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https://api.github.com/repos/huggingface/transformers/issues/22794 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22794/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22794/comments | https://api.github.com/repos/huggingface/transformers/issues/22794/events | https://github.com/huggingface/transformers/issues/22794 | 1,670,000,996 | I_kwDOCUB6oc5jijFk | 22,794 | LLaMA FastTokenizer does not add `eos_token_id` at the end. | {
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"Yes! Quick fix, use the slow tokenizer. Otherwise I'll open a PR to add template processing! \r\nThanks for reporting!",
"But it shouldn't add an `eos` token right? The LM is not trained to generate a token after the `eos` I believe.",
"> But it shouldn't add an `eos` token right? The LM is not trained to gene... | 1,681 | 1,707 | 1,684 | NONE | null | ### System Info
- `transformers` version: 4.29.0.dev0
- Platform: Linux-4.18.0-305.19.1.el8_4.x86_64-x86_64-with-glibc2.28
- Python version: 3.9.7
- Huggingface_hub version: 0.13.3
- Safetensors version: 0.3.0
- PyTorch version (GPU?): 2.1.0.dev20230411+cu117 (True)
- Tensorflow version (GPU?): not installed (NA... | {
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https://api.github.com/repos/huggingface/transformers/issues/22793 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22793/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22793/comments | https://api.github.com/repos/huggingface/transformers/issues/22793/events | https://github.com/huggingface/transformers/pull/22793 | 1,669,994,906 | PR_kwDOCUB6oc5OaohU | 22,793 | 🌐 [i18n-KO] Translated `run_scripts.mdx` to Korean | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,681 | 1,682 | 1,682 | CONTRIBUTOR | null | <!-- PR의 제목은 "🌐 [i18n-KO] Translated `<your_file>.mdx` to Korean" 으로 부탁드립니당 -->
# What does this PR do?
Translated the `run_scripts.mdx` file of the documentation to Korean.
Thank you in advance for your review.
Part of https://github.com/huggingface/transformers/issues/20179
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"@RiverGao - could you retry running these steps with the most recent version of transformers? Llama was under a lot of development and has only be officially added to the library in the most recent release - v4.28.0 (4.28.0.dev is some commit between 4.27 and 4.28). This ensures that you have all the most recent ... | 1,681 | 1,686 | 1,686 | NONE | null | ### System Info
## System info
- Transformer Version: 4.28.0.dev0
- Platform: Ubuntu 18.04.3 LTS (GNU/Linux 4.15.0-194-generic x86_64)
- GPU: Nvidia Tesla V100 SXM2 32GB
- CUDA version: 11.0
- PyTorch version: 1.12.1
## Summary
The LLaMA 13B model converted to HuggingFace format seems not able to generate any... | {
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https://api.github.com/repos/huggingface/transformers/issues/22791 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22791/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22791/comments | https://api.github.com/repos/huggingface/transformers/issues/22791/events | https://github.com/huggingface/transformers/issues/22791 | 1,669,707,803 | I_kwDOCUB6oc5jhbgb | 22,791 | Able to load 'gpt_neox_reward_model' type models | {
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"@sann3, could you follow the issue template please and provide: \r\n* Environment information printed out when running `transformers-cli env` in your terminal\r\n* A reproducible code snippet\r\n* Error and full traceback\r\n* Information about the expected behaviour",
"Hi, to add to this (same issue). The new m... | 1,681 | 1,681 | 1,681 | NONE | null | ### Feature request
The new models from OpenAssistant are type of gpt_neox_reward_model, the latest version of transformers lib not supporting them.
OpenAssistant/oasst-rm-2.1-pythia-1.4b-epoch-2.5
OpenAssistant/oasst-rm-2-pythia-6.9b-epoch-1
Getting the following error
KeyError: 'gpt_neox_reward_model'
... | {
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https://api.github.com/repos/huggingface/transformers/issues/22790 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22790/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22790/comments | https://api.github.com/repos/huggingface/transformers/issues/22790/events | https://github.com/huggingface/transformers/issues/22790 | 1,669,654,480 | I_kwDOCUB6oc5jhOfQ | 22,790 | DeBERTa models produce nonsense fill-mask output | {
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"Hey! Did you find a solution/cause yet? I am experiencing the same issues on debertav3-base even though I pretrained the model on my own training data...",
"No dice, but I discovered the problem is worse than than just mask filling; it doesn't even produce the right thing for given tokens.\r\n```python\r\n>>> im... | 1,681 | 1,707 | null | NONE | null | ### System Info
Python version: 3.8.15
Transformers version: 4.24.0
### Who can help?
@ArthurZucker, @younesbelkada
### Information
- [ ] The official example scripts
- [X] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [... | {
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https://api.github.com/repos/huggingface/transformers/issues/22789 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22789/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22789/comments | https://api.github.com/repos/huggingface/transformers/issues/22789/events | https://github.com/huggingface/transformers/issues/22789 | 1,669,608,647 | I_kwDOCUB6oc5jhDTH | 22,789 | It's possible to create a chunk pipeline with an invalid stride/max-length combination | {
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"> ChunkPipeline should follow the philosophy of failing as early as possible with a clear message to the user. Therefore any initialization of a ChunkPipeline with a stride that is too long for its model's maximum length (plus the special tokens added by its tokenizer) should result in an exception.\r\n\r\nFully a... | 1,681 | 1,682 | 1,682 | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.29.0.dev0
- Platform: Darwin-21.6.0-x86_64-i386-64bit
- Python version: 3.7.16
- Huggingface_hub version: 0.12.1
- Safetensors version: 0.2.8
- PyTorch version (GPU?): 1.13.1 (False)
- Tensorflow version (GPU?): 2.11.0 (False)
- Flax version (CPU?/GPU?/TPU?): 0.5.3 ... | {
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https://api.github.com/repos/huggingface/transformers/issues/22788 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22788/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22788/comments | https://api.github.com/repos/huggingface/transformers/issues/22788/events | https://github.com/huggingface/transformers/pull/22788 | 1,669,601,282 | PR_kwDOCUB6oc5OZXT8 | 22,788 | Feature to convert videomae huge and small finetuned on kinetics and ssv2 added to the videomae to pytorch converter | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@NielsRogge Uploaded the huge-kinetics, small-kinetics, and small-ssv2 models to the HF model hub under the following names:\r\n\r\n1. sandstorm12/videomae-huge-finetuned-kinetics\r\n2. sandstorm12/videomae-small-finetuned-kinetics\r... | 1,681 | 1,682 | 1,682 | CONTRIBUTOR | null | # What does this PR do?
Adds the feature to convert VideoMAE huge and small to hugging face compatible pytorch model. The following models are added to the converter:
1. VideoMAE huge fine-tuned Kinetics
2. VideoMAE small fine-tuned Kinetics
3. VideoMAE small fine-tuned SSV2
## Who can review?
@NielsRogge | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@CreatlV Thanks for opening this PR! \r\n\r\nHaving the processor be compatible with the model is definitely something we want and updating the code to make it less brittle is a great initiative. At the moment, with `min`, if `num_q... | 1,681 | 1,683 | 1,683 | CONTRIBUTOR | null | # What does this PR do?
The current post-processing for object detection methods of deformable and conditional DETR assumes the number of classes * the number of object queries > 100. This reflects the original code in the [deformable-DETR repository](https://github.com/fundamentalvision/Deformable-DETR/blob/11169a6... | {
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"@jiangwy99 The BasicTokenizer class will perform simple string processing e.g. splitting on white spaces. However it doesn't encode the tokens to ids, and so doesn't have a corresponding `decode` method. \r\n\r\ncc @ArthurZucker ",
"@amyeroberts BasicTokenizer has implemented a tokenize function, which converts ... | 1,681 | 1,681 | null | CONTRIBUTOR | null | ### Feature request
Transformers has provided a nice BasicTokenizer for basic tokenizing when we don't need BPE tokenizers. For data processing (like data format converting), it is better to offer a decode method for basic use.
### Motivation
When doing data format converting in some data processing problems, we usu... | {
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https://api.github.com/repos/huggingface/transformers/issues/22785 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22785/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22785/comments | https://api.github.com/repos/huggingface/transformers/issues/22785/events | https://github.com/huggingface/transformers/pull/22785 | 1,669,524,879 | PR_kwDOCUB6oc5OZIVW | 22,785 | improve(llama): Faster apply_rotary_pos_emb | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Should a similar patch be applied to GPT-NeoX?",
"@neggert I believe it can be added to GPT-NeoX too - very happy to review a PR if you'd like to add! "
] | 1,681 | 1,688 | 1,681 | CONTRIBUTOR | null | # What does this PR do?
Faster implementation for `apply_rotary_pos_emb` in `modeling_llama.py`.
Please see issue #22683 for code that verifies the correctness of the change.
NOTE: Not marking as fixing the above issue, as speed is still not as good as before.
