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https://api.github.com/repos/huggingface/transformers/issues/26130 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26130/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26130/comments | https://api.github.com/repos/huggingface/transformers/issues/26130/events | https://github.com/huggingface/transformers/issues/26130 | 1,893,894,632 | I_kwDOCUB6oc5w4ono | 26,130 | the NoRepeatNGramLogitsProcessor is slow | {
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"cc @gante ",
"Hey @nevakrien π \r\n\r\nOur main focus is the breadth and availability of techniques, which means performance sometimes gets relegated to a secondary position. Your contribution (with a few benchmarks before/after the changes) would definitely be appreciated π€ ",
"This issue has been automatic... | 1,694 | 1,697 | 1,697 | NONE | null | ### Feature request
its relatively easy to just cash the values ahead of time and then use those, rn its build in a way that requires looking through the whole text every single time. u could have simply kept the dict and added 1 value to it.
### Motivation
I am trying to make generation faster
### Your contributio... | {
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https://api.github.com/repos/huggingface/transformers/issues/26129 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26129/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26129/comments | https://api.github.com/repos/huggingface/transformers/issues/26129/events | https://github.com/huggingface/transformers/pull/26129 | 1,893,869,289 | PR_kwDOCUB6oc5aMz6X | 26,129 | Update logits_process.py docstrings to clarify penalty and reward cases | {
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"Hey @gante @ArthurZucker! This is ready for review π "
] | 1,694 | 1,696 | 1,696 | CONTRIBUTOR | null | This PR fixes point 3 of #25970 by clarifying the penalty and reward cases for `RepetitionPenaltyLogitsProcessor` and `EncoderRepetitionPenaltyLogitsProcessor` within the docstrings.
`EncoderRepetitionPenaltyLogitsProcessor` may require further iterations as the class name does not accurately reflect what the class ... | {
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https://api.github.com/repos/huggingface/transformers/issues/26128 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26128/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26128/comments | https://api.github.com/repos/huggingface/transformers/issues/26128/events | https://github.com/huggingface/transformers/issues/26128 | 1,893,723,406 | I_kwDOCUB6oc5w3-0O | 26,128 | AttributeError: 'LlamaForCausalLM' object has no attribute 'save_checkpoint' | {
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"The model is saving fine while changing to stage 3",
"> CUDA_VISIBLE_DEVICES=0,3 python train.py --data_path /path/to/data.json --output_dir output --per_device_train_batch_size 4 --num_train_epochs 2 --learning_rate 2e-5 --fp16 True --logging_steps 10 --save_strategy steps --save_steps 20 --save_total_limit 5 ... | 1,694 | 1,700 | 1,700 | NONE | null | ### System Info
I'm training a llama model. When I try using Deepspeed along with the trainer, I get the below error
<img width="695" alt="image" src="https://github.com/huggingface/transformers/assets/12937285/3cd5a3c1-34c9-46b3-93e0-e5dd454b8a3b">
Training script
```
tokenizer = LlamaTokenizer.from_pretrai... | {
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https://api.github.com/repos/huggingface/transformers/issues/26126 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26126/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26126/comments | https://api.github.com/repos/huggingface/transformers/issues/26126/events | https://github.com/huggingface/transformers/issues/26126 | 1,893,502,036 | I_kwDOCUB6oc5w3IxU | 26,126 | [Bug + workaround] Keypoints 0.0 are confusing ../transformers/models/detr/image_processing_detr.py | {
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"Hi @duckheada, thanks for raising this issue! \r\n\r\nWould you like to open a PR with this fix?\r\n\r\ncc @rafaelpadilla ",
"@amyeroberts not really. I don't know enough about the library",
"OK, I'll open it up to the community if someone wants to add this π ",
"@amyeroberts can I work on this?",
"@amyer... | 1,694 | 1,701 | 1,701 | NONE | null | ### System Info
- transformers: 4.33.1
- Python: 3.9.18
- Macbook pro M2 chip
### Who can help?
@Narsil
### Information
- [X] The official example scripts
- [ ] My own modified scripts
### Tasks
- [X] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] ... | {
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https://api.github.com/repos/huggingface/transformers/issues/26125 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26125/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26125/comments | https://api.github.com/repos/huggingface/transformers/issues/26125/events | https://github.com/huggingface/transformers/pull/26125 | 1,893,408,967 | PR_kwDOCUB6oc5aLT0B | 26,125 | Overload pipeline to return the appropriate type for a task | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_26125). All of your documentation changes will be reflected on that endpoint.",
"cc @Narsil ",
"I do understand where this is coming from, and I do agree the pipeline object is quite complex, having some helps from LSP wo... | 1,694 | 1,704 | 1,704 | NONE | null | Previously, if I use the pipeline method, e.g. `transcriber = pipeline("automatic-speech-recognition", model="openai/whisper-base.en")`, the type hinting assumes `transcriber` is a generic `Pipeline` object. This means I get no help from editor to get any of the documentation for the specific arguments I can pass to th... | {
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https://api.github.com/repos/huggingface/transformers/issues/26124 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26124/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26124/comments | https://api.github.com/repos/huggingface/transformers/issues/26124/events | https://github.com/huggingface/transformers/pull/26124 | 1,893,317,081 | PR_kwDOCUB6oc5aLDee | 26,124 | Fixed inconsistency in BertTokenizerFast | {
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In `BertTokenizerFast.create_token_type_ids_from_sequences` and `BertTokenizer` we check `if token_ids_1 is None:`.
A empty list is not considered None, but it will return False if converted to bool.
Which makes this an inconsistency.
Fixes #26123
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https://api.github.com/repos/huggingface/transformers/issues/26123 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26123/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26123/comments | https://api.github.com/repos/huggingface/transformers/issues/26123/events | https://github.com/huggingface/transformers/issues/26123 | 1,893,311,268 | I_kwDOCUB6oc5w2aMk | 26,123 | Inconsistency in BertFastTokenizer | {
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- `transformers` version: 4.31.0
- Platform: Linux-4.18.0-425.19.2.el8_7.x86_64-x86_64-with-glibc2.2.5
- Python version: 3.8.6
- Huggingface_hub version: 0.16.4
- Safetensors version: 0.3.1
- Accelerate version: not installed
- Accelerate config: not found
- PyTorch version (GPU?): 2.0.1+cu117... | {
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https://api.github.com/repos/huggingface/transformers/issues/26122 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26122/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26122/comments | https://api.github.com/repos/huggingface/transformers/issues/26122/events | https://github.com/huggingface/transformers/issues/26122 | 1,893,225,016 | I_kwDOCUB6oc5w2FI4 | 26,122 | Unclear kwargs options in docstrings | {
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"Hi @matsuobasho, thanks for raising this issue! \r\n\r\nThe API you linked to is for the tokenizer classes. When calling AutoModelForCausalLM, the `from_pretrained` API is [this one](https://huggingface.co/docs/transformers/main/en/model_doc/auto#transformers.AutoModelForCausalLM.from_pretrained). In the docstring... | 1,694 | 1,694 | 1,694 | NONE | null | ### System Info
<This issue is about the docstrings, see no other more relevant categories when I create issue.>
### Reproduction
The problem is that kwargs documentation is too general to understand all the options of arguments for a particular function. Here is an example.
The [tutorial ](https://huggingf... | {
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https://api.github.com/repos/huggingface/transformers/issues/26121 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26121/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26121/comments | https://api.github.com/repos/huggingface/transformers/issues/26121/events | https://github.com/huggingface/transformers/pull/26121 | 1,893,071,393 | PR_kwDOCUB6oc5aKNJW | 26,121 | Add missing space in generation/utils.py | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_26121). All of your documentation changes will be reflected on that endpoint."
] | 1,694 | 1,694 | 1,694 | CONTRIBUTOR | null | Warning now reads as "... to control thegeneration length. We ..."
# 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 ... | {
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https://api.github.com/repos/huggingface/transformers/issues/26120 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26120/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26120/comments | https://api.github.com/repos/huggingface/transformers/issues/26120/events | https://github.com/huggingface/transformers/issues/26120 | 1,892,991,338 | I_kwDOCUB6oc5w1MFq | 26,120 | Issue with reloading model, please help me what I should I change | {
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"Hi @Shruthipriya-BS , please submit minimal reproducer with your config. It's hard to help you with the current description. ",
"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 th... | 1,694 | 1,697 | 1,697 | NONE | null | My code :
' ' ' import torch
from transformers import (
AutoModelForCausalLM,
AutoTokenizer,
BitsAndBytesConfig,
logging,
)
import torch
import pandas as pd
from datasets import load_dataset, concatenate_datasets
from peft import LoraConfig, PeftModel
from trl import SFTTrainer
from peft im... | {
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https://api.github.com/repos/huggingface/transformers/issues/26119 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26119/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26119/comments | https://api.github.com/repos/huggingface/transformers/issues/26119/events | https://github.com/huggingface/transformers/pull/26119 | 1,892,916,324 | PR_kwDOCUB6oc5aJrIO | 26,119 | [Whisper] Use torch for stft if available | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_26119). All of your documentation changes will be reflected on that endpoint.",
"cc @Vaibhavs10 you'll probably get a speed-up again using the torch backend for STFT if you install from `main`",
"This issue has been autom... | 1,694 | 1,703 | 1,703 | CONTRIBUTOR | null | # What does this PR do?
PoC PR to highlight what using the `torch` backend for STFT would look like. In a toy benchmark over 2500 samples, the torch backend is approx 4x faster than the native `numpy` one: https://github.com/sanchit-gandhi/codesnippets/blob/main/benchmark_preprocess.ipynb
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https://api.github.com/repos/huggingface/transformers/issues/26118 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26118/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26118/comments | https://api.github.com/repos/huggingface/transformers/issues/26118/events | https://github.com/huggingface/transformers/pull/26118 | 1,892,907,383 | PR_kwDOCUB6oc5aJpLB | 26,118 | Text2text pipeline: don't parameterize from the config | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@amyeroberts To answer your top-level question: the main change in the PR is that we do not set `max_length` when the user does not pass it. The warning was raised when the user passed `max_new_tokens`, which would clash with the (re... | 1,694 | 1,694 | 1,694 | MEMBER | null | # What does this PR do?
Fixes the warning raised in [this comment](https://github.com/huggingface/transformers/pull/23139#issuecomment-1674143603).
Similar to other recent PRs, it removes a few lines that attempt to parameterize `.generate()` using values from the model config, when they are absent. The `Generati... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,694 | 1,694 | 1,694 | COLLABORATOR | null | # What does this PR do?
