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https://api.github.com/repos/huggingface/transformers/issues/28356 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28356/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28356/comments | https://api.github.com/repos/huggingface/transformers/issues/28356/events | https://github.com/huggingface/transformers/issues/28356 | 2,067,228,709 | I_kwDOCUB6oc57N2gl | 28,356 | [generation] Exact Search Decoding | {
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"FYI @gante ",
"Hi @Saibo-creator ๐ \r\n\r\nI'll do my usual bargain! I haven't seen demand for this feature, so my current decision is negative. However, if this comment reaches 10 reactions within a 3-month time spawn, I'll revisit this decision -- it means the community is interested in the feature ๐ \r\n\r\... | 1,704 | 1,704 | null | CONTRIBUTOR | null | ### Feature request
Hello Hugging Face Transformers Team,
I am writing to suggest a feature of an "exact search" decoding method, suggested in https://aclanthology.org/D19-1331/
Greedy search and beam search are both "greedy" in the sense that they are not guaranteed to find the global most likely generation.... | {
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"cc @Rocketknight1 ",
"Hi @srikant86panda, Mistral and Mixtral both use the LLaMA prompt format, which does not include a special token at the start of assistant responses. Instead, they enforce that all conversations must alternate user/assistant/user/assistant, and the assistant response is always written immed... | 1,704 | 1,704 | 1,704 | NONE | null | ### System Info
Version:
transformers: 4.36.1 and transformers @ git+https://github.com/huggingface/transformers.git@5d36025ca13d05151b7a0c761e90d429c4644a30
Tokenizer: tokenizers==0.15.0
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [ ] My own modified scripts... | {
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"@amyeroberts Hi back again with the test!\r\nMainly I added function called test_forward_auxiliary_loss. This will check if the two major components when the config.auxiliary_loss is set to True\r\n1. whether output of auxiliary loss is not None\r\n2. check the output len is equivalent to the num_hidden_layers - 1... | 1,704 | 1,704 | 1,704 | CONTRIBUTOR | null | # What does this PR do?
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Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
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"Hey! You should have a look at https://github.com/huggingface/tokenizers/issues/203 it's expected! ๐ค ",
"@ArthurZucker thanks for your help."
] | 1,704 | 1,705 | 1,705 | NONE | null | ### System Info
- `transformers` version: 4.33.0
- Platform: Windows-10-10.0.19045-SP0
- Python version: 3.10.12
- Huggingface_hub version: 0.16.4
- Safetensors version: 0.3.3
- Accelerate version: 0.22.0
- Accelerate config: not found
- PyTorch version (GPU?): 2.0.1+cpu (False)
- Tensorflow version (G... | {
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"cc @pacman100 ",
"# Reproduction Code\r\n```python\r\nfrom transformers import (\r\n TrainingArguments,\r\n Trainer,\r\n BertForSequenceClassification,\r\n BertTokenizer,\r\n)\r\nfrom datasets import load_dataset\r\nfrom transformers.utils import check_min_version\r\nfrom accelerate import __version_... | 1,704 | 1,708 | null | NONE | 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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# What does this PR do?
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"Hey! Sure, would you like to open a pr for a fix? "
] | 1,704 | 1,704 | 1,704 | CONTRIBUTOR | null | ### System Info
transformers 4.37.0.dev0
pytorch 2.1.2 py3.9_cuda11.8_cudnn8.7.0_0 pytorch
pytorch-cuda 11.8 h7e8668a_5 pytorch
pytorch-mutex 1.0 cuda pytorch
torchaudio 2.1.2 ... | {
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https://api.github.com/repos/huggingface/transformers/issues/28349 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28349/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28349/comments | https://api.github.com/repos/huggingface/transformers/issues/28349/events | https://github.com/huggingface/transformers/pull/28349 | 2,066,574,181 | PR_kwDOCUB6oc5jRa2k | 28,349 | Enhancing Code Readability and Maintainability with Simplified Activation Function Selection. | {
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Before submitting
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- ... | {
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"I think there is a draft PR here #26502 ans #27479, maybe working on sdpa might be better"
] | 1,704 | 1,707 | null | NONE | null | ```
model = AutoModelForCausalLM.from_pretrained(
my_GPT2LMHeadModel_checkpoint,
torch_dtype=torch.bfloat16,
attn_implementation="flash_attention_2",
)
```
throws the following error:
```
Error loading Flash_Model_2: GPT2LMHeadModel does not support Flash Attention 2.0 yet. Pl... | {
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"Hey ๐ค thanks for opening an issue! \r\nYou should check [for OOM ](https://stackoverflow.com/questions/624857/finding-which-process-was-killed-by-linux-oom-killer) issues and whether or not this is what crached your machine. If yes, you should try to use float16 or bfloat16 for training rather than full precisio... | 1,704 | 1,707 | 1,707 | NONE | null | ### System Info
- `transformers` version: 4.37.0.dev0
- Platform: Windows-10-10.0.19045-SP0
- Python version: 3.11.5
- Huggingface_hub version: 0.20.1
- Safetensors version: 0.4.0
- Accelerate version: 0.25.0
- Accelerate config: not found
- PyTorch version (GPU?): 2.1.2+cu121 (True)
- Tensorflow version ... | {
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"FYI @gante ",
"@Ayenem that's a really cool use of `sequence_bias`! I had read about token healing in the past, and never thought about it when I added `sequence_bias`.\r\n\r\nWould you be up for adding it to `transformers`? I think we could include it inside `generate` (e.g. [here](https://github.com/huggingfac... | 1,704 | 1,704 | null | NONE | null | ### Feature request
Token healing rectifies the token boundary bias in greedy tokenization. It does this by trimming and regrowing the prompt to better align with the model's tokenizer, thus enhancing generation quality. The improvement is clearest with completion models.
Token boundary bias is a silent performan... | {
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https://api.github.com/repos/huggingface/transformers/issues/28345 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28345/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28345/comments | https://api.github.com/repos/huggingface/transformers/issues/28345/events | https://github.com/huggingface/transformers/issues/28345 | 2,066,055,450 | I_kwDOCUB6oc57JYEa | 28,345 | Is there some bug in typehint in `modeling_outputs` (or maybe other files)? | {
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"Hey! I think that we used Tuple[X] when there can be N instances of X. I don't mind using ellipsis. \r\ncc @Rocketknight1 who is our type expert! ",
"@ArthurZucker Thank you for your reply! I am a new guy for type hint so I am not sure about the situation about the previous version (before Python 3.10) but in t... | 1,704 | 1,705 | 1,705 | NONE | null | ### System Info
Hi! When I tried to modify some code which calls some classes in `src/transformers/modeling_outputs.py` such as the class `BaseModelOutput` and `BaseModelOutputwithPast`, I find the typehint of some parameters is different from your comments and my understanding of the code. I believe the correct type ... | {
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https://api.github.com/repos/huggingface/transformers/issues/28344 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28344/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28344/comments | https://api.github.com/repos/huggingface/transformers/issues/28344/events | https://github.com/huggingface/transformers/issues/28344 | 2,065,985,520 | I_kwDOCUB6oc57JG_w | 28,344 | Problem in using H100 for LLAMA 70 b inference | {
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"How much memory does the H100 have? Note that you need 70 billion * 2 = 140GB of RAM to run the model in bfloat16.",
"Thanks, I have not thought that it is a problem caused by memory. I may seek to the help from other models.",
"This issue has been automatically marked as stale because it has not had recent ac... | 1,704 | 1,707 | 1,707 | NONE | null | ### System Info
Hi, I notice that I cannot access the LLAMA 2 70 B chat hf for running my response, and here is the bug:
```python
Traceback (most recent call last):
File "/workspace/demo_llama.py", line 27, in <module>
sequences = pipeline(
File "/opt/conda/lib/python3.10/site-packages/transformers/pip... | {
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https://api.github.com/repos/huggingface/transformers/issues/28343 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28343/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28343/comments | https://api.github.com/repos/huggingface/transformers/issues/28343/events | https://github.com/huggingface/transformers/issues/28343 | 2,065,575,304 | I_kwDOCUB6oc57Hi2I | 28,343 | How to log custom value? | {
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"Hey ๐ค thanks for opening an issue! We try to keep the github issues for bugs/feature requests.\r\nCould you ask your question on the [forum](https://discuss.huggingface.co/) instead? I'm sure the community will be of help!\r\n\r\nThanks!"
] | 1,704 | 1,704 | 1,704 | NONE | null | I want to log some info to `{'loss': 2.5234, 'learning_rate': 1.0344827586206896e-06, 'epoch': 0.0}`
how can i do that?
like: {'loss': 2.5234, 'learning_rate': 1.0344827586206896e-06, 'epoch': 0.0, 'version': 'v1'} | {
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https://api.github.com/repos/huggingface/transformers/issues/28342 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28342/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28342/comments | https://api.github.com/repos/huggingface/transformers/issues/28342/events | https://github.com/huggingface/transformers/issues/28342 | 2,065,481,107 | I_kwDOCUB6oc57HL2T | 28,342 | Switch Transformers Jitter Noise in Inference | {
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"Hey! Before I can help you, could provide an actual reproducer? \r\nThis one fails with `TypeError: The current model class (SwitchTransformersModel) is not compatible with `.generate()`, as it doesn't have a language model head. Please use one of the following classes instead: {'SwitchTransformersForConditionalGe... | 1,704 | 1,707 | 1,707 | NONE | null | ### System Info
- `transformers` version: 4.36.2
- Platform: Linux-5.15.0-1033-gkeop-x86_64-with-glibc2.17
- Python version: 3.8.18
- Huggingface_hub version: 0.20.1
- Safetensors version: 0.3.1
- Accelerate version: not installed
- Accelerate config: not found
- PyTorch version (GPU?): 2.1.2+cu121 (True)
- Te... | {
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https://api.github.com/repos/huggingface/transformers/issues/28341 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28341/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28341/comments | https://api.github.com/repos/huggingface/transformers/issues/28341/events | https://github.com/huggingface/transformers/pull/28341 | 2,065,393,894 | PR_kwDOCUB6oc5jNavK | 28,341 | fix FA2 when using quantization for remaining models | {
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"Done! @ArthurZucker ",
"CI is green now! @ArthurZucker ",
"Thanks for the contribution! FYI @pacman100 and @younesbelkada "
] | 1,704 | 1,704 | 1,704 | CONTRIBUTOR | null | # What does this PR do?