## Before submitting
- [ ] This PR fixes a t... | {
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"@Oxi84 Thanks for reporting this issue. \r\n\r\nCould you share some more information so that we can best help you? Specifically the running environment: copy-paste the info you get from running `transformers-cli env` in your terminal (\"latest version\" is ill-defined). I'm able to run the snippet: \r\n```py\r\nf... | 1,681 | 1,684 | 1,684 | NONE | null | ### System Info
latest version
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or dataset (give details below)
### ... | {
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https://api.github.com/repos/huggingface/transformers/issues/22783 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22783/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22783/comments | https://api.github.com/repos/huggingface/transformers/issues/22783/events | https://github.com/huggingface/transformers/pull/22783 | 1,669,307,348 | PR_kwDOCUB6oc5OYc0Y | 22,783 | 🌐 [i18n-KO] Translated `tasks/summarization.mdx` to Korean | {
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"Team Pseudo Lab,\r\nI'm happy to inform you I finished the translation!\r\nCould you review this PR?",
"_The documentation is not available anymore as the PR was closed or merged._",
"Could you review this PR? 😄 \r\n@sgugger, @ArthurZucker, @eunseojo"
] | 1,681 | 1,682 | 1,682 | CONTRIBUTOR | null | # What does this PR do?
<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
Then, please replace this w... | {
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https://api.github.com/repos/huggingface/transformers/issues/22782 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22782/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22782/comments | https://api.github.com/repos/huggingface/transformers/issues/22782/events | https://github.com/huggingface/transformers/issues/22782 | 1,669,206,690 | I_kwDOCUB6oc5jfhKi | 22,782 | A minor change in the `decoder_config` of T5Model | {
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"My mistake, sorry for the issue"
] | 1,681 | 1,681 | 1,681 | NONE | null | In the line mentioned below,
https://github.com/huggingface/transformers/blob/fb3aa06cb673d0e2774a2924747d3290135c09cc/src/transformers/models/t5/modeling_t5.py#L1339,
I believe there should be an update in the `decoder_config`
The below is the change, I want to suggest
```python
decoder_config = copy.dee... | {
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https://api.github.com/repos/huggingface/transformers/issues/22781 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22781/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22781/comments | https://api.github.com/repos/huggingface/transformers/issues/22781/events | https://github.com/huggingface/transformers/issues/22781 | 1,669,167,463 | I_kwDOCUB6oc5jfXln | 22,781 | Unable to import transformers.models.bert.modeling_tf_bert on macOS? | {
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"@talhakabakus, thanks for raising this issue. \r\n\r\nSo that we can best help you, could you provide some additional information: \r\n* Environment: Copy-paste the output of `transformers-cli env` here\r\n* The error and full trackback encountered",
"This issue has been automatically marked as stale because it ... | 1,681 | 1,684 | 1,684 | NONE | null | ### System Info
```
transformers=4.28.0
tensorflow-macos=2.9.0
python=3.10
os=macOS Ventura 13.3.1
BERT_model=uncased_L-12_H-768_A-12
```
### Who can help?
@ArthurZucker @younesbelkada
### Information
- [ ] The official example scripts
- [x] My own modified scripts
### Tasks
- [ ] An officially supported ... | {
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https://api.github.com/repos/huggingface/transformers/issues/22780 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22780/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22780/comments | https://api.github.com/repos/huggingface/transformers/issues/22780/events | https://github.com/huggingface/transformers/issues/22780 | 1,668,941,536 | I_kwDOCUB6oc5jegbg | 22,780 | msgpack.exceptions.ExtraData: unpack(b) received extra data. | {
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"Hey @alhuri! Echoing what I suggested in https://github.com/huggingface/transformers/issues/22673#issuecomment-1517714740 - this is probably best asked on the Italian Hybrid CLIP repo (since they use a custom implementation of JAX CLIP there). Unless you have a code snippet that I can use to reproduce this error w... | 1,681 | 1,684 | 1,684 | NONE | null | ### System Info
- `transformers` version: 4.9.0
- Platform: Linux-5.15.0-52-generic-x86_64-with-glibc2.29
- Python version: 3.8.10
- PyTorch version (GPU?): 1.9.0+cpu (False)
- Tensorflow version (GPU?): 2.9.1 (True)
- Flax version (CPU?/GPU?/TPU?): 0.3.4 (gpu)
- Jax version: 0.4.8
- JaxLib version: 0.4.7
- Us... | {
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https://api.github.com/repos/huggingface/transformers/issues/22779 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22779/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22779/comments | https://api.github.com/repos/huggingface/transformers/issues/22779/events | https://github.com/huggingface/transformers/pull/22779 | 1,668,929,748 | PR_kwDOCUB6oc5OXO5C | 22,779 | Move labels to the same device as logits for Whisper | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,681 | 1,681 | 1,681 | CONTRIBUTOR | null | # What does this PR do?
Fixes issue #22561 by moving labels to the same device as logits for `Whisper` model.
@sgugger Could you please review?
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"@abdoelsayed2016 Thanks for raising this issue. Could you share a minimal code snippet to enable us to reproduce the error? \r\n\r\nJust from the traceback alone, it seems that the issue is CUDA related, rather than the transformers model. The Llama model has been under active development and was part of the offic... | 1,681 | 1,681 | 1,681 | NONE | null | ### System Info
- `transformers` version: 4.28.0.dev0
- Platform: Linux-4.18.0-372.16.1.el8_6.0.1.x86_64-x86_64-with-glibc2.28
- Python version: 3.9.7
- Huggingface_hub version: 0.13.3
- PyTorch version (GPU?): 2.0.0+cu117 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU... | {
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"While the tests aren't being ran here, I did run it on the branch I'm working on (that doesn't touch tf code) and it still passes (and passes now): \r\n\r\n",
"_The documentation is not available anymore... | 1,681 | 1,681 | 1,681 | CONTRIBUTOR | null | # What does this PR do?
This PR removes `accelerate` from the tf example test requirements as I believe its unused and causing issues with the `Accelerate` integration
## 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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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,681 | 1,681 | 1,681 | COLLABORATOR | null | # What does this PR do?
In the conversion script, there was an indexing error, where the image and text logits where taken as the 2nd and 3rd outputs of the HF model. However, this is only the case if the model returns a loss.
This PR updates the script to explicitly take the named parameters.
Fixes #22739
... | {
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"https://huggingface.co/transformers/v4.6.0/_modules/transformers/trainer.html",
"and when i test a smaller model which could fit in one gpu memory and does not need model parallel \r\nby running :\r\ndeepspeed \"script + config\" --deepspeed **.json (with num_gpus 2 )\r\nno error occures anymore",
"cc @stas00... | 1,681 | 1,685 | 1,681 | NONE | null | ### System Info
accelerate 0.18.0
aiofiles 23.1.0
aiohttp 3.8.4
aiosignal 1.3.1
altair 4.2.2
anyio 3.6.2
asttokens 2.2.1
async-timeout 4.0.2
att... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Merge now as this PR only touches tests. Feel free to leave a comment if any @NielsRogge "
] | 1,681 | 1,681 | 1,681 | COLLABORATOR | null | # What does this PR do?
These 2 models require **different input format** than those of usual text models. See the relevant code block at the end.
The offline discussion with @NielsRogge is that **these 2 models are only for DocQA pipeline**, despite they have implementations for different head tasks.
Therefore... | {
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"@sqinghua, this is happening because the class `transformer_model` inherits from PyTorch's nn.Module class, which doesn't have a `save_pretrained` method. `save_pretrained` is a transformers library specific method common to models which inherit from `PreTrainedModel`. \r\n\r\nI'm not sure why `torch.save(...)` do... | 1,681 | 1,681 | 1,681 | NONE | null | ### System Info
```shell
Platform: Kaggle
python: 3.7
torch: 1.13.0
transformers: 4.27.4
tensorflow: 2.11.0
pre-trained model used: XLNET
```
### Information
- [ ] The official example scripts
- [X] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQ... | {
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https://api.github.com/repos/huggingface/transformers/issues/22772 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22772/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22772/comments | https://api.github.com/repos/huggingface/transformers/issues/22772/events | https://github.com/huggingface/transformers/pull/22772 | 1,668,461,742 | PR_kwDOCUB6oc5OVn4l | 22,772 | Seq2SeqTrainer: Evict decoder_input_ids only when it is created from labels | {
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"> Did you confirm the failing test now passes?\r\n\r\nYes :D Both the SQUAD test that made me add the previous eviction and the command that FSMT command that @stas00 shared are passing with this PR",
"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,681 | 1,681 | 1,681 | MEMBER | null | # What does this PR do?