Fixes #26108
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [ ] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md#start-contributing-pull-requests... | {
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https://api.github.com/repos/huggingface/transformers/issues/26116 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26116/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26116/comments | https://api.github.com/repos/huggingface/transformers/issues/26116/events | https://github.com/huggingface/transformers/issues/26116 | 1,892,847,371 | I_kwDOCUB6oc5w0o8L | 26,116 | can't use pretrained weights when working with a tpu | {
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"Hm, if it works on Colab but not Kaggle, the issue is probably not in `transformers` itself. It's either in the versions of TF / transformers you're using on both platforms, or the way you're connecting to TPU on Kaggle. Maybe try `tpu = tf.distribute.cluster_resolver.TPUClusterResolver() ` instead of using `tpu='... | 1,694 | 1,697 | 1,697 | NONE | null | ### System Info
transformers-4.32
python-3.8
### Who can help?
@Rocketknight1 @sanchit-gandhi@gante
### Information
- [x] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [x] My own task or dataset (giv... | {
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https://api.github.com/repos/huggingface/transformers/issues/26115 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26115/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26115/comments | https://api.github.com/repos/huggingface/transformers/issues/26115/events | https://github.com/huggingface/transformers/pull/26115 | 1,892,783,269 | PR_kwDOCUB6oc5aJOG3 | 26,115 | [VITS] Fix speaker_embed device mismatch | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_26115). All of your documentation changes will be reflected on that endpoint.",
"Requesting final review from @ArthurZucker. I can merge this once Arthur gives the thumbs-up and the final suggestion is added!"
] | 1,694 | 1,695 | 1,695 | CONTRIBUTOR | null | - pass device arg to speaker_id tensor
# What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/26114 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26114/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26114/comments | https://api.github.com/repos/huggingface/transformers/issues/26114/events | https://github.com/huggingface/transformers/pull/26114 | 1,892,658,836 | PR_kwDOCUB6oc5aIyyq | 26,114 | Update spectrogram and waveform model mapping for TTS/A pipeline | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@sanchit-gandhi I just tested, and I essentially get no output!\r\nDo you think that's good?",
"Requesting final review from Arthur! (who I believe is now on watch π)"
] | 1,694 | 1,694 | 1,694 | MEMBER | null | # What does this PR do?
Updates the mapping names for the models used for TTS & TTA pipelines.
Fixes # (issue)
`MODEL_FOR_TEXT_TO_SPECTROGRAM_NAMES` -> `MODEL_FOR_TEXT_TO_SPECTROGRAM_MAPPING_NAMES`
`MODEL_FOR_TEXT_TO_SPECTROGRAM_NAMES` -> `MODEL_FOR_TEXT_TO_WAVEFORM_MAPPING_NAMES`
## Who can review?
@ylac... | {
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https://api.github.com/repos/huggingface/transformers/issues/26113 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26113/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26113/comments | https://api.github.com/repos/huggingface/transformers/issues/26113/events | https://github.com/huggingface/transformers/issues/26113 | 1,892,640,552 | I_kwDOCUB6oc5wz2co | 26,113 | NLLB-CLIP model implementation | {
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"Hi @visheratin, awesome work! \r\n\r\nWe have recently been trying to push forΒ `model on the hub`Β and have as much support as we can there. It will also be easier to integrate it. Here is aΒ [tutorial](https://huggingface.co/docs/transformers/custom_models)Β if that sound good to you!",
"Thank you, @amyeroberts!\r... | 1,694 | 1,695 | null | NONE | null | ### Model description
Hi!
I recently trained a CLIP model with an NLLB text encoder to extend CLIP capabilities to 201 languages of the Flores-200 dataset. As far as the implementation goes, it is HF CLIP implementation with an M2M100 encoder from NLLB models. I'm wondering if you'd be interested in having NLLB-CLI... | {
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https://api.github.com/repos/huggingface/transformers/issues/26112 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26112/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26112/comments | https://api.github.com/repos/huggingface/transformers/issues/26112/events | https://github.com/huggingface/transformers/issues/26112 | 1,892,617,810 | I_kwDOCUB6oc5wzw5S | 26,112 | `model.get_input_embeddings()` returns an embedding size of 0 with DS-ZeRO3 | {
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"Hello, yes, that is the issue. Does the below code changes solve the issue?\r\n\r\n```\r\nembeddings = model.get_input_embeddings()\r\nwith deepspeed.zero.GatheredParameters(embeddings.weight, modifier_rank=None):\r\n embedding_size = embeddings.weight.shape[0]\r\n```\r\n\r\n",
"That works, thanks!\r\nShall I... | 1,694 | 1,697 | 1,697 | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.34.0.dev0
- Platform: Linux-5.15.0-1015-aws-x86_64-with-glibc2.10
- Python version: 3.8.13
- Huggingface_hub version: 0.17.1
- Safetensors version: 0.3.3
- Accelerate version: 0.22.0
- Accelerate config: not found
- PyTorch version (GPU?): 1.12.0a0+bd13bc6 (True)
... | {
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<!--
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Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
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https://api.github.com/repos/huggingface/transformers/issues/26110 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26110/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26110/comments | https://api.github.com/repos/huggingface/transformers/issues/26110/events | https://github.com/huggingface/transformers/issues/26110 | 1,892,366,539 | I_kwDOCUB6oc5wyzjL | 26,110 | [New model] Phi-1 and Phi-1_5 | {
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"Hi @xenova , are you contributing this model(s)? If not, can I please take this issue?",
"@susnato I just made the request, so feel free to take it! π€"
] | 1,694 | 1,699 | 1,699 | CONTRIBUTOR | null | ### Model description
From their respective model cards,
phi-1:
> The language model phi-1 is a Transformer with 1.3 billion parameters, specialized for basic Python coding. Its training involved a variety of data sources, including subsets of Python codes from [The Stack v1.2](https://huggingface.co/datasets/... | {
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https://api.github.com/repos/huggingface/transformers/issues/26109 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26109/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26109/comments | https://api.github.com/repos/huggingface/transformers/issues/26109/events | https://github.com/huggingface/transformers/issues/26109 | 1,892,334,235 | I_kwDOCUB6oc5wyrqb | 26,109 | A potential bug in convert_llama_weights_to_hf.py | {
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"Hi @lumosity4tpj \r\nThanks a lot for your message. Your explanation seems to makes sense, note we used this script internally to convert Llama weights into HF format and it worked, we probably did not supported all possible edge cases but the conversion script would work for the models that are currently on the H... | 1,694 | 1,697 | 1,697 | NONE | null | ### System Info
I did not run the hf code, just found a potential bug while referring to the code
### Who can help?
@ArthurZucker and @younesbelkada
### Information
- [ ] The official example scripts
- [X] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE... | {
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https://api.github.com/repos/huggingface/transformers/issues/26107 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26107/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26107/comments | https://api.github.com/repos/huggingface/transformers/issues/26107/events | https://github.com/huggingface/transformers/issues/26107 | 1,892,146,620 | I_kwDOCUB6oc5wx928 | 26,107 | Too strange translation result in NLLB-200-3.3B | {
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"Hey π€ thanks for opening an issue! We try to keep the github issues for bugs/feature requests.\r\nYou should ask this kind of question on the [forum](https://discuss.huggingface.co/) instead? I'm sure the community will be of help!\r\n\r\nOtherwise I think it's expected as the distilled model was trained for lon... | 1,694 | 1,697 | 1,697 | NONE | null | ### System Info
- `transformers` version: 4.21.1
- Platform: Linux-5.15.0-83-generic-x86_64-with-glibc2.31
- Python version: 3.9.7
- Huggingface_hub version: 0.13.3
- PyTorch version (GPU?): 1.10.1+cu113 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
... | {
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https://api.github.com/repos/huggingface/transformers/issues/26106 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26106/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26106/comments | https://api.github.com/repos/huggingface/transformers/issues/26106/events | https://github.com/huggingface/transformers/pull/26106 | 1,892,001,974 | PR_kwDOCUB6oc5aGiWc | 26,106 | [`core`] Import tensorflow inside relevant methods in `trainer_utils` | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,694 | 1,694 | 1,694 | CONTRIBUTOR | null | # What does this PR do?
Imports tensorflow inside relevant methods in `trainer_utils`.
When Deepspeed and accelerate are available in your env, it will try to import transformers all the way down to https://github.com/huggingface/transformers/blob/main/src/transformers/trainer_utils.py#L49
Leading to considera... | {
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https://api.github.com/repos/huggingface/transformers/issues/26105 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26105/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26105/comments | https://api.github.com/repos/huggingface/transformers/issues/26105/events | https://github.com/huggingface/transformers/pull/26105 | 1,891,923,480 | PR_kwDOCUB6oc5aGRUR | 26,105 | Place AMD GPU tests in a separate workflow (correct branch) | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"LGTM waiting from transformers folks feedback βπ»",
"cc @ydshieh "
] | 1,694 | 1,694 | 1,694 | COLLABORATOR | null | As suggested https://github.com/huggingface/transformers/pull/26007#discussion_r1318684244 and discussed offline cc @mfuntowicz
Note: this PR merges into a branch, not main. | {
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https://api.github.com/repos/huggingface/transformers/issues/26104 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26104/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26104/comments | https://api.github.com/repos/huggingface/transformers/issues/26104/events | https://github.com/huggingface/transformers/pull/26104 | 1,891,921,620 | PR_kwDOCUB6oc5aGQ6a | 26,104 | Place AMD GPU tests in a separate workflow | {
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Note: this PR merges into a branch, not main. | {
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https://api.github.com/repos/huggingface/transformers/issues/26103 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26103/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26103/comments | https://api.github.com/repos/huggingface/transformers/issues/26103/events | https://github.com/huggingface/transformers/issues/26103 | 1,891,841,061 | I_kwDOCUB6oc5wwzQl | 26,103 | Add gradient_checkpointing_segment_size | {
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"Hi @zfang, thanks for opening this feature request and for the detailed explanation and diff! \r\n\r\nConfiguring the gradient checkpointing is indeed an interesting feature. In general, we try to keep our forward passes as simple as possible. As gradient checkpointing is used by most of our models, it is a change... | 1,694 | 1,708 | null | NONE | null | ### Feature request
Currently when we enable gradient checkpointing, e.g. in `LlamaModel`, we call `torch.utils.checkpoint.checkpoint` on every `LlamaDecoderLayer`. As per [Training Deep Nets with Sublinear Memory Cost](https://arxiv.org/pdf/1604.06174.pdf), https://github.com/cybertronai/gradient-checkpointing and hi... | {
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https://api.github.com/repos/huggingface/transformers/issues/26102 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26102/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26102/comments | https://api.github.com/repos/huggingface/transformers/issues/26102/events | https://github.com/huggingface/transformers/pull/26102 | 1,891,824,327 | PR_kwDOCUB6oc5aF772 | 26,102 | [FIX] resize_token_embeddings | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_26102). All of your documentation changes will be reflected on that endpoint.",
"I'm not so familiar with the transformers repo -- where should a test for this code go?",
"SHould be part of [this tests](https://github.com... | 1,694 | 1,695 | 1,695 | CONTRIBUTOR | null | # What does this PR do?
