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https://api.github.com/repos/huggingface/transformers/issues/23642 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/23642/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/23642/comments | https://api.github.com/repos/huggingface/transformers/issues/23642/events | https://github.com/huggingface/transformers/issues/23642 | 1,718,756,794 | I_kwDOCUB6oc5mciW6 | 23,642 | Prediction code snippet for graphormer on graph classification tasks. | {
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"Hi, could you share the logs that you got at step 3?",
"> Hi, could you share the logs that you got at step 3?\r\n\r\n\r\nNow I'm able to write out prediction code independently.\r\n\r\nCode Snippet :\r\n\r\n# For validation, Kindly opt only one data alone from the dataset.\r\nval_ds1 = val_ds.select(list(rang... | 1,684 | 1,684 | 1,684 | NONE | null | ### System Info
Kindly share the code snippet of prediction for graphormer model.
### Who can help?
cc @clefourrier
### Information
- [ ] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ... | {
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https://api.github.com/repos/huggingface/transformers/issues/23641 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/23641/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/23641/comments | https://api.github.com/repos/huggingface/transformers/issues/23641/events | https://github.com/huggingface/transformers/pull/23641 | 1,718,720,587 | PR_kwDOCUB6oc5Q913N | 23,641 | fix: TextIteratorStreamer cannot work with pipeline | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@sgugger , pls help review, thx.",
"@sywangyi ",
"@gante Please help to review.",
"I ran into the same issue and also had another issue about a week ago (which I don't remember now) that was also related to the deepcopy operati... | 1,684 | 1,686 | 1,686 | CONTRIBUTOR | null | Deepcopying the TextIteratorStreamer object causes the exception.
# What does this PR do?
Fixes #23552
## 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/tra... | {
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https://api.github.com/repos/huggingface/transformers/issues/23640 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/23640/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/23640/comments | https://api.github.com/repos/huggingface/transformers/issues/23640/events | https://github.com/huggingface/transformers/issues/23640 | 1,718,694,278 | I_kwDOCUB6oc5mcTGG | 23,640 | Use python generator instead of streamer for generation | {
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"cc @gante ",
"This has been mentioned in PR: [2249](https://github.com/huggingface/transformers/pull/22449)\r\nWe need this feature, @gante @oobabooga, can you provide a short script how to try this out when calling `model.generate`, like this function work as a python generator object.",
"@JamesDConley I foun... | 1,684 | 1,688 | null | NONE | null | ### Feature request
Add an option for receiving tokens (or similar) as they are generated via a [python generator](https://wiki.python.org/moin/Generators) as an alternative to needing a streamer object.
### Motivation
There is a new feature [streamers](https://huggingface.co/docs/transformers/generation_strategies#... | {
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https://api.github.com/repos/huggingface/transformers/issues/23639 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/23639/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/23639/comments | https://api.github.com/repos/huggingface/transformers/issues/23639/events | https://github.com/huggingface/transformers/issues/23639 | 1,718,599,217 | I_kwDOCUB6oc5mb74x | 23,639 | How to generate one token after the other when no past_key_values is returned? | {
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"This is an encoder model, so you can't use it as a decoder model for generation like this.",
"Hi @sgugger, many thanks for getting back to me. \r\n\r\nSo is there no possibility to use that model for generative purposes?\r\n\r\nAlso, could we have some slight influence on the selection of each individual token?"... | 1,684 | 1,689 | 1,689 | NONE | null | ### System Info
Python: 3.11
transformers==4.29.2
torch==2.0.1
### Who can help?
@ArthurZucker @younesbelkada @gante @sgugger
### Information
- [ ] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQu... | {
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https://api.github.com/repos/huggingface/transformers/issues/23638 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/23638/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/23638/comments | https://api.github.com/repos/huggingface/transformers/issues/23638/events | https://github.com/huggingface/transformers/pull/23638 | 1,718,566,500 | PR_kwDOCUB6oc5Q9YNB | 23,638 | Image column name missing for CLIP | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_23638). All of your documentation changes will be reflected on that endpoint.",
"Hi @TJKlein, thanks for opening this PR. \r\n\r\nCould you provide a bit more information about the issue this is resolving? There isn't a `tr... | 1,684 | 1,688 | 1,688 | NONE | null | # What does this PR do?
The patch makes sure that the image features do not get removed. Otherwise **transform_images(examples)** will have a **KeyError** for the image_column when trying to transform the image.
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https://api.github.com/repos/huggingface/transformers/issues/23637 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/23637/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/23637/comments | https://api.github.com/repos/huggingface/transformers/issues/23637/events | https://github.com/huggingface/transformers/pull/23637 | 1,718,528,945 | PR_kwDOCUB6oc5Q9Q4e | 23,637 | Fix typo in a parameter name for open llama model | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Hi @aaalexlit, thanks for opening this PR! \r\n\r\nAs the model was part of the most recent release, we'll need to ensure that these changes are backwards compatible with the previous configurations. What I would suggest is popping t... | 1,684 | 1,684 | 1,684 | CONTRIBUTOR | null | # What does this PR do?
Renames a parameter `use_memorry_efficient_attention` to `use_memory_efficient_attention`
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https://api.github.com/repos/huggingface/transformers/issues/23630 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/23630/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/23630/comments | https://api.github.com/repos/huggingface/transformers/issues/23630/events | https://github.com/huggingface/transformers/issues/23630 | 1,718,498,828 | I_kwDOCUB6oc5mbjYM | 23,630 | causalLM Text generation with OPT models give weird results | {
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"cc @younesbelkada @gante ",
"hi @SteffenBauer \r\nthanks for the issue!\r\nI just checked on our daily CI tests that also checks the generations on OPT and there seem to be no issue on our side. What I can see is that you are using a version of torch that sounds a bit exotic `2.0.0a0+fe05266f.nv23.4`\r\nDoes thi... | 1,684 | 1,686 | 1,685 | NONE | null | ### System Info
* Platform: NVIDIA Jetson Orin 32GB development kit
* CPU `ARMv8 Processor rev 1 (v8l)`
* Linux `5.10.104-tegra #1 SMP PREEMPT Sun Mar 19 07:55:28 PDT 2023 aarch64 aarch64 aarch64 GNU/Linux`
* Python 3.8.10
* transformers 4.29.2
* torch `2.0.0a0+fe05266f.nv23.4` (compiled package for Jetson platfo... | {
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https://api.github.com/repos/huggingface/transformers/issues/23625 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/23625/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/23625/comments | https://api.github.com/repos/huggingface/transformers/issues/23625/events | https://github.com/huggingface/transformers/pull/23625 | 1,718,429,213 | PR_kwDOCUB6oc5Q89Oe | 23,625 | [wip: testing doc-builder] | {
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"@mishig25 Should be fixed by [this](https://github.com/huggingface/doc-builder/pull/373/commits/4895cfbf332994c5c5d73e83f990fe017184ecc5)",
"Rerunning the doc-build https://github.com/huggingface/transformers/actions/runs/5036878423 ",
"Re running the doc-build: https://github.com/huggingface/transformers/acti... | 1,684 | 1,685 | 1,685 | CONTRIBUTOR | null | testing https://github.com/huggingface/doc-builder/pull/373 | {
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https://api.github.com/repos/huggingface/transformers/issues/23621 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/23621/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/23621/comments | https://api.github.com/repos/huggingface/transformers/issues/23621/events | https://github.com/huggingface/transformers/pull/23621 | 1,718,377,360 | PR_kwDOCUB6oc5Q8zUv | 23,621 | 🌐 [i18n-KO] Translated `tasks/monocular_depth_estimation.mdx` to Korean | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,684 | 1,684 | 1,684 | CONTRIBUTOR | null | <!-- PR의 제목은 "🌐 [i18n-KO] Translated `<your_file>.mdx` to Korean" 으로 부탁드립니다 -->
# What does this PR do?
Translated the `tasks/monocular_depth_estimation.mdx` file of the documentation to Korean.
Thank you in advance for your review.
