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https://api.github.com/repos/huggingface/transformers/issues/25120 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25120/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25120/comments | https://api.github.com/repos/huggingface/transformers/issues/25120/events | https://github.com/huggingface/transformers/pull/25120 | 1,822,647,564 | PR_kwDOCUB6oc5WdHwd | 25,120 | Fix `.push_to_hub` and cleanup `get_full_repo_name` usage | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thanks for the review @ydshieh. I added some comments and fix a bug where token was not used (well done finding this one! :wink:). So I think we're good to go now. I'll merge the PR once CI is green :) ",
"@Wauplin Thanks for the u... | 1,690 | 1,690 | 1,690 | CONTRIBUTOR | null | A few (vaguely) related changes in this PR. The main goal was to fix a bug when `.push_to_hub` is used with a repo_id in the form `"organization/repo_name"` that is also a local working directory. The organization gets removed which pushes the model to `"username/repo_name"` instead of under the organization. This bug ... | {
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https://api.github.com/repos/huggingface/transformers/issues/25119 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25119/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25119/comments | https://api.github.com/repos/huggingface/transformers/issues/25119/events | https://github.com/huggingface/transformers/issues/25119 | 1,822,594,048 | I_kwDOCUB6oc5sopQA | 25,119 | Support End LR for Cosine LR Scheduler | {
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"You can pass along your custom scheduler to the `Trainer` :-)",
"OK, Thank you."
] | 1,690 | 1,690 | 1,690 | CONTRIBUTOR | null | ### Feature request
Customize the end learning rate of a cosine LR scheduler, as a non-zero end lr is commonly used now (e.g., LLaMA-2 use 10% of peak lr as end lr).
### Motivation
non-zero end lr is commo... | {
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"Related to https://github.com/huggingface/transformers/issues/25108 @ydshieh ",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_25118). All of your documentation changes will be reflected on that endpoint."
] | 1,690 | 1,690 | 1,690 | CONTRIBUTOR | null | # What does this PR do?
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"When I run a profiler it seems there is a bottleneck in the `apply_rotary_pos_emb` function called from the ESM sequence embedding. It could be that this is such a large bottle neck, that changing the batch size almost has no effect.",
"cc @Rocketknight1 ",
"Hi\r\n\r\nIt would be good to provide a full code sn... | 1,690 | 1,690 | 1,690 | NONE | null | ### System Info
Transformers version: 4.30.2
Python version: 3.9.16
This occurs on both:
MacBook Pro M2: MacOS 13.2.1 (22D68), ran using mps
AND
Debian 4.19.171-2 x86_64 GNU/Linux, ran using gpu
### Who can help?
@ArthurZucker and @younesbelkada
### Information
- [X] The official example scripts
- [ ] My ow... | {
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https://api.github.com/repos/huggingface/transformers/issues/25116 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25116/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25116/comments | https://api.github.com/repos/huggingface/transformers/issues/25116/events | https://github.com/huggingface/transformers/pull/25116 | 1,822,526,923 | PR_kwDOCUB6oc5WcteT | 25,116 | [`MptConfig`] support from pretrained args | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"cc @sgugger "
] | 1,690 | 1,690 | 1,690 | COLLABORATOR | null | # What does this PR do?
Adds a setter for `attn_config` to allow passing dict when initializing for backward compatibility
Fixes https://github.com/huggingface/transformers/issues/25114 | {
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"done",
"ok now done :) \r\nsorry for all the force pushes I just wasn't sure how you guys merge so I preferred to keep 1 clean commit",
"> sorry for all the force pushes I just wasn't sure how you guys merge so I preferred to keep 1 clean commit\r\n\r\n@yonigottesman no worries, we squash before merging ;)",
... | 1,690 | 1,690 | 1,690 | CONTRIBUTOR | null | # What does this PR do?
<!--
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"cc @younesbelkada and @ArthurZucker ",
"Hey! Thanks for reporting. Indeed this does not work as the `attn_config` object does not seem to get converted to a `MptAttentionConfig` object. The `MptAttention` still needs the full config. \r\nWill open a PR to fix this as I guess this was previously working! ",
"It... | 1,690 | 1,690 | 1,690 | NONE | null | ### System Info
Creating model MPT:
```
model = MptForCausalLM.from_pretrained(
model_args.model_name_or_path,
cache_dir=training_args.cache_dir,
torch_dtype=torch.bfloat16,
use_cache=False,
init_device=f"cuda:{local_rank}",
attn_config=dict(attn_impl="flas... | {
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https://api.github.com/repos/huggingface/transformers/issues/25113 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25113/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25113/comments | https://api.github.com/repos/huggingface/transformers/issues/25113/events | https://github.com/huggingface/transformers/pull/25113 | 1,822,358,668 | PR_kwDOCUB6oc5WcJLb | 25,113 | Fix past CI after #24334 | {
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"@ydshieh thank you for fixing it ๐ ",
"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,690 | 1,690 | 1,690 | COLLABORATOR | null | # What does this PR do?
Fix dtype issue in past CI (pytorch 1.11 and 1.10) after #24334
cc @gante | {
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"The `unscale_gradients` is done in the first screenshot a couple of lines above. I'm not sure what it is you are reporting as a bug.",
"> unscale_gradients\r\n\r\nI run the same code in the same environment, the difference is the version of transformers.\r\n\r\ntransformers4.28.1 running normally\r\n
Transformers4.30.2:
![image](https://github.com/huggingface/transformers/assets/39549453/b8b9fe7a-ca3e-4b... | {
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"Hey! Pretty sure this was just a temporary failure! It is back up for me! ",
"Thanks for your reply. But the problem still exists for me. \r\nI debugged the code of Transformers 4.8.1 and found there is an variable called `vocab_files` in PreTrainedTokenizerBase.from_pretrained method.\r\n`vocab_files` contains ... | 1,690 | 1,695 | 1,694 | NONE | null | ### System Info
transformers version: 4.8.1
python version: 3.8
platform: Ubuntu 20.04.1 LTS
### Who can help?
@ArthurZucker, @younesbelkada
### Information
- [ ] The official example scripts
- [X] 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/25110 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25110/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25110/comments | https://api.github.com/repos/huggingface/transformers/issues/25110/events | https://github.com/huggingface/transformers/issues/25110 | 1,822,227,833 | I_kwDOCUB6oc5snP15 | 25,110 | Feature request: Adding einops as a Dependency | {
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"There is actually a (recent) discussion\r\n\r\n> There have been lots of discussions on this in the past, the TLDR is that we aren't supporting it cause it causes issues with things like ONNX\r\n\r\nand the approach is more\r\n\r\n> just re-wrote that part in pure pytorch,\r\n\r\n",
"For me there is no reason t... | 1,690 | 1,705 | 1,693 | NONE | null | ### Feature request
I propose that the einops library be added as a dependency in the HuggingFace Transformers library. einops (Einstein Notation Operations) is a Python library that provides a more expressive language for tensor operations. This would offer highly readable and maintainable code for complex tensor res... | {
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https://api.github.com/repos/huggingface/transformers/issues/25109 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25109/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25109/comments | https://api.github.com/repos/huggingface/transformers/issues/25109/events | https://github.com/huggingface/transformers/pull/25109 | 1,822,214,249 | PR_kwDOCUB6oc5Wbp3e | 25,109 | ๐จ๐จ๐จChange default from `adamw_hf` to `adamw_torch` ๐จ๐จ๐จ | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,690 | 1,690 | 1,690 | CONTRIBUTOR | null | # What does this PR do?
This PR changes the default from `adamw_hf` to `adamw_torch`, as noted in https://github.com/huggingface/transformers/issues/25006 which fixes some breaking issues. Note that https://github.com/huggingface/transformers/issues/22141 still needs to be fulfilled once torch 2.1.0 is released (som... | {
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https://api.github.com/repos/huggingface/transformers/issues/25108 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25108/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25108/comments | https://api.github.com/repos/huggingface/transformers/issues/25108/events | https://github.com/huggingface/transformers/issues/25108 | 1,822,174,979 | I_kwDOCUB6oc5snC8D | 25,108 | Wrong default values according to docstrings? | {
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"Hi @ebezzam \r\n\r\nI am not sure I understand the question. Could you describe it more precisely? Thanks.",
"Hi @ydshieh thank you for your quick response.\r\n\r\nThe docstring of [ViTConfig](https://github.com/huggingface/transformers/blob/d941f07a4e3bc7b61b7afbd25d6e2e8427fccc6d/src/transformers/models/vit/co... | 1,690 | 1,690 | 1,690 | CONTRIBUTOR | null | https://github.com/huggingface/transformers/blob/d941f07a4e3bc7b61b7afbd25d6e2e8427fccc6d/src/transformers/models/vit/configuration_vit.py#L100
https://github.com/huggingface/transformers/blob/d941f07a4e3bc7b61b7afbd25d6e2e8427fccc6d/src/transformers/models/vit/configuration_vit.py#L101 | {
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https://api.github.com/repos/huggingface/transformers/issues/25107 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25107/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25107/comments | https://api.github.com/repos/huggingface/transformers/issues/25107/events | https://github.com/huggingface/transformers/pull/25107 | 1,822,134,342 | PR_kwDOCUB6oc5WbYZx | 25,107 | add util for ram efficient loading of model when using fsdp | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@pacman100 Hi, I've tried to run Llama2 with the two PR but it seems something went wrong. Plz check, thx!\r\n\r\nWhile copying the parameter named \"model.layers.29.self_attn.v_proj.weight\", whose dimensions in the model are torch.... | 1,690 | 1,707 | 1,692 | CONTRIBUTOR | null | # What does this PR do?
