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https://api.github.com/repos/huggingface/transformers/issues/21185 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21185/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21185/comments | https://api.github.com/repos/huggingface/transformers/issues/21185/events | https://github.com/huggingface/transformers/issues/21185 | 1,548,622,972 | I_kwDOCUB6oc5cThx8 | 21,185 | "text2text-generation" pipeline fails when setting return_dict_in_generate=True | {
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"This is only valid if we indeed have the argument `return_dict_in_generate`. Otherwise the pipeline will also fail because `output_ids` will not be a dictionary. Pipelines in general currently don't support outputting anything else than the text prediction. See #21274. @Narsil do you think we could support somethi... | 1,674 | 1,678 | 1,678 | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.23.1
- Platform: macOS-12.5.1-arm64-arm-64bit
- Python version: 3.9.4
- Huggingface_hub version: 0.10.1
- PyTorch version (GPU?): 1.12.1 (False)
- Tensorflow version (GPU?): 2.10.0 (True)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not installed... | {
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https://api.github.com/repos/huggingface/transformers/issues/21184 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21184/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21184/comments | https://api.github.com/repos/huggingface/transformers/issues/21184/events | https://github.com/huggingface/transformers/issues/21184 | 1,548,356,659 | I_kwDOCUB6oc5cSgwz | 21,184 | ImportError: cannot import name 'LayoutLMv3ForTokenClassification' from 'transformers' (unknown location) | {
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"Hi,\r\n\r\nI'm not able to reproduce this error. It might make sense to uninstall and install transformers in a new, clean environment.",
"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\nPlea... | 1,674 | 1,677 | 1,677 | NONE | null | from transformers import LayoutLMv3ForTokenClassification
Unable to import LayoutLMv3 models
OS : Windows 10
Python : Python 3.9.4 (tags/v3.9.4:1f2e308, Apr 4 2021, 13:27:16) [MSC v.1928 64 bit (AMD64)] on win32
Package versions: transformers==4.26.0.dev0, torch==1.13.1
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https://api.github.com/repos/huggingface/transformers/issues/21183 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21183/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21183/comments | https://api.github.com/repos/huggingface/transformers/issues/21183/events | https://github.com/huggingface/transformers/issues/21183 | 1,548,274,046 | I_kwDOCUB6oc5cSMl- | 21,183 | RuntimeError: Tensors must be contiguous error while finetuning with deepspeed. | {
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"1.3B param of weights + grads + optim states in mixed precision would need about `18*1.3=24`GB of memory, plus you need more memory for activations and temps and cuda kernels.\r\n\r\nThe free colab account is too limited to do much on it with even a small model. It barely has any cpu memory so no memory to offload... | 1,674 | 1,677 | 1,677 | NONE | null | ### System Info
- `transformers` version: 4.25.1
- Platform: Linux-5.10.147+-x86_64-with-glibc2.29
- Python version: 3.8.10
- Huggingface_hub version: 0.11.1
- PyTorch version (GPU?): 1.13.1+cu116 (True)
- Tensorflow version (GPU?): 2.9.2 (True)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version:... | {
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https://api.github.com/repos/huggingface/transformers/issues/21182 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21182/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21182/comments | https://api.github.com/repos/huggingface/transformers/issues/21182/events | https://github.com/huggingface/transformers/issues/21182 | 1,538,604,669 | I_kwDOCUB6oc5btT59 | 21,182 | Exclude the parameters with `requires_grad=False` in the `Trainer` optimizer. | {
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"Sounds like a welcome change!"
] | 1,674 | 1,674 | 1,674 | NONE | null | ### Feature request
Attempt to optimize the training for models with weights/parameters that are set to `requires_grad=False`. This is done by excluding these parameters in the optimizer.
### Motivation
I am building a Seq2Seq model where I use a pre-trained model for the encoder. I freeze all the parameters of the ... | {
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https://api.github.com/repos/huggingface/transformers/issues/21181 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21181/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21181/comments | https://api.github.com/repos/huggingface/transformers/issues/21181/events | https://github.com/huggingface/transformers/pull/21181 | 1,538,602,251 | PR_kwDOCUB6oc5HqG0q | 21,181 | Updates to computer vision section of the Preprocess doc | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,674 | 1,674 | 1,674 | CONTRIBUTOR | null | This PR expands the Computer Vision section of the Preprocess doc to include a small explainer on the difference between image augmentation and image preprocessing, and what ImageProcessor handles. It also refactors the code example to use `ImageProcessor` for normalizing and converting images to tensors instead of `to... | {
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https://api.github.com/repos/huggingface/transformers/issues/21180 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21180/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21180/comments | https://api.github.com/repos/huggingface/transformers/issues/21180/events | https://github.com/huggingface/transformers/issues/21180 | 1,538,585,190 | I_kwDOCUB6oc5btPJm | 21,180 | How to use Ipex via transformers | {
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"Please use the [forums](https://discuss.huggingface.co/) for such question as we keep issues for bugs and feature requests only.",
"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... | 1,674 | 1,677 | 1,677 | NONE | null | ### Feature request
I saw you implemented Ipex. intel cpu optimisation but there is no any example how to use it via python. Only this example is available:
python run_qa.py \
--model_name_or_path csarron/bert-base-uncased-squad-v1 \
--dataset_name squad \
--do_eval \
--max_seq_length 384 \... | {
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https://api.github.com/repos/huggingface/transformers/issues/21179 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21179/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21179/comments | https://api.github.com/repos/huggingface/transformers/issues/21179/events | https://github.com/huggingface/transformers/issues/21179 | 1,538,534,300 | I_kwDOCUB6oc5btCuc | 21,179 | Whisper model adds "!" char in the beginning of each predicted audio transcription | {
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"@ArthurZucker \r\n\r\nCould it be the timestamps PR ? We did change the `force_bos_token_ids` but only when we want timestamps, right ?",
"I think it related to that indeed, I'll have a look!",
"Okay so the `WhisperTimestampProcessor` is always added to the list of logit processors. This is the cause of the er... | 1,674 | 1,674 | 1,674 | NONE | null | ### System Info
Google Colab instance with Tesla T4
- `transformers` version: 4.26.0.dev0
- Platform: Linux-5.10.147+-x86_64-with-glibc2.29
- Python version: 3.8.10
- Huggingface_hub version: 0.11.1
- PyTorch version (GPU?): 1.13.1+cu116 (True)
- Tensorflow version (GPU?): 2.9.2 (True)
- Flax version (CPU?/GP... | {
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https://api.github.com/repos/huggingface/transformers/issues/21178 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21178/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21178/comments | https://api.github.com/repos/huggingface/transformers/issues/21178/events | https://github.com/huggingface/transformers/pull/21178 | 1,538,527,431 | PR_kwDOCUB6oc5Hp2BA | 21,178 | Add disclaimer for necessary fake models | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,674 | 1,674 | 1,674 | COLLABORATOR | null | # What does this PR do?
This PR adds a disclaimer for the fake models we can't really remove since the canonical checkpoint is very big already. You can see the result in the [preview](https://moon-ci-docs.huggingface.co/docs/transformers/pr_21178/en/model_doc/gptj#transformers.GPTJModel.forward.example).
If this... | {
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https://api.github.com/repos/huggingface/transformers/issues/21177 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21177/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21177/comments | https://api.github.com/repos/huggingface/transformers/issues/21177/events | https://github.com/huggingface/transformers/pull/21177 | 1,538,400,318 | PR_kwDOCUB6oc5HpZ08 | 21,177 | Rewrite a couple of lines in the TF XLA doc | {
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"(Going to assume this one is small enough to merge without @sgugger approval, but feel free to yell at me if it wasn't!)",
"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,674 | 1,674 | 1,674 | MEMBER | null | This PR makes a quick edit at the top of the TF XLA doc to clarify that for training/inference you can just pass `jit_compile` to `model.compile()`! (cc @sayakpaul ) | {
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https://api.github.com/repos/huggingface/transformers/issues/21176 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21176/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21176/comments | https://api.github.com/repos/huggingface/transformers/issues/21176/events | https://github.com/huggingface/transformers/issues/21176 | 1,538,359,588 | I_kwDOCUB6oc5bsYEk | 21,176 | FlaxGPTNeoForCausalLM not working properly with fp16 when using left padding. | {
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"Hey @T-Almeida 👋 To be candid with you, I've never played with Flax + generate + fp16, so I can't confirm whether it is a model, generate, or flax issue without a deep dive :) In any case, I can tell you that we've stopped development on Flax, and that is why you won't see newer features there (such as the left p... | 1,674 | 1,674 | 1,674 | NONE | null | ### System Info
WARNING:tensorflow:From /usr/local/lib/python3.8/dist-packages/transformers/commands/env.py:52: is_gpu_available (from tensorflow.python.framework.test_util) is deprecated and will be removed in a future version.
Instructions for updating:
Use `tf.config.list_physical_devices('GPU')` instead.
WARN... | {
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https://api.github.com/repos/huggingface/transformers/issues/21175 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21175/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21175/comments | https://api.github.com/repos/huggingface/transformers/issues/21175/events | https://github.com/huggingface/transformers/pull/21175 | 1,538,338,014 | PR_kwDOCUB6oc5HpMUF | 21,175 | Fix `Mask2FormerForUniversalSegmentation` and failed tests | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,674 | 1,674 | 1,674 | COLLABORATOR | null | # What does this PR do?
For `Mask2FormerForUniversalSegmentation` , the tests `test_torchscript_xxx` fails due to `auxiliary_logits` in `Mask2FormerForUniversalSegmentationOutput`. This is a `list of dict of tensors`, which is not supported by torchscript tracing.
The related tests will pass if we don't output th... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,674 | 1,674 | 1,674 | COLLABORATOR | null | # What does this PR do?