Part of https://github.com/huggingface/transformers/issues/20179
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https://api.github.com/repos/huggingface/transformers/issues/23593 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/23593/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/23593/comments | https://api.github.com/repos/huggingface/transformers/issues/23593/events | https://github.com/huggingface/transformers/issues/23593 | 1,718,341,283 | I_kwDOCUB6oc5ma86j | 23,593 | `run_mlm.py` doesn't log perplexity to `wandb` | {
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"Hi @david-waterworth, thanks for raising this issue. \r\n\r\nThere's isn't an `eval_` prefix in front if the perplexity metric because it's not part of the key [when added to the metrics dictionary](https://github.com/huggingface/transformers/blob/2faa09530bc5d29756bddfec12037c066cc85a02/examples/pytorch/language-... | 1,684 | 1,688 | 1,688 | NONE | null | ### System Info
When I run `run_mlm.py` all of the metrics which are created with names such as `train_loss` or `eval_loss` are logged to `wandb` reformatted as `train/loss` or `eval/loss`. However the eval perplexity is simply logged as `perplexity` and is not included in the wandb metrics
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https://api.github.com/repos/huggingface/transformers/issues/23552 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/23552/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/23552/comments | https://api.github.com/repos/huggingface/transformers/issues/23552/events | https://github.com/huggingface/transformers/issues/23552 | 1,718,308,941 | I_kwDOCUB6oc5ma1BN | 23,552 | TextIteratorStreamer cannot be used with TextGenerationPipeline | {
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"I encountered the same problem, I submitted a PR for it.\r\n\r\n",
"I am having the same issue and hope that it will be resolved soon. Thanks!",
"@gante comes back wednesday.\r\n\r\nI kind of agree a shallow copy should be enough and not a deepcopy, but since the code was deliberate there might be reasons for ... | 1,684 | 1,686 | 1,686 | NONE | null | ### System Info
- `transformers` version: 4.29.2
- Platform: Linux-5.19.0-41-generic-x86_64-with-glibc2.35
- Python version: 3.8.13
- Huggingface_hub version: 0.14.1
- Safetensors version: not installed
- PyTorch version (GPU?): 2.0.0+cu117 (True)
- Tensorflow version (GPU?): 2.12.0 (True)
- Flax version (CPU... | {
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https://api.github.com/repos/huggingface/transformers/issues/23541 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/23541/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/23541/comments | https://api.github.com/repos/huggingface/transformers/issues/23541/events | https://github.com/huggingface/transformers/pull/23541 | 1,718,250,493 | PR_kwDOCUB6oc5Q8bdB | 23,541 | Add type hints for PyTorch BERT. | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_23541). All of your documentation changes will be reflected on that endpoint.",
"Looks good! The last thing you'll need to do is `pip install transformers[quality]` followed by `make style` in the `transformers` directory. ... | 1,684 | 1,691 | 1,691 | NONE | null | # What does this PR do?
Add type hints for PyTorch BERT.
Fixes #16059 for PyTorch BERT
## 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/... | {
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https://api.github.com/repos/huggingface/transformers/issues/23538 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/23538/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/23538/comments | https://api.github.com/repos/huggingface/transformers/issues/23538/events | https://github.com/huggingface/transformers/pull/23538 | 1,718,227,010 | PR_kwDOCUB6oc5Q8XBm | 23,538 | Fix tensor device while attention_mask is not None | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,684 | 1,684 | 1,684 | CONTRIBUTOR | null | # What does this PR do?
The PR while fix the tensor device while attention_mask is not None, the tensor like `torch.tensor(torch.finfo(attn_weights.dtype).min)`.
1. I don't use the `os.environ[“CUDA_VISIBLE_DEVICES”]` because i want to load other models in the same script.
2. Use torch.cuda.set_device(6) while o... | {
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https://api.github.com/repos/huggingface/transformers/issues/23535 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/23535/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/23535/comments | https://api.github.com/repos/huggingface/transformers/issues/23535/events | https://github.com/huggingface/transformers/pull/23535 | 1,718,223,200 | PR_kwDOCUB6oc5Q8WUC | 23,535 | Bugfix: LLaMA layer norm incorrectly changes input type and consumers lots of memory | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"> but for all remaining its `float32` this increases the overall memory-footprint of finetuning considerably.\r\n\r\n...how bad was this? like 30% worse?",
"Please merge ^_^",
"I am assuming this does not impact 8bit training as ... | 1,684 | 1,684 | 1,684 | CONTRIBUTOR | null | # What does this PR do?
It is a common setup to run LLaMA in `bfloat16` or `float16` while the `RMSNorm` layers are in `float32`. The current implementation converts an input into `float32` but never converts it back to the original input type. This means in the first layer the input type if `bfloat16` but for all r... | {
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https://api.github.com/repos/huggingface/transformers/issues/23534 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/23534/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/23534/comments | https://api.github.com/repos/huggingface/transformers/issues/23534/events | https://github.com/huggingface/transformers/pull/23534 | 1,718,222,919 | PR_kwDOCUB6oc5Q8WQ7 | 23,534 | Fix tensor device while attention_mask is not None | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_23534). All of your documentation changes will be reflected on that endpoint."
] | 1,684 | 1,684 | 1,684 | CONTRIBUTOR | null | # What does this PR do?
The PR while fix the tensor device while attention_mask is not None, the tensor like `torch.tensor(torch.finfo(attn_weights.dtype).min)`.
1. I don't use the `os.environ[“CUDA_VISIBLE_DEVICES”]` because i want to load other models in the same script.
2. Use `torch.cuda.set_device(6)` while... | {
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https://api.github.com/repos/huggingface/transformers/issues/23530 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/23530/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/23530/comments | https://api.github.com/repos/huggingface/transformers/issues/23530/events | https://github.com/huggingface/transformers/issues/23530 | 1,718,194,319 | I_kwDOCUB6oc5maZCP | 23,530 | Incorrect handling of EOS tokens in DataCollatorForLanguageModeling when pad_token is set to eos_token | {
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"You can do the change on your local fork for your example (or you could use a different token ID for the EOS and padding), but this is the right behavior in `DataCollatorForLanguageModeling`: labels corresponding to the pad token ID should be ignored in the loss computation and are thus set to -100.",
"Makes sen... | 1,684 | 1,689 | 1,689 | NONE | null | ### System Info
Doesn't seem to be version specific, but:
- `transformers` version: 4.29.2
- Platform: Linux-5.15.107+-x86_64-with-glibc2.31
- Python version: 3.10.11
- Huggingface_hub version: 0.14.1
- Safetensors version: not installed
- PyTorch version (GPU?): 2.0.1+cu118 (False)
- Tensorflow version (GPU?):... | {
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https://api.github.com/repos/huggingface/transformers/issues/23525 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/23525/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/23525/comments | https://api.github.com/repos/huggingface/transformers/issues/23525/events | https://github.com/huggingface/transformers/issues/23525 | 1,718,178,287 | I_kwDOCUB6oc5maVHv | 23,525 | In MlflowCallback, Can not reattach to an existing | {
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"Hi @ykihong0, thanks for reporting this issue. \r\n\r\nThe integrations are community added and maintained by their authors - Pinging @orieg who I believe added the env var logic in #17130 :)",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still need... | 1,684 | 1,687 | 1,687 | NONE | null | # In Documentation
[Doc](https://huggingface.co/docs/transformers/main_classes/callback#transformers.integrations.MLflowCallback) said we can reattach to an existing run by set **MLFLOW_RUN_ID** environment variable.
# In Code
But [Code](https://github.com/huggingface/transformers/blob/118e9810687dd713b6be07af79e8... | {
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https://api.github.com/repos/huggingface/transformers/issues/23516 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/23516/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/23516/comments | https://api.github.com/repos/huggingface/transformers/issues/23516/events | https://github.com/huggingface/transformers/issues/23516 | 1,718,171,308 | I_kwDOCUB6oc5maTas | 23,516 | KeyphraseExtractionPipeline - Postprocessor - TypeError: postprocess() got an unexpected keyword argument 'all_outputs' | {
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"Hello @eboraks,\r\n\r\nSince the release of Hugging Face 4.28.0, the `postprocess()` method has changed to handle unlimited length of text. Therefore, `all_outputs` can only be used if `transformers>=4.28.0`. I recommend updating transformers since you are using `transformers==4.20.1`.\r\n\r\nIf you can't upgrade ... | 1,684 | 1,684 | 1,684 | NONE | null | ### System Info
transformers version: 4.20.1
Platform: (GNU/Linux 5.15.90.1-microsoft-standard-WSL2 x86_64
Python version: 3.9.16
PyTorch version (GPU?): 2.0.0+cu118
Tensorflow version (GPU?): not installed (NA)
Flax version (CPU?/GPU?/TPU?): not installed (NA)
Jax version: not installed
JaxLib version: not ins... | {
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https://api.github.com/repos/huggingface/transformers/issues/23485 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/23485/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/23485/comments | https://api.github.com/repos/huggingface/transformers/issues/23485/events | https://github.com/huggingface/transformers/pull/23485 | 1,718,048,980 | PR_kwDOCUB6oc5Q71dK | 23,485 | Fix `tests/repo_utils/test_get_test_info.py` | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_23485). All of your documentation changes will be reflected on that endpoint.",
"Thanks so much for taking care of this @ydshieh 🔥 !"
] | 1,684 | 1,684 | 1,684 | COLLABORATOR | null | # What does this PR do?
