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https://api.github.com/repos/huggingface/transformers/issues/24920 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24920/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24920/comments | https://api.github.com/repos/huggingface/transformers/issues/24920/events | https://github.com/huggingface/transformers/pull/24920 | 1,811,984,587 | PR_kwDOCUB6oc5V5PNi | 24,920 | ๐ [i18n-KO] Translated `perf_infer_cpu.md` to Korean | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,689 | 1,690 | 1,690 | CONTRIBUTOR | null | <!-- PR์ ์ ๋ชฉ์ "๐ [i18n-KO] Translated `<your_file>.md` to Korean" ์ผ๋ก ๋ถํ๋๋ฆฝ๋๋ค! -->
# What does this PR do?
Translated the `<your_file>.md` file of the documentation to Korean.
Thank you in advance for your review.
Part of https://github.com/huggingface/transformers/issues/20179
## Before reviewing
- [x] Chec... | {
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"Hi @jungomi\r\n\r\nThank you for raising this issue! Looks valid, I will take a look quickly.",
"Hi @gante \r\n\r\nIt looks we need to update `_validate_model_kwargs` in some way, so some extra but necessary (for correctness) arguments could be allowed even if not in `prepare_inputs_for_generation` (here of the ... | 1,689 | 1,690 | 1,690 | NONE | null | ### System Info
- `transformers` version: 4.30.2
- Platform: Linux-5.15.0-69-generic-x86_64-with-glibc2.35
- Python version: 3.9.7
- Huggingface_hub version: 0.15.1
- Safetensors version: 0.3.1
- PyTorch version (GPU?): 2.0.1+cu117 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?... | {
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https://api.github.com/repos/huggingface/transformers/issues/24918 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24918/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24918/comments | https://api.github.com/repos/huggingface/transformers/issues/24918/events | https://github.com/huggingface/transformers/issues/24918 | 1,811,832,040 | I_kwDOCUB6oc5r_lzo | 24,918 | Inconsistent results between LlamaTokenizer and LlamaTokenizerFast | {
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"Hey! Sorry but I cannot reproduce your issue:\r\n\r\n```python \r\nIn [2]: slow_tokenizer.encode(input_text)\r\nOut[2]: [1, 8931]\r\n\r\nIn [3]: fast_tokenizer.encode(input_text)\r\nOut[3]: [1, 8931]\r\n``` \r\nMake sure you have the latest version of tokenizers maybe? ",
"This issue has been automatically marke... | 1,689 | 1,693 | 1,693 | NONE | null | ### System Info
- `transformers` version: 4.30.2
- Platform: macOS-10.16-x86_64-i386-64bit
- Python version: 3.8.15
- Huggingface_hub version: 0.16.4
- Safetensors version: 0.3.1
### Who can help?
@ArthurZucker
### Information
- [X] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] A... | {
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https://api.github.com/repos/huggingface/transformers/issues/24917 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24917/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24917/comments | https://api.github.com/repos/huggingface/transformers/issues/24917/events | https://github.com/huggingface/transformers/pull/24917 | 1,811,800,495 | PR_kwDOCUB6oc5V4mnn | 24,917 | ๐ [i18n-KO] Translated `perf_infer_gpu_one.md` to Korean | {
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# What does this PR do?
Translated the `perf_infer_gpu_one.md` file of the documentation to Korean.
Thank you in advance for your review.
Part of https://github.com/huggingface/transformers/issues/20179
## Before reviewing
- [... | {
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https://api.github.com/repos/huggingface/transformers/issues/24916 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24916/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24916/comments | https://api.github.com/repos/huggingface/transformers/issues/24916/events | https://github.com/huggingface/transformers/pull/24916 | 1,811,733,921 | PR_kwDOCUB6oc5V4X6U | 24,916 | Fix `main_input_name` in `src/transformers/keras_callbacks.py` | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@Rocketknight1 Just for you to have a final comment when you are back ๐ ",
"Also LGTM, thanks for catching the bug!"
] | 1,689 | 1,690 | 1,689 | COLLABORATOR | null | # What does this PR do?
Fix #24872 | {
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https://api.github.com/repos/huggingface/transformers/issues/24915 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24915/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24915/comments | https://api.github.com/repos/huggingface/transformers/issues/24915/events | https://github.com/huggingface/transformers/issues/24915 | 1,811,725,683 | I_kwDOCUB6oc5r_L1z | 24,915 | ViTPose: Simple Vision Transformer Baselines for Human Pose Estimation | {
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"Glad you get something different to work on ๐ ๐ ๐ ",
"Hi, @amyeroberts, I don't know if you are working on this but if not I would be more than happy to take it up.",
"Oh, this is the issue page, not the PR page!",
"@shauray8 You're very welcome to take this up! :) \r\n\r\nThis model presents a new task f... | 1,689 | 1,702 | null | COLLABORATOR | null | ### Model description
ViTPose is used in 2D human pose estimation, a subset of the keypoint detection task #24044
It provides a simple baseline for vision transformer-based human pose estimation. It utilises a pretrained vision transformer backbone to extract features and a simple decoder head to process the extrac... | {
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https://api.github.com/repos/huggingface/transformers/issues/24914 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24914/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24914/comments | https://api.github.com/repos/huggingface/transformers/issues/24914/events | https://github.com/huggingface/transformers/pull/24914 | 1,811,661,461 | PR_kwDOCUB6oc5V4H4J | 24,914 | Fix `test_model_parallelism` for `FalconModel` | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,689 | 1,689 | 1,689 | COLLABORATOR | null | # What does this PR do?
Just a device issue (when running on multi-gpu env.) | {
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https://api.github.com/repos/huggingface/transformers/issues/24913 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24913/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24913/comments | https://api.github.com/repos/huggingface/transformers/issues/24913/events | https://github.com/huggingface/transformers/pull/24913 | 1,811,633,793 | PR_kwDOCUB6oc5V4Bru | 24,913 | Remove unsupported and confusing "OpenLlama" architecture | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_24913). All of your documentation changes will be reflected on that endpoint.",
"No we cannot removing the architecture entirely that would be a breaking change in the library that would be unprecedented and against our phi... | 1,689 | 1,689 | 1,689 | MEMBER | null | This reverts commit c2c99dc7ef5edab8f7674a1eb00cf6ac6996fd0f from #22795.
Hello!
# What does this PR do?
Removes [Open-Llama](https://huggingface.co/docs/transformers/model_doc/open-llama), a confusingly named and unused model architecture from which all documentation links throw 404 errors.
## Motivation
... | {
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https://api.github.com/repos/huggingface/transformers/issues/24912 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24912/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24912/comments | https://api.github.com/repos/huggingface/transformers/issues/24912/events | https://github.com/huggingface/transformers/issues/24912 | 1,811,536,692 | I_kwDOCUB6oc5r-ds0 | 24,912 | blip2 always decode eos_token first | {
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"cc @younesbelkada ",
"Hi @TobiasLee \r\nThanks for the issue. I think this is expected, the way Blip2 has been trained always prepends the BOS (Beginning of Sentence) token to the input text due to the underlying tokenizer they use. If conditional text is added to the input, the tokenizer should normally take ca... | 1,689 | 1,693 | 1,693 | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.31.0
- Platform: Linux-5.19.0-41-generic-x86_64-with-glibc2.31
- Python version: 3.9.16
- Huggingface_hub version: 0.14.1
- Safetensors version: 0.3.1
- Accelerate version: 0.21.0
- Accelerate config: not found
- PyTorch version (GPU?): 2.0.0 (False)
- Tensorflo... | {
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https://api.github.com/repos/huggingface/transformers/issues/24911 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24911/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24911/comments | https://api.github.com/repos/huggingface/transformers/issues/24911/events | https://github.com/huggingface/transformers/pull/24911 | 1,811,486,040 | PR_kwDOCUB6oc5V3hBZ | 24,911 | ๐ [i18n-KO] Translated `perf_train_cpu.md` to Korean | {
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"๋ฆฌ๋ทฐ ์ฌํญ ์์ต๋๋ค!",
"_The documentation is not available anymore as the PR was closed or merged._",
"์๊ณ ๋ง์ผ์
จ์ต๋๋ค!!",
"์ ๋ @0525hhgus ๋์ ๋๊ธ ๋ถ๋ถ ์ธ์๋ ๋ณ๋์ ๋ฆฌ๋ทฐ ์ฌํญ ์์ต๋๋ค :)"
] | 1,689 | 1,690 | 1,690 | CONTRIBUTOR | null | <!-- PR์ ์ ๋ชฉ์ "๐ [i18n-KO] Translated `<your_file>.md` to Korean" ์ผ๋ก ๋ถํ๋๋ฆฝ๋๋ค -->