<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
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https://api.github.com/repos/huggingface/transformers/issues/28340 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28340/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28340/comments | https://api.github.com/repos/huggingface/transformers/issues/28340/events | https://github.com/huggingface/transformers/pull/28340 | 2,065,364,022 | PR_kwDOCUB6oc5jNUTf | 28,340 | Fix error in M4T feature extractor | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_28340). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"Hey @amyeroberts, thanks for the quick review and the relevant feedback, I've modi... | 1,704 | 1,704 | 1,704 | COLLABORATOR | null | # What does this PR do?
Really small PR that fixes an error when calling the SeamlessM4TFeatureExtractor without attention mask. I simply added a check to verify if the attention mask exists before operating on it. I've also modified the test suite to test this in the future.
cc @amyeroberts or @ArthurZucker ! WD... | {
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https://api.github.com/repos/huggingface/transformers/issues/28339 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28339/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28339/comments | https://api.github.com/repos/huggingface/transformers/issues/28339/events | https://github.com/huggingface/transformers/issues/28339 | 2,065,211,719 | I_kwDOCUB6oc57GKFH | 28,339 | Significantly increased VRAM usage for Mixtral qlora training compared to 4.36.2? | {
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"Hey! Thanks for the report, here are potential PRs that I would suspect: \r\n- #28142 which fixes some of the FA2 bugs\r\n- #28061 wich should fix gradient checkpointing issues\r\nPinging @younesbelkada for when he comes back, would be great if you can isolate the commit that lead to this in the meantime ๐ค ",
"... | 1,704 | 1,707 | 1,706 | NONE | null | ### System Info
The environment is a Runpod container with python 3.10, single A100 80gb, transformers 4.37.0dev (3cefac1d974db5e2825a0cb2b842883a628be7a0), using axolotl training script (https://github.com/OpenAccess-AI-Collective/axolotl).
### Who can help?
_No response_
### Information
- [ ] The official exampl... | {
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https://api.github.com/repos/huggingface/transformers/issues/28338 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28338/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28338/comments | https://api.github.com/repos/huggingface/transformers/issues/28338/events | https://github.com/huggingface/transformers/pull/28338 | 2,065,061,516 | PR_kwDOCUB6oc5jMTQX | 28,338 | fix pipeline to support tuple model output | {
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"Hi @amyeroberts . Thanks for your review. The default dataclass works well as you said. However, sometimes we would like to enable other optimization like `model = torch.jit.trace(model, inputs)` (which will get a significant acceleration in both GPU and CPU), and it can't recognize the dataclass, so I set `return... | 1,704 | 1,704 | 1,704 | CONTRIBUTOR | null | Hi @Narsil @amyeroberts .
This PR considers pipeline.model may output a tuple (if return_dict=False). Would you please help to review it? Thx!
Problem can be reproduced by
```python
from transformers import pipeline, AutoModel, AutoTokenizer
sentences = ["This is an example sentence", "Each sentence is conve... | {
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https://api.github.com/repos/huggingface/transformers/issues/28337 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28337/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28337/comments | https://api.github.com/repos/huggingface/transformers/issues/28337/events | https://github.com/huggingface/transformers/issues/28337 | 2,065,052,124 | I_kwDOCUB6oc57FjHc | 28,337 | Failure to produce exact input sequence from output logits | {
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"You should use the `generate` function. Otherwise I have no idea what model you are using, but this is expected: the model does not necessarily predict the token you give as an input. Assisted decoding relies on this property. \r\n\r\n```python\r\nprompt = \"Please provide a code sample that reproduces the\"\r\nf... | 1,704 | 1,704 | 1,704 | NONE | null | ### System Info
- `transformers` version: 4.35.2
- Platform: Linux-6.1.58+-x86_64-with-glibc2.35
- Python version: 3.10.12
- Huggingface_hub version: 0.20.1
- Safetensors version: 0.4.1
- Accelerate version: 0.25.0
- Accelerate config: not found
- PyTorch version (GPU?): 2.1.0+cu121 (True)
- Tensorflow versio... | {
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https://api.github.com/repos/huggingface/transformers/issues/28336 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28336/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28336/comments | https://api.github.com/repos/huggingface/transformers/issues/28336/events | https://github.com/huggingface/transformers/issues/28336 | 2,064,930,278 | I_kwDOCUB6oc57FFXm | 28,336 | Does m2m_100 support multiple forced_bos_token_id? | {
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"You should use `forced_decoder_ids` https://huggingface.co/docs/transformers/main_classes/text_generation#transformers.GenerationConfig.forced_decoder_ids ",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on ... | 1,704 | 1,707 | 1,707 | NONE | null | ```
generated_tokens = model.generate(input_ids = ids_tensor, attention_mask = attention_padded, forced_bos_token_id=[tokenizer.get_lang_id("es"),tokenizer.get_lang_id("fr")])
```
Seems above code will output the same language output. | {
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https://api.github.com/repos/huggingface/transformers/issues/28335 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28335/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28335/comments | https://api.github.com/repos/huggingface/transformers/issues/28335/events | https://github.com/huggingface/transformers/issues/28335 | 2,064,920,715 | I_kwDOCUB6oc57FDCL | 28,335 | Peft + gradient checkpointing crashes | {
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"hey! Could you try upgrading your torch version? 1.13.0 is a bit old. \r\ncc @younesbelkada ",
"@ArthurZucker -- I've updated to the latest pytorch but still face the issue",
"Alright, now you are using a remote model so would recommend you to open the issue on `https://huggingface.co/NousResearch/Yarn-Mistra... | 1,704 | 1,707 | 1,707 | NONE | null | ### System Info
>>> transformers.__version__
'4.37.0.dev0'
>>> peft.__version__
'0.7.2.dev0'
>>> torch.__version__
'1.13.0'
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [X] My own modified scripts
### Tasks
- [X] An officially supported task in the `examples` fold... | {
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"```diff\r\n+ inputs = processor(raw_image, input_points=input_points, return_tensors=\"pt\").to(torch.float32).to(\"mps\")\r\n- inputs = processor(raw_image, input_points=input_points, return_tensors=\"pt\").to(\"mps\")\r\n```\r\nwill fix this. \r\nI think this is more a mps issue as the conversion works well othe... | 1,704 | 1,704 | 1,704 | NONE | null | ### System Info
- `transformers` version: 4.36.2
- Platform: macOS-14.2.1-arm64-arm-64bit
- Python version: 3.10.13
- Huggingface_hub version: 0.20.0
- Safetensors version: 0.3.3
- Accelerate version: not installed
- Accelerate config: not found
- PyTorch version (GPU?): 2.1.0 (False)
- Tensorflow version (GPU... | {
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https://api.github.com/repos/huggingface/transformers/issues/28333 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28333/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28333/comments | https://api.github.com/repos/huggingface/transformers/issues/28333/events | https://github.com/huggingface/transformers/pull/28333 | 2,064,764,543 | PR_kwDOCUB6oc5jLVu6 | 28,333 | Fix `_merge_input_ids_with_image_features` for llava model | {
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"Adressed the comments and moved the dummy test case into proper tests.\r\nlet me know if you would like something more involved test wise!",
"Good to go ! Feel free to merge @VictorSanh ๐ค ",
"I am not cool enough to have merge access. The time where i am merging stuff whenever i wanted on hf transformers is w... | 1,704 | 1,706 | 1,704 | MEMBER | null | Bug detected by @Sakshi-Bhargava
The method `LlavaForConditionalGeneration._merge_input_ids_with_image_features` takes care of merging the input_embeds with the hidden states obtained from the vision encoder. The merge output is fed to the language model part of the model.
However, `labels` was omitted from the m... | {
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https://api.github.com/repos/huggingface/transformers/issues/28332 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28332/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28332/comments | https://api.github.com/repos/huggingface/transformers/issues/28332/events | https://github.com/huggingface/transformers/issues/28332 | 2,064,684,522 | I_kwDOCUB6oc57EJXq | 28,332 | Use mmap to accelerate checkpoint loading | {
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"Closing as the PR was merged"
] | 1,704 | 1,705 | 1,705 | CONTRIBUTOR | null | ### Feature request
Use torch.load(mmap=True) if possible.
### Motivation
Python 2.1 allows mmap() when loading checkpoints ([doc](https://pytorch.org/docs/stable/generated/torch.load.html))
I tested on a 6B model: with mmap(), takes 2.x seconds to load (vs 12.x seconds without using mmap)
### Your contr... | {
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https://api.github.com/repos/huggingface/transformers/issues/28331 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28331/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28331/comments | https://api.github.com/repos/huggingface/transformers/issues/28331/events | https://github.com/huggingface/transformers/pull/28331 | 2,064,682,839 | PR_kwDOCUB6oc5jLEMz | 28,331 | Use mmap option to load_state_dict | {
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"> torch bin files are now deprecated in favor of safetensors but no harm in improving this! Coul you add a test as well in test_modelling_common? ๐ค\r\n\r\nSure. Please let me know if my test case is correct.",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_28331). All... | 1,704 | 1,704 | 1,704 | CONTRIBUTOR | null | # Use torch.load(mmap=True) to accelerate checkpoint loading
https://github.com/huggingface/transformers/issues/28332
cc @SunMarc @sgugger
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https://api.github.com/repos/huggingface/transformers/issues/28330 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28330/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28330/comments | https://api.github.com/repos/huggingface/transformers/issues/28330/events | https://github.com/huggingface/transformers/issues/28330 | 2,064,444,622 | I_kwDOCUB6oc57DOzO | 28,330 | Error with BetterTransformer Optimizations in Transformers Library with Starcoderplus Model" | {
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"I think the idea is to remove the call to `model.to_bettertransformer()` and `with torch.backends.cuda.sdp_kernel(enable_flash=True, enable_math=False, enable_mem_efficient=False):` . The error should be updated to mention this! would you like to open a PR?",
"I'm sorry, I don't quite understand. What do you mea... | 1,704 | 1,704 | 1,704 | NONE | null | ### System Info
- `transformers` version: 4.36.2
- Platform: Linux-4.18.0-193.el8.x86_64-x86_64-with-glibc2.28
- Python version: 3.10.13
- Huggingface_hub version: 0.20.1
- Safetensors version: 0.4.1
- Accelerate version: 0.25.0
- Accelerate config: not found
- PyTorch version (GPU?): 2.1.2+cu118 (True)
- Ten... | {
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https://api.github.com/repos/huggingface/transformers/issues/28329 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28329/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28329/comments | https://api.github.com/repos/huggingface/transformers/issues/28329/events | https://github.com/huggingface/transformers/issues/28329 | 2,064,382,134 | I_kwDOCUB6oc57C_i2 | 28,329 | [TrOCR] Dealing with occasional multi-line images | {
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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... | 1,704 | 1,707 | null | NONE | null | Hi, I am using TrOCR to transcribe historical (18th century) handwritten French data.