When `resize_token_embeddings(new_num_tokens, pad_to_multiple)` is called with `new_num_tokens` a multiple of `pad_to_multiple`, the model should be resized to `new_num_tokens`. Due to a math error, it is instead resized to `new_num_tokens+pad_to_multiple`. This PR fixes that bug.
@ArthurZ... | {
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https://api.github.com/repos/huggingface/transformers/issues/26101 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26101/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26101/comments | https://api.github.com/repos/huggingface/transformers/issues/26101/events | https://github.com/huggingface/transformers/issues/26101 | 1,891,552,474 | I_kwDOCUB6oc5wvsza | 26,101 | Adding new non-latin tokens to the T5 tokenizer creates unnecessary whitespaces | {
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"Hi @sl5035 π I see you're using quite an outdated version of transformers (from a ~6 months ago). Could you try upgrade to see if that solves your problem?\n\nEdit: It may have been fixed already at https://github.com/huggingface/transformers/commit/b52a03cd3bec92d0ee84f0b1f7edee0d5117200a (2 months ago)",
"Hey... | 1,694 | 1,699 | 1,699 | NONE | null | ### System Info
- `transformers` version: 4.27.4
- Platform: Linux-5.4.0-99-generic-x86_64-with-glibc2.29
- Python version: 3.8.10
- Huggingface_hub version: 0.15.1
- PyTorch version (GPU?): 2.0.1+cu117 (True)
- Tensorflow version (GPU?): 2.12.0 (True)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax... | {
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https://api.github.com/repos/huggingface/transformers/issues/26100 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26100/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26100/comments | https://api.github.com/repos/huggingface/transformers/issues/26100/events | https://github.com/huggingface/transformers/pull/26100 | 1,891,265,991 | PR_kwDOCUB6oc5aEDrC | 26,100 | Just testing improvements for the CI | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,694 | 1,695 | 1,695 | COLLABORATOR | null | # What does this PR do?
Nothing for now! | {
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https://api.github.com/repos/huggingface/transformers/issues/26099 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26099/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26099/comments | https://api.github.com/repos/huggingface/transformers/issues/26099/events | https://github.com/huggingface/transformers/issues/26099 | 1,891,256,044 | I_kwDOCUB6oc5wukbs | 26,099 | OWL-ViT box_predictor is wildly inefficient since box bias is not precomputed | {
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"Hi @5hadytru, thanks for raising this issue! \r\n\r\nIndeed - this isn't ideal. Would you like to open a PR to make the bias calculation a bit more sane and efficient? \r\n\r\ncc @rafaelpadilla ",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still n... | 1,694 | 1,697 | 1,697 | NONE | null | ### System Info
The box_predictor function computes box bias from scratch each time it is called, but box bias does not actually depend on anything besides the shape of the feature map (which depends on the batch size (which can be broadcasted), number of ViT patches, and ViT token dim) and therefore should be precomp... | {
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https://api.github.com/repos/huggingface/transformers/issues/26098 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26098/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26098/comments | https://api.github.com/repos/huggingface/transformers/issues/26098/events | https://github.com/huggingface/transformers/issues/26098 | 1,891,107,616 | I_kwDOCUB6oc5wuAMg | 26,098 | LoRA A and B param.requires_grad showing as false during training | {
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"Hi @RonanKMcGovern, this happens because you used `prepare_model_for_kbit_training` after loading the adapters. `prepare_model_for_kbit_training` should be used before adding the adapters to the quantized model. Another solution would be to fix `prepare_model_for_kbit_training` so that we only freeze the base mode... | 1,694 | 1,694 | 1,694 | NONE | null | ### System Info
I'm running the latest version of transformers in a Colab notebook.
I'm simply printing out the param.requires_grad in the model's named parameters to see if it is set True or false, and I'm finding that all have requires_grad set to false. If there is some other list showing the LoRA params with re... | {
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https://api.github.com/repos/huggingface/transformers/issues/26097 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26097/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26097/comments | https://api.github.com/repos/huggingface/transformers/issues/26097/events | https://github.com/huggingface/transformers/issues/26097 | 1,891,035,386 | I_kwDOCUB6oc5wtuj6 | 26,097 | Simplify cache interface for Falcon model | {
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"cc @Rocketknight1 ",
"Hi @RezaYazdaniAminabadi, yes, the cache is still a bit of a mess there! Falcon started as custom code, and I wrote the Hugging Face port of that custom code. The custom code copied the strange cache shapes from BLOOM, but there were issues in the implementation that severely hurt generatio... | 1,694 | 1,697 | 1,697 | CONTRIBUTOR | null | ### Feature request
Hi,
I have been looking at the Falcon modeling file and I am seeing that the cache interface might have got a bit too complicated! It, however, could have been simplified a bit.
There are the two functions, `_convert_cache_to_standard_format` and `_convert_to_rw_cache` which are called afte... | {
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https://api.github.com/repos/huggingface/transformers/issues/26096 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26096/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26096/comments | https://api.github.com/repos/huggingface/transformers/issues/26096/events | https://github.com/huggingface/transformers/issues/26096 | 1,890,919,153 | I_kwDOCUB6oc5wtSLx | 26,096 | Lllama2 layer outputs NaN when using dual GPU | {
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"Hey, is the `self.model` in `fp16` or `bfloat16`?",
"I was loading in `fp16`. Here are my configs\r\n\r\n```\r\nbnb_cfg = BitsAndBytesConfig(\r\n load_in_4bit=True,\r\n bnb_4bit_quant_type='nf4',\r\n bnb_4bit_use_double_quant=True,\r\n bnb_4bit_compute_dtype=torch.float16 # torch.bfloat16\r\n)\r\n\r\... | 1,694 | 1,703 | 1,696 | NONE | null | ### System Info
- `transformers` version: 4.33.1
- Platform: Linux-5.15.0-83-generic-x86_64-with-glibc2.31
- Python version: 3.9.17
- 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+cu118 (True)
- Tens... | {
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https://api.github.com/repos/huggingface/transformers/issues/26095 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26095/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26095/comments | https://api.github.com/repos/huggingface/transformers/issues/26095/events | https://github.com/huggingface/transformers/pull/26095 | 1,890,655,617 | PR_kwDOCUB6oc5aB_Q- | 26,095 | [docs] Updates to TTS task guide with regards to the new TTS pipeline | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,694 | 1,694 | 1,694 | CONTRIBUTOR | null | This PR adds:
- An example of inference with the newly added text-to-speech pipeline
- A necessary training code update to make sure the fine-tuned checkpoint is usable via the pipeline (saving the processor)
- An introduction example of inference with Bark and a link to the course for more examples
| {
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https://api.github.com/repos/huggingface/transformers/issues/26094 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26094/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26094/comments | https://api.github.com/repos/huggingface/transformers/issues/26094/events | https://github.com/huggingface/transformers/pull/26094 | 1,890,580,400 | PR_kwDOCUB6oc5aBvBJ | 26,094 | [AutoBackbone] Add test | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@amyeroberts feel free to take over, I see there's an issue regarding `TimmBackboneTester`",
"(She will be of for a while now, do you need this to be taken over?) ",
"I've fixed it, feel free to merge"
] | 1,694 | 1,695 | 1,695 | CONTRIBUTOR | null | # What does this PR do?
This PR adds a test which verifies that out_indices and out_features get saved properly.
The test fails if a Backbone class first inherits from `PretrainedConfig`, then from `BackboneConfigMixin`. | {
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https://api.github.com/repos/huggingface/transformers/issues/26093 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26093/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26093/comments | https://api.github.com/repos/huggingface/transformers/issues/26093/events | https://github.com/huggingface/transformers/issues/26093 | 1,890,579,291 | I_kwDOCUB6oc5wr_Nb | 26,093 | ODD BUG=latest version sentencepiece + latest version torch + old glibc | {
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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... | 1,694 | 1,697 | 1,697 | NONE | null | ### System Info
- `transformers` version: 4.34.0.dev0
- Platform: Linux-3.10.0-229.el7.x86_64-x86_64-with-glibc2.18
- 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+cu117 (True)... | {
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https://api.github.com/repos/huggingface/transformers/issues/26092 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26092/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26092/comments | https://api.github.com/repos/huggingface/transformers/issues/26092/events | https://github.com/huggingface/transformers/pull/26092 | 1,890,377,039 | PR_kwDOCUB6oc5aBCax | 26,092 | Add DINOv2 depth estimation | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@amyeroberts thanks for your review, I've addressed all comments. Feel free to merge :)",
"I've addressed all your comments, feel free to merge. To do:\r\n\r\n- [ ] update all checkpoints on the hub to use `size_divisor` rather tha... | 1,694 | 1,705 | 1,699 | CONTRIBUTOR | null | # What does this PR do?
Fixes #26057
PR that implements a part of #25799. It extends the DPT framework to use the `AutoBackbone` class. Next it uses `Dinov2Backbone` to convert the DINOv2+DPT checkpoints released by the authors [here](https://github.com/facebookresearch/dinov2/tree/main#pretrained-heads---depth-... | {
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https://api.github.com/repos/huggingface/transformers/issues/26091 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26091/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26091/comments | https://api.github.com/repos/huggingface/transformers/issues/26091/events | https://github.com/huggingface/transformers/pull/26091 | 1,890,207,975 | PR_kwDOCUB6oc5aAdRR | 26,091 | Fix `MarianTokenizer` to remove metaspace character in `decode` | {
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"> make sure the fast tokenizers also works!\r\n\r\nUnfortunately, there's no `MarianTokenizerFast` π
",
"Thanks for the review, @ArthurZucker!\r\nI added the following test (it checks with starting special characters in a string like an underscore).\r\n\r\n```python\r\ndef test_tokenizer_decode(self):\r\n t... | 1,694 | 1,694 | 1,694 | CONTRIBUTOR | null | # What does this PR do?
