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https://api.github.com/repos/huggingface/transformers/issues/27950 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27950/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27950/comments | https://api.github.com/repos/huggingface/transformers/issues/27950/events | https://github.com/huggingface/transformers/pull/27950 | 2,035,788,688 | PR_kwDOCUB6oc5hsDNQ | 27,950 | [`Awq`] Enable the possibility to skip quantization for some target modules | {
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"This PR enables compatiblity with Mixtral AWQ ! \r\nhttps://github.com/casper-hans... | 1,702 | 1,703 | 1,703 | CONTRIBUTOR | null | # What does this PR do?
Adds the possibility to load AWQ models if some modules of the model are skipped for quantization.
E.g. for whisper, Llava, Mixtral, we respectively don't want to quantize the encoder, vision encoder and the gate layer to ensure inference stability.
Let's merge it once AWQ makes the 0.1... | {
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] | 1,702 | 1,703 | 1,702 | CONTRIBUTOR | null | # What does this PR do?
This is a minor cosmetic change in the error message when invoking the tokenizer:
"text input must of type" -> "text input must be of type"
## 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 ... | {
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"Actually will compute on GPU!"
] | 1,702 | 1,702 | 1,702 | COLLABORATOR | null | # What does this PR do?
Fixes
```python
load_balancing_loss_func
gate_logits = torch.cat(gate_logits, dim=0)
RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:3 and cuda:7! (when checking argument for argument tensors in method wrapper_cat)
gate_logits = t... | {
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The new test added in https://github.com/huggingface/transformers/pull/27568 doesn't account for multi-GPU, when the `bs` is multiplied by `n_gpu` for the effective train batch size. This PR modifies the test slightly as a result to work on any number of GPUs (and CPU)
Fixes # (issue)
F... | {
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Currently, if you do have Accelerate installed, but you don't have the `min_version` specified [here](https://github.com/huggingface/transformers/blob/56be5e80e6cd5264012eb9ea84bd589233a503d9/src/transformers/utils/import_utils.py#L671), you will get a message saying Accelerate is not install... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_27945). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | 1,702 | 1,702 | 1,702 | 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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] | 1,702 | 1,702 | 1,702 | CONTRIBUTOR | null | # What does this PR do?
This PR fixes an issue pointed out by https://discuss.huggingface.co/t/owl-vit-postprocess-api-bbox-conversion/65309/2, namely we state that we postprocess to the COCO API, but effectively we're using the Pascal VOC format.
A [very nice blog post](https://albumentations.ai/docs/getting_sta... | {
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"@kashif ",
"thanks! @amyeroberts \r\n"
] | 1,702 | 1,702 | 1,702 | CONTRIBUTOR | null | Fix PatchTSMixer Docstring indentation issues. | {
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"Are there any other aux losses apart from the LM loss?",
"The auxiliary loss can be computed with `output_router_logits = True` automatically, other losses like `z_loss` can be imported from Switch transformers modeling code! Custom losses should be able to use the router_logits returned by the model"
] | 1,702 | 1,702 | 1,702 | COLLABORATOR | null | # What does this PR do?
Adds the latest MoE model from mistral AI | {
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"Hi @R-N, \r\n\r\nThanks for raising this issue! The link should now work as v4.36 has been released. ",
"> Hi @R-N,\r\n> \r\n> Thanks for raising this issue! The link should now work as v4.36 has been released.\r\n\r\nConfirmed, it works now. Thank you"
] | 1,702 | 1,702 | 1,702 | NONE | null | ### System Info
Windows 11 64 bit 21h2
Google chrome latest
### Who can help?
@stevhliu
### 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 (... | {
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On torch==2.0.1, these do pass
```
RUN_SLOW=1 pytest tests/models/bart -s -vvvvv -k "torchscript"
RUN_SLOW=1 pytest tests/models/llama -s -vvvvv -k "torchscript"
RUN_SLOW=1 pytest tests/models/whisper -s -vvvvv -k "torchscript"
RUN_SLOW=1 CUDA_VISIBLE_DEVICES=0 pytest tests/models/bert -s -vvvvv
... | {
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https://api.github.com/repos/huggingface/transformers/issues/27939 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27939/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27939/comments | https://api.github.com/repos/huggingface/transformers/issues/27939/events | https://github.com/huggingface/transformers/pull/27939 | 2,034,958,797 | PR_kwDOCUB6oc5hpLtK | 27,939 | fix cpm-ant tokenizer name | {
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After comparison, I found that the names in the config file on HuggingFace and in the transformers library are inconsistent
Fixes #27938
@ArthurZucker @zh-zheng
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https://api.github.com/repos/huggingface/transformers/issues/27938 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27938/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27938/comments | https://api.github.com/repos/huggingface/transformers/issues/27938/events | https://github.com/huggingface/transformers/issues/27938 | 2,034,954,335 | I_kwDOCUB6oc55SvBf | 27,938 | ValueError: Tokenizer class CPMAntTokenizer does not exist or is not currently imported. | {
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"```python\r\nfrom transformers import CpmAntTokenizer\r\n```\r\n\r\nis what you are looking for",
"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 t... | 1,702 | 1,704 | 1,704 | NONE | null | ### System Info
transformers==4.35.2
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [X] My own task or dataset (give details below)
### Reproduction... | {
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https://api.github.com/repos/huggingface/transformers/issues/27937 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27937/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27937/comments | https://api.github.com/repos/huggingface/transformers/issues/27937/events | https://github.com/huggingface/transformers/issues/27937 | 2,034,800,258 | I_kwDOCUB6oc55SJaC | 27,937 | Whisper Large-v3 has problems with language detection | {
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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... | 1,702 | 1,707 | 1,707 | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.35.2
- Platform: Linux-5.15.0-89-generic-x86_64-with-glibc2.35
- Python version: 3.10.13
- Huggingface_hub version: 0.16.4
- Safetensors version: 0.3.1
- Accelerate version: 0.22.0
- Accelerate config: not found
- PyTorch version (GPU?): 2.0.1 (True)
- Tensorflow ... | {
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https://api.github.com/repos/huggingface/transformers/issues/27936 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27936/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27936/comments | https://api.github.com/repos/huggingface/transformers/issues/27936/events | https://github.com/huggingface/transformers/issues/27936 | 2,034,584,228 | I_kwDOCUB6oc55RUqk | 27,936 | Problems importing LlavaForConditionalGeneration | {
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"Hey! 👋 llava is no part of the latest release! You need to install from source or wait until tomorrow! 🤗",
"ok, thank you for your reply"
] | 1,702 | 1,702 | 1,702 | NONE | null | ### System Info
transformers version: 4.35.2
Platform: Linux-5.10.0-26-cloud-amd64-x86_64-with-glibc2.31
Python version: 3.9.2
Huggingface_hub version: 0.19.4
Safetensors version: 0.4.1
Accelerate version: 0.25.0
PyTorch version (GPU?): 2.1.1+cu121 (True)
### Who can help?
_No response_
### Information
- [... | {
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https://api.github.com/repos/huggingface/transformers/issues/27935 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27935/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27935/comments | https://api.github.com/repos/huggingface/transformers/issues/27935/events | https://github.com/huggingface/transformers/pull/27935 | 2,034,508,529 | PR_kwDOCUB6oc5hnrHn | 27,935 | Fix tensor-parallelism link | {
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"Can you run `make style`? ",
"running `make style` makes no changes, do you have any ideas on what to change?",
"Make sure you have `ruff==0.1.5` 🤗 and that you rebased on main! ",
"Okay, I have already `ruff=0.1.5` and rebased it, am I doing anything wrong here? 😅\r\n\r\n.