I am feeding in text-line images which are automatically segmented. However, due to the nature of the documents, sometimes this segmentation is not perfect, and the image contains multiple lines of text. These have been transcribed... | {
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https://api.github.com/repos/huggingface/transformers/issues/28328 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28328/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28328/comments | https://api.github.com/repos/huggingface/transformers/issues/28328/events | https://github.com/huggingface/transformers/issues/28328 | 2,064,359,352 | I_kwDOCUB6oc57C5-4 | 28,328 | Implement Half-Quadratic Quantization (HQQ) | {
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"cc @younesbelkada ",
"This is very cool ! We are definitely interested in adding HQQ inference support in transformers. The cool thing is that indeed it seems you don't need to pre-quantize the weights in order to quantize the models. We'll explore a bit on our side and let you know how it goes\r\ncc @SunMarc @T... | 1,704 | 1,704 | null | CONTRIBUTOR | null | ### Feature request
I would be curious if https://github.com/mobiusml/hqq can be supported in similar fashion to `autogptq` or `autoawq`. hqq is most similar to `bitsandbytes` `nf4/fp4` datatypes, but offers 2,3,4,8 bit quantization.
CC: @mobicham
### Motivation
HQQ performs 2/3/4 bit quantization and can do ... | {
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https://api.github.com/repos/huggingface/transformers/issues/28327 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28327/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28327/comments | https://api.github.com/repos/huggingface/transformers/issues/28327/events | https://github.com/huggingface/transformers/issues/28327 | 2,064,215,480 | I_kwDOCUB6oc57CW24 | 28,327 | BARK: 'GenerationConfig' object has no attribute 'semantic_config' | {
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"cc @ylacombe as well. Seems like this should be supported from the doc, so might just be the generation config not being initialized properly. \r\nMaybe `model.generation_config = model.config` will fix this in the meantime @Cazforshort ",
"> model.generation_config = model.config\r\n\r\nNo luck\r\n\r\n```\r\nMO... | 1,704 | 1,707 | 1,707 | NONE | null | ### System Info
python 3.10.3
Windows 10
transformers 4.37.0.dev0
torch 2.0.1
### Who can help?
@sanchit-gandhi
### Information
- [ ] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ..... | {
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https://api.github.com/repos/huggingface/transformers/issues/28326 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28326/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28326/comments | https://api.github.com/repos/huggingface/transformers/issues/28326/events | https://github.com/huggingface/transformers/pull/28326 | 2,064,072,295 | PR_kwDOCUB6oc5jJAaB | 28,326 | Add the XPU device check for pipeline mode | {
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"Hey! Feel free to ping me for a review when this is ready! ",
"Hi @ArthurZucker,\r\nI tested the failed run_tests case in my local machine, but I got following warning. I think the case failure is not caused by my patch. Do you know how to run the case correctly? Thanks a lot.\r\n\r\n```\r\n(upstream) [yuanwu@s... | 1,704 | 1,705 | 1,705 | CONTRIBUTOR | null | When setting xpu device for pipeline, It needs to use is_torch_xpu_available to load ipex and determine whether the device is available.
# What does this PR do?
<!--
Congratulations! You've made it this far! You're not quite done yet though.
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https://api.github.com/repos/huggingface/transformers/issues/28325 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28325/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28325/comments | https://api.github.com/repos/huggingface/transformers/issues/28325/events | https://github.com/huggingface/transformers/pull/28325 | 2,064,055,311 | PR_kwDOCUB6oc5jI8tT | 28,325 | Remove token_type_ids from model_input_names (like #24788) | {
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"Thanks for the quick reply! \r\nI ran the following: \r\n\r\n```\r\nRUN_SLOW=yes python -m pytest -n auto --dist=loadfile -s -v ./tests/models/gpt_sw3/test_tokenization_gpt_sw3.py\r\n```\r\nIt did fail a test, namely an equality test where the reference output has token_type_ids.\r\n\r\nIt also (catastrophically) ... | 1,704 | 1,704 | 1,704 | CONTRIBUTOR | null | # What does this PR do?
<!--
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https://api.github.com/repos/huggingface/transformers/issues/28324 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28324/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28324/comments | https://api.github.com/repos/huggingface/transformers/issues/28324/events | https://github.com/huggingface/transformers/issues/28324 | 2,063,793,570 | I_kwDOCUB6oc57Av2i | 28,324 | FastTokenizer not using the user_defined_symbols defined in the SentencePiece Model | {
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"Additionally, is there a way to retrieve (and edit) the merge rules from \"slow\" & \"fast\" tokenizers respectively?",
"Hey! Few things here. What you are trying to do is outside the scope of the supported features. Adding a token should be done using `tokenizer.add_tokens` function. \r\nThe fast version is for... | 1,704 | 1,704 | 1,704 | NONE | null | ### System Info
- `transformers` version: 4.35.2
- Platform: Linux-6.1.58+-x86_64-with-glibc2.35
- Python version: 3.10.12
- Huggingface_hub version: 0.20.1
- Safetensors version: 0.4.1
- Accelerate version: 0.25.0
- Accelerate config: not found
- PyTorch version (GPU?): 2.1.0+cu121 (False)
- Tensorflow ver... | {
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"Hey ๐ค thanks for opening an issue! We try to keep the github issues for bugs/feature requests.\r\nCould you ask your question on the [dataset's community tab](https://huggingface.co/datasets/mehul7/captioned_military_aircraft/discussions) instead?\r\n\r\nThanks!",
"Can you please forward the issue there?\r\n\r... | 1,704 | 1,707 | 1,707 | NONE | null | ### System Info
RTX 3090
### Who can help?
@younesbelkada @ArthurZucker
### Information
- [ ] The official example scripts
- [X] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or dataset (give details bel... | {
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https://api.github.com/repos/huggingface/transformers/issues/28321 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28321/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28321/comments | https://api.github.com/repos/huggingface/transformers/issues/28321/events | https://github.com/huggingface/transformers/pull/28321 | 2,063,466,908 | PR_kwDOCUB6oc5jG4tl | 28,321 | support PeftMixedModel signature inspect | {
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"cc @younesbelkada ",
"@younesbelkada Thanks for the suggestion, I've pushed the changes!",
"@Facico can you confirm the latest commit on this branch fixes your issue?",
"Yes, They all work. @younesbelkada ",
"@younesbelkada How do I pass the tests_exotic_models?",
"Rebasing on main should help! ",
"Yes... | 1,704 | 1,706 | 1,706 | CONTRIBUTOR | null | support PeftMixedModel signature inspect
Use model.base_model.model to get the base model(PeftMixedModel don't have "get_base_model" attribute) | {
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https://api.github.com/repos/huggingface/transformers/issues/28320 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28320/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28320/comments | https://api.github.com/repos/huggingface/transformers/issues/28320/events | https://github.com/huggingface/transformers/issues/28320 | 2,063,466,171 | I_kwDOCUB6oc56_f67 | 28,320 | Unable to Resume Training from LoRA Checkpoints When Using FSDP | {
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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... | 1,704 | 1,707 | 1,707 | NONE | null | ### System Info
transformers==4.35.2
accelerate==0.23.0
peft==0.5.0
`accelerate.yaml`
```yaml
compute_environment: LOCAL_MACHINE
distributed_type: FSDP
downcast_bf16: 'no'
fsdp_config:
fsdp_auto_wrap_policy: TRANSFORMER_BASED_WRAP
fsdp_backward_prefetch_policy: BACKWARD_PRE
fsdp_forward_prefetch... | {
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https://api.github.com/repos/huggingface/transformers/issues/28322 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28322/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28322/comments | https://api.github.com/repos/huggingface/transformers/issues/28322/events | https://github.com/huggingface/transformers/issues/28322 | 2,063,497,821 | I_kwDOCUB6oc56_npd | 28,322 | Unclear Tokenizer Algorithm Documentation | {
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"Hey! Thanks for raising this issue. Do you want to open a PR for a fix? ๐ค ",
"Hey! Thanks for the swift response.\r\n\r\nI'm still rather new and am actually confused about what the \"slow\" & \"fast\" Tokenizers are based on... (I don't really understand why one is based on \"sentencepiece\" and the other is b... | 1,704 | 1,707 | 1,707 | NONE | null | **Bug description.**
In the docs, for example for [NLLB ](https://huggingface.co/docs/transformers/model_doc/nllb), the "slow" & "fast" tokenizers are documented to be based on SentencePiece & BPE respectively.
I do think that is a little confusing as:
- Saying that the "slow" tokenizer is based on SentencePiece, ... | {
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https://api.github.com/repos/huggingface/transformers/issues/28319 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28319/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28319/comments | https://api.github.com/repos/huggingface/transformers/issues/28319/events | https://github.com/huggingface/transformers/issues/28319 | 2,063,383,696 | I_kwDOCUB6oc56_LyQ | 28,319 | Allow gradient for generate() | {
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"The reason is that generate is for inference only, training requires a custom sampling logic ",
"> The reason is that generate is for inference only, training requires a custom sampling logic\r\n\r\nThank you for the quick reply.\r\n\r\nHowever, what if I would just like to use the existing sampling algorithms f... | 1,704 | 1,704 | null | NONE | null | ### Feature request
The generate function is decorated with @torch.no_grad() and thus can't be used for model training. It would be better to make calculating gradients optional, rather than impossible, so that the function can be used for tuning. The simplest solution is to remove the decorator altogether, as users... | {
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https://api.github.com/repos/huggingface/transformers/issues/28318 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28318/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28318/comments | https://api.github.com/repos/huggingface/transformers/issues/28318/events | https://github.com/huggingface/transformers/pull/28318 | 2,063,361,670 | PR_kwDOCUB6oc5jGhBh | 28,318 | Port MPT to Flax | {
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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... | 1,704 | 1,706 | null | NONE | null | # What does this PR do?