This PR fixes the `MarianTokenizer` so that it removes the metaspace character during decode (`β`).
Fixes #26018
## Who can review?
@ArthurZucker, @xenova | {
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https://api.github.com/repos/huggingface/transformers/issues/26090 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26090/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26090/comments | https://api.github.com/repos/huggingface/transformers/issues/26090/events | https://github.com/huggingface/transformers/pull/26090 | 1,890,022,930 | PR_kwDOCUB6oc5Z_0pO | 26,090 | [Core] Add lazy import structure to imports | {
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"Also cc @DN6 - this should then also improve importing from `diffusers`:\r\n\r\n`time python -c \"from diffusers import StableDiffusionPipeline\"` is pretty slow at the moment because of accelerate and this\r\n",
"_The documentation is not available anymore as the PR was closed or merged._",
"Failing tests see... | 1,694 | 1,694 | 1,694 | MEMBER | null | # What does this PR do?
<!--
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Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
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https://api.github.com/repos/huggingface/transformers/issues/26089 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26089/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26089/comments | https://api.github.com/repos/huggingface/transformers/issues/26089/events | https://github.com/huggingface/transformers/issues/26089 | 1,889,987,649 | I_kwDOCUB6oc5wpuxB | 26,089 | CFG for RWKV models | {
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"cc @ArthurZucker @gante ",
"Hey! Could you provide a full reproducer? `past_key_values` should be supported as its required for fast generation using `use_cache=True`! ",
"Hey @KnutJaegersberg π \r\n\r\nThe root issue is that RWKV, being an RNN at its core, does not have a growing key-value cache (`past_key_v... | 1,694 | 1,699 | 1,699 | NONE | null | ### System Info
- `transformers` version: 4.33.1
- Platform: Linux-5.10.192-1-MANJARO-x86_64-with-glibc2.38
- Python version: 3.10.9
- Huggingface_hub version: 0.15.1
- Safetensors version: 0.3.2
- Accelerate version: 0.22.0
- Accelerate config: not found
- PyTorch version (GPU?): 2.0.1+cu117 (True)
- Ten... | {
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https://api.github.com/repos/huggingface/transformers/issues/26088 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26088/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26088/comments | https://api.github.com/repos/huggingface/transformers/issues/26088/events | https://github.com/huggingface/transformers/issues/26088 | 1,889,663,696 | I_kwDOCUB6oc5wofrQ | 26,088 | BART Impelemntation in JAX vs Pytorch | {
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"Hi @DavidAkinpelu, 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.",
"Okay."
] | 1,694 | 1,694 | 1,694 | NONE | null | It is possible to initiate BART decoder as a less causal decoder based in Jax implementation and but It doesn't seems straight forward in Pytorch?
I there any reason why this is designed this way? | {
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https://api.github.com/repos/huggingface/transformers/issues/26087 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26087/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26087/comments | https://api.github.com/repos/huggingface/transformers/issues/26087/events | https://github.com/huggingface/transformers/pull/26087 | 1,889,611,853 | PR_kwDOCUB6oc5Z-bhu | 26,087 | Adding grounding dino | {
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"@EduardoPach Thanks for opening this model PR! From next week, I'll be away for a few weeks. If you need a review in that time please ping @rafaelpadilla. ",
"@rafaelpadilla hey, so I've finished implementing the model and validated with the original implementation. Still have to clean up some things and make su... | 1,694 | 1,708 | null | NONE | null | # What does this PR do?
This PR adds Grounding DINO
Fixes https://github.com/huggingface/transformers/issues/25423
To-Do's:
- [x] Port vision backbone
- [x] Port Text Backbone
- [x] Port Encoder
- [x] Port Decoder
- [x] Port tokenizer
- [x] Port Image processing
- [x] Validate results
- [x] Check do... | {
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https://api.github.com/repos/huggingface/transformers/issues/26086 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26086/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26086/comments | https://api.github.com/repos/huggingface/transformers/issues/26086/events | https://github.com/huggingface/transformers/pull/26086 | 1,889,452,162 | PR_kwDOCUB6oc5Z94LM | 26,086 | Mask2former hungarian matcher Add normalization before matmul | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_26086). All of your documentation changes will be reflected on that endpoint.",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please... | 1,694 | 1,697 | 1,697 | NONE | null | # What does this PR do?
<!--
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https://api.github.com/repos/huggingface/transformers/issues/26085 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26085/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26085/comments | https://api.github.com/repos/huggingface/transformers/issues/26085/events | https://github.com/huggingface/transformers/issues/26085 | 1,889,387,725 | I_kwDOCUB6oc5wncTN | 26,085 | AutoModel.from_pretrained is messing with stack traces in jupyter | {
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"Hi @qrdlgit, thanks for opening an issue!\r\n\r\nWould it be possible to share an example of the trackback itself and what it looks like? Just from this description it's not possible to know what the issue is. For example, what relevant frames are missing or what is considered to be 'wacky'.",
"This has been fix... | 1,694 | 1,694 | 1,694 | NONE | null | ### System Info
AutoModel.from_pretrained is messing with stack traces
I get these wacky stack traces displayed for unhandled exceptions after running AutoModel.from_pretrained("BAAI/bge-small-en"). Colored text, etc. Do. Not. Want.
Worse - these stack traces are missing relevant frames which make it impo... | {
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https://api.github.com/repos/huggingface/transformers/issues/26084 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26084/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26084/comments | https://api.github.com/repos/huggingface/transformers/issues/26084/events | https://github.com/huggingface/transformers/pull/26084 | 1,889,278,603 | PR_kwDOCUB6oc5Z9Umy | 26,084 | add zh translation for installation | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_26084). All of your documentation changes will be reflected on that endpoint.",
"> Thanks for your translation! π€\r\n> \r\n> For some reason, the second-level headings aren't being recognized so we're going to look into th... | 1,694 | 1,696 | 1,696 | CONTRIBUTOR | null | # What does this PR do?
- Add zh (Chinese) translation for installation section #20095
- Add installation to _toctree.yml
## Who can review?
Documentation: @sgugger @stevhliu and @MKhalusova
Anyone in the community is free to review the PR once the tests have passed. Feel free to tag
members/contributors who ... | {
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https://api.github.com/repos/huggingface/transformers/issues/26081 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26081/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26081/comments | https://api.github.com/repos/huggingface/transformers/issues/26081/events | https://github.com/huggingface/transformers/issues/26081 | 1,889,185,964 | I_kwDOCUB6oc5wmrCs | 26,081 | batching in pipeline gives single output | {
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"You are looping on the outputs of `pipe(KeyDataset(dataset, \"text\"), batch_size=8, truncation=\"only_first\")`.\r\nIf you just print `pipe(KeyDataset(dataset, \"text\"), batch_size=8, truncation=\"only_first\")` you'll see what you want. The example in the doc shows how you can create an iterator over these outp... | 1,694 | 1,695 | 1,694 | NONE | null | ### System Info
```
from transformers import pipeline
from transformers.pipelines.pt_utils import KeyDataset
import datasets
dataset = datasets.load_dataset("imdb", name="plain_text", split="unsupervised")
pipe = pipeline("text-classification", device=0)
for out in pipe(KeyDataset(dataset, "text"), batch_size=... | {
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https://api.github.com/repos/huggingface/transformers/issues/26080 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26080/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26080/comments | https://api.github.com/repos/huggingface/transformers/issues/26080/events | https://github.com/huggingface/transformers/issues/26080 | 1,889,071,391 | I_kwDOCUB6oc5wmPEf | 26,080 | Tesnsor size issue | {
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"Hi @J-JEMINA, 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.",
"Thank you so much for the information!\r\nBut when I post there the bot classifies it as spam and hides ... | 1,694 | 1,697 | 1,697 | NONE | null | Sorry! I am new here and didn't know where to post my query.
I am using PhageRBP detection which uses bioembeddings tool. In that, I am trying to create embeddings for a genome of e.coli phage of size 108485kb but I get this error immediately. I am working in Google Colab since I am a complete beginner and only comf... | {
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https://api.github.com/repos/huggingface/transformers/issues/26079 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26079/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26079/comments | https://api.github.com/repos/huggingface/transformers/issues/26079/events | https://github.com/huggingface/transformers/pull/26079 | 1,889,069,039 | PR_kwDOCUB6oc5Z8tP1 | 26,079 | reformat: change the eval_dataset * num_device code | {
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In this code, it appears that there might be some confusion regarding the assign of per_device_eval_batch_size to another variable and then multiplying it by jax.device_count(). However, there is a discrepancy between the code styles used for training and evaluation, which makes it less clear. To improve clarity a... | {
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https://api.github.com/repos/huggingface/transformers/issues/26078 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26078/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26078/comments | https://api.github.com/repos/huggingface/transformers/issues/26078/events | https://github.com/huggingface/transformers/issues/26078 | 1,889,053,696 | I_kwDOCUB6oc5wmKwA | 26,078 | broken FLAVA example code | {
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"Hi @morrisalp \r\nThanks for the issue, in fact, the documentation snippets looks wrong indeed. To retrieve `contrastive_logits_per_image `. one needs to use `FlavaForPreTraining` as the `global_contrastive_head` that is used to compute the contrastive logits seems to be available only for that class. \r\n\r\nThis... | 1,694 | 1,697 | 1,697 | NONE | null | ### System Info
`transformers==4.33.1`
### Who can help?
@ArthurZucker @younesbelkada @amyeroberts
### Information
- [X] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or dataset (give d... | {
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https://api.github.com/repos/huggingface/transformers/issues/26077 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26077/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26077/comments | https://api.github.com/repos/huggingface/transformers/issues/26077/events | https://github.com/huggingface/transformers/pull/26077 | 1,889,051,590 | PR_kwDOCUB6oc5Z8poq | 26,077 | docs: update link huggingface map | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_26077). All of your documentation changes will be reflected on that endpoint."