## Who can review?
@stevhliu
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This PR fixes the failing test_forward_signature test for `BeitBackbone`. | {
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"please migrate to pydantic v2 🤗",
"Please do this!",
"Hi @lmmx, thanks for raising this! \r\n\r\nWe can certainly think about having v2 with v1 fallback support. However, I suspect the previous difficulty being raised was that it's hard to manage fallbacks when there's an incompatibility with a third-party li... | 1,702 | 1,706 | 1,706 | NONE | null | ### Feature request
Pydantic v2 was released five months ago in June 2023.
Transformers has pinned to v1 (#24596), which should only be used as a temporary solution.
Leaving it this way means that the many new features of Pydantic 2 are missed, and leaves little hope for the library to keep pace as a roadmap t... | {
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https://api.github.com/repos/huggingface/transformers/issues/27932 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27932/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27932/comments | https://api.github.com/repos/huggingface/transformers/issues/27932/events | https://github.com/huggingface/transformers/pull/27932 | 2,034,339,234 | PR_kwDOCUB6oc5hnJXa | 27,932 | Adds VIP-llava to transformers | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_27932). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | 1,702 | 1,702 | 1,702 | CONTRIBUTOR | null | # What does this PR do?
VIP-llava is a new Llava variant. It seems the only difference between Llava and VIP-Llava is that VIP-llava uses a projector layernorm before passing the hidden states into the MM projector. It also concatenates many hidden states from the image encoder before passing it to the multi-modal p... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_27931). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"If I understand correctly, this PR should close the existing gap between inference... | 1,702 | 1,707 | 1,707 | COLLABORATOR | null | # ~4x speedups with cuda graphs! 🥳
Currently getting ~4x speedups compare to dynamic cache with torch.compile for a single forward pass (agnostic to batch but faster for smaller batch)
Forward is very very very fast, but materializing the input costs a bit!
~10ms / forward is what we get to!
- [x] Refact... | {
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https://api.github.com/repos/huggingface/transformers/issues/27930 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27930/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27930/comments | https://api.github.com/repos/huggingface/transformers/issues/27930/events | https://github.com/huggingface/transformers/issues/27930 | 2,034,262,567 | I_kwDOCUB6oc55QGIn | 27,930 | An error when creating test_dataloader in Time series transformer | {
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"Hey! Could you make sure you provide a reproducer, isolating the bug? We can't really debug your code in your stead 🤗 ",
"Thanks to your quick reply! Here are my detailed codes related to the bug.\r\n\r\n```python\r\nfrom transformers import TimeSeriesTransformerConfig, TimeSeriesTransformerForPrediction\r\n\r\... | 1,702 | 1,702 | 1,702 | NONE | null | ### System Info
I am running a time series transformer following the tutorial in Huggingface.
I have dynamic_features_real = 48 in my dataset. However, I came across an error when creating the test_dataloader:
```python
ValueError: all the input array dimensions except for the concatenation axis must match exact... | {
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"Test failures are for \"documentation\" and \"transformers metadata\", same as last time (https://github.com/huggingface/transformers/pull/27820#issuecomment-1841186551)",
"> have you confirmed this works on a multi-GPU system?\r\n\r\nYes, that's detailed in the PR description, starting with the sentence: \"I di... | 1,702 | 1,702 | 1,702 | CONTRIBUTOR | null | # What does this PR do?
Follow-up to https://github.com/huggingface/transformers/pull/27820 which is bugged for multi-device/multiprocess training. I made the error of thinking that in multiprocess training the `._save_checkpoint()` method was already restricted to a single writer.
I've fixed that now and augment... | {
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https://api.github.com/repos/huggingface/transformers/issues/27928 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27928/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27928/comments | https://api.github.com/repos/huggingface/transformers/issues/27928/events | https://github.com/huggingface/transformers/issues/27928 | 2,034,199,269 | I_kwDOCUB6oc55P2rl | 27,928 | [Question] What is the main difference between "AutoModelForCasualLM" and "PeftModelForCausalLM"? | {
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"cc @younesbelkada ",
"Hmm looks interesting. I think, when you print it out, first thing is considering original+ adapter and last thing is considering only structure of it’s backbone. \r\nDid you considered a random state, before inference?\r\n\r\nSometimes, same input’s result can be different when you inferen... | 1,702 | 1,706 | 1,706 | NONE | null | I also wrote it down in peft repo. However this issue is also related to transformers. So i write my question here again.
issue is here in peft(https://github.com/huggingface/peft/issues/1245)
Hello, Sorry for naive question.
I noticed that the``model.generate()`` function performed differently when inferrence rig... | {
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https://api.github.com/repos/huggingface/transformers/issues/27927 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27927/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27927/comments | https://api.github.com/repos/huggingface/transformers/issues/27927/events | https://github.com/huggingface/transformers/issues/27927 | 2,034,137,763 | I_kwDOCUB6oc55Pnqj | 27,927 | Terminate TextIteratorStreamer Before Done | {
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"Hey! I don't think this is possible through the TextIteratorStreamer but should be handled within gradio 🤗 ",
"Ok, thanks for the suggestion! I'll close this issue then"
] | 1,702 | 1,702 | 1,702 | NONE | null | Hi,
Is there any way to terminate a TextIteratorStreamer before the text has finished generating? Related to [this](https://github.com/gradio-app/gradio/issues/6724).
Thank you! | {
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https://api.github.com/repos/huggingface/transformers/issues/27925 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27925/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27925/comments | https://api.github.com/repos/huggingface/transformers/issues/27925/events | https://github.com/huggingface/transformers/issues/27925 | 2,033,911,870 | I_kwDOCUB6oc55Owg- | 27,925 | Save model checkpoint error when multi-gpu training | {
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"I had this same issue, I temporarily fixed it by neutering the different staging directory:\r\n\r\n```python\r\nif os.path.exists(output_dir) and len(os.listdir(output_dir)) > 0:\r\n logger.warning(\r\n f\"Checkpoint destination directory {output_dir} already exists and is non-empty.\"\r\n \"Savin... | 1,702 | 1,705 | 1,702 | NONE | null | ### System Info
- `transformers` version: 4.36.0.dev0
- Platform: Linux-6.2.0-1017-azure-x86_64-with-glibc2.35
- Python version: 3.10.13
- Huggingface_hub version: 0.19.4
- Safetensors version: 0.4.0
- 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/27924 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27924/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27924/comments | https://api.github.com/repos/huggingface/transformers/issues/27924/events | https://github.com/huggingface/transformers/pull/27924 | 2,033,894,083 | PR_kwDOCUB6oc5hltZg | 27,924 | Adding FA2 support for MusicGen | {
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"Hey @staghado, thanks for taking care of this, let us know when it's ready to be reviewed!",
"I have conducted some tests on an A10 GPU : \r\n - The code seems to work without errors when `_supports_flash_attn_2` is set to `True` for `MusicgenForConditionalGeneration` but does not load the model with FA2 if n... | 1,702 | 1,708 | null | CONTRIBUTOR | null | # What does this PR do?
This PR adds Flash Attention 2 support for MusicGen model. It is based on Bart example and it is a WIP for now.
I could not test the model because FA2 is not supported yet for T4 GPUs.