Fix doctest CI, caused by a change in #20757. The change in multi-label example has some minor issue. See comments in the review. | {
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https://api.github.com/repos/huggingface/transformers/issues/21165 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21165/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21165/comments | https://api.github.com/repos/huggingface/transformers/issues/21165/events | https://github.com/huggingface/transformers/issues/21165 | 1,537,527,628 | I_kwDOCUB6oc5bpM9M | 21,165 | rag model evaluation program bug | {
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"This example relies on earlier version of Transformers and HuggingFace Hub, you should downgrade them.",
"@sgugger I'm sorry, can you give some advice about the version?I have tried several versions myself without success.",
"It looks like this example was released along with Transformers 3.2.0 or 3.3.0.",
"... | 1,674 | 1,677 | 1,677 | NONE | null | ### System Info
transformers=4.25.1
huggingface-hub=0.10.1
tokenizers =0.13.2
python=3.7
### Who can help?
_No response_
### Information
- [X] The official example scripts
- [ ] My own modified scripts
### Tasks
- [X] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own... | {
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https://api.github.com/repos/huggingface/transformers/issues/21164 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21164/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21164/comments | https://api.github.com/repos/huggingface/transformers/issues/21164/events | https://github.com/huggingface/transformers/pull/21164 | 1,537,468,646 | PR_kwDOCUB6oc5HmRsY | 21,164 | deleted references of self.vocab_size and self.type_vocab_size for multiple models [TF implementation] | {
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"Hi, @gante as you said [here](https://github.com/huggingface/transformers/pull/21065#issuecomment-1385233073) I made changes for `src/transformers/models/albert/modeling_tf_albert.py`, could you please check it? If it's ok then I will push other changes of other models.\r\n\r\nThe failed test `ci/circleci: check_r... | 1,674 | 1,674 | 1,674 | CONTRIBUTOR | null | # What does this PR do?
This PR deletes references of `self.vocab_size` and `self.type_vocab_size` for these models [Tensorflow implementation] : bert, albert, lxmert, electra, tapas, convbert, layoutlm, gpt2, camembert, clip, ctrl, deberta, deberta_v2, distilbert, esm, funnel, gptj, groupvit, longformer, mobileber... | {
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https://api.github.com/repos/huggingface/transformers/issues/21163 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21163/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21163/comments | https://api.github.com/repos/huggingface/transformers/issues/21163/events | https://github.com/huggingface/transformers/issues/21163 | 1,537,399,151 | I_kwDOCUB6oc5botlv | 21,163 | Output of finetuned facebook/wav2vec2-xls-r-300m model is getting incorrect | {
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"cc @sanchit-gandhi ",
"Hey @Shubhambugade09,\r\n\r\nCould you please try provide a google colab that easily reproduces your training run or maybe instead use the forum specific fine-tuning questions: https://discuss.huggingface.co/ \r\n\r\nThanks! ",
"Hey @patrickvonplaten\r\n\r\nI have send you the jupyter no... | 1,674 | 1,677 | 1,677 | NONE | null | ### System Info
Transformers 4.23.1
Pytorch 1.12.1
Datasets 2.4.0
Tokenizers 0.13.2
I have finetuned facebook/wav2vec2-xls-r-300m model on my own dataset. I have cross check my dataset twice is it correct format as like libri speech dataset. I have finetuned my code using reference of @patrickvonplaten
https:... | {
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https://api.github.com/repos/huggingface/transformers/issues/21162 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21162/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21162/comments | https://api.github.com/repos/huggingface/transformers/issues/21162/events | https://github.com/huggingface/transformers/pull/21162 | 1,537,372,991 | PR_kwDOCUB6oc5Hl93s | 21,162 | using raw string for regex to search <extra_id> | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,674 | 1,674 | 1,674 | CONTRIBUTOR | null | # What does this PR do?
Similar to this: https://github.com/huggingface/transformers/pull/21125
This change replaces the regex pattern written in a Unicode string with a raw string for these two files:
* `tokenization_t5.py`
* `test_tokenization_t5.py`
Also checked, and no more:)
## Before submitting
-... | {
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https://api.github.com/repos/huggingface/transformers/issues/21161 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21161/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21161/comments | https://api.github.com/repos/huggingface/transformers/issues/21161/events | https://github.com/huggingface/transformers/issues/21161 | 1,537,337,761 | I_kwDOCUB6oc5boemh | 21,161 | CodeGen Tokenizer Deletes Newline Symbols | {
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"Hi, @hellodanylo this looks like the same issue described in issue #21120, where the tokenizer strips the whitespace and \\n in front and at the end of the sentence. To overcome it use `tokenizer = AutoTokenizer.from_pretrained(\"Salesforce/codegen-350M-multi\")`.",
"cc @ArthurZucker ",
"@susnato thanks, using... | 1,674 | 1,677 | 1,677 | NONE | null | ### System Info
- `transformers` version: 4.25.1
- Platform: Linux-5.15.0-58-generic-x86_64-with-glibc2.35
- Python version: 3.9.13
- Huggingface_hub version: 0.10.0
- PyTorch version (GPU?): 1.12.1.post201 (False)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): 0.6.3 (cpu)
- Ja... | {
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https://api.github.com/repos/huggingface/transformers/issues/21160 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21160/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21160/comments | https://api.github.com/repos/huggingface/transformers/issues/21160/events | https://github.com/huggingface/transformers/pull/21160 | 1,537,049,793 | PR_kwDOCUB6oc5Hk6c8 | 21,160 | Fix typos in documentation | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Please make sure to run `make style` on your branch so that the quality scripts pass. Thank you!",
"Done, thanks @sgugger "
] | 1,673 | 1,674 | 1,674 | CONTRIBUTOR | null | Fixes to typos in documentation: @sgugger, @stevhliu and @MKhalusova | {
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https://api.github.com/repos/huggingface/transformers/issues/21159 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21159/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21159/comments | https://api.github.com/repos/huggingface/transformers/issues/21159/events | https://github.com/huggingface/transformers/issues/21159 | 1,537,023,347 | I_kwDOCUB6oc5bnR1z | 21,159 | Feature Request: VideoMAEForMaskedVideoModeling | {
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"Hi,\r\n\r\nThis is already available, the class is called [VideoMAEForPreTraining](https://huggingface.co/docs/transformers/model_doc/videomae#transformers.VideoMAEForPreTraining). To reconstruct pixel values, you can load the following model:\r\n```\r\nfrom transformers import VideoMAEForPreTraining\r\n\r\nmodel ... | 1,673 | 1,674 | 1,674 | CONTRIBUTOR | null | ### Feature request
Basically, it would be nice if we could fill in the masked video.
### Motivation
I doubt I'm the only person that would like to try/train this model for inpainting masked video.
### Your contribution
I guess I could contribute it since I went to the torchside | {
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https://api.github.com/repos/huggingface/transformers/issues/21158 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21158/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21158/comments | https://api.github.com/repos/huggingface/transformers/issues/21158/events | https://github.com/huggingface/transformers/pull/21158 | 1,537,019,647 | PR_kwDOCUB6oc5Hk0Bs | 21,158 | Adapt repository creation to latest hf_hub | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"> It also uses the new token keyword argument instead of use_auth_token,\r\n\r\nIt is indeed good practice to drop `use_auth_token` whenever possible when using `huggingface_hub` (in favor of `token`). Just to mention it, using `use_... | 1,673 | 1,674 | 1,674 | COLLABORATOR | null | # What does this PR do?
This PR adapts the code to push the trained model to the Hub to the latest APIs in `huggingface_hub`. In particular, `Repository` is no longer responsible for the distant repo creation, so this PR switches to the use of `create_repo`. We relied on this behavior in:
- the Trainer
- all PyTor... | {
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https://api.github.com/repos/huggingface/transformers/issues/21157 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21157/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21157/comments | https://api.github.com/repos/huggingface/transformers/issues/21157/events | https://github.com/huggingface/transformers/pull/21157 | 1,536,890,681 | PR_kwDOCUB6oc5HkYpk | 21,157 | Make `parallelism` for CircleCI jobs work - but keep it to be `1` for now | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"> Thanks for looking into this. As said internally I'm really not a fan of the split test reports this gets us at the end.\r\n\r\nI can probably try to concatenate the failed tests (with details) at the end - although so far I don't ... | 1,673 | 1,674 | 1,674 | COLLABORATOR | null | # What does this PR do?
Enable `parallelism` for CircleCI jobs. So far I only enable it for torch/tf/flax jobs. It can be switch off easily. | {
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https://api.github.com/repos/huggingface/transformers/issues/21156 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21156/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21156/comments | https://api.github.com/repos/huggingface/transformers/issues/21156/events | https://github.com/huggingface/transformers/issues/21156 | 1,536,855,554 | I_kwDOCUB6oc5bmo4C | 21,156 | [HF Trainer] [PyTorch FSDP] Add support for backward_prefetch, forward_prefetch, limit_all_gathers | {
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"cc @pacman100 ",
"There are also 2 newly added[ sharding strategies](https://pytorch.org/docs/master/fsdp.html#torch.distributed.fsdp.ShardingStrategy) with PyTorch 2.0: `HYBRID_SHARD` and `_HYBRID_SHARD_ZERO2` that can impact performance. ",
"The ^^ above fix only addes backward_prefetch and forward_prefetch ... | 1,673 | 1,685 | 1,675 | CONTRIBUTOR | null | ### **Feature request**
Can we add Trainer support for the following [FSDP](https://pytorch.org/docs/1.13/fsdp.html?highlight=fsdp#module-torch.distributed.fsdp) features? `backward_prefetch`, `forward_prefetch` and `limit_all_gathers`
### **Motivation**
`backward_prefetch`, `forward_prefetch` and `limit_all... | {
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https://api.github.com/repos/huggingface/transformers/issues/21155 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21155/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21155/comments | https://api.github.com/repos/huggingface/transformers/issues/21155/events | https://github.com/huggingface/transformers/pull/21155 | 1,536,843,075 | PR_kwDOCUB6oc5HkOi2 | 21,155 | Update examples with image processors | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"This broke the deepspeed tests. Fix is here: https://github.com/huggingface/transformers/pull/21283\r\n\r\nwhen modifying examples and breaking back compat please scan the slow tests and adjust those too. Thank you!\r\n\r\nThe reason... | 1,673 | 1,674 | 1,674 | COLLABORATOR | null | # What does this PR do?
