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https://api.github.com/repos/huggingface/transformers/issues/21085 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21085/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21085/comments | https://api.github.com/repos/huggingface/transformers/issues/21085/events | https://github.com/huggingface/transformers/issues/21085 | 1,528,667,280 | I_kwDOCUB6oc5bHZyQ | 21,085 | `import decord` crashes Python kernel/process when moving X-CLIP or other video classification models to CUDA GPU | {
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"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md) a... | 1,673 | 1,677 | 1,677 | NONE | null | ### System Info
- `transformers` version: 4.25.1
- Platform: Linux-6.0.12-76060006-generic-x86_64-with-glibc2.35
- Python version: 3.10.6
- Huggingface_hub version: 0.11.1
- PyTorch version (GPU?): 1.13.0+cu117 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed ... | {
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https://api.github.com/repos/huggingface/transformers/issues/21084 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21084/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21084/comments | https://api.github.com/repos/huggingface/transformers/issues/21084/events | https://github.com/huggingface/transformers/pull/21084 | 1,528,664,729 | PR_kwDOCUB6oc5HIytb | 21,084 | Add Japanese translation to multilingual.mdx | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"I used the formal form to translate because Japanese is normally written in a formal way in docs. \r\n\r\nI wrote this memo because one of the requirements was to use an informal tone. https://github.com/huggingface/transformers/issu... | 1,673 | 1,674 | 1,674 | CONTRIBUTOR | null | Signed-off-by: Shogo Hida <shogo.hida@gmail.com>
# What does this PR do?
Adds Japanese translation to multilingual.mdx
Fixes #18413
<!--
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... | {
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https://api.github.com/repos/huggingface/transformers/issues/21083 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21083/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21083/comments | https://api.github.com/repos/huggingface/transformers/issues/21083/events | https://github.com/huggingface/transformers/pull/21083 | 1,528,616,847 | PR_kwDOCUB6oc5HIogG | 21,083 | Optimize inference only mode memory if ipex is used | {
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"@sgugger @jianan-gu @yao-matrix please review",
"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,673 | 1,673 | 1,673 | CONTRIBUTOR | null | Signed-off-by: Wang, Yi A <yi.a.wang@intel.com>
# What does this PR do?
optimize the memory if used ipex for inference.
<!-- Remove if not applicable -->
Fixes # (issue)
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [ ] D... | {
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https://api.github.com/repos/huggingface/transformers/issues/21082 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21082/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21082/comments | https://api.github.com/repos/huggingface/transformers/issues/21082/events | https://github.com/huggingface/transformers/pull/21082 | 1,528,574,665 | PR_kwDOCUB6oc5HIfgO | 21,082 | Corrected a spelling mistake in CODE_OF_CONDUCT.md | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Ok 😀"
] | 1,673 | 1,673 | 1,673 | NONE | null |
# What does this PR do?
Corrected an English grammar mistake
The noun phrase representative seems to be missing a determiner before it. Consider adding an article like 'the' or ' a'. | {
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https://api.github.com/repos/huggingface/transformers/issues/21081 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21081/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21081/comments | https://api.github.com/repos/huggingface/transformers/issues/21081/events | https://github.com/huggingface/transformers/issues/21081 | 1,528,393,257 | I_kwDOCUB6oc5bGW4p | 21,081 | Could swin-tiny-patch4-window7-224 be traced by using torch.jit.trace? | {
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"cc @NielsRogge ",
"Normally it should work, see https://github.com/huggingface/transformers/issues/17476 for details",
"Hi @NielsRogge , thanks. I tried the approach mentioned in https://github.com/huggingface/transformers/issues/17476. It works. \r\n\r\n```\r\nfrom transformers import SwinModel, SwinConfig\r\... | 1,673 | 1,674 | 1,674 | NONE | null | ### System Info
torch version: 1.12.0+cu102
transformers version: 4.18.0
model: microsoft/swin-tiny-patch4-window7-224
### 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... | {
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https://api.github.com/repos/huggingface/transformers/issues/21080 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21080/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21080/comments | https://api.github.com/repos/huggingface/transformers/issues/21080/events | https://github.com/huggingface/transformers/issues/21080 | 1,528,381,336 | I_kwDOCUB6oc5bGT-Y | 21,080 | Batch Decoding in GPT2 with variable length sequences | {
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"cc @ArthurZucker ",
"@younesbelkada related issue that we had closed before: https://github.com/huggingface/transformers/issues/18809",
"Before diving a bit deeper, I don't really understand why are you using `convert_id_to_tokens` instead of juste using the `tokenizer.batch_decode` method? Did you try with it... | 1,673 | 1,682 | 1,682 | NONE | null | ### System Info
- `transformers` version: 4.25.1
- Platform: Linux-4.18.0-372.26.1.el8_6.x86_64-x86_64-with-glibc2.17
- Python version: 3.8.11
- Huggingface_hub version: 0.11.1
- PyTorch version (GPU?): 1.12.1 (False)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed ... | {
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https://api.github.com/repos/huggingface/transformers/issues/21079 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21079/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21079/comments | https://api.github.com/repos/huggingface/transformers/issues/21079/events | https://github.com/huggingface/transformers/issues/21079 | 1,528,052,444 | I_kwDOCUB6oc5bFDrc | 21,079 | TokenGT | {
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"@clefourrier for sure will work",
"Thanks for assigning.\r\n@clefourrier 😊 I am still examining and experimenting more...",
"Ping me if you need help! :smile: ",
"😢 giving up fingering out myself \r\nmy level - I was not familiar with transformer architecture, collator etc, and other models like bert \r\n... | 1,673 | 1,706 | null | MEMBER | null | ### Model description
Adding the TokenGT graph transformer model with @Raman-Kumar (see [Graphormer issue](https://github.com/huggingface/transformers/issues/20962#issuecomment-1375361519))
@Raman-Kumar I'll create a PR with what I had ported of TokenGT at the end of the week, to give you a starting point! You'll... | {
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https://api.github.com/repos/huggingface/transformers/issues/21078 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21078/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21078/comments | https://api.github.com/repos/huggingface/transformers/issues/21078/events | https://github.com/huggingface/transformers/issues/21078 | 1,527,865,202 | I_kwDOCUB6oc5bEV9y | 21,078 | batched generate using forced_decoder_ids | {
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"cc @gante ",
"Hey @ghadiaravi13 👋 \r\n\r\nI see no major technical hurdles to implementing the feature. However, before we go that route, what is the use case you expect from that feature? (As any increase in complexity, we should make sure it is done for a good reason :) )",
"Hi @gante!\r\n\r\nThe expected u... | 1,673 | 1,675 | 1,674 | NONE | null | ### Feature request
Currently, forced_decoder_ids only accepts a single list of [index,token_id] to force the decoder output given an input. However, it does not support batched output forcing, where input itself is a batch. Can we have this support to have forced_decoder_ids = List(List(List([int,int]))) where 0th di... | {
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https://api.github.com/repos/huggingface/transformers/issues/21077 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21077/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21077/comments | https://api.github.com/repos/huggingface/transformers/issues/21077/events | https://github.com/huggingface/transformers/issues/21077 | 1,527,663,887 | I_kwDOCUB6oc5bDk0P | 21,077 | TypeError (NumPy concatenation) in modeling_wav2vec2 at _sample_negative_indices | {
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"cc @sanchit-gandhi ",
"Hey @anautsch! Thanks for opening this issue 🤗 Would it be possible to provide a reproducible code snippet that only uses `transformers`? This way we can pinpoint the exact issue in the library.\r\n\r\nIn an attempt to try and reproduce your issue, I tested the Wav2Vec2 pretraining script... | 1,673 | 1,674 | 1,673 | NONE | null | ### System Info
- `transformers` version: 4.25.1
- Platform: Linux-5.4.0-73-generic-x86_64-with-glibc2.27
- Python version: 3.9.15
- Huggingface_hub version: 0.11.0
- PyTorch version (GPU?): 1.13.0 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax... | {
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https://api.github.com/repos/huggingface/transformers/issues/21076 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21076/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21076/comments | https://api.github.com/repos/huggingface/transformers/issues/21076/events | https://github.com/huggingface/transformers/issues/21076 | 1,527,346,789 | I_kwDOCUB6oc5bCXZl | 21,076 | Pushing T5ForConditionalGeneration to hub | {
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"It will be very hard to help you without a reproducible example. `T5ForConditionalGeneration` is a `PreTrainedModel` and so does have a `push_to_hub` method.",
"Oh, I’m sorry, @sgugger, here is my code\r\nhttps://colab.research.google.com/drive/1a59B4e8AooTFkUeMOs5Zsa0DIBWGM3k6?usp=sharing\r\n\r\nthe relevant pa... | 1,673 | 1,673 | 1,673 | NONE | null | ### System Info
- `transformers` version: 4.25.1
- Platform: Linux-5.10.147+-x86_64-with-glibc2.27
- Python version: 3.8.16
- Huggingface_hub version: 0.11.1
- PyTorch version (GPU?): 1.13.0+cu116 (True)
- Tensorflow version (GPU?): 2.9.2 (True)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
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https://api.github.com/repos/huggingface/transformers/issues/21075 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21075/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21075/comments | https://api.github.com/repos/huggingface/transformers/issues/21075/events | https://github.com/huggingface/transformers/issues/21075 | 1,526,712,521 | I_kwDOCUB6oc5a_8jJ | 21,075 | CompVis/stable-diffusion-v1-4 does not appear to have a file named tokenizer/config.json | {
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"The following sample runs without any issue:\r\n```py\r\nfrom transformers import AutoTokenizer\r\n\r\ntokenizer = AutoTokenizer.from_pretrained(\r\n \"CompVis/stable-diffusion-v1-4\",\r\n subfolder=\"tokenizer\",\r\n use_fast=False,\r\n)\r\n```\r\n\r\nPlease include a code reproducer of your issue.",
"... | 1,673 | 1,673 | 1,673 | NONE | null | ### System Info
when I use AutoTokenizer to load tokenizer，use the code below；
tokenizer = transformers.AutoTokenizer.from_pretrained(
args.pretrained_model_name_or_path,
subfolder="tokenizer",
revision=args.revision,
use_fast=False,
)
but I found can't ge... | {
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https://api.github.com/repos/huggingface/transformers/issues/21074 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21074/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21074/comments | https://api.github.com/repos/huggingface/transformers/issues/21074/events | https://github.com/huggingface/transformers/pull/21074 | 1,526,695,230 | PR_kwDOCUB6oc5HCOYg | 21,074 | [WIP]add transformer transducer | {
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"Hey @jp1924! As discussed on the issue https://github.com/huggingface/transformers/issues/20961#issuecomment-1382245091, it's not possible to add a model to `transformers` when official weights are not available (please refer to the message thread for more details).\r\n\r\nI would advise that you focus the impleme... | 1,673 | 1,677 | 1,676 | NONE | null | # What does this PR do?
