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https://api.github.com/repos/huggingface/transformers/issues/27344 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27344/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27344/comments | https://api.github.com/repos/huggingface/transformers/issues/27344/events | https://github.com/huggingface/transformers/pull/27344 | 1,981,545,602 | PR_kwDOCUB6oc5e0Ro6 | 27,344 | [WIP] script to fine tune CLIPSeg | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_27344). All of your documentation changes will be reflected on that endpoint.",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please... | 1,699 | 1,702 | 1,702 | CONTRIBUTOR | null | # What does this PR do?
This PR aims to include a tutorial on how to fune tune clipseg model.
Fixes #24494
## 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/... | {
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"Hey! Could you share the full reproducer please? 🤗 "
] | 1,699 | 1,699 | 1,699 | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.35.0.dev0
- Platform: Linux-6.1.0-10-amd64-x86_64-with-glibc2.36
- Python version: 3.10.8
- Huggingface_hub version: 0.17.3
- Safetensors version: 0.4.0
- Accelerate version: 0.24.0
- Accelerate config: not found
- PyTorch version (GPU?): 2.0.1+cu117 (True)
- Tens... | {
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"Verified with Ascend NPU via the following `spec.py` file:\r\n```python\r\nimport torch\r\nimport torch_npu\r\n# !! Further additional imports can be added here !!\r\n# Specify the device name (eg. 'cuda', 'cpu', 'npu')\r\nDEVICE_NAME = 'npu:0'\r\n# Specify device-specific backends to dispatch to.\r\n# If not spec... | 1,699 | 1,699 | 1,699 | CONTRIBUTOR | null | # What does this PR do?
Part of https://github.com/huggingface/transformers/issues/25654#issuecomment-1783704306
## 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/huggingfa... | {
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"Note: According to this [issue](https://github.com/pytorch/pytorch/pull/103167#issuecomment-1583326602), PyTorch already uses 32 bit accumulation under the hood. \r\n\r\nIf true, we can do the opposite -- remove all manual casts to `torch.float32`",
"Hi @gante I would love to take up this issue.",
"Hey @nandwa... | 1,699 | 1,707 | 1,701 | MEMBER | null | I am looking for a contributor to do some numerical exploration across models! 💛
### Context
Some operations are notoriously unstable at lower precisions, such as the `softmax`. In fact, in the models' attention layers, we often force the `softmax` operation to run in 32-bit FP precision ([example](https://github... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_27340). All of your documentation changes will be reflected on that endpoint.",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please... | 1,699 | 1,704 | 1,704 | COLLABORATOR | null | # What does this PR do?
Vits is a TTS model that have been supported in HF for a few months now. MMS-tts, Meta's models on a thousand languages, also uses VITS architecture.
Vits is a peculiar model, a GAN, a VAE a flow-based, all at the same time. To train it, one needs a discriminator, which this PR adds to Tra... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_27339). All of your documentation changes will be reflected on that endpoint."
] | 1,699 | 1,699 | 1,699 | CONTRIBUTOR | null | # What does this PR do?
Fixes AWQ-related failing tests in: https://github.com/huggingface/transformers/actions/runs/6779219624/job/18426184991
Autoawq recently made a release that distributed pre-compiled kernels on CUDA 12.2. Our VM support CUDA 11.8
As we were testing everything before that release, we need to ... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
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] | 1,699 | 1,699 | 1,699 | COLLABORATOR | null | # What does this PR do?
Aligned with #27336 this PR adds the conversion of the tokenizer form `tiktoken` to `transformers` | {
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"Agree! Wdyt @ArthurZucker ",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_27337). All of your documentation changes will be reflected on that endpoint."
] | 1,699 | 1,699 | 1,699 | CONTRIBUTOR | null | # What does this PR do?
Since benchmarking tools was deprecated by https://github.com/huggingface/transformers/pull/15848, I think it is more appropriate to put the corresponding examples in the legacy directory :-).
WDYT @patrickvonplaten @LysandreJik
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"Thanks, this can be extremely helpful!",
"@ArthurZucker Thanks! Did not see the download fixing PR, and you were quite fast with tokenizer support, congrats)\r\nExcept for the tokenizer, the feature extractor parameters should also be fetched and exported, esp. given that `v3` uses a different number of melbanks... | 1,699 | 1,705 | 1,700 | CONTRIBUTOR | null | # What does this PR do?
Adds the ability to download and convert the fresh `large-v3` version of Whisper (https://github.com/openai/whisper/pull/1761/files).
Closes #27331.
The usage of `_download` method in `convert_openai_to_hf.py` turned out to be broken, that was fixed.
I also plan to add the processor (fea... | {
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"I've converted PR to draft, as I'm currently getting the following exception:\r\n```\r\nTraceback (most recent call last):\r\n File \"/Users/jstoone/Sites/huggingface/transformers/src/transformers/models/whisper/convert_openai_to_hf.py\", line 185, in <module>\r\n convert_openai_whisper_to_tfms(args.checkpoint... | 1,699 | 1,699 | 1,699 | NONE | null | # What does this PR do?
It adds the new large-v3 to the script which converts OpenAI model to HF.
The URL is copied from the PR releasing large-v3: https://github.com/openai/whisper/pull/1761
I can't find any tests related to the conversion script, so I've gone ahead and skipped that. Let me know, if I've missed... | {
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"@stevhliu\r\n\r\nHi, I will translate `Performance and scalability` part next.\r\n\r\nFor the possible merge conflict, I will fix it later after another pr merged. \r\n\r\nBest",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_27334). All of your documentation changes w... | 1,699 | 1,699 | 1,699 | CONTRIBUTOR | null | # What does this PR do?
Part of #26803
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md#start-contributing-pull-reques... | {
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"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md) a... | 1,699 | 1,702 | 1,702 | NONE | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/27332 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27332/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27332/comments | https://api.github.com/repos/huggingface/transformers/issues/27332/events | https://github.com/huggingface/transformers/issues/27332 | 1,980,460,013 | I_kwDOCUB6oc52C2vt | 27,332 | Early stopping can not save best model at last | {
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"cc @muellerzr ",
"Hi @ILG2021, what is in `trainer.args`?"
] | 1,699 | 1,707 | null | NONE | null | ### System Info
- `transformers` version: 4.35.0
- Platform: Linux-5.15.0-88-generic-x86_64-with-glibc2.31
- Python version: 3.10.11
- Huggingface_hub version: 0.17.3
- Safetensors version: 0.4.0
- Accelerate version: 0.24.1
- Accelerate config: not found
- PyTorch version (GPU?): 2.0.1 (True)
- Tensorflow ... | {
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https://api.github.com/repos/huggingface/transformers/issues/27331 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27331/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27331/comments | https://api.github.com/repos/huggingface/transformers/issues/27331/events | https://github.com/huggingface/transformers/issues/27331 | 1,980,420,148 | I_kwDOCUB6oc52CtA0 | 27,331 | Add OpenAI Whisper Large-v3 weights | {
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"cc @sanchit-gandhi ",
"I saw that the weights are already ported here: https://huggingface.co/openai/whisper-large-v3, and the announcements made by the team. Awesome work!\r\nAre there any reasons why this issue is not closed?",
" @gau-nernst As it's your issue, you can close it if you think it's resolved. #2... | 1,699 | 1,700 | 1,700 | CONTRIBUTOR | null | ### Feature request
OpenAI released Whisper Large-v3.
https://github.com/openai/whisper/discussions/1762
I haven't looked into it closely but it seems the only difference is using 128-bin Mel-spec instead of 80-bin, thus weight conversion should be the same.
### Motivation
NA
### Your contribution
NA | {
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https://api.github.com/repos/huggingface/transformers/issues/27330 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27330/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27330/comments | https://api.github.com/repos/huggingface/transformers/issues/27330/events | https://github.com/huggingface/transformers/pull/27330 | 1,979,997,157 | PR_kwDOCUB6oc5eu_yO | 27,330 | Fix FA2 import + deprecation cycle | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@SunMarc Merging so this can be part of a patch release. "
] | 1,699 | 1,699 | 1,699 | MEMBER | null | # What does this PR do ?
This PR puts back `is_flash_attn_available` and make it go through a deprecation cycle. It was removed in this [PR](#26785). As this method was never private, some remote modeling files used it. Fixes #27319
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"Hi @cassianlewis \r\nThanks a lot for the extensive benchmark here! \r\nMany things in your setup can add an overhead here, I think we should test it without `use_double_quant=True` and make sure to use the same dtype for `compute_dtype` and `torch_dtype`. For better efficiency, I would try with `torch_dtype=torch... | 1,699 | 1,699 | 1,699 | NONE | null | ### System Info
transformers: 4.35.0
python: 3.9.13
### Who can help?
@SunMarc
@younesbelkada
@gant
### 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 (g... | {
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https://api.github.com/repos/huggingface/transformers/issues/27328 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27328/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27328/comments | https://api.github.com/repos/huggingface/transformers/issues/27328/events | https://github.com/huggingface/transformers/pull/27328 | 1,979,824,130 | PR_kwDOCUB6oc5euZTO | 27,328 | Allow `# Ignore copy` | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_27328). All of your documentation changes will be reflected on that endpoint.",
"## observed code (where there is `#Copied from`)\r\n#### (There are 2 `# ignore copied` blocks: one is not in the target code, another one is ... | 1,699 | 1,701 | 1,701 | COLLABORATOR | null | # What does this PR do?