3 tests break on `main` after #23153 (see [here](https://app.circleci.com/pipelines/github/huggingface/transformers/64922/workflows/d53f3351-a1d1-4df5-9c8b-28c45fff4f09/jobs/805142)), but can't blame @younesbelkada as the tests are not triggered on PR CI, neither after being merged. But on ni... | {
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https://api.github.com/repos/huggingface/transformers/issues/23484 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/23484/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/23484/comments | https://api.github.com/repos/huggingface/transformers/issues/23484/events | https://github.com/huggingface/transformers/pull/23484 | 1,717,978,759 | PR_kwDOCUB6oc5Q7mRb | 23,484 | Add LlamaIndex to awesome-transformers.md | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Interestingly, you have `transformers` as an optional dependency when the Python version is above 3.9. It seems to be used quite a bit for tokenizing/streaming/image captioning etc. \r\n\r\nIf you'd rather not have it as a main depen... | 1,684 | 1,685 | 1,685 | CONTRIBUTOR | null | # What does this PR do?
This PR adds `LlamaIndex` to `awesome-transformers.md`. `LlamaIndex` is a project that provides a central interface to connect your LLM's with external data.
## Who can review?
Anyone in the community is free to review the PR once the tests have passed. Feel free to tag
members/contrib... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,684 | 1,684 | 1,684 | CONTRIBUTOR | null | requirements.txt is changed, because the versions would have produced errors. more info on the issue below.
Fixes https://github.com/huggingface/transformers/issues/23418
## 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 r... | {
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"Hi @com3dian, thanks for raising this issue. \r\n\r\nThe reason the values are different is because the vocab size in the respective model configurations is different: \r\n* [50265 for `facebook/bart-large`](https://huggingface.co/facebook/bart-large/blob/cb48c1365bd826bd521f650dc2e0940aee54720c/config.json#L71)\r... | 1,684 | 1,684 | 1,684 | NONE | null | ### System Info
- `transformers` version: 4.26.1
- Platform: Linux-5.15.0-71-generic-x86_64-with-glibc2.31
- Python version: 3.9.12
- Huggingface_hub version: 0.12.1
- PyTorch version (GPU?): 1.13.0+cu117 (False)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
... | {
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https://api.github.com/repos/huggingface/transformers/issues/23481 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/23481/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/23481/comments | https://api.github.com/repos/huggingface/transformers/issues/23481/events | https://github.com/huggingface/transformers/pull/23481 | 1,717,764,940 | PR_kwDOCUB6oc5Q643s | 23,481 | add use_orig_params to fsdp with torch compile | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_23481). All of your documentation changes will be reflected on that endpoint.",
"Hello, as the Accelerate now Powers Trainer, please use the accelerate launcher with Trainer for FSDP. That provides support for `use_orig_par... | 1,684 | 1,686 | 1,686 | NONE | null | # What does this PR do?
The FSDP wrapper inside `trainer.py` needs to be initialized with `use_orig_params=True` for FSDP + `torch.compile` to work well together. Therefore, I added some code to check inside the relevant FSDP section if `torch_compile` is set to `True` to then add `use_orig_params` with the correspo... | {
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https://api.github.com/repos/huggingface/transformers/issues/23480 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/23480/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/23480/comments | https://api.github.com/repos/huggingface/transformers/issues/23480/events | https://github.com/huggingface/transformers/issues/23480 | 1,717,668,704 | I_kwDOCUB6oc5mYYtg | 23,480 | SpeechT5 cannot read numbers | {
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"The SpeechT5 tokenizer does not understand numerals. For this to work, the input text should be normalized to \"More than ten people ...\", with the number spelled out. My guess is that the agent doesn't do this.",
"Thanks for the reply. It should not be too difficult to ask the LLM to process the text in order ... | 1,684 | 1,692 | 1,692 | NONE | null | ### System Info
transformers == 4.29.0
environment = Colab
Python == 3.10.11
tensorflow == 2.12.0
torch == 2.0.1+cu118
torchaudio == 2.0.2+cu118
### Who can help?
@sanchit-gandhi
### Information
- [ ] The official example scripts
- [X] My own modified scripts
### Tasks
- [ ] An officially supported task in... | {
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https://api.github.com/repos/huggingface/transformers/issues/23479 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/23479/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/23479/comments | https://api.github.com/repos/huggingface/transformers/issues/23479/events | https://github.com/huggingface/transformers/pull/23479 | 1,717,654,647 | PR_kwDOCUB6oc5Q6grG | 23,479 | 4-bit QLoRA via bitsandbytes (4-bit base model + LoRA) | {
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"Amazing! \r\ncc @SunMarc for visibility as well! \r\nWill review asap 💪 ",
"_The documentation is not available anymore as the PR was closed or merged._",
"Thank you for the review! I created a separate PR for the LLaMA bug: https://github.com/huggingface/transformers/pull/23535\r\n\r\nThe optimizers are also... | 1,684 | 1,684 | 1,684 | CONTRIBUTOR | null | # What does this PR do?
This PR introduces 4-bit QLoRA to transformers. The main changes are for the bitsandbytes config. Additionally, we added one change to the LLaMA implementation where there is a bug that the data type chances if layer norms are in 32-bit and the rest is in bf16.
More information about QLoRA... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,684 | 1,684 | 1,684 | COLLABORATOR | null | # What does this PR do?
Similar to #23463, but for the nightly CI (i.e. the nightly version of torch + deepspeed instead of the stable release).
This should be the last piece to make all the CI workflow to run (🤞) | {
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https://api.github.com/repos/huggingface/transformers/issues/23477 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/23477/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/23477/comments | https://api.github.com/repos/huggingface/transformers/issues/23477/events | https://github.com/huggingface/transformers/pull/23477 | 1,717,516,182 | PR_kwDOCUB6oc5Q6CcA | 23,477 | Better TF docstring types | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"The tests seem to indicate we use those type annotations for something (auto-detecting the labels would be my guess).",
"We use them in one of the TF tests, in a way that causes issues with the `from __future__` import. I think the... | 1,684 | 1,684 | 1,684 | MEMBER | null | cc @sgugger - this is the PR based on the conversation we had on Slack! I just scanned our TF files and replaced some `Optional[]` and `Union[]` patterns with `|` instead. The doc builder now writes much cleaner docstrings, instead of the `tensorflow.python.framework.ops.Tensor` stuff it was writing before.
Some tes... | {
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https://api.github.com/repos/huggingface/transformers/issues/23476 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/23476/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/23476/comments | https://api.github.com/repos/huggingface/transformers/issues/23476/events | https://github.com/huggingface/transformers/issues/23476 | 1,717,492,999 | I_kwDOCUB6oc5mXt0H | 23,476 | Flyte Callback | {
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"Hi there! You can definitely open a PR. `integrations.py` is open to the community and callbacks defined there are maintained by their authors and not by us. So as long as you're fine getting pinged by users who get a problem with this callback in the future, please share your new callback :-) "
] | 1,684 | 1,686 | 1,686 | CONTRIBUTOR | null | ### Feature request
Hi! I am an OSS contributor to [Flyte](https://flyte.org/), a workflow orchestration tool. I am working on a HuggingFace plugin to integrate better with Hugging Face.
I am working on a `FlyteCallback` that will automatically integrate with Flyte's checkpointing, visualizations, and eventually ... | {
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https://api.github.com/repos/huggingface/transformers/issues/23475 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/23475/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/23475/comments | https://api.github.com/repos/huggingface/transformers/issues/23475/events | https://github.com/huggingface/transformers/pull/23475 | 1,717,460,734 | PR_kwDOCUB6oc5Q52K9 | 23,475 | Fix: Change tensors to integers for torch.dynamo and torch.compile compatibility | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"You undid your changes, you will need to make them in the file that mas2former copies from 😅 ",
"Oh bummer! Thank you for your patience. I will try to fix it. "
] | 1,684 | 1,684 | 1,684 | CONTRIBUTOR | null | # What does this PR do?
<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
Then, please replace this w... | {
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https://api.github.com/repos/huggingface/transformers/issues/23474 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/23474/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/23474/comments | https://api.github.com/repos/huggingface/transformers/issues/23474/events | https://github.com/huggingface/transformers/issues/23474 | 1,717,358,437 | I_kwDOCUB6oc5mXM9l | 23,474 | graphormer.collating_graphormer.preprocess_item TypeError: Cannot cast array data from dtype('int64') to dtype('int32') according to the rule 'safe' | {
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"cc @clefourrier ",
"Hi @YueZhengMeng, thank you for reporting this!\r\nI'll check it this week. Btw, using int64s everywhere will make the memory explode considerably faster for large graphs, if you need to change it manually in the mean time, it's likely you should use int32s instead.",
"I have not been able ... | 1,684 | 1,688 | 1,688 | NONE | null | ### System Info
- `transformers` version: 4.28.1
- Platform: Windows-10-10.0.19045-SP0
- Python version: 3.9.15
- Huggingface_hub version: 0.10.1
- Safetensors version: not installed ... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,684 | 1,684 | 1,684 | COLLABORATOR | null | # What does this PR do?