This PR adds flax implementation of MPT to transformers
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/main/CONTRIB... | {
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https://api.github.com/repos/huggingface/transformers/issues/28317 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28317/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28317/comments | https://api.github.com/repos/huggingface/transformers/issues/28317/events | https://github.com/huggingface/transformers/issues/28317 | 2,063,291,731 | I_kwDOCUB6oc56-1VT | 28,317 | Simple Bug in modeling_attn_mask_utils.py | {
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"Makes sense, would you like to open a PR for the fix? ๐ค ",
"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://g... | 1,704 | 1,707 | 1,707 | NONE | null | ### System Info
(torch) (base) anxiang.zhang@n214-176-142:~/DeepSeek-Coder$ transformers-cli env
WARNING:tensorflow:From /data02/home/anxiang.zhang/miniconda3/envs/torch/lib/python3.10/site-packages/transformers/commands/env.py:100: is_gpu_available (from tensorflow.python.framework.test_util) is deprecated and will ... | {
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https://api.github.com/repos/huggingface/transformers/issues/28316 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28316/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28316/comments | https://api.github.com/repos/huggingface/transformers/issues/28316/events | https://github.com/huggingface/transformers/issues/28316 | 2,063,015,679 | I_kwDOCUB6oc569x7_ | 28,316 | Pythia regression in transformers==4.36.2 vs transformers==4.30.1 | {
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"Sorry but the source of the regression might be pretty much anything. If the model supports SDPA, it can come from SDPA, if the tokenizer had a bug before, it might be the tokenizer etc etc\r\nI can't debug this as is, would you mind comparing with closer transformers releases? This might help isolating this but o... | 1,704 | 1,705 | 1,705 | CONTRIBUTOR | null | ### System Info
Happy New Year all!
- `transformers` version: 4.36.2
- Platform: Linux-5.15.0-1049-aws-x86_64-with-glibc2.31
- Python version: 3.10.12
- Huggingface_hub version: 0.19.4
- Safetensors version: 0.3.1
- Accelerate version: 0.25.0
- Accelerate config: not found
- PyTorch version (GPU?): 2.... | {
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https://api.github.com/repos/huggingface/transformers/issues/28315 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28315/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28315/comments | https://api.github.com/repos/huggingface/transformers/issues/28315/events | https://github.com/huggingface/transformers/pull/28315 | 2,062,918,444 | PR_kwDOCUB6oc5jFCq6 | 28,315 | Accelerate support added to Object Detection & Segmentation Models | {
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"Hey @sam99dave were you waiting for a review? ",
"Yeah, I was waiting for one. Not sure if these required changes has already been merged by another PR. There was another PR for this which was being reviewed I think.\n\nPls, let me know on this.",
"Seems like #28312 was already approved, but is getting stale. ... | 1,704 | 1,707 | null | NONE | null | # What does this PR do?
<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
Then, please replace this w... | {
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https://api.github.com/repos/huggingface/transformers/issues/28314 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28314/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28314/comments | https://api.github.com/repos/huggingface/transformers/issues/28314/events | https://github.com/huggingface/transformers/issues/28314 | 2,062,892,647 | I_kwDOCUB6oc569T5n | 28,314 | Whisper OpenBLAS Warnings when running Whisper Inference on aarch64 cpu | {
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"It seems like OpenBlas is at fault here no? I ran your code and had no warning whatsoever (on a M3). https://github.com/OpenMathLib/OpenBLAS might need to be built with USE_OPENMP=1.\r\n",
"Okay let me run it in a python virtual env (not docker) on the same machine and see if the issue goes away. You ran it in t... | 1,704 | 1,707 | 1,707 | NONE | null | ### System Info
- `transformers` version: 4.36.2
- Platform: Linux-5.10.76-linuxkit-aarch64-with-glibc2.31
- Python version: 3.9.18
- Huggingface_hub version: 0.20.1
- Safetensors version: 0.4.1
- Accelerate version: not installed
- Accelerate config: not found
- PyTorch version (GPU?): 2.1.2 (False)
- Tenso... | {
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https://api.github.com/repos/huggingface/transformers/issues/28313 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28313/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28313/comments | https://api.github.com/repos/huggingface/transformers/issues/28313/events | https://github.com/huggingface/transformers/pull/28313 | 2,062,888,887 | PR_kwDOCUB6oc5jE8bf | 28,313 | README: install transformers from conda-forge channel | {
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"@ArthurZucker I appreciate your review!\r\n\r\n> we should probably link @LysandreJik comment from the issue\r\n\r\n\"In the future we'll likely remove the huggingface channel support for conda unless we see explicit demand here; if that's the case, please put a thumbs up here (we'll monitor), otherwise, the conda... | 1,704 | 1,704 | 1,704 | CONTRIBUTOR | null | # What does this PR do?
Switch to the conda-forge channel for transformer installation, as the huggingface channel does not offer the latest version.
Fixes #28248
## 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... | {
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https://api.github.com/repos/huggingface/transformers/issues/28312 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28312/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28312/comments | https://api.github.com/repos/huggingface/transformers/issues/28312/events | https://github.com/huggingface/transformers/pull/28312 | 2,062,884,738 | PR_kwDOCUB6oc5jE7kW | 28,312 | Support : Leverage Accelerate for object detection/segmentation models | {
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"Hi, thanks for your PR. It looks like there's an issue with the segmentation models.",
"@NielsRogge could you take a look at this PR again . I have made required changes for segmentation models.",
"Thanks, LGTM.",
"hey @amyeroberts removed conflicts .but whenever I tried to run test cases by `RUN_SLOW=1 pyte... | 1,704 | 1,708 | 1,708 | CONTRIBUTOR | null | # What does this PR do?
Adding support for multi-GPU training in 6 object detection models and segmentation models.
<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great ti... | {
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https://api.github.com/repos/huggingface/transformers/issues/28311 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28311/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28311/comments | https://api.github.com/repos/huggingface/transformers/issues/28311/events | https://github.com/huggingface/transformers/pull/28311 | 2,062,676,245 | PR_kwDOCUB6oc5jEPCF | 28,311 | Bump tj-actions/changed-files from 22.2 to 41 in /.github/workflows | {
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"fyi @ydshieh "
] | 1,704 | 1,704 | 1,704 | CONTRIBUTOR | null | Bumps [tj-actions/changed-files](https://github.com/tj-actions/changed-files) from 22.2 to 41.
<details>
<summary>Release notes</summary>
<p><em>Sourced from <a href="https://github.com/tj-actions/changed-files/releases">tj-actions/changed-files's releases</a>.</em></p>
<blockquote>
<h2>v41</h2>
<h1>Changes in v41.0.1<... | {
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"me too",
"Hey! I think that a conversion is attempted between pt and tf, but transformers does not support a TF implementation of this model. Could you rather open an issue on the `TensorRT-LLM` library with a full reproducer of what you are trying to do and the full stacktrace ",
"> Hey! I think that a conver... | 1,704 | 1,705 | 1,705 | NONE | null | OSError: Unable to load weights from pytorch checkpoint file for '/root/autodl-tmp/llama-2-7b/pytorch_model-00001-of-00002.bin' at '/root/autodl-tmp/llama-2-7b/pytorch_model-00001-of-00002.bin'. If you tried to load a PyTorch model from a TF 2.0 checkpoint
Why do I get an error when I use TensorRT-LLMโs build.py to ... | {
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https://api.github.com/repos/huggingface/transformers/issues/28309 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28309/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28309/comments | https://api.github.com/repos/huggingface/transformers/issues/28309/events | https://github.com/huggingface/transformers/issues/28309 | 2,062,445,501 | I_kwDOCUB6oc567mu9 | 28,309 | Leverage Accelerate for object detection/segmentation models | {
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"Hi @NielsRogge, I would like to take this up",
"Hi @NielsRogge is this open for just 1 person taking it up as @sam99dave already indicated or multiple contribution? If it is the latter, I can take one of this up.",
"Hi, it looks like the PRs above addressed all models at once, which is fine for me.",
"Closin... | 1,704 | 1,708 | 1,708 | CONTRIBUTOR | null | ### Feature request
Currently there are 6 object detection models which don't support multi-GPU training out-of-the-box. The distributed code was explicitly left out of the modeling code as they wouldn't be compatible with the Trainer API. Refer to [these lines of code](https://github.com/huggingface/transformers/bl... | {
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https://api.github.com/repos/huggingface/transformers/issues/28308 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28308/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28308/comments | https://api.github.com/repos/huggingface/transformers/issues/28308/events | https://github.com/huggingface/transformers/issues/28308 | 2,062,380,948 | I_kwDOCUB6oc567W-U | 28,308 | [Trainer] rename tokenizer to tokenizer_or_processor | {
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"fyi @pacman100 and @muellerzr ๐ค "
] | 1,704 | 1,704 | null | NONE | null | ### Feature request
I suggest renaming the `tokenizer` parameter in **Trainer** to `tokenizer_or_processor`.
### Motivation
In the future, the training of many **multimodal models** will certainly require the use of **Trainer**. However, in multimodal models, the processors used to process data are not just `... | {
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https://api.github.com/repos/huggingface/transformers/issues/28307 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28307/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28307/comments | https://api.github.com/repos/huggingface/transformers/issues/28307/events | https://github.com/huggingface/transformers/issues/28307 | 2,062,271,457 | I_kwDOCUB6oc5668Ph | 28,307 | Can not find best model after training. | {
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"Hey, could you share the training command you used? (a reproducer for training) as well as the full traceback? ๐ค \r\n",
"> `Could not locate the best model at whisper-large-v2-fil/checkpoint-2000/pytorch_model.bin, if you are running a distributed training on multiple nodes, you should activate `--save_on_each_... | 1,704 | 1,706 | null | NONE | null | ### System Info
- `transformers` version: 4.36.2
- Platform: Linux-5.15.0-91-generic-x86_64-with-glibc2.31
- Python version: 3.10.11
- Huggingface_hub version: 0.20.1
- Safetensors version: 0.4.1
- Accelerate version: 0.25.0
- Accelerate config: not found
- PyTorch version (GPU?): 2.0.1 (True)
- Tensorflow ve... | {
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https://api.github.com/repos/huggingface/transformers/issues/28306 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28306/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28306/comments | https://api.github.com/repos/huggingface/transformers/issues/28306/events | https://github.com/huggingface/transformers/issues/28306 | 2,062,055,346 | I_kwDOCUB6oc566Hey | 28,306 | LLaMA-MoE | {
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LLaMA-MoE is a series of token-choice based Mixture-of-Experts models on LLaMA2. It first partition LLaMA2's FFNs into multiple experts, then apply continual pre-training to recover its language abilities.