Fixes #27552
@sanchit-gandhi @ylacombe | {
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https://api.github.com/repos/huggingface/transformers/issues/27926 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27926/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27926/comments | https://api.github.com/repos/huggingface/transformers/issues/27926/events | https://github.com/huggingface/transformers/issues/27926 | 2,033,979,191 | I_kwDOCUB6oc55PA83 | 27,926 | Can't get add_generation_prompt to work correctly in apply_chat_template | {
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"cc @Rocketknight1 if you have time to look at this! ",
"I'm using `transformers==4.34.0`",
"Upgrading to 4.35.2 fixed this issue for me. Closing."
] | 1,702 | 1,702 | 1,702 | CONTRIBUTOR | null | I'm having trouble getting the `add_generation_prompt` feature working with `tokenizer.apply_chat_template`. I'm working with stablelm-zephyr-3b right now. I raised an issue on their HF model page, but I don't think the problem is with their chat template. Their chat template looks correct.
https://huggingface.co/st... | {
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https://api.github.com/repos/huggingface/transformers/issues/27923 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27923/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27923/comments | https://api.github.com/repos/huggingface/transformers/issues/27923/events | https://github.com/huggingface/transformers/issues/27923 | 2,033,804,530 | I_kwDOCUB6oc55OWTy | 27,923 | SafetensorError: Error while deserializing header: HeaderTooLarge | {
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"Hey, could you try to use the latest release of safetensors? \r\nOtherwise not sure I can help you with a checkpoint that is private ! ",
"Hello, Sir. \r\nI met this error when loading the 6th checkpoint, so I re-downloaded the sixth safetensors file. But still the same error. Should I try to re- download all of... | 1,702 | 1,702 | 1,702 | NONE | null | ### System Info
transformers version: 4.35.0
Platform: Linux-4.18.0-477.27.1.el8_8.x86_64.x86_64-x86_64-with-glibc2.28
Python version: 3.9.16
Huggingface_hub version:0.16.4
Accelerate version: 0.21.0
Safetensors version: 0.3.1
PyTorch version (GPU?): 22.0.1+cu117 (True)
### Who can help?
@ArthurZucker... | {
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https://api.github.com/repos/huggingface/transformers/issues/27922 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27922/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27922/comments | https://api.github.com/repos/huggingface/transformers/issues/27922/events | https://github.com/huggingface/transformers/issues/27922 | 2,033,681,878 | I_kwDOCUB6oc55N4XW | 27,922 | add system prompt option in .apply_chat_template() | {
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"Hey, I think it already supports this! see [here](https://huggingface.co/docs/transformers/chat_templating) (you just need to customize the roles) ",
"Got it, i missed that.",
"There is a big problem here. Some of these models reject the system prompt in their chat template. It's wildly inconsistent and ther... | 1,702 | 1,704 | 1,703 | NONE | null | ### Feature request
Currently, I cannot find the option of adding a system prompt while doing tokenizer.apply_chat_template().
### Motivation
Because of this I have to avoid using apply_chat_template
### Your contribution
we can add this in {'role':'system'..........} | {
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https://api.github.com/repos/huggingface/transformers/issues/27921 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27921/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27921/comments | https://api.github.com/repos/huggingface/transformers/issues/27921/events | https://github.com/huggingface/transformers/pull/27921 | 2,033,645,816 | PR_kwDOCUB6oc5hk5mU | 27,921 | Add LayoutLM processor | {
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"The tests are failing because when I copy LayoutLMv2Tokenizer to LayoutLMTokenizer, `bbox` input is required. To preserve backward-compatibility, we need to check if `bbox` is None, and apply the old logic in that case. I'm not familiar with the tokenizer code, so help would be appreciated 🙏.",
"(feel free to p... | 1,702 | 1,707 | 1,707 | CONTRIBUTOR | null | # What does this PR do?
<!--
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https://api.github.com/repos/huggingface/transformers/issues/27920 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27920/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27920/comments | https://api.github.com/repos/huggingface/transformers/issues/27920/events | https://github.com/huggingface/transformers/pull/27920 | 2,033,635,445 | PR_kwDOCUB6oc5hk3VO | 27,920 | fixed typos (issue 27919) | {
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https://api.github.com/repos/huggingface/transformers/issues/27919 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27919/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27919/comments | https://api.github.com/repos/huggingface/transformers/issues/27919/events | https://github.com/huggingface/transformers/issues/27919 | 2,033,624,429 | I_kwDOCUB6oc55NqVt | 27,919 | Typos with Knowledge Distillation for Computer Vision documentation | {
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- `transformers` version: 4.35.2
- Platform: Linux-5.15.133.1-microsoft-standard-WSL2-x86_64-with-glibc2.29
- Python version: 3.8.10
- Huggingface_hub version: 0.19.4
- Safetensors version: 0.4.1
- Accelerate version: 0.25.0
- Accelerate config: not found
- PyTorch version (GPU?): 1.12.0+cu... | {
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https://api.github.com/repos/huggingface/transformers/issues/27918 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27918/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27918/comments | https://api.github.com/repos/huggingface/transformers/issues/27918/events | https://github.com/huggingface/transformers/pull/27918 | 2,033,540,619 | PR_kwDOCUB6oc5hkjQ5 | 27,918 | Fix typo | {
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"thanks"
] | 1,702 | 1,702 | 1,702 | 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/27917 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27917/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27917/comments | https://api.github.com/repos/huggingface/transformers/issues/27917/events | https://github.com/huggingface/transformers/issues/27917 | 2,033,530,579 | I_kwDOCUB6oc55NTbT | 27,917 | LLava not working with accelerate dispatch: "Expected all tensors to be on the same device" | {
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"cc @younesbelkada I think this worked / works on main no? \r\n\r\nFYI @gante and @tomaarsen we'll work on a fix with @younesbelkada "
] | 1,702 | 1,702 | 1,702 | NONE | null | ### System Info
- `transformers` version: 4.36.0.dev0
- Platform: Linux-5.10.0-26-cloud-amd64-x86_64-with-glibc2.31
- Python version: 3.9.2
- Huggingface_hub version: 0.19.4
- Safetensors version: 0.4.1
- Accelerate version: 0.25.0
- PyTorch version (GPU?): 2.1.1+cu121 (True)
### Who can help?
@pacman... | {
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https://api.github.com/repos/huggingface/transformers/issues/27916 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27916/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27916/comments | https://api.github.com/repos/huggingface/transformers/issues/27916/events | https://github.com/huggingface/transformers/issues/27916 | 2,033,389,088 | I_kwDOCUB6oc55Mw4g | 27,916 | Question about the output of the decision transformer | {
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"Hey 🤗 thanks for opening an issue! We try to keep the github issues for bugs/feature requests.\r\nCould you ask your question on the [forum](https://discuss.huggingface.co/) instead? I'm sure the community will be of help!\r\n\r\nThanks!",
"Thank you. I have created a post here: https://discuss.huggingface.co/... | 1,702 | 1,703 | 1,703 | NONE | null | From the code in here: https://github.com/huggingface/transformers/blob/v4.35.2/src/transformers/models/decision_transformer/modeling_decision_transformer.py#L920-L927
```
# reshape x so that the second dimension corresponds to the original
# returns (0), states (1), or actions (2); i.e. x[:,1,... | {
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https://api.github.com/repos/huggingface/transformers/issues/27915 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27915/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27915/comments | https://api.github.com/repos/huggingface/transformers/issues/27915/events | https://github.com/huggingface/transformers/issues/27915 | 2,033,135,988 | I_kwDOCUB6oc55LzF0 | 27,915 | dMoE support | {
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"I've been using a quick drop-in replacement lifted from the dmoe.py implementation from megablocks.\r\n\r\nRunning `torch.cat` for the expert weights on each forward pass adds a ~5% overhead, since I didn't want to deal with managing the state dicts. Overall training is 2-3x faster.\r\n\r\n```python\r\nclass Mixtr... | 1,702 | 1,703 | null | CONTRIBUTOR | null | ### Feature request
MistralAI recently [released their new model](https://twitter.com/MistralAI/status/1733150512395038967), a Mixture of Experts based on [megablocks](https://github.com/stanford-futuredata/megablocks), a type of dropless Mixture of Experts.
