/repos/huggingface/transformers/issues/24038/events | https://github.com/huggingface/transformers/issues/24038 | 1,743,070,764 | I_kwDOCUB6oc5n5SYs | 24,038 | Add VGCN-BERT model | {
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"The new implement is here:\r\nhttps://huggingface.co/zhibinlu/vgcn-bert-distilbert-base-uncased"
] | 1,686 | 1,687 | 1,687 | NONE | null | ### Model description
HI, I am the author of [VGCN-BERT paper](https://arxiv.org/abs/2004.05707), the original implementation is in my gitlab [vgcn-bert repo](https://github.com/Louis-udm/VGCN-BERT), but recently I updated the algorithm and implemented a new version for integrating in Transformer.
> Much progre... | {
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https://api.github.com/repos/huggingface/transformers/issues/24037 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24037/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24037/comments | https://api.github.com/repos/huggingface/transformers/issues/24037/events | https://github.com/huggingface/transformers/issues/24037 | 1,742,872,400 | I_kwDOCUB6oc5n4h9Q | 24,037 | BitsAndBytesConfig llm_int8_skip_modules does not work in the new version | {
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"Hi @AntoineBlanot \r\nThanks for the issue and flagging! \r\nhttps://github.com/huggingface/transformers/pull/24043 should fix the issue!"
] | 1,686 | 1,686 | 1,686 | NONE | null | ### System Info
- `transformers` version: 4.30.0.dev0
- Platform: Linux-5.4.0-148-generic-x86_64-with-glibc2.17
- Python version: 3.8.16
- 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/24036 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24036/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24036/comments | https://api.github.com/repos/huggingface/transformers/issues/24036/events | https://github.com/huggingface/transformers/pull/24036 | 1,742,861,032 | PR_kwDOCUB6oc5SQKRp | 24,036 | Use TruncatedNormal from Keras initializers | {
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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?
This PR updates the types of `get_initializer` to use `TruncatedNormal` from `tf.keras.initializers`. Before this change the type was set to `tf.initializers.TruncatedNormal`, while `tf.keras.initializers.TruncatedNormal` is what was returned from the function.
## Before submitting
- [ ] ... | {
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https://api.github.com/repos/huggingface/transformers/issues/24035 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24035/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24035/comments | https://api.github.com/repos/huggingface/transformers/issues/24035/events | https://github.com/huggingface/transformers/pull/24035 | 1,742,812,809 | PR_kwDOCUB6oc5SP_pZ | 24,035 | Add overloads for PretrainedModel.from_pretrained | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_24035). All of your documentation changes will be reflected on that endpoint.",
"> you can search the source code, it's not present anywhere\r\n\r\nSearching in the source code, you can see it here: https://github.com/searc... | 1,686 | 1,689 | 1,689 | CONTRIBUTOR | null | # What does this PR do?
<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
Then, please replace this w... | {
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https://api.github.com/repos/huggingface/transformers/issues/24034 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24034/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24034/comments | https://api.github.com/repos/huggingface/transformers/issues/24034/events | https://github.com/huggingface/transformers/issues/24034 | 1,742,750,572 | I_kwDOCUB6oc5n4ENs | 24,034 | AttributeError: ‘EvalPrediction’ object has no attribute ‘prediction’ | {
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"Hey! Looking at your code, your `compute_metric` function is calling `pred.prediction` while it should be `pred.predictions`. ",
"Much appreciated tyvm for your help. "
] | 1,686 | 1,707 | 1,686 | NONE | null | Im trying to finetune Minilm via hugging face using the following
Codes:
Error Message:
AttributeError: 'EvalPrediction' object has no attribute 'prediction'
### Who can help?
@sgugger @ArthurZuck... | {
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https://api.github.com/repos/huggingface/transformers/issues/24033 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24033/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24033/comments | https://api.github.com/repos/huggingface/transformers/issues/24033/events | https://github.com/huggingface/transformers/pull/24033 | 1,742,671,069 | PR_kwDOCUB6oc5SPj1L | 24,033 | fix type annotation for debug arg | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Hi @amyeroberts, I have made a fix to the code. I'm not certain if there is a more concise way to address this, but I added an additional check for `self.debug` being `None`. The reason for this is that when using `Union[str, List[De... | 1,686 | 1,687 | 1,687 | CONTRIBUTOR | null | # What does this PR do?