We believe LLaMA-MoE is a good start for MoE research under limited computing resources.... | {
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https://api.github.com/repos/huggingface/transformers/issues/28305 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28305/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28305/comments | https://api.github.com/repos/huggingface/transformers/issues/28305/events | https://github.com/huggingface/transformers/issues/28305 | 2,061,979,932 | I_kwDOCUB6oc5651Ec | 28,305 | What version of transfomers _make_causal_mask was moved from modeling_clip.py | {
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"@bhosalems you will find them [here](https://github.com/huggingface/transformers/blob/6ea3ee3cd215dfe0b32034299da3f876af0e7c4e/src/transformers/models/clip/modeling_clip.py) so you will probably need this version of the [transformers library](https://github.com/huggingface/transformers/releases/tag/v4.32.0) : v4.3... | 1,704 | 1,707 | 1,707 | NONE | null | ### System Info
Name: transformers
Version: 4.28.0
Summary: State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow
Home-page: https://github.com/huggingface/transformers
Author: The Hugging Face team (past and future) with the help of all our contributors (https://github.com/huggingface/transformers/g... | {
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https://api.github.com/repos/huggingface/transformers/issues/28304 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28304/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28304/comments | https://api.github.com/repos/huggingface/transformers/issues/28304/events | https://github.com/huggingface/transformers/issues/28304 | 2,061,854,640 | I_kwDOCUB6oc565Wew | 28,304 | Using LLaMA2 fast tokenizer gives zero loss | {
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"BTW similar issue seems to happen on mistral as well. Training on the same data, non-fast tokenizer gives ~1 loss while fast tokenizer gives > 10 loss.",
"There are know issues with LlamaFast tokenizer, could you try with this: #26678 \r\n\r\n```python\r\nfrom tokenizers import pre_tokenizers, normalizers\r\nfro... | 1,704 | 1,707 | 1,707 | NONE | null | ### System Info
- `transformers` version: 4.36.2
- Platform: Linux-6.2.0-37-generic-x86_64-with-glibc2.35
- Python version: 3.10.12
- Huggingface_hub version: 0.20.1
- Safetensors version: 0.4.1
- Accelerate version: 0.25.0
- Accelerate config: not found
- PyTorch version (GPU?): 2.0.1 (True)
- Tensorflow... | {
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https://api.github.com/repos/huggingface/transformers/issues/28303 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28303/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28303/comments | https://api.github.com/repos/huggingface/transformers/issues/28303/events | https://github.com/huggingface/transformers/pull/28303 | 2,061,812,235 | PR_kwDOCUB6oc5jBXAb | 28,303 | Enable the use of batch api using multiple speakers with Bark | {
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"> Hi @MidAtBest, thanks for taking care of this, this is a great PR! The logic is quite difficult so congrats on handling it so nicely !\r\n> \r\n> Two general comments:\r\n> \r\n> 1. you should add test for bark modeling code as well !\r\n> 2. it's best to stay with `voice_preset` instead of `voice_presets`.\r\n>... | 1,704 | 1,707 | null | NONE | null | # What does this PR do?
This PR aims to enable the use of the batch API when using multiple speaker prompts for Bark.
Currently, the batch API is available when using multiple text inputs but is limited to a single speaker. The objective of this PR is to enable this when multiple speaker prompts are being used. T... | {
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https://api.github.com/repos/huggingface/transformers/issues/28302 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28302/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28302/comments | https://api.github.com/repos/huggingface/transformers/issues/28302/events | https://github.com/huggingface/transformers/pull/28302 | 2,061,630,391 | PR_kwDOCUB6oc5jAwso | 28,302 | Add models from deit | {
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"@stevhliu",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_28302). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | 1,704 | 1,706 | 1,706 | CONTRIBUTOR | null | # What does this PR do?
<!--
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https://api.github.com/repos/huggingface/transformers/issues/28301 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28301/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28301/comments | https://api.github.com/repos/huggingface/transformers/issues/28301/events | https://github.com/huggingface/transformers/issues/28301 | 2,061,629,952 | I_kwDOCUB6oc564foA | 28,301 | [i18n-en] Translating docs to Japanese | {
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"@stevhliu would you add the more models here in the list so other can look at this issue and collaborate?"
] | 1,704 | 1,706 | null | CONTRIBUTOR | null | Hi!
Let's bring the documentation to all the Japanese-speaking community ๐
Who would want to translate? Please follow the ๐ค [TRANSLATING guide](https://github.com/huggingface/transformers/blob/main/docs/TRANSLATING.md). Here is a list of the files ready for translation. Let us know in this issue if you'd like ... | {
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https://api.github.com/repos/huggingface/transformers/issues/28300 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28300/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28300/comments | https://api.github.com/repos/huggingface/transformers/issues/28300/events | https://github.com/huggingface/transformers/issues/28300 | 2,061,626,878 | I_kwDOCUB6oc564e3- | 28,300 | [Question]Why ther exist a big gap in evaluation step and actual inference test? | {
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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... | 1,704 | 1,706 | null | NONE | null | Hello!
Sorry for noob question. I am doing lora fine tuning based on llama-2-13B model. I am adjusting my model using metric "BLEU".
While training, my BLEU score shows incredibly high which is much higher than i expected. For example, evaluation bleu for my model scores about 98 scores which is unbelievable like in ... | {
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https://api.github.com/repos/huggingface/transformers/issues/28299 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28299/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28299/comments | https://api.github.com/repos/huggingface/transformers/issues/28299/events | https://github.com/huggingface/transformers/pull/28299 | 2,061,608,325 | PR_kwDOCUB6oc5jAr-1 | 28,299 | Remove shell=True from subprocess.Popen to Mitigate Security Risk | {
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"I do agree this is better to remove shell access to this command line. I don't think however this is critical by any means since this is already a CLI utility which we do not leverage directly.",
"@michaelbenayoun @amyeroberts \r\n",
"@Narsil @michaelbenayoun @amyeroberts Good to know it's not critical. Thanks... | 1,704 | 1,704 | 1,704 | CONTRIBUTOR | null | # What does this PR do?
This PR resolves a critical security issue in the transformers package by removing the `shell=True` argument from `subprocess.Popen` calls. This update is in response to a security vulnerability flagged by the Bandit static analysis tool, which could potentially allow for execution of arbitra... | {
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https://api.github.com/repos/huggingface/transformers/issues/28298 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28298/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28298/comments | https://api.github.com/repos/huggingface/transformers/issues/28298/events | https://github.com/huggingface/transformers/issues/28298 | 2,061,560,374 | I_kwDOCUB6oc564Oo2 | 28,298 | Conv1d would be initialized to all zeros in a pretrained_model | {
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"It seems that the problem was in `from_pretrained`. When I init the model with config, it works fine.\r\n\r\n\r\n",
"OK, I see. It is a feature for LLM loading. Using the following would solve the problem:\r... | 1,704 | 1,704 | 1,704 | NONE | null | ### System Info
- `transformers` version: 4.36.2
- Platform: Linux-5.15.0-1050-azure-x86_64-with-glibc2.17
- Python version: 3.8.18
- Huggingface_hub version: 0.20.1
- Safetensors version: 0.4.1
- Accelerate version: 0.25.0
- Accelerate config: not found
- PyTorch version (GPU?): 2.1.2+cu121 (True)
- Tensor... | {
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https://api.github.com/repos/huggingface/transformers/issues/28297 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28297/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28297/comments | https://api.github.com/repos/huggingface/transformers/issues/28297/events | https://github.com/huggingface/transformers/pull/28297 | 2,061,352,208 | PR_kwDOCUB6oc5i_0ID | 28,297 | Support saving only PEFT adapter in checkpoints when using PEFT + FSDP | {
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"cc @younesbelkada ",
"@pacman100 Thanks for the insight on this.\r\n\r\nEdit: @pacman100 's right, I just tested this PR again:\r\n\r\n- PEFT + FSDP + Load Best Checkpoint at End: does work\r\n- PEFT + FSDP + Resume From Checkpoint: does not work",
"@pacman100 @younesbelkada - The PR is ready for review again ... | 1,704 | 1,706 | 1,706 | CONTRIBUTOR | null | # What does this PR do?
Currently, both the full model weights (`pytorch_model_fsdp.bin`) and the PEFT adapter weights (`adapter_model.safetensors`) are saved when saving checkpoints when PEFT + FSDP is used (leading to unnecessary excessive disk usage and slower training due to saving large files).
**These chan... | {
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https://api.github.com/repos/huggingface/transformers/issues/28296 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28296/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28296/comments | https://api.github.com/repos/huggingface/transformers/issues/28296/events | https://github.com/huggingface/transformers/issues/28296 | 2,061,334,547 | I_kwDOCUB6oc563XgT | 28,296 | transformers incompatible with master (head of trunk) tensorflow & keras 3 | {
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"Here's what needs to be done:\r\n\r\nhttps://github.com/ROCmSoftwarePlatform/transformers/commit/0b3d80de089bde6ad163042916b35bd26d38b434\r\n\r\nSome of this may break keras2 operation, I began adding version checks but have not had time to do it properly. I had to disable jit_compile, because I was getting XLA-re... | 1,704 | 1,706 | 1,706 | NONE | null | I am trying to get transformers working with head-of-trunk tensorflow, which requires keras 3 (I'm using keras-nightly (3.0.3.dev2023123103)), and I'm running into issues that seem to be caused by changes in internal behavior of keras. Neither 4.36.2 nor head-of-trunk transformers work.
My test script is simply:
``... | {
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https://api.github.com/repos/huggingface/transformers/issues/28295 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28295/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28295/comments | https://api.github.com/repos/huggingface/transformers/issues/28295/events | https://github.com/huggingface/transformers/pull/28295 | 2,061,287,909 | PR_kwDOCUB6oc5i_l3C | 28,295 | [Flash Attention 2] Add flash attention 2 for GPT-J | {
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"Current progress with running `flash_attn_test`. Will dive deeper to fix the error.\r\n\r\n\r\n\r\n\r\n\r\n",
"Hi @bytebarde, what is the error message? \r\nIf it is something like - \"IndexErr... | 1,704 | 1,707 | null | NONE | null | # What does this PR do?