Allow `# ignore copied` as suggested in https://github.com/huggingface/transformers/pull/26713#discussion_r1354625364
The runtime of `check_copies` is the same as before.
See the comment below for an example. | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,699 | 1,699 | 1,699 | CONTRIBUTOR | null | The PR fixes some links that were resulting in 404 for various reasons: typos, external doc (e.g. for `flax.linen.Module`) moved, etc.
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"cc @muellerzr ",
"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/mai... | 1,699 | 1,708 | 1,708 | CONTRIBUTOR | null | # What does this PR do?
Report gradient norm during training - Fixes #26143
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/main/CONTRIBUTI... | {
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] | 1,699 | 1,701 | 1,701 | CONTRIBUTOR | null | # What does this PR do?
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"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md) a... | 1,699 | 1,702 | 1,702 | NONE | null | This commit introduces an enhancement to the `group_texts` function, allowing it to dynamically pad sequences within each batch to match the length of the longest sequence. This change ensures that batches fed into the model have uniform sequence lengths, improving model training stability and performance.
# What do... | {
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"All tests (even slow) pass!",
"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,699 | 1,699 | 1,699 | COLLABORATOR | null | # What does this PR do?
Fix `Kosmos2Processor` batch mode as there is a bug, see comment in the code change.
Fix one issue about batch mode opened in #27301 | {
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https://api.github.com/repos/huggingface/transformers/issues/27322 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27322/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27322/comments | https://api.github.com/repos/huggingface/transformers/issues/27322/events | https://github.com/huggingface/transformers/pull/27322 | 1,979,559,213 | PR_kwDOCUB6oc5eteZ4 | 27,322 | [Whisper] Block language/task args for English-only | {
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"Thanks for taking care of this so swiftly! 🤗 ",
"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,699 | 1,699 | 1,699 | CONTRIBUTOR | null | # What does this PR do?
The `language`/`task` args should only be forwarded to the multilingual Whisper models. Passing these args to the English-only models gives the wrong error message currently:
```
ValueError: The generation config is outdated and is thus not compatible with the `language` argument
to `gene... | {
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"Thanks @poedator for reporting, everything should be back to normal now. \r\nWe tested it with autoawq==0.1.4 which did not had the strong requirement for CUDA>=12.0, that has been introduced in the most recent release: https://github.com/casper-hansen/AutoAWQ/releases/tag/v0.1.6 . To install autoawq with CUDA < 1... | 1,699 | 1,703 | 1,699 | CONTRIBUTOR | null | ### System Info
colab
### Who can help?
@younesbelkada @SunMarc
### Information
- [ ] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or dataset (give details below)
### Reproduction
pa... | {
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https://api.github.com/repos/huggingface/transformers/issues/27320 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27320/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27320/comments | https://api.github.com/repos/huggingface/transformers/issues/27320/events | https://github.com/huggingface/transformers/pull/27320 | 1,979,506,849 | PR_kwDOCUB6oc5etS-w | 27,320 | [`Quantization`] Add str to enum conversion for AWQ | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@amyeroberts yes correct there is no backward compatibility to handle, it is more about users that can easily make the typo (\"GEMM\" vs \"gemm\") and lead to an error that is hard to understand for them. \r\nFor quantizing a model o... | 1,699 | 1,699 | 1,699 | CONTRIBUTOR | null | # What does this PR do?
Fixes https://github.com/huggingface/transformers/issues/27318
Some repositories that use the old conversion script have the `version` field set to `GEMM` whereas it should be `gemm`. Despite the fix should be that we should convert the config file accordingly e.g.: https://huggingface.co/... | {
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https://api.github.com/repos/huggingface/transformers/issues/27319 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27319/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27319/comments | https://api.github.com/repos/huggingface/transformers/issues/27319/events | https://github.com/huggingface/transformers/issues/27319 | 1,979,503,155 | I_kwDOCUB6oc51_NIz | 27,319 | ImportError: cannot import name 'is_flash_attn_available' from 'transformers.utils' (~/lib/python3.10/site-packages/transformers/utils/__init__.py) | {
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"Hi @Rajmehta123 ! Thanks for reporting this issue. This happens because in the latest version of transformers, we removed `is_flash_attn_available()` in favor of `is_flash_attn_2_available()`. See related [PR](https://github.com/huggingface/transformers/pull/26785). I guess the remote [code](https://huggingface.co... | 1,699 | 1,706 | 1,699 | NONE | null | ### System Info
transformers: 4.35.0
python: 3.10.13
Platform: Linux
### Who can help?
@Narsil @ArthurZucker @SunMarc
### Information
- [X] The official example scripts
- [ ] My own modified scripts
### Tasks
- [X] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
... | {
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https://api.github.com/repos/huggingface/transformers/issues/27318 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27318/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27318/comments | https://api.github.com/repos/huggingface/transformers/issues/27318/events | https://github.com/huggingface/transformers/issues/27318 | 1,979,478,212 | I_kwDOCUB6oc51_HDE | 27,318 | AWQ model error when `AwqConfig['version']` is a string | {
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"Hi the normal Cuda load as seen below\r\n\r\n**from transformers import AutoModelForCausalLM, AutoTokenizer\r\nimport torch\r\n\r\ntokenizer = AutoTokenizer.from_pretrained(\"quant_autoawq\")\r\nmodel = AutoModelForCausalLM.from_pretrained(\"quant_autoawq\", device_map=\"cuda:0\")****\r\n\r\nis taking up too much... | 1,699 | 1,699 | 1,699 | CONTRIBUTOR | null | ### System Info
A100 Cuda 12.2 transformers 4.36.0.dev (Nov4)
### Who can help?
@younesbelkada @SunMarc
### Information
- [ ] The official example scripts
- [X] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or dataset (g... | {
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https://api.github.com/repos/huggingface/transformers/issues/27317 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27317/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27317/comments | https://api.github.com/repos/huggingface/transformers/issues/27317/events | https://github.com/huggingface/transformers/issues/27317 | 1,979,456,875 | I_kwDOCUB6oc51_B1r | 27,317 | audio pipeline support for initial_prompt? | {
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"cc @sanchit-gandhi ",
"let me know if i am mistaken, but we cannot find initial_prompt in audio pipeline.",
"Hey @silvacarl2! The `pipeline` is a high-level helper function that is compatible with **all** audio models in the Transformers library. It's not meant to be fully comprehensive, but rather an easy API... | 1,699 | 1,707 | null | NONE | null | ### System Info
Is there a parameter someplace for audio pipeline support for initial_prompt?
like this: https://github.com/openai/whisper/discussions/963
$ whisper --help
optional arguments:
--initial_prompt INITIAL_PROMPT
optional text to provide as a prompt for the first window. (default: None)
$ whispe... | {
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https://api.github.com/repos/huggingface/transformers/issues/27316 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27316/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27316/comments | https://api.github.com/repos/huggingface/transformers/issues/27316/events | https://github.com/huggingface/transformers/pull/27316 | 1,979,357,119 | PR_kwDOCUB6oc5esyHS | 27,316 | Fix Falcon tokenizer loading in pipeline | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"This turned out to be a more involved fix than I thought, so I'm going to put in a quick hack at @ArthurZucker's suggestion to fix it for Falcon, and come back to it later when the Keras 3 Situation is less urgent!",
"Some unrelate... | 1,699 | 1,699 | 1,699 | MEMBER | null | Previously, pipelines checked `config.json` for info on the model tokenizer. However, often the information they want is not here, and is instead stored in `tokenizer_config.json`. This PR changes the pipeline code to more aggressively try `AutoTokenizer.from_pretrained()` even if `model.config` doesn't contain tokeniz... | {
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https://api.github.com/repos/huggingface/transformers/issues/27315 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27315/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27315/comments | https://api.github.com/repos/huggingface/transformers/issues/27315/events | https://github.com/huggingface/transformers/pull/27315 | 1,979,267,354 | PR_kwDOCUB6oc5eseF- | 27,315 | [`Llama + Mistral`] Add attention dropout | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,699 | 1,699 | 1,699 | COLLABORATOR | null | # What does this PR do?
fixes #26616 by adding the `attention_dropout` attribute to the config and the logic in the code. | {
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https://api.github.com/repos/huggingface/transformers/issues/27314 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27314/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27314/comments | https://api.github.com/repos/huggingface/transformers/issues/27314/events | https://github.com/huggingface/transformers/pull/27314 | 1,979,140,359 | PR_kwDOCUB6oc5esCGg | 27,314 | Fix id_tensor_storage in case the tensor is a view of an other tensor | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_27314). All of your documentation changes will be reflected on that endpoint.",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please... | 1,699 | 1,701 | 1,701 | COLLABORATOR | null | As per title and discussed offline @LysandreJik
Currently `safe_serialization=True` may unexpectedly erase tensors from the state_dict due to this issue.