# What does this PR do?
Translated the `perf_train_cpu.md` file of the documentation to Korean ๐
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/24910 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24910/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24910/comments | https://api.github.com/repos/huggingface/transformers/issues/24910/events | https://github.com/huggingface/transformers/issues/24910 | 1,811,410,255 | I_kwDOCUB6oc5r9-1P | 24,910 | labels should not be same as input_ids for casual language model | {
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"@thomas010 did you mean to provide the same code for `result['input_ids']` and `result['labels']`?\r\n\r\nI don't know if this helps you, but in standard causal language modeling, the input sequence and labels _should_ be the same. Suppose the sequence is <token_A>, <token_B>, <token_C>. In step 0, we want to pr... | 1,689 | 1,689 | 1,689 | NONE | null | ### System Info
in the example for casual language mode pretraing (examples/pytorch/language-modeling/run_clm.py: line 490),
labels in 'result' should not be the same as input_ids, but maybe as follows
````
input_ids = result["input_ids"]
result["input_ids"] = input_ids[:, :-1].contiguous()
result["labels"]... | {
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https://api.github.com/repos/huggingface/transformers/issues/24909 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24909/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24909/comments | https://api.github.com/repos/huggingface/transformers/issues/24909/events | https://github.com/huggingface/transformers/pull/24909 | 1,811,407,194 | PR_kwDOCUB6oc5V3Pz1 | 24,909 | Fix minor llama2.md model doc typos | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,689 | 1,689 | 1,689 | CONTRIBUTOR | null | Fixes typos in the llama2 model doc | {
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https://api.github.com/repos/huggingface/transformers/issues/24908 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24908/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24908/comments | https://api.github.com/repos/huggingface/transformers/issues/24908/events | https://github.com/huggingface/transformers/pull/24908 | 1,811,381,247 | PR_kwDOCUB6oc5V3KOM | 24,908 | [`Llama2`] Add support for Llama 2: Fix convert_llama_weights_to_hf.โฆ | {
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"What does `f` mean in model size? Does it mean `fine-tuned`?",
"I understand that \"f\" should be modified to \"-CHAT\" to support the CHAT\r\nmodel. I have made further modifications to the relevant code, replacing\r\nall instances of \"f\" with \"-CHAT\". Could you please reload the same commit\r\nfor me?\r\n\... | 1,689 | 1,689 | 1,689 | NONE | null | โฆpy support 7Bf
# What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/24907 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24907/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24907/comments | https://api.github.com/repos/huggingface/transformers/issues/24907/events | https://github.com/huggingface/transformers/pull/24907 | 1,811,284,856 | PR_kwDOCUB6oc5V21fw | 24,907 | Fixed issue where ACCELERATE_USE_CPU="False" results in bool(True) | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_24907). All of your documentation changes will be reflected on that endpoint."
] | 1,689 | 1,689 | 1,689 | CONTRIBUTOR | null | - This results in cpu mode on Apple Silicon mps
# What does this PR do?
Fixes a bug which prevents device("mps") working if `ACCELERATE_USE_CPU` is set to anything including "False".
<!--
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https://api.github.com/repos/huggingface/transformers/issues/24906 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24906/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24906/comments | https://api.github.com/repos/huggingface/transformers/issues/24906/events | https://github.com/huggingface/transformers/pull/24906 | 1,811,279,959 | PR_kwDOCUB6oc5V20bU | 24,906 | [`Llama2`] replace `self.pretraining_tp` with `self.config.pretraining_tp` | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"I'm curious, if we just set `pretraining_tp` to 1 in `config.json`, does it mean we disable it? Because when I see the model, there is some `if-else condition` checking the value of `config.pretraining_tp > 1`.",
"@fahadh4ilyas the... | 1,689 | 1,689 | 1,689 | CONTRIBUTOR | null | # What does this PR do?
Llama-2 (and also in the past Bloom) has introduced a new attribute in the config file `pretraining_tp` to mimic the behaviour of the original model at inference. Therefore, inside some layers the TP paradigm is "reproduced" by manually simulating the TP paradigm, see for example: https://git... | {
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https://api.github.com/repos/huggingface/transformers/issues/24905 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24905/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24905/comments | https://api.github.com/repos/huggingface/transformers/issues/24905/events | https://github.com/huggingface/transformers/issues/24905 | 1,811,256,327 | I_kwDOCUB6oc5r9ZQH | 24,905 | RuntimeError: CUDA error: CUBLAS_STATUS_NOT_INITIALIZED when calling `cublasCreate(handle)` | {
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"This usually means there is something wrong with your setup install.",
"> \r\n\r\nLike version mismatch?",
"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 n... | 1,689 | 1,693 | 1,693 | NONE | null | ### System Info
torch version: 1.12.0+cu113
CUDA: 11.4
`RuntimeError: CUDA error: CUBLAS_STATUS_NOT_INITIALIZED when calling cublasCreate(handle)`
I am getting this error when trying to run using CUDA. Works fine when running in CPU.
### Who can help?
_No response_
### Information
- [ ] The official... | {
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https://api.github.com/repos/huggingface/transformers/issues/24904 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24904/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24904/comments | https://api.github.com/repos/huggingface/transformers/issues/24904/events | https://github.com/huggingface/transformers/pull/24904 | 1,811,241,975 | PR_kwDOCUB6oc5V2sGn | 24,904 | ๐ [i18n-KO] Translated `tf_xla.md` to Korean | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"๋ฆฌ๋ทฐ ์ฌํญ ์์ต๋๋ค!",
"๊ผผ๊ผผํ ๋ฒ์ญ ์ ๋ณด์์ต๋๋ค! ์๊ณ ๋ง์ผ์
จ์ต๋๋ค!"
] | 1,689 | 1,690 | 1,690 | CONTRIBUTOR | null | <!-- PR์ ์ ๋ชฉ์ "๐ [i18n-KO] Translated `<your_file>.md` to Korean" ์ผ๋ก ๋ถํ๋๋ฆฝ๋๋ค! -->
# What does this PR do?
Translated the `tf_xla.md` file of the documentation to Korean.
Thank you in advance for your review.
Part of https://github.com/huggingface/transformers/issues/20179
## Before reviewing
- [x] Check for... | {
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https://api.github.com/repos/huggingface/transformers/issues/24903 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24903/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24903/comments | https://api.github.com/repos/huggingface/transformers/issues/24903/events | https://github.com/huggingface/transformers/issues/24903 | 1,811,232,211 | I_kwDOCUB6oc5r9TXT | 24,903 | Xformers is not installed correctly. | {
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"It looks like the `pipeline` is back to importing every model (this message comes from trying to access an unrelated model). I'll have a look later this week. You can ignore that warning in the meantime, it's irrelevant.",
"Should be fixed by the PR linked above.",
"same issue for me on this basic example:\r\n... | 1,689 | 1,692 | 1,689 | NONE | null | ### System Info
- `transformers` version: 4.30.2
- Platform: Linux-5.15.0-76-generic-x86_64-with-glibc2.35
- Python version: 3.10.6
- Huggingface_hub version: 0.16.4
- Safetensors version: 0.3.1
- PyTorch version (GPU?): 2.0.1+cu117 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/G... | {
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https://api.github.com/repos/huggingface/transformers/issues/24902 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24902/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24902/comments | https://api.github.com/repos/huggingface/transformers/issues/24902/events | https://github.com/huggingface/transformers/pull/24902 | 1,811,167,268 | PR_kwDOCUB6oc5V2b-J | 24,902 | fix typo in BARK_PRETRAINED_MODEL_ARCHIVE_LIST | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,689 | 1,689 | 1,689 | CONTRIBUTOR | null |
# What does this PR do?
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"_The documentation is not available anymore as the PR was closed or merged._",
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] | 1,689 | 1,690 | 1,690 | CONTRIBUTOR | null | # What does this PR do?
Translated the `testing.md` file of the documentation to Korean.
Thank you in advance for your review.