<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
Then, please replace this w... | {
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https://api.github.com/repos/huggingface/transformers/issues/28294 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28294/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28294/comments | https://api.github.com/repos/huggingface/transformers/issues/28294/events | https://github.com/huggingface/transformers/issues/28294 | 2,061,278,059 | I_kwDOCUB6oc563Jtr | 28,294 | Unable to train in colad. complaints Using the `Trainer` with `PyTorch` requires `accelerate>=0.20.1` but already have accelerate Version: 0.25.0 | {
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"After installing Accelerate please try restarting the runtime, this is a common issue :) ",
"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 [co... | 1,704 | 1,707 | 1,707 | NONE | null | ### System Info
2024-01-01 01:45:15.116736: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
2024-01-01 01:45:15.116796: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:6... | {
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https://api.github.com/repos/huggingface/transformers/issues/28293 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28293/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28293/comments | https://api.github.com/repos/huggingface/transformers/issues/28293/events | https://github.com/huggingface/transformers/issues/28293 | 2,061,180,429 | I_kwDOCUB6oc562x4N | 28,293 | trainer save_model ValueError You are trying to save a non contiguous tensor | {
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"hmmm do you know what might be happening here @Narsil ? With mt5",
"Might be fixed by #28414 ? ",
"Happy to take a look if I can have acces either to the finetune (even dummy I just need to look at those tensors) or a reproducer.\r\n\r\nI have no idea what makes some tensors non contiguous and what kind of no... | 1,704 | 1,706 | null | NONE | null | ### System Info
Transformers version: 4.36.2
pytorch version: 2.1.1
Python version: 3.10.13
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [X] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD,... | {
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https://api.github.com/repos/huggingface/transformers/issues/28292 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28292/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28292/comments | https://api.github.com/repos/huggingface/transformers/issues/28292/events | https://github.com/huggingface/transformers/issues/28292 | 2,061,166,706 | I_kwDOCUB6oc562uhy | 28,292 | DPT normalization causes contouring when there are significant disparities in depth values between adjacent areas | {
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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... | 1,704 | 1,708 | null | NONE | null | ### System Info
Python 3.10.12
transformers-4.36.2
### Who can help?
@stevhliu @NielsRogge
### Information
- [X] The official example scripts
- [x] My own modified scripts
### Tasks
- [x] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [x] My own task or dataset... | {
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https://api.github.com/repos/huggingface/transformers/issues/28291 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28291/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28291/comments | https://api.github.com/repos/huggingface/transformers/issues/28291/events | https://github.com/huggingface/transformers/issues/28291 | 2,061,087,376 | I_kwDOCUB6oc562bKQ | 28,291 | [facebook/rag-sequence-nq] ValueError: Config name is missing. | {
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"Maybe cc @ydshieh as you have played with RAG recently. ",
"Hi @zhangnju \r\n\r\nWhat is your `datasets` version?\r\n\r\nOn [this google colab](https://colab.research.google.com/drive/1pCLInwexxrwg2WGIxgjmFMs6YeHZsCOm?usp=sharing), I can't reproduce this issue, but it uses `datasets==2.16.1`.",
"This issue has... | 1,704 | 1,707 | 1,707 | NONE | null | ### System Info
- `transformers` version: 4.36.2
- Platform: Linux-5.15.0-91-generic-x86_64-with-glibc2.29
- Python version: 3.8.10
- Huggingface_hub version: 0.20.1
- Safetensors version: 0.4.1
- Accelerate version: 0.25.0
- Accelerate config: not found
- PyTorch version (GPU?): 1.13.1+cpu (False)
- Tensor... | {
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https://api.github.com/repos/huggingface/transformers/issues/28290 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28290/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28290/comments | https://api.github.com/repos/huggingface/transformers/issues/28290/events | https://github.com/huggingface/transformers/pull/28290 | 2,060,910,767 | PR_kwDOCUB6oc5i-eYW | 28,290 | [WIP] Add Mixture of Tokens Transformer | {
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<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
Then, please replace this w... | {
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"Another option could be to instead define a function `model.generate_streaming` which takes in `batch_size` and yields generated sequences in `batch_size` increments. This would then allow the user to determine what they want to do with the yielded sequences (i.e. write them to a file or compute some metrics).",
... | 1,703 | 1,705 | 1,705 | NONE | null | ### Feature request
When running `model.generate` with a `Seq2SeqLM`, I've run into OOM issues in resource-constrained environments (i.e. Google Colab notebook) when passing in a large batch (i.e. 1000 samples). I propose adding a `batch_size` parameter to `model.generate` so that `input_ids` can be loaded in batches... | {
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https://api.github.com/repos/huggingface/transformers/issues/28288 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28288/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28288/comments | https://api.github.com/repos/huggingface/transformers/issues/28288/events | https://github.com/huggingface/transformers/pull/28288 | 2,060,851,550 | PR_kwDOCUB6oc5i-TmG | 28,288 | [Whisper] Fix errors with MPS backend introduced by new code on word-level timestamps computation | {
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"Sorry @ylacombe for a last minute (small) code change.\r\n\r\nI was running a load test, where I transcribed a 2 hours audio file and I stumbled into another `torch.std_mean` instruction (at line 2602) that I did not fix in the initial commit.\r\nAfter this second fix I got no more issues and could complete the fu... | 1,703 | 1,704 | 1,704 | CONTRIBUTOR | null | Fixed some issue with MPS backend raised from the recent changes from the great
updates from https://github.com/huggingface/transformers/pull/28114
First, the torch.std_mean is not implemented and is not scheduled for implementation, while the single torch.std and torch.mean are.
Second, MPS backend does not ... | {
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https://api.github.com/repos/huggingface/transformers/issues/28287 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28287/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28287/comments | https://api.github.com/repos/huggingface/transformers/issues/28287/events | https://github.com/huggingface/transformers/issues/28287 | 2,060,823,478 | I_kwDOCUB6oc561au2 | 28,287 | [MBart50] Inconsistent decoding with additional special tokens between slow and fast tokenizers | {
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"When confirmed this is unexpected behaviour I would be willing to research behaviour of other tokenizers in the same setting and submit a pull request addressing the issue :-)",
"Thanks @fleonce for your issue! @ArthurZucker will take a look at your issue as soon as he's back from leave, in about a week. Thanks ... | 1,703 | 1,707 | 1,707 | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.36.2
- Platform: Linux-6.2.0-25-generic-x86_64-with-glibc2.35
- Python version: 3.10.12
- Huggingface_hub version: 0.20.1
- Safetensors version: 0.4.1
- Accelerate version: not installed
- Accelerate config: not found
- PyTorch version (GPU?): not installed (NA)
- Te... | {
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https://api.github.com/repos/huggingface/transformers/issues/28286 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28286/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28286/comments | https://api.github.com/repos/huggingface/transformers/issues/28286/events | https://github.com/huggingface/transformers/issues/28286 | 2,060,806,201 | I_kwDOCUB6oc561Wg5 | 28,286 | `contrastive-image-text/run_clip.py` example problems | {
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"Hi @AmitMY, thanks for opening an issue! \r\n\r\nThere's a few different points to address here. \r\n\r\n> When using --train_file dataset.csv, the tokenizer fails if the caption is \"None\", \"null\" or \"NA\"\r\n\r\nIs this the same dataset being prepared in the `README.md` example or a different one? \r\n\r\nAs... | 1,703 | 1,705 | 1,705 | NONE | null | ### System Info
- `transformers` version: 4.37.0.dev0
- Platform: Linux-5.15.0-88-generic-x86_64-with-glibc2.31
- Python version: 3.11.5
- Huggingface_hub version: 0.20.1
- Safetensors version: 0.4.1
- Accelerate version: 0.25.0
- Accelerate config: not found
- PyTorch version (GPU?): 2.1.2+cu121 (True)
- T... | {
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https://api.github.com/repos/huggingface/transformers/issues/28285 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28285/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28285/comments | https://api.github.com/repos/huggingface/transformers/issues/28285/events | https://github.com/huggingface/transformers/issues/28285 | 2,060,691,023 | I_kwDOCUB6oc5606ZP | 28,285 | Add Mixture of Tokens model | {
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Mixture of Tokens is a new architecture / technique proposed in [Mixture of Tokens: Efficient LLMs through Cross-Example Aggregation](https://arxiv.org/abs/2310.15961) and accompanying [blog](https://llm-random.github.io/posts/mixture_of_tokens/) by Szymon Antoniak, Sebastian Jaszczur et al.
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https://api.github.com/repos/huggingface/transformers/issues/28284 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28284/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28284/comments | https://api.github.com/repos/huggingface/transformers/issues/28284/events | https://github.com/huggingface/transformers/issues/28284 | 2,060,650,577 | I_kwDOCUB6oc560whR | 28,284 | Multi GPU inference on RTX 3060 fails with RuntimeError: RuntimeError: CUDA error: device-side assert triggered (Assertion index >= -sizes[i] && index < sizes[i] && "index out of bounds" failed.) | {
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"Hi @levidehaan, thanks for raising this issue! \r\n\r\nCould you provide a checkpoint for a public model which replicates this issue? Does this happen for any llama model? \r\nDo you observe this issue when not running through a flask app? i.e. does this work: \r\n\r\n```py\r\nimport torch\r\nfrom transformers imp... | 1,703 | 1,707 | null | NONE | null | ### System Info
**Version: transformers-4.36.2**
I have 2 RTX 3060's and i am able to run LLM's on One GPU but it wont work when i try to run them on 2 GPU's with the error:
```
/opt/anaconda3/envs/333MillionEyes/lib/python3.10/site-packages/transformers/generation/utils.py:1518: UserWarning: You have modified... | {
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https://api.github.com/repos/huggingface/transformers/issues/28283 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28283/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28283/comments | https://api.github.com/repos/huggingface/transformers/issues/28283/events | https://github.com/huggingface/transformers/issues/28283 | 2,060,323,638 | I_kwDOCUB6oc56zgs2 | 28,283 | Trainer stuck at step 19(out of 100000) in Jupyter notebook | {
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"It turns out the kernel was busy, but checkpoints were still being saved."
] | 1,703 | 1,706 | 1,706 | NONE | null | ### System Info
- `transformers` version: 4.36.2
- Platform: Linux-6.2.0-37-generic-x86_64-with-glibc2.35
- Python version: 3.10.12
- Huggingface_hub version: 0.20.1
- Safetensors version: 0.4.1
- Accelerate version: 0.21.0
- Accelerate config: not found
- PyTorch version (GPU?): 2.0.1 (True)
- Tensorflow... | {
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https://api.github.com/repos/huggingface/transformers/issues/28282 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28282/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28282/comments | https://api.github.com/repos/huggingface/transformers/issues/28282/events | https://github.com/huggingface/transformers/issues/28282 | 2,060,276,201 | I_kwDOCUB6oc56zVHp | 28,282 | ImportError: AutoModel requires the PyTorch library but it was not found in your environment | {
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"Hi @marwen94, I'm struggling to reproduce this here. I'm not familiar with the Poetry dependency manager, but I tried reproducing those package versions in a Python 3.9 env with `pip` and the model loaded fine - the issue seems to be very specific to the environment you're using.\r\n\r\nCan you figure out a list o... | 1,703 | 1,707 | 1,707 | NONE | null | ### System Info
I'm trying to load a AutoModel pre-trained model. However, I receiving the following error :
```
ImportError:
AutoModel requires the PyTorch library but it was not found in your environment.