Updates all of the feature extractor references to image processors in the `examples` folder.
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](https://github.com/hu... | {
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https://api.github.com/repos/huggingface/transformers/issues/21154 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21154/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21154/comments | https://api.github.com/repos/huggingface/transformers/issues/21154/events | https://github.com/huggingface/transformers/pull/21154 | 1,536,587,813 | PR_kwDOCUB6oc5HjYLG | 21,154 | CLI: update hub PR URL | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"It is already recent enough: the change was added in `v0.10.0` (see `1.` in `v0.10.0` breaking changes), which is our current minimum version"
] | 1,673 | 1,673 | 1,673 | MEMBER | null | # What does this PR do?
Keeps up with hub API changes, and updates the instruction to get the PR URL (which was returning an object) | {
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https://api.github.com/repos/huggingface/transformers/issues/21153 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21153/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21153/comments | https://api.github.com/repos/huggingface/transformers/issues/21153/events | https://github.com/huggingface/transformers/pull/21153 | 1,536,533,697 | PR_kwDOCUB6oc5HjMmc | 21,153 | Change variable name to prevent shadowing | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Since the changes are small, I guess it's good to merge but still confirming. ",
"Yes, one core maintainer approval is enough to merge."
] | 1,673 | 1,673 | 1,673 | MEMBER | null | This PR replaces the `input` variable with `input_string` to prevent shadowing caused by the `input()` function.
Thanks to @LysandreJik for catching it. | {
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https://api.github.com/repos/huggingface/transformers/issues/21152 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21152/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21152/comments | https://api.github.com/repos/huggingface/transformers/issues/21152/events | https://github.com/huggingface/transformers/pull/21152 | 1,536,526,000 | PR_kwDOCUB6oc5HjK_b | 21,152 | [DOCTEST] Refactor doctest for simplicity and safety | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_21152). All of your documentation changes will be reflected on that endpoint."
] | 1,673 | 1,682 | 1,682 | COLLABORATOR | null | # What does this PR do?
This a a draft PR to simplify the testing of documentation, which would rely on the `doctest` API.
The documentation tests related to any model added will also be run as part of the CI that are not slow, juste to make sure that we fix everything in one go. (and that the contributors have an e... | {
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https://api.github.com/repos/huggingface/transformers/issues/21151 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21151/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21151/comments | https://api.github.com/repos/huggingface/transformers/issues/21151/events | https://github.com/huggingface/transformers/issues/21151 | 1,536,499,901 | I_kwDOCUB6oc5blSC9 | 21,151 | Contrastive Search in .generate() function doesn't work with Half | {
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"Hey @sam-ulrich1 👋 \r\n\r\nTo be candid, fp16 was not a concern when writing contrastive search :) I've tried adding your suggested change and running the script below, but that was not enough to fix it\r\n\r\n```py\r\nfrom transformers import GPT2Tokenizer, OPTForCausalLM\r\nimport torch\r\n\r\ntokenizer = GPT2T... | 1,673 | 1,679 | 1,679 | NONE | null | ### System Info
The CLI fails but this is irrelevant to the problem
### Who can help?
@gante
### Information
- [ ] The official example scripts
- [X] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [X] My own task or dataset (give details ... | {
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https://api.github.com/repos/huggingface/transformers/issues/21150 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21150/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21150/comments | https://api.github.com/repos/huggingface/transformers/issues/21150/events | https://github.com/huggingface/transformers/pull/21150 | 1,536,283,439 | PR_kwDOCUB6oc5HiXXN | 21,150 | OPT: Fix batched generation with FLAX | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,673 | 1,674 | 1,674 | MEMBER | null | # What does this PR do?
Fixes #20666
OPT numerical masking was using `-inf` where the attention mask was `0`, which in turn caused the hidden states to be `nan` and derail the whole generation. Changing to a common masking value (`-1e9`) fixes the issue. I've also taken the opportunity to re-enable the commented... | {
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https://api.github.com/repos/huggingface/transformers/issues/21149 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21149/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21149/comments | https://api.github.com/repos/huggingface/transformers/issues/21149/events | https://github.com/huggingface/transformers/pull/21149 | 1,536,209,696 | PR_kwDOCUB6oc5HiHUz | 21,149 | Generate: TF contrastive search must pop `use_cache` from `model_kwargs` | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,673 | 1,673 | 1,673 | MEMBER | null | # What does this PR do?
Fixes a slow test that broke with #20994
(actually, more like ~25 slow tests 😅 ) | {
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https://api.github.com/repos/huggingface/transformers/issues/21148 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21148/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21148/comments | https://api.github.com/repos/huggingface/transformers/issues/21148/events | https://github.com/huggingface/transformers/pull/21148 | 1,536,032,468 | PR_kwDOCUB6oc5HhhV3 | 21,148 | Fixed num_channels!=3 normalization training [#20630] | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@NielsRogge CI is green, but I don't review (yet) the content of PR though",
"@NielsRogge \r\n\r\nI think it is already there: when I clicked `Squash and merge`, it shows at the end\r\n\r\n```\r\nCo-authored-by: Lay Jain <layjain@b... | 1,673 | 1,675 | 1,673 | COLLABORATOR | null | # What does this PR do?
Fork from #20630 (which is to fix https://github.com/huggingface/transformers/issues/20580 and https://github.com/huggingface/transformers/issues/19913) | {
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https://api.github.com/repos/huggingface/transformers/issues/21147 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21147/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21147/comments | https://api.github.com/repos/huggingface/transformers/issues/21147/events | https://github.com/huggingface/transformers/issues/21147 | 1,535,975,165 | I_kwDOCUB6oc5bjR79 | 21,147 | Fine tunning of Donut rvl-cdip throughing an error. module 'google.protobuf.descriptor' has no attribute '_internal_create_key' | {
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"This looks like an error we had with recent versions of protobuf. Are you absolutely sure the env information you are pasting is correct? Could you try doing `pip install protobuf<=3.20.2 --upgrade` in your env?",
"This issue has been automatically marked as stale because it has not had recent activity. If you t... | 1,673 | 1,677 | 1,677 | NONE | null | When I am trying to run these lines....
**from transformers import DonutProcessor, VisionEncoderDecoderModel, BartConfig
processor = DonutProcessor.from_pretrained("nielsr/donut-base")
model = VisionEncoderDecoderModel.from_pretrained("nielsr/donut-base", config=config)**
Getting this error
AttributeError Trac... | {
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https://api.github.com/repos/huggingface/transformers/issues/21146 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21146/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21146/comments | https://api.github.com/repos/huggingface/transformers/issues/21146/events | https://github.com/huggingface/transformers/pull/21146 | 1,535,890,700 | PR_kwDOCUB6oc5HhDhX | 21,146 | fix the issue that the output dict of jit model could not get [:2] | {
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"@yao-matrix",
"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,673 | 1,674 | 1,674 | CONTRIBUTOR | null | "TypeError: unhashable type: 'slice'"
Signed-off-by: Wang, Yi A <yi.a.wang@intel.com>
- pipelines: @Narsil
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https://api.github.com/repos/huggingface/transformers/issues/21145 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21145/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21145/comments | https://api.github.com/repos/huggingface/transformers/issues/21145/events | https://github.com/huggingface/transformers/issues/21145 | 1,535,717,928 | I_kwDOCUB6oc5biTIo | 21,145 | Unable to load weights from pytorch checkpoint file | {
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"Hi @manandey,\r\nHere is the error I get: \r\n```\r\nRuntimeError: PytorchStreamReader failed reading zip archive: failed finding central directory\r\n```\r\nYour saved model is probably corrupted, could you tell us how did you saved the model, or alternatively give it another try?",
"Hi @younesbelkada, when I t... | 1,673 | 1,673 | 1,673 | CONTRIBUTOR | null | ### System Info
I trained a model and uploaded the checkpoint in the Hub [here](https://huggingface.co/taskydata/deberta-v3-base_10xp3nirstbbflanseuni_10xc4). When I try to load the model, I get the following error message:
`OSError: Unable to load weights from pytorch checkpoint file for '/root/.cache/huggingface/hu... | {
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https://api.github.com/repos/huggingface/transformers/issues/21144 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21144/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21144/comments | https://api.github.com/repos/huggingface/transformers/issues/21144/events | https://github.com/huggingface/transformers/pull/21144 | 1,535,367,629 | PR_kwDOCUB6oc5HfUTA | 21,144 | Accept batched tensor of images as input to image processor | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,673 | 1,674 | 1,674 | COLLABORATOR | null | # What does this PR do?
Adds functionality to `image_utils` so that a batched tensor of images can be accepted as input to the image processors.