Fixes #22634 (what remains of the issue, the [failing FSMT command in this comment](https://github.com/huggingface/transformers/issues/22634#issuecomment-1500919952))
A previous PR (#22108) expanded the capabilities of the trainer, by delegating input selection to `.generate()`. However, i... | {
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"Hi! I would like to take on this as my first issue if possible. Is that okay?",
"@joaocmd Of course! Cool issue to start on 🤗 \r\n\r\nIf you haven't seen it already, there's a detailed guide in the docs on porting a model to TensorFlow: https://huggingface.co/docs/transformers/add_tensorflow_model\r\n\r\nIt's b... | 1,681 | 1,688 | null | COLLABORATOR | null | ### Model description
Add the TensorFlow port of the SwiftFormer model. See related issue: #22685
To be done once the SwiftFormer model has been added: #22686
### Open source status
- [X] The model implementation is available
- [X] The model weights are available
### Provide useful links for the implementation... | {
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https://api.github.com/repos/huggingface/transformers/issues/22770 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22770/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22770/comments | https://api.github.com/repos/huggingface/transformers/issues/22770/events | https://github.com/huggingface/transformers/pull/22770 | 1,668,283,131 | PR_kwDOCUB6oc5OVCQl | 22,770 | Tweak ESM tokenizer for Nucleotide Transformer | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,681 | 1,681 | 1,681 | MEMBER | null | Nucleotide Transformer is a model that takes DNA inputs. It uses the same model architecture as the protein model ESM, but in addition to a different vocabulary it tokenizes inputs without a `<sep>` or `<eos>` token at the end. This PR makes a small tweak to the tokenization code for ESM, so that it doesn't try to add ... | {
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https://api.github.com/repos/huggingface/transformers/issues/22769 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22769/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22769/comments | https://api.github.com/repos/huggingface/transformers/issues/22769/events | https://github.com/huggingface/transformers/issues/22769 | 1,668,277,758 | I_kwDOCUB6oc5jb-X- | 22,769 | Error projecting concatenated Fourier Features. | {
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"@sr-ndai Thanks for raising this issue and detailed reproduction. \r\n\r\nCould you share the config or checkpoint being used in this example? ",
"@amyeroberts No problem, here is the configuration I used:\r\n```python\r\nfrom transformers import PerceiverConfig\r\n\r\nconfig = PerceiverConfig(\r\n num_latent... | 1,681 | 1,693 | 1,693 | NONE | null | ### System Info
- `transformers` version: 4.27.4
- Platform: macOS-13.3.1-arm64-arm-64bit
- Python version: 3.9.16
- Huggingface_hub version: 0.13.4
- PyTorch version (GPU?): 2.0.0 (False)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not inst... | {
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https://api.github.com/repos/huggingface/transformers/issues/22768 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22768/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22768/comments | https://api.github.com/repos/huggingface/transformers/issues/22768/events | https://github.com/huggingface/transformers/issues/22768 | 1,668,057,872 | I_kwDOCUB6oc5jbIsQ | 22,768 | How to avoid adding double start of token<s><s> in TrOCR during training ? | {
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"cc @ArthurZucker ",
"+1",
"Thanks for Natabara for his comment The solution is super easy by just skipping <s> start token `labels= labels[1:] ` coming from the tokenizer because the tokenizer adds start token <s> and the TrOCR adds start token <s> automatically as mentioned in TrOCR paper ``` def __getitem__(... | 1,681 | 1,681 | 1,681 | NONE | null | **Describe the bug**
The model I am using (TrOCR Model):
The problem arises when using:
* [x] the official example scripts: done by the nice tutorial [(fine_tune)](https://github.com/NielsRogge/Transformers-Tutorials/blob/master/TrOCR/Fine_tune_TrOCR_on_IAM_Handwriting_Database_using_Seq2SeqTrainer.ipynb) @NielsR... | {
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https://api.github.com/repos/huggingface/transformers/issues/22767 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22767/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22767/comments | https://api.github.com/repos/huggingface/transformers/issues/22767/events | https://github.com/huggingface/transformers/issues/22767 | 1,667,914,956 | I_kwDOCUB6oc5jalzM | 22,767 | Mobilenet_v1 Dropout probability | {
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"@andreysher Thanks for raising this issue. The dropout rate `p` or `rate` is defined the same for TensorFlow and PyTorch layers. \r\n\r\nFrom the [TensorFlow documentation](https://www.tensorflow.org/api_docs/python/tf/keras/layers/Dropout): \r\n> The Dropout layer randomly sets input units to 0 with a frequency o... | 1,681 | 1,684 | 1,684 | NONE | null | Hi @amyeroberts [here](https://github.com/huggingface/transformers/pull/17799) is the pull request with some interesting bug. Mobilenetv2 made from tensorflow checkpoint, but in Tensorflow dropout prob is the fraction of **non zero** values, but in PyTorch this is fraction of **zero** values. It should be **1 - prob** ... | {
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https://api.github.com/repos/huggingface/transformers/issues/22766 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22766/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22766/comments | https://api.github.com/repos/huggingface/transformers/issues/22766/events | https://github.com/huggingface/transformers/pull/22766 | 1,667,875,858 | PR_kwDOCUB6oc5OTr_l | 22,766 | Fix failing torchscript tests for `CpmAnt` model | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,681 | 1,681 | 1,681 | COLLABORATOR | null | # What does this PR do?
The failure is caused by some type issues (dict, tuple, etc) in the outputs. | {
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https://api.github.com/repos/huggingface/transformers/issues/22765 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22765/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22765/comments | https://api.github.com/repos/huggingface/transformers/issues/22765/events | https://github.com/huggingface/transformers/pull/22765 | 1,667,862,986 | PR_kwDOCUB6oc5OTpO6 | 22,765 | Fix word_ids hyperlink | {
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"CC @amyeroberts ",
"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,681 | 1,681 | 1,681 | CONTRIBUTOR | null | Fixes https://github.com/huggingface/transformers/issues/22729 | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,681 | 1,681 | 1,681 | CONTRIBUTOR | null | # What does this PR do?
Fixes a mistake in Llama weight converter log output.
Before: `Saving a {tokenizer_class} to {tokenizer_path}`
After: `Saving a LlamaTokenizerFast to outdir.`
## Before submitting
- [X] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
... | {
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] | 1,681 | 1,681 | 1,681 | MEMBER | null | # What does this PR do?
A recent change added the `num_beams==1` requirement for contrastive search. One of the tests started failing because of that change -- BART has `num_beams=4` [in its config](https://huggingface.co/facebook/bart-large-cnn/blob/main/config.json#L49), so the test was now triggering beam search,... | {
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https://api.github.com/repos/huggingface/transformers/issues/22762 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22762/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22762/comments | https://api.github.com/repos/huggingface/transformers/issues/22762/events | https://github.com/huggingface/transformers/issues/22762 | 1,667,767,437 | I_kwDOCUB6oc5jaByN | 22,762 | RecursionError: maximum recursion depth exceeded while getting the str of an object. | {
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"cc @ArthurZucker ",
"same problem, is there any progress？",
"Hey! The main issue is that they did not update the tokenizer files at `\"decapoda-research/llama-7b-hf\"` but they are using the latest version of transformers. The tokenizer was fixed see #22402 and corrected. Nothing we can do on our end...",
"@... | 1,681 | 1,685 | 1,685 | NONE | null | **System Info**
Python 3.8.10
transformers 4.29.0.dev0
sentencepiece 0.1.97
**Information**
- [x] The official example scripts
- [ ] My own modified scripts
**Reproduction**
In https://github.com/CarperAI/trlx/tree/main/examples
```python https://ppo_sentiments_llama.py```
The loops occur as follows:
/... | {
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https://api.github.com/repos/huggingface/transformers/issues/22761 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22761/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22761/comments | https://api.github.com/repos/huggingface/transformers/issues/22761/events | https://github.com/huggingface/transformers/pull/22761 | 1,667,737,654 | PR_kwDOCUB6oc5OTOUl | 22,761 | Pix2struct: doctest fix | {
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"oops, wrong core maintainer :D",
"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,681 | 1,681 | 1,681 | MEMBER | null | # What does this PR do?
Fixes the failing doctest: different machines may produce minor FP32 differences. This PR formats the printed number to a few decimal places. | {
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https://api.github.com/repos/huggingface/transformers/issues/22760 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22760/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22760/comments | https://api.github.com/repos/huggingface/transformers/issues/22760/events | https://github.com/huggingface/transformers/issues/22760 | 1,667,620,565 | I_kwDOCUB6oc5jZd7V | 22,760 | WhisperForAudioClassification RuntimeError tensor size doesn't match | {
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"Hey @xiao1ongbao! I'm hoping that your fine-tuning run was successful! Let me know if you encounter any issues - more than happy to help here 🤗",
"Hey! How did you solve that?",
"Do you have a reproducible code snippet to trigger the error @lnfin? I didn't encounter this in my experiments!"
] | 1,681 | 1,684 | 1,681 | NONE | null | ### System Info
- `transformers` version: 4.28.0
- Platform: Linux-5.4.190-107.353.amzn2.x86_64-x86_64-with-glibc2.31
- Python version: 3.9.16
- Huggingface_hub version: 0.13.4
- Safetensors version: not installed
- PyTorch version (GPU?): 2.0.0+cu117 (True)
- Tensorflow version (GPU?): not installed (NA)
- F... | {
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https://api.github.com/repos/huggingface/transformers/issues/22759 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22759/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22759/comments | https://api.github.com/repos/huggingface/transformers/issues/22759/events | https://github.com/huggingface/transformers/pull/22759 | 1,667,611,349 | PR_kwDOCUB6oc5OS0Lk | 22,759 | chore: allow protobuf 3.20.3 requirement | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_22759). All of your documentation changes will be reflected on that endpoint.",
"cc @ydshieh ",
"Hi @jose-turintech Thank you for this PR ❤️ .\r\n\r\nUnfortunately, as you can see in the CI results, the changes cause some... | 1,681 | 1,683 | 1,683 | CONTRIBUTOR | null | Allow latest bugfix release for protobuf (3.20.3)
# What does this PR do?
Change in requirements for python library so it allows the use of latest bugfix release for protobuf (3.20.3) instead of restricting it to the upper bound limit for this dependency to 3.20.2 (<=3.20.2).
| {
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https://api.github.com/repos/huggingface/transformers/issues/22758 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22758/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22758/comments | https://api.github.com/repos/huggingface/transformers/issues/22758/events | https://github.com/huggingface/transformers/issues/22758 | 1,667,495,706 | I_kwDOCUB6oc5jY_ca | 22,758 | GPTNeoX position_ids not defined | {
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"`transformers` isn't involved with deepspeed's inference engine, other than being used by it indirectly, so please refile at https://github.com/microsoft/DeepSpeed/issues. Thank you."