#20961
This PR adds [Transformer-Transducer: A Streamable Speech Recognition Model with Transformer Encoders and RNN-T Loss](https://arxiv.org/abs/2002.02562)
This model is streaming model that model recognize text from audio in real-time and There is no site where model weight has been upl... | {
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https://api.github.com/repos/huggingface/transformers/issues/21073 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21073/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21073/comments | https://api.github.com/repos/huggingface/transformers/issues/21073/events | https://github.com/huggingface/transformers/issues/21073 | 1,526,561,139 | I_kwDOCUB6oc5a_Xlz | 21,073 | Pre-trained tokenizer `repr` is inconsistent with attribute name | {
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"The `PreTrainedTokenizerFast` and `PreTrainedTokenizerBase` are abstract classes and should not really be used. The `model_max_len` is a vestige of a previous argument, opening a PR to fix this typo as indeed the attribute does not exist. "
] | 1,673 | 1,673 | 1,673 | NONE | null | ### System Info
- `transformers` version: 4.26.0.dev0
- Platform: macOS-12.5.1-x86_64-i386-64bit
- Python version: 3.10.8
- Huggingface_hub version: 0.11.1
- PyTorch version (GPU?): 1.13.1 (False)
- Tensorflow version (GPU?): 2.11.0 (False)
- Flax version (CPU?/GPU?/TPU?): 0.6.3 (cpu)
- Jax version: 0.4.1
- Ja... | {
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https://api.github.com/repos/huggingface/transformers/issues/21072 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21072/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21072/comments | https://api.github.com/repos/huggingface/transformers/issues/21072/events | https://github.com/huggingface/transformers/pull/21072 | 1,526,539,751 | PR_kwDOCUB6oc5HBvB9 | 21,072 | Fix header level | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,673 | 1,673 | 1,673 | MEMBER | null | Fixes header level for the last two sections in the pipeline tutorial. | {
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https://api.github.com/repos/huggingface/transformers/issues/21071 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21071/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21071/comments | https://api.github.com/repos/huggingface/transformers/issues/21071/events | https://github.com/huggingface/transformers/pull/21071 | 1,526,529,815 | PR_kwDOCUB6oc5HBs-A | 21,071 | Fix git model for generate with beam search. | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Hey, there seems to be an issue with the Circle CI. Will ping @sgugger for this. \r\nCan you add the error you are getting on your issue? \r\nI think we should also add a test to make sure that this model is ran, the fix LGTM 😉 than... | 1,673 | 1,674 | 1,674 | CONTRIBUTOR | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/21070 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21070/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21070/comments | https://api.github.com/repos/huggingface/transformers/issues/21070/events | https://github.com/huggingface/transformers/issues/21070 | 1,526,527,743 | I_kwDOCUB6oc5a_Pb_ | 21,070 | GIT does not work with beam search | {
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- `transformers` version: 4.26.0.dev0
- Platform: Linux-5.4.143.bsk.7-amd64-x86_64-with-glibc2.31
- Python version: 3.9.2
- Huggingface_hub version: 0.11.1
- PyTorch version (GPU?): 1.13.1 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
... | {
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https://api.github.com/repos/huggingface/transformers/issues/21069 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21069/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21069/comments | https://api.github.com/repos/huggingface/transformers/issues/21069/events | https://github.com/huggingface/transformers/pull/21069 | 1,526,440,819 | PR_kwDOCUB6oc5HBaYk | 21,069 | Update squad.py | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_21069). 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... | 1,673 | 1,676 | 1,676 | NONE | null | # What does this PR do?
Fix a bug for the Splinter Tokenizer to account for the extra [QUESTION] and period token.
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https://api.github.com/repos/huggingface/transformers/issues/21068 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21068/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21068/comments | https://api.github.com/repos/huggingface/transformers/issues/21068/events | https://github.com/huggingface/transformers/issues/21068 | 1,526,439,824 | I_kwDOCUB6oc5a-5-Q | 21,068 | DeBerta Wrong Dimension for MLM Prediction Head | {
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"Not sure I understand where you found that we only have from `hidden_size` to `hidden_size`, but for `MLM`, we use the `DebertaOnlyMLMHead`, which uses a `decoder` that is the prediction head. See `self.decoder = nn.Linear(config.hidden_size, config.vocab_size, bias=False)` [here](https://github.com/huggingface/tr... | 1,673 | 1,674 | 1,674 | CONTRIBUTOR | null | ### System Info
From the [original implementation](https://github.com/microsoft/DeBERTa/blob/master/DeBERTa/deberta/mlm.py#L21), the MLM head transforms the hidden dimension to the embedding dimension.
However, it seems that in the HF version, we go from `hidden_size` to `hidden_size`. Shouldn't it be from `hidd... | {
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https://api.github.com/repos/huggingface/transformers/issues/21067 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21067/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21067/comments | https://api.github.com/repos/huggingface/transformers/issues/21067/events | https://github.com/huggingface/transformers/pull/21067 | 1,526,381,472 | PR_kwDOCUB6oc5HBNYX | 21,067 | Update task summary | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Ok, I'm finally finished with the first draft (took a bit longer to learn some models I wasn't familiar with)! I'd appreciate a general review of the scope of this page to make sure we're aligned (ie, are some sections too in-depth, ... | 1,673 | 1,675 | 1,675 | MEMBER | null | This is the second part of updating the task summary to be more conceptual. After a brief introduction and background to the tasks Transformers can solve in [part 1](https://github.com/huggingface/transformers/pull/21014), this PR is a bit more advanced and digs deeper into explaining how Transformer solves these tasks... | {
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https://api.github.com/repos/huggingface/transformers/issues/21066 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21066/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21066/comments | https://api.github.com/repos/huggingface/transformers/issues/21066/events | https://github.com/huggingface/transformers/pull/21066 | 1,526,118,095 | PR_kwDOCUB6oc5HATSd | 21,066 | Update docstring for CLIPConfig | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Yes, you will need to refresh your circleCI permissions and push an empty commit so we can check the tests are passing.",
"@sgugger Done."
] | 1,673 | 1,673 | 1,673 | CONTRIBUTOR | null | # What does this PR do?
<!--
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Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
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https://api.github.com/repos/huggingface/transformers/issues/21065 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21065/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21065/comments | https://api.github.com/repos/huggingface/transformers/issues/21065/events | https://github.com/huggingface/transformers/pull/21065 | 1,525,832,025 | PR_kwDOCUB6oc5G_U0b | 21,065 | Fixed resize_token_embedding issue #21053 | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"cc @gante and @Rocketknight1 ",
"@sgugger feel free to merge if you approve. As I wrote above, other models have a similar problem (which require a more elaborate fix)",
"@susnato can you remove the `Fixes https://github.com/hugg... | 1,673 | 1,706 | 1,673 | CONTRIBUTOR | null | # What does this PR do?