Fix type annotation for `debug` argument in `training_args.py`
Fixes https://github.com/huggingface/transformers/issues/23958
## Who can review?
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https://api.github.com/repos/huggingface/transformers/issues/24032 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24032/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24032/comments | https://api.github.com/repos/huggingface/transformers/issues/24032/events | https://github.com/huggingface/transformers/pull/24032 | 1,742,650,324 | PR_kwDOCUB6oc5SPfWL | 24,032 | Tool types | {
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] | 1,686 | 1,686 | 1,686 | MEMBER | null | WIP PR to have specific types for tool outputs, which should clarify interaction to and from Agents.
Left to do:
- [x] Remove or complete the video integration
- [x] Add support for remote tools
- [x] Complete documentation
- [x] Test it out with real world use-cases
- [x] Add a test to ensure that the inputs a... | {
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"Hi @jprivera44, thanks for opening this issue! \r\n\r\nThe fastest and easiest way to add a model to be used in the transformers library, is to add the model code and its weights on the code. Here's a how-to guide: https://huggingface.co/docs/transformers/custom_models\r\n\r\ncc @Rocketknight1 \r\n\r\n",
"Hello ... | 1,685 | 1,686 | null | CONTRIBUTOR | null | ### Model description
scGPT is a single celled foundation model, based off the GPT architecture. The model is shown to have captured meaningful biological insights into cells and genes. The authors state the model can be fine tuned to downstream tasks included, cell-type annotation, genetic perturbation etc.
I'd ... | {
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https://api.github.com/repos/huggingface/transformers/issues/24030 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24030/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24030/comments | https://api.github.com/repos/huggingface/transformers/issues/24030/events | https://github.com/huggingface/transformers/pull/24030 | 1,742,482,785 | PR_kwDOCUB6oc5SO5ux | 24,030 | Use new parametrization based weight norm if available | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"PyTorch side PR has landed!",
"@ezyang \r\n\r\nWith nightly pytorch, we get \r\n\r\n> AttributeError: encoder.pos_conv_embed.conv.weight_v not found in PyTorch model\r\n\r\nwhen trying to load a pytorch model into a TF model.\r\n\r... | 1,685 | 1,687 | 1,686 | CONTRIBUTOR | null | # What does this PR do?
In https://github.com/pytorch/pytorch/pull/103001 I introduce a new
parametrization based version of `weight_norm`. One big benefit of
the new API is that the resulting model is deepcopy'able; today, you can't
deepcopy Wav2Vec2 models.
Since the new API isn't even in PyTorch main yet, I'd lik... | {
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https://api.github.com/repos/huggingface/transformers/issues/24029 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24029/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24029/comments | https://api.github.com/repos/huggingface/transformers/issues/24029/events | https://github.com/huggingface/transformers/pull/24029 | 1,742,468,844 | PR_kwDOCUB6oc5SO2ky | 24,029 | Add check for tied parameters | {
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"The test are failing because I used a function that i have added recently in accelerate.utils. Should we use the main for the tests @sgugger ? ",
"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,685 | 1,686 | 1,686 | MEMBER | null | # What does this PR do
This is the fix in the transformers library of this [PR](https://github.com/huggingface/accelerate/pull/1529).
It will fix the case where a user uses their own device map (in the `from_pretrained` method) but forget that parameters that are tied together should be on the same device. We r... | {
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https://api.github.com/repos/huggingface/transformers/issues/24028 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24028/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24028/comments | https://api.github.com/repos/huggingface/transformers/issues/24028/events | https://github.com/huggingface/transformers/pull/24028 | 1,742,288,219 | PR_kwDOCUB6oc5SOOYa | 24,028 | 🚨🚨🚨 Replace DataLoader logic for Accelerate in Trainer, remove unneeded tests 🚨🚨🚨 | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Great PR, currently this is breaking my custom collate_fn in the dataloader, still trying to understand why that is. First assumption might be due to multiprocessing?",
"@franz101 please open an issue with a reproducer of what you ... | 1,685 | 1,689 | 1,686 | CONTRIBUTOR | null | # What does this PR do?