### Motivation
It's very likely that the future of open so... | {
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https://api.github.com/repos/huggingface/transformers/issues/27914 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27914/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27914/comments | https://api.github.com/repos/huggingface/transformers/issues/27914/events | https://github.com/huggingface/transformers/pull/27914 | 2,032,919,310 | PR_kwDOCUB6oc5hibuH | 27,914 | Fix: [SeamlessM4T - S2TT] Bug in batch loading of audio in torch.Tensor format in the SeamlessM4TFeatureExtractor class | {
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"Awesome @nicholasneo78!",
"cc @ylacombe ",
"Hi @ylacombe,\r\n\r\nYes this works for me. Have updated the code `feature_extraction_seamless_m4t.py` and added test in `test_feature_extraction_seamless_m4t.py`\r\n\r\nThanks for the suggestion!",
"The docs for this PR live [here](https://moon-ci-docs.huggingface... | 1,702 | 1,703 | 1,703 | 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.
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https://api.github.com/repos/huggingface/transformers/issues/27913 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27913/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27913/comments | https://api.github.com/repos/huggingface/transformers/issues/27913/events | https://github.com/huggingface/transformers/pull/27913 | 2,032,904,981 | PR_kwDOCUB6oc5hiYby | 27,913 | Fixing Value error question_answering.py | {
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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... | 1,702 | 1,705 | 1,705 | NONE | null | On running this pipeline, the value error is always raised even if a dict/SquadExample is passed as there was no 'else' condition. Now it will only be raised when input is not dict/SquadExample.
# What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/27912 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27912/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27912/comments | https://api.github.com/repos/huggingface/transformers/issues/27912/events | https://github.com/huggingface/transformers/pull/27912 | 2,032,860,518 | PR_kwDOCUB6oc5hiOtH | 27,912 | Skip `UnivNetModelTest::test_multi_gpu_data_parallel_forward` | {
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`test_multi_gpu_data_parallel_forward` is known to fail, and it uses `nn.DataParallel` which is not recommended by pyttorch.
Let's skip it for now. | {
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https://api.github.com/repos/huggingface/transformers/issues/27911 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27911/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27911/comments | https://api.github.com/repos/huggingface/transformers/issues/27911/events | https://github.com/huggingface/transformers/pull/27911 | 2,032,822,044 | PR_kwDOCUB6oc5hiGTN | 27,911 | Fix M4T v2 integration tests | {
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"OC, I've already verified that the tests pass (on a 24GB TITAN RTX)! I've also monitored by hand GPU utilization (around 10GB) so I believe it should pass on a 16GB GPU.\r\n\r\nFYI, the tests that I've changed verify that every task-specific model has a 1-to-1 correspondence with the task-agnostic model"
] | 1,702 | 1,702 | 1,702 | COLLABORATOR | null | # What does this PR do?
Some M4T-v2 integration tests are [causing GPUs OOM](https://github.com/huggingface/transformers/actions/runs/7054968060/job/19204890066). It happens when we load two models together. I thus shifted some integration tests to half precision which should solve the issue.
cc @ydshieh @ArthurZ... | {
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https://api.github.com/repos/huggingface/transformers/issues/27910 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27910/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27910/comments | https://api.github.com/repos/huggingface/transformers/issues/27910/events | https://github.com/huggingface/transformers/pull/27910 | 2,032,739,953 | PR_kwDOCUB6oc5hh0DZ | 27,910 | Llama conversion script: adjustments for Llama Guard | {
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Small adjustments to the Llama 2 conversion script so it works with the original Llama Guard weights.
## 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.... | {
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https://api.github.com/repos/huggingface/transformers/issues/27909 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27909/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27909/comments | https://api.github.com/repos/huggingface/transformers/issues/27909/events | https://github.com/huggingface/transformers/pull/27909 | 2,032,734,928 | PR_kwDOCUB6oc5hhy59 | 27,909 | fix llava | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_27909). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | 1,702 | 1,702 | 1,702 | COLLABORATOR | null | # What does this PR do?
Fix the prepare inputs for generationa after the cache PR. | {
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https://api.github.com/repos/huggingface/transformers/issues/27908 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27908/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27908/comments | https://api.github.com/repos/huggingface/transformers/issues/27908/events | https://github.com/huggingface/transformers/issues/27908 | 2,032,726,259 | I_kwDOCUB6oc55KPDz | 27,908 | Mistral: CUDA error when generating text with a batch of inputs | {
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"Hey, you added a new token, this you need to resize the token embedding layer of the model with `model.resize_token_embeddings(len(tokenizer))`",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.... | 1,702 | 1,705 | 1,705 | NONE | null | ### System Info
I'm trying to decode a batch of outputs from a batch of inputs, with code that is working correctly with any encoder-decoder model (i.e. T5). I get the following error when I'm using Mistral:
` CUDA error: device-side assert triggered`
stack trace:
```python
File ~/miniconda3/lib/python3.11/site-... | {
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https://api.github.com/repos/huggingface/transformers/issues/27907 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27907/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27907/comments | https://api.github.com/repos/huggingface/transformers/issues/27907/events | https://github.com/huggingface/transformers/pull/27907 | 2,032,684,189 | PR_kwDOCUB6oc5hhnqy | 27,907 | Generate: SinkCache can handle iterative prompts | {
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"Some additional results @gante \r\n\r\n\r\n\r\n* `transformers_old` refers to before #27700 (thanks @kevinhu for the change!)\r\n* `transformers_56be5e80` refers to commit 56be5e80, i.e. near main\r\n* `transf... | 1,702 | 1,702 | 1,702 | MEMBER | null | # What does this PR do?
Fixes the case where `SinkCache` is used in a chat bot, receiving new prompts after giving an answer. Fix developed with @tomaarsen
Here's an example of a script that works after this PR:
```py
from transformers import AutoTokenizer, SinkCache, AutoModelForCausalLM, TextStreamer
import... | {
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https://api.github.com/repos/huggingface/transformers/issues/27906 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27906/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27906/comments | https://api.github.com/repos/huggingface/transformers/issues/27906/events | https://github.com/huggingface/transformers/pull/27906 | 2,032,423,360 | PR_kwDOCUB6oc5hgvQh | 27,906 | mark `test_initialization` as flaky in 2 model tests | {
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"For the record: below code shows the issue\r\n\r\n```python\r\nimport torch\r\n\r\nDIM = 32\r\nSTD = 1e-10\r\nB = 2\r\nN_ITER = 100\r\n\r\n\r\nfor _ in range(100):\r\n for pow in range(4, 15):\r\n m = 0\r\n seq_len = 2 ** pow\r\n for i in range(N_ITER):\r\n t = torch.zeros(size=(... | 1,702 | 1,702 | 1,702 | COLLABORATOR | null | # What does this PR do?
`torch.nn.init.trunc_normal_` is flaky and sometimes produce large value even if `mean=0.0` and `std=1e-10).
| {
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https://api.github.com/repos/huggingface/transformers/issues/27905 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27905/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27905/comments | https://api.github.com/repos/huggingface/transformers/issues/27905/events | https://github.com/huggingface/transformers/pull/27905 | 2,032,418,365 | PR_kwDOCUB6oc5hguKt | 27,905 | [Seamless] Fix links in docs | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_27905). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | 1,702 | 1,702 | 1,702 | CONTRIBUTOR | null | # What does this PR do?