Part of https://github.com/huggingface/transformers/issues/20179
## Before reviewing
- [x] Check for missing / redundant translations (๋ฒ์ญ ๋๋ฝ/์ค๋ณต ๊ฒ์ฌ)
- [x] Grammar Check (๋ง์ถค๋ฒ ๊ฒ์ฌ)
- ... | {
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https://api.github.com/repos/huggingface/transformers/issues/24899 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24899/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24899/comments | https://api.github.com/repos/huggingface/transformers/issues/24899/events | https://github.com/huggingface/transformers/issues/24899 | 1,810,996,642 | I_kwDOCUB6oc5r8Z2i | 24,899 | LLAMA 2 HF tokenizer len is 32001 | {
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"The actual config says that `pad_token_id=0` - so I assume this is correct?\r\n\r\nWhat is interesting is that id `32000` maps to a token `'<pad>'` while the original vocab does not contain this token:\r\nhttps://huggingface.co/meta-llama/Llama-2-7b-hf/raw/main/tokenizer.json\r\n\r\nIt seems this is being added so... | 1,689 | 1,690 | 1,689 | NONE | null | ### System Info
Installed from source (4.32.0.dev0)
```
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("meta-llama/Llama-2-13b-hf")
model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-13b-hf")
print(len(tokenizer)) #32001
print(model.co... | {
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"cc @ArthurZucker ",
"Hey! Thanks for reporting! I remember working on a bug where NLLB-MoE was not being torch compiled because None values were returned. Will push a fix! \r\nGlad to see that Nllb-MoE is being used ๐ค "
] | 1,689 | 1,692 | 1,692 | NONE | null | ### System Info
- `transformers` version: 4.29.2
- Platform: Linux-5.15.0-69-generic-x86_64-with-glibc2.17
- Python version: 3.8.17
- Huggingface_hub version: 0.15.1
- Safetensors version: not installed
- PyTorch version (GPU?): 2.0.1 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/G... | {
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"cc @kashif ",
"thanks @sgugger and @rpanackal let me check",
"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:... | 1,689 | 1,693 | 1,693 | NONE | null | https://github.com/huggingface/transformers/blame/476be08c4aa96f8c1cae4200d2677bbe8f12cf80/src/transformers/models/autoformer/modeling_autoformer.py#L619 | {
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https://api.github.com/repos/huggingface/transformers/issues/24896 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24896/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24896/comments | https://api.github.com/repos/huggingface/transformers/issues/24896/events | https://github.com/huggingface/transformers/pull/24896 | 1,810,848,257 | PR_kwDOCUB6oc5V1XN_ | 24,896 | ๐ [i18n-KO] Translated `perf_train_tpu_tf.md` to Korean | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"I closed the PR because the document was not generated correctly."
] | 1,689 | 1,691 | 1,691 | CONTRIBUTOR | null | <!-- PR์ ์ ๋ชฉ์ "๐ [i18n-KO] Translated `<your_file>.md` to Korean" ์ผ๋ก ๋ถํ๋๋ฆฝ๋๋ค -->
# What does this PR do?
Translated the `perf_train_tpu_tf.md` 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/24895 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24895/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24895/comments | https://api.github.com/repos/huggingface/transformers/issues/24895/events | https://github.com/huggingface/transformers/pull/24895 | 1,810,780,275 | PR_kwDOCUB6oc5V1IIO | 24,895 | Update tested versions in READMEs | {
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"@sgugger Thanks for reviewing! I've made it non-draft so it can be merged, as requested.\r\n\r\nBefore I saw your comment, I noticed that the listed TensorFlow versions were also older than the minimum `transformers` currently supports and added a commit to deal with that. I'm not sure if that newest commit was pa... | 1,689 | 1,689 | 1,689 | CONTRIBUTOR | null | # What does this PR do?
This updates the top-level readme files say the project has been tested with Python 3.8+ (instead of 3.7+) and PyTorch 1.10+ (instead of 1.9+). Versions prior to those are no longer supported as of [v4.31.0](https://github.com/huggingface/transformers/releases/tag/v4.31.0). It also updates so... | {
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"Thanks for your PR! I think this is more suited to our code on the Hub API as it doesn't apply to the base LLaMA checkpoints. cc @ArthurZucker if you have a different opinion.",
"Hi @sgugger, \r\n\r\nAppreciate your prompt reply. However I think I missed something. What do you mean by it doesn't apply to the bas... | 1,689 | 1,692 | 1,692 | NONE | null | # What does this PR do?
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"_The documentation is not available anymore as the PR was closed or merged._",
"LGTM! Thanks for diving into this",
"Thanks for resolving this so quickly @ydshieh!"
] | 1,689 | 1,689 | 1,689 | COLLABORATOR | null | # What does this PR do?
Fix #24873
For example, we can pass `use_cache=True` (or set this in config) to `BartForSequenceClassification` and it will return `past_key_values` (although not useful to the task).
This is to respond to #24873, despite the memory issue reported there is not 100% for sure yet.
Howev... | {
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"Please note that I force pushed the branch as I had to fix the linter (and took the advantage to sync my fork).\r\n\r\nIn case someone else runs into the same problem (and by some planetary alignment :ringed_planet: :earth_africa: :new_moon: lands in this tiny comment), it took me a while to figure out the issue ... | 1,689 | 1,690 | 1,690 | CONTRIBUTOR | null | # What does this PR do?
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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_24891). All of your documentation changes will be reflected on that endpoint.",
"Somehow this commit will easily lead the llama model to be o... | 1,689 | 1,692 | 1,689 | COLLABORATOR | null | # What does this PR do?
Add Support for Llama2 ! ๐ฅ ๐ฅ | {
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] | 1,689 | 1,689 | 1,689 | CONTRIBUTOR | null | # What does this PR do?
Checks if `ACCELERATE_USE_CPU` is enabled to ensure trainer parts get set properly if so (and if `--use_cpu` isn't used)
Fixes # (issue)
## 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... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Hi thanks for this @younesbelkada โค๏ธ \r\n\r\nHowever, this is not enough, you have to add something like \r\n\r\nhttps://github.com/huggingface/transformers/blob/3ec10e6c76362191b61260300fe1d6173a8dd7e1/src/transformers/models/swin/m... | 1,689 | 1,689 | 1,689 | CONTRIBUTOR | null | As suggested by @ydshieh offline and similarly as https://github.com/huggingface/transformers/pull/22893
In fact, there is no reason to call the output logits `decoder_logits`, as they always come from the decoder
cc @sgugger @ydshieh
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] | 1,689 | 1,689 | 1,689 | CONTRIBUTOR | null | # What does this PR do?
FIxes: https://github.com/huggingface/transformers/issues/24884
To reproduce:
```python
from transformers import InstructBlipProcessor, InstructBlipForConditionalGeneration
import torch
from PIL import Image
import requests
device = "cuda" if torch.cuda.is_available() else "cpu"
... | {
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] | 1,689 | 1,689 | 1,689 | CONTRIBUTOR | null | <!-- PR์ ์ ๋ชฉ์ "๐ [i18n-KO] Translated `<your_file>.md` to Korean" ์ผ๋ก ๋ถํ๋๋ฆฝ๋๋ค -->
# What does this PR do?
Translated the `perf_train_tpu_tf.md` file of the documentation to Korean ๐
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._"
] | 1,689 | 1,689 | 1,689 | COLLABORATOR | null | # What does this PR do?
Keep the CircleCI cache running on `main` branch not affected by other branches/PR.
Reading the following by keeping in mind:
- @lhoestq created a branch yesterday using `datasets 2.13.2.dev0`
- @sgugger changed `setup.py` yesterday in the commit `4.32.0.dev0`
- the cache used by @lh... | {
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https://api.github.com/repos/huggingface/transformers/issues/24885 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24885/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24885/comments | https://api.github.com/repos/huggingface/transformers/issues/24885/events | https://github.com/huggingface/transformers/pull/24885 | 1,809,971,855 | PR_kwDOCUB6oc5VycxT | 24,885 | Disable ipex env var if false | {
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] | 1,689 | 1,689 | 1,689 | CONTRIBUTOR | null | # What does this PR do?
Properly sets the Accelerate env variable if apex is set to False (the default in training args)
Fixes # (issue)
Solves https://github.com/huggingface/transformers/issues/24871
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks... | {
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"Hi @lukealexmiller \r\nThanks for reporting, will look into it ASAP. ",
"Hi @lukealexmiller \r\nAgain, thanks for reporting, I made a patch to support 8bit / 4bit correctly for Flan-t5 models in https://github.com/huggingface/transformers/pull/24888 , before it gets merged you can download it with the following:... | 1,689 | 1,690 | 1,689 | NONE | null | ### System Info
- `transformers` version: 4.32.0.dev0
- Platform: Linux-4.14.314-238.539.amzn2.x86_64-x86_64-with-glibc2.31
- Python version: 3.10.9
- Huggingface_hub version: 0.16.4
- Safetensors version: 0.3.1
- Accelerate version: 0.22.0.dev0
- Accelerate config: - compute_environment: LOCAL_MACHINE
- dist... | {
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https://api.github.com/repos/huggingface/transformers/issues/24883 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24883/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24883/comments | https://api.github.com/repos/huggingface/transformers/issues/24883/events | https://github.com/huggingface/transformers/pull/24883 | 1,809,932,404 | PR_kwDOCUB6oc5VyUIx | 24,883 | ๐[i18n-KO] Translated performance.md to Korean | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"๋ฆฌ๋ทฐ ์ฌํญ ์์ต๋๋ค!"
] | 1,689 | 1,690 | 1,690 | CONTRIBUTOR | null | <!-- PR์ ์ ๋ชฉ์ "๐ [i18n-KO] Translated `<your_file>.md` to Korean" ์ผ๋ก ๋ถํ๋๋ฆฝ๋๋ค! -->
# What does this PR do?
Translated the `performance.md` file of the documentation to Korean.