This PR:
- Guts the internals for the `DataLoader` in all basic distributed fashions (replacing `pl.Loader` for TPU coming in a follow-up PR) to replace it with `accelerator.prepare`
- Removes **two** tests that were deemed unnecessary
- Test 1 removed: `tests/trainer/test_trainer.py::Tr... | {
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https://api.github.com/repos/huggingface/transformers/issues/24027 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24027/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24027/comments | https://api.github.com/repos/huggingface/transformers/issues/24027/events | https://github.com/huggingface/transformers/pull/24027 | 1,742,247,518 | PR_kwDOCUB6oc5SOFLE | 24,027 | Fixes all hidden states output in FlaxT5 | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"need to fix the tests",
"Hmm okay so the PyTorch model is also missing this, so we'd need to update it here. Continuing the discussion in the issue!",
"This issue has been automatically marked as stale because it has not had rece... | 1,685 | 1,688 | 1,688 | CONTRIBUTOR | null | Fixes #23960
@sanchit-gandhi | {
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https://api.github.com/repos/huggingface/transformers/issues/24025 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24025/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24025/comments | https://api.github.com/repos/huggingface/transformers/issues/24025/events | https://github.com/huggingface/transformers/pull/24025 | 1,742,146,876 | PR_kwDOCUB6oc5SNvFE | 24,025 | Fix device placement for model-parallelism in generate for encoder/de… | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,685 | 1,686 | 1,686 | COLLABORATOR | null | …coders
When using model parallelism with encoder/decoder models, there is an issue in `generate` using the encoder in isolation. That encoder won't output logits on the same device as the inputs like the whole model does, and we get mismatched device errors.
Repro:
```py
from transformers import AutoModelForSe... | {
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https://api.github.com/repos/huggingface/transformers/issues/24024 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24024/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24024/comments | https://api.github.com/repos/huggingface/transformers/issues/24024/events | https://github.com/huggingface/transformers/pull/24024 | 1,742,068,244 | PR_kwDOCUB6oc5SNdq2 | 24,024 | Pin `deepspeed` to `0.9.2` for now | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"cc @pacman100 "
] | 1,685 | 1,685 | 1,685 | COLLABORATOR | null | # What does this PR do?
DeepSpeed 0.9.3 has some issue, and introduced many more failures. See for example [here](https://github.com/huggingface/transformers/actions/runs/5166856163/jobs/9307371184) and [there](https://github.com/huggingface/transformers/actions/runs/5166856163/jobs/9307371242).
Let's pin `deepsp... | {
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https://api.github.com/repos/huggingface/transformers/issues/24023 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24023/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24023/comments | https://api.github.com/repos/huggingface/transformers/issues/24023/events | https://github.com/huggingface/transformers/pull/24023 | 1,742,032,248 | PR_kwDOCUB6oc5SNVzg | 24,023 | Fixing single candidate_label return. | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,685 | 1,704 | 1,686 | CONTRIBUTOR | null | # What does this PR do?
Fix #24008
<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
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https://api.github.com/repos/huggingface/transformers/issues/24022 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24022/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24022/comments | https://api.github.com/repos/huggingface/transformers/issues/24022/events | https://github.com/huggingface/transformers/pull/24022 | 1,741,850,599 | PR_kwDOCUB6oc5SMtzv | 24,022 | Update README.md | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,685 | 1,685 | 1,685 | COLLABORATOR | null | # What does this PR do?