Relative links were broken, updated to absolute URL ones. | {
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https://api.github.com/repos/huggingface/transformers/issues/27904 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27904/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27904/comments | https://api.github.com/repos/huggingface/transformers/issues/27904/events | https://github.com/huggingface/transformers/issues/27904 | 2,032,397,437 | I_kwDOCUB6oc55I-x9 | 27,904 | ERROR: Could not build wheels for safetensors, tokenizers, which is required to install pyproject.toml-based projects | {
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"hey which version of python are you working with? And what hardware are you using? ",
"> hey which version of python are you working with? And what hardware are you using?\r\n\r\nthanks a lot! I have just solved this problem, and wish you a good day!",
"How did you solve this?\r\n",
"> hey which version of p... | 1,702 | 1,705 | 1,703 | NONE | null | ### System Info
`pip install transformers`
### Who can help?
_No response_
### Information
- [X] The official example scripts
- [ ] My own modified scripts
### Tasks
- [X] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or dataset (give details below)
### Reprod... | {
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https://api.github.com/repos/huggingface/transformers/issues/27903 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27903/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27903/comments | https://api.github.com/repos/huggingface/transformers/issues/27903/events | https://github.com/huggingface/transformers/pull/27903 | 2,032,323,741 | PR_kwDOCUB6oc5hgZaW | 27,903 | Fix `notification_service.py` | {
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Fix a tiny issue in #27881 | {
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https://api.github.com/repos/huggingface/transformers/issues/27902 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27902/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27902/comments | https://api.github.com/repos/huggingface/transformers/issues/27902/events | https://github.com/huggingface/transformers/issues/27902 | 2,032,276,433 | I_kwDOCUB6oc55IhPR | 27,902 | Trainer logging_first_step not evaluate on first step as it is documented | {
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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... | 1,702 | 1,707 | 1,707 | NONE | null | ### System Info
`transformers` version: 4.35.2
### Who can help?
trainer: @muellerzr and @pacman100
### 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 d... | {
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https://api.github.com/repos/huggingface/transformers/issues/27901 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27901/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27901/comments | https://api.github.com/repos/huggingface/transformers/issues/27901/events | https://github.com/huggingface/transformers/pull/27901 | 2,032,120,031 | PR_kwDOCUB6oc5hfsP8 | 27,901 | [Bugfix] non_attended_tokens index | {
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"@ArthurZucker Here is the minimum code.\r\n\r\n```\r\nimport torch\r\nfrom transformers.models.llava.modeling_llava import LlavaForConditionalGeneration\r\n\r\n\r\nclass TestLlavaForConditionalGeneration(LlavaForConditionalGeneration):\r\n def forward(\r\n self,\r\n input_ids= None,\r\n pix... | 1,702 | 1,705 | 1,705 | NONE | null | # What does this PR do?
```
batch_index, non_attended_tokens = torch.where(first_layer_past_key_value == 0)
# Get the target length
target_seqlen = first_layer_past_key_value.shape[-1] + 1
extended_attention_mask = torch.ones(
(attention_mask.shape[0], target_seqlen - attention_mask.shape[1]),
dtype=... | {
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https://api.github.com/repos/huggingface/transformers/issues/27900 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27900/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27900/comments | https://api.github.com/repos/huggingface/transformers/issues/27900/events | https://github.com/huggingface/transformers/issues/27900 | 2,032,092,580 | I_kwDOCUB6oc55H0Wk | 27,900 | Weird Tokenization when Training New Tokenizer from Llama 2 Tokenizer using `train_new_from_iterator` | {
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"Ahhh I'll have a look that looks a bit nasty indeed\r\n",
"Hi @ArthurZucker , any updates on this? Thank you!",
"Hey, I can't reproduce this yet. I don't have your local dataset, and I don't have the loading script so \r\n```python\r\ndef python_generator():\r\n # Load local files for code_search_net/python... | 1,702 | 1,705 | 1,705 | NONE | null | ### System Info
- `transformers` version: 4.35.2
- Platform: Linux-5.4.0-105-generic-x86_64-with-glibc2.31
- Python version: 3.10.13
- Huggingface_hub version: 0.19.4
- Safetensors version: 0.4.1
- Accelerate version: not installed
- Accelerate config: not found
- PyTorch version (GPU?): not installed (NA)
-... | {
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https://api.github.com/repos/huggingface/transformers/issues/27899 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27899/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27899/comments | https://api.github.com/repos/huggingface/transformers/issues/27899/events | https://github.com/huggingface/transformers/pull/27899 | 2,031,983,998 | PR_kwDOCUB6oc5hfOn0 | 27,899 | fix typo in image_processing_blip.py Wwhether -> Whether | {
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https://api.github.com/repos/huggingface/transformers/issues/27898 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27898/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27898/comments | https://api.github.com/repos/huggingface/transformers/issues/27898/events | https://github.com/huggingface/transformers/issues/27898 | 2,031,880,725 | I_kwDOCUB6oc55HAoV | 27,898 | optimizer.param_groups[0]['params'][0].dtype IndexError: list index out of range | {
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"Hello, if you want our help we are going to need a full reproducer (as the contribution guidelines point out)",
"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 d... | 1,702 | 1,705 | 1,705 | NONE | null | ### System Info
errors happened:
deepspeed 0.12.3
transformers 4.35.2
normal:
transformers 4.33.2
deepspeed 0.12.3
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An... | {
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https://api.github.com/repos/huggingface/transformers/issues/27897 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27897/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27897/comments | https://api.github.com/repos/huggingface/transformers/issues/27897/events | https://github.com/huggingface/transformers/pull/27897 | 2,031,752,315 | PR_kwDOCUB6oc5hedag | 27,897 | fix bug in mask2former: cost matrix is infeasible | {
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As per the title, fix a bug that causes the error of ``ValueError: cost matrix is infeasible``.
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https://api.github.com/repos/huggingface/transformers/issues/27896 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27896/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27896/comments | https://api.github.com/repos/huggingface/transformers/issues/27896/events | https://github.com/huggingface/transformers/pull/27896 | 2,031,737,201 | PR_kwDOCUB6oc5heaTe | 27,896 | [docs] Fused AWQ modules | {
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- I think the reintroduced Benchmarks in the AWQ section is a duplicate because it's already currently at the end of the doc. I moved the Benchmarks to the end because I think comparing the results of all the quantization schemes make... | {
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https://api.github.com/repos/huggingface/transformers/issues/27895 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27895/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27895/comments | https://api.github.com/repos/huggingface/transformers/issues/27895/events | https://github.com/huggingface/transformers/pull/27895 | 2,031,459,951 | PR_kwDOCUB6oc5hdeXJ | 27,895 | [LLaVa] Some improvements | {
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"They are failing on my setup:\r\n```\r\nFAILED tests/models/llava/test_modeling_llava.py::LlavaForConditionalGenerationIntegrationTest::test_small_model_integration_test_batch - AssertionError: Lists differ: ['USER: \\nWhat are the things I should be [267 chars]ock'] != ['\\nUSER: What are the things I should be ... | 1,701 | 1,702 | 1,702 | CONTRIBUTOR | null | # What does this PR do?