] | 1,694 | 1,694 | 1,694 | CONTRIBUTOR | null | Hi,
I have discovered that the link to the dataset mapping documentation is no longer up to date. Therefore, I have updated the link to the current version, which can be found here: https://huggingface.co/docs/datasets/process#map
I would like to cc @stevhliu for review my code. | {
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https://api.github.com/repos/huggingface/transformers/issues/26076 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26076/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26076/comments | https://api.github.com/repos/huggingface/transformers/issues/26076/events | https://github.com/huggingface/transformers/pull/26076 | 1,889,047,788 | PR_kwDOCUB6oc5Z8o3i | 26,076 | docs: feat: add llama2 notebook resources from OSSCA community | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_26076). All of your documentation changes will be reflected on that endpoint.",
"> Nice, thanks for creating a notebook! π€\r\n> \r\n> I wasn't able to get the code in it to run successfully though. I get the following erro... | 1,694 | 1,694 | 1,694 | CONTRIBUTOR | null | # What does this PR do?
Adds a notebook resource of LLaMA2 on how to fine-tune LLaMA2 as a Korean text classifier.
The notebook is created by our OSSCA community.
Part of https://github.com/huggingface/transformers/issues/20055
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss... | {
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https://api.github.com/repos/huggingface/transformers/issues/26075 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26075/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26075/comments | https://api.github.com/repos/huggingface/transformers/issues/26075/events | https://github.com/huggingface/transformers/issues/26075 | 1,889,013,226 | I_kwDOCUB6oc5wmA3q | 26,075 | what audio input files are supported by ASR model "openai/whisper-large-v2" on huggingface? | {
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"Hello @pythonvijay !\r\nI had a look at the hub & docs , in this case, the model [Usage section](https://huggingface.co/openai/whisper-large-v2#usage) to backtrack your challenge. \r\n\r\n1. As I'm understanding from [code snippets](https://huggingface.co/openai/whisper-large-v2#english-to-english), you donΒ΄t act... | 1,694 | 1,700 | 1,700 | NONE | null | Hi,
I am trying to use hugging face pipeline to invoke the model "openai/whisper-large-v2' to perform ASR task. Theerafter, I am wrapping the model within gradio as below but when I submit, I get an error.
Model card of this model says "To transcribe audio samples, the model has to be used alongside a [WhisperPr... | {
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https://api.github.com/repos/huggingface/transformers/issues/26108 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26108/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26108/comments | https://api.github.com/repos/huggingface/transformers/issues/26108/events | https://github.com/huggingface/transformers/issues/26108 | 1,892,184,988 | I_kwDOCUB6oc5wyHOc | 26,108 | Typo in the doc of AutoTokenizer? Two parameters for slow_tokenizer_class | {
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"Hi! i think this issue should be moved to the `transformers` repo",
"@xukp20 Indeed, thanks for pointing out! Would you like to open a PR to fix the typo? This way you get the github contribution. ",
"@amyeroberts Thanks, but I've never opened a PR for transformers before and never learned about writing the do... | 1,694 | 1,694 | 1,694 | NONE | null | **Is your feature request related to a problem? Please describe.**
The parameters [here](https://huggingface.co/docs/transformers/v4.33.0/en/model_doc/auto#transformers.AutoTokenizer.register.slow_tokenizer_class) contain two slow_tokenizer_class which should be a typo I think.
**Additional context**
Add any other... | {
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https://api.github.com/repos/huggingface/transformers/issues/26073 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26073/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26073/comments | https://api.github.com/repos/huggingface/transformers/issues/26073/events | https://github.com/huggingface/transformers/issues/26073 | 1,888,966,239 | I_kwDOCUB6oc5wl1Zf | 26,073 | Can't saved finetuned model in local machine | {
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"cc @younesbelkada ",
"Hi @50516017 \r\nThanks a lot for raising this up, \r\nThere are a couple of issues in your script\r\n\r\n1- You are performing pure fine-tuning with the 8-bit model, which is not supported. If you want to train models with 8-bit weights, you need attach adapters on it using `peft` package.... | 1,694 | 1,695 | 1,695 | NONE | null | ### System Info
Hi
I want to create fine tuning using "rinna/japanese-gpt-neox-3.6b-instruction-ppo" on windows os
However, when I ran training and tried to save, the following error occurred and the model was not saved to output_dir.
How should I solve it?
I am building an environment using WSL2 and installi... | {
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https://api.github.com/repos/huggingface/transformers/issues/26072 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26072/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26072/comments | https://api.github.com/repos/huggingface/transformers/issues/26072/events | https://github.com/huggingface/transformers/issues/26072 | 1,888,959,893 | I_kwDOCUB6oc5wlz2V | 26,072 | Regarding padding and batched inference for LLAMA-2 and CodeLLAMA | {
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"Hey! The warning is a general warning. `Left` padding is the usual recommendation, but the original Llama codebase (and Code-Llama is part of the Llama codebase) use a default `right` padding. Our goal is to have similar results out of the box (so right padding) but still allow users to have the best results and w... | 1,694 | 1,705 | 1,701 | NONE | null | ### System Info
Platform:
* transformers_version: "4.33.0.dev0"
* Python: 3.8
### Who can help?
@ArthurZucker @younesbelkada @gante
### Information
- [ ] The official example scripts
- [X] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as... | {
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https://api.github.com/repos/huggingface/transformers/issues/26071 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26071/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26071/comments | https://api.github.com/repos/huggingface/transformers/issues/26071/events | https://github.com/huggingface/transformers/issues/26071 | 1,888,927,354 | I_kwDOCUB6oc5wlr56 | 26,071 | can't use load_in_8bit in rinna/japanese-gpt-neox-3.6b-instruction-ppo | {
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Hi!
I want to use "rinna/japanese-gpt-neox-3.6b-instruction-ppo" model & want to use load_in_8bit.
but AutoModelForCausalLM.from_pretrained throw error
ValueError: The model you want to train is loaded in 8-bit precision. Training an 8-bit model is not supported yet.
when i tried training witho... | {
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https://api.github.com/repos/huggingface/transformers/issues/26070 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26070/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26070/comments | https://api.github.com/repos/huggingface/transformers/issues/26070/events | https://github.com/huggingface/transformers/issues/26070 | 1,888,878,797 | I_kwDOCUB6oc5wlgDN | 26,070 | Tokenizer and unicode problems | {
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"Sorry could you explain what « obabooga » is? ",
"text generation web UI, sorry for typo, should be oobabooga. For error log, I just had to change one more time....\r\n\r\n```\r\n if len(tokens) > 1 and tokens[0] == SPIECE_UNDERLINE and tokens[1] in self.all_special_tokens:\r\n\r\n # Log the te... | 1,694 | 1,695 | 1,695 | NONE | null | ### System Info
UnicodeEncodeError: 'charmap' codec can't encode character '\u016b' in position 13: character maps to <undefined>
This is new...
Next new issue: when using hardcut in oobabooga to use eos token, tokenizer can't handle two eos (or bos)-tokens.
All issues belongs to llama model (llama-2-13B he... | {
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https://api.github.com/repos/huggingface/transformers/issues/26069 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26069/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26069/comments | https://api.github.com/repos/huggingface/transformers/issues/26069/events | https://github.com/huggingface/transformers/pull/26069 | 1,888,875,464 | PR_kwDOCUB6oc5Z8IkE | 26,069 | refactor: change default block_size in block size > max position embeddings | {
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"Thank you for your helpful information. ",
"No worries @pphuc25! Would you like to open a PR to set the block size to the minimum of `(1024, config.max_position_embeddings)`? This will prevent the error when we set the block size > max position embeddings",
"That's the cool idea, I will do it, thank you @sanch... | 1,694 | 1,695 | 1,695 | CONTRIBUTOR | null | Hi,
In the original code, this appears to function correctly when the default block_size is set to 1024. However, I believe that this setting might potentially hinder the training performance. Therefore, I have adjusted the default to be max_position_embeddings when it doesn't match case.
I would like to cc @sanchit-... | {
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https://api.github.com/repos/huggingface/transformers/issues/26068 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26068/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26068/comments | https://api.github.com/repos/huggingface/transformers/issues/26068/events | https://github.com/huggingface/transformers/pull/26068 | 1,888,872,146 | PR_kwDOCUB6oc5Z8H9c | 26,068 | chore: correct update_step and correct gradient_accumulation_steps | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_26068). All of your documentation changes will be reflected on that endpoint."
] | 1,694 | 1,694 | 1,694 | CONTRIBUTOR | null | Hi,
As discussed in issue #25691, it seems that the update step is incorrect. I have made corrections to all the files to ensure synchronization. However, during my edits, I noticed that there were multiple instances of incorrect variable name `args.gradient_accumulation_steps` so I have rectified these issues as well... | {
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https://api.github.com/repos/huggingface/transformers/issues/26067 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26067/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26067/comments | https://api.github.com/repos/huggingface/transformers/issues/26067/events | https://github.com/huggingface/transformers/pull/26067 | 1,888,868,762 | PR_kwDOCUB6oc5Z8HVb | 26,067 | docs: add space to docs | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_26067). All of your documentation changes will be reflected on that endpoint."
] | 1,694 | 1,694 | 1,694 | CONTRIBUTOR | null | Hi,
In many code this seem that there no space in doc, so I add space to make this look better.