1. Fixes an issue explained in https://github.com/pytorch/pytorch/issues/105840 when using FSDP for training very large models. Should be merged after https://github.com/huggingface/accelerate/pull/1777
Currently, when using FSDP, the model is loaded for each of the N processes completely on... | {
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https://api.github.com/repos/huggingface/transformers/issues/25106 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25106/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25106/comments | https://api.github.com/repos/huggingface/transformers/issues/25106/events | https://github.com/huggingface/transformers/pull/25106 | 1,822,061,831 | PR_kwDOCUB6oc5WbIrt | 25,106 | Fix `PvtModelIntegrationTest::test_inference_fp16` | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,690 | 1,690 | 1,690 | COLLABORATOR | null | # What does this PR do?
Failing
```bash
FAILED tests/models/pvt/test_modeling_pvt.py::PvtModelIntegrationTest::test_inference_fp16 - ValueError: PvtForImageClassification does not support `device_map='auto'`. To implement support, the modelclass needs to implement the `_no_split_modules` attribute.
```
A fix... | {
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https://api.github.com/repos/huggingface/transformers/issues/25105 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25105/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25105/comments | https://api.github.com/repos/huggingface/transformers/issues/25105/events | https://github.com/huggingface/transformers/pull/25105 | 1,821,757,803 | PR_kwDOCUB6oc5WaHEv | 25,105 | fix get_keys_to_not_convert() to return correct modules for full precision inference | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"cc @younesbelkada for a first look",
"@younesbelkada Looks like that you have fixed this in #25047 two days ago. Great work. My bad for not using latest code. \r\n",
"Alright. I am diving deeper into the code.\r\n\r\nCould you tr... | 1,690 | 1,690 | 1,690 | CONTRIBUTOR | null | # What does this PR do?
This PR fixes `get_keys_to_not_convert()` and returns the correct modules that should not be quantized for numerical stability reasons.
For GPT2 and bloom, both the current(1st output) and new version(2nd output) work well.
GPT2
```
>>> filtered_module_names_old is ['transformer.wte', 'l... | {
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https://api.github.com/repos/huggingface/transformers/issues/25104 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25104/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25104/comments | https://api.github.com/repos/huggingface/transformers/issues/25104/events | https://github.com/huggingface/transformers/issues/25104 | 1,821,740,143 | I_kwDOCUB6oc5slYxv | 25,104 | Inconsistent Rotation Base for Dynamic NTK Scaling RoPE | {
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"cc @ArthurZucker who works more on this (kind of) model(s).\r\n\r\nHowever, @NormXU, could you provide a short but self-contained code snippet to demonstrate the `inconsistency` you mentioned? Thanks.",
"Sure\r\n\r\nThe inconsistency happens here:\r\n\r\nhttps://github.com/huggingface/transformers/blob/a5cc30d72... | 1,690 | 1,691 | 1,691 | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.31.0
- Platform: Linux-5.19.0-42-generic-x86_64-with-glibc2.27
- Python version: 3.8.0
- PyTorch version (GPU?): 2.0.0+cu117 (True)
### Who can help?
@ArthurZucker @younesbelkada
### Information
- [X] The official example scripts
- [ ] My own modified scrip... | {
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https://api.github.com/repos/huggingface/transformers/issues/25103 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25103/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25103/comments | https://api.github.com/repos/huggingface/transformers/issues/25103/events | https://github.com/huggingface/transformers/issues/25103 | 1,821,646,332 | I_kwDOCUB6oc5slB38 | 25,103 | Beam search genereation with len(eos_token_id) > 1 throws exceptions | {
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"I think maybe the point of following line was to be sure there are enough tokens that are not eos:\r\n[`generation/utils.py:2976`](https://github.com/huggingface/transformers/blame/main/src/transformers/generation/utils.py#L3072)\r\n~~~\r\n# Sample 2 next tokens for each beam (so we have some spare tokens and matc... | 1,690 | 1,692 | 1,692 | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.31.0
- Platform: Linux-5.13.0-1031-aws-x86_64-with-glibc2.31
- Python version: 3.10.5
- Huggingface_hub version: 0.16.4
- Safetensors version: 0.3.1
- Accelerate version: not installed
- Accelerate config: not found
- PyTorch version (GPU?): 2.0.1+cu117 (True)
- Te... | {
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https://api.github.com/repos/huggingface/transformers/issues/25102 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25102/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25102/comments | https://api.github.com/repos/huggingface/transformers/issues/25102/events | https://github.com/huggingface/transformers/pull/25102 | 1,821,498,750 | PR_kwDOCUB6oc5WZRbc | 25,102 | documentation for llama2 models | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"changes incorporated!"
] | 1,690 | 1,690 | 1,690 | CONTRIBUTOR | null | # What does this PR do?
Adds some documentation for 'f' models.
Fixes #25090
## Before submitting
- [X] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
## Who can review?
@ArthurZucker
** I'm not sure if this is even the right way to include the documenta... | {
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https://api.github.com/repos/huggingface/transformers/issues/25101 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25101/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25101/comments | https://api.github.com/repos/huggingface/transformers/issues/25101/events | https://github.com/huggingface/transformers/pull/25101 | 1,821,153,681 | PR_kwDOCUB6oc5WYIwH | 25,101 | fix tied_params for meta tensor | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,690 | 1,690 | 1,690 | MEMBER | null | # What does this PR do?
This PR fix the retrieval of `tied_params` when we load a model with accelerate. The issue was that we were not able to retrieve the tied parameters by using the `id` function to check equality between meta `tensor`. Instead, we use `find_tied_parameters` from accelerate library.
Solves [#1... | {
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https://api.github.com/repos/huggingface/transformers/issues/25100 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25100/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25100/comments | https://api.github.com/repos/huggingface/transformers/issues/25100/events | https://github.com/huggingface/transformers/issues/25100 | 1,821,124,224 | I_kwDOCUB6oc5sjCaA | 25,100 | Trainer/accelerate crashes when loading checkpoint using FSDP: sync_module_states ValueError | {
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"Hello, as the error mentions, `sync_module_states` needs to be True. For this please use the accelerate launcher with the related accelerate config as specified in the docs here: https://huggingface.co/docs/transformers/main_classes/trainer#using-accelerate-launcher-with-trainer",
"Thank you, I will try that. Is... | 1,690 | 1,695 | 1,695 | NONE | null | ### System Info
- `transformers` version: 4.31.0
- Platform: Linux-5.15.0-41-generic-x86_64-with-glibc2.31
- Python version: 3.11.4
- 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 (True)
- Tensor... | {
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https://api.github.com/repos/huggingface/transformers/issues/25099 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25099/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25099/comments | https://api.github.com/repos/huggingface/transformers/issues/25099/events | https://github.com/huggingface/transformers/issues/25099 | 1,821,118,294 | I_kwDOCUB6oc5sjA9W | 25,099 | Missing '1' token for the Donut Processor checkpoints | {
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"Not sure this is something wrong in Transformers, sounds like it's the model repos that are missing something. cc @younesbelkada ",
"> Note that this behavior is not present for the tokenizer mentioned as a pretrained base on the [donut github repo](https://github.com/clovaai/donut/blob/master/donut/model.py#L15... | 1,690 | 1,692 | 1,692 | CONTRIBUTOR | null | ### System Info
`transformers==4.31.0`
`python=3.9`
### Who can help?
_No response_
### Information
- [X] 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)
... | {
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โ ๏ธ **Dependabot is rebasing this PR** โ ๏ธ
Rebasing might not happen immediately, so don't worry if this takes some time.
Note: if you make any changes to this PR yourself, they will take precedence over the rebase.
---
[//]: # (dependabot-end)
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"Note that the Hub tests are failing because `upload_folder` seems very slow on moon-staging (with 503 errors and multiple retries for each push). Might be worth putting everything in blocking mode for those tests (though we won't test the fact that jobs properly run in the background then)",
"_The documentation ... | 1,690 | 1,691 | 1,691 | COLLABORATOR | null | # What does this PR do?
This PR migrates the internal of the push to Hub strategy inside the Trainer to the upload methods instead of the old git approach. The goal is to benefit from the improvements in terms of speed (for instance `upload_folder` is faster than `Repository` on Colab) and avoid some weird sync erro... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thanks for the clinical review! Merging ๐"
] | 1,690 | 1,690 | 1,690 | CONTRIBUTOR | null | # What does this PR do?
Adds the Flax BLOOM model, superseding #18022 (where force pushing to Younes' branch after rebase closed the PR branch and created a new one) | {
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https://api.github.com/repos/huggingface/transformers/issues/25093 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25093/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25093/comments | https://api.github.com/repos/huggingface/transformers/issues/25093/events | https://github.com/huggingface/transformers/pull/25093 | 1,820,899,775 | PR_kwDOCUB6oc5WXQ_I | 25,093 | Add mask2former fp16 support | {
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"Hi @pedrohml, thanks for opening this PR! \r\n\r\nCould you add some tests for these models e.g. [like this one for ViT](https://github.com/huggingface/transformers/blob/dd9d45b6ecc0861847e21d461187711331a56138/tests/models/vit/test_modeling_vit.py#L320)",
"@amyeroberts thanks for review. do you mind to double c... | 1,690 | 1,691 | 1,691 | CONTRIBUTOR | null | # What does this PR do?