Thank you in advance for your review.
Part of https://github.com/huggingface/transformers/issues/20179
## Before reviewing
- [x] Chec... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,689 | 1,689 | 1,689 | COLLABORATOR | null | # What does this PR do?
This test was failing due to a dev version of `datasets` (created in another branch) being used in `main`. It's now resolved.
Thank you @lhoestq for the investigation. | {
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"Could you review this PR? ๐\r\n@sgugger, @ArthurZucker, @eunseojo"
] | 1,689 | 1,690 | 1,690 | CONTRIBUTOR | null | # What does this PR do?
Translated the `transformers_agents.md` file of the documentation to Korean.
Thank you in advance for your review.
Part of https://github.com/huggingface/transformers/issues/20179
## Before reviewing
- [x] Check for missing / redundant translations (๋ฒ์ญ ๋๋ฝ/์ค๋ณต ๊ฒ์ฌ)
- [x] Grammar Check ... | {
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Fix the cache of site-package is loaded in the step of pip cache loading.
See comment in the change. | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,689 | 1,694 | 1,689 | CONTRIBUTOR | null | ### What does this PR do?
Currently, Accelerate has supported ascend npu([see](https://github.com/huggingface/accelerate/pull/1676)).
This PR enables users to leverage the ascend npu for training and inference of ๐ค Transformers models.
For example, you can run the official glue text-classification task using ascen... | {
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https://api.github.com/repos/huggingface/transformers/issues/24878 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24878/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24878/comments | https://api.github.com/repos/huggingface/transformers/issues/24878/events | https://github.com/huggingface/transformers/pull/24878 | 1,809,519,511 | PR_kwDOCUB6oc5Vw5Mz | 24,878 | [`Docs`] Clarify 4bit docs | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,689 | 1,689 | 1,689 | CONTRIBUTOR | null | # What does this PR do?
As discussed internally with @lewtun , this PR refactors a bit the 4bit docs by adding more clarifications about best practices and giving relevant pointers to users about advanced usage.
Also fixed the requirements instructions as 4bit is now part of the latest release
cc @sgugger
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https://api.github.com/repos/huggingface/transformers/issues/24877 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24877/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24877/comments | https://api.github.com/repos/huggingface/transformers/issues/24877/events | https://github.com/huggingface/transformers/pull/24877 | 1,809,223,551 | PR_kwDOCUB6oc5Vv4Qk | 24,877 | check if eval dataset is dict | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,689 | 1,689 | 1,689 | CONTRIBUTOR | null | # What does this PR do?
Simply checks if `eval_dataset` is a dict and if it is, run a sequential evaluation on each evaluation dataset.
<!--
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 su... | {
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https://api.github.com/repos/huggingface/transformers/issues/24876 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24876/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24876/comments | https://api.github.com/repos/huggingface/transformers/issues/24876/events | https://github.com/huggingface/transformers/issues/24876 | 1,809,105,070 | I_kwDOCUB6oc5r1MCu | 24,876 | Model saving have dimension issue while using deepspeed stage 3 with multi node for larger models | {
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"@dittops \r\nTo be fair, it was said that it was resolved, but we have no means of validating that, since the actual code was not shared. ",
"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\nP... | 1,689 | 1,693 | 1,693 | NONE | null | ### System Info
Python 3.8.10
transformers 4.30.2
accelerate 0.20.3
deepspeed 0.9.5
### Who can help?
@pacman100
### Information
- [ ] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task o... | {
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https://api.github.com/repos/huggingface/transformers/issues/24875 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24875/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24875/comments | https://api.github.com/repos/huggingface/transformers/issues/24875/events | https://github.com/huggingface/transformers/pull/24875 | 1,808,989,886 | PR_kwDOCUB6oc5VvFnl | 24,875 | Remove jnp.DeviceArray since it is deprecated. | {
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"cc @sanchit-gandhi ",
"@sanchit-gandhi This pull request should be prioritised since the affected Flax models are currently not usable at all.",
"@mariecwhite Thanks for opening this PR! Running `make style` and pushing the changes will resolve the code quality CI checks",
"Hey @mariecwhite - it seems there ... | 1,689 | 1,691 | 1,691 | CONTRIBUTOR | null | The latest version of JAX deprecates jax.numpy.DeviceArray. When using this version with Transformers, we get this error when instantiating FlaxBertModel: `module 'jax.numpy' has no attribute 'DeviceArray'` | {
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https://api.github.com/repos/huggingface/transformers/issues/24874 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24874/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24874/comments | https://api.github.com/repos/huggingface/transformers/issues/24874/events | https://github.com/huggingface/transformers/issues/24874 | 1,808,983,458 | I_kwDOCUB6oc5r0uWi | 24,874 | NotImplementedError: offload_to_cpu=True and NO_SHARD is not supported yet | {
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"Can you please give us a code reproducer of the issue? cc @pacman100 ",
"> Can you please give us a code reproducer of the issue? cc @pacman100\r\n\r\nThanks. Sure, here is the code:\r\n\r\n`torchrun train.py \\\r\n --model_name_or_path openlm-research/open_llama_3b \\\r\n --data_path /path/to/data \\\r\n... | 1,689 | 1,689 | 1,689 | NONE | null | ### System Info
I was using fsdp with settings "full_shard auto_wrap" on a A100 GPU. The training went well but was interupted when saving the checkpoints. The error stated `NotImplementedError: offload_to_cpu=True and NO_SHARD is not supported yet`. I understand that I am using a single GPU so fsdp defaluts to NO_SHA... | {
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https://api.github.com/repos/huggingface/transformers/issues/24873 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24873/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24873/comments | https://api.github.com/repos/huggingface/transformers/issues/24873/events | https://github.com/huggingface/transformers/issues/24873 | 1,808,918,347 | I_kwDOCUB6oc5r0edL | 24,873 | ZeroShotClassificationPipeline has large memory spikes when using a lot of candidate_labels | {
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"Hi @rsmith49 \r\n\r\nThank you for opening this issue ๐ค . I will take a look!",
"> could you confirm that the issue happens only when the results (of all 1500 inference calls) are saved? (I think it's yes?)\r\n\r\nI have been running in a jupyter notebook, which I think does save the results from calling the pi... | 1,689 | 1,689 | 1,689 | NONE | null | ### System Info
```
- `transformers` version: 4.27.4
- Platform: Linux-5.4.0-1103-aws-x86_64-with-glibc2.27
- Python version: 3.8.0
- Huggingface_hub version: 0.16.4
- PyTorch version (GPU?): 1.8.1+cu102 (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/24872 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24872/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24872/comments | https://api.github.com/repos/huggingface/transformers/issues/24872/events | https://github.com/huggingface/transformers/issues/24872 | 1,808,895,688 | I_kwDOCUB6oc5r0Y7I | 24,872 | `main_input_name` is None if `predict_with_generate` in keras_callbacks.py for encoder-decoder(Bert-Bert) TF models | {
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"Thank you for reproting @saichandrapandraju ๐ค \r\n\r\ncc @Rocketknight1 (when he is back, or I can take a look after finishing some other tasks ) ",
"Sure @ydshieh , once this is verified to be valid, I can create a PR ๐"
] | 1,689 | 1,689 | 1,689 | NONE | null | ### System Info
- `transformers` version: 4.30.2
- Platform: Linux-5.15.109+-x86_64-with-glibc2.31
- Python version: 3.10.12
- Huggingface_hub version: 0.16.4
- Safetensors version: 0.3.1
- PyTorch version (GPU?): 2.0.1+cu118 (True)
- Tensorflow version (GPU?): 2.12.0 (True)
- Flax version (CPU?/GPU?/TPU?): 0.7... | {
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https://api.github.com/repos/huggingface/transformers/issues/24871 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24871/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24871/comments | https://api.github.com/repos/huggingface/transformers/issues/24871/events | https://github.com/huggingface/transformers/issues/24871 | 1,808,842,241 | I_kwDOCUB6oc5r0L4B | 24,871 | Trainer is always using IPEX, even when use_ipex=False | {
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"cc @muellerzr (right?)",
"This is a problem that should be solved in Accelerate, I'll work on a PR today with this. Thanks for the flag!\r\n\r\nEdit: actually this can be solved in the training args, PR coming shortly",
"@dmsuehir can you try running again with `pip install git+https://github.com/huggingface/t... | 1,689 | 1,689 | 1,689 | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.32.0.dev0
- Platform: Linux-5.15.0-75-generic-x86_64-with-glibc2.35
- Python version: 3.10.6
- Huggingface_hub version: 0.16.4
- Safetensors version: 0.3.1
- Accelerate version: 0.21.0
- Accelerate config: not found
- PyTorch version (GPU?): 2.0.1+cu117 (False)
- Te... | {
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https://api.github.com/repos/huggingface/transformers/issues/24870 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24870/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24870/comments | https://api.github.com/repos/huggingface/transformers/issues/24870/events | https://github.com/huggingface/transformers/issues/24870 | 1,808,712,700 | I_kwDOCUB6oc5rzsP8 | 24,870 | Amazon Bedrock model as HfAgent | {
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"Hi @austinmw Thank you for this feature request.\r\n\r\nI am not sure however, cc my colleague @sgugger who knows much better on the Agent topic!\r\n\r\n",
"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 th... | 1,689 | 1,693 | 1,693 | NONE | null | ### Feature request
I'd like to be able to use Amazon Bedrock available models, for example Claude, as the HfAgent model.