Remove the mention of `prepare_for_doc_test.py`, as this file is no longer necessary and is removed in #23271
Thanks @NielsRogge for finding this. | {
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https://api.github.com/repos/huggingface/transformers/issues/24021 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24021/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24021/comments | https://api.github.com/repos/huggingface/transformers/issues/24021/events | https://github.com/huggingface/transformers/issues/24021 | 1,741,768,506 | I_kwDOCUB6oc5n0Uc6 | 24,021 | How to use LogitsWarper within .generate()? | {
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"Hi,\r\n\r\nSee this for a great blog post on that: https://towardsdatascience.com/the-power-of-constrained-language-models-cf63b65a035d.\r\n\r\nThe blog post includes a Colab notebook that showcases creating a custom `LogitsProcessor`",
"cc @gante ",
"@JellePiepenbrock 👋 \r\n\r\nTemperature only has an effect... | 1,685 | 1,689 | 1,689 | NONE | null | ### System Info
- `transformers` version: 4.16.2
- Platform: Linux-5.4.0-100-generic-x86_64-with-glibc2.10
- Python version: 3.8.5
- PyTorch version (GPU?): 1.7.1+cu101 (True)
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [X] My own modified scripts
### Tasks... | {
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https://api.github.com/repos/huggingface/transformers/issues/24020 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24020/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24020/comments | https://api.github.com/repos/huggingface/transformers/issues/24020/events | https://github.com/huggingface/transformers/pull/24020 | 1,741,760,511 | PR_kwDOCUB6oc5SMZ_w | 24,020 | Fix typo in Llama docstrings | {
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"@amyeroberts yes, I ran it locally, got the error and fixed it,\r\n\r\nhere are the types in my code\r\n```\r\ntype(tokenizer)\r\n<class 'transformers.models.llama.tokenization_llama.LlamaTokenizer'>\r\n\r\ntype(inputs)\r\n<class 'torch.Tensor'\r\n``",
"@Kh4L Out of interest - could you share the checkpoint bein... | 1,685 | 1,686 | 1,686 | CONTRIBUTOR | null | # What does this PR do?
Fix typos in docs.
## Before submitting
- [X] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
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https://api.github.com/repos/huggingface/transformers/issues/24019 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24019/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24019/comments | https://api.github.com/repos/huggingface/transformers/issues/24019/events | https://github.com/huggingface/transformers/pull/24019 | 1,741,725,346 | PR_kwDOCUB6oc5SMSQO | 24,019 | Add none check when instantiating tokenizer from auto | {
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"Thanks a lot for opening the PR and sorry for the delay 🤗 ",
"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:/... | 1,685 | 1,693 | 1,693 | NONE | null | # What does this PR do?
Many tokenizers require sentencepiece to be installed. When not installed the AutoTokenizer will fail with an unhelpful error:
```
File "/private/var/tmp/_bazel_anthony/26db13ca47961bc86c979e31d4f830d7/execroot/collimator/bazel-out/darwin_arm64-fastbuild/bin/ml_training/ai_assistant/scripts/p... | {
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https://api.github.com/repos/huggingface/transformers/issues/24018 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24018/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24018/comments | https://api.github.com/repos/huggingface/transformers/issues/24018/events | https://github.com/huggingface/transformers/pull/24018 | 1,741,708,425 | PR_kwDOCUB6oc5SMOkd | 24,018 | Fix `MobileViTV2` checkpoint name | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@ydshieh Sorry, my bad, I'd assumed because the checkpoints in the PR were under the org they were already uploaded and didn't verify. \r\n\r\n> Question: Should we upload the model to apple/mobilevitv2-1.0-imagenet1k-256 and change ... | 1,685 | 1,686 | 1,685 | COLLABORATOR | null | # What does this PR do?
For `tests/models/mobilevitv2/test_modeling_mobilevitv2.py::MobileViTV2ModelTest::test_model_from_pretrained`, we get
```bash
(line 433) OSError: apple/mobilevitv2-1.0-imagenet1k-256 is not a local folder and is not a valid model identifier listed on 'https://huggingface.co/models'
```
... | {
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https://api.github.com/repos/huggingface/transformers/issues/24017 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24017/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24017/comments | https://api.github.com/repos/huggingface/transformers/issues/24017/events | https://github.com/huggingface/transformers/pull/24017 | 1,741,681,538 | PR_kwDOCUB6oc5SMIim | 24,017 | Skip `test_multi_gpu_data_parallel_forward` for `MobileViTV2ModelTest` | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Yes, see #21991. That PR mentioned torch 2.0, but this test are skipped for some other modes even before that PR for other reasons."