Add float16 support to mask2former module and derivatives
Some operations and conversions were fixed in order to propagate the chosen user _dtype_ (ex: float32, float16) for input and embeddings. In this way, we can pass in fp16 tensors for inference.
## Who can review?
Similar PRs wer... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_25092). All of your documentation changes will be reflected on that endpoint."
] | 1,690 | 1,690 | 1,690 | CONTRIBUTOR | null | # What does this PR do?
As discussed offline, this should refactor the vision config args.
We need to address similar changes as https://huggingface.co/HuggingFaceM4/tiny-random-idefics/discussions/2 to make it work with other checkpoints
cc @stas00
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] | 1,690 | 1,690 | 1,690 | COLLABORATOR | null | # What does this PR do?
A exceptional case (for `MusicgenForConditionalGeneration`) is not detected by the CI triggered in #24927.
Test is currently failing on `main`, see
https://app.circleci.com/pipelines/github/huggingface/transformers/68971/workflows/503866ea-e425-4817-9849-52c6e7fd2865/jobs/863722 | {
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https://api.github.com/repos/huggingface/transformers/issues/25090 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25090/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25090/comments | https://api.github.com/repos/huggingface/transformers/issues/25090/events | https://github.com/huggingface/transformers/issues/25090 | 1,820,837,546 | I_kwDOCUB6oc5sh8aq | 25,090 | Need documentation for understanding the difference between `7B` and `7Bf` | {
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"cc @ArthurZucker ",
"Sure, we can add a bit of documentation, mentioning that this is specific to llama2 official release ๐ "
] | 1,690 | 1,690 | 1,690 | NONE | null | Unclear what the tradeoffs are between using eg `7B` and `7Bf` as an argument for `model_size` in the `convert_llama_weights_to_hf.py` script:
https://github.com/huggingface/transformers/blob/f9cc333805c47665c6afee8b5867931e54abe0c6/src/transformers/models/llama/convert_llama_weights_to_hf.py#L65 | {
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] | 1,690 | 1,690 | 1,690 | COLLABORATOR | null | # What does this PR do?
Moves out the `rescale` and `normalize` methods of the image processors to the BaseImageProcessor class, which all the image processors inherit from.
Reason for moving `rescale` and `normalize`:
* Standard image processing steps
* Used by (almost) all image processors
* Few cases wh... | {
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https://api.github.com/repos/huggingface/transformers/issues/25088 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25088/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25088/comments | https://api.github.com/repos/huggingface/transformers/issues/25088/events | https://github.com/huggingface/transformers/pull/25088 | 1,820,768,107 | PR_kwDOCUB6oc5WW0d6 | 25,088 | [`resize_embedding`] Introduce `pad_to_multiple_of` and guidance | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,690 | 1,693 | 1,692 | COLLABORATOR | null | # What does this PR do?
Fixes #22312.
After internal discussions, it appears that adding the possibility to pad with `-1` to `tokenizers` is not really feasible ( nor is it desirable).
However, what we can do is by default resize the embedding layer to the nearest size that is optimal for the dtype of the model [f... | {
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https://api.github.com/repos/huggingface/transformers/issues/25087 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25087/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25087/comments | https://api.github.com/repos/huggingface/transformers/issues/25087/events | https://github.com/huggingface/transformers/pull/25087 | 1,820,671,628 | PR_kwDOCUB6oc5WWfvG | 25,087 | Edit err message and comment in `test_model_is_small` | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_25087). All of your documentation changes will be reflected on that endpoint."
] | 1,690 | 1,690 | 1,690 | CONTRIBUTOR | null | # What does this PR do?
Tiny error message and comment update to bring into alignment with 1M param max mentioned in https://github.com/huggingface/transformers/pull/24824#issue-1804886584
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https://api.github.com/repos/huggingface/transformers/issues/25086 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25086/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25086/comments | https://api.github.com/repos/huggingface/transformers/issues/25086/events | https://github.com/huggingface/transformers/pull/25086 | 1,820,598,445 | PR_kwDOCUB6oc5WWPwb | 25,086 | Generate: return `past_key_values` | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"This is a killer feature :+1: ",
"@gante Hi! Thanks for PR!\r\nDid you test feeding output past_key_values into .generate() method? Like take first 250 tokens input, run .generate(), get output past_key_values, take another 50 toke... | 1,690 | 1,702 | 1,698 | MEMBER | null | # What does this PR do?
Enables returning `past_key_values` from `generate`, if `return_dict_in_generate=True` (otherwise only the generated `input_ids` are returned) and `use_cache=True` (otherwise there is no cache to return ;) ).
In more abstract terms, this enables features like:
1. continuing a given genera... | {
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https://api.github.com/repos/huggingface/transformers/issues/25085 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25085/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25085/comments | https://api.github.com/repos/huggingface/transformers/issues/25085/events | https://github.com/huggingface/transformers/pull/25085 | 1,820,522,237 | PR_kwDOCUB6oc5WV_BY | 25,085 | [`TF`] Also apply patch to support left padding | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_25085). All of your documentation changes will be reflected on that endpoint."
] | 1,690 | 1,690 | 1,690 | COLLABORATOR | null | # What does this PR do?
Fixes red test on main GPTj test equivalence. Follows #24979 | {
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https://api.github.com/repos/huggingface/transformers/issues/25084 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25084/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25084/comments | https://api.github.com/repos/huggingface/transformers/issues/25084/events | https://github.com/huggingface/transformers/issues/25084 | 1,820,522,199 | I_kwDOCUB6oc5sgvbX | 25,084 | AttributeError: 'GenerationConfig' object has no attribute 'task_to_id' | {
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"Also cc @sanchit-gandhi since it comes from the audio course.",
"Can you link the full stacktrace if possible ? This might help us narrow it down faster.",
"+1 on the full stack-trace. It might require an update to your generation config since this is a fine-tuned checkpoint and the API was updated to take the... | 1,690 | 1,691 | 1,690 | NONE | null | ### System Info
I am following the [Audio course](https://huggingface.co/learn/audio-course/chapter5/asr_models#longform-transcription-and-timestamps) course and tried to perform translation using the automatic speech recognition pipeline but got a weird error.
Code:
```
from transformers import pipeline
asr =... | {
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https://api.github.com/repos/huggingface/transformers/issues/25083 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25083/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25083/comments | https://api.github.com/repos/huggingface/transformers/issues/25083/events | https://github.com/huggingface/transformers/pull/25083 | 1,820,478,951 | PR_kwDOCUB6oc5WV1jH | 25,083 | update `use_auth_token` -> `token` | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"In some training example script, (for example, `examples/tensorflow/contrastive-image-text/run_clip.py`) there are \r\n\r\n```python\r\n use_auth_token: bool = field(\r\n default=False,\r\n metadata={\r\n ... | 1,690 | 1,690 | 1,690 | COLLABORATOR | null | # What does this PR do?
Fix #25008
@sgugger This should be ready for a review. There are still a few places that use `use_auth_token`, but only during the calls to relevant methods.
I will change those calls to use `token` before merge. | {
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https://api.github.com/repos/huggingface/transformers/issues/25082 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25082/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25082/comments | https://api.github.com/repos/huggingface/transformers/issues/25082/events | https://github.com/huggingface/transformers/issues/25082 | 1,820,469,086 | I_kwDOCUB6oc5sgide | 25,082 | LLaMA Tokenizer does not compute word_ids | {
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"Hey! Thanks for reporting this. This seems to be related to the backend tokenizer, so most probably the `tokenizers` library. cc @Narsil if you have a quick idea, otherwise, I'll investigate",
"Oh it's simple.\r\n\r\nIt's just that what you call \"word\" doesn't exist for this tokenizer...\r\nA lot of tokenizers... | 1,690 | 1,690 | 1,690 | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.31.0.dev0
- Platform: Linux-4.18.0-477.10.1.el8_8.x86_64-x86_64-with-glibc2.28
- Python version: 3.9.7
- Huggingface_hub version: 0.14.1
- Safetensors version: 0.3.1
- PyTorch version (GPU?): 2.1.0.dev20230515+cu117 (True)
- Tensorflow version (GPU?): not installed (... | {
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https://api.github.com/repos/huggingface/transformers/issues/25081 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25081/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25081/comments | https://api.github.com/repos/huggingface/transformers/issues/25081/events | https://github.com/huggingface/transformers/pull/25081 | 1,820,418,224 | PR_kwDOCUB6oc5WVoZu | 25,081 | [`split_special_tokens`] Add support for `split_special_tokens` argument to encode | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,690 | 1,692 | 1,692 | COLLABORATOR | null | # What does this PR do?
Argument name is totally debatable. Will also require a pull request in `tokenizers`.