This PR makes sure we read the name and description of a donwloaded tool in the config to set them in the tool class if they were not set by the user. We also perform a consistency check and override values by using the tool config when they are different, as the tool config should be the sou... | {
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"Hi @flckv, thanks for raising this error.\r\n\r\nI'm unable to reproduce this error when I run locally on the main branch. Could you share the running environment being used: run `transformers-cli env` in the terminal and copy-paste the output?",
"Hi @amyeroberts, thanks for the quick reply.\r\n\r\n\r\n### The o... | 1,684 | 1,685 | 1,685 | NONE | null | ### System Info
** pre-training wav2vec demo**
https://github.com/huggingface/transformers/blob/main/examples/pytorch/speech-pretraining/README.md running demo gives error:
File “./run_wav2vec2_pretraining_no_trainer.py", line 783, in <module>
main()
File “./run_wav2vec2_pretraining_no_trainer.py", line ... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,684 | 1,684 | 1,684 | CONTRIBUTOR | null | # What does this PR do?
<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
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https://api.github.com/repos/huggingface/transformers/issues/23470 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/23470/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/23470/comments | https://api.github.com/repos/huggingface/transformers/issues/23470/events | https://github.com/huggingface/transformers/issues/23470 | 1,717,132,413 | I_kwDOCUB6oc5mWVx9 | 23,470 | An ability to pass a function to tokenizer to transform prompt | {
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"Hi @nikitastaf1996, thanks for raising this issue. \r\n\r\nSo that we can best understand the proposed feature - could you explain a bit more about the utility this would unlock? At the moment, it seems that a user could transform their prompts as needed before passing to the pipeline e.g.:\r\n\r\n```python\r\ndef... | 1,684 | 1,684 | 1,684 | NONE | null | ### Feature request
Models often work best with specific prompt template.And sometimes [prefix](https://huggingface.co/docs/transformers/v4.29.1/en/main_classes/configuration#transformers.PretrainedConfig.prefix) is not enough.
An ability to pass function to transform prompt would be excellent.
Example
```
def t... | {
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https://api.github.com/repos/huggingface/transformers/issues/23469 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/23469/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/23469/comments | https://api.github.com/repos/huggingface/transformers/issues/23469/events | https://github.com/huggingface/transformers/issues/23469 | 1,717,107,612 | I_kwDOCUB6oc5mWPuc | 23,469 | [Agents and Tools] Custom tool not showing up in the toolbox list | {
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"cc @sgugger @LysandreJik ",
"Thanks for the report! I can confirm that `load_tool` does not properly set the name as described in the `tool_config.json`. One workaround is to implement it properly in the class of your tool (setting the `name` attribute like you did for the description) but the tool config should... | 1,684 | 1,687 | 1,687 | MEMBER | null | I have coded an inpainter tool:
https://huggingface.co/spaces/sayakpaul/inpainting-tool/
Then I load the tool as follows:
```py
from transformers import load_tool
inpainter = load_tool("sayakpaul/inpainting-tool")
```
When running `print(f"Description: '{inpainter.description}'")`, it shows the output a... | {
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https://api.github.com/repos/huggingface/transformers/issues/23468 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/23468/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/23468/comments | https://api.github.com/repos/huggingface/transformers/issues/23468/events | https://github.com/huggingface/transformers/pull/23468 | 1,717,063,092 | PR_kwDOCUB6oc5Q4e9r | 23,468 | [`RWKV`] Rwkv fix for 8bit inference | {
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"^ for the snippet in the description, could you add what's printed out please? :) ",
"_The documentation is not available anymore as the PR was closed or merged._",
"Waiting For This PR to Merge...\r\n\r\nMerge this PR ASAP!",
"@amyeroberts Please Review this PR Fast!",
"Thanks! Just updated the comment! ... | 1,684 | 1,684 | 1,684 | CONTRIBUTOR | null | # What does this PR do?
Fixes #23467
RWKV architecture scales down some linear layer weights with a certain factor at various stages for inference and training.
In the case of 8bit models, this leads to an error because the weight matrix is now an `int8` matrix. Therefore to apply the scaling one needs to scale ... | {
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https://api.github.com/repos/huggingface/transformers/issues/23467 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/23467/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/23467/comments | https://api.github.com/repos/huggingface/transformers/issues/23467/events | https://github.com/huggingface/transformers/issues/23467 | 1,716,980,493 | I_kwDOCUB6oc5mVwsN | 23,467 | RuntimeError: result type Float can't be cast to the desired output type Char | {
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"cc @younesbelkada regarding 8bit loading ",
"Hi @TheFaheem \r\nThanks for the issue, it should be fixed in #23468",
"> Hi @TheFaheem Thanks for the issue, it should be fixed in #23468\r\n\r\nYo! Thanks Man. I Thought This Issue Takes Days To Get to Your Eyes.\r\n\r\nThanks For Your Lightning Speed Fix.\r\n\r\n... | 1,684 | 1,684 | 1,684 | NONE | null | ### System Info
Colab Configuration:
- `transformers` version: 4.30.0.dev0
- Platform: Linux-5.15.107+-x86_64-with-glibc2.31
- Python version: 3.10.11
- Huggingface_hub version: 0.14.1
- Safetensors version: not installed
- PyTorch version (GPU?): 2.0.1+cu118 (True)
- Tensorflow version (GPU?): 2.12.0 (True)
... | {
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https://api.github.com/repos/huggingface/transformers/issues/23466 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/23466/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/23466/comments | https://api.github.com/repos/huggingface/transformers/issues/23466/events | https://github.com/huggingface/transformers/issues/23466 | 1,716,975,879 | I_kwDOCUB6oc5mVvkH | 23,466 | RuntimeError: result type Float can't be cast to the desired output type Char | {
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"Closing as it's exact copy of #23467 ",
"Sorry Happened By mistake"
] | 1,684 | 1,684 | 1,684 | NONE | null | ### System Info
My System Info:
- `transformers` version: 4.30.0.dev0
- Platform: Linux-5.15.107+-x86_64-with-glibc2.31
- Python version: 3.10.11
- Huggingface_hub version: 0.14.1
- Safetensors version: not installed
- PyTorch version (GPU?): 2.0.1+cu118 (True)
- Tensorflow version (GPU?): 2.12.0 (True)
- Flax... | {
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https://api.github.com/repos/huggingface/transformers/issues/23465 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/23465/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/23465/comments | https://api.github.com/repos/huggingface/transformers/issues/23465/events | https://github.com/huggingface/transformers/pull/23465 | 1,716,956,904 | PR_kwDOCUB6oc5Q4HoA | 23,465 | Fix confusing `transformers` installation in CI | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_23465). All of your documentation changes will be reflected on that endpoint."
] | 1,684 | 1,684 | 1,684 | COLLABORATOR | null | # What does this PR do?
As mentioned in [this comment](https://github.com/huggingface/transformers/pull/23277#issuecomment-1544080975), the `transformers` in CI runs is not the same one installed during docker image build.
Furthermore, for past CI, we didn't update the docker image daily (there is no need to upda... | {
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https://api.github.com/repos/huggingface/transformers/issues/23464 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/23464/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/23464/comments | https://api.github.com/repos/huggingface/transformers/issues/23464/events | https://github.com/huggingface/transformers/issues/23464 | 1,716,902,604 | I_kwDOCUB6oc5mVdrM | 23,464 | Module image_processing_videomae can't be found | {
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"Hi @TheOrange-cmd, thanks for reporting this issue. \r\n\r\nIs seems the error is arising with an import of the PIL library. Could you run `pip list | grep Pillow` and share which version of `Pillow` is installed? ",
"Thank you for the quick response. I get some errors with grep; I see it's meant for Linux? I tr... | 1,684 | 1,692 | 1,687 | NONE | null | ### System Info
- `transformers` version: 4.22.0
- Platform: Windows-10-10.0.19041-SP0
- Python version: 3.8.5
- Huggingface_hub version: 0.14.1
- PyTorch version (GPU?): 1.12.1 (False)
- Tensorflow version (GPU?): 2.10.0 (False)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not installed... | {
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https://api.github.com/repos/huggingface/transformers/issues/23463 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/23463/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/23463/comments | https://api.github.com/repos/huggingface/transformers/issues/23463/events | https://github.com/huggingface/transformers/pull/23463 | 1,716,865,674 | PR_kwDOCUB6oc5Q3z7f | 23,463 | Fix `transformers`' DeepSpeed CI job | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Going to merge. cc @stas00 so you know now we are using CUDA 118 on CI (as you mentioned/requested once before)",
"super! thank you for the heads up, @ydshieh!"
] | 1,684 | 1,684 | 1,684 | COLLABORATOR | null | # What does this PR do?