] | 1,685 | 1,685 | 1,685 | COLLABORATOR | null | # What does this PR do?
Skip `test_multi_gpu_data_parallel_forward` for `MobileViTV2ModelTest`.
This passes on CI, but the other 2x tests running after this one are all failing with `CUDA error: misaligned address`.
(Similar to #21991) | {
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https://api.github.com/repos/huggingface/transformers/issues/24016 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24016/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24016/comments | https://api.github.com/repos/huggingface/transformers/issues/24016/events | https://github.com/huggingface/transformers/pull/24016 | 1,741,675,874 | PR_kwDOCUB6oc5SMHTy | 24,016 | Add DINOv2 | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,685 | 1,689 | 1,689 | CONTRIBUTOR | null | # What does this PR do?
This PR adds DINOv2.
Fixes #23739 #23773
To do:
- [x] transfer checkpoints to the facebook org (when are we going to have a meta org on the hub?)
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https://api.github.com/repos/huggingface/transformers/issues/24015 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24015/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24015/comments | https://api.github.com/repos/huggingface/transformers/issues/24015/events | https://github.com/huggingface/transformers/pull/24015 | 1,741,463,588 | PR_kwDOCUB6oc5SLYnn | 24,015 | change to suitable with half precision in tpu | {
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"cc @sgugger "
] | 1,685 | 1,685 | 1,685 | CONTRIBUTOR | null | I have made changes to your statement to make it suitable for a pull request on GitHub. Please review the following:
Description:
I am utilizing TPU for training and have observed that when setting the half_precision_backend to 'auto', it automatically assigns it as 'cuda_amp'. However, this causes a bug since ther... | {
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https://api.github.com/repos/huggingface/transformers/issues/24014 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24014/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24014/comments | https://api.github.com/repos/huggingface/transformers/issues/24014/events | https://github.com/huggingface/transformers/pull/24014 | 1,741,442,677 | PR_kwDOCUB6oc5SLUCe | 24,014 | fix accelerator prepare during eval only mode | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"The thing is that mixed precision application for eval only mode won't work unless we prepare model"
] | 1,685 | 1,686 | 1,686 | CONTRIBUTOR | null | # What does this PR do?
1. As mentioned in https://github.com/huggingface/transformers/pull/23957#issuecomment-1573810900, currently the accelerate `prepare` method is happening only during training loop. If the user is directly doing `eval`/`predict` without the training loop, the model isn't prepared leading to wron... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Supercded by https://github.com/huggingface/transformers/pull/24079"
] | 1,685 | 1,686 | 1,686 | CONTRIBUTOR | null | null | {
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Just a Test | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,685 | 1,685 | 1,685 | CONTRIBUTOR | null | # What does this PR do?
1. With the Accelerate integration in Trainer, Hyperparam Search tests were failing. This PR fixes it.
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"It might make sense to have some sort of explicit option for opting into the \"similarity score\" mode - that may be less surprising e.g. for people that are using the pipeline for a variable number of labels, and expect the scores to mean the same thing regardless of how many labels are passed in.\r\n\r\nBut if t... | 1,685 | 1,704 | 1,686 | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.29.2
- Platform: Linux-5.15.107+-x86_64-with-glibc2.31
- Python version: 3.10.11
- Huggingface_hub version: 0.15.1
- Safetensors version: not installed
- PyTorch version (GPU?): 2.0.1+cu118 (False)
- Tensorflow version (GPU?): 2.12.0 (False)
- Flax version (CPU?/GPU... | {
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"The idea is to allow for an \"infinite run\" with hivemind where users can join using the hivemind DHT.\r\nThe DHT will have to be initialized before initiating the trainingarguments so that the user can mess with it more freely, then the optimizer kwargs will just be passed on internally.\r\n\r\nMost of the chang... | 1,685 | 1,686 | 1,686 | NONE | null | # What does this PR do?
This PR (will) add integration for hivemind (https://github.com/learning-at-home/hivemind), a PyTorch library for decentralized deep learning across the Internet.