Fixes #21142 #14650
## 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 ... | {
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https://api.github.com/repos/huggingface/transformers/issues/21143 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21143/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21143/comments | https://api.github.com/repos/huggingface/transformers/issues/21143/events | https://github.com/huggingface/transformers/pull/21143 | 1,535,214,708 | PR_kwDOCUB6oc5HezeT | 21,143 | Fixes to TF collators | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,673 | 1,673 | 1,673 | MEMBER | null | This PR makes a couple of fixes to TF data collators:
1) Fixes an incorrect call to `is_integer` when the default data collator receives `tf.Tensor` input and is outputting `tf.Tensor` as well
2) Prefer "np" tensors rather than "tf" tensors when calling our collators via `to_tf_dataset`. This is because data prepro... | {
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https://api.github.com/repos/huggingface/transformers/issues/21142 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21142/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21142/comments | https://api.github.com/repos/huggingface/transformers/issues/21142/events | https://github.com/huggingface/transformers/issues/21142 | 1,535,162,783 | I_kwDOCUB6oc5bgLmf | 21,142 | Error when passing a tensor of images to CLIPProcessor | {
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"Seems like `is_batched` is at fault for this. Doc seems a bit lacking 😅 \r\nShould probably be replaced with : \r\n```python \r\ndef is_batched(img):\r\n if isinstance(img, (list, tuple)):\r\n return is_valid_image(img[0])\r\n return is_valid_image(img)\r\n```\r\nPretty sure this is expected as our t... | 1,673 | 1,674 | 1,674 | NONE | null | ### System Info
- huggingface_hub version: 0.11.1
- Platform: Linux-4.19.0-23-cloud-amd64-x86_64-with-glibc2.31
- Python version: 3.10.8
- Running in iPython ?: No
- Running in notebook ?: No
- Running in Google Colab ?: No
- Token path ?: /root/.huggingface/token
- Has saved token ?: False
- Configured git ... | {
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https://api.github.com/repos/huggingface/transformers/issues/21141 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21141/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21141/comments | https://api.github.com/repos/huggingface/transformers/issues/21141/events | https://github.com/huggingface/transformers/pull/21141 | 1,535,058,199 | PR_kwDOCUB6oc5HeRuD | 21,141 | feat: add standalone guide on XLA support. | {
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"@sayakpaul \r\n\r\nIt seems there is an issue with your CircleCI permissions.\r\nCould you try refreshing your permissions as shown [here](https://support.circleci.com/hc/en-us/articles/360048210711-How-to-Refresh-User-Permissions-)?",
"@ydshieh I don't have CircleCI signed in nor have I installed it here: https... | 1,673 | 1,673 | 1,673 | MEMBER | null | # What does this PR do?
We have had XLA support for our TF generation models (GPT2, Whisper, for example) for a while. This PR adds a standalone guide in the doc to discuss it.
Cc: @Rocketknight1 @amyeroberts @ydshieh | {
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https://api.github.com/repos/huggingface/transformers/issues/21140 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21140/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21140/comments | https://api.github.com/repos/huggingface/transformers/issues/21140/events | https://github.com/huggingface/transformers/pull/21140 | 1,535,003,285 | PR_kwDOCUB6oc5HeF2c | 21,140 | Rename test_feature_extraction files | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thank you @amyeroberts !\r\n\r\nI think there are a few lines in `tests/utils/test_add_new_model_like.py` to be changed, like\r\n\r\nhttps://github.com/amyeroberts/transformers/blob/6b10c045e259a47f3786ceb11089fe418828346e/tests/util... | 1,673 | 1,673 | 1,673 | COLLABORATOR | null | # What does this PR do?
Renames the tests for image processors: `test_feature_extraction_xxx.py` -> `test_image_processing_xxx.py`
A follow up PR will change the feature extractor references to equivalent image processor ones in the files.
## Before submitting
- [ ] This PR fixes a typo or improves the doc... | {
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https://api.github.com/repos/huggingface/transformers/issues/21139 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21139/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21139/comments | https://api.github.com/repos/huggingface/transformers/issues/21139/events | https://github.com/huggingface/transformers/pull/21139 | 1,534,954,008 | PR_kwDOCUB6oc5Hd7Kk | 21,139 | Added clefourrier as ref point for graph models in bug reports | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Also, I missed this file\r\n```\r\n.github/PULL_REQUEST_TEMPLATE.md\r\n```\r\nif you think it is relevant.",
"Add @sgugger for final review as I never changed these files before, and this is also more administrative decision :-)",
... | 1,673 | 1,673 | 1,673 | MEMBER | null | # What does this PR do?
Added myself as entry point for graph models in issue doc. | {
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https://api.github.com/repos/huggingface/transformers/issues/21138 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21138/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21138/comments | https://api.github.com/repos/huggingface/transformers/issues/21138/events | https://github.com/huggingface/transformers/issues/21138 | 1,534,768,182 | I_kwDOCUB6oc5berQ2 | 21,138 | Feature Request: Flax Whisper | {
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"cc @sanchit-gandhi ",
"Hey @OhadRubin! Thanks to the fantastic work by @andyehrenberg it's nearly complete: https://github.com/huggingface/transformers/pull/20479\r\n\r\nWill do a final review tomorrow and then get it merged asap!",
"This issue has been automatically marked as stale because it has not had rece... | 1,673 | 1,676 | 1,676 | NONE | null | ### Feature request
It already has TF and Pytorch support. Would be nice to use it on Flax as-well.
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https://api.github.com/repos/huggingface/transformers/issues/21137 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21137/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21137/comments | https://api.github.com/repos/huggingface/transformers/issues/21137/events | https://github.com/huggingface/transformers/issues/21137 | 1,534,747,033 | I_kwDOCUB6oc5bemGZ | 21,137 | microsoft/markuplm-base-finetuned-websrc fails when used in a `question-answering` pipeline | {
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"Hi,\r\n\r\nMarkupLM isn't supported by the QA pipeline, similar to how LayoutLM (and v2 and v3) aren't supported by it.\r\n\r\nThe reason for this is that MarkupLM requires additional inputs besides the ones that text models require, like `input_ids` and `attention_mask`. For LayoutLM, we created a separate `Docum... | 1,673 | 1,679 | 1,679 | NONE | null | ### System Info
Python 3.9.7
Transformers 4.25.1
`microsoft/markuplm-base-finetuned-websrc` fails when used in a `question-answering` pipeline (see test script below).
```
Traceback (most recent call last):
File "/Users/juliensimon/markuplm/app.py", line 24, in <module>
result = pipe(question="What are... | {
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https://api.github.com/repos/huggingface/transformers/issues/21136 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21136/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21136/comments | https://api.github.com/repos/huggingface/transformers/issues/21136/events | https://github.com/huggingface/transformers/pull/21136 | 1,534,731,378 | PR_kwDOCUB6oc5HdKqw | 21,136 | Fix `RealmModelIntegrationTest.test_inference_open_qa` | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,673 | 1,673 | 1,673 | COLLABORATOR | null | # What does this PR do?
The test `RealmModelIntegrationTest::test_inference_open_qa` fails since my PR #21000. This integration test creates a config manually by `config = RealmConfig()` and passes it to `from_pretrained`, therefore it doesn't have the attribute `searcher_seq_len` (which is removed in #21000).
Us... | {
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https://api.github.com/repos/huggingface/transformers/issues/21135 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21135/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21135/comments | https://api.github.com/repos/huggingface/transformers/issues/21135/events | https://github.com/huggingface/transformers/issues/21135 | 1,534,726,821 | I_kwDOCUB6oc5behKl | 21,135 | AttributeError: module 'tensorflow' has no attribute 'Tensor' when using documentation code (Tokenizer.batch_decode) | {
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"Hi, @gaurav-95 \r\nPlease run `transformers-cli env` in terminal and share the full system info so it's easier to reproduce the error.",
"transformers-cli env gives me this. \r\n\r\n```\r\nTraceback (most recent call last):\r\n File \"C:\\Users\\Admin\\AppData\\Local\\Programs\\Python\\Python38\\lib\\runpy.py\"... | 1,673 | 1,675 | 1,673 | NONE | null | ### System Info
Windows 10, VSCode
### Who can help?
_No response_
### Information
I was referring to the documentation on huggingface to run the facebook OPT model here:
https://huggingface.co/docs/transformers/main/en/model_doc/opt#transformers.OPTForCausalLM
And I've received the following err... | {
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https://api.github.com/repos/huggingface/transformers/issues/21134 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21134/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21134/comments | https://api.github.com/repos/huggingface/transformers/issues/21134/events | https://github.com/huggingface/transformers/pull/21134 | 1,534,720,239 | PR_kwDOCUB6oc5HdIPk | 21,134 | Add ConvNeXt-V2 Model | {
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"It does look like the model code is exactly the same at a first glance (saw everything is copied from ConvNext). If that is the case, yes to re-using the code of ConvNext, but if we need to make modifications in the convnext modeling file, we should add ConvNext V2 as a new model like in the PR.",
"> It does loo... | 1,673 | 1,676 | 1,676 | CONTRIBUTOR | null | # What does this PR do?
Adds ConvNeXt-V2 to transformers.
original repo: https://github.com/facebookresearch/ConvNeXt-V2
paper: https://arxiv.org/abs/2301.00808
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [ ] Did you read the [c... | {
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https://api.github.com/repos/huggingface/transformers/issues/21133 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21133/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21133/comments | https://api.github.com/repos/huggingface/transformers/issues/21133/events | https://github.com/huggingface/transformers/pull/21133 | 1,534,714,330 | PR_kwDOCUB6oc5HdG_g | 21,133 | [GIT] Fix training | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thanks, fixed now!"
] | 1,673 | 1,673 | 1,673 | CONTRIBUTOR | null | # What does this PR do?
This PR ensures that GIT can be properly fine-tuned. As GIT is a causal, GPT-like model that is also conditioned on CLIP-embedded image patches, one needs to only compute a loss on the predicted text tokens. | {
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https://api.github.com/repos/huggingface/transformers/issues/21132 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21132/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21132/comments | https://api.github.com/repos/huggingface/transformers/issues/21132/events | https://github.com/huggingface/transformers/pull/21132 | 1,534,577,693 | PR_kwDOCUB6oc5HcpoD | 21,132 | Fixing batching pipelines on single items for ChunkPipeline | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,673 | 1,673 | 1,673 | CONTRIBUTOR | null | # What does this PR do?
Fixing #20783
The issue was that the iterator would not be called because of the input type.
Regardless of the input type, `ChunkPipeline` will always potentially be iterating over
its inputs in order to use batching.