A release or patch release including https://github.com/huggingface/safetensors/pull/379 will be needed to work with this PR, to avoid this error with the curr... | {
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https://api.github.com/repos/huggingface/transformers/issues/27313 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27313/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27313/comments | https://api.github.com/repos/huggingface/transformers/issues/27313/events | https://github.com/huggingface/transformers/pull/27313 | 1,979,065,776 | PR_kwDOCUB6oc5erynL | 27,313 | [`PretrainedTokenizer`] add some of the most important functions to the doc | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,699 | 1,699 | 1,699 | COLLABORATOR | null | # What does this PR do?
Fixes #27132 by adding `add_tokens` and `add_special_tokens` to the documentation | {
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https://api.github.com/repos/huggingface/transformers/issues/27312 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27312/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27312/comments | https://api.github.com/repos/huggingface/transformers/issues/27312/events | https://github.com/huggingface/transformers/issues/27312 | 1,978,865,742 | I_kwDOCUB6oc518xhO | 27,312 | Want to add a new model | {
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"Closing as this is a duplicate of #27308"
] | 1,699 | 1,699 | 1,699 | NONE | null | ### Model description
ReCag will be a generative model
### Open source status
- [X] The model implementation is available
- [ ] The model weights are available
### Provide useful links for the implementation
_No response_ | {
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https://api.github.com/repos/huggingface/transformers/issues/27311 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27311/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27311/comments | https://api.github.com/repos/huggingface/transformers/issues/27311/events | https://github.com/huggingface/transformers/issues/27311 | 1,978,836,007 | I_kwDOCUB6oc518qQn | 27,311 | TypeError: ResNet.__init__() got an unexpected keyword argument 'out_indices' | {
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"Hi @wuxiaolianggit, thanks for raising this issue. \r\n\r\nSo that we can help you, could you make sure to fill out the [bug report template](https://github.com/huggingface/transformers/blob/main/.github/ISSUE_TEMPLATE/bug-report.yml) and include: \r\n\r\n* Minimal code reproducer\r\n* The running environment: run... | 1,699 | 1,702 | 1,702 | NONE | null | Hello, may I ask you a question? How to solve this problem about “TypeError: ResNet.__init__() got an unexpected keyword argument 'out_indices‘”？@ @vanpelt @tmm1 @pvl @tmc @arfon | {
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https://api.github.com/repos/huggingface/transformers/issues/27310 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27310/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27310/comments | https://api.github.com/repos/huggingface/transformers/issues/27310/events | https://github.com/huggingface/transformers/issues/27310 | 1,978,762,758 | I_kwDOCUB6oc518YYG | 27,310 | Evaluation with HuggingFace Whisper | {
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"Hey @qnxgy921, could you possibly share the audio sample you're using so we can run the example end-to-end? Currently, it uses a local audio file, so we cannot reproduce the repeating prompt phenomenon. Happy to advise on how to fix the parameters here!",
"This issue has been automatically marked as stale becaus... | 1,699 | 1,704 | 1,704 | NONE | null | ### System Info
Copy-and-paste the text below in your GitHub issue and FILL OUT the two last points.
- `transformers` version: 4.35.0
- Platform: Linux-5.15.0-88-generic-x86_64-with-glibc2.31
- Python version: 3.10.12
- Huggingface_hub version: 0.16.4
- Safetensors version: 0.3.1
- Accelerate version: 0.25.0.d... | {
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https://api.github.com/repos/huggingface/transformers/issues/27309 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27309/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27309/comments | https://api.github.com/repos/huggingface/transformers/issues/27309/events | https://github.com/huggingface/transformers/issues/27309 | 1,978,762,621 | I_kwDOCUB6oc518YV9 | 27,309 | model.add_adapter() does not work correctly, raising the following error while check_peft_version : [PEFT is not installed. Please install it with `pip install peft`] | {
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"cc @pacman100 @younesbelkada ",
"you may have a broken installation of peft, can you try to re-run your script by uninstall peft and re-installing it again?\r\n```bash\r\npip uninstall peft && pip install -U peft\r\n```",
"Thank you for your response. However, I have implemented that solution previously but en... | 1,699 | 1,702 | 1,702 | NONE | null | ### System Info
- `transformers` version: 4.35.0
- Platform: Linux-5.15.120+-x86_64-with-glibc2.35
- Python version: 3.10.12
- Huggingface_hub version: 0.17.3
- Safetensors version: 0.4.0
- Accelerate version: 0.24.1
- Accelerate config: not found
- PyTorch version (GPU?): 2.1.0+cu121 (True)
- Tensorflow ve... | {
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"Hi @Ranitbag007, thanks for opening this new model request! \r\n\r\nCould you update the issue description to include any relevant links to the model, such as the paper and any relevant repos?\r\n\r\nWe have recently been trying to push for `model on the hub` and have as much support as we can there. It will also ... | 1,699 | 1,699 | null | NONE | null | ### Model description
Want to add a new model ReCag in Transformers.
### Open source status
- [X] The model implementation is available
- [ ] The model weights are available
### Provide useful links for the implementation
_No response_ | {
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https://api.github.com/repos/huggingface/transformers/issues/27307 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27307/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27307/comments | https://api.github.com/repos/huggingface/transformers/issues/27307/events | https://github.com/huggingface/transformers/pull/27307 | 1,978,735,719 | PR_kwDOCUB6oc5eqp3o | 27,307 | Fix daily CI image build | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,699 | 1,699 | 1,699 | COLLABORATOR | null | # What does this PR do?
This is currently failing due to `intel_extension_for_pytorch`. The post fix in the version like `intel_extension_for_pytorch==1.11.0+cpu` is no longer working 4 days ago. So I remove it.
Also update the version to `2.1.0`.
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https://api.github.com/repos/huggingface/transformers/issues/27306 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27306/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27306/comments | https://api.github.com/repos/huggingface/transformers/issues/27306/events | https://github.com/huggingface/transformers/pull/27306 | 1,978,731,139 | PR_kwDOCUB6oc5eqo49 | 27,306 | Update doctest workflow file | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,699 | 1,699 | 1,699 | COLLABORATOR | null | # What does this PR do?
@glegendre01 mentioned this to me, due to a change in AWS CI runner setting.
Without this, this CI could not find runner to run. | {
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"Hi @rb-synth \r\nThanks for the issue and your interest for using SAM ! \r\nDo you observe the same behaviour when using the original repository? I think that this is expected as you always need to provide at least a single 2D point or a bounding box in order for the model to predict accurately segmentation masks.... | 1,699 | 1,707 | 1,707 | NONE | null | ### System Info
- `transformers` version: 4.35.0
- Platform: Linux-5.15.0-1043-aws-x86_64-with-glibc2.31
- Python version: 3.10.13
- Huggingface_hub version: 0.17.3
- Safetensors version: 0.4.0
- Accelerate version: 0.24.1
- Accelerate config: not found
- PyTorch version (GPU?): 2.1.0+cu121 (True)
- Tenso... | {
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https://api.github.com/repos/huggingface/transformers/issues/27304 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27304/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27304/comments | https://api.github.com/repos/huggingface/transformers/issues/27304/events | https://github.com/huggingface/transformers/issues/27304 | 1,978,548,835 | I_kwDOCUB6oc517kJj | 27,304 | DirectML quantized models | {
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"Hi @PHIL-GIBSON-1990, thanks for raising this issue! \r\n\r\nI'm not familiar with DirectML, or our support for it - cc @SunMarc as this error seems to be triggered with [GPTQ quantization](https://github.com/huggingface/transformers/blob/eef7ea98c31a333bacdc7ae7a2372bde772be8e4/src/transformers/modeling_utils.py... | 1,699 | 1,702 | 1,702 | NONE | null | ### System Info
- `transformers` version: 4.34.1
- Platform: Windows-10-10.0.19045-SP0
- Python version: 3.10.6
- Huggingface_hub version: 0.17.3
- Safetensors version: 0.4.0
- Accelerate version: 0.24.1
- Accelerate config: not found
- PyTorch version (GPU?): 2.0.0+cpu (False)
- Tensorflow version (GPU?)... | {
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https://api.github.com/repos/huggingface/transformers/issues/27303 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27303/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27303/comments | https://api.github.com/repos/huggingface/transformers/issues/27303/events | https://github.com/huggingface/transformers/issues/27303 | 1,978,412,872 | I_kwDOCUB6oc517C9I | 27,303 | KV cache optimization with paged attention | {
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"cc @gante (I think this is closest to your work - sorry if wrong! ) ",
"@jgong5\r\n",
"Hi @liangan1 👋 \r\n\r\nWe are close to introducing a new cache abstraction (https://github.com/huggingface/transformers/pull/26681). I believe that, after this PR is merged, adding paged attention would become directly appl... | 1,699 | 1,704 | null | NONE | null | ### Feature request
Paged attention has been enabled by a lot of server engine, e.g., [vllm](https://github.com/vllm-project/vllm), [tensorrt-llm](https://github.com/NVIDIA/TensorRT-LLM/blob/release/0.5.0/tensorrt_llm/runtime/kv_cache_manager.py)
### Motivation
KV cache is used to reduce computation for Decod... | {
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https://api.github.com/repos/huggingface/transformers/issues/27302 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27302/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27302/comments | https://api.github.com/repos/huggingface/transformers/issues/27302/events | https://github.com/huggingface/transformers/issues/27302 | 1,978,370,685 | I_kwDOCUB6oc5164p9 | 27,302 | Issue with Whisper model | {
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"After a bit of digging the Whisper AI builds a map of special tokens:\r\n```\r\nadditional_tokens = dict(\r\n zip(\r\n tokenizer.tokenizer.additional_special_tokens,\r\n tokenizer.tokenizer.additional_special_tokens_ids,\r\n )\r\n )\r\n```\r\n \r\non v... | 1,699 | 1,702 | 1,702 | NONE | null | ### System Info
After upgrading from version 4.30.2 to 4.35.0 the Whisper model stopped working.