Some minor improvements when going over the LLaVa code. | {
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https://api.github.com/repos/huggingface/transformers/issues/27894 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27894/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27894/comments | https://api.github.com/repos/huggingface/transformers/issues/27894/events | https://github.com/huggingface/transformers/issues/27894 | 2,031,129,801 | I_kwDOCUB6oc55EJTJ | 27,894 | Group beam search decoded result depends on pad_token_id even though it's not printable | {
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"Hey, both padding tokens are not `non-printable` you just decided to skip them using `skip_special_tokens = True`. \r\nYou should try to set the padding to the left as it is recommended for generation and the padding token on the right will always impact the model. more details [here](https://github.com/huggingfac... | 1,701 | 1,702 | 1,702 | NONE | null | ### System Info
transformers Version: 4.35.2
Windows and Ubuntu20
Python 3.11.3
### Who can help?
@gante
### Information
- [ ] The official example scripts
- [X] My own modified scripts
### Tasks
- [X] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or dataset ... | {
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https://api.github.com/repos/huggingface/transformers/issues/27893 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27893/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27893/comments | https://api.github.com/repos/huggingface/transformers/issues/27893/events | https://github.com/huggingface/transformers/issues/27893 | 2,031,120,434 | I_kwDOCUB6oc55EHAy | 27,893 | Insanely-Fast-Whisper model: large - Cantonese KeyError "yue" | {
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"Hey could you share a full reproducer, with a traceback and the output of `transformers-cli env`",
"```\r\nfrom transformers import pipeline\r\nimport torch\r\n\r\nmodel = \"openai/whisper-large\"\r\n\r\nobj = pipeline(model=model,\r\n torch_dtype=torch.float16,\r\n device=\"cuda:0\",... | 1,701 | 1,702 | 1,702 | NONE | null | ### System Info
Using Newest transformers from Main. Ubuntu Linux 22.04
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own tas... | {
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"@ArthurZucker do you know which steps are left in the process?"
] | 1,701 | 1,704 | 1,704 | 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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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_27891). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | 1,701 | 1,702 | 1,702 | CONTRIBUTOR | null | # What does this PR do?
1. Fixes https://github.com/huggingface/transformers/issues/27878 introduced by https://github.com/huggingface/transformers/pull/27652
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"Hello. I am open to any feedback.",
"Hi @stevhliu, thanks!",
"Hi @osanseviero, thanks for the help. Please let me know anything else."
] | 1,701 | 1,702 | 1,702 | CONTRIBUTOR | null | # What does this PR do?
Add the Spanish version of `pad_truncation.md` to `transformers/docs/source/es`
Fix a typo in the table of `en/pad_truncation.md`
Fixes #15947
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [ ] Did yo... | {
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The test is introduced in #26234 which doesn't work as expected.
This PR update the values.
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"On going through the source code for `add_special_tokens` in the link [here](https://github.com/huggingface/transformers/blob/main/src/transformers/tokenization_utils_base.py#L873), it seems like this function has a param `replace_additional_special_tokens` which defaults to `True`.\r\n\r\nThis is an excerpt from ... | 1,701 | 1,705 | 1,705 | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.35.2
- Platform: Linux-5.4.0-166-generic-x86_64-with-glibc2.31
- Python version: 3.9.17
- 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+cu118 (True)
- Tens... | {
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"Strange that we don't see the issue on our CI. Do you know why @fxmarty?",
"@ydshieh Can you try `RUN_SLOW=1 CUDA_VISIBLE_DEVICES=0 pytest tests/models/llama -s -vvvvv -k \"test_resize_tokens_embeddings\"` on main?",
"I am not sure it's weird. The `push` tests should run on GPU so those should have failed...\r... | 1,701 | 1,701 | 1,701 | COLLABORATOR | null | As per title, fix a bug introduced in https://github.com/huggingface/transformers/pull/24587 in the GPU tests. | {
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Adds copied from in the test files automatically. | {
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Note: Please search to see if an issue already exists for the language you are trying to translate.
-->
Hi!
Let's bring the documentation to all the jp-speaking community 🌐 (currently 0 out of 267 complete)
Who would want to translate? Please follow the 🤗 [TRANSLATING guide](https://github.com/hugging... | {
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"@stevhliu, I built docs locally, it should pass now.",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_27884). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"Did the final change as ... | 1,701 | 1,702 | 1,702 | CONTRIBUTOR | null | # What does this PR do?
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_27883). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"Hi~ o(* ̄▽ ̄*)ブ Could you tell me what your plans? May I know when the PR can be me... | 1,701 | 1,708 | null | COLLABORATOR | null | # What does this PR do?
Drafts the support of chat GLM | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_27881). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | 1,701 | 1,701 | 1,701 | COLLABORATOR | null | # What does this PR do?
It's now difficult to see the **new** failing tests on our Slack CI report, as they are > 100 failures. Also, scrolling over the many slack reply responses is time consuming to get the right place.
This PR add the new failing tests in 2 places:
- the end of post
- the end of the r... | {
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https://api.github.com/repos/huggingface/transformers/issues/27880 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27880/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27880/comments | https://api.github.com/repos/huggingface/transformers/issues/27880/events | https://github.com/huggingface/transformers/issues/27880 | 2,030,179,409 | I_kwDOCUB6oc55AhRR | 27,880 | Model generation is not stopping on eos token | {
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"Hey! This is a duplicate of a lot of issue, the eos token is set to `AddedToken(content = \"</s>\", normalized = True,...)`. This will work:\r\n```python \r\nfrom transformers import AutoTokenizer, AddedToken \r\ntokenizer = AutoTokenizer.from_pretrained(\"NousResearch/Llama-2-7b-chat-hf\", eos_token = AddedToken(... | 1,701 | 1,702 | 1,702 | NONE | null | ### System Info
I have a finetuned llama2 model: "HenryJJ/tangshi-llama2-7b-chat-qlora" loaded by:
```
from peft import AutoPeftModelForCausalLM
# Local directory where the model is saved
local_model_path = "HenryJJ/tangshi-llama2-7b-chat-qlora"
tokenizer = AutoTokenizer.from_pretrained(model_id)
tokenizer... | {
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https://api.github.com/repos/huggingface/transformers/issues/27879 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27879/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27879/comments | https://api.github.com/repos/huggingface/transformers/issues/27879/events | https://github.com/huggingface/transformers/issues/27879 | 2,029,990,560 | I_kwDOCUB6oc54_zKg | 27,879 | FuyuProcessor broken and causes infinite loop | {
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"if anyone runs into this, its because of the `if end != start` then `continue` will just keep going. both these functions should be rewritten ",
"cc @molbap for visibility, and @grahamannett if you can share a full reproducer would be helpful! ",
"@ArthurZucker its hard to reproduce since the encoding throws ... | 1,701 | 1,705 | 1,705 | NONE | null | https://github.com/huggingface/transformers/blob/75336c17945c6b1b5552dbf0236d25f869168aab/src/transformers/models/fuyu/processing_fuyu.py#L618
I am not sure exactly why/how it is but localized an issue where this segment of the processor goes into an infinite loop.