### Motivation
Expanded model support
### Your contribution
Not sure currently. | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_24869). All of your documentation changes will be reflected on that endpoint.",
"์ํ๋์ด ๋ฆฌ๋ทฐ๋ฅผ ๊ผผ๊ผผํ๊ฒ ํด์ฃผ์
จ๋ค์!\r\nLGTM ๐",
"์๋
ํ์ธ์ @kj021 ๋, ํน์ ์๊ฐ์ด ๋์ค๋ ์์ ์์ ์ฌํญ๋ค์ ๋ฐ์ํด์ฃผ์๊ธธ ๋ฐ๋๋๋ค! ๊ฐ์ฌํฉ๋๋ค.",
"This issue has been automatically marked as... | 1,689 | 1,695 | 1,695 | CONTRIBUTOR | null | <!-- PR์ ์ ๋ชฉ์ "๐ [i18n-KO] Translated `<your_file>.md` to Korean" ์ผ๋ก ๋ถํ๋๋ฆฝ๋๋ค -->
# What does this PR do?
Translated the `<debugging>.md` 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/24868 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24868/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24868/comments | https://api.github.com/repos/huggingface/transformers/issues/24868/events | https://github.com/huggingface/transformers/pull/24868 | 1,808,545,572 | PR_kwDOCUB6oc5VtkKe | 24,868 | Remove `tests/onnx` | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,689 | 1,689 | 1,689 | COLLABORATOR | null | # What does this PR do?
Remove `tests/onnx`, as mentioned, as discussed
https://github.com/huggingface/transformers/pull/24800#issuecomment-1634822781
Note there are still some tests like `TFGPT2ModelTest::test_onnx_runtime_optimize` which are not removed in this PR. | {
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https://api.github.com/repos/huggingface/transformers/issues/24867 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24867/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24867/comments | https://api.github.com/repos/huggingface/transformers/issues/24867/events | https://github.com/huggingface/transformers/pull/24867 | 1,808,458,045 | PR_kwDOCUB6oc5VtUGi | 24,867 | Skip failing `ZeroShotAudioClassificationPipelineTests::test_small_model_pt` for now | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,689 | 1,689 | 1,689 | COLLABORATOR | null | # What does this PR do?
Skip failing `ZeroShotAudioClassificationPipelineTests::test_small_model_pt` for now.
see [failing job](https://app.circleci.com/pipelines/github/huggingface/transformers/68367/workflows/0d616969-381a-4ce2-96f9-ec83b259df75/jobs/856192)
likely a `datasets` issue | {
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https://api.github.com/repos/huggingface/transformers/issues/24866 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24866/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24866/comments | https://api.github.com/repos/huggingface/transformers/issues/24866/events | https://github.com/huggingface/transformers/issues/24866 | 1,808,402,563 | I_kwDOCUB6oc5rygiD | 24,866 | ValueError: operands could not be broadcast together with shapes (60,4) (24,2,60,16,1024,64) | {
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"You should use the [forums](https://discuss.huggingface.co/) to debug your code as we keep issues for feature requests and bugs in the library only. Here it seems your `compute_metrics` function does not take the logits from the result of the model, which contains two arrays at least (the logits and some kind of h... | 1,689 | 1,691 | 1,691 | NONE | null | I am trying to fine-tune a model using the trainer API but I am getting this error:
I have looked online and I can't find anything similar to this, at least related to transformers and NPL.
here is the co... | {
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https://api.github.com/repos/huggingface/transformers/issues/24865 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24865/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24865/comments | https://api.github.com/repos/huggingface/transformers/issues/24865/events | https://github.com/huggingface/transformers/pull/24865 | 1,808,357,147 | PR_kwDOCUB6oc5Vs9mG | 24,865 | Skip Add model like job | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,689 | 1,689 | 1,689 | COLLABORATOR | null | # What does this PR do?
The Add model like job has been failing for a mysterious reason since this morning. I suggest skipping it for now and re-enabling it once it is fixed. | {
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https://api.github.com/repos/huggingface/transformers/issues/24864 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24864/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24864/comments | https://api.github.com/repos/huggingface/transformers/issues/24864/events | https://github.com/huggingface/transformers/pull/24864 | 1,808,284,952 | PR_kwDOCUB6oc5VstnY | 24,864 | Fix the fetch of all example tests | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_24864). All of your documentation changes will be reflected on that endpoint."
] | 1,689 | 1,689 | 1,689 | COLLABORATOR | null | # What does this PR do?
I noticed on recent PRs that when all tests are fetched, the example tests are not run. Upon closer inspection, it's because the test for `"all"` in the `test_fetcher` compares a list instead of a string. This PR addresses that. | {
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https://api.github.com/repos/huggingface/transformers/issues/24863 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24863/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24863/comments | https://api.github.com/repos/huggingface/transformers/issues/24863/events | https://github.com/huggingface/transformers/pull/24863 | 1,808,215,493 | PR_kwDOCUB6oc5VseMW | 24,863 | deprecate no_cuda | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,689 | 1,689 | 1,689 | MEMBER | null | # What does this PR do?
This PR deprecates the `no_cuda` arg because it is confusing for Mac users as their models get dispatched to `mps` device when `no_cuda=False`. If they want to train the model on cpu, they need to set `no_cuda=True` which is not intuitive. We rename it `use_cpu` instead.
Related issue #2469... | {
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https://api.github.com/repos/huggingface/transformers/issues/24862 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24862/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24862/comments | https://api.github.com/repos/huggingface/transformers/issues/24862/events | https://github.com/huggingface/transformers/pull/24862 | 1,808,192,854 | PR_kwDOCUB6oc5VsZJ0 | 24,862 | Fix token pass | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_24862). All of your documentation changes will be reflected on that endpoint."
] | 1,689 | 1,689 | 1,689 | COLLABORATOR | null | # What does this PR do?
The `token` passed along in `PreTrainedTokenizerBase.from_pretrained` is passed along twice at the end: one time in the kwargs and one time as `use_auth_token`. This caused the speech examples to fail. | {
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https://api.github.com/repos/huggingface/transformers/issues/24861 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24861/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24861/comments | https://api.github.com/repos/huggingface/transformers/issues/24861/events | https://github.com/huggingface/transformers/pull/24861 | 1,808,082,595 | PR_kwDOCUB6oc5VsA7E | 24,861 | fix broken links in READMEs | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,689 | 1,689 | 1,689 | CONTRIBUTOR | null | # What does this PR do?
Currently foreign languages READMEs have broken links, this PR fixes it
cc @sgugger | {
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https://api.github.com/repos/huggingface/transformers/issues/24860 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24860/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24860/comments | https://api.github.com/repos/huggingface/transformers/issues/24860/events | https://github.com/huggingface/transformers/issues/24860 | 1,808,070,386 | I_kwDOCUB6oc5rxPby | 24,860 | Model parameters don't update with deepspeed integration | {
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"I apologize if this is actually a deepspeed issue rather than a deepspeed integration issueโI'm having trouble parsing which option is the case.",
"I think it is expected behaviour, because Zero3 partitions the model weights. You should use `deepspeed.zero.GatheredParameters` context manager or you can check the... | 1,689 | 1,699 | 1,689 | NONE | null | ### System Info
- `transformers` version: 4.31.0.dev0
- Platform: Linux-5.10.173-154.642.amzn2.x86_64-x86_64-with-glibc2.26
- Python version: 3.10.10
- Huggingface_hub version: 0.14.1
- Safetensors version: 0.3.1
- PyTorch version (GPU?): 2.0.0 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax ver... | {
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https://api.github.com/repos/huggingface/transformers/issues/24859 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24859/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24859/comments | https://api.github.com/repos/huggingface/transformers/issues/24859/events | https://github.com/huggingface/transformers/pull/24859 | 1,808,037,437 | PR_kwDOCUB6oc5Vr3Li | 24,859 | Add TAPEX to the list of deprecated models | {
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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_24859). All of your documentation changes will be reflected on that endpoint."
] | 1,689 | 1,689 | 1,689 | COLLABORATOR | null | # What does this PR do?