## 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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https://api.github.com/repos/huggingface/transformers/issues/24006 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24006/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24006/comments | https://api.github.com/repos/huggingface/transformers/issues/24006/events | https://github.com/huggingface/transformers/issues/24006 | 1,740,986,516 | I_kwDOCUB6oc5nxViU | 24,006 | Unexpect behaviour | {
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"cc @younesbelkada and @pacman100 \r\nBut they won't be able to help you without seeing a reproducer of the issue.",
"this is very weired, I wish I could post a reproducible code here but this could only be done by opensource all my code which is limited due to policy. However, I think merged lora and the basemod... | 1,685 | 1,689 | 1,689 | NONE | null | I have a base model and a lora model trained. And a new model which save with merge_and_unload()
But the saved model loaded always got OOM, is that normal? This should't happen in my opiiopn.
the saved model is same size aas 7B
![image](https://github.com/huggingface/transformers/assets/21303438/a588f3fb-00fc-... | {
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https://api.github.com/repos/huggingface/transformers/issues/24005 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24005/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24005/comments | https://api.github.com/repos/huggingface/transformers/issues/24005/events | https://github.com/huggingface/transformers/issues/24005 | 1,740,941,311 | I_kwDOCUB6oc5nxKf_ | 24,005 | Zero-shot classification pipeline does not appear to batch examples | {
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"cc @Narsil ",
"> Assuming you’re using the same model, the pipeline is likely faster because it batches the inputs. If you pass a single sequence with 4 labels, you have an effective batch size of 4, and the pipeline will pass these through the model in a single pass.\r\n\r\nThis comment could be old, this has b... | 1,685 | 1,703 | 1,689 | NONE | null | ### System Info
- `transformers` version: 4.29.2
- Platform: Linux-5.15.107+-x86_64-with-glibc2.31
- Python version: 3.10.11
- Huggingface_hub version: 0.15.1
- Safetensors version: not installed
- PyTorch version (GPU?): 2.0.1+cu118 (True)
- Tensorflow version (GPU?): 2.12.0 (True)
- Flax version (CPU?/GPU?/TP... | {
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https://api.github.com/repos/huggingface/transformers/issues/24003 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24003/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24003/comments | https://api.github.com/repos/huggingface/transformers/issues/24003/events | https://github.com/huggingface/transformers/issues/24003 | 1,740,820,187 | I_kwDOCUB6oc5nws7b | 24,003 | No inf checks were recorded for this optimizer | {
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"Miss configuration LoraConfig caused the issue",
"@lanqianlong what was the misconfiguration?"
] | 1,685 | 1,692 | 1,685 | NONE | null | ### System Info
transformers 4.30.0.dev0
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or dataset (give details below)
### Reprodu... | {
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https://api.github.com/repos/huggingface/transformers/issues/24002 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24002/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24002/comments | https://api.github.com/repos/huggingface/transformers/issues/24002/events | https://github.com/huggingface/transformers/pull/24002 | 1,740,794,161 | PR_kwDOCUB6oc5SJE4I | 24,002 | Addition of test code for GPTNeoX Flax support | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_24002). All of your documentation changes will be reflected on that endpoint.",
"Hey @gojiteji! Thanks for picking-up the Flax GPT Neo PR! Would you mind rebasing onto main:\r\n```\r\ngit fetch upstream\r\ngit rebase upstre... | 1,685 | 1,691 | 1,691 | CONTRIBUTOR | null | @sanchit-gandhi
I have added a test code for the GPTNeoX Flax support #22950.