The issue is with the following piece of the code:
```
if tokenizer is None:
tokenizer = get_tokenizer(model.is_multilingual)
if tokenizer.language is None or tokenizer.language_token not in tokenizer.so... | {
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https://api.github.com/repos/huggingface/transformers/issues/27301 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27301/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27301/comments | https://api.github.com/repos/huggingface/transformers/issues/27301/events | https://github.com/huggingface/transformers/issues/27301 | 1,978,228,011 | I_kwDOCUB6oc516V0r | 27,301 | Kosmos2 device_map and batch processing issues. | {
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"cc @ydshieh ",
"Hi @rabiulcste \r\n\r\nThank you (again) for opening this issue. I will take a look. In order to ease the process, could you provide all the necessary imports and variable definition.\r\n\r\nThe goal is to have a self-complete code snippet that could be run, so we can debug it straightforward.",
... | 1,699 | 1,699 | 1,699 | NONE | null | ### System Info
- `transformers` version: 4.36.0.dev0
- Platform: Linux-4.15.0-213-generic-x86_64-with-glibc2.27
- Python version: 3.10.11
- Huggingface_hub version: 0.16.4
- Safetensors version: 0.3.2
- Accelerate version: 0.21.0
- Accelerate config: not found
- PyTorch version (GPU?): 2.0.1+cu117 (True... | {
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https://api.github.com/repos/huggingface/transformers/issues/27300 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27300/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27300/comments | https://api.github.com/repos/huggingface/transformers/issues/27300/events | https://github.com/huggingface/transformers/issues/27300 | 1,978,134,929 | I_kwDOCUB6oc515_GR | 27,300 | There is a bug when using the neftune_noise_alpha feature in transformers v4.35.0. | {
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"cc @muellerz @pacman100 ",
"Hello @amyeroberts , tagging @younesbelkada would added the feature. Untagging myself.",
"The error is \r\n\r\n```bash\r\nTypeError: _set_gradient_checkpointing() got an unexpected keyword argument 'enable'\r\n```\r\n\r\nThis is because you are using a model that uses code on the Hu... | 1,699 | 1,700 | 1,700 | NONE | null | ### System Info
- `transformers` version: 4.35.0
- Platform: Linux-4.19.91-014.kangaroo.alios7.x86_64-x86_64-with-glibc2.17
- Python version: 3.8.13
- Huggingface_hub version: 0.16.4
- Safetensors version: 0.3.1
- Accelerate version: 0.21.0
- Accelerate config: not found
- PyTorch version (GPU?): 2.0.1+cu117... | {
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https://api.github.com/repos/huggingface/transformers/issues/27299 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27299/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27299/comments | https://api.github.com/repos/huggingface/transformers/issues/27299/events | https://github.com/huggingface/transformers/issues/27299 | 1,978,032,618 | I_kwDOCUB6oc515mHq | 27,299 | Deepspeed integration: support batch sizes that are less than the number of gpus/ranks | {
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"cc @muellerzr @pacman100 ",
"Hello, this isn't possible. DeepSpeed is a Data Parallel paradigm, meaning each process/rank should get at least one sample. \r\n\r\n> As far as i know there is no fundamental requirement with zero style shading for there to be one batch per GPU.\r\n\r\nData Parallel by definition re... | 1,699 | 1,700 | null | NONE | null | ### Feature request
Currently when training using trainer and the deepspeed zero integration the minimum total effective batch size is one per gpu/rank, thus on a 8 gpu machine the minimum effective batch size is 8.
As far as i know there is no fundamental requirement with zero style shading for there to be one b... | {
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https://api.github.com/repos/huggingface/transformers/issues/27298 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27298/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27298/comments | https://api.github.com/repos/huggingface/transformers/issues/27298/events | https://github.com/huggingface/transformers/issues/27298 | 1,977,984,216 | I_kwDOCUB6oc515aTY | 27,298 | cannot import name 'LlamaConfig' from 'transformers | {
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"Hi @Ahmed-Roushdy !\r\nI see from the details above that:\r\n\r\n> adapter-transformers version: 3.2.1\r\n\r\nCan you try to install the latest `transformers` package instead? `pip install -U transformers`",
"This issue has been automatically marked as stale because it has not had recent activity. If you think t... | 1,699 | 1,702 | 1,702 | NONE | null | ### System Info
- `adapter-transformers` version: 3.2.1
- Platform: Linux-5.8.0-59-generic-x86_64-with-glibc2.17
- Python version: 3.8.16
- Huggingface_hub version: 0.12.1
- PyTorch version (GPU?): 1.11.0+cu113 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installe... | {
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https://api.github.com/repos/huggingface/transformers/issues/27297 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27297/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27297/comments | https://api.github.com/repos/huggingface/transformers/issues/27297/events | https://github.com/huggingface/transformers/issues/27297 | 1,977,965,674 | I_kwDOCUB6oc515Vxq | 27,297 | Unable to uninstall transformers package | {
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"Hi @Ahmed-Roushdy, thanks for opening an issue. \r\n\r\nFrom the error, it looks like this isn't a transformers library but due to not having write access for running pip in the environment. As such, this isn't something we're able to help with. If you installed `transformers` using `sudo`, you should try uninstal... | 1,699 | 1,699 | 1,699 | NONE | null | ### System Info
Copy-and-paste the text below in your GitHub issue and FILL OUT the two last points.