I would like to cc @amyeroberts to review my code.
thank you so much for reading my PR.
| {
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https://api.github.com/repos/huggingface/transformers/issues/26066 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26066/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26066/comments | https://api.github.com/repos/huggingface/transformers/issues/26066/events | https://github.com/huggingface/transformers/issues/26066 | 1,888,704,524 | I_kwDOCUB6oc5wk1gM | 26,066 | "RuntimeError: FlashAttention only supports fp16 and bf16 data type" when training llama-2-7b-hf on databricks-dolly-15k dataset | {
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"cc @younesbelkada ",
"Hello @DrishtiShrrrma\r\nYou are using a monkey-patched version of Llama modeling script so I can't really know what is going on under the hood.\r\nFlash Attention 2 support is being added https://github.com/huggingface/transformers/pull/25598 if you want to already use it please run:\r\n``... | 1,694 | 1,694 | 1,694 | NONE | null | ### System Info
transformers version: 4.34.0.dev0
Platform: Linux-5.15.109+-x86_64-with-glibc2.35
Python version: 3.10.12
Huggingface_hub version: 0.16.4
Safetensors version: 0.3.3
Accelerate version: 0.23.0.dev0
Accelerate config: Distributed environment: NO
Num processes: 1
Process index: 0
Local process ... | {
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https://api.github.com/repos/huggingface/transformers/issues/26065 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26065/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26065/comments | https://api.github.com/repos/huggingface/transformers/issues/26065/events | https://github.com/huggingface/transformers/issues/26065 | 1,888,684,455 | I_kwDOCUB6oc5wkwmn | 26,065 | ImportError: cannot import name 'check_peft_version' from 'transformers.utils' | {
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"CC @pacman100 ",
"Same problem here",
"Cc @pacman100 ",
"cc @younesbelkada as he has worked on the PEFT integration in Transformers and can quickly look into it",
"Hi @nrchan \r\nThanks for the issue, I tried to reproduce the issue and did not managed to. I used `transformers==4.33.0` and I tried your comm... | 1,694 | 1,706 | 1,694 | NONE | null | ### System Info
The error happens when I try to import Trainer
```python
from transformers import Trainer
```
Here's the traceback:
```
---------------------------------------------------------------------------
ImportError Traceback (most recent call last)
File /miniconda3/lib/... | {
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https://api.github.com/repos/huggingface/transformers/issues/26064 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26064/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26064/comments | https://api.github.com/repos/huggingface/transformers/issues/26064/events | https://github.com/huggingface/transformers/issues/26064 | 1,888,644,715 | I_kwDOCUB6oc5wkm5r | 26,064 | FLAVA returns unpooled embeddings by mistake | {
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"Hey! \r\nI don't really think this is a bug, as the comment mentions: `pooled_output = text_outputs[0] # last_hidden_state` maybe the name of the temporary variable `pooled_outputs` is wrong as it is using the last hidden states. \r\nThe documentation for the `pooled_output` states the following:\r\n\r\n> pooler_... | 1,694 | 1,699 | 1,699 | NONE | null | ### System Info
transformers v4.33.0
### Who can help?
@ArthurZucker @younesbelkada @amyeroberts
### Information
- [X] 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 d... | {
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https://api.github.com/repos/huggingface/transformers/issues/26063 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26063/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26063/comments | https://api.github.com/repos/huggingface/transformers/issues/26063/events | https://github.com/huggingface/transformers/pull/26063 | 1,888,557,235 | PR_kwDOCUB6oc5Z7KFY | 26,063 | [`CITests`] skip failing tests until #26054 is merged | {
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"fyi @amyeroberts and @LysandreJik to have a green weekend π ",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_26063). All of your documentation changes will be reflected on that endpoint."
] | 1,694 | 1,694 | 1,694 | COLLABORATOR | null | # What does this PR do?
Simply skips the 3 failing whisper test until @sanchit-gandhi finishes up #26054 | {
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https://api.github.com/repos/huggingface/transformers/issues/26062 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26062/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26062/comments | https://api.github.com/repos/huggingface/transformers/issues/26062/events | https://github.com/huggingface/transformers/issues/26062 | 1,888,437,671 | I_kwDOCUB6oc5wj0Wn | 26,062 | More explicit bounding box formats | {
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"Hi @tonydavis629, thanks for raising this issue. \r\n\r\nYes - this is something we've been thinking about a lot recently and it's on our roadmap to address! \r\n\r\ncc @rafaelpadilla "
] | 1,694 | 1,694 | null | NONE | null | ### Feature request
I am having a difficult time managing different bounding box formats in this library. For example, the DETR model preprocessor input format is COCO (xywh), but the output of the postprocessor is a pascal_voc (xyxy). Why not keep everything the same format? Furthermore, the documentation does not ... | {
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https://api.github.com/repos/huggingface/transformers/issues/26061 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26061/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26061/comments | https://api.github.com/repos/huggingface/transformers/issues/26061/events | https://github.com/huggingface/transformers/issues/26061 | 1,888,348,928 | I_kwDOCUB6oc5wjesA | 26,061 | How to perform batch inference? | {
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"I opened a PR for this in #24432 to illustrate it for GPT-2, but it will be incorporated in a bigger PR.\r\n\r\ncc @gante @stevhliu",
"See #24575",
"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 thr... | 1,694 | 1,698 | 1,697 | NONE | null | ### Feature request
I want to pass a list of tests to model.generate.
text = "hey there"
inputs = tokenizer(text, return_tensors="pt").to(0)
out = model.generate(**inputs, max_new_tokens=184)
print(tokenizer.decode(out[0], skip_special_tokens=True))
### Motivation
I want to do batch inference.
### Y... | {
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https://api.github.com/repos/huggingface/transformers/issues/26060 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26060/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26060/comments | https://api.github.com/repos/huggingface/transformers/issues/26060/events | https://github.com/huggingface/transformers/pull/26060 | 1,888,272,356 | PR_kwDOCUB6oc5Z6L_7 | 26,060 | Fix eval accumulation when `accelerate` > 0.20.3 | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_26060). All of your documentation changes will be reflected on that endpoint.",
"@muellerzr any thoughts :) ",
"Thanks! @amyeroberts @muellerzr is there any way to track when this fix will get added to a release?"
] | 1,694 | 1,694 | 1,694 | CONTRIBUTOR | null | As mentioned in: https://github.com/huggingface/transformers/issues/25641
Eval accumulation will never happen with `accelerate > 0.20.3`, so this change ensures that `sync_gradients` is ignored if accelerate is > 0.20.3
# What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/26059 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26059/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26059/comments | https://api.github.com/repos/huggingface/transformers/issues/26059/events | https://github.com/huggingface/transformers/pull/26059 | 1,888,170,499 | PR_kwDOCUB6oc5Z51fb | 26,059 | Remove unnecessary `view`s of `position_ids` | {
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"For context, I work in the [Torch-MLIR project](https://github.com/llvm/torch-mlir), which converts PyTorch models into [MLIR](https://mlir.llvm.org/). Handling the `view` op in its most general form (especially the use of `-1`s) has been a big challenge for us for a while now (there's some work we need to do to i... | 1,694 | 1,696 | 1,696 | CONTRIBUTOR | null | When `position_ids` is `None`, its value is generated using `torch.arange`, which creates a tensor of size `(seq_length + initial_val) - initial_val = seq_length`. The tensor is then unsqueezed, resulting in a tensor of shape `(1, seq_length)`. This means that the last `view` to a tensor of shape `(-1, seq_length)` is ... | {
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https://api.github.com/repos/huggingface/transformers/issues/26058 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26058/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26058/comments | https://api.github.com/repos/huggingface/transformers/issues/26058/events | https://github.com/huggingface/transformers/pull/26058 | 1,888,134,421 | PR_kwDOCUB6oc5Z5tos | 26,058 | Add LLM doc | {
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"Doc will also be released with blog post: https://github.com/huggingface/blog/pull/1473",
"_The documentation is not available anymore as the PR was closed or merged._",
"Thanks for the review @MKhalusova! \r\n\r\nAnswering the bullet points directly in line:\r\n\r\n> Given the level of detail, and the narrati... | 1,694 | 1,697 | 1,697 | MEMBER | null | # Optimize LLM tutorial
This PR adds the doc version of https://huggingface.co/blog/optimize-llm .
Given the many code snippets I think that the tutorial is a nice addition to the Transfomers docs. | {
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https://api.github.com/repos/huggingface/transformers/issues/26057 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26057/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26057/comments | https://api.github.com/repos/huggingface/transformers/issues/26057/events | https://github.com/huggingface/transformers/issues/26057 | 1,888,110,238 | I_kwDOCUB6oc5wikae | 26,057 | Dinov2 for depth estimation | {
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"Hi @rfan-debug, this would be a great contribution! \r\n\r\nIf you'd like to open a PR we'd be happy to review and answer any questions if you need help. \r\n\r\ncc @rafaelpadilla",
"Hi,\r\n\r\nSo I saw they released the DINOv2 checkpoints with a DPT head: https://github.com/facebookresearch/dinov2#pretrained-he... | 1,694 | 1,697 | 1,697 | NONE | null | ### Feature request
Dinov2's original repo has an example using Dinov2 backbone + DPT head for depth estimation [notebook link](https://github.com/facebookresearch/dinov2/blob/main/notebooks/depth_estimation.ipynb). If we can integrate it into `transformers` repo by adding a class `Dinov2ForImageDepthEstimation` and... | {
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https://api.github.com/repos/huggingface/transformers/issues/26056 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26056/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26056/comments | https://api.github.com/repos/huggingface/transformers/issues/26056/events | https://github.com/huggingface/transformers/pull/26056 | 1,888,064,580 | PR_kwDOCUB6oc5Z5ebV | 26,056 | safeguard torch distributed check | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,694 | 1,694 | 1,694 | CONTRIBUTOR | null | # What does this PR do?
1. Resolves https://github.com/huggingface/transformers/issues/26039
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https://api.github.com/repos/huggingface/transformers/issues/26055 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26055/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26055/comments | https://api.github.com/repos/huggingface/transformers/issues/26055/events | https://github.com/huggingface/transformers/issues/26055 | 1,887,991,935 | I_kwDOCUB6oc5wiHh_ | 26,055 | Device mismatch VITS speaker embedding and speaker_id | {
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"Hey @fakhirali - could you try using the official checkpoint (i.e. the one on the [kakao-enterprise org](https://huggingface.co/kakao-enterprise/vits-vctk)) and the following modified script?\r\n```python\r\nfrom transformers import VitsModel, AutoTokenizer\r\nimport torch\r\n\r\nmodel = VitsModel.from_pretrained(... | 1,694 | 1,695 | 1,695 | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.33.1
- Platform: Linux-6.2.0-32-generic-x86_64-with-glibc2.35
- Python version: 3.10.12
- Huggingface_hub version: 0.16.4
- Safetensors version: 0.3.3
- Accelerate version: not installed
- Accelerate config: not found
- PyTorch version (GPU?): 2.0.1+cu117 (True)
- ... | {
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https://api.github.com/repos/huggingface/transformers/issues/26054 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26054/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26054/comments | https://api.github.com/repos/huggingface/transformers/issues/26054/events | https://github.com/huggingface/transformers/pull/26054 | 1,887,734,836 | PR_kwDOCUB6oc5Z4Wul | 26,054 | [Whisper Tokenizer] Encode timestamps | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"BTW, do we expect this changes showing up on users' code results? I think it's yes, but wondering why it is OK?",
"Alright refactored the tokenizer a bit to maintain the same results as what we had before! Essentially, we only outp... | 1,694 | 1,694 | 1,694 | CONTRIBUTOR | null | # What does this PR do?