I implemented it based on a fork at https://github.com/OhadRubin/transformers the above PR and [Flax GPT-Neo](https://github.com/gojiteji/transformers/blob/fix_flax_gpt_neox/tests/models/gpt_neo/test_modeling_flax_gpt_neo.py) test code... | {
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https://api.github.com/repos/huggingface/transformers/issues/24000 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24000/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24000/comments | https://api.github.com/repos/huggingface/transformers/issues/24000/events | https://github.com/huggingface/transformers/pull/24000 | 1,740,598,848 | PR_kwDOCUB6oc5SIbEC | 24,000 | changed unused args from error to warning | {
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"This feels like a limitation of being able to discern between a typo (error) and an actual unused argument (warning), but I understand :(\r\n"
] | 1,685 | 1,686 | 1,686 | NONE | null | the value error now breaks the code, while it can run perfectly without the unused arguments. This happens for example in https://huggingface.co/OpenAssistant/falcon-40b-sft-mix-1226/discussions/2
# What does this PR do?
Fixes issue referenced here: https://huggingface.co/OpenAssistant/falcon-40b-sft-mix-1226/dis... | {
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https://api.github.com/repos/huggingface/transformers/issues/23999 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/23999/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/23999/comments | https://api.github.com/repos/huggingface/transformers/issues/23999/events | https://github.com/huggingface/transformers/pull/23999 | 1,740,574,079 | PR_kwDOCUB6oc5SIXGV | 23,999 | TensorBoard callback no longer adds hparams | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_23999). All of your documentation changes will be reflected on that endpoint."
] | 1,685 | 1,687 | 1,685 | CONTRIBUTOR | null | # What does this PR do?
The `TensorBoardCallback.on_train_begin` function calls `add_hparams` with an empty `metric_dict` parameter, meaning that the only information that is logged is from `args.sanitized_dict()`. This is duplicated information from the previous `self.tb_writer.add_text("args", args.to_json_string())... | {
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https://api.github.com/repos/huggingface/transformers/issues/23991 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/23991/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/23991/comments | https://api.github.com/repos/huggingface/transformers/issues/23991/events | https://github.com/huggingface/transformers/issues/23991 | 1,740,464,732 | I_kwDOCUB6oc5nvWJc | 23,991 | When using TimeSeriesTransformerForPrediction, able to train model but not predict on test set | {
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"cc @kashif ",
"thanks @brett1099 for the issue... just having a look at the error to see if i can figure out the issue...",
"@brett1099 can you kindly confirm that the length of the target time series in the test set are bigger that the corresponding training set target arrays by exactly the `prediction_lengt... | 1,685 | 1,686 | 1,686 | NONE | null | Using the code from this article: https://huggingface.co/blog/time-series-transformers, I was able to successfully run the data they utilized. However when attempting with my own data in the same format, I am able to get to training the model successfully but get an error when creating predictions.
I have a dataset ... | {
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https://api.github.com/repos/huggingface/transformers/issues/23990 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/23990/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/23990/comments | https://api.github.com/repos/huggingface/transformers/issues/23990/events | https://github.com/huggingface/transformers/pull/23990 | 1,740,429,349 | PR_kwDOCUB6oc5SH4wP | 23,990 | add gradient checkpointing for the llama's final layernorm module | {
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"cc @younesbelkada ",
"_The documentation is not available anymore as the PR was closed or merged._",
"> \r\n\r\n\r\n\r\n> Hi @zhaoqf123 Thanks for bringing this up! Sadly I couldn't reproduce the issue, here is the snippet I used:\r\n> \r\n> ```python\r\n> import torch\r\n> from transformers import AutoModelFo... | 1,685 | 1,687 | 1,687 | CONTRIBUTOR | null | Without this, when tuning with LoRA + gradient checkpointing, the last transformer layer's LoRA weights won't be updated!
For example, if we use this callback to log the weight change of LoRA weights in each layer, we will find that no weight update for the last layer in TensorBoard.