There was a typo in Line 449 in [huggingface/transformers/blob/main/src/transformers/models/gpt2/modeling_tf_gpt2.py](https://github.com/huggingface/transformers/blob/48d4e147d824efab97637947709d5aa67c809b3d/src/transformers/models/gpt2/modeling_tf_gpt2.py#L449) where the code was doing a che... | {
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https://api.github.com/repos/huggingface/transformers/issues/21064 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21064/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21064/comments | https://api.github.com/repos/huggingface/transformers/issues/21064/events | https://github.com/huggingface/transformers/issues/21064 | 1,525,661,778 | I_kwDOCUB6oc5a78BS | 21,064 | Preserving gradient flow through Clip Processor | {
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"cc @ArthurZucker and @amyeroberts ",
"Sorry, here's a properly formatted snippet :) These are just a few of the transformations in the hf implementation, but would be happy to properly implement all of the transforms in the CLIPImageProcessor class\r\n```\r\nclass ProcessorGradientFlow():\r\n \"\"\"\r\n Th... | 1,673 | 1,677 | 1,677 | CONTRIBUTOR | null | ### Feature request
Hi,
I was using the HF CLIP implementation to build a VQGAN CLIP Implementation and noticed that the CLIPProcessor forces conversion to PIL Images for efficiency. However, when inputting torch tensor images to the processor, this breaks gradient flow.
### Motivation
Would like to b... | {
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https://api.github.com/repos/huggingface/transformers/issues/21063 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21063/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21063/comments | https://api.github.com/repos/huggingface/transformers/issues/21063/events | https://github.com/huggingface/transformers/pull/21063 | 1,525,315,969 | PR_kwDOCUB6oc5G9jzF | 21,063 | [WIP] [Whisper] Add specaugment | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Seems like a very needed feature! what is the status? was this functionality tested? ",
"And as mentioned by @samuelazran we should add at least one test, if possible comparing with the original masking (if openAI added it to thei... | 1,673 | 1,674 | 1,674 | CONTRIBUTOR | null | # What does this PR do?
<!--
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https://api.github.com/repos/huggingface/transformers/issues/21062 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21062/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21062/comments | https://api.github.com/repos/huggingface/transformers/issues/21062/events | https://github.com/huggingface/transformers/pull/21062 | 1,525,179,686 | PR_kwDOCUB6oc5G9GAA | 21,062 | Fixed low_cpu_mem_usage issue #21039 | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Hi, @sgugger I solved the `check_code_quality` test but the `tests_torch` is still giving me error, I ran the whole test locally which was failing before(by checking from this [link](https://app.circleci.com/pipelines/github/huggingf... | 1,673 | 1,706 | 1,673 | CONTRIBUTOR | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/21061 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21061/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21061/comments | https://api.github.com/repos/huggingface/transformers/issues/21061/events | https://github.com/huggingface/transformers/issues/21061 | 1,525,131,814 | I_kwDOCUB6oc5a56om | 21,061 | Force_download=True not working, `No such file or directory: './.cache/models--togethercomputer--GPT-JT-6B-v1/refs/main'` | {
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"Hi, @bhavnicksm can you provide more information about your system (by using `transformers-cli env` in terminal) so that it will be easier to reproduce the code? ",
"Can you also tell us if there is folder `./.cache/` where you execute this code? Reading the error, it might simply be because the cache folder wa... | 1,673 | 1,673 | 1,673 | NONE | null | ### System Info
- `transformers` version: 4.25.1
- Platform: Linux-5.15.0-57-generic-x86_64-with-glibc2.29
- Python version: 3.8.10
- Huggingface_hub version: 0.11.1
- PyTorch version (GPU?): 1.13.1+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/21060 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21060/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21060/comments | https://api.github.com/repos/huggingface/transformers/issues/21060/events | https://github.com/huggingface/transformers/pull/21060 | 1,525,096,973 | PR_kwDOCUB6oc5G8z7S | 21,060 | add GPTSAN model | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_21060). All of your documentation changes will be reflected on that endpoint.",
"generate() now works with greedy_gen_mode, but I want contrastive_search to be the default. Is there any reference code somewhere for that?",
... | 1,673 | 1,674 | 1,674 | CONTRIBUTOR | null | # Model description
GPTSAN is a Japanese language model using Switch Transformer. It has the same structure as the model introduced as Prefix LM in the T5 paper, and works with both Test Generation and Masked Language Model.
To add this model to the transformer, I did the following:
Porting GPTSAN to PyTorch. Mo... | {
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https://api.github.com/repos/huggingface/transformers/issues/21059 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21059/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21059/comments | https://api.github.com/repos/huggingface/transformers/issues/21059/events | https://github.com/huggingface/transformers/issues/21059 | 1,525,045,374 | I_kwDOCUB6oc5a5lh- | 21,059 | Can the transformer models run without any local storage at all? | {
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"This is indeed to supported by the library.",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues that do not follow the [contributing guidelines](https://github.com/hugg... | 1,673 | 1,676 | 1,676 | NONE | null | ### Feature request
We have a use case where we'd like to download transformer models from our S3 or other storage location directly into memory (without saving it in local storage), finetune the model and save the final model directly to the remote storage through an API.
We're wondering if this use case of not us... | {
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https://api.github.com/repos/huggingface/transformers/issues/21058 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21058/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21058/comments | https://api.github.com/repos/huggingface/transformers/issues/21058/events | https://github.com/huggingface/transformers/issues/21058 | 1,524,904,856 | I_kwDOCUB6oc5a5DOY | 21,058 | `rank = dist.get_rank()` throws `group error` while loading model with running `AutoModelForSeq2SeqLM.from_pretrained` using deepspeed | {
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"That traceback doesn't look like an issue in the HF integration, indeed could you try some more recent pytorch first? You're not even using a released version of 1.8, but some nightly/rc version (`torch version .................... 1.8.0a0+1606899`). I'd try 1.12 or 1.13 (latest).\r\n\r\nPlease let me know if it ... | 1,673 | 1,676 | 1,676 | NONE | null | ### System Info
- `transformers` version: 4.25.1
- Platform: Linux-3.10.0-514.26.2.el7.x86_64-x86_64-with-glibc2.10
- Python version: 3.8.5
- Huggingface_hub version: 0.11.1
- PyTorch version (GPU?): 1.8.0a0+1606899 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not ins... | {
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https://api.github.com/repos/huggingface/transformers/issues/21057 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21057/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21057/comments | https://api.github.com/repos/huggingface/transformers/issues/21057/events | https://github.com/huggingface/transformers/issues/21057 | 1,524,747,181 | I_kwDOCUB6oc5a4cut | 21,057 | Whisper decoding returns exception about outputs.logits shape | {
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"cc @ArthurZucker ",
"Hey! Could you provide a reproducing script with the dataset? The file might be corrupted.",
"To reproduce you can try this code\r\n\r\n```\r\n#!/usr/bin/env python3\r\n\r\nfrom transformers import WhisperProcessor, WhisperForConditionalGeneration\r\nimport torch\r\nimport torchaudio\r\n\r... | 1,673 | 1,675 | 1,675 | NONE | null | ### System Info
`transformers` version: 4.26.0.dev0
- Platform: Linux-5.10.0-20-amd64-x86_64-with-glibc2.31
- Python version: 3.9.2
- Huggingface_hub version: 0.11.1
- PyTorch version (GPU?): 1.13.1+cu117 (False)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (N... | {
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https://api.github.com/repos/huggingface/transformers/issues/21056 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21056/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21056/comments | https://api.github.com/repos/huggingface/transformers/issues/21056/events | https://github.com/huggingface/transformers/issues/21056 | 1,524,735,343 | I_kwDOCUB6oc5a4Z1v | 21,056 | I have a problem trained model with tensorflow on transformer pipeline male error | {
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"You are using a Keras model here, but the `pipeline` can only deal with `TFPreTrainedModel`s (models of the Transformers library).",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease no... | 1,673 | 1,676 | 1,676 | NONE | null | <details><summary>Click to expand!</summary>
### Issue Type
Bug
### Have you reproduced the bug with TF nightly?
Yes
### Source
source
### Tensorflow Version
2.8
### Custom Code
Yes
### OS Platform and Distribution
_No response_
### Mobile device
_No response_
### Python ... | {
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https://api.github.com/repos/huggingface/transformers/issues/21055 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21055/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21055/comments | https://api.github.com/repos/huggingface/transformers/issues/21055/events | https://github.com/huggingface/transformers/pull/21055 | 1,524,711,039 | PR_kwDOCUB6oc5G7eWV | 21,055 | Add Spanish translation to community.mdx | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,673 | 1,673 | 1,673 | CONTRIBUTOR | null | # What does this PR do?