As described in #24476, we have uploaded the Whisper timestamp tokens to the tokenizers on the Hub. This requires updating of the Whisper tokenizer and tokenizer tests to handle the new added tokens
cc @ydshieh @ArthurZucker | {
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https://api.github.com/repos/huggingface/transformers/issues/26053 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26053/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26053/comments | https://api.github.com/repos/huggingface/transformers/issues/26053/events | https://github.com/huggingface/transformers/pull/26053 | 1,887,697,711 | PR_kwDOCUB6oc5Z4Os8 | 26,053 | [Whisper Tokenizer] Test timestamps | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_26053). All of your documentation changes will be reflected on that endpoint.",
"Hey!\r\n> the slow tokenizer removes spaces after special token ids \r\ncan be fixed by updating the AddedTokens to have lstrip and rstrip set... | 1,694 | 1,704 | 1,704 | CONTRIBUTOR | null | # What does this PR do?
Adds a test to check that the Whisper tokenizer correctly encodes/decodes the newly added timestamp tokens. This is quite a strict test since we check that the encoded id's match the expected id's, as well as the target string.
Currently, this test fails, since the slow tokenizer removes s... | {
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https://api.github.com/repos/huggingface/transformers/issues/26052 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26052/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26052/comments | https://api.github.com/repos/huggingface/transformers/issues/26052/events | https://github.com/huggingface/transformers/pull/26052 | 1,887,681,046 | PR_kwDOCUB6oc5Z4LCE | 26,052 | Docstring check | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"> what happens if the docstring contains argument name(s) that are not signature?\r\n\r\nThen the argument in the docstrings should be removed. The goal is to ensure consistency, and arguments not in the signature are often hidden fo... | 1,694 | 1,696 | 1,696 | COLLABORATOR | null | # What does this PR do?
This PR adds a new util script that checks docstrings documentation of the arguments match the signature. This first version only checks base objects (functions and classes) not class methods. It checks:
- that the defaults documented are the same as the signature
- applies our traditional ... | {
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https://api.github.com/repos/huggingface/transformers/issues/26051 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26051/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26051/comments | https://api.github.com/repos/huggingface/transformers/issues/26051/events | https://github.com/huggingface/transformers/issues/26051 | 1,887,592,435 | I_kwDOCUB6oc5wgl_z | 26,051 | [i18n-<languageCode>] Translating docs to <languageName> | {
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https://api.github.com/repos/huggingface/transformers/issues/26050 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26050/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26050/comments | https://api.github.com/repos/huggingface/transformers/issues/26050/events | https://github.com/huggingface/transformers/pull/26050 | 1,887,408,945 | PR_kwDOCUB6oc5Z3OlJ | 26,050 | Add torchaudio with rocm 5.6 to AMD Dockerfile | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@fxmarty Could you link to any relevant conversation / issue relating to this fix in the PR description? ",
"@amyeroberts we are enabling transformers CI on AMD GPUs as part of our partnership with them.\r\n\r\nI originally started... | 1,694 | 1,694 | 1,694 | COLLABORATOR | null | As per title
e.g. `CUDA_VISIBLE_DEVICES=0 pytest tests/models/wav2vec2/test_modeling_wav2vec2.py -s -vvvvv` now do pass. | {
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https://api.github.com/repos/huggingface/transformers/issues/26049 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26049/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26049/comments | https://api.github.com/repos/huggingface/transformers/issues/26049/events | https://github.com/huggingface/transformers/pull/26049 | 1,887,327,943 | PR_kwDOCUB6oc5Z29Bn | 26,049 | Normalize only if needed | {
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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... | 1,694 | 1,698 | 1,698 | CONTRIBUTOR | null | # Normalize tensor only if `std/mean` defined.
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https://api.github.com/repos/huggingface/transformers/issues/26048 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26048/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26048/comments | https://api.github.com/repos/huggingface/transformers/issues/26048/events | https://github.com/huggingface/transformers/issues/26048 | 1,887,299,183 | I_kwDOCUB6oc5wfeZv | 26,048 | Potential bug of the Bark implementation | {
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"Sorry, now I notice the `merge_context` context option during the GPT forward. I have no concern then. Closing the issue."
] | 1,694 | 1,694 | 1,694 | NONE | null | ### System Info
Hello,
I am not sure whether this is a bug, but I notice this suspicious line when tracing the whole implementation of Bark.
It seems the text tokens, prompting semantic tokens, and the continued semantic tokens should be concatenated along the time axis as shown by the official implementation:
... | {
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https://api.github.com/repos/huggingface/transformers/issues/26047 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26047/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26047/comments | https://api.github.com/repos/huggingface/transformers/issues/26047/events | https://github.com/huggingface/transformers/pull/26047 | 1,887,169,128 | PR_kwDOCUB6oc5Z2a9I | 26,047 | π [i18n-KO] Translated `llama2.md` to Korean | {
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"> μ’μ λ²μ κ°μ¬ν©λλ€! π μΌλΆ 리뷰λ₯Ό ν΄λ΄€μ΅λλ€. κ²ν λΆνλλ €μ!\r\n\r\n리뷰 κ°μ¬ν©λλ€! λ§μν΄μ£Όμ λΆλΆ λ°μνμ¬ μ»€λ°νμμ΅λλ€.",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_26047). All of your documentation changes will be reflected on that endpoint.",
"> Uhhh hellooo? This PR should unexist.\r\n\r\nHi! I di... | 1,694 | 1,694 | 1,694 | CONTRIBUTOR | null | <!-- PRμ μ λͺ©μ "π [i18n-KO] Translated `<your_file>.md` to Korean" μΌλ‘ λΆνλ립λλ€! -->
# What does this PR do?
Translated the `llama2.md` file of the documentation to Korean.
Thank you in advance for your review.
Part of https://github.com/huggingface/transformers/issues/20179
## Before reviewing
- [x] Check for... | {
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"This PR was closed because it contains incorrect commits."
] | 1,694 | 1,694 | 1,694 | CONTRIBUTOR | null | <!-- PRμ μ λͺ©μ "π [i18n-KO] Translated `<your_file>.md` to Korean" μΌλ‘ λΆνλ립λλ€! -->
# What does this PR do?
Translated the `llama2.md` file of the documentation to Korean.
Thank you in advance for your review.
Part of https://github.com/huggingface/transformers/issues/20179
## Before reviewing
- [ ] Check for... | {
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https://api.github.com/repos/huggingface/transformers/issues/26045 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26045/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26045/comments | https://api.github.com/repos/huggingface/transformers/issues/26045/events | https://github.com/huggingface/transformers/issues/26045 | 1,887,090,942 | I_kwDOCUB6oc5werj- | 26,045 | ImportError: cannot import name 'GPTQQuantizer' from partially initialized module 'optimum.gptq' | {
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"Hi @jessiewiswjc. This happens because you named your file auto_gptq.py. Please rename it and let me know if it works. ",
"> Hi @jessiewiswjc. This happens because you named your file auto_gptq.py. Please rename it and let me know if it works.\r\n\r\nThanks very much and it works after renaming."
] | 1,694 | 1,694 | 1,694 | NONE | null | ### System Info
- `transformers` version: 4.33.1
- Platform: Linux-3.10.0-1160.88.1.el7.x86_64-x86_64-with-glibc2.17
- Python version: 3.9.17
- 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+cu117 (True)... | {
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https://api.github.com/repos/huggingface/transformers/issues/26044 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26044/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26044/comments | https://api.github.com/repos/huggingface/transformers/issues/26044/events | https://github.com/huggingface/transformers/pull/26044 | 1,886,911,926 | PR_kwDOCUB6oc5Z1irW | 26,044 | π [i18n-KO] Translated `llama.md` to Korean | {
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"Hello, @stevhliu π\r\nShould we translate the `autodoc` part in model_doc too?",
"> λͺ¨λΈ λ¬Έμ λ²μμ μ°Έμ¬ν΄μ£Όμ
μ κ°μ¬ν©λλ€! μ’μ λ²μμ΄μμ π\r\n> μΌλΆ λ¬Έμ₯μ μλ‘μ΄ μ μμ λλ Έμ΅λλ€. κ²ν λΆνλλ €μ!\r\n\r\n리뷰 κ°μ¬ν©λλ€! μ½λ©νΈ λ¬μμ£Όμ κ²λ€μ΄ μ λΆ κ³ λ―Όνλ λΆλΆμ΄μλλ°, μ’μ νν μ°Ύμμ£Όμ
μ κ°μ¬ν΄μ π€©",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transforme... | 1,694 | 1,694 | 1,694 | CONTRIBUTOR | null | # What does this PR do?
Translated the `llama.md` file of the documentation to Korean π
Thank you in advance for your review!
Part of https://github.com/huggingface/transformers/issues/20179
## Before reviewing
- [x] Check for missing / redundant translations (λ²μ λλ½/μ€λ³΅ κ²μ¬)
- [x] Grammar Check (λ§μΆ€λ² κ²μ¬)
- ... | {
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https://api.github.com/repos/huggingface/transformers/issues/26043 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26043/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26043/comments | https://api.github.com/repos/huggingface/transformers/issues/26043/events | https://github.com/huggingface/transformers/issues/26043 | 1,886,804,648 | I_kwDOCUB6oc5wdlqo | 26,043 | Inconsistent tokenization across different runs (`WhisperTokenizerFast`) | {
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"This model uses `dropout: 0.1` \r\n\r\nThis means that by default it will ignore merges 10% of the time, leading to different tokenization.\r\nYou can ignore the dropout by setting it to 0. If the model was trained with it though it's expected that sometimes it should see different tokens, therefore the generation... | 1,694 | 1,694 | 1,694 | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.34.0.dev0
- Platform: Linux-5.15.109+-x86_64-with-glibc2.35
- Python version: 3.10.12
- Huggingface_hub version: 0.16.4
- Safetensors version: 0.3.3
- Accelerate version: not installed
- Accelerate config: not found
- PyTorch version (GPU?): 2.0.1+cu118 (False)
- T... | {
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https://api.github.com/repos/huggingface/transformers/issues/26042 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26042/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26042/comments | https://api.github.com/repos/huggingface/transformers/issues/26042/events | https://github.com/huggingface/transformers/pull/26042 | 1,886,679,199 | PR_kwDOCUB6oc5Z0wqx | 26,042 | [`Persimmon`] Add support for persimmon | {
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"Looks good so far, and the outputs are definitely better than purely random, so I suspect the port is mostly correct except for one detail somewhere.\r\n\r\nI don't want to double up on work, but let me know if you want me to take any part of the port!",
"_The documentation is not available anymore as the PR was... | 1,694 | 1,694 | 1,694 | COLLABORATOR | null | # What does this PR do?