The new (cu118) base docker image has pre-installed `transformer-engine` (which wasn't the case in the previous base image). This causes DeepSpeed CI job fails from the beginning with
```bash
E ImportError: /usr/local/lib/python3.8/dist-packages/transformer_engine_extensions.cpython-38-x8... | {
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https://api.github.com/repos/huggingface/transformers/issues/23462 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/23462/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/23462/comments | https://api.github.com/repos/huggingface/transformers/issues/23462/events | https://github.com/huggingface/transformers/issues/23462 | 1,716,834,890 | I_kwDOCUB6oc5mVNJK | 23,462 | CLIPTextModel gives different results for batched vs unbatched | {
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"hi @ethansmith2000 \r\nHmm I have also experienced few issue like that in the past with text models in half-precision (float16 mainly), I think that it is expected to have a few numerical differences between batched vs unbatched. Can you try different values for `atol` and `rtol`?\r\n\r\n```python\r\nprint(torch.a... | 1,684 | 1,687 | 1,687 | NONE | null | ### System Info
- `transformers` version: 4.28.1
- Platform: Linux-5.15.0-52-generic-x86_64-with-glibc2.29
- Python version: 3.8.10
- Huggingface_hub version: 0.13.4
- Safetensors version: 0.3.0
- PyTorch version (GPU?): 1.13.1+cu116 (True)
- Tensorflow version (GPU?): 2.11.1 (True)
- Flax version (CPU?/GPU?/TP... | {
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"Hi @jimmysue, thanks for raising this issue! \r\n\r\nFor the segment ids, they increment from 0 -> total number of segments for each image. This is expected for segmentation like panoptic, as we want each individual instance to have its own segment ID assigned e.g. segment 0 -> car 0, segment 1 -> car 1, segment 3... | 1,684 | 1,693 | 1,693 | NONE | null | Code below increment segment id from last iteration segment id, which is wrong. Correct segment id should increment from the latest(which is the largest so far) segment id.
https://github.com/huggingface/transformers/blob/a7920065f2cfd2549b838f9a30afd7c265fcdd88/src/transformers/models/mask2former/image_processing_mas... | {
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https://api.github.com/repos/huggingface/transformers/issues/23460 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/23460/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/23460/comments | https://api.github.com/repos/huggingface/transformers/issues/23460/events | https://github.com/huggingface/transformers/pull/23460 | 1,716,748,309 | PR_kwDOCUB6oc5Q3axe | 23,460 | Add InstructBLIP | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thank you for your contribution! I noticed a potential problem with this open PR. It seems that the InstructBLIP processor is missing the QformerTokenizer compared to the BLIP2Processor. ",
"Thanks for your review. Updates:\r\n\r\n... | 1,684 | 1,687 | 1,687 | CONTRIBUTOR | null | # What does this PR do?
This PR adds [InstructBLIP](https://github.com/salesforce/LAVIS/tree/main/projects/instructblip), a visual instruction tuned version of [BLIP-2](https://huggingface.co/docs/transformers/main/model_doc/blip-2).
It's a bit like an open-source multimodal GPT-4, leveraging Flan-T5 and Vicuna p... | {
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"cc @ArthurZucker @younesbelkada ",
"The '[' or ']' in BertTokenizer is punctuation, it will be split at first. And the `outline` or `[outline]` is not in vocab, its will be set UNK. It doesn't seem to make sense anymore.\r\nLook the code: https://github.com/huggingface/transformers/blob/main/src/transformers/mod... | 1,684 | 1,697 | 1,691 | NONE | null | ### System Info
transformers 4.28.1
python 3.8.13
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [X] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or dataset (give details below)
##... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_23458). All of your documentation changes will be reflected on that endpoint."
] | 1,684 | 1,684 | 1,684 | NONE | null | # What does this PR do?
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"@amyeroberts now with deprecation messages (as opposed to deletions) and pytest asserts 🤗 \r\n@Rocketknight1 ping 🙌 "
] | 1,684 | 1,686 | 1,686 | MEMBER | null | # What does this PR do?
`test_model_common_attributes` was overridden in most TF LMs because:
1. it was not able to handle legacy classes with LM heads (there was not a single set of autoclasses that would catch them)
2. many modern decoder-only LMs do not have a bias in the LM head
This PR adapts the test to a... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@amyeroberts comments addressed 🙌 \r\n\r\nI've double-checked: slow tests are passing for CTRL"
] | 1,684 | 1,686 | 1,686 | MEMBER | null | # What does this PR do?
Follows up on #23436, migrating the embedding layer of CTRL to native Keras embeddings
CTRL needed several related changes, so it deserves a stand-alone PR. This PR:
1. Replaces `TFSharedEmbeddings` by the native Keras layers
2. Fixes resized bias serialization, just like https://github.... | {
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] | 1,684 | 1,684 | 1,684 | COLLABORATOR | null | # What does this PR do?
In the PR adding RWKV, a new `kernels` folder was created. This PR does some additional cleanup by moving the CUDA kernels of existing models into this new folder. | {
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This PR makes it possible to customize how results of the agent are displayed (default is using `print`) by adding a `set_stream` method.
Should address #23354 | {
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"@LysandreJik sorry for the ping, but can you check the PR?"
] | 1,684 | 1,684 | 1,684 | CONTRIBUTOR | null | # What does this PR do?
Fixes minor typos and updates link to Nebuly (renamed from nebullvm)
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#23438 accidentally broke main since the objects in `.generation` imported are only available when PyTorch is installed. This PR fixes that. | {
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Less flaky `test_assisted_decoding_matches_greedy_search`: fail only if more than 1 failure among 10. | {
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https://api.github.com/repos/huggingface/transformers/issues/23449 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/23449/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/23449/comments | https://api.github.com/repos/huggingface/transformers/issues/23449/events | https://github.com/huggingface/transformers/issues/23449 | 1,715,506,548 | I_kwDOCUB6oc5mQI10 | 23,449 | Leverage Langchain Prompt Templates | {
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"cc @LysandreJik @sgugger ",
"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/transforme... | 1,684 | 1,687 | 1,687 | NONE | null | By leveraging the Prompt Templates and the Conversation Memory we can induce ReAct ( Thought, Observation ) approach from Langchain | {
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https://api.github.com/repos/huggingface/transformers/issues/23448 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/23448/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/23448/comments | https://api.github.com/repos/huggingface/transformers/issues/23448/events | https://github.com/huggingface/transformers/pull/23448 | 1,715,468,948 | PR_kwDOCUB6oc5QzEM8 | 23,448 | Generate: increase left-padding test atol | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,684 | 1,686 | 1,686 | MEMBER | null | # What does this PR do?
As stated in #23437, `GPTBigCode` was failing the left padding test. Upon further investigation:
1. `GPTBigCode` is left padding compatible, it accepts `position_ids` and uses them correctly
2. The test is only failing on CPU
3. The diff extremely small...
...so I've raised `atol` to `1... | {
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https://api.github.com/repos/huggingface/transformers/issues/23447 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/23447/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/23447/comments | https://api.github.com/repos/huggingface/transformers/issues/23447/events | https://github.com/huggingface/transformers/issues/23447 | 1,715,436,269 | I_kwDOCUB6oc5mP3rt | 23,447 | Error while running agent for Image Question Answering | {
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"Hi @pratikkotian04, thanks for raising this issue and for providing so much detail. \r\n\r\nI'm able to reproduce the issue. It seems the error is coming from our image processing library, I'll dig into it.",
"@pratikkotian04 The error is arising because the image has a depth channel i.e. is in RGBA format, and ... | 1,684 | 1,690 | 1,690 | NONE | null | ### System Info
Code :
import requests
from PIL import Image
import torch
image_url = "https://raw.githubusercontent.com/vis-nlp/ChartQA/main/ChartQA%20Dataset/val/png/20294671002019.png"
image = Image.open(requests.get(image_url, stream=True).raw)
#document = '/content/child_death.png'
agent.run(
questi... | {
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https://api.github.com/repos/huggingface/transformers/issues/23446 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/23446/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/23446/comments | https://api.github.com/repos/huggingface/transformers/issues/23446/events | https://github.com/huggingface/transformers/pull/23446 | 1,715,315,825 | PR_kwDOCUB6oc5QyikQ | 23,446 | Update tiny models and pipeline tests | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_23446). All of your documentation changes will be reflected on that endpoint."
] | 1,684 | 1,684 | 1,684 | COLLABORATOR | null | # What does this PR do?
Update tiny models and pipeline tests.
The two failing pipeline tests for `rwkv` is addressed in #23442 and #23444 (and need to merge them before this one) | {
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https://api.github.com/repos/huggingface/transformers/issues/23445 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/23445/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/23445/comments | https://api.github.com/repos/huggingface/transformers/issues/23445/events | https://github.com/huggingface/transformers/pull/23445 | 1,715,253,743 | PR_kwDOCUB6oc5QyVE8 | 23,445 | Allow dict input for audio classification pipeline | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Apologies @sgugger! To clarify, the changes in this PR are one-for-one copied from the input arguments in https://github.com/huggingface/transformers/blob/main/src/transformers/pipelines/automatic_speech_recognition.py\r\n\r\nEssenti... | 1,684 | 1,687 | 1,687 | CONTRIBUTOR | null | # What does this PR do?