However, we were able to find a TensorFlow installation. TensorFlow classes begin
with "TF", but are ot... | {
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https://api.github.com/repos/huggingface/transformers/issues/28281 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28281/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28281/comments | https://api.github.com/repos/huggingface/transformers/issues/28281/events | https://github.com/huggingface/transformers/issues/28281 | 2,060,205,528 | I_kwDOCUB6oc56zD3Y | 28,281 | Issue with installing transformers with poetry on M1 Mac | {
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"Hi @unography, thanks for raising this issue. \r\n\r\nThis appears to be a `poetry` releated issue - `transformers` can be successfully installed with `pip`. Did you run `pip wheel --use-pep517 \"flash-attn (==2.1.0)\"` as recommended by the error message? \r\n\r\nNote, flash-attn is needed if using flash attentio... | 1,703 | 1,706 | null | CONTRIBUTOR | null | ### System Info
Apple M1 Pro, OS: Sonoma 14.2.1
Python: 3.11
Poetry: 1.6.1
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My ow... | {
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https://api.github.com/repos/huggingface/transformers/issues/28280 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28280/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28280/comments | https://api.github.com/repos/huggingface/transformers/issues/28280/events | https://github.com/huggingface/transformers/issues/28280 | 2,060,202,511 | I_kwDOCUB6oc56zDIP | 28,280 | Struk during training on multi-GPUs with deepspeed, but work with single GPU | {
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"tried to run the following code, stuck with backend `nccl`, but works with `gloo`:\r\n\r\n```python\r\nimport torch.distributed as dist\r\nimport argparse\r\nimport torch\r\n\r\ntorch.cuda.set_device(int(os.environ['LOCAL_RANK']))\r\ndevice = torch.device(\"cuda\", int(os.environ['LOCAL_RANK']))\r\n\r\ndist.init_p... | 1,703 | 1,707 | 1,707 | NONE | null | ### System Info
- `transformers` version: 4.31.0
- Platform: Linux-4.15.0-156-generic-x86_64-with-glibc2.31
- Python version: 3.10.13
- Huggingface_hub version: 0.20.1
- Safetensors version: 0.4.1
- Accelerate version: 0.21.0
- 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/28279 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28279/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28279/comments | https://api.github.com/repos/huggingface/transformers/issues/28279/events | https://github.com/huggingface/transformers/pull/28279 | 2,060,043,780 | PR_kwDOCUB6oc5i8EpO | 28,279 | refactor replace_linear for ease of additions and add unit tests | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_28279). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | 1,703 | 1,706 | null | CONTRIBUTOR | null | null | {
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"Submitting this as a separate PR, to keep things clean/atomic.",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_28278). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"Really strange... | 1,703 | 1,708 | 1,708 | CONTRIBUTOR | null | # What does this PR do?
add test marker to run all tests with @require_bitsandbytes
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/main/CONTR... | {
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https://api.github.com/repos/huggingface/transformers/issues/28277 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28277/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28277/comments | https://api.github.com/repos/huggingface/transformers/issues/28277/events | https://github.com/huggingface/transformers/pull/28277 | 2,059,243,282 | PR_kwDOCUB6oc5i7Vtf | 28,277 | enable training mask2former and maskformer for transformers trainer | {
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"FYI, original mask2former/maskformer is also not scalar. However, this actually doesn't matter at the `loss.backward()`"
] | 1,703 | 1,704 | 1,704 | CONTRIBUTOR | null | # What does this PR do?
<!--
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https://api.github.com/repos/huggingface/transformers/issues/28276 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28276/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28276/comments | https://api.github.com/repos/huggingface/transformers/issues/28276/events | https://github.com/huggingface/transformers/issues/28276 | 2,059,190,292 | I_kwDOCUB6oc56vMAU | 28,276 | LLaVa inference crashes with error: Error device-side assert triggered at line 738 in file /mmfs1/gscratch/zlab/timdettmers/git/bitsandbytes/csrc/ops.cu | {
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"I'm having the same issue while doing inference with the same weights (1.5-13b), also on Linux and GPU. Interestingly, I never have the issue when doing inference with the smaller (7b) model.",
"This should have been fixed on main by #28032 ",
"This issue has been automatically marked as stale because it has n... | 1,703 | 1,707 | 1,707 | NONE | null | ### System Info
- `transformers` version: 4.36.1
- Platform: Linux-5.15.0-91-generic-x86_64-with-glibc2.35
- Python version: 3.11.5
- Huggingface_hub version: 0.19.4
- Safetensors version: 0.4.0
- Accelerate version: 0.24.1
- Accelerate config: not found
- PyTorch version (GPU?): 2.1.1 (True)
- Tensorflow... | {
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https://api.github.com/repos/huggingface/transformers/issues/28275 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28275/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28275/comments | https://api.github.com/repos/huggingface/transformers/issues/28275/events | https://github.com/huggingface/transformers/issues/28275 | 2,058,999,519 | I_kwDOCUB6oc56udbf | 28,275 | Failed to import transformers.modeling_utils | {
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"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md) a... | 1,703 | 1,706 | null | NONE | null | ### System Info
RuntimeError: Failed to import transformers.modeling_utils because of the following error (look up to see its traceback):
Failed to import transformers.generation.utils because of the following error (look up to see its traceback):
/usr/local/lib/python3.8/dist-packages/transformer_engine_extensions.... | {
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https://api.github.com/repos/huggingface/transformers/issues/28274 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28274/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28274/comments | https://api.github.com/repos/huggingface/transformers/issues/28274/events | https://github.com/huggingface/transformers/pull/28274 | 2,058,753,668 | PR_kwDOCUB6oc5i5ttU | 28,274 | Support : Adding Support for LlamaForQuestionAnswering class | {
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"hey @NielsRogge @ArthurZucker @younesbelkada can anyone from you guys review this PR ,",
"Hey @ArthurZucker, about this comment:\r\n\r\n> Hey! Thanks for contributing! I don't mind having this merged, but I think it should be pretty easy for anyone to build on top of transformers and add their custom logic. If t... | 1,703 | 1,706 | null | CONTRIBUTOR | null | # Adding Support for `LlamaForQuestionAnswering`.
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https://api.github.com/repos/huggingface/transformers/issues/28273 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28273/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28273/comments | https://api.github.com/repos/huggingface/transformers/issues/28273/events | https://github.com/huggingface/transformers/issues/28273 | 2,058,527,209 | I_kwDOCUB6oc56sqHp | 28,273 | Can't load baichuan2-7b-chat from Huggingface Hub but can load model from local on mac m2 | {
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"Hi @statelesshz, thanks for reporting this issue! \r\n\r\nIndeed, I get the same error if I try to run your example script with a GPU. I looks like this is coming from the files on the hub themselves - likely in the definition in [quantizer.py](https://huggingface.co/baichuan-inc/Baichuan2-7B-Chat/blob/main/quanti... | 1,703 | 1,707 | 1,707 | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.36.2
- Platform: macOS-14.0-arm64-arm-64bit
- Python version: 3.8.18
- Huggingface_hub version: 0.20.1
- Safetensors version: 0.4.1
- Accelerate version: 0.25.0
- Accelerate config: not found
- PyTorch version (GPU?): 2.1.2 (False)
- Tensorflow version (GPU?): not... | {
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https://api.github.com/repos/huggingface/transformers/issues/28272 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28272/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28272/comments | https://api.github.com/repos/huggingface/transformers/issues/28272/events | https://github.com/huggingface/transformers/issues/28272 | 2,058,442,920 | I_kwDOCUB6oc56sVio | 28,272 | Safely extend vocabulary of BPE tokenizers | {
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"Hi @ekurtulus, thanks for raising an issue! \r\n\r\nThis is a question best placed in our [forums](https://discuss.huggingface.co/). We try to reserve the github issues for feature requests and bug reports."
] | 1,703 | 1,706 | null | NONE | null | ### Feature request
Allow extension of BPE tokenizers by further training on new corpus.
### Motivation
This would benefit finetuning English models for other languages
### Your contribution
I do not know how to approach this in Transformers. | {
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https://api.github.com/repos/huggingface/transformers/issues/28271 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28271/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28271/comments | https://api.github.com/repos/huggingface/transformers/issues/28271/events | https://github.com/huggingface/transformers/issues/28271 | 2,058,366,503 | I_kwDOCUB6oc56sC4n | 28,271 | Difference between facebook/dinov2-base and timm/vit_base_patch14_dinov2.lvd142m | {
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"@NielsRogge do you have any suggestion?\r\nThanks in advance !",
"Hi @lombardata,\r\n\r\nIt's a valid question - thanks for asking. So Timm is a more research-focused library providing access to state-of-the-art image backbones, including recent ones like DINOv2 and SigLIP. The library provides a fully-fledged [... | 1,703 | 1,706 | 1,706 | NONE | null | ### Feature request
Hi all,
Maybe this question will be very stupid but I do not understand the difference between these two models :
facebook/dinov2-base and timm/vit_base_patch14_dinov2.lvd142m (obviously this last model without the linear classifier on top).