Add support for the `Persimmon` models by Adept.
cc @Rocketknight1 | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,694 | 1,694 | 1,694 | COLLABORATOR | null | # What does this PR do?
Fixes #26038 were the `set_infilling_processor` was not properly reseting the template processing for `CodeLlama` | {
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https://api.github.com/repos/huggingface/transformers/issues/26040 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26040/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26040/comments | https://api.github.com/repos/huggingface/transformers/issues/26040/events | https://github.com/huggingface/transformers/pull/26040 | 1,886,671,829 | PR_kwDOCUB6oc5Z0u97 | 26,040 | Neurostimulation | {
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<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
Then, please replace this w... | {
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https://api.github.com/repos/huggingface/transformers/issues/26039 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26039/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26039/comments | https://api.github.com/repos/huggingface/transformers/issues/26039/events | https://github.com/huggingface/transformers/issues/26039 | 1,886,578,708 | I_kwDOCUB6oc5wcugU | 26,039 | Regression: Need to guard torch.distributed.is_initialized with torch.distributed.is_available | {
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"cc @pacman100 ",
"I am using FSDP to train 70B models according to your blog post @pacman100 . I found that https://github.com/huggingface/transformers/commit/73b13ac099443cf8297a4b729f00c907fa00f1b5 you add a `torch.distributed.is_initialized()` check. I found it is `False` when I use `accelerate launch`.\r\n\r... | 1,694 | 1,696 | 1,694 | NONE | null | ### System Info
- `transformers` version: 4.33.1
- Platform: macOS-13.5-arm64-arm-64bit
- Python version: 3.10.12
- Huggingface_hub version: 0.16.4
- Safetensors version: 0.3.3
- Accelerate version: not installed
- Accelerate config: not found
- PyTorch version (GPU?): 2.0.0 (False)
- Tensorflow version (GPU?)... | {
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https://api.github.com/repos/huggingface/transformers/issues/26038 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26038/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26038/comments | https://api.github.com/repos/huggingface/transformers/issues/26038/events | https://github.com/huggingface/transformers/issues/26038 | 1,886,481,787 | I_kwDOCUB6oc5wcW17 | 26,038 | `CodeLlamaTokenizerFast` behavior changes permanently after encoding a string containing `"<FILL_ME>"` | {
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"Good catch! The `set_infilling_processor` is missing it's early return statement! "
] | 1,694 | 1,694 | 1,694 | NONE | null | ### System Info
- `transformers` version: 4.34.0.dev0
- Platform: Linux-5.15.109+-x86_64-with-glibc2.35
- Python version: 3.10.12
- Huggingface_hub version: 0.16.4
- Safetensors version: 0.3.3
- Accelerate version: not installed
- Accelerate config: not found
- PyTorch version (GPU?): 2.0.1+cu118 (False)
- Ten... | {
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https://api.github.com/repos/huggingface/transformers/issues/26037 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26037/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26037/comments | https://api.github.com/repos/huggingface/transformers/issues/26037/events | https://github.com/huggingface/transformers/pull/26037 | 1,886,467,805 | PR_kwDOCUB6oc5Z0CpZ | 26,037 | [bnb] Let's make serialization of 4bit models possible | {
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"cc @younesbelkada @SunMarc ",
"## On storage format for the quantized parameters.\r\nRight now there is no clear separation of code to load a pretrained model in fp16/fp32 with subsequent quantisation and loading already quantized model. I noticed that for 8-bit it comes down to detecting `SCB` in state_dict.key... | 1,694 | 1,705 | 1,703 | CONTRIBUTOR | null | ## What does this PR do?
Purpose: enable saving and loading transformers models in 4bit formats.
tested with Bloom-560 and Llama-2-7b. Save - Load - match tensors and quant_states - match inference results.
## connection with bitsandbytes
Requires this PR in bitsandbytes: https://github.com/TimDettmers/bitsandb... | {
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https://api.github.com/repos/huggingface/transformers/issues/26036 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26036/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26036/comments | https://api.github.com/repos/huggingface/transformers/issues/26036/events | https://github.com/huggingface/transformers/issues/26036 | 1,886,402,833 | I_kwDOCUB6oc5wcDkR | 26,036 | Option to disable CodeCarbon | {
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"Hi @nebrelbug, thanks for raising this issue! \r\n\r\nSounds like a good idea to me. @muellerzr will know more about it than me and can advise. ",
"That sounds fine to me as well @nebrelbug. \r\n\r\nWe have a few options here:\r\n1. Globally disable `codecarbon` via an environmental variable (similar to `DISABLE... | 1,694 | 1,697 | 1,697 | CONTRIBUTOR | null | ### Feature request
- Allow disabling of CodeCarbon reporting, even when it's installed
### Motivation
I'm running code using the Trainer class across several nodes in an HPC environment using SLURM. It seems to automatically [use the CodeCarbon callback](https://huggingface.co/docs/transformers/v4.33.0/en/main_clas... | {
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https://api.github.com/repos/huggingface/transformers/issues/26035 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26035/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26035/comments | https://api.github.com/repos/huggingface/transformers/issues/26035/events | https://github.com/huggingface/transformers/pull/26035 | 1,886,368,755 | PR_kwDOCUB6oc5ZztHD | 26,035 | [docs] IDEFICS guide and task guides restructure | {
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"PR with images for the doc: https://huggingface.co/datasets/huggingface/documentation-images/discussions/175",
"_The documentation is not available anymore as the PR was closed or merged._",
"@LysandreJik Please suggest who else should be added as a reviewer. Thanks!",
"Think this is a bit in conflict with t... | 1,694 | 1,694 | 1,694 | CONTRIBUTOR | null | There are two now common approaches to solving tasks: fine-tuning specialized models, and prompting large models. While the fine-tuning approach is prominently featured in the docs, the latter one is not. At the same time, generation docs fall on the sidelines.
This PR includes two parts:
1. A guide to using IDEF... | {
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https://api.github.com/repos/huggingface/transformers/issues/26034 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26034/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26034/comments | https://api.github.com/repos/huggingface/transformers/issues/26034/events | https://github.com/huggingface/transformers/issues/26034 | 1,886,154,730 | I_kwDOCUB6oc5wbG_q | 26,034 | DistilBertForSequenceClassification 0% accuracy when fine-tuning (using from_pretrained()) | {
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"Hey! Thanks a lot for providing such a detailed issue π€ \r\nAs the documentation about the examples mentions:\r\n> While we strive to present as many use cases as possible, the scripts in this folder are just examples. It is expected that they wonβt work out-of-the box on your specific problem and that you will b... | 1,694 | 1,698 | 1,697 | NONE | null | ### System Info
- `transformers` version: 4.34.0.dev0
- Platform: Linux-5.4.0-153-generic-x86_64-with-glibc2.29
- Python version: 3.8.10
- Huggingface_hub version: 0.16.4
- Safetensors version: 0.3.1
- Accelerate version: 0.22.0.dev0
- Accelerate config: not found
- PyTorch version (GPU?): 2.0.1+cu117 (Tru... | {
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https://api.github.com/repos/huggingface/transformers/issues/26033 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26033/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26033/comments | https://api.github.com/repos/huggingface/transformers/issues/26033/events | https://github.com/huggingface/transformers/pull/26033 | 1,886,042,774 | PR_kwDOCUB6oc5Zymq3 | 26,033 | [fix] mc_logits.shape doesn't match mc_labels.shape | {
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"Hi @flybird11111, thanks for opening a PR! Could you write in the description what issue this is resolving? ",
"> Hi @flybird11111, thanks for opening a PR! Could you write in the description what issue this is resolving?\r\n\r\nI have described the prolem I encountered in the description.",
"> # What does thi... | 1,694 | 1,694 | 1,694 | CONTRIBUTOR | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/26032 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26032/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26032/comments | https://api.github.com/repos/huggingface/transformers/issues/26032/events | https://github.com/huggingface/transformers/pull/26032 | 1,886,036,790 | PR_kwDOCUB6oc5ZylXz | 26,032 | Make Whisper Encoder's sinusoidal PE non-trainable by default | {
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"Hey @gau-nernst - thanks very much for opening this PR! Looks like a great start already. I pushed the Flax changes in the latest commit. In short, the simplest way of setting the parameters to un-trainable in Flax is by stopping the back-prop through the layers. Otherwise, we need to explicitly pass a dict to the... | 1,694 | 1,697 | 1,697 | CONTRIBUTOR | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/26031 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26031/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26031/comments | https://api.github.com/repos/huggingface/transformers/issues/26031/events | https://github.com/huggingface/transformers/pull/26031 | 1,886,012,376 | PR_kwDOCUB6oc5ZygCt | 26,031 | Update missing docs on `activation_dropout` and fix DropOut docs for SEW-D | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_26031). All of your documentation changes will be reflected on that endpoint."
] | 1,694 | 1,694 | 1,694 | CONTRIBUTOR | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/26030 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26030/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26030/comments | https://api.github.com/repos/huggingface/transformers/issues/26030/events | https://github.com/huggingface/transformers/pull/26030 | 1,885,733,873 | PR_kwDOCUB6oc5ZxjBQ | 26,030 | update | {
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] | 1,694 | 1,694 | 1,694 | COLLABORATOR | null | # What does this PR do?
Test if tokenizers release will beark everything | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thanks for all the comments and suggestions! They should all be answered now"
] | 1,694 | 1,694 | 1,694 | CONTRIBUTOR | null | # What does this PR do?
Allows vision position embeddings to be interpolated. Thus allowing bigger images to be passed to the model.
Fixes issue #26154
## 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... | {
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"When running something like the following script:\r\n```python\r\nfrom src.transformers.__init__ import pipeline\r\n\r\nclassifier = pipeline(\r\n task=\"sentiment-analysis\",\r\n model=\"distilbert-base-uncased-finetuned-sst-2-english\",\r\n)\r\n\r\nres = classifier(\"Hello world args\", inputs=\"Hello worl... | 1,694 | 1,700 | 1,700 | 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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https://api.github.com/repos/huggingface/transformers/issues/26027 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/26027/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/26027/comments | https://api.github.com/repos/huggingface/transformers/issues/26027/events | https://github.com/huggingface/transformers/pull/26027 | 1,885,551,036 | PR_kwDOCUB6oc5Zw608 | 26,027 | [wip testing doc-builder] | {
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] | 1,694 | 1,695 | 1,695 | CONTRIBUTOR | null | Testing https://github.com/huggingface/doc-builder/pull/396
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