TAPEX was not in the list of deprecated models, leading to importing it with the auto API not working. I'll make a script to check the content of that constant is in sync with the content of the deprecated folder so this doesn't happen again.
Fixes #24852 | {
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"Just to make something reproducible, here we can see that the output of CLIPProcessor changes. I run the script\r\n\r\n```python\r\nfrom PIL import Image\r\nimport requests\r\n\r\nimport transformers\r\nfrom torchvision.transforms.functional import to_tensor\r\nfrom transformers import CLIPProcessor\r\n\r\nprocess... | 1,689 | 1,706 | 1,694 | NONE | null | ### System Info
- `transformers` version: 4.28.0
- Platform: Linux-5.10.107+-x86_64-with-glibc2.31
- Python version: 3.9.16
- Huggingface_hub version: 0.16.4
- Safetensors version: 0.3.1
- PyTorch version (GPU?): 1.11.0+cu113 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?)... | {
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https://api.github.com/repos/huggingface/transformers/issues/24856 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24856/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24856/comments | https://api.github.com/repos/huggingface/transformers/issues/24856/events | https://github.com/huggingface/transformers/pull/24856 | 1,807,729,261 | PR_kwDOCUB6oc5Vqzm7 | 24,856 | Replace assert statements with exceptions | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,689 | 1,689 | 1,689 | CONTRIBUTOR | null | # What does this PR do?
I have replaced the assert statements with appropriate exceptions in the directory `src/transformers/models/` with all models beginning with `a` and `b` letters.
Also, I have corrected error handling at places where except statements were handling AssertionError, even thought it was never ... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,689 | 1,689 | 1,689 | CONTRIBUTOR | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/24854 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24854/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24854/comments | https://api.github.com/repos/huggingface/transformers/issues/24854/events | https://github.com/huggingface/transformers/pull/24854 | 1,807,689,851 | PR_kwDOCUB6oc5Vqq2H | 24,854 | [BLIP-2] Improve conversion script | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"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 gu... | 1,689 | 1,694 | 1,694 | CONTRIBUTOR | null | # What does this PR do?
When investigating an issue reported [here](https://github.com/salesforce/LAVIS/issues/418), I've reran and improved BLIP-2's conversion script (based on InstructBLIP).
It's important to compare apples-to-apples, so I had to fork the LAVIS repo and make sure the original model is also run ... | {
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https://api.github.com/repos/huggingface/transformers/issues/24853 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24853/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24853/comments | https://api.github.com/repos/huggingface/transformers/issues/24853/events | https://github.com/huggingface/transformers/pull/24853 | 1,807,636,221 | PR_kwDOCUB6oc5VqfNM | 24,853 | Fix `is_vision_available` | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,689 | 1,689 | 1,689 | COLLABORATOR | null | # What does this PR do?
Fix #24845
After #23163, we need an extra check if we want to support the use of `pillow-simd`.
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https://api.github.com/repos/huggingface/transformers/issues/24852 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24852/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24852/comments | https://api.github.com/repos/huggingface/transformers/issues/24852/events | https://github.com/huggingface/transformers/issues/24852 | 1,807,473,617 | I_kwDOCUB6oc5ru9vR | 24,852 | Loading model microsoft/tapex-base-finetuned-wtq failed with error No module named 'transformers.models.tapex' | {
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"I'm unable to reproduce this on my side. Are you sure you are using the latest commit from main?",
"@sgugger \r\n\r\nYes. I installed it by:\r\n`pip install git+https://github.com/huggingface/transformers`\r\n\r\nand then in python REPL, run:\r\n```\r\nimport transformers\r\n\r\ntransformers.pipeline(\r\n ta... | 1,689 | 1,689 | 1,689 | NONE | null | ### System Info
OS: Ubuntu 22.04
Python 3.9
Packages installed:
```
pip install git+https://github.com/huggingface/transformers
pip install datasets huggingface_hub torch torchvision tensorflow accelerate librosa ffmpeg
```
### Who can help?
_No response_
### Information
- [ ] The official example script... | {
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https://api.github.com/repos/huggingface/transformers/issues/24851 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24851/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24851/comments | https://api.github.com/repos/huggingface/transformers/issues/24851/events | https://github.com/huggingface/transformers/issues/24851 | 1,807,310,941 | I_kwDOCUB6oc5ruWBd | 24,851 | save_pretrained 4bits/8bits model | {
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"cc @younesbelkada and @SunMarc ",
"hi @jameswu2014 \r\nThanks for the issue, what is the transformers version you are using? Can you try again with the latest version of `transformers`? Also can you share the full traceback and a reproducible handy snippet? Thanks",
"having the same issue, believe because ther... | 1,689 | 1,692 | 1,692 | NONE | null | ### System Info
I have a BitsAndBytes Quantization 4/8bitsmodels๏ผHow to save it? I invoked save_pretrained api๏ผhowever๏ผ I get error๏ผAttributeError: 'str' object has no attribute 'numel'ใ
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [ ] My own modified scripts
### Tasks
- [... | {
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https://api.github.com/repos/huggingface/transformers/issues/24850 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24850/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24850/comments | https://api.github.com/repos/huggingface/transformers/issues/24850/events | https://github.com/huggingface/transformers/issues/24850 | 1,807,293,745 | I_kwDOCUB6oc5ruR0x | 24,850 | I used a trainer to pretraining a BertForMaskedLM model, but the training loss always be zero | {
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"Please use the [forums](https://discuss.huggingface.co/) to debug such issues in your code :-)",
"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 th... | 1,689 | 1,692 | 1,692 | NONE | null | ### System Info
> transformers==4.28.0
### 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 or dataset (give details below)
### Reproduction... | {
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https://api.github.com/repos/huggingface/transformers/issues/24849 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24849/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24849/comments | https://api.github.com/repos/huggingface/transformers/issues/24849/events | https://github.com/huggingface/transformers/issues/24849 | 1,807,213,466 | I_kwDOCUB6oc5rt-Oa | 24,849 | unscale_() has already been called on this optimizer since the last update(). | {
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"cc @muellerzr and @pacman100 ",
"Hello @paxvinci, I am running following example and unable to reproduce the issue:\r\n\r\nCommand: \r\n```\r\ncd transformers\r\n\r\npython examples/pytorch/language-modeling/run_clm.py --model_name_or_path gpt2 --dataset_name wikitext --dataset_config_name wikitext-2... | 1,689 | 1,693 | 1,693 | NONE | null | Hi all,
I'm facing the error in the subject. I saw this problem have been already solved but I still have this. This is how I configured the parameters for the trainer.
```
trainer = transformers.Trainer(
model=model, # model is decapoda-research/llama-7b-hf
train_dataset=data["train"],
args=transfo... | {
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https://api.github.com/repos/huggingface/transformers/issues/24848 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24848/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24848/comments | https://api.github.com/repos/huggingface/transformers/issues/24848/events | https://github.com/huggingface/transformers/pull/24848 | 1,807,145,233 | PR_kwDOCUB6oc5VozPe | 24,848 | [DOCS] Example for `LogitsProcessor` class | {
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"You'll probably need to run `make fixup` before you next commit :)",
"Previously I was having some problems with `make fixup` but now it's done and reformatted, I really like how the Makefile is structured. ",
"@sgugger note: the weird part of the diff seems innocuous ๐ค ",
"_The documentation is not availab... | 1,689 | 1,689 | 1,689 | CONTRIBUTOR | null | # What does this PR do?
Added some doc string to `RepetitionPenaltyLogitsProcessor` with some examples as well.
@gante let me know if there's anything else I should add or remove from the docs.
Fixes # (issue)
#24783
## Before submitting
- [X] This PR fixes a typo or improves the docs (you can dismiss the oth... | {
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"cc @muellerzr ",
"This actually isn't possible currently, you need to set environmental variables such as `export WANDB_PROJECT my-project` ",
"@david-waterworth You can use the os module to set the environment variable or use what @muellerzr suggested\r\n```\r\nimport os\r\nos.environ[\"WANDB_PROJECT\"] = \"m... | 1,689 | 1,692 | 1,692 | NONE | null | ### System Info
- `transformers` version: 4.30.2
- Platform: Linux-5.15.0-76-generic-x86_64-with-glibc2.35
- Python version: 3.10.6
- Huggingface_hub version: 0.16.4
- Safetensors version: 0.3.1
- PyTorch version (GPU?): 2.0.1+cu117 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU... | {
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https://api.github.com/repos/huggingface/transformers/issues/24846 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24846/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24846/comments | https://api.github.com/repos/huggingface/transformers/issues/24846/events | https://github.com/huggingface/transformers/issues/24846 | 1,806,785,090 | I_kwDOCUB6oc5rsVpC | 24,846 | bloom add_prefix_space= True | {
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"cc @ArthurZucker and @younesbelkada ",
"@younesbelkada @ArthurZucker ",
"cc @ArthurZucker as he is more familiar than me regarding tokenizers",
"Hey! Thanks for opening this issue. This is half a `tokenizers` issue ( even if you save the tokenizer and modify the `tokenizer_config.json` to set `add_prefix_spa... | 1,689 | 1,692 | 1,692 | NONE | null | ### System Info
Hi dear officer
I use Bloom BloomTokenizerFast as a tokenizer. here is an issue.