] | 1,681 | 1,681 | 1,681 | NONE | null | ### System Info
- `transformers` version: 4.28.0.dev0
- Platform: Linux-4.18.0-425.10.1.el8_7.x86_64-x86_64-with-glibc2.28
- Python version: 3.9.13
- Huggingface_hub version: 0.13.3
- Safetensors version: not installed
- PyTorch version (GPU?): 2.0.0+cu117 (True)
- Tensorflow version (GPU?): not installed (NA)
... | {
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https://api.github.com/repos/huggingface/transformers/issues/22757 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22757/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22757/comments | https://api.github.com/repos/huggingface/transformers/issues/22757/events | https://github.com/huggingface/transformers/issues/22757 | 1,667,494,532 | I_kwDOCUB6oc5jY_KE | 22,757 | Huge Num Epochs (9223372036854775807) when using Trainer API with streaming dataset | {
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"That's because the dataset you are using does not have a length, so the Trainer sets the number of epochs to a very high number to make sure it does the number of steps you are asking for.",
"@sgugger , thanks for the explanation. \r\n\r\nMay I suggest updating the document adding the Trainer behavior and requir... | 1,681 | 1,681 | 1,681 | NONE | null | ### System Info
# System Info
Running on SageMaker Studio g4dn 2xlarge.
```
!cat /etc/os-release
PRETTY_NAME="Debian GNU/Linux 10 (buster)"
```
```
!transformers-cli env
- `transformers` version: 4.28.0
- Platform: Linux-4.14.309-231.529.amzn2.x86_64-x86_64-with-debian-10.6
- Python version: 3.7.10
- ... | {
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https://api.github.com/repos/huggingface/transformers/issues/22756 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22756/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22756/comments | https://api.github.com/repos/huggingface/transformers/issues/22756/events | https://github.com/huggingface/transformers/issues/22756 | 1,667,461,041 | I_kwDOCUB6oc5jY2-x | 22,756 | TypeError: export() got an unexpected keyword argument 'preprocessor' | {
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"@susht3, could you please follow the issue template and provide a minimal reproducible code snippet, information about the running environment (found using `transformers-cli env`) and a full trackback of the error? "
] | 1,681 | 1,681 | null | NONE | null | ### Model description
onnx_inputs, onnx_outputs = export(
preprocessor=tokenizer, model=model, config=onnx_config, opset=10, output=onnx_model_path
)
i got error: TypeError: export() got an unexpected keyword argument 'preprocessor'
### Open source status
- [ ] The model implementation is av... | {
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https://api.github.com/repos/huggingface/transformers/issues/22755 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22755/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22755/comments | https://api.github.com/repos/huggingface/transformers/issues/22755/events | https://github.com/huggingface/transformers/issues/22755 | 1,667,408,984 | I_kwDOCUB6oc5jYqRY | 22,755 | no transformers version 4.29.0.dev0 | {
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"`pip install git+https://github.com/huggingface/transformers`\r\n\r\nThe above will install the git/head version which is 4.29.0.dev0.",
"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\nPleas... | 1,681 | 1,684 | 1,684 | NONE | null | https://github.com/huggingface/transformers/blob/bfb3925fcbbb4fda83e023448e36e4d6c6f16a4c/examples/pytorch/language-modeling/run_mlm.py#L56
I try to run script `run_mlm.py`, meet an error: ImportError: This example requires a source install from HuggingFace Transformers (see `https://huggingface.co/transformers/inst... | {
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https://api.github.com/repos/huggingface/transformers/issues/22754 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22754/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22754/comments | https://api.github.com/repos/huggingface/transformers/issues/22754/events | https://github.com/huggingface/transformers/pull/22754 | 1,667,369,874 | PR_kwDOCUB6oc5OSBzy | 22,754 | 🌐 [i18n-KO] translate `create_a_model` doc to Korean | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Team PseudoLab, may you please review this PR?\r\n@0525hhgus, @KIHOON71, @sim-so, @gabrielwithappy, @HanNayeoniee, @wonhyeongseo, @jungnerd\r\n",
"리뷰 해주신 내용 확인했습니다. \r\n확인해보고 다시 업데이트 할께요~",
"@sgugger, @ArthurZucker, @eunseojo May... | 1,681 | 1,682 | 1,682 | CONTRIBUTOR | null | # What does this PR do?
Translated the `create_a_model.mdx` file of the documentation to Korean.
Thank you in advance for your review.
Part of https://github.com/huggingface/transformers/issues/20179
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if th... | {
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https://api.github.com/repos/huggingface/transformers/issues/22753 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22753/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22753/comments | https://api.github.com/repos/huggingface/transformers/issues/22753/events | https://github.com/huggingface/transformers/issues/22753 | 1,667,255,193 | I_kwDOCUB6oc5jYEuZ | 22,753 | Add callbacks method to the trainer which are called when the loop starts and when skipping steps ends | {
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"cc @sgugger ",
"It sounds like an interesting addition, but the callbacks don't have access to the training dataset, so I'm not sure how you would use that for your use case.",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be address... | 1,681 | 1,684 | 1,684 | NONE | null | ### Feature request
Add callbacks method in the training loop when the loop starts and when the steps skipping end.
### Motivation
When using an iterable dataset, all preprocessing is done on the fly when a batch is requested by the dataloader. As a result, when resuming training from a checkpoint, steps skipping ca... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@pacman100 I'm starting small with what is minimally needed with the API. E.g. the AcceleratorState isn't needed until we get into parts such as mixed precision. The device handling can be done separately altogether as it doesn't nee... | 1,681 | 1,681 | 1,681 | CONTRIBUTOR | null | # What does this PR do?
This PR is the start of the `Trainer` integration of [Accelerate](https://github.com/huggingface/accelerate)
The integration will follow multiple stages to ensure small changes happen iteratively. This first one simply changes the device handler/setter to be the `PartialState` in `Accelera... | {
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"Thank you for the detailed report and an easy way to reproduce it, @cchen-dialpad \r\n\r\nI'm very much doubting this has anything to do with deepspeed, since you're not using its LR Scheduler, but the default `get_linear_schedule_with_warmup` in HF Trainer. That is you should see the same behavior w/o using deep... | 1,681 | 1,681 | 1,681 | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.26.1
- Platform: Linux-5.15.0-1030-gcp-x86_64-with-debian-bullseye-sid
- Python version: 3.7.16
- Huggingface_hub version: 0.13.4
- PyTorch version (GPU?): 1.13.1+cu117 (True)
- Deepspeed version: 0.8.3
### Who can help?
@stas00 @sgugger
### Information
-... | {
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https://api.github.com/repos/huggingface/transformers/issues/22750 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22750/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22750/comments | https://api.github.com/repos/huggingface/transformers/issues/22750/events | https://github.com/huggingface/transformers/pull/22750 | 1,666,992,570 | PR_kwDOCUB6oc5OQxDZ | 22,750 | Revert (for now) the change on `Deta` in #22437 | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,681 | 1,681 | 1,681 | COLLABORATOR | null | # What does this PR do?
See #22656 for some discussion. Basically, the loading of checkpoints for this model is currently not working correctly, and we do want to avoid this situation as early as possible. | {
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"@ProgramadorArtificial Thanks for taking the time to open this PR. \r\n\r\nThe example scripts are just examples and won't work out-of-the-box for all problems. As you've done here, a few lines of code might be needed to adapt to different use cases. This change is very specific. As such, it's not an addition we'l... | 1,681 | 1,684 | 1,684 | NONE | null | # What does this PR do?
In the examples for fine-tuning Wav2Vec2 it is possible to use a HuggingFace dataset that is ready to be trained. But when we want to use a local/custom dataset, it's easier to create a .tsv that points to the file path. Which doesn't work in current version - returning error: "AttributeError... | {
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"cc @younesbelkada @NielsRogge FYI -- this PR consolidates your recent changes regarding text conditioning on multimodal models. The next models should be easier to add :) ",
"_The documentation is not available anymore as the PR was closed or merged._",
"Thanks a lot @gante! 🙏 "
] | 1,681 | 1,681 | 1,681 | MEMBER | null | # What does this PR do?
Consolidates `decoder_input_ids` preparation changes in a single place, for all future multimodal encoder-decoder models on PT and TF.
In a nutshell, this PR generalizes the following use cases:
1. The user passes `decoder_input_ids`, but it is missing the BOS token (some tokenizers, like... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,681 | 1,681 | 1,681 | CONTRIBUTOR | null | Fixes: https://github.com/huggingface/transformers/issues/22142
update the link to its stable version now that pt-2.0 is out. | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thanks for your quick review, I have re-run the CI tests. 🤗 @amyeroberts @ArthurZucker "
] | 1,681 | 1,681 | 1,681 | CONTRIBUTOR | null | # What does this PR do?
<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
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"_The documentation is not available anymore as the PR was closed or merged._",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_22745). All of your documentation changes will be reflected on that endpoint."
] | 1,681 | 1,681 | 1,681 | COLLABORATOR | null | # What does this PR do?
So let's make this more clear and explicit. | {
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"This has been fixed on main, so make sure to do a source install (or in a couple of hours you can upgrade to v4.28.0 once it's released).",
"Shame on me, I did not pull the latest changes\r\n\r\nThank you for your quick answer",
"No worries at all!"
] | 1,681 | 1,681 | 1,681 | CONTRIBUTOR | null | ### System Info
Transformers version: 4.28.0.dev0
Pytorch version: 2
### Who can help?
@sanchit-gandhi @sgugger
### Information
- [ ] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or d... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,681 | 1,681 | 1,681 | COLLABORATOR | null | # What does this PR do?