The goal is to be able to simply activate and de-activate the special token splitting. Feature was asked in #22490, and is required for some production type cases, where users pass inputs and we don't want t... | {
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https://api.github.com/repos/huggingface/transformers/issues/25080 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25080/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25080/comments | https://api.github.com/repos/huggingface/transformers/issues/25080/events | https://github.com/huggingface/transformers/pull/25080 | 1,820,296,958 | PR_kwDOCUB6oc5WVN_i | 25,080 | fix bug : add global_step when call self.lr_scheduler.step | {
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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... | 1,690 | 1,693 | 1,693 | NONE | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/25079 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25079/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25079/comments | https://api.github.com/repos/huggingface/transformers/issues/25079/events | https://github.com/huggingface/transformers/issues/25079 | 1,820,294,585 | I_kwDOCUB6oc5sf325 | 25,079 | Forget to put the global-step in lr scheduler in train.py | {
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"cc @pacman100 ",
"Hello, a minimal reproducer for this please. The checkpointing test loads back the correct lr: https://github.com/huggingface/accelerate/actions/runs/5651936442/job/15310803049#step:5:2259",
"> Hello, a minimal reproducer for this please. The checkpointing test loads back the correct lr: http... | 1,690 | 1,697 | 1,697 | NONE | null | ### System Info
- ` transformers` version: 4.30.2
- Platform: Linux-3.10.0-1160.83.1.el7.x86_64-x86_64-with-glibc2.35
- Python version: 3.10.6
- Huggingface_hub version: 0.15.1
- Safetensors version: 0.3.1
- PyTorch version (GPU?): 2.0.0 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax versio... | {
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https://api.github.com/repos/huggingface/transformers/issues/25078 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25078/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25078/comments | https://api.github.com/repos/huggingface/transformers/issues/25078/events | https://github.com/huggingface/transformers/pull/25078 | 1,820,172,996 | PR_kwDOCUB6oc5WUyoA | 25,078 | replace `per_gpu_eval_batch_size` with `per_device_eval_batch_size` in readme of multiple-choice task | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_25078). All of your documentation changes will be reflected on that endpoint."
] | 1,690 | 1,694 | 1,690 | CONTRIBUTOR | null | ### What does this PR do?
replace `per_gpu_eval_batch_size` with `per_device_eval_batch_size` in readme of multiple-choice task as the training arguments `per_gpu_*` is deprecated.
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [... | {
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https://api.github.com/repos/huggingface/transformers/issues/25077 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25077/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25077/comments | https://api.github.com/repos/huggingface/transformers/issues/25077/events | https://github.com/huggingface/transformers/pull/25077 | 1,820,099,126 | PR_kwDOCUB6oc5WUitT | 25,077 | [`PEFT`] Peft integration alternative design | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Mmmm, but know we can't do `model = AutoModelForCausalLM.from_pretrained(\"ybelkada/opt-350m-lora\")` despite the checkpoint having all the correct info to load the model (compared to the alternative PR). Can we still add the necessa... | 1,690 | 1,704 | 1,692 | CONTRIBUTOR | null | # What does this PR do?
From the offline discussion + the comments from @patrickvonplaten in https://github.com/huggingface/transformers/pull/24827#issuecomment-1641750464 I propose a new design for tightly integrating PEFT into transformers.
This integration enables loading any PEFT adapter that is saved locally ... | {
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https://api.github.com/repos/huggingface/transformers/issues/25076 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25076/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25076/comments | https://api.github.com/repos/huggingface/transformers/issues/25076/events | https://github.com/huggingface/transformers/issues/25076 | 1,820,091,573 | I_kwDOCUB6oc5sfGS1 | 25,076 | Evaluation resulting in "RuntimeError: Tensors must be contiguous". | {
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"You should debug the code to find which tensor PyTorch complains about and make sure you add the `contiguous` as requested.\r\n\r\nBut we could also make sure to add it in `gather` directly @muellerzr ",
"@notrichardren try running again, installing accelerate via `pip install git+https://github.com/huggingface/... | 1,690 | 1,690 | 1,690 | NONE | null | ### System Info
Copy-and-paste the text below in your GitHub issue and FILL OUT the two last points.
- `transformers` version: 4.31.0
- Platform: Linux-5.15.0-1037-aws-x86_64-with-glibc2.29
- Python version: 3.8.10
- Huggingface_hub version: 0.15.1
- Safetensors version: 0.3.1
- Accelerate version: 0.21.0
- A... | {
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https://api.github.com/repos/huggingface/transformers/issues/25075 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25075/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25075/comments | https://api.github.com/repos/huggingface/transformers/issues/25075/events | https://github.com/huggingface/transformers/pull/25075 | 1,820,088,185 | PR_kwDOCUB6oc5WUgVL | 25,075 | Set `TF32` flag for PyTorch cuDNN backend | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,690 | 1,690 | 1,690 | CONTRIBUTOR | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/25074 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25074/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25074/comments | https://api.github.com/repos/huggingface/transformers/issues/25074/events | https://github.com/huggingface/transformers/pull/25074 | 1,820,073,677 | PR_kwDOCUB6oc5WUdN3 | 25,074 | Fix: repeat per sample for SAM image embeddings | {
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"cc @younesbelkada since you added the model.",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_25074). All of your documentation changes will be reflected on that endpoint."
] | 1,690 | 1,690 | 1,690 | CONTRIBUTOR | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/25073 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25073/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25073/comments | https://api.github.com/repos/huggingface/transformers/issues/25073/events | https://github.com/huggingface/transformers/issues/25073 | 1,819,986,324 | I_kwDOCUB6oc5sesmU | 25,073 | Slow Tokenizer adds whitespace after special token | {
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"Hey! My first suggestion would be to not use the legacy behaviour by setting `legacy = False` when you initialize the tokenizer. \r\nSecond, the `txt_encoded == txt_encoded_decoded` assumption is not always true for all tokenizers. In this case, the decoding adds an extra space, maybe because it is based on the pr... | 1,690 | 1,707 | 1,707 | NONE | null | ### System Info
Python 3.10.6
Transformers 4.31.0
<class 'transformers.models.llama.tokenization_llama.LlamaTokenizer'>
### Who can help?
@ArthurZucker @younesbelkada
### Information
- [ ] The official example scripts
- [X] My own modified scripts
### Tasks
- [ ] An officially supported task i... | {
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https://api.github.com/repos/huggingface/transformers/issues/25072 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25072/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25072/comments | https://api.github.com/repos/huggingface/transformers/issues/25072/events | https://github.com/huggingface/transformers/pull/25072 | 1,819,918,244 | PR_kwDOCUB6oc5WT648 | 25,072 | [Docs] fix rope_scaling doc string | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,690 | 1,690 | 1,690 | CONTRIBUTOR | null | The `rope_scaling` supports *two* scaling strategies not three. | {
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https://api.github.com/repos/huggingface/transformers/issues/25071 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25071/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25071/comments | https://api.github.com/repos/huggingface/transformers/issues/25071/events | https://github.com/huggingface/transformers/issues/25071 | 1,819,894,446 | I_kwDOCUB6oc5seWKu | 25,071 | evaluation_strategy and eval_steps does not work | {
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"Please provide a reproducer we can execute. We do not have your `train_file` and `validation_file`.",
"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 foll... | 1,690 | 1,695 | 1,693 | NONE | null | ### System Info
- `transformers` version: 4.27.1
- Platform: Linux-4.15.0-200-generic-x86_64-with-debian-buster-sid
- Python version: 3.7.16
- Huggingface_hub version: 0.13.2
- PyTorch version (GPU?): 1.13.1+cu117 (True)
- Tensorflow version (GPU?): 2.4.0 (True)
- Flax version (CPU?/GPU?/TPU?): not installed (NA... | {
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https://api.github.com/repos/huggingface/transformers/issues/25070 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25070/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25070/comments | https://api.github.com/repos/huggingface/transformers/issues/25070/events | https://github.com/huggingface/transformers/issues/25070 | 1,819,786,262 | I_kwDOCUB6oc5sd7wW | 25,070 | Param grad None despite model training with requires_grad=True | {
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"cc @sanchit-gandhi since this is an audio model.",
"Hey @Remorax - the print statements you've added are in the forward pass of the model, where the gradients will always be zero. The gradients are only computed in the back prop, which is triggered once the forward pass is completed. Once the back propagation is... | 1,690 | 1,690 | 1,690 | NONE | null | ### System Info
- `transformers` version: 4.32.0.dev0
- Platform: Linux-3.10.0-1160.80.1.el7.x86_64-x86_64-with-glibc2.17
- 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 (False)
... | {
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https://api.github.com/repos/huggingface/transformers/issues/25069 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25069/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25069/comments | https://api.github.com/repos/huggingface/transformers/issues/25069/events | https://github.com/huggingface/transformers/issues/25069 | 1,819,640,842 | I_kwDOCUB6oc5sdYQK | 25,069 | Fast and normal tokenizer generate different output when handling consecutive spaces. | {
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"cc @ArthurZucker ",
"This seems to be pretty close to #24918. \r\nI don't know how they converted the fast tokenizer but it seems wrong. I suggest you open an issue at https://hf.co/openlm-research/open_llama_7b/discussions, as if you use the `huggyllama/llama-7b` model, you will not have this issue: \r\n\r\n```... | 1,690 | 1,693 | 1,693 | NONE | null | ### System Info