- `adapter-transformers` version: 3.2.1
- Platform: Linux-5.8.0-59-generic-x86_64-with-glibc2.17
- Python version: 3.8.16
- Huggingface_hub version: 0.12.1
- PyTorch version (GPU?): 1.11.0+cu113 (True)
- Tensor... | {
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https://api.github.com/repos/huggingface/transformers/issues/27296 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27296/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27296/comments | https://api.github.com/repos/huggingface/transformers/issues/27296/events | https://github.com/huggingface/transformers/pull/27296 | 1,977,933,606 | PR_kwDOCUB6oc5en-a2 | 27,296 | Fix VideoMAEforPretrained dtype error | {
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"Hi @amyeroberts \r\n\r\nAfter further investigation into the issue, I discovered that the pixel_values are of the correct dtype. However, in L851, the MEAN and STD values are loaded as float32. Consequently, in L853, where `frames = pixel_values * std + mean`, frames is converted to float32. This causes problems i... | 1,699 | 1,699 | 1,699 | 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/27295 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27295/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27295/comments | https://api.github.com/repos/huggingface/transformers/issues/27295/events | https://github.com/huggingface/transformers/issues/27295 | 1,977,933,384 | I_kwDOCUB6oc515N5I | 27,295 | VideoMAEforPretrained cannot be trained with Bfloat16 | {
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"Hi @ikergarcia1996 thanks for reporting and opening a PR! \r\n\r\nI've started a review on the PR around implementation specifics and I think once merged that should resolve the issue.",
"Fixed #27296"
] | 1,699 | 1,699 | 1,699 | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.35.0
- Platform: Linux-6.5.6-76060506-generic-x86_64-with-glibc2.35
- Python version: 3.10.12
- Huggingface_hub version: 0.16.4
- Safetensors version: 0.3.1
- Accelerate version: 0.24.1
- Accelerate config: not found
- PyTorch version (GPU?): 2.2.0.dev20230907 (Tru... | {
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https://api.github.com/repos/huggingface/transformers/issues/27294 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27294/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27294/comments | https://api.github.com/repos/huggingface/transformers/issues/27294/events | https://github.com/huggingface/transformers/issues/27294 | 1,977,914,522 | I_kwDOCUB6oc515JSa | 27,294 | large alloc when running code flax speech recognition. | {
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"cc @sanchit-gandhi ",
"Hey @pphuc25 - you can ignore this warning. It doesn't mean that training will be slower or that there's anything wrong with the script. _c.f._ https://stackoverflow.com/a/52399665. You can change the `tcmalloc` threshold if you want to hide these warnings, e.g. as per https://github.com/h... | 1,699 | 1,701 | 1,701 | CONTRIBUTOR | null | ### System Info
When I run the code for training, the problem appears when the warning large alloc, but I do not understand why this happens, this make the training progress really slow, I am currently run on TPU v3-8
The warning be like
```
cmalloc: large alloc 13261799424 bytes == 0x53d90000 @ 0x7efe22acb680... | {
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"Thanks for reporting! I can reproduce, I'm fixing.",
"Hmmm actually, it seems like it was just a mistake on my end, I cannot reproduce after trying again.\r\n\r\nIf you load the fuyu model, save it, and reload it once again, do you have an error? Does it only happen after fine-tuning?",
"> Hmmm actually, it se... | 1,699 | 1,708 | null | NONE | null | ### System Info
- `transformers` version: 4.36.0.dev0
- Platform: Linux-4.19.0-25-cloud-amd64-x86_64-with-glibc2.28
- Python version: 3.9.17
- Huggingface_hub version: 0.16.4
- Safetensors version: 0.3.2
- Accelerate version: 0.24.1
- Accelerate config: not found
- PyTorch version (GPU?): 2.0.1+cu118 (True)
... | {
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https://api.github.com/repos/huggingface/transformers/issues/27292 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27292/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27292/comments | https://api.github.com/repos/huggingface/transformers/issues/27292/events | https://github.com/huggingface/transformers/issues/27292 | 1,977,819,033 | I_kwDOCUB6oc514x-Z | 27,292 | Error inferencing on 2x A100 GPUs | {
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"Hi @RonanKMcGovern \r\nThanks for the issue! :D \r\nOne thing that is a bit unusual here is that you are forcing the whole model to fit on a single GPU (through `device_map={\"\": \"cuda:0\"}`) for a 40B model in bfloat16. I don't think such a model should fit in a single A100 GPU for generation. Since you force t... | 1,699 | 1,702 | 1,702 | NONE | null | ### System Info
I'm getting this issue with 2x A100s for inference (or training too), but I don't get the issue with 4x A6000s.
*Environment*
```
- `transformers` version: 4.36.0.dev0
- Platform: Linux-5.4.0-149-generic-x86_64-with-glibc2.35
- Python version: 3.10.6
- Huggingface_hub version: 0.18.0
- Safeten... | {
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https://api.github.com/repos/huggingface/transformers/issues/27291 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27291/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27291/comments | https://api.github.com/repos/huggingface/transformers/issues/27291/events | https://github.com/huggingface/transformers/pull/27291 | 1,977,739,921 | PR_kwDOCUB6oc5enYzX | 27,291 | translate the en tokenizer_summary.md to Chinese | {
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"> Thanks for the translation! Remember to add it to [`source/zh/_toctree.yml`](https://github.com/huggingface/transformers/blob/main/docs/source/zh/_toctree.yml) so it gets built :)\r\n\r\nI add the file to the _toctree.yml file.\r\n\r\n",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/doc... | 1,699 | 1,699 | 1,699 | CONTRIBUTOR | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/27290 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27290/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27290/comments | https://api.github.com/repos/huggingface/transformers/issues/27290/events | https://github.com/huggingface/transformers/issues/27290 | 1,977,707,617 | I_kwDOCUB6oc514Wxh | 27,290 | Bart vs T5 inference time | {
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"@hadifar can i work on this issue ? i think we can use quantization to reduce the size of the BART-base model and potentially improve its inference speed.",
"Hey 🤗 You are running a summurization task, which depends a lot on how well the model performs because the generation time is bounded by how much text is... | 1,699 | 1,702 | 1,702 | NONE | null | ### System Info
```
- `transformers` version: 4.35.0
- Platform: Linux-5.15.120+-x86_64-with-glibc2.35
- Python version: 3.10.12
- Huggingface_hub version: 0.17.3
- Safetensors version: 0.4.0
- Accelerate version: not installed
- Accelerate config: not found
- PyTorch version (GPU?): 2.1.0+cu118 (False)
- Ten... | {
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"Very good catch! I'll open a pr for this. Affect both `convert_ids_to_tokens` and decode. 🤗 I need to do some benchmarking as I suspect this does won't have a huge impact but will give it a shot. I plan to benchmark our full calls to make sure we don't have things similar to this else where",
"My initial tests ... | 1,699 | 1,704 | null | NONE | null | ### System Info
- `transformers` version: 4.29.0.dev0
- Platform: macOS-14.0-arm64-arm-64bit
- Python version: 3.11.4
- Huggingface_hub version: 0.13.3
- Safetensors version: not installed
- PyTorch version (GPU?): 2.0.0 (False)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): ... | {
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https://api.github.com/repos/huggingface/transformers/issues/27288 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27288/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27288/comments | https://api.github.com/repos/huggingface/transformers/issues/27288/events | https://github.com/huggingface/transformers/pull/27288 | 1,977,577,865 | PR_kwDOCUB6oc5em5r1 | 27,288 | Remove a redundant variable. | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_27288). All of your documentation changes will be reflected on that endpoint."
] | 1,699 | 1,699 | 1,699 | CONTRIBUTOR | null | Remove the redundant variable from the feature_extraction.py file.
Here's what it looks like now!:
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other ... | {
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"this might need to be split into 3 lines as I edited the file online so no format/linter",
"Hey! I'll ping @molbap as he recently re-worked that part! Thanks for reporting\r\n",
"Hi @grahamannett, thanks! indeed this would cause errors, ideally it would be good to ensure all tensors are on the same device for ... | 1,699 | 1,704 | 1,704 | NONE | null | # What does this PR do?
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"I'm closing this issue as adding `problem_type='regression'` solves this issue."
] | 1,699 | 1,699 | 1,699 | NONE | null | ### System Info
- `transformers` version: 4.32.0.dev0
- Platform: Linux-3.10.0-1160.31.1.el7.x86_64-x86_64-with-glibc2.17
- Python version: 3.9.0
- Huggingface_hub version: 0.16.4
- Safetensors version: 0.3.1
- Accelerate version: 0.21.0
- Accelerate config: not found
- PyTorch version (GPU?): 2.0.1+cu117 (... | {
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https://api.github.com/repos/huggingface/transformers/issues/27285 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27285/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27285/comments | https://api.github.com/repos/huggingface/transformers/issues/27285/events | https://github.com/huggingface/transformers/issues/27285 | 1,977,465,272 | I_kwDOCUB6oc513bm4 | 27,285 | Implement Cross Attention in LLAMA Model | {
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"@amyeroberts @eitamar-saraf can i work on this ? i think Preparing separate embeddings for different modalities and Modifying query, key, and value matrices to attend to tokens might work ",
"@amyeroberts can i work on this \r\n",
"@shankarsharma8089 One thing to note is that Llama is a decoder-only model - wh... | 1,699 | 1,700 | null | NONE | null | ### Feature request
The current implementation of the LLAMA model in the Hugging Face Transformers repository supports self-attention layers as per the standard design of transformer models. I propose the addition of an option to use several or all attention layers as cross-attention layers instead of self-attention... | {
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The current implementation of the LLAMA model in the Hugging Face Transformers repository supports self-attention layers as per the standard design of transformer models. I propose the addition of an option to use several or all attention layers as cross-attention layers instead of self-attention l... | {
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"@stevhliu\r\n\r\nHi,\r\n\r\nHere are last two files of Tutorials section. And I have a problem to translate `moving parts`in llm_tutorial.md.\r\nI think `moving parts` means \"there are many things that must all happen for success. But only one thing must go wrong for failure.\" And it's very hard to be translate... | 1,699 | 1,699 | 1,699 | CONTRIBUTOR | null | # What does this PR do?
Part of #26803
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md#start-contributing-pull-reques... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_27282). All of your documentation changes will be reflected on that endpoint.",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please... | 1,699 | 1,705 | 1,702 | MEMBER | null | null | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_27281). All of your documentation changes will be reflected on that endpoint."