Could be another segment but if I add a timeout ... | {
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https://api.github.com/repos/huggingface/transformers/issues/27878 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27878/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27878/comments | https://api.github.com/repos/huggingface/transformers/issues/27878/events | https://github.com/huggingface/transformers/issues/27878 | 2,029,968,111 | I_kwDOCUB6oc54_trv | 27,878 | Fail to resume training from Pytorch FSDP checkpoint. | {
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"Hello, please let us know if the above PR resolves the issue.",
"Thank you for your follow up.\r\nI tried the new branch, but it gave another error:\r\n```python\r\nTraceback (most recent call last):\r\n File \"/home/user/lm_finetune/train_tts.py\", line 183, in <module>\r\n train()\r\n File \"/home/user/lm... | 1,701 | 1,702 | 1,702 | NONE | null | ### System Info
- `transformers` version: 4.35.2 (I also tried the development version 4.36.0 but the same problem arised)
- Platform: Linux-5.15.0-1033-azure-x86_64-with-glibc2.31
- Python version: 3.10.13
- Huggingface_hub version: 0.19.4
- Safetensors version: 0.4.1
- Accelerate version: 0.25.0
- Accelerat... | {
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https://api.github.com/repos/huggingface/transformers/issues/27877 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27877/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27877/comments | https://api.github.com/repos/huggingface/transformers/issues/27877/events | https://github.com/huggingface/transformers/pull/27877 | 2,029,700,435 | PR_kwDOCUB6oc5hXb0R | 27,877 | Format code | {
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"Hey, which version of `ruff` are you using? The main CI usually make sure that we have the correct format and it does not seem to be failing. ",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_27877). All of your documentation changes will be reflected on that endpoint.... | 1,701 | 1,705 | 1,705 | CONTRIBUTOR | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/27876 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27876/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27876/comments | https://api.github.com/repos/huggingface/transformers/issues/27876/events | https://github.com/huggingface/transformers/issues/27876 | 2,029,550,828 | I_kwDOCUB6oc54-Hzs | 27,876 | `aggregations_strategies` for TokenClassificationPipeline seem broken when note `simple` | {
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"Hello Antoine,\r\n\r\nThanks for reporting this issue. I don't have the time to look at it in details. I think this is due to the tokenizer not supporting \"real words\" hence falling into the heuristic [here](https://github.com/huggingface/transformers/blob/75336c17945c6b1b5552dbf0236d25f869168aab/src/transformer... | 1,701 | 1,702 | 1,702 | NONE | null | ### System Info
Copy-and-paste the text below in your GitHub issue and FILL OUT the two last points.
- `transformers` version: 4.35.2
- Platform: macOS-13.6.2-arm64-arm-64bit
- Python version: 3.11.6
- Huggingface_hub version: 0.19.4
- Safetensors version: 0.4.1
- Accelerate version: 0.25.0
- Accelerate con... | {
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https://api.github.com/repos/huggingface/transformers/issues/27875 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27875/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27875/comments | https://api.github.com/repos/huggingface/transformers/issues/27875/events | https://github.com/huggingface/transformers/pull/27875 | 2,029,519,080 | PR_kwDOCUB6oc5hW1FC | 27,875 | Fix for stochastic depth decay rule in the TimeSformer implementation | {
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"tagging @amyeroberts as the change is in the vision module.",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_27875). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | 1,701 | 1,702 | 1,702 | CONTRIBUTOR | null | Fixing typo to correct the stochastic depth decay rule
# What does this PR do?
Implementation of `drop_path` module in TimesformerLayer uses a constant config.drop_path as oppose to stochastic drop path as expected - see comments [here](https://github.com/huggingface/transformers/blob/main/src/transformers/models... | {
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https://api.github.com/repos/huggingface/transformers/issues/27874 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27874/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27874/comments | https://api.github.com/repos/huggingface/transformers/issues/27874/events | https://github.com/huggingface/transformers/issues/27874 | 2,029,450,995 | I_kwDOCUB6oc549vbz | 27,874 | When using HF trainer + PEFT + DeepSpeed ZeRO3, there's only hacky way to save the base model | {
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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... | 1,701 | 1,706 | null | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.34.1
- Platform: Linux-3.10.0-1160.102.1.el7.x86_64-x86_64-with-glibc2.17
- Python version: 3.10.12
- Huggingface_hub version: 0.17.1
- Safetensors version: 0.3.3
- Accelerate version: 0.22.0
- Accelerate config: not found
- PyTorch version (GPU?): 2.1.0+cu121 (F... | {
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"Yep I like this optimisation, non breaking overall ",
"@ArthurZucker it is a breaking change in its current state, since `out_indices` currently defaults to the last stage index if the user doesn't specify them (think @amyeroberts added that [here](https://github.com/huggingface/transformers/blob/0410a29a2d5c798... | 1,701 | 1,705 | 1,705 | CONTRIBUTOR | null | # What does this PR do?
Currently, our `AutoBackbone` classes allow to get specific feature maps out of a certain vision model. For example:
```
from transformers import ConvNextBackbone
import torch
model = ConvNextBackbone.from_pretrained("facebook/convnext-small-224", out_indices=[0,1,2,3])
pixel_value... | {
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"Kindly ping @muellerzr ",
"Hi @muellerzr, thanks for the review! Just updated other no_trainer scripts which handle gradient accumulation by `with accelerator.accumulate(model)`",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addr... | 1,701 | 1,706 | 1,705 | CONTRIBUTOR | null | # What does this PR do?
Hi!
I ran into unexpected behaviors with the LR scheduler when using gradient accumulation in a distributed environment within this script. I managed to fix it on my end with the following changes:
1. `AcceleratedScheduler` currently steps only when gradient accumulation is performed. A... | {
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"Hi @angelayi Thank you for opening a PR. I am not really familiar with this topic, so here are a few questions:\r\n\r\n> To ensure that the serialized name is consistent and doesn't change often\r\n\r\nCould you show us an example that we can see the serialized name being changed (without the change in this PR)?\r... | 1,701 | 1,706 | 1,706 | CONTRIBUTOR | null | # What does this PR do?
[`torch.export`](https://pytorch.org/docs/main/export.html) produces a graph representation of the program which contains a pytree `TreeSpec` specifying how to flatten the inputs from whatever structure they were in before to a flattened list of inputs to pass to the graph, and unflatten the ... | {
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https://api.github.com/repos/huggingface/transformers/issues/27870 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27870/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27870/comments | https://api.github.com/repos/huggingface/transformers/issues/27870/events | https://github.com/huggingface/transformers/issues/27870 | 2,029,082,336 | I_kwDOCUB6oc548Vbg | 27,870 | The model 'T5ForConditionalGeneration' is not supported for text-generation. | {
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"Hey! The pipeline to use is `\"text2text-generation\"` for T5. Yeah not super intuitive 😓 ",
"Hey @nickjtay I am curious about why did you choose `text-generation` Please point me out to the source. I'll work on it. ",
"Thank you I will use `text2text-generation`",
"> Hey @nickjtay I am curious about why di... | 1,701 | 1,702 | 1,702 | NONE | null | Immediately below is taken directly from huggingface's library documentation and is included in my script:
https://huggingface.co/docs/transformers/model_doc/flan-t5
```
tokenizer = AutoTokenizer.from_pretrained("google/flan-t5-small")
model = AutoModelForSeq2SeqLM.from_pretrained("google/flan-t5-small")
```
Ho... | {
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https://api.github.com/repos/huggingface/transformers/issues/27869 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27869/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27869/comments | https://api.github.com/repos/huggingface/transformers/issues/27869/events | https://github.com/huggingface/transformers/issues/27869 | 2,029,053,734 | I_kwDOCUB6oc548Ocm | 27,869 | Adding truncation to text-generation pipeline | {
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"Hey! Sounds good, actually passing tokenizer arguments would be great in general, and better to have full args than kwargs. \r\nOne of the issue with this is that it does not really go well with the hierarchy because this means we cannot pass custom argument of custom tokenizers, but we could just have the args th... | 1,701 | 1,704 | null | CONTRIBUTOR | null | ### Feature request
Passing along the `truncation` argument from the `text-generation` pipeline to the tokenizer.