Allow dictionary inputs for the audio classification pipeline
## 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 [contributor guideline](https://github.com/huggingface/transformers/blob/main/C... | {
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https://api.github.com/repos/huggingface/transformers/issues/23444 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/23444/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/23444/comments | https://api.github.com/repos/huggingface/transformers/issues/23444/events | https://github.com/huggingface/transformers/pull/23444 | 1,715,237,544 | PR_kwDOCUB6oc5QyRlH | 23,444 | Fix (skip) a pipeline test for `RwkvModel` | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,684 | 1,684 | 1,684 | COLLABORATOR | null | # What does this PR do?
Fix (skip) a pipeline test for `RwkvModel`. | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"cc @sgugger @younesbelkada ",
"> \r\n\r\nusing load_adapter seems to be a smarter solution, I'll try it.",
"Awesome, let us know how it goes!",
"is this is addressing where the bug came from... looking at an older working versi... | 1,684 | 1,684 | 1,684 | CONTRIBUTOR | null | Ref: https://github.com/huggingface/peft/issues/394
Loading a quantized checkpoint into non-quantized Linear8bitLt is not supported.
call module.cuda() before module.load_state_dict()
# What does this PR do?
fix: load_best_model_at_end error when load_in_8bit is True
Ref: https://github.com/hugging... | {
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https://api.github.com/repos/huggingface/transformers/issues/23442 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/23442/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/23442/comments | https://api.github.com/repos/huggingface/transformers/issues/23442/events | https://github.com/huggingface/transformers/pull/23442 | 1,715,187,858 | PR_kwDOCUB6oc5QyG3t | 23,442 | Make `RwkvModel` accept `attention_mask` but discard it internally | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,684 | 1,684 | 1,684 | COLLABORATOR | null | # What does this PR do?
`RwkvModel` doesn't accept `attention_mask` but the tokenizer (it is `GPTNeoXTokenizer` from the checkpoints) prepares this input. When I try to run the pipeline tests for this model, I get
```bash
TypeError: forward() got an unexpected keyword argument 'attention_mask'
```
I see it wo... | {
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https://api.github.com/repos/huggingface/transformers/issues/23441 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/23441/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/23441/comments | https://api.github.com/repos/huggingface/transformers/issues/23441/events | https://github.com/huggingface/transformers/issues/23441 | 1,715,176,737 | I_kwDOCUB6oc5mO4Uh | 23,441 | Same capabilities for exporting using torchscript as with ONNX | {
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"@darwinharianto There's a guide on exporting to torchscript in the docs: https://huggingface.co/docs/transformers/torchscript\r\n\r\nLet us know if there's any information missing there. ",
"I can safely export the model to torchscript using this code, but I get this `TracerWarning: Converting a tensor to a Pyth... | 1,684 | 1,684 | 1,684 | NONE | null | ### Feature request
There are two supported ways to serialize the model which is to use ONNX or to use torchscript. Looking at the documentation, in [ONNX](https://huggingface.co/docs/transformers/main/serialization), ONNX exporter seemed to save both processor and model to a file, while torchscript exporter just exp... | {
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https://api.github.com/repos/huggingface/transformers/issues/23440 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/23440/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/23440/comments | https://api.github.com/repos/huggingface/transformers/issues/23440/events | https://github.com/huggingface/transformers/pull/23440 | 1,714,715,010 | PR_kwDOCUB6oc5QwiI7 | 23,440 | add cleanlab to awesome-transformers tools list | {
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"Also ccing @LysandreJik who compiled the list :)",
"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,684 | 1,684 | 1,684 | CONTRIBUTOR | null | This PR adds the cleanlab package to the awesome-transformers list.
cleanlab uses **transformers** & Hugging Face in all sorts of ways. Here's a couple of them:
- [tutorial for text data with **transformers**](https://docs.cleanlab.ai/stable/tutorials/datalab/text.html)
- [active learning with **transformers**](... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_23439). All of your documentation changes will be reflected on that endpoint.",
"Thanks for the review @hollance! Addressed the comments above, the only part that might need follow-up discussion is making the `labels` compa... | 1,684 | 1,704 | 1,704 | CONTRIBUTOR | null | # What does this PR do?
Adds the TTS (text-to-speech) conformer version of the FastSpeech2 model. Closest related issue is [#15166](https://github.com/huggingface/transformers/issues/15166) though this implements ESPnet's conformer version instead of Fairseq's version as suggested in https://github.com/huggingface/t... | {
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https://api.github.com/repos/huggingface/transformers/issues/23438 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/23438/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/23438/comments | https://api.github.com/repos/huggingface/transformers/issues/23438/events | https://github.com/huggingface/transformers/pull/23438 | 1,714,608,596 | PR_kwDOCUB6oc5QwLbi | 23,438 | Add local agent | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,684 | 1,684 | 1,684 | COLLABORATOR | null | # What does this PR do?
This PR adds support for a local agent running the model to generate code on the user's machine. | {
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https://api.github.com/repos/huggingface/transformers/issues/23437 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/23437/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/23437/comments | https://api.github.com/repos/huggingface/transformers/issues/23437/events | https://github.com/huggingface/transformers/pull/23437 | 1,714,441,741 | PR_kwDOCUB6oc5Qvmma | 23,437 | Generate: skip left-padding tests on old models | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"It seems like `GPTBigCode` need to be fixed! Adding back the `@slow` to defer back fixing",
"@gante it all passes now 😄 \r\n"
] | 1,684 | 1,684 | 1,684 | MEMBER | null | # What does this PR do?
We have a few left-padding tests polluting our daily CI -- these are from old models, where it is not worth committing >1hr per model to add support for left padding.
This PR skips the test in those models, so we can focus our energy where it matters :) | {
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https://api.github.com/repos/huggingface/transformers/issues/23436 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/23436/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/23436/comments | https://api.github.com/repos/huggingface/transformers/issues/23436/events | https://github.com/huggingface/transformers/pull/23436 | 1,714,382,194 | PR_kwDOCUB6oc5QvZFh | 23,436 | TF: GPT2 with native embedding layers | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,684 | 1,684 | 1,684 | MEMBER | null | # What does this PR do?
This PR continues the (paused) goal of deprecating our custom TF embedding layers and related code. Previously, we have converted encoder-decoder models (e.g. [here](https://github.com/huggingface/transformers/pull/19263)), removing `TFSharedEmbeddings` there and making the necessary adaptati... | {
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https://api.github.com/repos/huggingface/transformers/issues/23435 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/23435/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/23435/comments | https://api.github.com/repos/huggingface/transformers/issues/23435/events | https://github.com/huggingface/transformers/pull/23435 | 1,714,312,494 | PR_kwDOCUB6oc5QvJyf | 23,435 | Fix device issue in `SwiftFormerModelIntegrationTest::test_inference_image_classification_head` | {
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] | 1,684 | 1,684 | 1,684 | COLLABORATOR | null | # What does this PR do?
The title says everything 😄 | {
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https://api.github.com/repos/huggingface/transformers/issues/23434 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/23434/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/23434/comments | https://api.github.com/repos/huggingface/transformers/issues/23434/events | https://github.com/huggingface/transformers/pull/23434 | 1,714,274,875 | PR_kwDOCUB6oc5QvBse | 23,434 | Export to ONNX doc refocused on using optimum, added tflite | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,684 | 1,684 | 1,684 | CONTRIBUTOR | null | Currently, despite the notes saying that the recommended way is to use Optimum, the main focus of the doc is on using `transformers.onnx`, which is no longer maintained (according to optimum team).
This PR restructures the doc to put the optimum examples forward as the primary way for exporting models to ONNX.
The ... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,684 | 1,684 | 1,684 | CONTRIBUTOR | null | # What does this PR do?
Removes an unnecessary print from gpt neox's sequence classifier output which muffles unnecessary output that was likely used for debugging at one point. Before, training gpt neox as a sequence classifier would `print` the logit/label sizes every training step which is hard to muffle and gene... | {
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https://api.github.com/repos/huggingface/transformers/issues/23432 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/23432/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/23432/comments | https://api.github.com/repos/huggingface/transformers/issues/23432/events | https://github.com/huggingface/transformers/pull/23432 | 1,714,257,339 | PR_kwDOCUB6oc5Qu96n | 23,432 | Remove hardcoded prints in Trainer | {
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@sgugger | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,684 | 1,684 | 1,684 | COLLABORATOR | null | # What does this PR do?
Need to updated some values in the tests after #23056 (which itself updated some values too).
(Otherwise tests fail at this moment).
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https://api.github.com/repos/huggingface/transformers/issues/23430 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/23430/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/23430/comments | https://api.github.com/repos/huggingface/transformers/issues/23430/events | https://github.com/huggingface/transformers/pull/23430 | 1,714,165,338 | PR_kwDOCUB6oc5Qupqv | 23,430 | 🌐 [i18n-KO] Translated `tasks/zero_shot_object_detection.mdx` to Korean | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,684 | 1,684 | 1,684 | CONTRIBUTOR | null | <!-- PR의 제목은 "🌐 [i18n-KO] Translated `<your_file>.mdx` to Korean" 으로 부탁드립니다 -->
# What does this PR do?
Translated the `tasks/zero_shot_object_detection.mdx` file of the documentation to Korean.