**[If the concept is approved, I will apply the same changes to other TF encoder-decoder family of models]**
The composite models use its components' configurations. See for example
https://github.com/huggingface/transformers/blob/95e7057507c9eca8e997abb98645eee2621a5aea/src/transformer... | {
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"Hey yep that's indeed a bug thanks for reporting"
] | 1,681 | 1,681 | 1,681 | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.29.0.dev0
- Platform: Linux-5.15.0-52-generic-x86_64-with-glibc2.31
- Python version: 3.10.10
- Huggingface_hub version: 0.13.4
- Safetensors version: not installed
- PyTorch version (GPU?): 2.0.0 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"funny, it means that it built it at runtime and it worked. So it finds the right library at run time.\r\n\r\nSo actually if we wanted to skip the test we would need to removed apt install libaio-dev.\r\n\r\nBut this is a better outco... | 1,681 | 1,681 | 1,681 | COLLABORATOR | null | # What does this PR do?
In order to make
```
PASSED tests/deepspeed/test_deepspeed.py::TrainerIntegrationDeepSpeed::test_stage3_nvme_offload
```
Note it pass, not skipped. I am not sure if this is normal however, but you can see the results in [this job run](https://github.com/huggingface/transformers/actions/r... | {
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https://api.github.com/repos/huggingface/transformers/issues/22740 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22740/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22740/comments | https://api.github.com/repos/huggingface/transformers/issues/22740/events | https://github.com/huggingface/transformers/pull/22740 | 1,666,005,060 | PR_kwDOCUB6oc5ONcAi | 22,740 | Change `torch_dtype` to str when `saved_model=True` in `save_pretrained` for TF models | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,681 | 1,681 | 1,681 | COLLABORATOR | null | # What does this PR do?
One issue in #22731 is: the config contains `torch_type` with a torch dtype class as value. Usually, our `save_pretrained` will take care of it. But when `saved_model=True` in `save_pretrained` for TF models, it is not handled, and TF/Keras complains about it.
See the first part in [this c... | {
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https://api.github.com/repos/huggingface/transformers/issues/22739 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22739/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22739/comments | https://api.github.com/repos/huggingface/transformers/issues/22739/events | https://github.com/huggingface/transformers/issues/22739 | 1,665,977,933 | I_kwDOCUB6oc5jTM5N | 22,739 | AssertionError when converting openai clip's weight to hf | {
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"Hi @wingvortex, thanks for raising this issue. \r\n\r\n~~The trackback in the issue description doesn't contain the error message - could you share that please?~~ Scratch that: I see it's in the `torch.allclose` assert\r\n\r\nFor the checkpoints being converted, could you confirm which of the ViT-B-32 checkpoints ... | 1,681 | 1,681 | 1,681 | NONE | null | ### System Info
- `transformers` version: 4.26.1
- Platform: Linux-4.18.0-305.25.1.el8_4.x86_64-x86_64-with-redhat-8.5-Ootpa
- Python version: 3.7.10
- Huggingface_hub version: 0.12.0
- PyTorch version (GPU?): 1.13.1+cu117 (True)
- Tensorflow version (GPU?): 2.8.0 (True)
- Flax version (CPU?/GPU?/TPU?): 0.4.1 (g... | {
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https://api.github.com/repos/huggingface/transformers/issues/22738 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22738/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22738/comments | https://api.github.com/repos/huggingface/transformers/issues/22738/events | https://github.com/huggingface/transformers/issues/22738 | 1,665,970,535 | I_kwDOCUB6oc5jTLFn | 22,738 | [LLAMA]: LLAMA tokenizer | {
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"cc @ArthurZucker ",
"Hey! This is because: \r\n1. You are not using the correct version of transformers:\r\n2. You are not using the correct checkpoints\r\nHere is the snipper I used to get the expected output:\r\n```python \r\n>>> from transformers import LlamaTokenizer\r\n>>> tokenizer = LlamaTokenizer.from_pr... | 1,681 | 1,681 | 1,681 | NONE | null | ### System Info
- `transformers` version: 4.28.0.dev0
- Platform: Linux-3.10.0-957.el7.x86_64-x86_64-with-glibc2.17
- Python version: 3.8.16
- Huggingface_hub version: 0.13.2
- Safetensors version: not installed
- PyTorch version (GPU?): 2.0.0+cu117 (False)
- Tensorflow version (GPU?): not installed (NA)
- Flax... | {
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https://api.github.com/repos/huggingface/transformers/issues/22737 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22737/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22737/comments | https://api.github.com/repos/huggingface/transformers/issues/22737/events | https://github.com/huggingface/transformers/pull/22737 | 1,665,657,137 | PR_kwDOCUB6oc5OMSlh | 22,737 | Indexing fix for gpt_bigcode | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,681 | 1,681 | 1,681 | CONTRIBUTOR | null | The `past_key_values` is a list of tensors in gpt_bigcode, and not a list of lists like with most models, so we don't want to index twice. The code works either way but it's safer to avoid the unnecessary indexing. I also fixed the associated type hint.
@younesbelkada | {
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https://api.github.com/repos/huggingface/transformers/issues/22736 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22736/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22736/comments | https://api.github.com/repos/huggingface/transformers/issues/22736/events | https://github.com/huggingface/transformers/pull/22736 | 1,665,218,884 | PR_kwDOCUB6oc5OKzW2 | 22,736 | add onnx support for llama | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"cc @michaelbenayoun "
] | 1,681 | 1,681 | 1,681 | CONTRIBUTOR | null | # What does this PR do?
Add ONNX serialization support for Llama models.
Fixes # (issue)
https://github.com/huggingface/optimum/issues/918
## 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... | {
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https://api.github.com/repos/huggingface/transformers/issues/22735 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22735/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22735/comments | https://api.github.com/repos/huggingface/transformers/issues/22735/events | https://github.com/huggingface/transformers/pull/22735 | 1,665,218,619 | PR_kwDOCUB6oc5OKzTL | 22,735 | [Doctest] Add configuration_mvp.py | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,681 | 1,681 | 1,681 | CONTRIBUTOR | null | Adds configuration_mvp.py to utils/documentation_tests.txt
Based on https://github.com/huggingface/transformers/issues/19487
@ydshieh can you please have a look?this passes the test as well, with two warnings.thank you :) | {
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https://api.github.com/repos/huggingface/transformers/issues/22734 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22734/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22734/comments | https://api.github.com/repos/huggingface/transformers/issues/22734/events | https://github.com/huggingface/transformers/issues/22734 | 1,665,217,994 | I_kwDOCUB6oc5jQTXK | 22,734 | FSDP hangs before training starts | {
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"Ok the issue is not related to FSDP per say. Looks like something related to communication between the GPU's. I fixed it by \r\n modifying an environment variable as follows : `export NCCL_P2P_DISABLE=1` \r\nClosing!"
] | 1,681 | 1,681 | 1,681 | NONE | null | ### System Info
- `transformers` version: 4.27.4
- Platform: Linux-5.4.0-128-generic-x86_64-with-glibc2.31
- Python version: 3.9.16
- Huggingface_hub version: 0.13.4
- PyTorch version (GPU?): 2.0.0+cu117 (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/22733 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22733/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22733/comments | https://api.github.com/repos/huggingface/transformers/issues/22733/events | https://github.com/huggingface/transformers/pull/22733 | 1,665,021,969 | PR_kwDOCUB6oc5OKIws | 22,733 | [Doctest] Add configuration_m2m_100.py | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thank you for your assistance @ydshieh 😃"
] | 1,681 | 1,681 | 1,681 | CONTRIBUTOR | null | Add configuration_m2m_100.py to utils/documentation_tests.txt for doctest.
Based on issue https://github.com/huggingface/transformers/issues/19487
@ydshieh can you please have a look? thanks :D
it passes the test with a few warnings. | {
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https://api.github.com/repos/huggingface/transformers/issues/22732 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22732/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22732/comments | https://api.github.com/repos/huggingface/transformers/issues/22732/events | https://github.com/huggingface/transformers/issues/22732 | 1,664,819,670 | I_kwDOCUB6oc5jOyHW | 22,732 | BLIP special additional token self.tokenizer.enc_token_id | {
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"cc @ArthurZucker ",
"Hey! Thanks for submitting this issue. I think @younesbelkada is the most familiar with Blip and should be able to answer whether or not the `enc_token_id` should be added. BLIP seems to be using a `BertTokenizer`, and looking at [this](https://huggingface.co/Salesforce/blip-image-captioning... | 1,681 | 1,691 | 1,691 | NONE | null | ### System Info
Hello,
It seems to me that the Salesforce implementation of BLIP uses a special tokem 'ENC' at the beginning of each text sentence, it is added
https://github.com/salesforce/BLIP/blob/a176f1e9cc5a232d2cc6e21b77d2c7e18ceb3c37/models/blip.py#L190
and used when encoding text conditioned on images ... | {
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https://api.github.com/repos/huggingface/transformers/issues/22731 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22731/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22731/comments | https://api.github.com/repos/huggingface/transformers/issues/22731/events | https://github.com/huggingface/transformers/issues/22731 | 1,664,800,774 | I_kwDOCUB6oc5jOtgG | 22,731 | Saving TFVisionEncoderDecoderModel as SavedModel: `The following keyword arguments are not supported by this model: ['attention_mask', 'token_type_ids'].` | {
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"cc @ydshieh ",
"Hi @DevinTDHa Just a quick update: instead of `input_ids` in the signature, we have to use `decoder_input_ids`, as the text inputs are for the decoder.\r\n\r\n```python\r\n \"pixel_values\": tf.TensorSpec((None, None, None, None), tf.float32, name=\"pixel_values\"),\r\n ... | 1,681 | 1,681 | 1,681 | NONE | null | ### System Info
- `transformers` version: 4.27.4
- Platform: Linux-6.2.6-76060206-generic-x86_64-with-debian-bookworm-sid
- Python version: 3.7.16
- Huggingface_hub version: 0.13.4
- PyTorch version (GPU?): 1.13.1 (False)
- Tensorflow version (GPU?): 2.11.0 (False)
- Flax version (CPU?/GPU?/TPU?): not installed ... | {
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https://api.github.com/repos/huggingface/transformers/issues/22730 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22730/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22730/comments | https://api.github.com/repos/huggingface/transformers/issues/22730/events | https://github.com/huggingface/transformers/issues/22730 | 1,664,739,725 | I_kwDOCUB6oc5jOemN | 22,730 | About Whisper finetuning on a out-of-vocabulary language datset | {
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"Hi @LYPinASR, thanks for raising an issue! \r\n\r\nQuestions like this are best placed [in the forum](https://discuss.huggingface.co/), as we try to reserve github issues for bug reporting and feature requests. Here's a relevant thread about a previous finetuning event which might help: https://discuss.huggingface... | 1,681 | 1,684 | 1,684 | NONE | null | ### Feature request
Hello!