### Motivation
If you're using a `text-generation` with input text from the user it is likely that their input text is too long. This doesn't cause problems for some models, e.g. `t5` based, but for oth... | {
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"Also, `AttentionMaskConverter` is not in the documentation so not really user-facing."
] | 1,701 | 1,702 | 1,702 | COLLABORATOR | null | As per title, fixes https://github.com/huggingface/transformers/issues/27789.
This issue is only for PyTorch 2.1 and has been fixed in torch nightly. | {
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"cc @younesbelkada "
] | 1,701 | 1,701 | 1,701 | COLLABORATOR | null | # What does this PR do?
Another approach to #26433. Fix #25910 | {
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"cc @muellerzr sounds good to me wdyt? ",
"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/huggingfa... | 1,701 | 1,704 | null | NONE | null | ### Feature request
Currently, there is only 1 required param in creating a TrainingArguments object - `output_dir`. HFTrainer manually creates an object with a default value "tmp_trainer" if no Args object is passed to it.
Instead, we should make even this one param optional in the TrainingArguments class (and use... | {
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https://api.github.com/repos/huggingface/transformers/issues/27865 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27865/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27865/comments | https://api.github.com/repos/huggingface/transformers/issues/27865/events | https://github.com/huggingface/transformers/pull/27865 | 2,027,990,316 | PR_kwDOCUB6oc5hRjww | 27,865 | Support PeftModel signature inspect | {
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"cc @amyeroberts for a second look."
] | 1,701 | 1,702 | 1,702 | CONTRIBUTOR | null | # What does this PR do?
If we set `remove_unused_columns` to 'True' while training a `LoRA` model, the all dataset columns will be removed.
This is because the `_set_signature_columns_if_needed` function directly checks the signature of `self.model`. If `self.model` is a `PeftModel`, the signature will become `['ar... | {
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https://api.github.com/repos/huggingface/transformers/issues/27863 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27863/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27863/comments | https://api.github.com/repos/huggingface/transformers/issues/27863/events | https://github.com/huggingface/transformers/pull/27863 | 2,027,862,438 | PR_kwDOCUB6oc5hRJCK | 27,863 | Choose appropriate loss function (MSE if regression) during forward as the doc suggests so that audio models could do regression | {
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"## Updated\r\n\r\nI also found other audio classification models, such as wav2vec 2.0, HuBERT, WavLM, etc., except Audio Spectrogram Transformer, have similar issues. Therefore, I mended them as well.\r\n\r\n~~After applying the patch, `make fixup` failed for `data2vec_audio` despite the fact that `data2vec_text` ... | 1,701 | 1,707 | null | NONE | null | # What does this PR do?
The general documentation of `transformers` says that a classifier would specialize in regression if `num_labels` in config is set to 1. The doc-string comments of `WhisperForAudioClassification` class also suggest that it would do so. Nevertheless, the actual implementation of `forward()` me... | {
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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... | 1,701 | 1,706 | null | NONE | null | ### System Info
- `transformers` version: 4.35.1
- Platform: Linux-5.4.0-166-generic-x86_64-with-glibc2.35
- Python version: 3.11.5
- Huggingface_hub version: 0.17.3
- Safetensors version: 0.4.0
- Accelerate version: 0.24.1
- Accelerate config: - compute_environment: LOCAL_MACHINE
- distributed_typ... | {
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"```diff\r\n(base) mima0000@mima0000deMacBook-Air ViTMAE % python run_mae.py \\\r\n --model_name_or_path /Users/mima0000/本地文档/ViTMAE/mae_base \\\r\n --dataset_name /Users/mima0000/本地文档/ViTMAE/Nuclear/ \\\r\n- --train_dir /Users/mima0000/本地文档/ViTMAE/Nuclear/train/* \\\r\n+ --train_dir /Users/mima0000/本地文... | 1,701 | 1,705 | 1,705 | NONE | null | ### System Info
I encountered an error while running the run_mae.py script with the following command:
```basg
(base) mima0000@mima0000deMacBook-Air ViTMAE % python run_mae.py \
--model_name_or_path /Users/mima0000/本地文档/ViTMAE/mae_base \
--dataset_name /Users/mima0000/本地文档/ViTMAE/Nuclear/ \
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<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
Then, please replace this w... | {
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"As an example, <s> could show up when having a model generate or classify HTML. I think this is a very valid use case.",
"The slow tokenizer support the `encode_special_tokens` option which is set to false by default because most common use case need the special token to be recognized. Fast is going to sup... | 1,701 | 1,705 | 1,705 | NONE | null | ### System Info
- `transformers` version: 4.36.0.dev0
- Platform: Linux-6.2.0-37-generic-x86_64-with-glibc2.37
- Python version: 3.11.4
- Huggingface_hub version: 0.19.4
- Safetensors version: 0.4.0
- Accelerate version: 0.24.1
- Accelerate config: not found
- PyTorch version (GPU?): 2.2.0.dev20231126+rocm... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_27856). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | 1,701 | 1,701 | 1,701 | CONTRIBUTOR | null | # What does this PR do?
As per title, as pointed out by @SunMarc offline
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"Hey! Thanks for reporting 🤗 would you like to open a PR for a fix? ",
"Hi, yes. I have created a PR. Could you take a look into it?\r\n\r\nThanks\r\n\r\n",
"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... | 1,701 | 1,704 | 1,704 | CONTRIBUTOR | null | ### System Info
`transformers==4.35.2`
### Who can help?
@ArthurZucker @younesbelkada @amyeroberts
### Information
- [ ] The official example scripts
- [X] My own modified scripts
### Tasks
- [X] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or ... | {
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https://api.github.com/repos/huggingface/transformers/issues/27854 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/27854/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/27854/comments | https://api.github.com/repos/huggingface/transformers/issues/27854/events | https://github.com/huggingface/transformers/pull/27854 | 2,026,282,819 | PR_kwDOCUB6oc5hLsyw | 27,854 | delete `delete_doc_comment_trigger.yml` workflow | {
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"Superceded by #27852",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_27854). All of your documentation changes will be reflected on that endpoint."
] | 1,701 | 1,701 | 1,701 | COLLABORATOR | null | # What does this PR do?
delete `delete_doc_comment_trigger.yml` workflow as `huggingface/doc-builder/.github/workflows/delete_doc_comment_trigger.yml` no longer exists for security reason. | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_27853). All of your documentation changes will be reflected on that endpoint."
] | 1,701 | 1,701 | 1,701 | CONTRIBUTOR | null | # What does this PR do?
DeepSpeed tests are failing because they require higher CUDA versions
## 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/b... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_27852). All of your documentation changes will be reflected on that endpoint."
] | 1,701 | 1,701 | 1,701 | CONTRIBUTOR | null | Removed the delete doc workflows as per request by @mishig25 | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_27851). All of your documentation changes will be reflected on that endpoint."
] | 1,701 | 1,701 | 1,701 | CONTRIBUTOR | null | # What does this PR do?
As per title, all accelerate tests pass
addresses: https://github.com/huggingface/transformers/pull/27662#discussion_r1415445563 for llava
cc @ArthurZucker
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] | 1,701 | 1,701 | 1,701 | MEMBER | null | # What does this PR do?
#27351 fixes a bug in beam search: the prompt length was being included in the length penalty computation, and this penalty should only be applied on newly generated tokens (otherwise decoder-only models would often see a big penalty, as the prompt is part of the output)
This PR updates th... | {
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