Version =4.28.0
when I use BloomTokenizerFast, I find the add_prefix_space= True is not useful.
Here is the code.
`tokenizer = BloomTokenizerFast.from_pretrained("bigscience/bloom",add_prefix_space = True)
prin... | {
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https://api.github.com/repos/huggingface/transformers/issues/24845 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24845/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24845/comments | https://api.github.com/repos/huggingface/transformers/issues/24845/events | https://github.com/huggingface/transformers/issues/24845 | 1,806,554,291 | I_kwDOCUB6oc5rrdSz | 24,845 | is_vision_available() fails when using pillow-simd | {
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"Thanks for reporting! This might be because of the new way we test if packages are available. @ydshieh would you have some bandwidth to take a look at this?",
"Sure, will take a look today!"
] | 1,689 | 1,689 | 1,689 | NONE | null | ### System Info
- `transformers` version: 4.30.2
- Platform: Linux-5.11.0-1022-aws-x86_64-with-glibc2.29
- Python version: 3.8.10
- Huggingface_hub version: 0.15.1
- Safetensors version: 0.3.1
- PyTorch version (GPU?): 2.0.0+cu118 (True)
- Tensorflow version (GPU?): 2.8.0 (True)
- Flax version (CPU?/GPU?/TPU?):... | {
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"For the error log\r\n\r\n```bash\r\nx1000c0s6b0n0: File \"/home/users/industry/dso/lannliat/.conda/envs/debug/lib/python3.10/site-packages/deepspeed/runtime/engine.py\", line 1229, in _configure_basic_optimizer\r\nx1000c0s6b0n0: optimizer = DeepSpeedCPUAdam(model_parameters,\r\n```\r\n\r\nI believe it's best... | 1,689 | 1,692 | 1,692 | NONE | null | ### System Info
- `transformers` version: 4.31.0.dev0
- Platform: Linux-4.18.0-305.25.1.el8_4.x86_64-x86_64-with-glibc2.28
- Python version: 3.10.12
- Huggingface_hub version: 0.15.1
- Safetensors version: 0.3.1
- Accelerate version: 0.21.0
- Accelerate config: not found
- PyTorch version (GPU?): 1.13.1 (Fal... | {
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https://api.github.com/repos/huggingface/transformers/issues/24843 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24843/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24843/comments | https://api.github.com/repos/huggingface/transformers/issues/24843/events | https://github.com/huggingface/transformers/issues/24843 | 1,806,328,360 | I_kwDOCUB6oc5rqmIo | 24,843 | RuntimeError: CUDA error: CUBLAS_STATUS_NOT_INITIALIZED when calling `cublasCreate(handle)` | {
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"I was able to resolve the issue by following changes\r\n\r\nFirstly i added the special tokens that were used in my prompt card.\r\n```\r\nspecial_token_dict = tokenizer.special_tokens_map\r\ntokenizer.add_special_tokens(special_token_dict)\r\n```\r\n\r\nThen changed this line of code \r\n``` \r\nmodel.resize_toke... | 1,689 | 1,689 | 1,689 | NONE | null | Quantizing HuggingFaceH4/starchat-alpha model using transformers BitsAndBytesConfig and LoRA Config for reducing the memory usage.
```
nf4_config = BitsAndBytesConfig( load_in_4bit=True,
bnb_4bit_quant_type="nf4",
bnb_4bit_use_double_quant=True,
... | {
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https://api.github.com/repos/huggingface/transformers/issues/24842 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24842/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24842/comments | https://api.github.com/repos/huggingface/transformers/issues/24842/events | https://github.com/huggingface/transformers/issues/24842 | 1,806,317,302 | I_kwDOCUB6oc5rqjb2 | 24,842 | Request support for RWKV-4-World model. | {
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"@sgugger Is it possible to add the support for it? I'd like to use PEFT to fine tune the model.",
"We have implemented the function of fine-tuning the RWKV-World model using the peft library, and we will immediately publish it in HF",
"The relevant code will be provided under this issue",
"Please refer to๏ผ\r... | 1,689 | 1,693 | null | NONE | null | ### Model description
As RWKV-4-World is using a different tokenizer and vocabs, the current RWKV support in transformers is incompatible.
### Open source status
- [X] The model implementation is available
- [X] The model weights are available
### Provide useful links for the implementation
https://huggingface.co/... | {
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https://api.github.com/repos/huggingface/transformers/issues/24841 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24841/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24841/comments | https://api.github.com/repos/huggingface/transformers/issues/24841/events | https://github.com/huggingface/transformers/issues/24841 | 1,806,314,076 | I_kwDOCUB6oc5rqipc | 24,841 | Support for caching prompt hidden states through multiple calls of `generate()` | {
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"cc @gante ",
"Hey @offendo ๐ \r\n\r\nThis is a relevant request, and one that I can't give an exact solution at the moment. In general, `generate()` + prompting is very manual at the moment, and we really want to improve it. As such, the solution to your proposal will depend on our next iteration of prompt-hand... | 1,689 | 1,705 | 1,698 | NONE | null | ### Feature request
Hi there,
I'd like to be able to re-use the hidden states for a common (potentially long) prompt across multiple calls to `model.generate()` in order to reduce redundant computation. Here is how I envision a final API, though I'm sure there are multiple ways to do it.
```python
# Load stuff
... | {
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https://api.github.com/repos/huggingface/transformers/issues/24840 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24840/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24840/comments | https://api.github.com/repos/huggingface/transformers/issues/24840/events | https://github.com/huggingface/transformers/issues/24840 | 1,806,307,423 | I_kwDOCUB6oc5rqhBf | 24,840 | Again: RuntimeError: unscale_() has already been called on this optimizer since the last update() | {
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"I have the same errors (I opened an issue). However I don't have the gradient_accumulation_steps larger than the rows divied by per_device_train_batch_size. I mean I have this parameters:\r\nGRADIENT_ACCUMULATION_STEPS = 16\r\nMICRO_BATCH_SIZE = 4\r\ndataset.num_rows = 53131\r\n\r\nCould it be that one of the batc... | 1,689 | 1,692 | 1,692 | NONE | null | ### System Info
- `transformers` version: 4.30.2
- Platform: Windows-10-10.0.19045-SP0
- Python version: 3.10.12
- Huggingface_hub version: 0.16.2
- Safetensors version: 0.3.1
- PyTorch version (GPU?): 2.0.1+cu117 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not inst... | {
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https://api.github.com/repos/huggingface/transformers/issues/24839 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24839/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24839/comments | https://api.github.com/repos/huggingface/transformers/issues/24839/events | https://github.com/huggingface/transformers/issues/24839 | 1,806,237,273 | I_kwDOCUB6oc5rqP5Z | 24,839 | eval_loss of the same set of data differs when using different batch size | {
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"Hi @namespace-Pt \r\n\r\nThank you for reporting.\r\n\r\n This is because this is a causal LM models, where the loss is computed across the non-padding tokens.\r\n\r\nThe loss (returned from the model's `forward`) is the total loss divided by the number of non-padding tokens sent to the model.\r\n\r\nIn your case... | 1,689 | 1,690 | 1,690 | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.30.0
- Platform: Linux-5.4.0-147-generic-x86_64-with-glibc2.31
- Python version: 3.10.12
- Huggingface_hub version: 0.16.4
- Safetensors version: 0.3.1
- PyTorch version (GPU?): 2.0.1+cu117 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GP... | {
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https://api.github.com/repos/huggingface/transformers/issues/24838 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24838/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24838/comments | https://api.github.com/repos/huggingface/transformers/issues/24838/events | https://github.com/huggingface/transformers/pull/24838 | 1,805,972,382 | PR_kwDOCUB6oc5VlBBv | 24,838 | Ko perf infer gpu many | {
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"I'll create a PR again using the Korean translation team's PR template."
] | 1,689 | 1,689 | 1,689 | 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/24837 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24837/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24837/comments | https://api.github.com/repos/huggingface/transformers/issues/24837/events | https://github.com/huggingface/transformers/pull/24837 | 1,805,923,768 | PR_kwDOCUB6oc5Vk3um | 24,837 | Remove deprecated codes | {
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"It seems the failing test case is not related to these commits. Please re-trigger this failed workflow, Thanks.",
"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,689 | 1,694 | 1,689 | CONTRIBUTOR | null | # What does this PR do?