I am working on Whisper, and I want to finetune the model on _Amharic_ in OpenASR20 dataset. As far as I know, _Amharic_ is not one of the languages participating in Whisper training. If I want to finetune the model on _Amharic_, what should I do?
Looking forward to your reply! Thank you!... | {
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https://api.github.com/repos/huggingface/transformers/issues/22728 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22728/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22728/comments | https://api.github.com/repos/huggingface/transformers/issues/22728/events | https://github.com/huggingface/transformers/pull/22728 | 1,664,440,043 | PR_kwDOCUB6oc5OILMU | 22,728 | `torch.distributed` group initialization for `torch_neuron` disabled when `optimum-neuron` is installed | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,681 | 1,681 | 1,681 | MEMBER | null | As per title. | {
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https://api.github.com/repos/huggingface/transformers/issues/22727 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22727/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22727/comments | https://api.github.com/repos/huggingface/transformers/issues/22727/events | https://github.com/huggingface/transformers/pull/22727 | 1,664,417,829 | PR_kwDOCUB6oc5OIGWT | 22,727 | Update warning levels | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,681 | 1,681 | 1,681 | CONTRIBUTOR | null | # What does this PR do?
This PR updates the warning levels at 2 places:
- use logger.info instead of logger.warning when an image processor gets loaded based on a preprocessor_config.json file.
- use `logger.warning_once` instead of warnings.warn(..., FutureWarning) for DETR and friends. | {
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https://api.github.com/repos/huggingface/transformers/issues/22726 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22726/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22726/comments | https://api.github.com/repos/huggingface/transformers/issues/22726/events | https://github.com/huggingface/transformers/pull/22726 | 1,664,403,571 | PR_kwDOCUB6oc5OIDNb | 22,726 | Modify pipeline_tutorial.mdx | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"cc @Narsil ",
"You are welcome, Happy to help!!"
] | 1,681 | 1,681 | 1,681 | CONTRIBUTOR | null | generator(model="openai/whisper-large") always returns error. As the error says the generator expects an input, just like the .flac file above. Even the generator object has no parameters called model. While there are parameters which can be passed to generator like 'batch_size' but to pass a model i believe the the pa... | {
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https://api.github.com/repos/huggingface/transformers/issues/22725 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22725/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22725/comments | https://api.github.com/repos/huggingface/transformers/issues/22725/events | https://github.com/huggingface/transformers/pull/22725 | 1,664,180,208 | PR_kwDOCUB6oc5OHSy4 | 22,725 | [Image processors] Fix warnings | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thanks for the review! After offline discussion, will close this PR in favor of a new one that just updates the warning levels. The removal of `max_size` can be done in a follow-up PR."
] | 1,681 | 1,681 | 1,681 | CONTRIBUTOR | null | # What does this PR do?
This PR aims to reduce the number of warnings shown to the user for 2 use cases:
- DETR and friends' `max_size` argument which is deprecated => if this gets approved, I'll run fix-copies to fix the other DETR-based models
- the pattern matching warning when a configuration doesn't have an... | {
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https://api.github.com/repos/huggingface/transformers/issues/22724 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22724/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22724/comments | https://api.github.com/repos/huggingface/transformers/issues/22724/events | https://github.com/huggingface/transformers/pull/22724 | 1,664,174,281 | PR_kwDOCUB6oc5OHRjN | 22,724 | add fast support and option | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,681 | 1,681 | 1,681 | COLLABORATOR | null | # What does this PR do?
Adresses #22669 | {
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https://api.github.com/repos/huggingface/transformers/issues/22723 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22723/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22723/comments | https://api.github.com/repos/huggingface/transformers/issues/22723/events | https://github.com/huggingface/transformers/pull/22723 | 1,664,155,021 | PR_kwDOCUB6oc5OHNvE | 22,723 | remove wrong doc in readme | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,681 | 1,681 | 1,681 | COLLABORATOR | null | # What does this PR do?
Fixes a typo caught in #22710 | {
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https://api.github.com/repos/huggingface/transformers/issues/22722 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22722/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22722/comments | https://api.github.com/repos/huggingface/transformers/issues/22722/events | https://github.com/huggingface/transformers/issues/22722 | 1,664,130,735 | I_kwDOCUB6oc5jMJ6v | 22,722 | Inconsistency in Model Output [ Token Classification] | {
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from transformers import AutoTokenizer, AutoModelForTokenClassification
import torch
from transformers import pipeline
```
```
tokenizer = AutoTokenizer.from_pretrained("dslim/bert-base-NER")
model = AutoModelForTokenClassification.from_pretrained("dslim/bert-base-NER")
```
```
nlp = pipeline("ner", m... | {
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https://api.github.com/repos/huggingface/transformers/issues/22721 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22721/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22721/comments | https://api.github.com/repos/huggingface/transformers/issues/22721/events | https://github.com/huggingface/transformers/issues/22721 | 1,664,099,589 | I_kwDOCUB6oc5jMCUF | 22,721 | Error when loading LlamaTokenizer | {
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"Given the error, the tokenizer checkpoints that you are using are clearly outdated. Convert the model again using `main` then upload them to your LAN. Also not that you using the fast tokenizer will require to have the latest `tokenizers` library"
] | 1,681 | 1,681 | 1,681 | NONE | null | ### System Info
centos 7
python version is 3.7.12
transformers 4.28.0.dev0
sentencepiece 0.1.97
### Who can help?
@ArthurZucker @younesbelkada
### Information
- [ ] The official example scripts
- [X] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/S... | {
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https://api.github.com/repos/huggingface/transformers/issues/22720 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22720/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22720/comments | https://api.github.com/repos/huggingface/transformers/issues/22720/events | https://github.com/huggingface/transformers/pull/22720 | 1,663,820,062 | PR_kwDOCUB6oc5OGFMt | 22,720 | Ko translate fast tokenizer | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_22720). All of your documentation changes will be reflected on that endpoint."
] | 1,681 | 1,682 | 1,682 | CONTRIBUTOR | null | # What does this PR do?
Translated the fast_tokenizer.mdx file of the documentation to Korean.
Thank you in advance for your review.
Part of [#20179](https://github.com/huggingface/transformers/issues/20179)
<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your... | {
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https://api.github.com/repos/huggingface/transformers/issues/22719 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22719/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22719/comments | https://api.github.com/repos/huggingface/transformers/issues/22719/events | https://github.com/huggingface/transformers/issues/22719 | 1,663,664,971 | I_kwDOCUB6oc5jKYNL | 22,719 | GPT2DoubleHeadsModel Multiple Choice Head Always Has 1 Out Feature | {
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"Hey! Thanks for opening and issue and reporting this. I'll check if this is expected or not, and if we can open a PR to fix this. \r\nSince gpt2 is a very old model, touching it might be a bit complicated 😓 ",
"Okay! So it seems that the way you are using the model is a bit different from what [the documentatio... | 1,681 | 1,686 | 1,686 | NONE | null | ### System Info
- `transformers` version: 4.27.4
- Platform: Windows-10-10.0.19044-SP0
- Python version: 3.10.0
- Huggingface_hub version: 0.13.4
- PyTorch version (GPU?): 1.13.1+cu116 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not... | {
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https://api.github.com/repos/huggingface/transformers/issues/22729 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22729/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22729/comments | https://api.github.com/repos/huggingface/transformers/issues/22729/events | https://github.com/huggingface/transformers/issues/22729 | 1,664,470,108 | I_kwDOCUB6oc5jNcxc | 22,729 | Report a hyperlink mistake | {
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"Thanks for reporting! Would you be interested in opening a PR to fix it? The exact file to be modified is https://github.com/huggingface/transformers/blob/main/docs/source/en/tasks/token_classification.mdx and then you would have the contribution :) Happy to open a PR otherwise.\r\n\r\nTransfering to the transform... | 1,681 | 1,681 | 1,681 | CONTRIBUTOR | null | The website is https://huggingface.co/docs/transformers/tasks/token_classification
And the sentence is: Mapping all tokens to their corresponding word with the [word_ids](https://huggingface.co/docs/tokenizers/python/latest/api/reference.html#tokenizers.Encoding.word_ids) method.