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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/21054 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21054/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21054/comments | https://api.github.com/repos/huggingface/transformers/issues/21054/events | https://github.com/huggingface/transformers/issues/21054 | 1,524,694,741 | I_kwDOCUB6oc5a4P7V | 21,054 | X-CLIP and other video classification models can't be loaded into CUDA GPU for inference without crashing the kernel/process | {
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"After trying to revert the driver back from 525 to 515 and installing CUDA with other methods, such as by specifying `cuda_toolkit=11.7` in the `conda` installation (I originally just used `venv`), I've found out that my original configuration (under \"Other details\" above) worked if I did not import decord. \r\... | 1,673 | 1,673 | 1,673 | NONE | null | ### System Info
Originally:
- `transformers` version: 4.25.1 (also tried 4.26.0-dev directly from the GitHub main branch)
- Platform: Linux-6.0.12-76060006-generic-x86_64-with-glibc2.35
- Python version: 3.10.6
- Huggingface_hub version: 0.11.1
- PyTorch version (GPU?): 1.13.0+cu117 (True)
- Tensorflow version (... | {
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https://api.github.com/repos/huggingface/transformers/issues/21053 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21053/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21053/comments | https://api.github.com/repos/huggingface/transformers/issues/21053/events | https://github.com/huggingface/transformers/issues/21053 | 1,524,689,075 | I_kwDOCUB6oc5a4Oiz | 21,053 | Token embedding resizing does not work for TFGPT2Model | {
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"@visionscaper thank you for raising the issue! It is a generalized problem with this check, which should only rely on the config's vocab size (which is the only reliable source of the actual vocabulary size at any given moment).\r\n\r\n@susnato opened a fix for GPT2, but other models will also need a fix as well",... | 1,673 | 1,674 | 1,674 | NONE | null | ### System Info
- `transformers` version: 4.25.1
- Platform: Linux-5.15.0-57-generic-x86_64-with-glibc2.35
- Python version: 3.9.16
- Huggingface_hub version: 0.11.1
- PyTorch version (GPU?): not installed (NA)
- Tensorflow version (GPU?): 2.11.0 (True)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax ... | {
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https://api.github.com/repos/huggingface/transformers/issues/21052 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21052/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21052/comments | https://api.github.com/repos/huggingface/transformers/issues/21052/events | https://github.com/huggingface/transformers/issues/21052 | 1,524,607,085 | I_kwDOCUB6oc5a36ht | 21,052 | Fine-tune GIT on custom dataset [Expected input batch_size to match target batch_size] | {
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"@vasyza I'm doing research in swimming area and have the same issue. How to fix that?",
"@sgugger and other developers please help",
"I am not too sure how you want us to help without providing a reproducible example of the error you get."
] | 1,673 | 1,673 | 1,673 | NONE | null | deleted | {
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https://api.github.com/repos/huggingface/transformers/issues/21051 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21051/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21051/comments | https://api.github.com/repos/huggingface/transformers/issues/21051/events | https://github.com/huggingface/transformers/pull/21051 | 1,524,571,441 | PR_kwDOCUB6oc5G7BP_ | 21,051 | Add support for csv dataset files | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thanks for your PR, but csv datasets cannot work with the expected data format (nested dictionaries with languages)."
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https://api.github.com/repos/huggingface/transformers/issues/21050 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21050/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21050/comments | https://api.github.com/repos/huggingface/transformers/issues/21050/events | https://github.com/huggingface/transformers/pull/21050 | 1,524,462,312 | PR_kwDOCUB6oc5G6rVb | 21,050 | Patch-past-refactor | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,673 | 1,673 | 1,673 | COLLABORATOR | null | # What does this PR do?
Should fix the test that broke `main`
cc @sgugger | {
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https://api.github.com/repos/huggingface/transformers/issues/21049 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21049/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21049/comments | https://api.github.com/repos/huggingface/transformers/issues/21049/events | https://github.com/huggingface/transformers/pull/21049 | 1,524,429,250 | PR_kwDOCUB6oc5G6lZ9 | 21,049 | Fix warning for MCTC model | {
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"Merging to fix the warning @ydshieh but can address any comment in a later PR :-) ",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_21049). All of your documentation changes will be reflected on that endpoint."
] | 1,673 | 1,673 | 1,673 | COLLABORATOR | null | # What does this PR do?
In #20861, the warning introduced did not use the right direction for the test. This PR fixes that.
Fixes #21031 | {
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https://api.github.com/repos/huggingface/transformers/issues/21048 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21048/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21048/comments | https://api.github.com/repos/huggingface/transformers/issues/21048/events | https://github.com/huggingface/transformers/pull/21048 | 1,524,395,951 | PR_kwDOCUB6oc5G6fSy | 21,048 | fix typo | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,673 | 1,673 | 1,673 | CONTRIBUTOR | null | # What does this PR do?
Typo fix: Corrected the word metada --> metadata
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING... | {
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https://api.github.com/repos/huggingface/transformers/issues/21047 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21047/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21047/comments | https://api.github.com/repos/huggingface/transformers/issues/21047/events | https://github.com/huggingface/transformers/pull/21047 | 1,524,251,729 | PR_kwDOCUB6oc5G6Bu6 | 21,047 | Remove Roberta Dependencies from XLM Roberta Flax and Tensorflow models | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thanks! There are a couple of places where the copy does not match the original. You can test locally with `make repo-consistency` to get the failing tests. Let me know if you need help!",
"HI @sgugger, thanks for the advice! I've ... | 1,673 | 1,674 | 1,674 | CONTRIBUTOR | null | # What does this PR do?
This removes Roberta dependencies from XLM Roberta Flax and Tensorflow Models.
I'm a bit confused about whether the `name` parameter to `TFXLMRobertaMainLayer` should be `xml-roberta` or `xml_roberta` - I've gome with `xml-roberta` for now.
i.e. `self.XLMRoberta = TFXLMRobertaMainLayer(co... | {
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omien kasvojen treenausta
### Open source status
- [ ] The model implementation is available
- [ ] The model weights are available
### Provide useful links for the implementation
_No response_ | {
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https://api.github.com/repos/huggingface/transformers/issues/21045 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21045/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21045/comments | https://api.github.com/repos/huggingface/transformers/issues/21045/events | https://github.com/huggingface/transformers/issues/21045 | 1,523,972,632 | I_kwDOCUB6oc5a1foY | 21,045 | VisualBertTokenizer | {
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"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md) a... | 1,673 | 1,676 | 1,676 | NONE | null | ### Feature request
VisualBert takes 2 main inputs: tokenized text and tokenized images.
The text tokenization can already be handled by the BertTokenizer, but the visual tokenization still has no support, and is no trivial task. This visual tokens are built with embeddings derived from a set of regions, each one co... | {
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https://api.github.com/repos/huggingface/transformers/issues/21044 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21044/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21044/comments | https://api.github.com/repos/huggingface/transformers/issues/21044/events | https://github.com/huggingface/transformers/pull/21044 | 1,523,665,848 | PR_kwDOCUB6oc5G4Gqw | 21,044 | Add `min_new_tokens` argument in generate() (implementation based on `MinNewTokensLengthLogitsProcessor`) | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"(@sgugger ready to merge if you agree. For context: this PR makes the `MinNewTokensLengthLogitsProcessor` usable from `.generate`, if the user passes `min_new_tokens` in the generate config or as an argument)"
] | 1,673 | 1,673 | 1,673 | CONTRIBUTOR | null | # What does this PR do?
Fixes #20756 #20814 #20614 (cc @gonced8 @kotikkonstantin)
As many said, it is better to add an argument `min_new_tokens` to the `.generate()` method to limit the length of newly generated tokens. The current parameter `min_length` limits the length of `prompt + newly generated tokens`, not t... | {
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"Hi @IMvision12! Thanks for taking this on, I think ConvNeXT V2 would be a great addition to transformers.\r\n\r\nIf you have any questions about the internal logic of the library or run into issues, you can ping me or @NielsRogge anytime. We can also create a Slack channel and continue the collaboration on the PR ... | 1,673 | 1,676 | 1,676 | CONTRIBUTOR | null | ### Model description
Short Description
Just released - ConvNeXt with a new internal layer.
In this paper, Authors propose a fully convolutional masked autoencoder framework and a new Global Response Normalization (GRN) layer that can be added to the ConvNeXt architecture to enhance inter-channel feature competi... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,673 | 1,673 | 1,673 | CONTRIBUTOR | null | # What does this PR do?
<!--
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https://api.github.com/repos/huggingface/transformers/issues/21041 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21041/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21041/comments | https://api.github.com/repos/huggingface/transformers/issues/21041/events | https://github.com/huggingface/transformers/issues/21041 | 1,523,492,650 | I_kwDOCUB6oc5azqcq | 21,041 | Add Tri-Stage Scheduler, proposed in SpecAugment | {
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"Note that we won't accept new optimizer/scheduler in the Transformers library as the main goal of Transformers is models :-)\r\nYou can add the scheduler directly to an example however!",
"ok! thank you for your reply!"