Transformer version: 4.29.2
### 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, ...)
- [ ] My own task or dataset (give details below)
### Repro... | {
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https://api.github.com/repos/huggingface/transformers/issues/25068 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25068/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25068/comments | https://api.github.com/repos/huggingface/transformers/issues/25068/events | https://github.com/huggingface/transformers/pull/25068 | 1,819,637,916 | PR_kwDOCUB6oc5WS-S2 | 25,068 | change vocab_size in deberta-v2 default config | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_25068). 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... | 1,690 | 1,693 | 1,693 | NONE | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/25067 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25067/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25067/comments | https://api.github.com/repos/huggingface/transformers/issues/25067/events | https://github.com/huggingface/transformers/pull/25067 | 1,819,493,115 | PR_kwDOCUB6oc5WSfFn | 25,067 | Fix broken link in README_hd.md | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,690 | 1,690 | 1,690 | CONTRIBUTOR | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/25066 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25066/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25066/comments | https://api.github.com/repos/huggingface/transformers/issues/25066/events | https://github.com/huggingface/transformers/pull/25066 | 1,819,467,505 | PR_kwDOCUB6oc5WSZo_ | 25,066 | fix: add TOC anchor link | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,690 | 1,690 | 1,690 | 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/25065 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25065/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25065/comments | https://api.github.com/repos/huggingface/transformers/issues/25065/events | https://github.com/huggingface/transformers/issues/25065 | 1,819,397,539 | I_kwDOCUB6oc5scc2j | 25,065 | llama2 training has nan | {
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"What are you setting as your `pad_token`? I was getting `nan` while running batched inference (see post [here](https://discuss.huggingface.co/t/llama2-pad-token-for-batched-inference/48020)) and am wondering if this might be related to your issue?",
"I set tokenizer.pad_token_id = 0, which is the same as llama1 ... | 1,690 | 1,702 | 1,694 | NONE | null | ### System Info
- `transformers` version: 4.31.0
- Platform: Linux-5.19.0-42-generic-x86_64-with-glibc2.35
- Python version: 3.9.16
- Huggingface_hub version: 0.14.1
- Safetensors version: 0.3.1
- Accelerate version: 0.21.0
- Accelerate config: - compute_environment: LOCAL_MACHINE
- distributed_type:... | {
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https://api.github.com/repos/huggingface/transformers/issues/25064 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25064/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25064/comments | https://api.github.com/repos/huggingface/transformers/issues/25064/events | https://github.com/huggingface/transformers/pull/25064 | 1,819,366,664 | PR_kwDOCUB6oc5WSDhR | 25,064 | Feature/forward | {
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https://api.github.com/repos/huggingface/transformers/issues/25063 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25063/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25063/comments | https://api.github.com/repos/huggingface/transformers/issues/25063/events | https://github.com/huggingface/transformers/issues/25063 | 1,819,325,953 | I_kwDOCUB6oc5scLYB | 25,063 | model.generate does not work when using a AlbertModel | {
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"I don't know what more you want me to say. As the error clearly states, this is not a model that supports `.generate`. ALBERT was trained on a masked language modeling objective so none of its variants are compatible with `.generate()`."
] | 1,690 | 1,690 | 1,690 | NONE | null | ### System Info
- `transformers` version: 4.31.0
- Platform: Linux-5.15.109+-x86_64-with-glibc2.35
- Python version: 3.10.6
- Huggingface_hub version: 0.16.4
- Safetensors version: 0.3.1
- Accelerate version: not installed
- Accelerate config: not found
- PyTorch version (GPU?): 2.0.1+cu118 (False)
- Tensorf... | {
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https://api.github.com/repos/huggingface/transformers/issues/25062 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25062/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25062/comments | https://api.github.com/repos/huggingface/transformers/issues/25062/events | https://github.com/huggingface/transformers/pull/25062 | 1,819,258,811 | PR_kwDOCUB6oc5WRsBY | 25,062 | GPTQ integration | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"> 2- Would it make sense to slowly \"deprecate\" the args load_in_4bit and load_in_8bit as it might lead to confusion for users (because technically you can do 4bit / 8bit with GPTQ as well) - not sure about the right approach here\r... | 1,690 | 1,691 | 1,691 | MEMBER | null | # What does this PR do?
This PR adds the possibility to perform GTPQ quantization with transformers model using [optimum](https://github.com/huggingface/optimum) library. The backend relies on [auto_gptq](https://github.com/PanQiWei/AutoGPTQ) library where we use `GTPQ` and `QuantLinear` class.
Here's the related [... | {
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https://api.github.com/repos/huggingface/transformers/issues/25061 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25061/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25061/comments | https://api.github.com/repos/huggingface/transformers/issues/25061/events | https://github.com/huggingface/transformers/pull/25061 | 1,819,256,856 | PR_kwDOCUB6oc5WRrlk | 25,061 | Generation refactor: new interface, new classes. | {
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"Hi @manueldeprada ๐ \r\n\r\nThank you for the proposal, but this PR adds further parameterization to `generate()`, and we want to go in the opposite direction whenever possible -- `.generate()` already has too many possible arguments. \r\n\r\nRelated to this PR: we are internally discussing how to refactor `.gene... | 1,690 | 1,699 | 1,693 | CONTRIBUTOR | null | ## Summary
This PR introduces an updated `generate()` interface for the Huggingface Transformers library. The update focuses on enhancing extensibility and enabling the explicit declaration of the generation strategy, while ensuring backward compatibility.
## Detailed Description
### Introducing the "generatio... | {
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"Hi @RajeshRadha Thank you for the feature request.\r\n\r\nAs @ArthurZucker mentioning to me, the repo. has reached 4K starts and 300 fork, it seems this is quite popular.\r\n\r\nWill leave our core maintainers @amyeroberts and @sgugger to see if this qualifies the model to be in `transformers` or we still prefer t... | 1,690 | 1,707 | 1,704 | NONE | null | ### Feature request
Support to Llava model in transformers? https://github.com/haotian-liu/LLaVA Similar to InstructBlip w/ connector module between image embeddings and LLM's
### Motivation
Llava is performing really well in MLLM related tasks and for folks to try out InstructBlip vs Llava models it makes it easier... | {
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https://api.github.com/repos/huggingface/transformers/issues/25059 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25059/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25059/comments | https://api.github.com/repos/huggingface/transformers/issues/25059/events | https://github.com/huggingface/transformers/pull/25059 | 1,818,924,956 | PR_kwDOCUB6oc5WQjXL | 25,059 | Fix `token` in auto classes | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_25059). All of your documentation changes will be reflected on that endpoint.",
"Good catch. I guess I have to deal with the internal usages of those `kwargs`",
"Yes, ideally we want to only use `token` everywhere now :-)... | 1,690 | 1,693 | 1,690 | COLLABORATOR | null | # What does this PR do?
Fix `token` in auto classes.
Fix #25008
We (me) should start to:
- add (some) explicit arguments to `from_pretrained` for auto classes
- (probably) clean-up the usage of `use_auth_token` even internally
But let's do this in separate PR(s), I promise. | {
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https://api.github.com/repos/huggingface/transformers/issues/25058 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25058/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25058/comments | https://api.github.com/repos/huggingface/transformers/issues/25058/events | https://github.com/huggingface/transformers/pull/25058 | 1,818,919,029 | PR_kwDOCUB6oc5WQiJI | 25,058 | Fix last models for common tests that are too big. | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,690 | 1,690 | 1,690 | COLLABORATOR | null | # What does this PR do?
This PR fixes the last batch of models that are too big for common tests. After it, only two classes override the common test to skip it:
- timm-backbone
- layoutlmv2
In the first case, it's because there is no timm model small enough to work (I did switch to the smallest resnet though) an... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,690 | 1,690 | 1,690 | CONTRIBUTOR | null | # What does this PR do?
1. Fixes https://github.com/huggingface/transformers/issues/25027 | {
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"_The documentation is not available anymore as the PR was closed or merged._",
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] | 1,690 | 1,690 | 1,690 | CONTRIBUTOR | null | # What does this PR do?
Attempt to fix IDEFICS failing CI as discussed offline @stas00 - more info coming soon
original PR: https://github.com/huggingface/transformers/pull/24796
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https://api.github.com/repos/huggingface/transformers/issues/25055 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25055/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25055/comments | https://api.github.com/repos/huggingface/transformers/issues/25055/events | https://github.com/huggingface/transformers/pull/25055 | 1,818,781,524 | PR_kwDOCUB6oc5WQD8D | 25,055 | [`RWKV`] Add note in doc on `RwkvStoppingCriteria` | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,690 | 1,690 | 1,690 | COLLABORATOR | null | # What does this PR do?
Given the usage of RWKV, decide to go with a tip in the doc rather than changing the `generate` and adding `RwkvStoppingCriteria` to the library. Adresses #23852 | {
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https://api.github.com/repos/huggingface/transformers/issues/25054 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25054/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25054/comments | https://api.github.com/repos/huggingface/transformers/issues/25054/events | https://github.com/huggingface/transformers/issues/25054 | 1,818,768,482 | I_kwDOCUB6oc5saDRi | 25,054 | removed_unused_columns = True deletes dataset for custom loss func | {
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"I did some further investigation and found that this dataset seems to work _if_ and only if you set remove_unused_columns = False in the training arguments.\r\n\r\n**It seems very odd that \"remove_unused_columns = True\" would result in the entire dataset being wiped, given that the features in the dataset are ['... | 1,690 | 1,690 | 1,690 | NONE | null | Feel free to see the[ second comment](https://github.com/huggingface/transformers/issues/25054#issuecomment-1648263249) directly. The original issue was on confusion for the training dataset seemingly not working -- I narrowed it down to the ```removed_unused_columns = True``` dataset deleting an entire dataset, which ... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Yes, currently everything is ignored"
] | 1,690 | 1,690 | 1,690 | COLLABORATOR | null | # What does this PR do?
Start a potential fix to #24179, ended up being releated to #24441, calling modifies the values of the underlying tokenizer, but never changes anything on the surface so will probably add some kind of warning in the documentation.