Thank you in advance for your review.
Part of https://github.com/huggingface/transformers/issues/20179
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"_The documentation is not available anymore as the PR was closed or merged._",
"You are right, my bad!\r\n\r\nWhat about if we made it like this:\r\n```python \r\n k: [t[i : i + block_size] for i in range(0, total_length - block_size + 1, block_size)]\r\n```\r\nthis way, we will not drop an entire batch when `to... | 1,684 | 1,684 | 1,684 | 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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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,684 | 1,684 | 1,684 | MEMBER | null | # What does this PR do?
Cosmetic PR: the check to confirm that `input_ids` is within bounds, added by me, is annoyingly verbose. Since it is not part of the model code, this PR factors it out into a separate function -- the model code becomes more readable 🤗
The corresponding test passes after these changes (`R... | {
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https://api.github.com/repos/huggingface/transformers/issues/23426 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/23426/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/23426/comments | https://api.github.com/repos/huggingface/transformers/issues/23426/events | https://github.com/huggingface/transformers/pull/23426 | 1,713,807,430 | PR_kwDOCUB6oc5Qtaw3 | 23,426 | Encoder-Decoder: add informative exception when the decoder is not compatible | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,684 | 1,684 | 1,684 | MEMBER | null | # What does this PR do?
Related to https://github.com/huggingface/transformers/issues/23350
Many decoder models are not compatible with our `EncoderDecoder` structure (mostly because using the encoded hidden states appropriately requires extra code in the decoder model architecture itself). This PR adds an inform... | {
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https://api.github.com/repos/huggingface/transformers/issues/23425 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/23425/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/23425/comments | https://api.github.com/repos/huggingface/transformers/issues/23425/events | https://github.com/huggingface/transformers/issues/23425 | 1,713,791,409 | I_kwDOCUB6oc5mJmGx | 23,425 | Loading LLaMA hf format from local folder is not using GPU in Google Colab | {
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"Hi @algiraldohe, thanks for raising this issue. \r\n\r\nTo load the model directly onto the available GPUs, you should pass `device_map='auto'` when loading the model:\r\n\r\n```python\r\nmodel = LlamaForCausalLM.from_pretrained(base_model_path, device_map='auto')\r\n```",
"Thank you for your prompt response I d... | 1,684 | 1,688 | 1,688 | NONE | null | ### System Info
Using Google colab:
NAME="Ubuntu"
VERSION="20.04.5 LTS (Focal Fossa)"
GPU = T4
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2022 NVIDIA Corporation
Built on Wed_Sep_21_10:33:58_PDT_2022
Cuda compilation tools, release 11.8, V11.8.89
Build cuda_11.8.r11.8/compiler.31833905_0
... | {
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https://api.github.com/repos/huggingface/transformers/issues/23424 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/23424/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/23424/comments | https://api.github.com/repos/huggingface/transformers/issues/23424/events | https://github.com/huggingface/transformers/issues/23424 | 1,713,788,328 | I_kwDOCUB6oc5mJlWo | 23,424 | group_texts function produces batches with length shorter than block_size | {
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- `transformers` version: 4.28.1
- Platform: Linux-3.10.0-1160.76.1.el7.x86_64-x86_64-with-glibc2.17
- Python version: 3.10.0
- Huggingface_hub version: 0.14.1
- Safetensors version: not installed
- PyTorch version (GPU?): 1.12.1+cu102 (False)
- Tensorflow version (GPU?): not installed (NA)
- Fl... | {
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https://api.github.com/repos/huggingface/transformers/issues/23423 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/23423/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/23423/comments | https://api.github.com/repos/huggingface/transformers/issues/23423/events | https://github.com/huggingface/transformers/pull/23423 | 1,713,750,501 | PR_kwDOCUB6oc5QtOH7 | 23,423 | Fire | {
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"🔥 ",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_23423). All of your documentation changes will be reflected on that endpoint."
] | 1,684 | 1,684 | 1,684 | COLLABORATOR | 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/23422 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/23422/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/23422/comments | https://api.github.com/repos/huggingface/transformers/issues/23422/events | https://github.com/huggingface/transformers/pull/23422 | 1,713,052,026 | PR_kwDOCUB6oc5Qq2Yo | 23,422 | Fix gradient checkpointing bugs in freezing part of models (requires_grad=False) | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_23422). 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... | 1,684 | 1,687 | 1,687 | CONTRIBUTOR | null | # What does this PR do?
Same as the [PR I opened](https://github.com/huggingface/diffusers/pull/3404) in diffusers.
Using ```torch.utils.checkpoint.checkpoint``` directly will cause the parameters in the checkpoint section to not be learned when part of the model parameters are freezed. As these discussions stat... | {
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https://api.github.com/repos/huggingface/transformers/issues/23421 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/23421/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/23421/comments | https://api.github.com/repos/huggingface/transformers/issues/23421/events | https://github.com/huggingface/transformers/pull/23421 | 1,713,005,946 | PR_kwDOCUB6oc5Qqs2- | 23,421 | Return early once stop token is found. | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,684 | 1,684 | 1,684 | CONTRIBUTOR | null | # What does this PR do?
Previously even after finding a stop token, other stop tokens were considered, which is unnecessary and slows down processing.
Currently, this unnecessary overhead is negligible since there are usually 2 stop tokens considered and they are fairly short, but in future it may become more exp... | {
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https://api.github.com/repos/huggingface/transformers/issues/23420 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/23420/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/23420/comments | https://api.github.com/repos/huggingface/transformers/issues/23420/events | https://github.com/huggingface/transformers/pull/23420 | 1,712,996,550 | PR_kwDOCUB6oc5Qqq7v | 23,420 | Fix a typo in HfAgent docstring. | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,684 | 1,684 | 1,684 | CONTRIBUTOR | null | # What does this PR do?
Fixes a typo in HfAgent docstring. | {
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https://api.github.com/repos/huggingface/transformers/issues/23419 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/23419/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/23419/comments | https://api.github.com/repos/huggingface/transformers/issues/23419/events | https://github.com/huggingface/transformers/issues/23419 | 1,712,983,143 | I_kwDOCUB6oc5mGgxn | 23,419 | Save checkpoint asynchronously on cpu to keep GPU training going | {
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"Hi @ykihong0, thanks for raising this issue.\r\n\r\nSo that we can best understand the feature being discussed, is this checkpoint saving when using the `Trainer` class? ",
"Hello @amyeroberts, Thanks for reply.\r\n\r\n> So that we can best understand the feature being discussed, is this checkpoint saving when u... | 1,684 | 1,693 | 1,688 | NONE | null | ### Feature request
I would like to save checkpoints during training as asynchronous
There is no need for training to wait the end of checkpoint saving
### Motivation
As Model size is bigger and bigger, Saving checkpoint during model training takes more time.
The important problem is that two jobs, saving checkpoi... | {
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https://api.github.com/repos/huggingface/transformers/issues/23418 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/23418/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/23418/comments | https://api.github.com/repos/huggingface/transformers/issues/23418/events | https://github.com/huggingface/transformers/issues/23418 | 1,712,913,373 | I_kwDOCUB6oc5mGPvd | 23,418 | Request to upgrade torch version in vision model | {
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"Good catch @RissyRan! Torch cpu didn't exist until PT 1.10 😅, so fine for me to bump this! We can just amend this two lines in the requirements file: https://github.com/huggingface/transformers/blob/a574de302f8538d73c342ee946c2cbf8c64e7a6f/examples/flax/vision/requirements.txt#L5-L8\r\n\r\nWould you like to open ... | 1,684 | 1,684 | 1,684 | CONTRIBUTOR | null | ### System Info
Running vision [model](https://github.com/huggingface/transformers/tree/main/examples/flax/vision) on Cloud TPU with JAX version 4.10.0.
### Who can help?
@amyeroberts @sanchit-gandhi
### Information
- [X] The official example scripts
- [ ] My own modified scripts
### Tasks
- [X] An official... | {
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https://api.github.com/repos/huggingface/transformers/issues/23417 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/23417/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/23417/comments | https://api.github.com/repos/huggingface/transformers/issues/23417/events | https://github.com/huggingface/transformers/pull/23417 | 1,712,835,520 | PR_kwDOCUB6oc5QqJMt | 23,417 | Remove .data usages in optimizations.py | {
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"@muellerzr the usage of the `.data` will greatly slow down pytorch/xla on nightly, we were hoping we can fix this issue before the next release.",
"_The documentation is not available anymore as the PR was closed or merged._",
"This is a very old and deprecated implementation since it doesn't even follow the ... | 1,684 | 1,684 | 1,684 | CONTRIBUTOR | null | # What does this PR do?
.data usages is deprecated in recent releases of PyTorch. See https://github.com/pytorch/pytorch/issues/91093#issuecomment-1397317273
This change replace all .data usages in optimizations.py with modern alternatives.