<!--
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https://api.github.com/repos/huggingface/transformers/issues/21131 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21131/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21131/comments | https://api.github.com/repos/huggingface/transformers/issues/21131/events | https://github.com/huggingface/transformers/issues/21131 | 1,534,377,163 | I_kwDOCUB6oc5bdLzL | 21,131 | could set max_length or max_seq_length bigger than 512 in NER? | {
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"Please use the [forums](https://discuss.huggingface.co/) for such questions, as we keep issues for bugs and feature requests only.",
"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 no... | 1,673 | 1,677 | 1,677 | NONE | null | ### System Info
- `transformers` version: 4.26.0.dev0
- Platform: Linux-3.10.0-1160.81.1.el7.x86_64-x86_64-with-glibc2.17
- Python version: 3.9.15
- Huggingface_hub version: 0.11.1
- PyTorch version (GPU?): 1.13.1+cu116 (True)
- Tensorflow version (GPU?): 2.6.0 (True)
- Flax version (CPU?/GPU?/TPU?): not insta... | {
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https://api.github.com/repos/huggingface/transformers/issues/21130 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21130/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21130/comments | https://api.github.com/repos/huggingface/transformers/issues/21130/events | https://github.com/huggingface/transformers/pull/21130 | 1,534,065,944 | PR_kwDOCUB6oc5Ha6BA | 21,130 | Small simplification to TopKLogitsWarper | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"cc @gante "
] | 1,673 | 1,673 | 1,673 | CONTRIBUTOR | null | # What does this PR do?
The max of `top_k` and `min_tokens_to_keep` performed on every call can just be done once up-front.
Apologies if there's some reason for it being this way that I overlooked!
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's... | {
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https://api.github.com/repos/huggingface/transformers/issues/21129 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21129/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21129/comments | https://api.github.com/repos/huggingface/transformers/issues/21129/events | https://github.com/huggingface/transformers/issues/21129 | 1,533,939,165 | I_kwDOCUB6oc5bbg3d | 21,129 | Error 429 | {
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"Hi, @milohpeng the script you gave seems to run fine on my side, maybe it was an issue regarding your internet connection, can you try now again and check if it runs or not? Or run `transformers-cli env` in terminal and give your system info so we can reproduce the error.",
"Here is the information as requested,... | 1,673 | 1,701 | 1,677 | NONE | null | ### System Info
transformers==4.25.1
Code block:
from transformers import AutoTokenizer, AutoModelForMaskedLM
tokenizer = AutoTokenizer.from_pretrained("flax-community/roberta-base-thai")
model = AutoModelForMaskedLM.from_pretrained("flax-community/roberta-base-thai")
Error:
OSError: There was a specif... | {
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https://api.github.com/repos/huggingface/transformers/issues/21128 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21128/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21128/comments | https://api.github.com/repos/huggingface/transformers/issues/21128/events | https://github.com/huggingface/transformers/issues/21128 | 1,533,935,167 | I_kwDOCUB6oc5bbf4_ | 21,128 | TypeError: Descriptors cannot not be created directly. - protobuf version bug | {
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"Hi, @off99555 You might need to create a separate environment and then install transformers where you can have a different protobuf version than rest of your system.",
"@susnato but that is not considered trivial or acceptable, no? https://stackoverflow.com/a/6572017/2593810\r\nDo you mind sharing how you would ... | 1,673 | 1,692 | 1,673 | NONE | null | ### System Info
- `transformers` version: 4.25.1
- Platform: Windows-10-10.0.19045-SP0
- Python version: 3.8.15
- Huggingface_hub version: 0.10.1
- PyTorch version (GPU?): 1.13.1 (True)
- Tensorflow version (GPU?): 2.8.0 (True)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not installed
... | {
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https://api.github.com/repos/huggingface/transformers/issues/21127 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21127/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21127/comments | https://api.github.com/repos/huggingface/transformers/issues/21127/events | https://github.com/huggingface/transformers/issues/21127 | 1,533,449,427 | I_kwDOCUB6oc5bZpTT | 21,127 | MT5ForConditionalGeneration: forward() got an unexpected keyword argument 'penalty_alpha' | {
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"cc @gante ",
"Hi, @Mahyar-Ali \r\nI have transformers - 4.25.1 and used the code you gave (above) and it ran without any error, then I switched back to transformers - 4.16.2(same as your version) and it gave the error regarding \"penalty alpha\", I believe it is fixed in later versions of transformers, since I g... | 1,673 | 1,673 | 1,673 | NONE | null | When I use the MT5ForConditionalGeneration class to load an mt5 model and then specify the `penalty_alpha` parameter in the generate function, the library raises the error `forward() got an unexpected keyword argument 'penalty_alpha'`. But when I load the same model with `AutoModelForSeq2SeqLM` class, it doesn't raise ... | {
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https://api.github.com/repos/huggingface/transformers/issues/21126 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21126/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21126/comments | https://api.github.com/repos/huggingface/transformers/issues/21126/events | https://github.com/huggingface/transformers/issues/21126 | 1,533,427,806 | I_kwDOCUB6oc5bZkBe | 21,126 | CUDA out of memory for bart-large while using deepspeed with Zero stage 3 | {
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"Really, this is a question for the Deepspeed Issues since HF Trainer only provides the integration, but why do you expect that this is supposed to fit into 16GB? Colab barely has any cpu ram so very often there isn't really any free memory to offload to. \r\n\r\nBut let's figure out the math first and then it'd be... | 1,673 | 1,673 | 1,673 | NONE | null | ### System Info
- `transformers` version: 4.25.1
- Platform: Linux-5.10.147+-x86_64-with-glibc2.27
- Python version: 3.8.16
- Huggingface_hub version: 0.11.1
- PyTorch version (GPU?): 1.13.0+cu116 (True)
- Tensorflow version (GPU?): 2.9.2 (True)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version:... | {
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https://api.github.com/repos/huggingface/transformers/issues/21125 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21125/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21125/comments | https://api.github.com/repos/huggingface/transformers/issues/21125/events | https://github.com/huggingface/transformers/pull/21125 | 1,533,244,913 | PR_kwDOCUB6oc5HYROo | 21,125 | Use raw string for regex in tokenization_t5_fast.py | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,673 | 1,673 | 1,673 | CONTRIBUTOR | null | # What does this PR do?
This change replaces the regex pattern written in a Unicode string to a raw string, to suppress `DeprecationWarning`/`SyntaxError` around the pattern.
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did y... | {
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https://api.github.com/repos/huggingface/transformers/issues/21124 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21124/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21124/comments | https://api.github.com/repos/huggingface/transformers/issues/21124/events | https://github.com/huggingface/transformers/pull/21124 | 1,533,211,941 | PR_kwDOCUB6oc5HYK9s | 21,124 | [LongT5] Remove duplicate encoder_attention_mask default value check | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,673 | 1,673 | 1,673 | CONTRIBUTOR | null | # What does this PR do?
This PR performs a minor code clean-up by removing duplicate code in the LongT5 stack.
Currently, if the stack is a decoder block with `encoder_hidden_states` provided, the check for the existence of `encoder_attention_mask` is done twice:
1. https://github.com/huggingface/transformers/b... | {
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https://api.github.com/repos/huggingface/transformers/issues/21123 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21123/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21123/comments | https://api.github.com/repos/huggingface/transformers/issues/21123/events | https://github.com/huggingface/transformers/issues/21123 | 1,533,207,801 | I_kwDOCUB6oc5bYuT5 | 21,123 | Ernie-M | {
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"https://github.com/PaddlePaddle/ERNIE/blob/ernie-kit-open-v1.0/erniekit/modules/ernie.py\r\n\r\nhas more implementation details.",
"Hi, @shermansiu is there any pytorch/tf implementation of this model?",
"None that I'm aware of.\r\n\r\nAnyways, the author of [ERNIE-Pytorch](https://github.com/nghuyong/ERNIE-Py... | 1,673 | 1,676 | 1,676 | NONE | null | ### Model description
Ernie-M looks pretty good in multilingual benchmarks, beating XLM-Roberta.
Paddlepaddle recently added ernie-m to the huggingface repo, we can use it with paddlenlp.transformers.
Would be nice to have the model supported in huggingface transformer as well.
### Open source status
- [X] The ... | {
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https://api.github.com/repos/huggingface/transformers/issues/21122 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21122/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21122/comments | https://api.github.com/repos/huggingface/transformers/issues/21122/events | https://github.com/huggingface/transformers/issues/21122 | 1,533,185,765 | I_kwDOCUB6oc5bYo7l | 21,122 | FELIX: Flexible Text Editing Through Tagging and Insertion | {
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"Because FELIX can be applied to any encoder-only model, perhaps what is needed is an `AutoModelForSequenceEditing`/`<ModelName>ModelForSequenceEditing`?",
"Closing this as it's a duplicate of #11632"
] | 1,673 | 1,674 | 1,674 | CONTRIBUTOR | null | ### Model description
FELIX is an encoder-only text editing model, which allows for faster editing and summarization than sequence-to-sequence models, because the summarization can be computed in parallel instead of autoregressively.
- [Blog](https://ai.googleblog.com/2021/05/introducing-felix-flexible-text-editi... | {
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https://api.github.com/repos/huggingface/transformers/issues/21121 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21121/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21121/comments | https://api.github.com/repos/huggingface/transformers/issues/21121/events | https://github.com/huggingface/transformers/pull/21121 | 1,533,174,229 | PR_kwDOCUB6oc5HYD9Q | 21,121 | Add Epsilon- and Eta-Sampling | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_21121). All of your documentation changes will be reflected on that endpoint.",
"@gante I incorporated your changes! I rebased with `main` because there were some merge conflicts, which caused some of the review snippets ab... | 1,673 | 1,689 | 1,673 | CONTRIBUTOR | null | # What does this PR do?