] | 1,673 | 1,673 | 1,673 | NONE | null | ### Feature request
paper: [SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition](https://arxiv.org/abs/1904.08779)
code: [Fairseq Tri-Stage Scheudler](https://github.com/facebookresearch/fairseq/blob/main/fairseq/optim/lr_scheduler/tri_stage_lr_scheduler.py)
i want to add Tri-Stage Sche... | {
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https://api.github.com/repos/huggingface/transformers/issues/21040 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21040/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21040/comments | https://api.github.com/repos/huggingface/transformers/issues/21040/events | https://github.com/huggingface/transformers/issues/21040 | 1,523,130,725 | I_kwDOCUB6oc5aySFl | 21,040 | pytorch-pretrained-bert and transformers give different results | {
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"Hi, @alicialitrtwe \r\n\r\nIn Huggingface the model is loaded from [here](https://huggingface.co/bert-large-cased)\r\nwhich as the description says has 336M paramaters\r\n\r\nThis model has the following configuration:(taken from [here](https://huggingface.co/bert-large-cased))\r\n * 24-layer\r\n * 1024 hidden... | 1,673 | 1,676 | 1,676 | NONE | null | ### System Info
```shell
- `transformers` version: 4.25.1
- Platform: Linux-5.4.0-122-generic-x86_64-with-glibc2.31
- Python version: 3.9.5
- Huggingface_hub version: 0.11.1
- PyTorch version (GPU?): 1.13.1+cu117 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installe... | {
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https://api.github.com/repos/huggingface/transformers/issues/21039 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21039/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21039/comments | https://api.github.com/repos/huggingface/transformers/issues/21039/events | https://github.com/huggingface/transformers/issues/21039 | 1,523,121,282 | I_kwDOCUB6oc5ayPyC | 21,039 | low_cpu_mem_usage raises KeyError with modified GPT2 model | {
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"Hi, @Wenhan-Tan \r\nI have made a PR regarding this issue, you can checkout the branch `fix_low_cpu_mem_usage` from my repository ([here](https://github.com/susnato/transformers/tree/fix_low_cpu_mem_usage)) and check if it solves your issue or not until the mods take any action on my PR or maybe merge it.\r\n\r\nT... | 1,673 | 1,673 | 1,673 | NONE | null | ### System Info
```
- `transformers` version: 4.25.1
- Platform: Linux-5.4.0-135-generic-x86_64-with-glibc2.10
- Python version: 3.8.13
- Huggingface_hub version: 0.11.1
- PyTorch version (GPU?): 1.13.0+cu117 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (... | {
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https://api.github.com/repos/huggingface/transformers/issues/21038 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21038/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21038/comments | https://api.github.com/repos/huggingface/transformers/issues/21038/events | https://github.com/huggingface/transformers/pull/21038 | 1,523,083,471 | PR_kwDOCUB6oc5G2LDy | 21,038 | Add: tensorflow example for image classification task guide | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thank you all for the reviews! \r\nI have added the final part - data augmentation (kudos to @sayakpaul for helping me troubleshoot the issues I was having). The example is now complete. Let me know if it looks good enough to be merg... | 1,673 | 1,674 | 1,673 | CONTRIBUTOR | null | This PR addresses https://github.com/huggingface/transformers/issues/21037
It adds a Tensorflow example to the existing task guide on image classification.
State of the PR:
The example illustrates preprocessing in TF, training, and pushing to Hub. The code samples have been tested and they work/reproduce. | {
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https://api.github.com/repos/huggingface/transformers/issues/21037 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21037/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21037/comments | https://api.github.com/repos/huggingface/transformers/issues/21037/events | https://github.com/huggingface/transformers/issues/21037 | 1,523,073,934 | I_kwDOCUB6oc5ayEOO | 21,037 | Add tensorflow example for the image classification task guide | {
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add sample code for the TensorFlow part.
This example can supplement the existing guide and can be helpful to those who choose TensorFlow over PyTorch and would like to use Transformers for image classificati... | {
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https://api.github.com/repos/huggingface/transformers/issues/21036 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21036/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21036/comments | https://api.github.com/repos/huggingface/transformers/issues/21036/events | https://github.com/huggingface/transformers/pull/21036 | 1,522,867,493 | PR_kwDOCUB6oc5G1cVB | 21,036 | remove flax from `documentation_tests.txt` | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Ah, this explains why the previous example had several issues 😅 \r\n\r\n@ydshieh We don't plan to add FLAX to the doctests, correct?",
"@gante Not a no from me. I think it's good to make sure the examples work (this is in the rang... | 1,673 | 1,673 | 1,673 | COLLABORATOR | null | # What does this PR do?
#21009 added `src/transformers/generation/flax_utils.py` to `documentation_tests.txt`, but CI image doesn't have `jax/flax` installed. The whole doctest suite failed, and reported 0 failure.
This PR removes this file from `documentation_tests.txt`. The CI image used is the same as the sche... | {
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https://api.github.com/repos/huggingface/transformers/issues/21035 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21035/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21035/comments | https://api.github.com/repos/huggingface/transformers/issues/21035/events | https://github.com/huggingface/transformers/pull/21035 | 1,522,793,950 | PR_kwDOCUB6oc5G1MTR | 21,035 | feature: update wandb callback to upload checkpoints | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Hey, @sgugger : Thanks for the quick review and suggestions. I've resolved all the issues. :hugs:",
"@parambharat There is a weird issue with the tests. Could you try refreshing your permissions as shown [here](https://support.circ... | 1,673 | 1,704 | 1,673 | CONTRIBUTOR | null | # What does this PR do?
The PR updates the `WandbCallback` with the following changes:
- Adds `on_save` method to upload model checkpoints as artifacts.
- Changes the default value of environment variable `WANDB_WATCH` from `gradients` to `false`. This enables quicker training when defaults are used. The user can ... | {
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https://api.github.com/repos/huggingface/transformers/issues/21034 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21034/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21034/comments | https://api.github.com/repos/huggingface/transformers/issues/21034/events | https://github.com/huggingface/transformers/issues/21034 | 1,522,687,474 | I_kwDOCUB6oc5awl3y | 21,034 | RAM Out-Of-Memory error with `run_mlm.py` when loading a 6Gb json dataset | {
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"Debugging seems to indicate that this OOM error happens when wrapping the model with DDP:\r\n\r\nhttps://github.com/huggingface/transformers/blob/48d4e147d824efab97637947709d5aa67c809b3d/src/transformers/trainer.py#L1446-L1451\r\n\r\nHowever, I don't really see why the data size would impact this line...",
"I fo... | 1,673 | 1,676 | 1,676 | NONE | null | ### System Info
- `transformers` version: 4.23.0.dev0
- Platform: Linux-4.18.0-305.65.1.el8_4.x86_64-x86_64-with-glibc2.28
- Python version: 3.9.13
- Huggingface_hub version: 0.9.1
- PyTorch version (GPU?): 1.12.1 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not install... | {
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https://api.github.com/repos/huggingface/transformers/issues/21033 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21033/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21033/comments | https://api.github.com/repos/huggingface/transformers/issues/21033/events | https://github.com/huggingface/transformers/issues/21033 | 1,522,056,394 | I_kwDOCUB6oc5auLzK | 21,033 | BertTokenizer not release gpu memory after del | {
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"This code doesn't use any GPU memory as tokenizers don't even import `torch`.",
"@sgugger In my case, after run this code, gpu memory is fully occupied. Is your pytorch the gpu version correct?",
"This is because you import `TFBertModel` (I didn't catch it in your first code sample). This imports `tensorflow`... | 1,672 | 1,676 | 1,676 | NONE | null | ### System Info
transformers 4.20.1
tensorflow 2.9.1
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [X] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [X... | {
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https://api.github.com/repos/huggingface/transformers/issues/21032 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21032/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21032/comments | https://api.github.com/repos/huggingface/transformers/issues/21032/events | https://github.com/huggingface/transformers/pull/21032 | 1,521,806,169 | PR_kwDOCUB6oc5Gxw6N | 21,032 | fix parameter name in docstring | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,672 | 1,673 | 1,673 | CONTRIBUTOR | null | # What does this PR do?
fixes parameter name `return_tensor -> return_tensors` in docstring.
Fixes potential confusion.
I believe this is my biggest contribution yet 🤣
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you ... | {
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https://api.github.com/repos/huggingface/transformers/issues/21031 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21031/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21031/comments | https://api.github.com/repos/huggingface/transformers/issues/21031/events | https://github.com/huggingface/transformers/issues/21031 | 1,521,623,124 | I_kwDOCUB6oc5asiBU | 21,031 | [make repo-consistency] weird warning | {
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"super, thank you for fixing, Sylvain!"
] | 1,672 | 1,673 | 1,673 | CONTRIBUTOR | null | This doesn't make sense:
```
You are using torch==1.13.0, but torch>=1.9.0 is required to use MCTCTModel. Please upgrade torch.