## Before submitting
- [ ] This PR fixes a typo or improves the docs ... | {
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"cc @pacman100 ",
"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/mai... | 1,684 | 1,690 | 1,687 | NONE | null | ### System Info
- `transformers` version: 4.28.1
- Platform: Linux-5.4.0-148-generic-x86_64-with-glibc2.17
- Python version: 3.8.16
- Huggingface_hub version: 0.12.0
- Safetensors version: not installed
- PyTorch version (GPU?): 1.13.1+cu117 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version ... | {
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https://api.github.com/repos/huggingface/transformers/issues/23415 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/23415/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/23415/comments | https://api.github.com/repos/huggingface/transformers/issues/23415/events | https://github.com/huggingface/transformers/pull/23415 | 1,712,779,530 | PR_kwDOCUB6oc5Qp9FF | 23,415 | Use dict.items to avoid unnecessary lookups. | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,684 | 1,684 | 1,684 | CONTRIBUTOR | null | # What does this PR do?
It's more efficient to iterate over key, value dict pairs instead of iterating over keys and performing value lookups on each iteration. It's also more idiomatic. | {
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https://api.github.com/repos/huggingface/transformers/issues/23414 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/23414/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/23414/comments | https://api.github.com/repos/huggingface/transformers/issues/23414/events | https://github.com/huggingface/transformers/pull/23414 | 1,712,574,337 | PR_kwDOCUB6oc5QpRm3 | 23,414 | Fix smdistributed check | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,684 | 1,684 | 1,684 | COLLABORATOR | null | # What does this PR do?
It turns out the `smdistributed` package does not have metadata so #23163 made this package always seem unavailable. This fixes it. | {
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https://api.github.com/repos/huggingface/transformers/issues/23413 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/23413/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/23413/comments | https://api.github.com/repos/huggingface/transformers/issues/23413/events | https://github.com/huggingface/transformers/issues/23413 | 1,712,530,142 | I_kwDOCUB6oc5mEyLe | 23,413 | Generation issues with seq2seq LMs | {
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"Hey @abarbet 👋 \r\n\r\nThis issue may arise when beam search, sampling, and long outputs are used together. A potential bug on PyTorch itself compounds it. You can read the full story in [this issue](https://github.com/huggingface/transformers/issues/22914).\r\n\r\nTL;DR -- my immediate suggestion would be to avo... | 1,684 | 1,692 | 1,687 | NONE | null | ### System Info
- `transformers` version: 4.27.1
- Platform: Linux-5.19.0-41-generic-x86_64-with-glibc2.35
- Python version: 3.9.12
- Huggingface_hub version: 0.13.2
- PyTorch version (GPU?): 2.0.0+cu117 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
-... | {
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https://api.github.com/repos/huggingface/transformers/issues/23412 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/23412/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/23412/comments | https://api.github.com/repos/huggingface/transformers/issues/23412/events | https://github.com/huggingface/transformers/issues/23412 | 1,712,433,369 | I_kwDOCUB6oc5mEajZ | 23,412 | Load model from cloud storage | {
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"Thanks for opening an issue. There is no plan to support any other platform than the Hugging Face Hub for remote models.",
"That's fair.\n\nJust saw the notice around the deprecation of remote model using HTTP as well.\n\nClosing :) "
] | 1,684 | 1,684 | 1,684 | NONE | null | ### Feature request
I would like to load models directly from GCS/AWS
Example if your model is on Google Cloud:
```python
model = AutoModelForSequenceClassification.from_pretrained('gs://my_bucket/my_model')
tokenizer = AutoTokenizer.from_pretrained('gs://my_bucket/my_model')
pipe = pipeline('text-... | {
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https://api.github.com/repos/huggingface/transformers/issues/23411 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/23411/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/23411/comments | https://api.github.com/repos/huggingface/transformers/issues/23411/events | https://github.com/huggingface/transformers/issues/23411 | 1,712,420,730 | I_kwDOCUB6oc5mEXd6 | 23,411 | Generative models return the same responses to all questions | {
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"cc @Narsil @gante ",
"Hey @serenalotreck 👋 \r\n\r\nThe models you're trying to use are not compatible with the conversational pipeline. That's why you see the same output on a given model, regardless of the input.\r\n\r\nCheck [these docs](https://huggingface.co/docs/transformers/v4.29.1/en/main_classes/pipelin... | 1,684 | 1,684 | 1,684 | NONE | null | ### System Info
- `transformers` version: 4.25.1
- Platform: Linux-3.10.0-1160.80.1.el7.x86_64-x86_64-with-centos-7.9.2009-Core
- Python version: 3.7.16
- Huggingface_hub version: 0.13.3
- PyTorch version (GPU?): 1.13.1+cu117 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?):... | {
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https://api.github.com/repos/huggingface/transformers/issues/23410 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/23410/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/23410/comments | https://api.github.com/repos/huggingface/transformers/issues/23410/events | https://github.com/huggingface/transformers/issues/23410 | 1,712,376,407 | I_kwDOCUB6oc5mEMpX | 23,410 | TrainingArguments initializer changes `torch.current_device()` | {
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"Your expectation is not correct as `TrainingArguments` will take all GPUs available (in this case it will use DataParallel on your model for the training afterward). You need to set the `CUDA_VISIBLE_DEVICES` environment variable to limit the GPUs seen.",
"Oh, I see. Thanks for the answer!"
] | 1,684 | 1,684 | 1,684 | CONTRIBUTOR | null | ### System Info
```
transformers 4.28.1
python 3.9.13
torch 1.12.1
```
### Who can help?
@sgugger
### Information
- [ ] The official example scripts
- [X] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [X] My own task... | {
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https://api.github.com/repos/huggingface/transformers/issues/23409 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/23409/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/23409/comments | https://api.github.com/repos/huggingface/transformers/issues/23409/events | https://github.com/huggingface/transformers/pull/23409 | 1,712,371,193 | PR_kwDOCUB6oc5QolX9 | 23,409 | Fix parallel mode check | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,684 | 1,685 | 1,684 | CONTRIBUTOR | null | # What does this PR do?
Fixes a check that relies on `distributed_state` when it might not be there
Fixes # (issue)
Should fix https://github.com/huggingface/transformers/issues/23390
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).... | {
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https://api.github.com/repos/huggingface/transformers/issues/23408 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/23408/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/23408/comments | https://api.github.com/repos/huggingface/transformers/issues/23408/events | https://github.com/huggingface/transformers/pull/23408 | 1,712,292,998 | PR_kwDOCUB6oc5QoUvB | 23,408 | small fix to remove unused eos in processor when it's not used. | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,684 | 1,684 | 1,684 | CONTRIBUTOR | null | # What does this PR do?
small fix to remove unused eos in processor when it's not used.
Fix https://github.com/huggingface/transformers/issues/23400
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"_The documentation is not available anymore as the PR was closed or merged._",
"@sgugger it hasn't and has been failing for some time, due to the fact `num_beams` was `None` (the default in the CLI), and we need to pass it in. When checking the diff/blame there was not anything explicitly that changed in this fi... | 1,684 | 1,684 | 1,684 | CONTRIBUTOR | null | # What does this PR do?
This PR fixes the reason translation has been failing, by adding in the same `num_beams` that were found to be used in the test.
Fixes # (issue)
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [ ] Did you ... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_23406). All of your documentation changes will be reflected on that endpoint."
] | 1,684 | 1,684 | 1,684 | COLLABORATOR | null | # What does this PR do?
A follow up for #23339.
I will try to build the images and run a small subset of tests to make sure this doesn't break (too many) things before merge. | {
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] | 1,684 | 1,684 | 1,684 | COLLABORATOR | null | # What does this PR do?
It appears the non python files (such as CUDA kernesl) have disappeared from the built package once again. Fir some reason there were found before with just `*.extension`, but now need `**/*.extension` (although once found again I can remove the **).
This is all super brittle, so this PR a... | {
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https://api.github.com/repos/huggingface/transformers/issues/23404 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/23404/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/23404/comments | https://api.github.com/repos/huggingface/transformers/issues/23404/events | https://github.com/huggingface/transformers/issues/23404 | 1,712,266,706 | I_kwDOCUB6oc5mDx3S | 23,404 | Connection error, and we cannot find the requested files in the cached path. Please try again or make sure your Internet connection is on. | {
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"Hi @tanhanzhuo, thanks for raising this issue! \r\n\r\nIs seems like there's a connection issue when trying to download from the hub. I've just tested locally by clearing my cache and forcing a download with `AutoTokenizer.from_pretrained('bert-base-uncased')`, which ran successfully. Have you tested the internet ... | 1,684 | 1,693 | 1,684 | NONE | null | ### System Info
irrespect of version
AutoTokenizer raises connection error
AutoTokenizer.from_pretrained('bert-base-uncased') takes forever and raise the connection error
@ArthurZucker
thx
### Who can help?
_No response_
### Information
- [X] The official example scripts
- [ ] My own modified scripts
### T... | {
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