] | 1,699 | 1,699 | 1,699 | CONTRIBUTOR | null | # What does this PR do?
Resolve the ImportError raised when running the [Text classification](https://huggingface.co/docs/transformers/tasks/sequence_classification) notebook.
I'm adding accelerate as one of the libraries to instal, as the model would otherwise error out with the below error when we attempt to ru... | {
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https://api.github.com/repos/huggingface/transformers/issues/27280 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27280/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27280/comments | https://api.github.com/repos/huggingface/transformers/issues/27280/events | https://github.com/huggingface/transformers/pull/27280 | 1,977,152,547 | PR_kwDOCUB6oc5elkqc | 27,280 | enable memory tracker metrics for npu | {
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"Verified with the following test case.\r\n```python\r\n# spec.py\r\nimport torch\r\nimport torch_npu\r\n# User can add additional imports here\r\n\r\n# Specify the device name (eg. 'cuda', 'cpu')\r\nDEVICE_NAME = 'npu:0'\r\n\r\n# Specify device-specific backends to dispatch to.\r\n# If not specified (i.e., `None`)... | 1,699 | 1,699 | 1,699 | CONTRIBUTOR | null | # What does this PR do?
As per title.
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md#start-contributing-pull-request... | {
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https://api.github.com/repos/huggingface/transformers/issues/27279 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27279/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27279/comments | https://api.github.com/repos/huggingface/transformers/issues/27279/events | https://github.com/huggingface/transformers/issues/27279 | 1,977,149,033 | I_kwDOCUB6oc512OZp | 27,279 | Different handling of added tokens between fast and slow LlamaTokenizer | {
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"guess it's the same issue as this one: https://github.com/huggingface/transformers/issues/27132",
"Yep looks pretty similar. This nevered worked for any tokenizers before 😉 ",
"so if I understand the answer in the other thread correctly, using `normalized=False` would yield consistent results for fast and slo... | 1,699 | 1,702 | 1,702 | NONE | null | ### System Info
- `transformers` version: 4.35.0
- Platform: Linux-5.15.0-67-generic-x86_64-with-glibc2.31
- Python version: 3.10.11
- Huggingface_hub version: 0.17.3
- Safetensors version: 0.3.3
- Accelerate version: 0.23.0
- Accelerate config: not found
- PyTorch version (GPU?): 2.0.1 (True)
- Tensorflow ... | {
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https://api.github.com/repos/huggingface/transformers/issues/27278 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27278/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27278/comments | https://api.github.com/repos/huggingface/transformers/issues/27278/events | https://github.com/huggingface/transformers/issues/27278 | 1,977,053,371 | I_kwDOCUB6oc5113C7 | 27,278 | Transformers version 4.35.0 is breaking PEFT 0.0.6 -- IndexError | {
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"cc @younesbelkada ",
"This should be fixed in https://github.com/huggingface/peft/pull/1084 \r\nWould it makes sense to have a patch release on PEFT side @BenjaminBossan @pacman100 ?",
"Thank you very much for jumping on this so fast! If you decide to make a patch, please notify herein -- as I am watching thi... | 1,699 | 1,699 | 1,699 | NONE | null | ### System Info
Hello,
With the Transformers version 4.35.0 and PEFT version 0.6.0 -- when running a model with `input_ids` and `attention_mask` as arguments, the IndexError exception occurs in "peft/tuners/adaption_prompt/utils.py:45":
```
model(input_ids=model_inputs, attention_mask=attention_masks).get("lo... | {
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https://api.github.com/repos/huggingface/transformers/issues/27277 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27277/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27277/comments | https://api.github.com/repos/huggingface/transformers/issues/27277/events | https://github.com/huggingface/transformers/issues/27277 | 1,976,949,541 | I_kwDOCUB6oc511dsl | 27,277 | Question: Resources to implement random & greedy sampling, beam search? | {
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"Hi @EricLBuehler - thanks for raising an issue! \r\n\r\nI can see that the issue is closed but for anyone in future visiting this thread, details on customising generation strategies can be found here: https://huggingface.co/docs/transformers/generation_strategies"
] | 1,699 | 1,699 | 1,699 | NONE | null | Hello everybody,
I want to implement random sampling, greedy sampling, and beam search, but cannot seem to find any useful resources on how to implement them.
Could you please provide some resources or code examples (perhaps from this repo) on how to implement the sampling strategies above? | {
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https://api.github.com/repos/huggingface/transformers/issues/27276 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27276/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27276/comments | https://api.github.com/repos/huggingface/transformers/issues/27276/events | https://github.com/huggingface/transformers/pull/27276 | 1,976,903,748 | PR_kwDOCUB6oc5ekvri | 27,276 | Minor type annotation fix | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Hi @amyeroberts thanks foe the comment!\r\n\r\n```\r\nFAILED examples/pytorch/test_accelerate_examples.py::ExamplesTestsNoTrainer::test_run_glue_no_trainer - AssertionError: 0.6666666666666666 not greater than or equal to 0.75\r\nFAI... | 1,699 | 1,700 | 1,699 | CONTRIBUTOR | null | # What does this PR do?
Very minor type annotation fix.
<!--
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 contribut... | {
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https://api.github.com/repos/huggingface/transformers/issues/27275 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27275/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27275/comments | https://api.github.com/repos/huggingface/transformers/issues/27275/events | https://github.com/huggingface/transformers/pull/27275 | 1,976,900,834 | PR_kwDOCUB6oc5ekvD3 | 27,275 | VSCode pylance auto-completion for `HfArgumentParser` (limited support) | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_27275). All of your documentation changes will be reflected on that endpoint.",
"Hello!\r\n\r\nAs some alternative suggestions, `typing.Generic` does make specificity in `parse_args_into_dataclasses()` possible.\r\n\r\n(1) ... | 1,699 | 1,702 | 1,702 | CONTRIBUTOR | null | # Problem description
This PR empowers limited support of VSCode auto-completion for `HfArgumentParser`. Currently, the return type of `parse_args_into_dataclasses` is `DataClass = NewType("DataClass", Any)`, which limits pylance's ability to infer types even if we specifically assert a dataclass type fo the args.
... | {
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https://api.github.com/repos/huggingface/transformers/issues/27274 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27274/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27274/comments | https://api.github.com/repos/huggingface/transformers/issues/27274/events | https://github.com/huggingface/transformers/pull/27274 | 1,976,695,752 | PR_kwDOCUB6oc5ekCo7 | 27,274 | Track the number of tokens seen to metrics | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@amyeroberts question: these failures are all because they cannot find the `main_input_name` in the batch. Does this mean some of the models are wrong?\r\n\r\nFor instance, one of the failures in the examples script is from `SpeechEn... | 1,699 | 1,699 | 1,699 | CONTRIBUTOR | null | # What does this PR do?
This PR adds `num_tokens_seen` to the `TrainerState` allowing users to know how many tokens were passed in an individual batch. Uses `gather` to ensure that in DDP this can be known as well.
Fixes https://github.com/huggingface/transformers/issues/27027
## Before submitting
- [ ] Thi... | {
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"Hi @Luodian, thanks for raising this issue! \r\n\r\nI looks like we might have to pin pydantic in our setup.py - WDYT @ydshieh?",
"Hi @Luodian \r\n\r\nWe do have `\"pydantic<2\",` in out `setup.py`\r\n\r\nRelated https://github.com/huggingface/transformers/pull/24596\r\n\r\nNot sure how much we can do with `pyda... | 1,699 | 1,702 | 1,702 | NONE | null | ### System Info
The error would be as
```
Failed to import transformers.generation.utils because of the following error (look up to see its traceback): 'FieldInfo' object has no attribute 'required'
```
I spent a lot of time to spot it's the version change from the installation of upgrading `gradio` and it cau... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_27272). All of your documentation changes will be reflected on that endpoint."
] | 1,699 | 1,699 | 1,699 | CONTRIBUTOR | null | # What does this PR do?
Remove an unexpected argument `activation` which shouldn't be passed to FlaxResNetBasicLayerCollection.
Fixes #27257
## 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 guidel... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thanks for your reviews here! merging! ",
"This was very helpful. Thanks!"
] | 1,699 | 1,706 | 1,699 | COLLABORATOR | null | # What does this PR do?
This PR aims to fix batching with Bark:
> Currently, when several samples are transmitted to Bark at the same time, i.e. during batch generation, the generated audios all have the same duration, which extends the length of the shortest audios to the longest audio in the batch.