```python
class ParamsTenso... | {
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https://api.github.com/repos/huggingface/transformers/issues/23989 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/23989/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/23989/comments | https://api.github.com/repos/huggingface/transformers/issues/23989/events | https://github.com/huggingface/transformers/issues/23989 | 1,740,411,664 | I_kwDOCUB6oc5nvJMQ | 23,989 | load_in_8bit=True returns gibberish when inferencing on multi GPU | {
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"Not OP's issue but for others finding this issue like I did: be aware that if you're using 2x RTX 4090, there's a [driver bug](https://forums.developer.nvidia.com/t/standard-nvidia-cuda-tests-fail-with-dual-rtx-4090-linux-box/233202/51) in Linux causing corrupt results. For me switching from the 530 to the 525 dri... | 1,685 | 1,689 | 1,689 | NONE | null | ### System Info
```Shell
- `Accelerate` version: 0.18.0
- Platform: Linux-5.15.0-72-generic-x86_64-with-glibc2.35
- Python version: 3.10.6
- Numpy version: 1.24.3
- PyTorch version (GPU?): 1.13.1+cu117 (True)
- `Accelerate` default config:
Not found
- using transformers from here, as recommended by openassi... | {
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https://api.github.com/repos/huggingface/transformers/issues/23988 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/23988/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/23988/comments | https://api.github.com/repos/huggingface/transformers/issues/23988/events | https://github.com/huggingface/transformers/issues/23988 | 1,740,374,241 | I_kwDOCUB6oc5nvADh | 23,988 | Bug Report - Tokenizer Issue with Tensor Device Assignment in transformers/pipelines/text_generation.py | {
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"The `pipeline` will handle the device if you pass it to it with the `device` kwarg.",
"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 [contribu... | 1,685 | 1,689 | 1,689 | NONE | null | ### System Info
```
- `transformers` version: 4.29.0.dev0
- Platform: Linux-5.4.0-110-generic-x86_64-with-glibc2.10
- Python version: 3.8.13
- Huggingface_hub version: 0.14.1
- Safetensors version: 0.3.0
- PyTorch version (GPU?): 2.0.0+cu117 (True)
- Tensorflow version (GPU?): 2.9.3 (True)
- Flax version (CP... | {
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https://api.github.com/repos/huggingface/transformers/issues/23987 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/23987/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/23987/comments | https://api.github.com/repos/huggingface/transformers/issues/23987/events | https://github.com/huggingface/transformers/issues/23987 | 1,740,326,597 | I_kwDOCUB6oc5nu0bF | 23,987 | How can I using deepspeed along with LION optimizer/.? | {
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"Please use the [forums](https://discuss.huggingface.co/) for such questions.",
"@sgugger I have post one: https://discuss.huggingface.co/t/how-to-using-lion-optimizer/42270 Hope you guys could give any help.",
"This issue has been automatically marked as stale because it has not had recent activity. If you thi... | 1,685 | 1,689 | 1,689 | NONE | null | How can I using deepspeed along with LION optimizer/.? | {
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https://api.github.com/repos/huggingface/transformers/issues/23986 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/23986/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/23986/comments | https://api.github.com/repos/huggingface/transformers/issues/23986/events | https://github.com/huggingface/transformers/issues/23986 | 1,740,252,965 | I_kwDOCUB6oc5nuicl | 23,986 | learn_rate behavior is not expected when using =transformers.TrainingArguments | {
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"Could you explain what the bug is here?",
"> Could you explain what the bug is here?\r\n\r\nI'm sorry I didn't explain clearly, I will attach a simple script.\r\nIn the previous version of transformer, this code behaves normally, and the learning rate decreases linearly like the green line.\r\n: 1.13.0+cu117 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (C... | {
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https://api.github.com/repos/huggingface/transformers/issues/23985 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/23985/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/23985/comments | https://api.github.com/repos/huggingface/transformers/issues/23985/events | https://github.com/huggingface/transformers/pull/23985 | 1,740,210,893 | PR_kwDOCUB6oc5SHKcR | 23,985 | Regarding pix2struct's bugs in the attentions of the encoder's and decoder's outputs | {
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"cc @younesbelkada ",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_23985). All of your documentation changes will be reflected on that endpoint.",
"Now it has passed all tests, but this is just a temporary measure. In most cases, it can return the correct attentions... | 1,685 | 1,689 | 1,686 | NONE | null | This change addresses the following bug: incorrect indices were used for "all_attentions" ([link](https://github.com/huggingface/transformers/blob/539e2281cd97c35ef4122757f26c88f44115fa94/src/transformers/models/pix2struct/modeling_pix2struct.py#L1549)) and "all_cross_attentions" ([link](https://github.com/huggingface/... | {
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