In my understanding, both are implementations of the D... | {
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https://api.github.com/repos/huggingface/transformers/issues/28270 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28270/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28270/comments | https://api.github.com/repos/huggingface/transformers/issues/28270/events | https://github.com/huggingface/transformers/issues/28270 | 2,058,191,178 | I_kwDOCUB6oc56rYFK | 28,270 | "Trying to create tensor with negative dimension -686245457367107674" when resuming from checkpoint with deepspeed | {
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"When I try without LoRA I get a different (maybe more useful?) error message\r\n\r\n```\r\n File \"/opt/venv/lib/python3.11/site-packages/transformers/trainer.py\", line 1827, in _inner_training_loop\r\n for step, inputs in enumerate(epoch_iterator):\r\n File \"/opt/venv/lib/python3.11/site-packages/accelerat... | 1,703 | 1,707 | 1,707 | NONE | null | ### System Info
pytorch nightly, latest version of everything
### Who can help?
@pacman100
### Information
- [ ] The official example scripts
- [X] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [X] My own task or dataset... | {
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https://api.github.com/repos/huggingface/transformers/issues/28269 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28269/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28269/comments | https://api.github.com/repos/huggingface/transformers/issues/28269/events | https://github.com/huggingface/transformers/pull/28269 | 2,057,984,445 | PR_kwDOCUB6oc5i3HfK | 28,269 | Sliently ignore the FileNotFoundError exception when mv staging output dir | {
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"I think we should opt for a solution that avoids the need for this PR. And one that works for multi-node setups with and without shared file system.",
"may I ask whether we can get a solution for this in main branch? this is also an issue to block us from using 4.36+ for this multi node multi gpu training. thank... | 1,703 | 1,705 | 1,705 | NONE | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/28268 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28268/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28268/comments | https://api.github.com/repos/huggingface/transformers/issues/28268/events | https://github.com/huggingface/transformers/pull/28268 | 2,057,959,353 | PR_kwDOCUB6oc5i3CNC | 28,268 | [WIP] Add NarrowBERT to HF | {
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"Hey! Thanks for wanting to contribute I would recommend you to put the model on the hub following [this tutorial](https://huggingface.co/docs/transformers/custom_models) to make it easily available ๐ค",
"Hi. I've uploaded pretrained models to the hub. With the last commit i think I've passed all tests i can see.... | 1,703 | 1,706 | null | NONE | null | # What does this PR do?
Add implementation of NarrowBERT.
- original repo: https://github.com/lihaoxin2020/narrowbert
- paper: https://arxiv.org/abs/2301.04761v2
## Who can review?
- text models: @ArthurZucker and @younesbelkada
| {
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https://api.github.com/repos/huggingface/transformers/issues/28267 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28267/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28267/comments | https://api.github.com/repos/huggingface/transformers/issues/28267/events | https://github.com/huggingface/transformers/pull/28267 | 2,057,826,363 | PR_kwDOCUB6oc5i2m_t | 28,267 | fix documentation for zero_shot_object_detection | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_28267). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | 1,703 | 1,704 | 1,704 | CONTRIBUTOR | null | # What does this PR do?
<!--
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https://api.github.com/repos/huggingface/transformers/issues/28266 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28266/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28266/comments | https://api.github.com/repos/huggingface/transformers/issues/28266/events | https://github.com/huggingface/transformers/pull/28266 | 2,057,792,654 | PR_kwDOCUB6oc5i2f6I | 28,266 | Don't allow passing `load_in_8bit` and `load_in_4bit` at the same time | {
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"Hey folks, should we merge this PR? :D ",
"Definitely, @Titus-von-Koeller if you don't see any issue what do you think of merging this PR?\r\ncc @amyeroberts @ArthurZucker for a core-maintainer review before merging"
] | 1,703 | 1,706 | 1,706 | MEMBER | null | # What does this PR do?
This PR disallows having both `load_in_8bit` and `load_in_4bit` set simultaneously. This would help avoid unexpected behaviors or broken configurations.
## Example
**Without the PR**
```
from transformers import BitsAndBytesConfig
BitsAndBytesConfig(load_in_8bit=True, load_in_4bi... | {
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https://api.github.com/repos/huggingface/transformers/issues/28265 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28265/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28265/comments | https://api.github.com/repos/huggingface/transformers/issues/28265/events | https://github.com/huggingface/transformers/issues/28265 | 2,057,687,233 | I_kwDOCUB6oc56pdDB | 28,265 | Add `LlamaForQuestionAnswering` | {
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"Hey @NielsRogge I would like to work on this issue .",
"@ArthurZucker @NielsRogge Is this feature still requested?\r\nI can work on it",
"Hey @nakranivaibhav , as you can see, @Tanmaypatil123 has already started working on it, let's not duplicate work ! ๐ค Unless the PR is not updated in a week or so, feel fr... | 1,703 | 1,706 | null | NONE | null | ### Feature request
Add a `LlamaForQuestionAnswering` class to the [`modeling_llama.py`](https://github.com/huggingface/transformers/blob/main/src/transformers/models/llama/modeling_llama.py) so Llama models have `AutoModelForQuestionAnswering` support (by also adding Llama-style models to the `MODEL_FOR_QUESTION_ANSW... | {
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https://api.github.com/repos/huggingface/transformers/issues/28264 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28264/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28264/comments | https://api.github.com/repos/huggingface/transformers/issues/28264/events | https://github.com/huggingface/transformers/issues/28264 | 2,057,538,696 | I_kwDOCUB6oc56o4yI | 28,264 | Accuracy regression of ViT | {
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"Hi @blzheng, thanks for raising this issue! \r\n\r\n#19796 has been merged in for over a year now, and there have been a few subsequent updates to the image processing logic. Could you confirm how you narrowed it down to this commit? \r\n\r\nWhat performance do you get, running on main with different seeds? ",
"... | 1,703 | 1,707 | 1,707 | NONE | null | ### System Info
- `transformers` version: 4.25.0.dev0
- Platform: Linux-5.15.0-53-generic-x86_64-with-glibc2.35
- Python version: 3.9.17
- Huggingface_hub version: 0.19.4
- PyTorch version (GPU?): 2.0.1+cpu (False)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA... | {
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https://api.github.com/repos/huggingface/transformers/issues/28263 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28263/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28263/comments | https://api.github.com/repos/huggingface/transformers/issues/28263/events | https://github.com/huggingface/transformers/pull/28263 | 2,057,483,882 | PR_kwDOCUB6oc5i1dQr | 28,263 | Optimize the speed of the truncate_sequences function. | {
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"@ArthurZucker @younesbelkada Could you give me any opinions or suggestions?",
"Hi @ikkvix thanks for your great work on this, I will let @ArthurZucker review the PR as he is much more familiar on tokenizers that I am",
"> LGTM, what kind of speedups are we looking at? (did you benchmark it?)\r\n\r\nThank you... | 1,703 | 1,704 | 1,704 | CONTRIBUTOR | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/28262 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28262/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28262/comments | https://api.github.com/repos/huggingface/transformers/issues/28262/events | https://github.com/huggingface/transformers/pull/28262 | 2,057,441,777 | PR_kwDOCUB6oc5i1UI1 | 28,262 | [docs] Sort es/toctree.yml | Translate performance.md | {
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"Hello, I am open to any feedback. This PR is a continuation of the work on #28172 which sort `es/_toctree.yml` like `en/_toctree.yml`, with the addition of the Spanish version of `performance.md`.\r\n\r\nMy only doubt in the translation is that the links to the other files mentioned are correct, since these files ... | 1,703 | 1,704 | 1,704 | CONTRIBUTOR | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/28261 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28261/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28261/comments | https://api.github.com/repos/huggingface/transformers/issues/28261/events | https://github.com/huggingface/transformers/pull/28261 | 2,057,323,182 | PR_kwDOCUB6oc5i06Zk | 28,261 | [`MobileSam`] Adds MobileSAM to transformers | {
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as discussed offline cc @merveenoyan @NielsRogge
This PR adds MobileSam to the library. MobileSam uses the same archtiecture as SAM, with the SAM image encoder being swapped to TinyViT. Therefore I decided to create a new modeling file for it, as porting TinyViT required a bit of work
Dr... | {
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https://api.github.com/repos/huggingface/transformers/issues/28260 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28260/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28260/comments | https://api.github.com/repos/huggingface/transformers/issues/28260/events | https://github.com/huggingface/transformers/issues/28260 | 2,057,306,510 | I_kwDOCUB6oc56oAGO | 28,260 | How to set pad_token of Llava for batched generation and training? | {
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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... | 1,703 | 1,707 | 1,707 | NONE | null | Hello, @younesbelkada I'm trying to use Llava for batched generation, using the default pad_token. here is the script:
```python
import json
from PIL import Image
from transformers import AutoProcessor, LlavaForConditionalGeneration,AutoTokenizer
from torch.utils.data import Dataset,DataLoader
import torch
impor... | {
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https://api.github.com/repos/huggingface/transformers/issues/28259 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28259/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28259/comments | https://api.github.com/repos/huggingface/transformers/issues/28259/events | https://github.com/huggingface/transformers/issues/28259 | 2,057,305,050 | I_kwDOCUB6oc56n_va | 28,259 | How to add new merge rules in AutoTokenizer | {
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I'm training new tokenizer from llama2, however, it seems that BPE tokenizer will clear the origin "vocab" and "merge" dict, and the training result is highly bias in my own datasets (about 6M C function) with some ugly tokens.
I wonder that is it possible to train a tokenizer from llama2 with... | {
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https://api.github.com/repos/huggingface/transformers/issues/28258 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28258/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28258/comments | https://api.github.com/repos/huggingface/transformers/issues/28258/events | https://github.com/huggingface/transformers/issues/28258 | 2,057,262,802 | I_kwDOCUB6oc56n1bS | 28,258 | MobileVitV2 doesn't have optimizer and loss argument in `model.compile()`? | {
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"cc @Rocketknight1 ",
"Hi @adhiiisetiawan, the issue here is that when you changed the code, you switched from TF classes to PyTorch classes. Your code uses `MobileViTV2Model`, but this is a PyTorch class. Therefore, the reason that the `compile()` method is behaving incorrectly for you is that you're actually lo... | 1,703 | 1,704 | 1,704 | NONE | null | ### System Info
- `transformers` version: 4.35.2
- Platform: Linux-6.1.58+-x86_64-with-glibc2.35
- Python version: 3.10.12
- Huggingface_hub version: 0.19.4
- Safetensors version: 0.4.1
- Accelerate version: not installed
- Accelerate config: not found
- PyTorch version (GPU?): 2.1.0+cu121 (True)
- Tensorflo... | {
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https://api.github.com/repos/huggingface/transformers/issues/28257 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28257/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28257/comments | https://api.github.com/repos/huggingface/transformers/issues/28257/events | https://github.com/huggingface/transformers/pull/28257 | 2,057,113,024 | PR_kwDOCUB6oc5i0MS4 | 28,257 | [fix] Optimize deletion speed while truncate_sequences (#3563) | {
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"Sorry, this method may be related to the environment and len(ids), so the rewriting may not always be effective. We are conducting further research to better address the issue.",
"No worries feel free to ping me if you have good findings! "
] | 1,703 | 1,704 | 1,703 | NONE | null | # What does this PR do?
The process remains unchanged, but the writing method is changed to improve the speed of truncate_sequences().
"del ids[-1]" is an in-place operation, while the original "ids = ids[:-1]" make an additional copy of ids[0:-1]. Therefore, the original writting method is slower, especially when s... | {
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