The hyperlink is mistake, it should b... | {
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https://api.github.com/repos/huggingface/transformers/issues/22718 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22718/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22718/comments | https://api.github.com/repos/huggingface/transformers/issues/22718/events | https://github.com/huggingface/transformers/issues/22718 | 1,663,622,905 | I_kwDOCUB6oc5jKN75 | 22,718 | Failed to create cublas handle: cublas error | {
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"Hi @cosmo3769, thanks for reporting this issue. I'll look into it. \r\n\r\np.s. I think you might have tagged the wrong Amy :) ",
"> Hi @cosmo3769, thanks for reporting this issue. I'll look into it.\r\n\r\nSure.\r\n\r\n> p.s. I think you might have tagged the wrong Amy :)\r\n\r\nOh yeah, sorry for that. 😅\r\n"... | 1,681 | 1,682 | 1,682 | NONE | null | ### System Info
Kaggle with Accelerator **GPU P100**
### Who can help?
@amyeroberts
### Information
- [X] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [X] My own task or dataset (give ... | {
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https://api.github.com/repos/huggingface/transformers/issues/22717 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22717/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22717/comments | https://api.github.com/repos/huggingface/transformers/issues/22717/events | https://github.com/huggingface/transformers/issues/22717 | 1,663,613,149 | I_kwDOCUB6oc5jKLjd | 22,717 | The `xla_device` argument has been deprecated | {
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"Hi @yqiz-98, thanks for reporting this issue. The warning is being raised, as the [config for the checkpoint mrm8488/t5-base-finetuned-question-generation-ap](https://huggingface.co/mrm8488/t5-base-finetuned-question-generation-ap/blob/5b3fa1afa0bba84b23b2c27eb7b4bc35aae63876/config.json#L51) contains [the argumen... | 1,681 | 1,684 | 1,684 | NONE | null | ### System Info
Transformers v4.4.0 pycharm python3.8
### Who can help?
_No response_
### Information
- [X] The official example scripts
- [ ] My own modified scripts
### Tasks
- [X] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or dataset (give de... | {
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https://api.github.com/repos/huggingface/transformers/issues/22716 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22716/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22716/comments | https://api.github.com/repos/huggingface/transformers/issues/22716/events | https://github.com/huggingface/transformers/issues/22716 | 1,663,508,373 | I_kwDOCUB6oc5jJx-V | 22,716 | Unable to install transformers due to RuntimeError with libssl.so.10 | {
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"Do you have openssl installd in your environment ?\r\n\r\n`conda install -c anaconda openssl` ? \r\n\r\nThis library is missing from your environment and `tokenizers` is looking for it when loading.\r\nOr do you have another version of ssl installed maybe ? You can do `locate libssl` to try and find it.",
"@Kodh... | 1,681 | 1,684 | 1,684 | NONE | null | ### System Info
Runnin gthis code on a red hat linux machine
I tried installing transformers with all the methods mentioned in https://huggingface.co/docs/transformers/installation
I am hitting the same error (related to pipelines):
Traceback (most recent call last):
File "/home/eng/s/sxc220013/Documents/t... | {
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https://api.github.com/repos/huggingface/transformers/issues/22715 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22715/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22715/comments | https://api.github.com/repos/huggingface/transformers/issues/22715/events | https://github.com/huggingface/transformers/issues/22715 | 1,663,408,106 | I_kwDOCUB6oc5jJZfq | 22,715 | Can't load the model from your tutorial for inference | {
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"Honestly, there is just too much info in docs which does not help.",
"@kopyl, the first error due to GPU, you moved input into `.to(\"cuda\")`, but model is still on `cpu`. The second error due to lack of preprocessing [file](https://huggingface.co/microsoft/git-base/blob/main/preprocessor_config.json), so you c... | 1,681 | 1,684 | 1,684 | NONE | null | ### System Info
Linux. Doesn't matter
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or dataset (give details below)
### Reproductio... | {
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https://api.github.com/repos/huggingface/transformers/issues/22714 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22714/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22714/comments | https://api.github.com/repos/huggingface/transformers/issues/22714/events | https://github.com/huggingface/transformers/pull/22714 | 1,663,398,200 | PR_kwDOCUB6oc5OEnfM | 22,714 | Adding Cross attention to GPT Neo | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_22714). All of your documentation changes will be reflected on that endpoint.",
"@patrickvonplaten @patil-suraj ",
"@gagan3012 Thanks for contributing and opening the feature request and PR. \r\n\r\nThese changes are fo... | 1,681 | 1,684 | 1,684 | NONE | null | # What does this PR do?
This PR adds Cross attention to GPT Neo
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https://api.github.com/repos/huggingface/transformers/issues/22713 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22713/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22713/comments | https://api.github.com/repos/huggingface/transformers/issues/22713/events | https://github.com/huggingface/transformers/pull/22713 | 1,663,314,584 | PR_kwDOCUB6oc5OEUzF | 22,713 | Added parallel device usage for GPT-J | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,681 | 1,681 | 1,681 | CONTRIBUTOR | null | # What does this PR do?
This PR is within the issue [22561](https://github.com/huggingface/transformers/issues/22561), and is related to issue [22535](https://github.com/huggingface/transformers/pull/22535) which concerns model parallelism. Specifically, this PR fixes the issue in GPT-J where tensors might accident... | {
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https://api.github.com/repos/huggingface/transformers/issues/22712 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22712/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22712/comments | https://api.github.com/repos/huggingface/transformers/issues/22712/events | https://github.com/huggingface/transformers/pull/22712 | 1,663,295,331 | PR_kwDOCUB6oc5OEQuS | 22,712 | [tests] switch to torchrun | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Unfortunately, conda refuses to install `libstdcxx-ng=12`, and gives a super super long report of conflict packages after 20 or more minutes of examization.\r\n\r\nI think we can merge this PR first. And I can try if there is anyway ... | 1,681 | 1,681 | 1,681 | CONTRIBUTOR | null | This PR fixes the following errors in nightly CI tests
```
FAILED tests/extended/test_trainer_ext.py::TestTrainerExt::test_run_seq2seq_apex
1422
FAILED tests/extended/test_trainer_ext.py::TestTrainerExt::test_run_seq2seq_ddp
1423
FAILED tests/extended/test_trainer_ext.py::TestTrainerExt::test_trainer_log_level_r... | {
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https://api.github.com/repos/huggingface/transformers/issues/22711 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22711/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22711/comments | https://api.github.com/repos/huggingface/transformers/issues/22711/events | https://github.com/huggingface/transformers/pull/22711 | 1,663,000,626 | PR_kwDOCUB6oc5ODR-e | 22,711 | Patching clip model to create mask tensor on the device | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@shanmugamr1992 Thanks for opening this PR! \r\n\r\nFor the quality tests to pass, you'll need to run `make fixup` locally and commit any formatting changes that were applied. There were some recent updates to our formatting librarie... | 1,681 | 1,685 | 1,681 | 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/22710 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22710/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22710/comments | https://api.github.com/repos/huggingface/transformers/issues/22710/events | https://github.com/huggingface/transformers/issues/22710 | 1,662,989,300 | I_kwDOCUB6oc5jHzP0 | 22,710 | Llama: Generating text token by token removes whitespaces | {
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"cc @gante \r\nNote that the streaming API is new and still experimental :-)",
"Also note that we aim to match the original tokenizer 1 to 1, while trying not to add super model specific pieces of code in the more general api 😉 ",
"> Note that the streaming API is new and still experimental :-)\r\n\r\nI may be... | 1,681 | 1,697 | 1,681 | NONE | null | ### System Info
- `transformers` version: 4.28.0.dev0
- Platform: Windows-10-10.0.22621-SP0
- Python version: 3.10.10
- Huggingface_hub version: 0.13.4
- Safetensors version: not installed
- PyTorch version (GPU?): 2.0.0+cu117 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?... | {
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https://api.github.com/repos/huggingface/transformers/issues/22709 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22709/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22709/comments | https://api.github.com/repos/huggingface/transformers/issues/22709/events | https://github.com/huggingface/transformers/pull/22709 | 1,662,836,236 | PR_kwDOCUB6oc5OCu1V | 22,709 | Fix passing kwargs to the tokenizer in FillMaskPipeline preprocess method | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_22709). All of your documentation changes will be reflected on that endpoint.",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please... | 1,681 | 1,684 | 1,684 | COLLABORATOR | null | As per title, the kwargs was not passed.
The modification follows https://github.com/huggingface/transformers/blob/fe1f5a639d93c9272856c670cff3b0e1a10d5b2b/src/transformers/pipelines/text_classification.py#L91-L179 | {
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https://api.github.com/repos/huggingface/transformers/issues/22708 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22708/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22708/comments | https://api.github.com/repos/huggingface/transformers/issues/22708/events | https://github.com/huggingface/transformers/pull/22708 | 1,662,521,490 | PR_kwDOCUB6oc5OBpwO | 22,708 | Fix decorator order | {
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"cc @sgugger : I think this observation might be interesting to you.",
"_The documentation is not available anymore as the PR was closed or merged._",
"Yes, this requirement is documented here https://huggingface.co/docs/transformers/testing#to-gpu-or-not-to-gpu but it's not \"enforced\" so it's easy to miss\r\... | 1,681 | 1,681 | 1,681 | COLLABORATOR | null | # What does this PR do?