<!--
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https://api.github.com/repos/huggingface/transformers/issues/21120 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21120/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21120/comments | https://api.github.com/repos/huggingface/transformers/issues/21120/events | https://github.com/huggingface/transformers/issues/21120 | 1,533,162,500 | I_kwDOCUB6oc5bYjQE | 21,120 | `PreTrainedTokenizer` (slow) strip tokens that are around `unique_no_split_tokens` | {
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"This is probably due to the following line, which is still not fixed in the HEAD.\r\n\r\nhttps://github.com/huggingface/transformers/blob/f58248b8240571bbbb0918ddd36cc3fdf061df11/src/transformers/tokenization_utils.py#L532-L537",
"This bug strips away `\\n` around my special token, making my model believe that t... | 1,673 | 1,695 | 1,695 | NONE | null | ### System Info
- `transformers` version: 4.24.0
- Platform: Linux-5.4.0-135-generic-x86_64-with-glibc2.31
- Python version: 3.10.8
- Huggingface_hub version: 0.11.1
- PyTorch version (GPU?): 1.13.1 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax ... | {
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https://api.github.com/repos/huggingface/transformers/issues/21119 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21119/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21119/comments | https://api.github.com/repos/huggingface/transformers/issues/21119/events | https://github.com/huggingface/transformers/issues/21119 | 1,533,085,868 | I_kwDOCUB6oc5bYQis | 21,119 | GPT2 tokenizer decode swallows space | {
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"Hi, @daniel-ziegler use `clean_up_tokenization_spaces=False` in `decode` so the code will be - \r\n`print(tokenizer.decode(tokens, clean_up_tokenization_spaces=False))` \r\nthis solves the problem,\r\n\r\nthanks, \r\nsusnato.",
"Indeed! Thanks for jumping this quickly @susnato 🤗",
"Thanks, that does work. I s... | 1,673 | 1,704 | 1,673 | NONE | null | ### System Info
- `transformers` version: 4.25.1
- Platform: Linux-5.15.0-56-generic-x86_64-with-glibc2.35
- Python version: 3.9.15
- Huggingface_hub version: 0.11.1
- PyTorch version (GPU?): 1.10.2+cu113 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): 0.4.1 (cpu)
- Jax v... | {
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https://api.github.com/repos/huggingface/transformers/issues/21118 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21118/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21118/comments | https://api.github.com/repos/huggingface/transformers/issues/21118/events | https://github.com/huggingface/transformers/issues/21118 | 1,532,936,901 | I_kwDOCUB6oc5bXsLF | 21,118 | Issue with ESM and DDP due to unused positional embeddings when rotary embeddings specified | {
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"Note that you can avoid any error by passing `find_unused_parameters=True` when wrapping your model in DDP.",
"This is part of the model design that I believe is in the original repo as well, but if it's still causing issues with @sgugger's fix, we can look into making a PR to remove the base positional embeddin... | 1,673 | 1,674 | 1,674 | NONE | null | ### System Info
Copy-and-paste the text below in your GitHub issue and FILL OUT the two last points.
- `transformers` version: 4.25.1
- Platform: Linux-5.4.0-136-generic-x86_64-with-glibc2.31
- Python version: 3.10.4
- Huggingface_hub version: 0.11.1
- PyTorch version (GPU?): 1.12.0 (True)
- Tensorflow version... | {
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https://api.github.com/repos/huggingface/transformers/issues/21117 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21117/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21117/comments | https://api.github.com/repos/huggingface/transformers/issues/21117/events | https://github.com/huggingface/transformers/issues/21117 | 1,532,886,242 | I_kwDOCUB6oc5bXfzi | 21,117 | Problem running a project with transformers | {
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"I am unable to reproduce on my side, even in a new environment an installing numpy 1.24.1. Could you maybe try a full re-install in a fresh environment?",
"It is a system-wide Python install, I currently don't have time to reinstall the whole system.\r\n\r\nI hot-fixed it by removing numpy from transformers/depe... | 1,673 | 1,702 | 1,677 | NONE | null | ### System Info
I am trying to run a project that uses transformers (whisper), I get this error message:
```
ValueError: Unable to compare versions for numpy>=1.17: need=1.17 found=None. This is unusual. Consider reinstalling numpy.
```
I have tried:
```
pip3 install numpy
pip3 install -I transformers --n... | {
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https://api.github.com/repos/huggingface/transformers/issues/21116 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21116/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21116/comments | https://api.github.com/repos/huggingface/transformers/issues/21116/events | https://github.com/huggingface/transformers/issues/21116 | 1,532,859,735 | I_kwDOCUB6oc5bXZVX | 21,116 | PushToHubCallback is hanging on the training completion | {
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"`PushToHubCallback(..., save_strategy=\"no\")` seems to fix the hanging problem but in that case the model will only be saved at the end of the training...",
"Investigating this now - PushToHubCallback shouldn't be hanging like this.",
"I tried running this locally and it ran successfully for me - is it possib... | 1,673 | 1,677 | 1,677 | CONTRIBUTOR | null | ### System Info
Adding a PushToHubCallback callback when training a TF model in a Jupyter notebook results in a cell hanging upon training completion. Nothing is pushed to Hub. Here's the callback:
```
push_to_hub_callback = PushToHubCallback(
output_dir="my_food_classifier",
tokenizer=image_processor,
... | {
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https://api.github.com/repos/huggingface/transformers/issues/21115 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21115/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21115/comments | https://api.github.com/repos/huggingface/transformers/issues/21115/events | https://github.com/huggingface/transformers/pull/21115 | 1,532,801,246 | PR_kwDOCUB6oc5HW0ox | 21,115 | Fixed typo in docstring | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Hi @sgugger,\r\n\r\nI've looked at the CircleCI test and it seems like it failed because of a timeout when installing from PIP, not because of styling. Is there any way to rerun the tests?",
"Indeed, everything is green on re-launc... | 1,673 | 1,673 | 1,673 | CONTRIBUTOR | null | # What does this PR do?
Missing 'to' in 'pad the inputs the maximum length'.
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https://api.github.com/repos/huggingface/transformers/issues/21114 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21114/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21114/comments | https://api.github.com/repos/huggingface/transformers/issues/21114/events | https://github.com/huggingface/transformers/issues/21114 | 1,532,730,066 | I_kwDOCUB6oc5bW5rS | 21,114 | Deprecating `position_ids` in GPTJ | {
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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... | 1,673 | 1,677 | 1,677 | NONE | null | ### System Info
latest transformers version, pytorch
### Who can help?
Hi @ArthurZucker and @younesbelkada, let me know if someone else should be tagged in this, esp. considering this is a harmless "bug", not something really urgent.
Basically what the title says: I think the position_ids in the [GPT-J code](http... | {
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https://api.github.com/repos/huggingface/transformers/issues/21113 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21113/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21113/comments | https://api.github.com/repos/huggingface/transformers/issues/21113/events | https://github.com/huggingface/transformers/pull/21113 | 1,532,727,858 | PR_kwDOCUB6oc5HWkqr | 21,113 | Fixing offline mode for pipeline (when inferring task). | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"> So the current `test_offline_mode` should be split in two, with one test just doing TRANSFORMERS_OFFLINE=1 and somehow testing there are no calls to the Hub, and a second test `test_cached_is_used_when_offline` where we do the mock... | 1,673 | 1,673 | 1,673 | CONTRIBUTOR | null | # What does this PR do?
```pyton
pipe = pipeline(model="xx")
```
Was actually using network even when `TRANSFORMERS_OFFLINE=1` was used.
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https://api.github.com/repos/huggingface/transformers/issues/21112 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21112/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21112/comments | https://api.github.com/repos/huggingface/transformers/issues/21112/events | https://github.com/huggingface/transformers/pull/21112 | 1,532,675,335 | PR_kwDOCUB6oc5HWZXh | 21,112 | Refactoring of the text generate API docs | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,673 | 1,674 | 1,673 | CONTRIBUTOR | null | This is part 2 of the refactoring efforts in the text generation docs. The first part (here - https://github.com/huggingface/transformers/pull/21090) adds an introductory guide with examples.
The second part of the refactor (this PR) reduces repetitive examples and somewhat trims down the API reference doc. Only docu... | {
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https://api.github.com/repos/huggingface/transformers/issues/21111 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21111/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21111/comments | https://api.github.com/repos/huggingface/transformers/issues/21111/events | https://github.com/huggingface/transformers/pull/21111 | 1,532,589,432 | PR_kwDOCUB6oc5HWGrj | 21,111 | [VideoMAE] Fix docstring | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Cc @ydshieh seems like the CI has only run 7 checks. Any idea why?",
"Because it doesn't touch any code. Tests are only run for code changes.",
"Because it doesn't touch any code. Tests are only run for code changes."
] | 1,673 | 1,673 | 1,673 | CONTRIBUTOR | null | # What does this PR do?
This PR fixes a docstring for VideoMAE (the model doesn't have a CLS token).
Fixes #21016 | {
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https://api.github.com/repos/huggingface/transformers/issues/21110 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21110/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21110/comments | https://api.github.com/repos/huggingface/transformers/issues/21110/events | https://github.com/huggingface/transformers/issues/21110 | 1,532,447,654 | I_kwDOCUB6oc5bV0um | 21,110 | Add support for BLIP and GIT in image-to-text and VQA pipelines | {
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"Hi @NielsRogge , can work on it?",
"Sure @atturaioe feel free to start working on it ",
" I am writing to inquire about the possibility of me starting work on this issue. @NielsRogge can I contribute?",
"@NielsRogge is this issue still open for contribution?",
"Yes ",
"@NielsRogge If nobody is working on... | 1,673 | 1,700 | null | CONTRIBUTOR | null | ### Feature request
BLIP and GIT are 2 recent additions in the library, providing state-of-the-art performance for tasks like image captioning and visual question answering (VQA). GIT is even capable of video captioning and video QA.
Hence it makes sense to support them in our image-to-text and VQA pipelines.
### ... | {
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https://api.github.com/repos/huggingface/transformers/issues/21109 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21109/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21109/comments | https://api.github.com/repos/huggingface/transformers/issues/21109/events | https://github.com/huggingface/transformers/pull/21109 | 1,532,382,346 | PR_kwDOCUB6oc5HVZmz | 21,109 | Add visualbert in visual question answering model mapping | {
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"No, but we should check if the pipeline testing (in the PR CI job page) runs against this newly added `visual_bert`.\r\n",
"_The documentation is not available anymore as the PR was closed or merged._",
"VisualBERT isn't supported by the VQA pipeline, the pipeline is currently very specifically implemented to ... | 1,673 | 1,700 | 1,673 | COLLABORATOR | null | Following the doc https://huggingface.co/docs/transformers/v4.25.1/en/model_doc/visual_bert#transformers.VisualBertForQuestionAnswering I reckon this one was missing.