> This prob... | {
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https://api.github.com/repos/huggingface/transformers/issues/27270 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27270/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27270/comments | https://api.github.com/repos/huggingface/transformers/issues/27270/events | https://github.com/huggingface/transformers/pull/27270 | 1,976,393,220 | PR_kwDOCUB6oc5ejC3I | 27,270 | Generate: add DeepMind's Speculative sampling in assisted_generation | {
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"cc @gante ",
"Hey @domgri 👋 \r\n\r\nThank you for opening the PR! Let me know when you'd like a review 💪 ",
"Sure, absolutely. Sorry for not responding sooner, got some unexpected workload, hope to comeback to finish implementation in a week🤞",
"Hey, so I gave a couple of tries to finish implementation, a... | 1,699 | 1,700 | 1,700 | NONE | null | # What does this PR do?
Implements #27186. Still a draft, work in progress.
Implementation inspired from original [paper](https://arxiv.org/abs/2302.01318) and these[[1](https://github.com/feifeibear/LLMSpeculativeSampling/tree/main)][[2](https://github.com/jaymody/speculative-sampling)] existing implementations.... | {
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https://api.github.com/repos/huggingface/transformers/issues/27269 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27269/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27269/comments | https://api.github.com/repos/huggingface/transformers/issues/27269/events | https://github.com/huggingface/transformers/pull/27269 | 1,976,295,430 | PR_kwDOCUB6oc5eiui8 | 27,269 | translate autoclass_tutorial to chinese | {
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"@stevhliu\r\n\r\nhi, here is another pr. I will fix merge conflict later.\r\n\r\nBesides, I think final insturction of `AutoModelForTokenClassification` and `TFAutoModelForSequenceClassification` is a bit repetitive. I think it's better to reduce some introduction and just show differences.\r\n\r\nBest",
"The d... | 1,699 | 1,699 | 1,699 | CONTRIBUTOR | null | # What does this PR do?
Part of #26803
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md#start-contributing-pull-reques... | {
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https://api.github.com/repos/huggingface/transformers/issues/27268 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27268/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27268/comments | https://api.github.com/repos/huggingface/transformers/issues/27268/events | https://github.com/huggingface/transformers/pull/27268 | 1,976,289,238 | PR_kwDOCUB6oc5eitMQ | 27,268 | [`Docs` / `SAM` ] Reflect correct changes to run inference without OOM | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_27268). All of your documentation changes will be reflected on that endpoint."
] | 1,699 | 1,699 | 1,699 | CONTRIBUTOR | null | # What does this PR do?
Fixes https://github.com/huggingface/transformers/issues/27266
One needs to always wrap the model forward pass to avoid OOM issues for SAM forward pass. In the orignal modeling code they force-use `torch.no_grad()` context manager in the forward pass: https://github.com/facebookresearch/se... | {
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"cc @gante @ArthurZucker ",
"I also would like to get your advise here -\r\n\r\nThe CI \"repository consistency\" fails because this PR upgrades RoPE implementation. However, some models copied RoPE from Llama and marked the functions as copied (example: https://github.com/huggingface/transformers/blob/main/src/t... | 1,699 | 1,700 | 1,699 | NONE | null | # What does this PR do?
This PR enables partial RoPE that can be applied to Llama variants / siblings.
It's discussed that only applying a half of positional encodings could lead to slight improvements on model performance. Example: https://github.com/lucidrains/x-transformers/issues/40
## Before submitting
-... | {
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"Hi @rb-synth, thanks for raising this issue! \r\n\r\nInteresting - looking at the [checkpoint on the hub](https://huggingface.co/facebook/sam-vit-huge/tree/main), the weights for `sam-vit-huge` are 2.56 GB so should fit into 24GB memory. \r\n\r\nRunning the script on an NVIDIA A10G, I'm able to load the model onto... | 1,699 | 1,699 | 1,699 | NONE | null | ### System Info
- `transformers` version: 4.35.0
- Platform: Linux-5.15.0-1043-aws-x86_64-with-glibc2.31
- Python version: 3.10.13
- Huggingface_hub version: 0.17.3
- Safetensors version: 0.4.0
- Accelerate version: not installed
- Accelerate config: not found
- PyTorch version (GPU?): 2.1.0+cu121 (True)
- Ten... | {
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https://api.github.com/repos/huggingface/transformers/issues/27265 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27265/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27265/comments | https://api.github.com/repos/huggingface/transformers/issues/27265/events | https://github.com/huggingface/transformers/pull/27265 | 1,975,937,027 | PR_kwDOCUB6oc5ehe2a | 27,265 | Generate: skip tests on unsupported models instead of passing | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,699 | 1,701 | 1,699 | MEMBER | null | # What does this PR do?
Skip tests on unsupported models instead of passing, as discussed in #25086
NOTE: I've skipped to whole test in the loop over different heads as soon as it encountered a problem because a) the reason for the skips in generate is always due to some core property of the architecture (AFAIK)... | {
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https://api.github.com/repos/huggingface/transformers/issues/27264 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27264/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27264/comments | https://api.github.com/repos/huggingface/transformers/issues/27264/events | https://github.com/huggingface/transformers/pull/27264 | 1,975,862,192 | PR_kwDOCUB6oc5ehOIN | 27,264 | Translate `en/model_doc` to JP | {
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"Sure\r\n\r\n> Hi, thanks for your PR and apologies for the delay! Several things:\r\n> \r\n> 1. There is some overlap in models (`albert.md` to `autoformer.md`) here with [Translating `en/model_doc` docs to Japanese. #27401](https://github.com/huggingface/transformers/pull/27401) so lets remove those from this PR.... | 1,699 | 1,701 | 1,701 | CONTRIBUTOR | null | # What does this PR do?
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Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
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https://api.github.com/repos/huggingface/transformers/issues/27263 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27263/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27263/comments | https://api.github.com/repos/huggingface/transformers/issues/27263/events | https://github.com/huggingface/transformers/issues/27263 | 1,975,788,574 | I_kwDOCUB6oc51xCQe | 27,263 | Huggingface Models doesnt save back to valid LLama weights | {
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"Hey @kiamesdavies, I see two potential issues in your approach:\r\n- You're using `AutoModel`, which automatically discards the LM head. Given you're using the model for text generation, you really shouldn't discard the LM head. Please use `AutoModelForCausalLM` instead.\r\n- Why are you using `torch.save(model.st... | 1,699 | 1,702 | 1,702 | NONE | null | ### System Info
- `transformers` version: 4.35.0
- Platform: Linux-5.15.0-84-generic-x86_64-with-glibc2.31
- Python version: 3.10.11
- Huggingface_hub version: 0.17.3
- Safetensors version: 0.4.0
- Accelerate version: 0.24.1
- Accelerate config: not found
- PyTorch version (GPU?): 2.1.0+cu121 (True)
- Tenso... | {
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https://api.github.com/repos/huggingface/transformers/issues/27262 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27262/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27262/comments | https://api.github.com/repos/huggingface/transformers/issues/27262/events | https://github.com/huggingface/transformers/pull/27262 | 1,975,554,604 | PR_kwDOCUB6oc5egLdL | 27,262 | Avoid many failing tests in doctesting | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,698 | 1,699 | 1,699 | COLLABORATOR | null | # What does this PR do?
Avoid many failing tests in doctesting: currently, src/transformers/models/blip_2/modeling_blip_2.py and docs/source/en/tasks/idefics.md cause problem to other tests
With this PR: the failing list is much shorter
```
transformers.generation.configuration_utils.GenerationConfig.from_pretr... | {
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"Ooops, we just found that we are sending a PR from `main` branch.\r\n\r\nTo avoid any confusions we're closing this PR and creating a new one later."
] | 1,698 | 1,699 | 1,698 | NONE | null | # What does this PR do?
This PR enables partial RoPE that can be applied to Llama variants / siblings.
It's discussed that only applying a half of positional encodings could lead to slight improvements on model performance. Example: https://github.com/lucidrains/x-transformers/issues/40
## Before submitting
-... | {
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"cc @younesbelkada ",
"hi @changyeli \r\nCan you share the full traceback of the two errors you are getting?",
"Can you also share the content of the dataset? note only the `input_features` needs to be casted in float16 and not the entire entries on your dataset. Perhaps you can use `dataset.map(xxx, batched=Tr... | 1,698 | 1,705 | 1,705 | NONE | null | ### System Info
- `transformers` version: 4.35.0
- Platform: Linux-5.14.0-284.25.1.el9_2.x86_64-x86_64-with-glibc2.34
- Python version: 3.11.5
- Huggingface_hub version: 0.17.3
- Safetensors version: 0.4.0
- Accelerate version: 0.23.0
- Accelerate config: not found
- PyTorch version (GPU?): 2.1.0+cu121 (True)
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"The current test failure at `tests_pr_documentation_tests` is due to the incorrect repo_id and links, namely `NucleusAI/NucleusX-7B` and https://huggingface.co/NucleusAI/NucleusX-7B used in examples and model docs. These checkpoints are not released yet; we plan to release them soon.",
"cc: @sippycoder and also ... | 1,698 | 1,707 | null | NONE | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/27258 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27258/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27258/comments | https://api.github.com/repos/huggingface/transformers/issues/27258/events | https://github.com/huggingface/transformers/pull/27258 | 1,975,493,774 | PR_kwDOCUB6oc5ef-QN | 27,258 | [`PEFT` / `Tests` ] Fix peft integration failing tests | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,698 | 1,699 | 1,699 | CONTRIBUTOR | null | # What does this PR do?