TLDR; adds the possibility of initialize a `PreTrainedToken... | {
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https://api.github.com/repos/huggingface/transformers/issues/25052 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25052/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25052/comments | https://api.github.com/repos/huggingface/transformers/issues/25052/events | https://github.com/huggingface/transformers/pull/25052 | 1,818,677,318 | PR_kwDOCUB6oc5WPtTe | 25,052 | MaskFormer - enable return_dict in order to compile | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"cc @merveenoyan who highlighted the compiling issue ๐ ",
"@sgugger Yep! I'll update that",
"@sgugger Most of the custom tests aren't easy to remove, unfortunately. As MaskFormer combines hidden states from different modules -- e... | 1,690 | 1,690 | 1,690 | COLLABORATOR | null | # What does this PR do?
Is was previously not possible to use `torch.compile` on Maskformer as some modules always returned a dataclass, instead of a tuple.
This PR adds a `return_dict` argument to these modules, which defaults to `True` to maintain the previous behaviour.
Tested with:
```python
import req... | {
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https://api.github.com/repos/huggingface/transformers/issues/25051 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25051/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25051/comments | https://api.github.com/repos/huggingface/transformers/issues/25051/events | https://github.com/huggingface/transformers/pull/25051 | 1,818,587,090 | PR_kwDOCUB6oc5WPZpA | 25,051 | Add ViTMatte | {
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"@sgugger apart from the toctree issue which I'm still investigating, all comments are addressed.\r\n\r\n",
"Before I start reviewing - could you separate out the addition of VitDet and VitMatte? They should have their own respective PRs. "
] | 1,690 | 1,693 | 1,693 | CONTRIBUTOR | null | # What does this PR do?
This PR adds the ViTMatte model, an elegant approach to image matting, entirely relying on the Vision Transformer backbone doing the heavy work, with a lightweight head on top.
Here's a Colab notebook showcasing inference: https://colab.research.google.com/drive/1pWTn3Iur-NR2xUIyDE31dBgng_... | {
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https://api.github.com/repos/huggingface/transformers/issues/25050 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25050/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25050/comments | https://api.github.com/repos/huggingface/transformers/issues/25050/events | https://github.com/huggingface/transformers/issues/25050 | 1,818,571,193 | I_kwDOCUB6oc5sZTG5 | 25,050 | Trainer does not properly read "label" column. | {
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"You are using a model which does not accept `labels` in its forward pass: `AutoModel` gives you the base model, it is only suitable to extract the last hidden state generated by the model, not for training.",
"By default, am I supposed to pass a model to Trainer that is able to accept \"labels\" in its forward p... | 1,690 | 1,692 | 1,692 | NONE | null | ### System Info
When I have a HuggingFace dataset with 'input_ids', 'attention_mask', and 'labels', the current HuggingFace Trainer does not properly read 'labels' and separate the labels from the inputs in the forward pass.
I also tried a 'label' (as opposed to 'labels') column and it does not work with this eit... | {
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https://api.github.com/repos/huggingface/transformers/issues/25049 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25049/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25049/comments | https://api.github.com/repos/huggingface/transformers/issues/25049/events | https://github.com/huggingface/transformers/pull/25049 | 1,818,525,506 | PR_kwDOCUB6oc5WPMQz | 25,049 | Better error message when signal is not supported on OS | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,690 | 1,690 | 1,690 | COLLABORATOR | null | # What does this PR do?
This PR adds a `try`/`except` block around the logic asking the user whether they want to execute the code on a distant repo when they don't set `trust_remote_code=True` to give a helpful error message.
Fixes #25029 | {
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https://api.github.com/repos/huggingface/transformers/issues/25048 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25048/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25048/comments | https://api.github.com/repos/huggingface/transformers/issues/25048/events | https://github.com/huggingface/transformers/pull/25048 | 1,818,524,881 | PR_kwDOCUB6oc5WPMH4 | 25,048 | [DOCS] add docstrings to TypicalLogitsWarper | {
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"@akshayamadhuri you probably need to run `make fixup` on your terminal and then commit the changes to make our CI happy :D "
] | 1,690 | 1,690 | 1,690 | NONE | null | # What does this PR do?
Added some doc string to TypicalLogitsWarper with some examples as well.
@gante let me know if there's anything else should be add or remove from the docs.
Fixes #24783
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Tests are green, merging!"
] | 1,690 | 1,690 | 1,690 | CONTRIBUTOR | null | # What does this PR do?
Fixes https://github.com/huggingface/transformers/issues/25011
Fixes https://github.com/huggingface/transformers/issues/25026
https://github.com/huggingface/transformers/pull/24095/ introduced a new check for retrieving the list of modules that are not needed to be quantized (e.g. LM head... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"(@SoyGema did a minor edit on the PR header: the word \"fixes\" before an issue number on a PR automatically closes the issue when the PR is merged)"
] | 1,690 | 1,690 | 1,690 | 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/25045 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25045/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25045/comments | https://api.github.com/repos/huggingface/transformers/issues/25045/events | https://github.com/huggingface/transformers/pull/25045 | 1,818,491,358 | PR_kwDOCUB6oc5WPEx- | 25,045 | Fix some bugs for two stage training of deformable detr | {
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"@jypjypjypjyp Thanks for opening this PR! Could you: share a minimal code snippet in the PR which triggers the errors on main and which this PR resolves? ",
"> @jypjypjypjyp Thanks for opening this PR! Could you: share a minimal code snippet in the PR which triggers the errors on main and which this PR resolves?... | 1,690 | 1,690 | 1,690 | CONTRIBUTOR | null | Hello @amyeroberts:
There are some issues encountered when training with the two-stage method using Deformable DETR, for which I have made modifications. | {
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https://api.github.com/repos/huggingface/transformers/issues/25044 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25044/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25044/comments | https://api.github.com/repos/huggingface/transformers/issues/25044/events | https://github.com/huggingface/transformers/pull/25044 | 1,818,470,611 | PR_kwDOCUB6oc5WPAM3 | 25,044 | compute_loss in trainer failing to label shift for PEFT model when label smoothing enabled. | {
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"No we cannot add this like that, as this is not a model that lives in Transformers.\r\ncc @younesbelkada ",
"@njbrake thanks for the PR, can you elaborate more on the label shifting issue? \r\nhttps://github.com/huggingface/transformers/blob/main/src/transformers/models/llama/modeling_llama.py#L832 should be aut... | 1,690 | 1,690 | 1,690 | CONTRIBUTOR | null | # What does this PR do?
When training LlamaForCausalLM with PEFT enabled, I noticed that the compute_loss function of the trainer with label_smoothing enabled was not shifting the labels. Further investigation found that `unwrap_model(model)._get_name()` returned "PeftModelForCausalLM", and the `MODEL_FOR_CAUSAL_LM_... | {
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https://api.github.com/repos/huggingface/transformers/issues/25043 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25043/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25043/comments | https://api.github.com/repos/huggingface/transformers/issues/25043/events | https://github.com/huggingface/transformers/issues/25043 | 1,818,464,047 | I_kwDOCUB6oc5sY48v | 25,043 | Can't Reproduce GLUE scores using official BERT implementation | {
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"The results you will get are very sensitive to the seed used.",
"Hi @sgugger , so it means that as long as I get the same results as on the huggingface README, my model is nearly identical to the paper, right?\r\nAlso a follow-up: in our paper we shall also include this score. Do you remember anyone ever reprodu... | 1,690 | 1,692 | 1,692 | NONE | null | ### System Info
- `transformers` version: 4.32.0.dev0
- Platform: Linux-5.15.0-1036-aws-x86_64-with-glibc2.31
- Python version: 3.9.16
- 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 (True)
- Ten... | {
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https://api.github.com/repos/huggingface/transformers/issues/25042 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25042/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25042/comments | https://api.github.com/repos/huggingface/transformers/issues/25042/events | https://github.com/huggingface/transformers/pull/25042 | 1,818,454,965 | PR_kwDOCUB6oc5WO8x4 | 25,042 | Generate - add beam indices output in contrained beam search | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,690 | 1,690 | 1,690 | MEMBER | null | # What does this PR do?
Fixes #25000
This PR adds the `beam_indices` output to constrained beam search, just like in the other beam methods. The changes are (mostly) copy-paste from beam search, and they pipe `beam_indices` all the way to the output.
Script for reproducibility (didn't work before, works after ... | {
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https://api.github.com/repos/huggingface/transformers/issues/25041 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25041/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25041/comments | https://api.github.com/repos/huggingface/transformers/issues/25041/events | https://github.com/huggingface/transformers/issues/25041 | 1,818,432,449 | I_kwDOCUB6oc5sYxPB | 25,041 | LlamaTokenizerFast report vocab_size info not correct | {
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"cc @ArthurZucker ",
"Hey! Sorry, the formatting of the issue is a bit strange I do not understand the problem. \r\nCould you try to reformulate the issue with a minimal reproducing script using a model path? ",
"OK , base_model=/models/WizardLM-13B-V1.0-Merged \r\n\r\n model = AutoModelForCausalLM.from_pre... | 1,690 | 1,693 | 1,693 | NONE | null | ### System Info
Linux
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or dataset (give details below)
### Reproduction
model = ... | {
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https://api.github.com/repos/huggingface/transformers/issues/25040 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25040/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25040/comments | https://api.github.com/repos/huggingface/transformers/issues/25040/events | https://github.com/huggingface/transformers/issues/25040 | 1,818,411,189 | I_kwDOCUB6oc5sYsC1 | 25,040 | Add ViTMatte model | {
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ViTMatte is a recently released model for alpha matting on images i.e. background removal.