## Who can review?
@ydshieh do I need to write any additional test for this?
| {
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https://api.github.com/repos/huggingface/transformers/issues/21108 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21108/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21108/comments | https://api.github.com/repos/huggingface/transformers/issues/21108/events | https://github.com/huggingface/transformers/issues/21108 | 1,532,365,733 | I_kwDOCUB6oc5bVgul | 21,108 | QuestionAnsweringPipeline top_k returns single result | {
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"You are entirely correct to wish for it.\r\n\r\nThe current behavior is linked to our commitment to not break things. \r\n\r\nIf you actually check out the code, you'll see this is an exception because there's only 1 returned value (Because only 1 return value is possible).\r\nhttps://github.com/huggingface/transf... | 1,673 | 1,673 | 1,673 | NONE | null | ### System Info
- `transformers` version: 4.24.0
- Platform: Linux-5.15.0-1025-gcp-x86_64-with-glibc2.31
- Python version: 3.9.15
- Huggingface_hub version: 0.10.1
- PyTorch version (GPU?): 1.9.0+cu111 (False)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- ... | {
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https://api.github.com/repos/huggingface/transformers/issues/21107 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21107/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21107/comments | https://api.github.com/repos/huggingface/transformers/issues/21107/events | https://github.com/huggingface/transformers/pull/21107 | 1,532,212,224 | PR_kwDOCUB6oc5HU0-S | 21,107 | Update `TFTapasEmbeddings` | {
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] | 1,673 | 1,673 | 1,673 | COLLABORATOR | null | # What does this PR do?
Update `TFTapasEmbeddings` to fix `test_embeddings_out_of_bounds_raise_exception` for `TFTapas`. | {
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https://api.github.com/repos/huggingface/transformers/issues/21106 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21106/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21106/comments | https://api.github.com/repos/huggingface/transformers/issues/21106/events | https://github.com/huggingface/transformers/pull/21106 | 1,532,202,897 | PR_kwDOCUB6oc5HUy6h | 21,106 | Update modeling doc strings FE -> IP | {
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] | 1,673 | 1,674 | 1,674 | COLLABORATOR | null | # What does this PR do?
Replaces references of feature extractors with image processors that had been missed in the first batch of changes
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](h... | {
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https://api.github.com/repos/huggingface/transformers/issues/21105 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21105/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21105/comments | https://api.github.com/repos/huggingface/transformers/issues/21105/events | https://github.com/huggingface/transformers/pull/21105 | 1,532,070,674 | PR_kwDOCUB6oc5HUWAq | 21,105 | Make `test_save_pretrained_signatures` slow test | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thanks! I'd like to have @Rocketknight1 and @gante approve on this before we merge (or find a way to make this test slower)."
] | 1,673 | 1,674 | 1,674 | COLLABORATOR | null | # What does this PR do?
`UtilsFunctionsTest.test_save_pretrained_signatures` in `tests/test_modeling_tf_common.py` is introduced on Oct. 2022, which runs about ~60 seconds, and failed a lot of times **on Push CI** due to the timeout limit on Push CI job setting (`PYTEST_TIMEOUT`).
Notice that, on CircleCI, we hav... | {
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https://api.github.com/repos/huggingface/transformers/issues/21104 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21104/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21104/comments | https://api.github.com/repos/huggingface/transformers/issues/21104/events | https://github.com/huggingface/transformers/pull/21104 | 1,531,945,616 | PR_kwDOCUB6oc5HT6rH | 21,104 | [Tokenizers] Fix a small typo | {
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] | 1,673 | 1,673 | 1,673 | COLLABORATOR | null | # What does this PR do?
Fixes #21073, there was a typo in the `__repr__` method of the `PretrainedTokenizer` which uses the previous `model_max_len` instead of `model_max_length` | {
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https://api.github.com/repos/huggingface/transformers/issues/21103 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21103/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21103/comments | https://api.github.com/repos/huggingface/transformers/issues/21103/events | https://github.com/huggingface/transformers/issues/21103 | 1,531,660,482 | I_kwDOCUB6oc5bS0jC | 21,103 | Fine-tuning wav2vec2 model: eval_loss & eval_wer keep increasing | {
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"It's hard to work out the exact issue but every time you run `ctc_finetune.py` you're resetting the learning rate and performing warmup all over again. This means that your training parameters are going to be all over the show so you only really want to run a training script once.\r\n\r\nWith a dataset that large,... | 1,673 | 1,677 | 1,677 | NONE | null | ### System Info
- transformers version: 4.22.0.dev0
- Platform: Linux-5.15.0-48-generic-x86_64-with-glibc2.10
- Python version: 3.8.8
- Huggingface_hub version: 0.8.1
- PyTorch version (GPU?): 1.12.1+cu116 (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/21102 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21102/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21102/comments | https://api.github.com/repos/huggingface/transformers/issues/21102/events | https://github.com/huggingface/transformers/pull/21102 | 1,531,076,400 | PR_kwDOCUB6oc5HQ_so | 21,102 | Fix `torchscript` tests for `AltCLIP` | {
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] | 1,673 | 1,673 | 1,673 | COLLABORATOR | null | # What does this PR do?
Fix `torchscript` tests for `AltCLIP`.
This model uses `roberta` as text model, which has
```python
self.register_buffer(
"token_type_ids", torch.zeros(self.position_ids.size(), dtype=torch.long), persistent=False
)
```
and this requires the change in thi... | {
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https://api.github.com/repos/huggingface/transformers/issues/21101 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21101/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21101/comments | https://api.github.com/repos/huggingface/transformers/issues/21101/events | https://github.com/huggingface/transformers/pull/21101 | 1,530,727,869 | PR_kwDOCUB6oc5HPzZe | 21,101 | Slightly better WandbCallback | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_21101). All of your documentation changes will be reflected on that endpoint.",
"@stevhliu, I seemed to have messed up the code quality steps. I'll fix that soon.",
"This issue has been automatically marked as stale becau... | 1,673 | 1,677 | 1,677 | CONTRIBUTOR | null | # What does this PR do?
Allows for more environment variables to be used with the `WandbCallback`. Prioritizes variables set in `TrainingArguments`
## 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 g... | {
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https://api.github.com/repos/huggingface/transformers/issues/21100 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21100/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21100/comments | https://api.github.com/repos/huggingface/transformers/issues/21100/events | https://github.com/huggingface/transformers/issues/21100 | 1,530,705,602 | I_kwDOCUB6oc5bPLbC | 21,100 | Models for low resource languages | {
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Hi, I was wondering if there is any way to take leverage of STOA models like [this](https://huggingface.co/facebook/bart-large-mnli) one by facebook and come up with a model for a low resource language, say Filipino using something like student-teacher methods.
My main aim is to come up with... | {
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https://api.github.com/repos/huggingface/transformers/issues/21099 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21099/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21099/comments | https://api.github.com/repos/huggingface/transformers/issues/21099/events | https://github.com/huggingface/transformers/pull/21099 | 1,530,544,862 | PR_kwDOCUB6oc5HPLV8 | 21,099 | [Time-Series] informer model | {
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"very cool! Having a look shortly!",
"> very cool! Having a look shortly!\n\nWow you saw it fast! right now it's just the template of the vanilla TS transformer. \n\nBTW I sent you an email :)",
"Hi, @NielsRogge and @kashif 🙂\r\n\r\nMaybe you have an example for a conversion script?\r\nI'm following the [How ... | 1,673 | 1,678 | 1,678 | CONTRIBUTOR | null | # What does this PR do?
Adding Time Series Informer model https://arxiv.org/abs/2012.07436
Related issue: #20903
@kashif :) | {
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"@Raman-Kumar Here is a first draft to get you started!\r\n\r\nI suggest you start by finding a checkpoint, then try to compare the execution step by step with the original model to make sure results are the same (I can provide you with the script I used for Graphormer if you need). I also added some todos in the c... | 1,673 | 1,677 | 1,677 | MEMBER | null | # What does this PR do?
Adds the TokenGT model for graph classification in Transformers.
Done:
- [x] Architecture ported
- [x] Collator (the model has no tokenizer) and preprocessing
Todo:
- [ ] Test results against original implementation, to make sure they are within precision range. Edit: exactly same r... | {
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https://api.github.com/repos/huggingface/transformers/issues/21097 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21097/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21097/comments | https://api.github.com/repos/huggingface/transformers/issues/21097/events | https://github.com/huggingface/transformers/issues/21097 | 1,530,080,941 | I_kwDOCUB6oc5bMy6t | 21,097 | Errors when using transformers dev install | {
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"This is not an error message, but a warning. It comes from TensorFlow warning you you don't have any GPU installed. This is nothing linked to Transformers.",
"Thanks! I see now that it was just taking a very long time to run, so I assumed the message was an error.",
"This is actually quite an odd error, though... | 1,673 | 1,676 | 1,673 | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.26.0.dev0
- Platform: Linux-5.15.0-57-generic-x86_64-with-glibc2.35
- Python version: 3.9.0
- Huggingface_hub version: 0.11.1
- PyTorch version (GPU?): 1.13.1+cu117 (False)
- Tensorflow version (GPU?): 2.11.0 (False)
- Flax version (CPU?/GPU?/TPU?): 0.5.0 (cpu)
- Ja... | {
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https://api.github.com/repos/huggingface/transformers/issues/21096 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21096/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21096/comments | https://api.github.com/repos/huggingface/transformers/issues/21096/events | https://github.com/huggingface/transformers/pull/21096 | 1,530,005,919 | PR_kwDOCUB6oc5HNWwY | 21,096 | WIP: Added basic eos token based pooling | {
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"Current informal tests to confirm that behavior isn't changed: \r\n\r\nIn original\r\n\r\n```\r\nfrom transformers import CLIPTokenizer, CLIPTextModel\r\ntokenizer=CLIPTokenizer.from_pretrained(\"CompVis/stable-diffusion-v1-4\", subfolder=\"tokenizer\")\r\ntext_encoder=CLIPTextModel.from_pretrained(\"CompVis/stabl... | 1,673 | 1,674 | 1,674 | NONE | null | # What does this PR do?