```
since: `1.13 > 1.9` - a wrong comparison function?
full output:
```
$ make repo-consistency
python utils/check_copies.py
python utils/check_table.py
python utils/check_dum... | {
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https://api.github.com/repos/huggingface/transformers/issues/21030 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21030/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21030/comments | https://api.github.com/repos/huggingface/transformers/issues/21030/events | https://github.com/huggingface/transformers/pull/21030 | 1,521,582,984 | PR_kwDOCUB6oc5GxCeb | 21,030 | [bnb optim] fixing test | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"The new test now passes on CI runners! I will review the change and thank you @stas00 ❤️ !"
] | 1,672 | 1,673 | 1,673 | CONTRIBUTOR | null | **Note to reviewers: we are dealing with a slow test, so a green CI doesn't tell anything.**
This work is a continuation of https://github.com/huggingface/transformers/pull/21019 where this test failure was first reported by @ydshieh
This PR:
- extends/improves the `run_trainer` wrapper which simplifies the b... | {
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https://api.github.com/repos/huggingface/transformers/issues/21029 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21029/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21029/comments | https://api.github.com/repos/huggingface/transformers/issues/21029/events | https://github.com/huggingface/transformers/issues/21029 | 1,521,535,504 | I_kwDOCUB6oc5asMoQ | 21,029 | Fix CLIP pooling for textual inversion so that eos tokens are taken | {
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"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md) a... | 1,672 | 1,676 | 1,676 | NONE | null | ### Feature request
For textual inversion in diffusers, we are adding tokens that have a higher token id than the eos token. So when we get clip embeddings for textual inv tokens, we need to change the pooling so it gets the eos token and not the arg max token.
### Motivation
This is an issue that should be fixe... | {
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https://api.github.com/repos/huggingface/transformers/issues/21028 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21028/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21028/comments | https://api.github.com/repos/huggingface/transformers/issues/21028/events | https://github.com/huggingface/transformers/pull/21028 | 1,521,528,879 | PR_kwDOCUB6oc5Gw2xl | 21,028 | Refactor script to reduce complexity | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_21028). All of your documentation changes will be reflected on that endpoint.",
"Thanks for your PR. We prefer the current style for examples as in general users have indicated they prefer to:\r\n- not have to look for inte... | 1,672 | 1,676 | 1,676 | CONTRIBUTOR | null | # What does this PR do?
This PR refactors some functions of the script `run_bart_dlm_flax.py`.
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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 reflec... | {
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https://api.github.com/repos/huggingface/transformers/issues/21027 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21027/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21027/comments | https://api.github.com/repos/huggingface/transformers/issues/21027/events | https://github.com/huggingface/transformers/pull/21027 | 1,521,450,209 | PR_kwDOCUB6oc5GwlgQ | 21,027 | [issues template] update deepspeed owners | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"That's an excellent idea, Sylvain. Added.",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_21027). All of your documentation changes will be reflected on that endpoint."
] | 1,672 | 1,674 | 1,674 | CONTRIBUTOR | null | add the right contact for deepspeed@accelerate
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https://api.github.com/repos/huggingface/transformers/issues/21026 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21026/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21026/comments | https://api.github.com/repos/huggingface/transformers/issues/21026/events | https://github.com/huggingface/transformers/pull/21026 | 1,521,444,117 | PR_kwDOCUB6oc5GwkNe | 21,026 | Fix arguments passed to predict function in QA Seq2seq training script | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,672 | 1,673 | 1,673 | CONTRIBUTOR | null | # What does this PR do?
I used the script for training Seq2seq QA and realized that `--do_predict` contains a bug - kwarg `outputs` should be an instance of class `EvalLoopOutput`, but NumPy array is passed instead. Together with extracting predictions in the body of the method `post_processing_function` (line 610 ... | {
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https://api.github.com/repos/huggingface/transformers/issues/21025 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21025/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21025/comments | https://api.github.com/repos/huggingface/transformers/issues/21025/events | https://github.com/huggingface/transformers/issues/21025 | 1,521,372,873 | I_kwDOCUB6oc5ark7J | 21,025 | Import error because no actual libraries, as far as I can tell. | {
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"I'm not sure where you are looking but `huggingface_hub` init does have a `CommitOperationAdd` object [here](https://github.com/huggingface/huggingface_hub/blob/ccdfd33ede1500b364d3561ccd6d4b2cc76fe9b2/src/huggingface_hub/__init__.py#L106) and it's been there since 0.10.0 which is the minimal version of huggingfac... | 1,672 | 1,676 | 1,676 | NONE | null | ### System Info
Copy-and-paste the text below in your GitHub issue.
... | {
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https://api.github.com/repos/huggingface/transformers/issues/21024 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21024/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21024/comments | https://api.github.com/repos/huggingface/transformers/issues/21024/events | https://github.com/huggingface/transformers/issues/21024 | 1,521,224,550 | I_kwDOCUB6oc5arAtm | 21,024 | transformers/examples/tensorflow/tokenclassification: Error at prepare_tf_dataset() using demo code with default parameters. | {
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"When I attempt to run demo I get following error:\r\n\r\nTraceback (most recent call last):\r\n File \"D:\\transformer\\foo\\lib\\site-packages\\transformers\\tokenization_utils_base.py\", line 717, in convert_to_tensors\r\n tensor = as_tensor(value)\r\nValueError: setting an array element with a sequence. The... | 1,672 | 1,677 | 1,677 | NONE | null | ### System Info
- `transformers` version: 4.26.0.dev0
- Platform: Windows-10-10.0.19044-SP0
- Python version: 3.9.13
- Huggingface_hub version: 0.11.1
- PyTorch version (GPU?): not installed (NA)
- Tensorflow version (GPU?): 2.11.0 (False)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not i... | {
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https://api.github.com/repos/huggingface/transformers/issues/21023 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21023/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21023/comments | https://api.github.com/repos/huggingface/transformers/issues/21023/events | https://github.com/huggingface/transformers/pull/21023 | 1,521,159,647 | PR_kwDOCUB6oc5GvlP- | 21,023 | Fix bigbird random attention | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Hi @sanchit-gandhi! Thank you very much for this detailed review. It is really helpful since this is my first time working with JAX :). I will apply the changes during the weekend. Have a great day!",
"Awesome, very glad to hear th... | 1,672 | 1,682 | 1,682 | CONTRIBUTOR | null | # What does this PR do?
Fixes the bug mentioned in the [issue](https://github.com/huggingface/transformers/issues/17355) by transiting from `np.random` to the `jax.random`. It also adds several minor changes to be able to run the new code and pass the all the tests
<!-- Remove if not applicable -->
Fixes # (i... | {
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https://api.github.com/repos/huggingface/transformers/issues/21022 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21022/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21022/comments | https://api.github.com/repos/huggingface/transformers/issues/21022/events | https://github.com/huggingface/transformers/pull/21022 | 1,520,826,975 | PR_kwDOCUB6oc5GucYE | 21,022 | [NumPy] Remove references to deprecated NumPy type aliases | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@sgugger I heard you might be the right person to review this. Please let me know if you have any questions 🤗 "
] | 1,672 | 1,673 | 1,672 | CONTRIBUTOR | null | This change replaces references to a number of deprecated NumPy type aliases (np.bool, np.int, np.float, np.complex, np.object, np.str) with their recommended replacement (bool, int, float, complex, object, str).
NumPy 1.24 drops the deprecated aliases, so we must remove uses before updating NumPy.
See huggingfac... | {
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https://api.github.com/repos/huggingface/transformers/issues/21021 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21021/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21021/comments | https://api.github.com/repos/huggingface/transformers/issues/21021/events | https://github.com/huggingface/transformers/pull/21021 | 1,520,799,249 | PR_kwDOCUB6oc5GuWMQ | 21,021 | `blip` support for training | {
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"Perfect, thanks for clarifying @sgugger ! ",
"_The documentation is not available anymore as the PR was closed or merged._",
"@younesbelkada @sgugger hi, thanks for contributing this code, but I found two possible bugs:\r\n\r\n1. the code shift `labels` to `decoder_input_id` ([here](https://github.com/huggingf... | 1,672 | 1,677 | 1,674 | CONTRIBUTOR | null | # What does this PR do?
Fixes: https://discuss.huggingface.co/t/finetune-blip-on-customer-dataset-20893/28446
Before this PR, it was not possible to fine-tune BLIP on a custom dataset due to various reasons, mainly because the code did not supported "on-the-fly" right shifting of `decoder_input_ids`.
This PR also... | {
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https://api.github.com/repos/huggingface/transformers/issues/21020 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21020/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21020/comments | https://api.github.com/repos/huggingface/transformers/issues/21020/events | https://github.com/huggingface/transformers/pull/21020 | 1,520,602,901 | PR_kwDOCUB6oc5GtqhV | 21,020 | Time series transformer: input projection and Std scaler | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@NielsRogge I have one more fix here... I can make `static_real_features` be optional",
"@NielsRogge i believe this can be merged so i can then start to add these changes to the informer model... what do you think?"