The model accepts an input image and trimap (manually labelled grayscale image outlining the rough border of the foreground object) and predicts the alpha mate for each pixel.
It introduces a series... | {
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https://api.github.com/repos/huggingface/transformers/issues/25039 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25039/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25039/comments | https://api.github.com/repos/huggingface/transformers/issues/25039/events | https://github.com/huggingface/transformers/pull/25039 | 1,818,410,776 | PR_kwDOCUB6oc5WOzEC | 25,039 | Add test when downloading from gated repo | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@sgugger The fix is merged and deployed server-side so the test can now be added in `transformers` :)"
] | 1,690 | 1,690 | 1,690 | CONTRIBUTOR | null | Following PR after https://github.com/huggingface/transformers/pull/25034.
Goal is to add a test to check that accessing a gated repo raises a custom message for the user. Cannot be merged yet as the server returns "RepoNotFound" when user is not authenticated, even when it's a public gated repo. Once server implement... | {
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https://api.github.com/repos/huggingface/transformers/issues/25038 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25038/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25038/comments | https://api.github.com/repos/huggingface/transformers/issues/25038/events | https://github.com/huggingface/transformers/pull/25038 | 1,818,382,088 | PR_kwDOCUB6oc5WOsy- | 25,038 | Add dispatch_batches to training arguments | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_25038). All of your documentation changes will be reflected on that endpoint."
] | 1,690 | 1,690 | 1,690 | CONTRIBUTOR | null | # What does this PR do?
This PR adds the option to set `Accelerator`'s `dispatch_batches` argument through the `TrainingArguments`. This is needed in cases such as https://github.com/huggingface/transformers/issues/24999, when `dispatch_batches=False` is needed on the streaming dataset
Fixes # (issue)
Solves h... | {
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https://api.github.com/repos/huggingface/transformers/issues/25037 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25037/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25037/comments | https://api.github.com/repos/huggingface/transformers/issues/25037/events | https://github.com/huggingface/transformers/pull/25037 | 1,818,374,544 | PR_kwDOCUB6oc5WOrKn | 25,037 | Add offload support to Bark | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Why not leverage Accelerate here as is done in Diffusers pipeline? (cc @patrickvonplaten )",
"Hi @sgugger, thank you for taking part! \r\nDiffusers pipeline is using [`accelerate's cpu_offload`](https://github.com/huggingface/accel... | 1,690 | 1,690 | 1,690 | COLLABORATOR | null | # What does this PR do?
Bark is a TTS model recently added by #24086.
It is made of is of 4 main sub-models, which are sequentially called during generation (`BarkModel.generate`). When a sub-model is used, the other models remain unused, taking up a lot of space on the GPU.
This PR thus propose a simple, yet... | {
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https://api.github.com/repos/huggingface/transformers/issues/25036 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25036/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25036/comments | https://api.github.com/repos/huggingface/transformers/issues/25036/events | https://github.com/huggingface/transformers/issues/25036 | 1,818,214,248 | I_kwDOCUB6oc5sX79o | 25,036 | [BUG] RecursionError: maximum recursion depth exceeded when loading LLaMA-1 but success loading LLaMA-2 | {
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"I set a small recursion limit to 50 and I now got this trace back for loading LLaMA-1:\r\n```\r\n File \"/mnt/home//Open-Assistant/model/model_training/trainer_sft.py\", line 481, in <module>\r\n main()\r\n File \"/mnt/home//Open-Assistant/model/model_training/trainer_sft.py\", line 333, in main\r\n tokeni... | 1,690 | 1,699 | 1,695 | NONE | null | ### System Info
- `transformers` version: 4.31.0
- Platform: Linux-4.18.0-425.3.1.el8.x86_64-x86_64-with-glibc2.31
- Python version: 3.10.12
- 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 (True)
-... | {
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https://api.github.com/repos/huggingface/transformers/issues/25035 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25035/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25035/comments | https://api.github.com/repos/huggingface/transformers/issues/25035/events | https://github.com/huggingface/transformers/pull/25035 | 1,818,130,231 | PR_kwDOCUB6oc5WN1gh | 25,035 | fix(integrations): store serialized `TrainingArgs` to `wandb.config` without sanitization. | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,690 | 1,704 | 1,690 | CONTRIBUTOR | null | Allows resuming training runs when reusing the wandb config.
# What does this PR do?
Currently the `WandbLogger` uses the `to_sanitized_dict()` method in `TrainingArguments` to serialize the training hyperparameters. This converts nested objects and `NoneType` objects to `str` for safe serialization. However, u... | {
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https://api.github.com/repos/huggingface/transformers/issues/25034 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25034/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25034/comments | https://api.github.com/repos/huggingface/transformers/issues/25034/events | https://github.com/huggingface/transformers/pull/25034 | 1,818,084,947 | PR_kwDOCUB6oc5WNreU | 25,034 | Support GatedRepoError + use raise from | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@sgugger thanks for the review :)\r\nI made the requested change and updated another error message as well to use `token` instead of `use_auth_token` (the error message for generic `RepoNotFoundError`)"
] | 1,690 | 1,690 | 1,690 | CONTRIBUTOR | null | (PR started after comment from @osanseviero [on slack](https://huggingface.slack.com/archives/C03V11RNS7P/p1690185858721759?thread_ts=1689956871.406059&cid=C03V11RNS7P) -private link)
This PR adds 2 things:
- raise a more custom error in case of `GatedRepoError` when downloading a file. `GatedRepoError` is a subcla... | {
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https://api.github.com/repos/huggingface/transformers/issues/25033 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25033/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25033/comments | https://api.github.com/repos/huggingface/transformers/issues/25033/events | https://github.com/huggingface/transformers/pull/25033 | 1,818,042,103 | PR_kwDOCUB6oc5WNiF7 | 25,033 | [`logging.py`] set default `stderr` path if `None` | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Monkey patching globals like `sys.stdout` and `sys.stderr` is more of an emergency hack than a fix that libraries should be using. The proper way to handle Python windowed mode is to guard any direct usage of `sys.stderr` in `if sys.... | 1,690 | 1,690 | 1,690 | COLLABORATOR | null | # What does this PR do?
Attempt to fix #24047
Thanks to contributors, seems like the issue [is known](https://github.com/pyinstaller/pyinstaller/issues/7334#issuecomment-1357447176).
Though it is not entirely related to `transformers`, adding a safeguard seems like a good practice | {
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https://api.github.com/repos/huggingface/transformers/issues/25032 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25032/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25032/comments | https://api.github.com/repos/huggingface/transformers/issues/25032/events | https://github.com/huggingface/transformers/issues/25032 | 1,818,019,097 | I_kwDOCUB6oc5sXMUZ | 25,032 | Allow resuming of logging to WANDB with the Trainer | {
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"cc @parambharat who has done a lot of work on the Wandb integration",
"Hi @BramVanroy , Thanks for bringing this up. If I understood the issue correctly, you want to resume a wandb run while resuming training. There are two solutions I can think of that don't require changing `TrainingArguments`. Can you try the... | 1,690 | 1,692 | 1,692 | COLLABORATOR | null | ### Feature request
As far as I can tell, it is currently not possible to resume a training run and continue logging to the same run on WANDB when using the Trainer. The reason is that WANDB would [require](https://github.com/wandb/wandb/blob/a32638cb1c6ab775e9ed431d9a9b4b8a30685453/wandb/sdk/wandb_init.py#L1036-L10... | {
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https://api.github.com/repos/huggingface/transformers/issues/25031 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25031/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25031/comments | https://api.github.com/repos/huggingface/transformers/issues/25031/events | https://github.com/huggingface/transformers/pull/25031 | 1,818,014,116 | PR_kwDOCUB6oc5WNb-Z | 25,031 | Fix doctest | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,690 | 1,690 | 1,690 | COLLABORATOR | null | # What does this PR do?
Fix a doctest (that is recently added): precision issue | {
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https://api.github.com/repos/huggingface/transformers/issues/25030 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25030/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25030/comments | https://api.github.com/repos/huggingface/transformers/issues/25030/events | https://github.com/huggingface/transformers/pull/25030 | 1,817,994,455 | PR_kwDOCUB6oc5WNXvT | 25,030 | [`generate`] Only warn users if the `generation_config`'s `max_length` is set to the default value | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@sgugger as discussed on Slack with @ArthurZucker: `max_new_tokens` can't be used to set a default `generation_config` that works well out of the box -- `max_length` does. As such, let's adapt the warning to enable us (and the users)... | 1,690 | 1,690 | 1,690 | COLLABORATOR | null | # What does this PR do?