This PR is still a WIP. This is based on [this issue](https://github.com/huggingface/transformers/issues/21029). The main problem is that when new tokens are added to the tokenizer and text model and learned such as with [textual inversion](https://textual-inversion.github.io/) the clip text mo... | {
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https://api.github.com/repos/huggingface/transformers/issues/21095 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21095/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21095/comments | https://api.github.com/repos/huggingface/transformers/issues/21095/events | https://github.com/huggingface/transformers/pull/21095 | 1,530,005,566 | PR_kwDOCUB6oc5HNWrq | 21,095 | Clarify and add missing typical_p argument docstring. | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"cc @gante as well "
] | 1,673 | 1,673 | 1,673 | CONTRIBUTOR | null | # What does this PR do?
<!--
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Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
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https://api.github.com/repos/huggingface/transformers/issues/21094 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21094/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21094/comments | https://api.github.com/repos/huggingface/transformers/issues/21094/events | https://github.com/huggingface/transformers/issues/21094 | 1,529,987,680 | I_kwDOCUB6oc5bMcJg | 21,094 | device_map='auto' causes memory to not be freed with torch.cuda.empty_cache() | {
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"That is an interesting bug, but should probably be adressed in `accelerate` as using `device_map = \"auto\"` is reliant on the accelerate library. ",
"I think it's the 8bit part that may be causing the issue, actually ;-) ",
"I was able to reproduce the issue with `accelerate` loaded models (without 8-bit):\r\... | 1,673 | 1,677 | 1,677 | CONTRIBUTOR | null | ### System Info
If I load a model like this
```
model = AutoModelForCausalLM.from_pretrained("models/opt-13b", device_map='auto', load_in_8bit=True)
```
and then do
```
model = None
torch.cuda.empty_cache()
```
the VRAM is not freed. The only way I have found to release it is to kill the program and s... | {
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https://api.github.com/repos/huggingface/transformers/issues/21093 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21093/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21093/comments | https://api.github.com/repos/huggingface/transformers/issues/21093/events | https://github.com/huggingface/transformers/issues/21093 | 1,529,908,580 | I_kwDOCUB6oc5bMI1k | 21,093 | NaN when training "t5-small" with parallelize() on multiple GPUs | {
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"`parallelize()` is a deprecated function and should not be used. You should use the `accelerate` library see [here](https://github.com/huggingface/accelerate) ",
"@ArthurZucker \r\nThank you for your help. However, I use parallelize() because it can distribute layers of model to different GPUs, which is shown as... | 1,673 | 1,677 | 1,676 | NONE | null | ### System Info
* Platform: Linux-5.4.0-135-generic-x86_64-with-glibc2.27
* Python version: 3.10.8
* transformers version: 4.25.1
* huggingface-hub version: 0.11.1
* PyTorch version (GPU?): pytorch_1.13.1-cuda11.6-cudnn8-runtime
* Using GPU in script?: yes
* Using distributed or parallel set-up in script?: yes... | {
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https://api.github.com/repos/huggingface/transformers/issues/21092 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21092/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21092/comments | https://api.github.com/repos/huggingface/transformers/issues/21092/events | https://github.com/huggingface/transformers/issues/21092 | 1,529,794,552 | I_kwDOCUB6oc5bLs_4 | 21,092 | Add Epsilon and Eta sampling | {
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"cc @gante ",
"Yesterday's ACL 2023 tutorial on \"Generating Text from Large Language Models\" covers eta-sampling and more! John Hewitt, the first author of the eta-sampling paper, was one of the presenters for that tutorial!\r\n\r\nSite: https://rycolab.io/classes/acl-2023-tutorial/\r\nSlides: https://drive.goo... | 1,673 | 1,689 | 1,673 | CONTRIBUTOR | null | ### Feature request
I would like to add Epsilon and Eta sampling from [Truncation Sampling as Language Model Desmoothing](https://arxiv.org/abs/2210.15191). They are novel truncation sampling decoding algorithms that have led to better human judgement scores and less repetition than nucleus sampling.
- [Official re... | {
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https://api.github.com/repos/huggingface/transformers/issues/21091 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21091/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21091/comments | https://api.github.com/repos/huggingface/transformers/issues/21091/events | https://github.com/huggingface/transformers/pull/21091 | 1,529,457,008 | PR_kwDOCUB6oc5HLeGI | 21,091 | Support for custom model transform in `PreTrainedModel.from_pretrained` | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_21091). All of your documentation changes will be reflected on that endpoint.",
"I see the point, but then isn't bitsandbytes integration itself against the transformers philosophy as well? Why was bitsandbytes integrated i... | 1,673 | 1,676 | 1,676 | COLLABORATOR | null | Add the possibility to pass a custom transform with signature `(model: torch.nn.modules.module.Module, **kwargs) -> None` that can do any transform on the model.
This can be seen as an extension of the bitsandbytes integration to be able to pass any transform that e.g. modify the model's keys. A direct application i... | {
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https://api.github.com/repos/huggingface/transformers/issues/21090 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21090/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21090/comments | https://api.github.com/repos/huggingface/transformers/issues/21090/events | https://github.com/huggingface/transformers/pull/21090 | 1,529,453,000 | PR_kwDOCUB6oc5HLdOs | 21,090 | Add: An introductory guide for text generation | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Hi! Thank you all for the invaluable feedback! I have addressed all the comments and suggestions. Please let me know if there's anything else I need to improve or if we can merge this PR and https://github.com/huggingface/transformer... | 1,673 | 1,674 | 1,673 | CONTRIBUTOR | null | Context: current [text generation doc](https://huggingface.co/docs/transformers/main/en/main_classes/text_generation) is large, difficult to navigate, and may be overwhelming to users who are new to text generation.
I suggest splitting the document into two parts:
1. an introductory guide that explains the basic... | {
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https://api.github.com/repos/huggingface/transformers/issues/21089 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21089/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21089/comments | https://api.github.com/repos/huggingface/transformers/issues/21089/events | https://github.com/huggingface/transformers/issues/21089 | 1,529,295,034 | I_kwDOCUB6oc5bJzC6 | 21,089 | Different behavior in DistilBERT when using "inputs_embeds" | {
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"Hey, can you provide a reproducing script ? ",
"@ArthurZucker I don't think that I'll have soon time to prepare a reproducing script. But, I'm happy to give more details on the issue found.\r\n\r\nIn distilbert when input_embeds is not None, the self.embedding layer is skipped completely:\r\nhttps://github.com/h... | 1,673 | 1,677 | 1,677 | NONE | null | ### System Info
- `transformers` version: 4.24.0
- Platform: Linux-3.10.0-1160.80.1.0.1.el7.x86_64-x86_64-with-glibc2.27
- Python version: 3.10.8
- Huggingface_hub version: 0.11.1
- PyTorch version (GPU?): 1.12.1 (True)
@ArthurZucker @younesbelkada
### Reproduction
Do a forward pass with distilBERT pass... | {
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https://api.github.com/repos/huggingface/transformers/issues/21088 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21088/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21088/comments | https://api.github.com/repos/huggingface/transformers/issues/21088/events | https://github.com/huggingface/transformers/pull/21088 | 1,529,056,666 | PR_kwDOCUB6oc5HKHPO | 21,088 | fix typo in comment | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,673 | 1,673 | 1,673 | CONTRIBUTOR | null | Signed-off-by: xiaoyang zhu <zhuxiaoyang1996@gmail.com>
fix typo in comment
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https://api.github.com/repos/huggingface/transformers/issues/21087 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21087/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21087/comments | https://api.github.com/repos/huggingface/transformers/issues/21087/events | https://github.com/huggingface/transformers/issues/21087 | 1,528,969,839 | I_kwDOCUB6oc5bIjpv | 21,087 | GIT batch prediction seems to be broken | {
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"Hi,\r\n\r\nIf you want to run inference on individual frames, you'll need to use a model that expects individual frames, not videos.\r\n\r\nHere you're loading [microsoft/git-base-vatex](https://huggingface.co/microsoft/git-base-vatex), hence, it expects `pixel_values` of shape (batch_size, num_frames, num_channel... | 1,673 | 1,674 | 1,674 | NONE | null | ### System Info
```
name : transformers
version : 4.26.0.dev0
```
### Who can help?
@NielsRogge
### Information
- [ ] The official example scripts
- [X] My own modified scripts
### Tasks
... | {
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https://api.github.com/repos/huggingface/transformers/issues/21086 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21086/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21086/comments | https://api.github.com/repos/huggingface/transformers/issues/21086/events | https://github.com/huggingface/transformers/issues/21086 | 1,528,842,842 | I_kwDOCUB6oc5bIEpa | 21,086 | AutoModels for region-to-phrase-alignment and natural-language-for-visual-reasoning | {
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"Note that the ONNX conversion is now done directly in the optimum library, so this is probably where you would need to add something.",
"That's true, I'm doing the ONNX conversion from optimum. But optimum references AutoModels directly from transformers. I'd just program the AutoModel subclasses without any opt... | 1,673 | 1,676 | 1,676 | NONE | null | ### Feature request
Hi! Region to phrase alignment and natural language for visual reasoning have no AutoModels yet. @sgugger is it OK to open a PR and solve this?
### Motivation
This is an issue that I faced when exporting VisualBert to ONNX, since the task mapping can't be done without it. Adding it would allow us... | {
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