As per title, this PR fixes issues with respect to failing PEFT tests.
Due to the safetensors format being the default format of saving models we need to adapt expected results from tests accordingly. Also added regression tests to make sure previous behaviour is preserved
Links to failin... | {
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https://api.github.com/repos/huggingface/transformers/issues/27257 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27257/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27257/comments | https://api.github.com/repos/huggingface/transformers/issues/27257/events | https://github.com/huggingface/transformers/issues/27257 | 1,975,485,946 | I_kwDOCUB6oc51v4X6 | 27,257 | An unexpected argument in the ResNet Flax implementation | {
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"Hi @pingzhili, thanks for raising this issue! \r\n\r\nIndeed, it seems that `activation` shouldn't be passed to FlaxResNetBasicLayerCollection [here](https://github.com/huggingface/transformers/blob/5964f820db1568d26298b37dea9db328185c7f7c/src/transformers/models/resnet/modeling_flax_resnet.py#L218C3-L218C3). Woul... | 1,698 | 1,699 | 1,699 | CONTRIBUTOR | null | ### System Info
The class `FlaxResNetBasicLayerCollection` does not expect the argument `activation`, but here passes it and would raise error:
https://github.com/huggingface/transformers/blob/8a312956fd49efd69adb98c40996719d4c276a01/src/transformers/models/resnet/modeling_flax_resnet.py#L215-L220
The definition... | {
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https://api.github.com/repos/huggingface/transformers/issues/27256 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27256/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27256/comments | https://api.github.com/repos/huggingface/transformers/issues/27256/events | https://github.com/huggingface/transformers/pull/27256 | 1,975,410,116 | PR_kwDOCUB6oc5efsTe | 27,256 | get default device through `PartialState().default_device` as it has been officially released | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_27256). All of your documentation changes will be reflected on that endpoint.",
"@muellerzr If we've had a deprecation notice for a few releases and it's available from the lowest version of accelerate officially supported ... | 1,698 | 1,707 | 1,706 | CONTRIBUTOR | null | # What does this PR do?
As per title.
The main branch is now at 4.38.dev0, so I submit this PR which is a continuation of (the merged) https://github.com/huggingface/transformers/pull/26774.
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the ca... | {
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"Hi @Carolinabanana , I answered here https://github.com/huggingface/transformers/pull/26997#issuecomment-1798846118 to another training script issue, can you check it it helps your case?",
"Hey did you get your script working? I'm trying to fine-tune Fuyu as well and would appreciate an example script.",
"Hey,... | 1,698 | 1,706 | 1,699 | NONE | null | ### System Info
transformers-4.36.0.dev0 (commit commit 552ff24488d4027590deded3b2b0d1716df341c3)
### Who can help?
@molbap
### 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 o... | {
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https://api.github.com/repos/huggingface/transformers/issues/27254 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27254/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27254/comments | https://api.github.com/repos/huggingface/transformers/issues/27254/events | https://github.com/huggingface/transformers/pull/27254 | 1,975,155,253 | PR_kwDOCUB6oc5ee0u6 | 27,254 | Refactor and Enhance Readability of Zero-Shot Distillation in Transformers | {
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"Hi @itsmenick212, thanks for opening this PR and contributing to improving the repo! \r\n\r\nThe research projects are [not maintained](https://github.com/huggingface/transformers/blob/8f1a43cd91cb22b65f1f840f6bca0e156e5e8495/examples/research_projects/README.md#L4) - as such we don't accept new PRs to update them... | 1,698 | 1,702 | 1,702 | NONE | null | # Description:
This pull request introduces a series of improvements to the HuggingFace Transformers library, specifically within the zero-shot distillation research project. The changes aim to enhance the code's readability, maintainability, and clarity through thoughtful refactoring and clear organization of datas... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thanks for the review @amyeroberts ! Any idea where I should add this test ? I don't think we want to test this for all our models but maybe just for one ? ",
"@SunMarc Agreed - just for one model should be enough. I'd suggest putt... | 1,698 | 1,700 | 1,700 | MEMBER | null | # What does this PR
This PR fixes #27199. It was not possible load weights from a derived model into the base model when we are offloading parameters to the disk + safetensors. The issue was that we were not able to create the right `offload_index` because the weights didn't match.
Example :
```py
from trans... | {
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"Hi @julija1, what language are you wanting to kickstart the community translations for? "
] | 1,698 | 1,698 | null | NONE | null | <!--
Note: Please search to see if an issue already exists for the language you are trying to translate.
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Hi!
Let's bring the documentation to all the <languageName>-speaking community 🌐 (currently 0 out of 267 complete)
Who would want to translate? Please follow the 🤗 [TRANSLATING guide](https://github.com/hug... | {
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"Another fun example \r\n\r\nDecoding each question one at a time\r\n```python\r\nprompt = \"Question: {} Answer:\"\r\n\r\ninputs = processor(raw_image, prompt.format(question1), return_tensors = 'pt')\r\nout = model.generate(**inputs)\r\n\r\nprint(processor.tokenizer.decode(out[0], skip_special_tokens = True).stri... | 1,698 | 1,702 | 1,702 | NONE | null | ### System Info
- `transformers` version: 4.34.1
- Platform: Linux-6.2.0-35-generic-x86_64-with-glibc2.37
- Python version: 3.10.13
- Huggingface_hub version: 0.17.3
- Safetensors version: 0.4.0
- Accelerate version: 0.24.0
- Accelerate config: - compute_environment: LOCAL_MACHINE
- distributed_type: MULTI_... | {
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https://api.github.com/repos/huggingface/transformers/issues/27250 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27250/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27250/comments | https://api.github.com/repos/huggingface/transformers/issues/27250/events | https://github.com/huggingface/transformers/pull/27250 | 1,974,813,378 | PR_kwDOCUB6oc5edp7r | 27,250 | Update the ConversationalPipeline docstring for chat templates | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,698 | 1,699 | 1,699 | MEMBER | null | The `ConversationalPipeline` docstring was a bit out of date - this updates it for the chat template era! | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"> as the floating values being used to divide the image are now set to 0.\r\n\r\ncould you explain this a bit more?",
">> as the floating values being used to divide the image are now set to 0.\r\n\r\n> could you explain this a bit... | 1,698 | 1,699 | 1,699 | COLLABORATOR | null | # What does this PR do?
This is done if the input image isn't of floating type. Issues can occur when `do_rescale=False` is set in an image processor. When this happens, the image passed to the call is of type uint8 because of the type casting that happens in `resize` because of the PIL image library. As the mean an... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,698 | 1,698 | 1,698 | MEMBER | null | Fuyu was under the wrong protection, this updates it. | {
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"@rafaelpadilla Nice work! Excited to get this model added to the library 💪 \r\n\r\nI'm removing the review request for Arthur, as you only need one core maintainer's approval. @NielsRogge if you have time, could you give this a quick review once tests are all passing? It would be good to get your thoughts especia... | 1,698 | 1,706 | null | CONTRIBUTOR | null | # What does this PR do?
Adds new model RTDetr.
Image processing:
- [x] preprocess
- [x] post_process
- [x] post_process_object_detection
Tests:
- [x] image processing: test_image_processor_outputs
- [x] image processing: test_multiple_images_processor_outputs
- [x] model: logits and boxes match the or... | {
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"@stevhliu\r\n\r\nhi,\r\n\r\nhere is another PR of run_scripts.md, and I will fix merge conflict later.\r\n\r\nBest",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_27246). All of your documentation changes will be reflected on that endpoint.",
"@stevhliu \r\n\r\nrevi... | 1,698 | 1,699 | 1,699 | CONTRIBUTOR | null | # What does this PR do?
Part of #26803
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md#start-contributing-pull-reques... | {
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"Hi @wlmnzf, thanks for raising this issue! \r\n\r\nIt looks like the might be an issue with the installation of transformers in your environment. Please note that the lowest supported version of python is 3.8. I would suggest first try upgrading your python version and then reinstalling transformers. ",
"@amyero... | 1,698 | 1,702 | 1,702 | NONE | null | ### System Info
I follow the page(https://huggingface.co/docs/transformers/model_doc/pegasus_x) to try to use the PegasusXForConditionalGeneration.
But when I import the package ```from transformers import AutoTokenizer, PegasusXForConditionalGeneration```, it goes wrong.
### Who can help?
_No response_
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