] | 1,672 | 1,677 | 1,677 | CONTRIBUTOR | null | # What does this PR do?
Add initial input projection layer and `d_model` hyperparam
Added a StdScaler for time series transformer as well as corresponding features.
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [ ] Did you read the... | {
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https://api.github.com/repos/huggingface/transformers/issues/21019 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21019/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21019/comments | https://api.github.com/repos/huggingface/transformers/issues/21019/events | https://github.com/huggingface/transformers/pull/21019 | 1,520,575,681 | PR_kwDOCUB6oc5Gtkcm | 21,019 | Fix `test_run_seq2seq_bnb` CI | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"cc @manuelciosici",
"hmm, I didn't write this test and don't know why these numbers were set, so perhaps it's easier to ask the one who wrote it?\r\n\r\nIf it's not possible please let me know I will be able to study it later, as I... | 1,672 | 1,675 | 1,673 | COLLABORATOR | null | # What does this PR do?
Fix `test_run_seq2seq_bnb` CI. See [failed job run](https://github.com/huggingface/transformers/actions/runs/3834635537/jobs/6527258225)
It seems the expected reduced GPU memory usage only happens when running the test on multi GPU env.
I simply add `require_torch_multi_gpu` without tryin... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,672 | 1,672 | 1,672 | MEMBER | null | # What does this PR do?
Same as in this PR https://github.com/huggingface/transformers/pull/20804, but for TF 🤦 | {
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https://api.github.com/repos/huggingface/transformers/issues/21017 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21017/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21017/comments | https://api.github.com/repos/huggingface/transformers/issues/21017/events | https://github.com/huggingface/transformers/issues/21017 | 1,520,527,501 | I_kwDOCUB6oc5aoWiN | 21,017 | The generation input shape and the output shape from the official scripts are completely different for the TFLite model | {
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"cc @gante and @Rocketknight1 ",
"@sgugger @gante @Rocketknight1 any update on the same ?\r\n\r\nI even tried the same with the collab below taking latest version of transformers tensorflow into consideration , I get the same issue as above. When we import the new model with different output shape onto the androi... | 1,672 | 1,673 | 1,673 | NONE | null | ### System Info
- `transformers` version: 2.3.0
- Platform: Linux-5.10.133+-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.7.15
- Huggingface_hub version: 0.11.1
- PyTorch version (GPU?): 1.12.1+cu113 (True)
- Tensorflow version (GPU?): 2.9.2 (True)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- J... | {
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https://api.github.com/repos/huggingface/transformers/issues/21016 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21016/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21016/comments | https://api.github.com/repos/huggingface/transformers/issues/21016/events | https://github.com/huggingface/transformers/issues/21016 | 1,520,412,878 | I_kwDOCUB6oc5an6jO | 21,016 | VideoMAE missing CLS tokens in embedding | {
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"Hi,\r\n\r\nVideoMAE doesn't use a CLS token, so this can be fixed in the docstring. The number of tokens sent through the Transformer equals (number of frames // tubelet_size) * (height // patch_size) * (width // patch_size).\r\n\r\nFor video classification, the authors average pool the final hidden states of the ... | 1,672 | 1,698 | 1,673 | NONE | null | ### System Info
I'm not sure if I've missed something in the code, but I can't seem to find where the CLS tokens are added? I have input data of shape (64,45,2,32,32) with tubelet size = 5, patch_size = 4. This results in a sequence length of 576. From my understanding that is the total number of tubelets. I see tha... | {
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https://api.github.com/repos/huggingface/transformers/issues/21015 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21015/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21015/comments | https://api.github.com/repos/huggingface/transformers/issues/21015/events | https://github.com/huggingface/transformers/issues/21015 | 1,520,191,220 | I_kwDOCUB6oc5anEb0 | 21,015 | Domain-specific word similarity from documents question-answer | {
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"Please use the [forums](https://discuss.huggingface.co/) to ask such questions as we keep issues for bugs and feature requests only.",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease ... | 1,672 | 1,676 | 1,676 | NONE | null | I am trying to create a chat boat-like application (inspired by chat GPT). The boat or you can say an application should be able to answer questions of a software/products respective Help document.
I have tried to finetune tilbert_base_uncased model from hugging face on less than 100 annotated Question-answer in th... | {
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https://api.github.com/repos/huggingface/transformers/issues/21014 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21014/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21014/comments | https://api.github.com/repos/huggingface/transformers/issues/21014/events | https://github.com/huggingface/transformers/pull/21014 | 1,519,839,666 | PR_kwDOCUB6oc5GrAZP | 21,014 | Update task summary part 1 | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"> It is called \"what Transformers can do\", so I think the introductions of each modality should just explain what each modality is and abstain from comparing models\r\n\r\nThanks for the feedback, this helped me refine the scope of... | 1,672 | 1,673 | 1,673 | MEMBER | null | This PR reworks the task summary to be more conceptual and provides more explanation about a topic to help users better understand it. It'll be focused more on understanding instead of practical steps. The update will be split into two parts:
1. Describe the tasks 🤗 Transformers is capable of solving (the focus of ... | {
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"Thanks a lot for flagging @ngimel !\r\n\r\ncc @ArthurZucker and @ydshieh \r\n",
"Could use of `torch.where` be the cause of these `torch.compile()` errors in `AutoModelForSeq2SeqLM` models?\r\n\r\n```text\r\n File \"/home/kastanday/utils/mambaforge3/envs/torch2.0/lib/python3.10/site-packages/transformers/models... | 1,672 | 1,677 | 1,677 | NONE | null | Masks are frequently created in `uint8` type, see e.g. here https://github.com/huggingface/transformers/blob/8fb4d0e4b46282d96386c229b9fb18bf7c80c25a/src/transformers/models/gpt_neox_japanese/modeling_gpt_neox_japanese.py#L186 or here https://github.com/huggingface/transformers/blame/52dd2b61bff8af5b6409fdd5ec92a9b3114... | {
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https://api.github.com/repos/huggingface/transformers/issues/21012 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21012/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21012/comments | https://api.github.com/repos/huggingface/transformers/issues/21012/events | https://github.com/huggingface/transformers/pull/21012 | 1,519,597,707 | PR_kwDOCUB6oc5GqKjv | 21,012 | Add document token classification pipeline (#1) | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_21012). All of your documentation changes will be reflected on that endpoint.",
"Hi @vaishak2future \r\n\r\nDid you know that layoutlm already implements `object-detection` : https://huggingface.co/Narsil/layoutlmv3-finetun... | 1,672 | 1,676 | 1,676 | NONE | null | # What does this PR do?
<!--
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Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution
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] | 1,672 | 1,672 | 1,672 | CONTRIBUTOR | null | [//]: # (dependabot-start)
⚠️ **Dependabot is rebasing this PR** ⚠️
Rebasing might not happen immediately, so don't worry if this takes some time.
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Bumps [gitpython](https://github.com/gitpyt... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_21010). All of your documentation changes will be reflected on that endpoint."
] | 1,672 | 1,672 | 1,672 | CONTRIBUTOR | null | Bumps [gitpython](https://github.com/gitpython-developers/GitPython) from 3.1.18 to 3.1.30.
<details>
<summary>Release notes</summary>
<p><em>Sourced from <a href="https://github.com/gitpython-developers/GitPython/releases">gitpython's releases</a>.</em></p>
<blockquote>
<h2>v3.1.30 - with important security fixes</h2>... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,672 | 1,684 | 1,672 | MEMBER | null | # What does this PR do?
Some bug fixing in advance of #21007 (PR that adds generation config to Flax), to ensure we start from a functional flax generate codebase.
In particular:
1. Flax now assumes the value `pad_token_id` when it is `None` and `eos_token_id` is not `None`, like TF and PT do. This is very help... | {
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] | 1,672 | 1,672 | 1,672 | COLLABORATOR | null | # What does this PR do?
Fixes #20884
This PR makes sure that models that use the code on the Hub feature can be saved and repushed while still including the necessary code files. as reported in #20884, this was not the case previously. The fix is simple enough and the tests have been extended to test this use ca... | {
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] | 1,672 | 1,672 | 1,672 | MEMBER | null | # What does this PR do?
Changes the FLAX side of `.generate()` such that it relies on the `GenerationConfig`. This is the FLAX equivalent of https://github.com/huggingface/transformers/pull/20388 | {
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"Reformatted as Markdown 👍"
] | 1,672 | 1,672 | 1,672 | MEMBER | null | Fixes #20965 where the parameters aren't properly formatted because it uses `Environment` instead of `Args` in the docstring. | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,672 | 1,684 | 1,672 | MEMBER | null | # What does this PR do?