Updates the condition for raising a warning in generate to warn users if the `generation_config`'s `max_length` is set to the default value. | {
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https://api.github.com/repos/huggingface/transformers/issues/25029 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25029/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25029/comments | https://api.github.com/repos/huggingface/transformers/issues/25029/events | https://github.com/huggingface/transformers/issues/25029 | 1,817,828,264 | I_kwDOCUB6oc5sWduo | 25,029 | Bug in autotokenizer some open source models such as falcon. | {
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"Hey! Could you provide a full trace to know where the error come from?\r\nI cannot reproduce the error with the script you provided. Make sure you are using the latest version of transformers too! ",
"Thanks. \r\n\r\n
@younesbel... | {
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https://api.github.com/repos/huggingface/transformers/issues/25028 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25028/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25028/comments | https://api.github.com/repos/huggingface/transformers/issues/25028/events | https://github.com/huggingface/transformers/issues/25028 | 1,817,672,611 | I_kwDOCUB6oc5sV3uj | 25,028 | [docs] duplicate table of contents in perf_infer_gpu_one.mdx | {
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"I can't see this on the main branch, maybe this was fixed by the recent refactor of this guide?",
"Good catch! I don't think this [doc](https://huggingface.co/docs/transformers/main/en/perf_infer_gpu_one) was refactored in the recent PR (it was just moved), and I'm getting the same error on the `main` branch.\r\... | 1,690 | 1,690 | 1,690 | CONTRIBUTOR | null | ## Description
There are duplicate titles [**Requirements**] in `perf_infer_gpu_one.md` from line 51 and 117 causing an error occurs when moving the table of contents.
## Document / Language
`perf_infer_gpu_one.md` / en
## Suggestion
line 51
As is :
```### Requirements```
To be :
```### Requirement... | {
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https://api.github.com/repos/huggingface/transformers/issues/25027 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25027/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25027/comments | https://api.github.com/repos/huggingface/transformers/issues/25027/events | https://github.com/huggingface/transformers/issues/25027 | 1,817,488,181 | I_kwDOCUB6oc5sVKs1 | 25,027 | LIama-2 7B fine-tuning with DeepSpeed OOM error during loading the best model at end when `load_best_model_at_end` specified as True. | {
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"Hello, I'm able to run the following minimal example with any issues:\r\n\r\n```\r\nexport WANDB_DISABLED=\"true\"\r\nexport CUDA_VISIBLE_DEVICES=\"0,1\"\r\ncd transformers\r\ndeepspeed --num_nodes 1 --num_gpus 2 --master_port 10999 /home/sourab/transformers/examples/pytorch/language-modeling/run_clm.py --mode... | 1,690 | 1,690 | 1,690 | NONE | null | ### System Info
Hi Community!
I am using `run_clm.py` with `deepspeed` to fine-tune LIama 7B on `g5.12xlarge` EC2 instance (4 GPU, Total GPU memory 96 GB, vCPUs 48 with 192 GB).
* Transformer version: 4.28.1
* DeepSpeed version: 0.10.0 (lastest)
* Instance: `g5.12xlarge` EC2 instance (4 GPU, Total GPU memor... | {
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https://api.github.com/repos/huggingface/transformers/issues/25026 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25026/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25026/comments | https://api.github.com/repos/huggingface/transformers/issues/25026/events | https://github.com/huggingface/transformers/issues/25026 | 1,817,213,569 | I_kwDOCUB6oc5sUHqB | 25,026 | load_in_8bit=True broken with new transformers | {
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"cc @younesbelkada ",
"Hi @pseudotensor \r\nThanks for the issue and the clean reproducer, I can confirm the issue persists on the current main brach of transformers and does not occur with #25047 - once that PR merged your issue will be fixed\r\n\r\nAlso, there is no need to specify `load_in_8bit=True` and `devi... | 1,690 | 1,690 | 1,690 | NONE | null | ### System Info
- `transformers` version: 4.31.0
- Platform: Linux-5.4.0-150-generic-x86_64-with-glibc2.31
- Python version: 3.10.12
- Huggingface_hub version: 0.16.4
- Safetensors version: 0.3.1
- Accelerate version: 0.20.3
- Accelerate config: - compute_environment: LOCAL_MACHINE
- distributed_ty... | {
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https://api.github.com/repos/huggingface/transformers/issues/25025 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25025/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25025/comments | https://api.github.com/repos/huggingface/transformers/issues/25025/events | https://github.com/huggingface/transformers/issues/25025 | 1,817,191,483 | I_kwDOCUB6oc5sUCQ7 | 25,025 | KeyError: 'eval_loss' when doing LukeForMaskedLM | {
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"This example might need adjustments to be used on Luke, as the model has an API that is slightly different from BERT.",
"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 issue... | 1,690 | 1,693 | 1,693 | NONE | null | ### System Info
- `transformers` version: 4.30.2
- Platform: Linux-5.14.21-150400.24.55-default-x86_64-with-glibc2.31
- Python version: 3.10.10
- Huggingface_hub version: 0.16.4
- Safetensors version: 0.3.1
- PyTorch version (GPU?): 1.13.1+cu117 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax ve... | {
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https://api.github.com/repos/huggingface/transformers/issues/25024 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25024/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25024/comments | https://api.github.com/repos/huggingface/transformers/issues/25024/events | https://github.com/huggingface/transformers/issues/25024 | 1,817,158,547 | I_kwDOCUB6oc5sT6OT | 25,024 | Weights of BlipModel are not initialized from the model checkpoint | {
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"Also cc @ydshieh who was just discussing this internally :-)",
"Hi @Vibhu04 \r\nThanks for the issue, \r\nindeed there is a problem with `BlipModel` classes. Note that BlipModel would stand for the \"pre-trained\" versions of Blip to extract raw logits / hidden states from text and vision input. That class has b... | 1,690 | 1,690 | 1,690 | NONE | null | ### System Info
- `transformers` version: 4.31.0.dev0
- Platform: Linux-5.15.0-76-generic-x86_64-with-debian-bullseye-sid
- Python version: 3.7.15
- Huggingface_hub version: 0.15.1
- Safetensors version: 0.3.1
- PyTorch version (GPU?): 1.13.1+cu117 (True)
- Tensorflow version (GPU?): 2.11.0 (False)
- Flax ver... | {
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https://api.github.com/repos/huggingface/transformers/issues/25023 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25023/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25023/comments | https://api.github.com/repos/huggingface/transformers/issues/25023/events | https://github.com/huggingface/transformers/pull/25023 | 1,817,055,299 | PR_kwDOCUB6oc5WKUd6 | 25,023 | ๐ [i18n-KO] Translated `tokenizer_summary.md` to Korean | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_25023). All of your documentation changes will be reflected on that endpoint.",
"๋ฆฌ๋ทฐ๋ฅผ ๋จ๊ธฐ๊ณ submit์ ์ ํ์๋ค์ .. ใ
",
"> ๋ฆฌ๋ทฐ๋ฅผ ๋จ๊ธฐ๊ณ submit์ ์ ํ์๋ค์ .. ใ
\r\n\r\nใ
ใ
ใ
ใ
ใ
ใ
๋คํํ ์ง๊ธ ๋ฒ์ญ ์์ ์ค์ด๋ผ์ ํ์ธํ์ต๋๋ค!",
"> ๋์ฐ๋ ํญ์ ์๊ธฐ ์ฌ์ด ๋ง๋ก ๋ฒ์ญํด์ฃผ์
์ ์ข์์! ๊ฒ๋ค๊ฐ ์ด... | 1,690 | 1,695 | 1,695 | CONTRIBUTOR | null | <!-- PR์ ์ ๋ชฉ์ "๐ [i18n-KO] Translated `<your_file>.md` to Korean" ์ผ๋ก ๋ถํ๋๋ฆฝ๋๋ค -->
# What does this PR do?
Translated the `<tokenizer_summary>.md` file of the documentation to Korean.
Thank you in advance for your review.
Part of https://github.com/huggingface/transformers/issues/20179
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https://api.github.com/repos/huggingface/transformers/issues/25022 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25022/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25022/comments | https://api.github.com/repos/huggingface/transformers/issues/25022/events | https://github.com/huggingface/transformers/issues/25022 | 1,817,054,171 | I_kwDOCUB6oc5sTgvb | 25,022 | Incorrect padding_side Setting as 'left' in Llama Family Model | {
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"Hey! Indeed, as it was written in the documentation a padding token is required. Seems that by default the padding side is set to `left`. We cannot update the `tokenization` file (for backward compatibility reasons) but we can update the tokenizers online to make sure they use `padding_side = right` by default. ",... | 1,690 | 1,695 | 1,690 | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.30.2
- Platform: Linux-5.15.0-1041-azure-x86_64-with-glibc2.29
- Python version: 3.8.10
- Huggingface_hub version: 0.16.2
- Safetensors version: 0.3.1
### Who can help?
text models: @ArthurZucker and @younesbelkada generate: @gante
### Information
- [ ] The official ... | {
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https://api.github.com/repos/huggingface/transformers/issues/25021 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/25021/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/25021/comments | https://api.github.com/repos/huggingface/transformers/issues/25021/events | https://github.com/huggingface/transformers/issues/25021 | 1,817,030,907 | I_kwDOCUB6oc5sTbD7 | 25,021 | fp16 DDP training in 4.31.0 | {
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"Similar problem here. When using fp16 to train Llama2 with LoRA, always nan. Bf16 works well, but official Llama2 uses fp16.",
"Oh, I understand! It doesn't use the cuda.amp but uses accelerator to automatically handle the loss scale, right?\r\n\r\nAnd the reason why fp16's gradient is large is that they're scal... | 1,690 | 1,693 | 1,693 | NONE | null | ### System Info
pytorch 1.13.1
transformers==4.31.0
### Who can help?
Hi @sgugger ,
I used the 4.31.0 to train a Llama model with LoRA. I observe some problems with --fp16 training and I'm not sure if it is a bug in Trainer.py:
My model is like:
```
class MyModel(nn.Module):
def __init__(self, ... | {
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