Fix decorator order.
For some tests, like `test_basic_distributed`, we have the following on `main`.
```
@require_torch_multi_gpu
@parameterized.expand(params, name_func=parameterized_custom_name_func)
def test_basic_distributed(self, stage, dtype):
```
but the (generated... | {
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"cc @younesbelkada (I am mostly thinking about sampling + beam + randomness) ",
"> cc @younesbelkada (I am mostly thinking about sampling + beam + randomness)\r\n\r\nI don't think so, the default arg do_sample of method `generate` is `False`, and I manually set this arg `False`, the result is same as the issue.\r... | 1,681 | 1,707 | 1,681 | NONE | null | ### System Info
- `transformers` version: 4.28.0.dev0
- Platform: Linux-4.15.0-142-generic-x86_64-with-glibc2.23
- Python version: 3.9.16
- Huggingface_hub version: 0.13.4
- Safetensors version: not installed
- PyTorch version (GPU?): 2.0.0+cu117 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax v... | {
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https://api.github.com/repos/huggingface/transformers/issues/22706 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22706/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22706/comments | https://api.github.com/repos/huggingface/transformers/issues/22706/events | https://github.com/huggingface/transformers/issues/22706 | 1,662,276,423 | I_kwDOCUB6oc5jFFNH | 22,706 | transformers trainer llama Trying to resize storage that is not resizable | {
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"Hi @lw3259111, thanks for raising this issue. \r\n\r\nSo that we can best try and help, could you provide some more information about how to reproduce this error. Specifically the following: \r\n* The running environment and important dependency versions. This can be found running `transformers-cli env` in your te... | 1,681 | 1,685 | 1,685 | NONE | null | ### System Info
transformers ==4.28.0.dev0
pytorch==1.13.1
### Who can help?
--
### Information
- [ ] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or dataset (give details below)
##... | {
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https://api.github.com/repos/huggingface/transformers/issues/22705 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22705/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22705/comments | https://api.github.com/repos/huggingface/transformers/issues/22705/events | https://github.com/huggingface/transformers/issues/22705 | 1,662,085,948 | I_kwDOCUB6oc5jEWs8 | 22,705 | using Deepspeed zero stage3 finetune sd2, dimension error occurs | {
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"@stas00\r\ncould please help me take a look at this issue?",
"See https://github.com/huggingface/diffusers/pull/3076\r\n\r\nPlease carefully read the OP of the PR for details.",
"@uygnef Have you solved this problem?\r\n\r\n\r\n",
"@luochuwei Yes, it works for training one model, but there seems to be an iss... | 1,681 | 1,686 | 1,686 | NONE | null | ### System Info
Describe the bug
An error is reported when using deepspeed's zero stage3 finetune diffusers/examples/text_to_image/train_text_to_image.py script. My machine's GPU is 2*A100, running on deepspeed zero stage3
```
def train(args):
if args.non_ema_revision is not None:
deprecate(
... | {
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https://api.github.com/repos/huggingface/transformers/issues/22704 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22704/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22704/comments | https://api.github.com/repos/huggingface/transformers/issues/22704/events | https://github.com/huggingface/transformers/pull/22704 | 1,661,886,403 | PR_kwDOCUB6oc5N_gtu | 22,704 | Remove mask | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"_The documentation is not available anymore as the PR was closed or merged._",
"@sgugger I fixed the issue, but, unfortunately, I have closed and reopened PR to trigger the CircleCI.",
"Thanks a lot!"
] | 1,681 | 1,681 | 1,681 | CONTRIBUTOR | null | # Make vilt, switch_transformers compatible with model parallelism
Fixes https://github.com/huggingface/transformers/issues/22561#issue-1653950092
## 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 gui... | {
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https://api.github.com/repos/huggingface/transformers/issues/22702 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22702/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22702/comments | https://api.github.com/repos/huggingface/transformers/issues/22702/events | https://github.com/huggingface/transformers/pull/22702 | 1,661,724,221 | PR_kwDOCUB6oc5N--lJ | 22,702 | Enable naive Pipeline Parallelism training for Gpt neox japanese and san japanese | {
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"@sgugger Could you review this once?",
"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,681 | 1,681 | 1,681 | CONTRIBUTOR | null | As suggested in the https://github.com/huggingface/transformers/issues/22561, moved labels to the same device as logits for GPT Neox Japanese and Gpt San Japanese | {
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https://api.github.com/repos/huggingface/transformers/issues/22701 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22701/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22701/comments | https://api.github.com/repos/huggingface/transformers/issues/22701/events | https://github.com/huggingface/transformers/pull/22701 | 1,661,707,578 | PR_kwDOCUB6oc5N-7Kr | 22,701 | [test] add CI workflow for VCS installation | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_22701). All of your documentation changes will be reflected on that endpoint.",
"Or we can just leave the setup as is and there won't be any need for this new check :-)",
"> Or we can just leave the setup as is and there ... | 1,681 | 1,684 | 1,684 | CONTRIBUTOR | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/22700 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22700/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22700/comments | https://api.github.com/repos/huggingface/transformers/issues/22700/events | https://github.com/huggingface/transformers/pull/22700 | 1,661,520,687 | PR_kwDOCUB6oc5N-Tv- | 22,700 | Add support of output_scores to flax models | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_22700). All of your documentation changes will be reflected on that endpoint.",
"@sanchit-gandhi @ArthurZucker \r\nCould you please review this PR?",
"I get a new error on CI for test codes of all models:\r\n```AttributeE... | 1,681 | 1,701 | 1,699 | NONE | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/22699 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22699/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22699/comments | https://api.github.com/repos/huggingface/transformers/issues/22699/events | https://github.com/huggingface/transformers/issues/22699 | 1,661,468,860 | I_kwDOCUB6oc5jCAC8 | 22,699 | BF16 on AMD MI250x GPU | {
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"Ah this is a bit of a tricky situation. Is there a way to get the difference between an Nvidia GPU and an AMD GPU from PyTorch? Most users ignore warnings, so I'd really prefer to keep the error, but of course we can refine the test to ignore the GPUs that are not concerned.",
"Perhaps use `torch.cuda.get_device... | 1,681 | 1,697 | 1,684 | CONTRIBUTOR | null | ### System Info
Hi,
on ROCm, I am seeing the following error with BF16
ValueError: Your setup doesn't support bf16/gpu. You need torch>=1.10, using Ampere GPU with cuda>=11.0
raise ValueError(
Since the error and underlying check is NVIDIA specific and can be ignored on AMD MI250X GPUs, it would be good ... | {
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https://api.github.com/repos/huggingface/transformers/issues/22698 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22698/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22698/comments | https://api.github.com/repos/huggingface/transformers/issues/22698/events | https://github.com/huggingface/transformers/pull/22698 | 1,661,328,027 | PR_kwDOCUB6oc5N9o07 | 22,698 | Use code on the Hub from another repo | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,681 | 1,681 | 1,681 | COLLABORATOR | null | # What does this PR do?
This makes it easier to maintain only one source of ground truth when using the code on the Hub feature by storing the repo ID on top of the module containing the class inside the config. Thus, when saving and re-pushing a model using code on the Hub, the code is not copied over anymore, but ... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,681 | 1,681 | 1,681 | COLLABORATOR | null | # What does this PR do?
This PR makes the only quality check that failed without all the dev dependencies work without them, then makes it clear in all contributing guides that installing with the quality extra should be enough for most development. | {
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https://api.github.com/repos/huggingface/transformers/issues/22696 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22696/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22696/comments | https://api.github.com/repos/huggingface/transformers/issues/22696/events | https://github.com/huggingface/transformers/issues/22696 | 1,661,321,335 | I_kwDOCUB6oc5jBcB3 | 22,696 | `no_repeat_ngram_size` has no effect for Flax model | {
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"cc @sanchit-gandhi ",
"Hey @gianlucadetommaso \r\n\r\nYou are right. `no_repeat_ngram` is one of the various logit processors used during generation. While I can see it's defined in tensorflow : https://github.com/huggingface/transformers/blob/151425ddb29d4ad1a121e8cce62000a2ac52d3ba/src/transformers/generation/... | 1,681 | 1,691 | 1,691 | NONE | null | ### System Info
transformes = ^4.27.4, macOS, python = ^3.9.6
### Who can help?
@sanchit-gandhi @ArthurZucker @younesbelkada
### Information
- [ ] The official example scripts
- [X] My own modified scripts
### Tasks
- [X] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ... | {
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https://api.github.com/repos/huggingface/transformers/issues/22695 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/22695/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/22695/comments | https://api.github.com/repos/huggingface/transformers/issues/22695/events | https://github.com/huggingface/transformers/issues/22695 | 1,661,258,184 | I_kwDOCUB6oc5jBMnI | 22,695 | Can't import Mega for causal LM model | {
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"The example you are referring to comes from the documentation of the main branch of Transformers, not the released version. You will thus need a [source install](https://huggingface.co/docs/transformers/installation#install-from-source) to be able to execute it.",
"Thank you @sgugger "
] | 1,681 | 1,681 | 1,681 | CONTRIBUTOR | null | ### System Info
ImportError: cannot import name 'MegaForCausalLM' from 'transformers' (/usr/local/lib/python3.9/dist-packages/transformers/__init__.py)
This happens while running the example code here: https://huggingface.co/docs/transformers/main/model_doc/mega
from transformers import AutoTokenizer, MegaForCau... | {
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