Fixes the error that showed up here: https://github.com/huggingface/transformers/actions/runs/3834635537/jobs/6527258530
Related to #20727 | {
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https://api.github.com/repos/huggingface/transformers/issues/21002 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21002/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21002/comments | https://api.github.com/repos/huggingface/transformers/issues/21002/events | https://github.com/huggingface/transformers/pull/21002 | 1,519,341,551 | PR_kwDOCUB6oc5GpSmT | 21,002 | Fix (DeepSpeed) docker image build issue | {
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] | 1,672 | 1,672 | 1,672 | COLLABORATOR | null | # What does this PR do?
Currently, the docker image build job [Latest PyTorch + DeepSpeed](https://github.com/huggingface/transformers/actions/runs/3834393836/jobs/6526754769) from time to time. The issue occurs after #20788 where `apex` is recompiled during the build. It seems a resource issue (most likely the memo... | {
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"@m-ali-awan , I believe they are already implemented in transformers, \r\n1. `from transformers import AutoModelForMaskedLM` for Masked Language Modelling(like your example) and \r\n2. `from transformers import AutoModelForCausalLM` for GPT like models. ",
"> @m-ali-awan , I believe they are already implemented ... | 1,672 | 1,676 | 1,676 | NONE | null | ### Feature request
I want to do zero-shot text classification for automotive parts, an candidate labels are around 3200. Now this needs to be done on basis of the Description.
Using pretrained Zero-Shot models like Bart-mnli etc, are not giving me good results, as they are not having much context knowledge. It would... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,672 | 1,673 | 1,673 | COLLABORATOR | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/20999 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20999/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20999/comments | https://api.github.com/repos/huggingface/transformers/issues/20999/events | https://github.com/huggingface/transformers/pull/20999 | 1,519,232,735 | PR_kwDOCUB6oc5Go7wC | 20,999 | Refactor the function get_results | {
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] | 1,672 | 1,672 | 1,672 | CONTRIBUTOR | null | # What does this PR do?
A small refactor for the function `get_results`.
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING... | {
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"Please use the [forums](https://discuss.huggingface.co/) for such questions as we keep issues for bugs and feature requests only.",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease not... | 1,672 | 1,676 | 1,676 | NONE | null | When we run run_qa.py on bert-base using squad data and once again fine tune it on custom data, will it retrain all the layers? or will it train only the last layer(head) freezing the other layers ? please explain the kind of finetuning done with run_qa.py | {
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https://api.github.com/repos/huggingface/transformers/issues/20996 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20996/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20996/comments | https://api.github.com/repos/huggingface/transformers/issues/20996/events | https://github.com/huggingface/transformers/issues/20996 | 1,519,099,692 | I_kwDOCUB6oc5ai58s | 20,996 | Command needed to finetune bert on squad using TPU | {
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"Please use the [forums](https://discuss.huggingface.co/) for such questions as we keep issues for bugs and feature requests only.",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease not... | 1,672 | 1,676 | 1,676 | NONE | null | Please provide the command to execute run_qa.py on TPU to finetune bert models. | {
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https://api.github.com/repos/huggingface/transformers/issues/20995 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20995/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20995/comments | https://api.github.com/repos/huggingface/transformers/issues/20995/events | https://github.com/huggingface/transformers/pull/20995 | 1,518,851,371 | PR_kwDOCUB6oc5GnoCm | 20,995 | [CLIPSeg] Fix integration test | {
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"Yes, it uses `ViTImageProcessor` with different settings."
] | 1,672 | 1,672 | 1,672 | CONTRIBUTOR | null | # What does this PR do?
A user reported at https://github.com/timojl/clipseg/issues/18 that CLIPSeg uses the ImageNet mean + std instead of the [-1, 1] range for normalization. This PR updates the integration test as repos on the hub were fixed. | {
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] | 1,672 | 1,672 | 1,672 | MEMBER | null | # What does this PR do?
Changes the TF side of `.generate()` such that it relies on the `GenerationConfig`. This is the TF equivalent of https://github.com/huggingface/transformers/pull/20388 | {
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https://api.github.com/repos/huggingface/transformers/issues/20993 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20993/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20993/comments | https://api.github.com/repos/huggingface/transformers/issues/20993/events | https://github.com/huggingface/transformers/pull/20993 | 1,518,819,251 | PR_kwDOCUB6oc5Gng3F | 20,993 | Remove cuda dependency from Deformable-DETR | {
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] | 1,672 | 1,672 | 1,672 | CONTRIBUTOR | null | # What does this PR do?
Removes the CUDA dependency from Deformable DETR, [OneFormer](https://github.com/huggingface/transformers/pull/20577) and [Mask2Former](https://github.com/huggingface/transformers/pull/20792) PRs also use the same multi-scale deformable attention function and eliminate the CUDA dependency.
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] | 1,672 | 1,673 | 1,673 | COLLABORATOR | null | # What does this PR do?
Let's wait until #20757 is merged to merge this.
The checkpoints for `RobertaPreLayerNormForMaskedLM`, `RobertaPreLayerNormForQuestionAnswering`, `RobertaPreLayerNormForTokenClassification`, where not provided thus the expected values are random and should not be tested. | {
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https://api.github.com/repos/huggingface/transformers/issues/20991 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20991/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20991/comments | https://api.github.com/repos/huggingface/transformers/issues/20991/events | https://github.com/huggingface/transformers/issues/20991 | 1,518,264,660 | I_kwDOCUB6oc5afuFU | 20,991 | Support Transformer Engine and FP8 training | {
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"There is work ongoing to add support to it in [Accelerate](https://github.com/huggingface/accelerate/tree/fp8_integration) first. Once this is tested and merged, we will also port it to the `Trainer`. For now we are hit by a regression problem we are trying to fix with the team at Nvidia.",
"This issue has been ... | 1,672 | 1,687 | 1,675 | NONE | null | ### Feature request
NVIDIA has proposed the FP8 tensor core along with a [Transformer Engine](https://github.com/NVIDIA/TransformerEngine) library that implements the corresponding kernels and mix precision strategies (i.e. the delay scaling strategy). I wonder if we have plan on supporting transformer engine here? ... | {
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"I don't know how you want us to help without a way to reproduce the error. It looks like you're not running inference within a `torch.no_grad()` context manager, which will consume memories of activations saved for the backward pass, which might be the issue.\r\n\r\nAlso cc @alaradirik ",
"Thank you for your qui... | 1,672 | 1,672 | 1,672 | NONE | null | ### System Info
Hi, hope this is the correct way to address my issue.
When running a model to identify objects in images, memory uses keeps rising until my system can't handle any more which usually happens after +- 15 images. I think I narrowed it down to the
```python
outputs = model(**inputs)
```
variable d... | {
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https://api.github.com/repos/huggingface/transformers/issues/20989 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20989/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20989/comments | https://api.github.com/repos/huggingface/transformers/issues/20989/events | https://github.com/huggingface/transformers/pull/20989 | 1,517,736,314 | PR_kwDOCUB6oc5Gjxwj | 20,989 | Fix race condition on cleaning checkpoints when save_total_limit set to 1 | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"It's you to thank @sgugger for you quick review. I've just fixed the style and pushed."
] | 1,672 | 1,672 | 1,672 | CONTRIBUTOR | null | # What does this PR do?
This PR fixes #20988 by testing whether the worker process is allowed to save (`self.args.should_save` is set to True).
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When running training on multi-node setup with a shared filesystem (shared PVC on Kubernetes). W use the following configuration (Full example on Reproduction section) :
```python
load_best_model_at_end=True,
save_on_each_node=False,
save_total_limit=1,
```
When the trai... | {
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https://api.github.com/repos/huggingface/transformers/issues/20987 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20987/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20987/comments | https://api.github.com/repos/huggingface/transformers/issues/20987/events | https://github.com/huggingface/transformers/issues/20987 | 1,517,589,772 | I_kwDOCUB6oc5adJUM | 20,987 | Hugging Face Dies Silently when Memory insufficient for loading Model / Training Model | {
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"If you have insufficient GPU memory, you will get the PyTorch error. For RAM issues, I don't think there is anything that exists to issue the same errors.",
"I was running on CPU. I know I've gotten the pytorch errors on GPU. If nothing exists that's alright. Just thought it would be nice to get an error messag... | 1,672 | 1,672 | 1,672 | NONE | null | Currently, when you load a model into memory that is too large or if you try to train a model with insufficient memory. The process gets killed without an error message. It's a bit tough to track down what is going on as a result. I'm wondering if you can add an error message similar to pytorch when you have insufficie... | {
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https://api.github.com/repos/huggingface/transformers/issues/20986 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20986/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20986/comments | https://api.github.com/repos/huggingface/transformers/issues/20986/events | https://github.com/huggingface/transformers/pull/20986 | 1,517,587,084 | PR_kwDOCUB6oc5GjRh8 | 20,986 | Fix for LXMERT | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,672 | 1,672 | 1,672 | COLLABORATOR | null | # What does this PR do?
While continuing to remove unused attributes in config classes, it seems `LxmertConfig.visual_feat_loss` is not used by mistake. | {
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