This PR removes some deprecated code:
- remove `xpu_backend` training argument, for it is deprecated and will be remove in version 4.31 of Transformers.
- remove some codes that will never be executed.
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can d... | {
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https://api.github.com/repos/huggingface/transformers/issues/24836 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24836/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24836/comments | https://api.github.com/repos/huggingface/transformers/issues/24836/events | https://github.com/huggingface/transformers/issues/24836 | 1,805,875,019 | I_kwDOCUB6oc5ro3dL | 24,836 | Pipeline feature request for min_new_tokens | {
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"cc @gante ",
"Hey @mediocreatmybest -- the flag is already available and operational :) Be mindful that you may need to adjust `max_new_tokens` to an admissible range. An impossible combination of constraints should raise a warning -- we are working on them :)\r\n\r\n```py\r\nfrom transformers import pipeline\r\... | 1,689 | 1,697 | null | NONE | null | ### Feature request
Pipeline already supports the option max_new_tokens.
Iโm requesting for the existing โmin_new_tokensโ to be able to be used with pipeline the same way as โmax_new_tokensโ.
Currently this will throw an error when trying to specify โmin_new_tokensโ as unrecognised.
### Motivation
Maintainin... | {
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https://api.github.com/repos/huggingface/transformers/issues/24835 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24835/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24835/comments | https://api.github.com/repos/huggingface/transformers/issues/24835/events | https://github.com/huggingface/transformers/issues/24835 | 1,805,836,050 | I_kwDOCUB6oc5rot8S | 24,835 | Reflexion Agent implementation? | {
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"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md) a... | 1,689 | 1,692 | 1,692 | NONE | null | ### Feature request
Reflexion: Language Agents with Verbal Reinforcement Learning (https://arxiv.org/abs/2303.11366) has code in https://github.com/noahshinn024/reflexion, can you integrate it into transformers_agents?
### Motivation
Reflexion Agent is a very interesting advanced agent, and already has its code ope... | {
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https://api.github.com/repos/huggingface/transformers/issues/24834 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24834/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24834/comments | https://api.github.com/repos/huggingface/transformers/issues/24834/events | https://github.com/huggingface/transformers/issues/24834 | 1,805,827,132 | I_kwDOCUB6oc5rorw8 | 24,834 | Pipeline image-to-text task and Bitsandbytes error | {
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"Based on this document, it should be possible, but maybe this is just an issue with multimodal or image processors with pipeline?\n\nhttps://huggingface.co/docs/transformers/main/pipeline_tutorial\n\n_# pip install accelerate bitsandbytes\nimport torch\nfrom transformers import pipeline\n\npipe = pipeline(model=\"... | 1,689 | 1,689 | 1,689 | NONE | null | ### System Info
Python 3.10.6
Transformers 4.30.0
Bitsandbytes 0.39.1
Windows / Linux
### Who can help?
@nar
### Information
- [X] The official example scripts
- [X] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [X] My own task or d... | {
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https://api.github.com/repos/huggingface/transformers/issues/24833 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24833/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24833/comments | https://api.github.com/repos/huggingface/transformers/issues/24833/events | https://github.com/huggingface/transformers/pull/24833 | 1,805,790,014 | PR_kwDOCUB6oc5VkcQm | 24,833 | Bump cryptography from 41.0.0 to 41.0.2 in /examples/research_projects/decision_transformer | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,689 | 1,689 | 1,689 | CONTRIBUTOR | null | Bumps [cryptography](https://github.com/pyca/cryptography) from 41.0.0 to 41.0.2.
<details>
<summary>Changelog</summary>
<p><em>Sourced from <a href="https://github.com/pyca/cryptography/blob/main/CHANGELOG.rst">cryptography's changelog</a>.</em></p>
<blockquote>
<p>41.0.2 - 2023-07-10</p>
<pre><code>
* Fixed bugs in c... | {
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https://api.github.com/repos/huggingface/transformers/issues/24832 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24832/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24832/comments | https://api.github.com/repos/huggingface/transformers/issues/24832/events | https://github.com/huggingface/transformers/issues/24832 | 1,805,738,711 | I_kwDOCUB6oc5roWLX | 24,832 | `trainer.evaluate` does throws an error when using multiple evaluation dataset | {
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"Yes, please do suggest a PR to fix this, thanks!"
] | 1,689 | 1,689 | 1,689 | CONTRIBUTOR | null | ### System Info
```
- `transformers` version: 4.31.0.dev0
- Platform: macOS-12.5.1-arm64-arm-64bit
- Python version: 3.8.16
- Huggingface_hub version: 0.14.1
- Safetensors version: 0.3.1
- PyTorch version (GPU?): 2.0.1 (False)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not... | {
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https://api.github.com/repos/huggingface/transformers/issues/24831 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24831/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24831/comments | https://api.github.com/repos/huggingface/transformers/issues/24831/events | https://github.com/huggingface/transformers/issues/24831 | 1,805,464,748 | I_kwDOCUB6oc5rnTSs | 24,831 | RwkvForCausalLM does not support gradient checkpointing. | {
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"Thanks for reporting @jonataslaw \r\nhttps://github.com/huggingface/transformers/pull/24955 has introduced the GC support for RWKV models, can you try that out by installing `transformers` from source and let us know how it goes?\r\n\r\n```bash\r\npip uninstall transformers\r\npip install git+https://github.com/hu... | 1,689 | 1,689 | 1,689 | NONE | null | ### System Info
Is there some reason for RwkvForCausalLM does not support gradient checkpointing, since RWKV-LM supports it?
@ArthurZucker and @younesbelkada
### Who can help?
_No response_
### Information
- [X] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supporte... | {
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https://api.github.com/repos/huggingface/transformers/issues/24830 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24830/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24830/comments | https://api.github.com/repos/huggingface/transformers/issues/24830/events | https://github.com/huggingface/transformers/issues/24830 | 1,805,456,754 | I_kwDOCUB6oc5rnRVy | 24,830 | Overlapped offset mapping when manually adding special tokens | {
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"Hey! \r\nThe `legacy=False` option is pretty much useless for fast tokenizers, so just a FYI here! (the warning is triggered because a slow instance is initialised!) \r\nThe `31822` corresponds to `SPIECE_UNDERLINE = \"โ\"`. \r\nThe tokenizer on the hub seems to have a few issues already:\r\n```python \r\n>>> tok ... | 1,689 | 1,693 | 1,693 | NONE | null | ### System Info
- `transformers` version: 4.31.0.dev0 (commit 21946a8cf4a273f35ac2f3a53edafc398699f527)
- Platform: macOS-13.2.1-x86_64-i386-64bit
- Python version: 3.9.17
- Huggingface_hub version: 0.16.4
- Safetensors version: 0.3.1
- PyTorch version (GPU?): 2.0.1 (False)
- Tensorflow version (GPU?): not ins... | {
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https://api.github.com/repos/huggingface/transformers/issues/24829 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24829/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24829/comments | https://api.github.com/repos/huggingface/transformers/issues/24829/events | https://github.com/huggingface/transformers/pull/24829 | 1,805,372,220 | PR_kwDOCUB6oc5Vi-go | 24,829 | [WIP] Add state in segments id calculation | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,689 | 1,690 | 1,690 | COLLABORATOR | null | # What does this PR do?
At the moment, when segments are calculated it's calculated on an image-per-image basis. This means when predicting with certain models e.g. DETR, the segment id that each class corresponds can be different across each image in a batch and across batches.
This PR adds a private attribute... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"๋ณ๋์ ๋ฆฌ๋ทฐ ์ฌํญ ์์ต๋๋ค. ์๊ณ ํ์
จ์ต๋๋ค :)"
] | 1,689 | 1,690 | 1,690 | CONTRIBUTOR | null | <!-- PR์ ์ ๋ชฉ์ "๐ [i18n-KO] Translated `<your_file>.md` to Korean" ์ผ๋ก ๋ถํ๋๋ฆฝ๋๋ค! -->
# What does this PR do?
Translated the `pipeline_webserver.md` file of the documentation to Korean.
Thank you in advance for your review.
Part of https://github.com/huggingface/transformers/issues/20179
## Before reviewing
- [... | {
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https://api.github.com/repos/huggingface/transformers/issues/24827 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24827/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24827/comments | https://api.github.com/repos/huggingface/transformers/issues/24827/events | https://github.com/huggingface/transformers/pull/24827 | 1,805,198,388 | PR_kwDOCUB6oc5ViXkD | 24,827 | [`core`]ย PEFT integration | {
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"I would like to have first review of the draft if possible, to see if we are inline with the approach ๐ @sgugger - Thanks !",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_24827). All of your documentation changes will be reflected on that endpoint.",
"Thank you fo... | 1,689 | 1,692 | 1,692 | CONTRIBUTOR | null | # What does this PR do?
This PR is an attempt to tightly integrate PEFT library with transformers, by offering users the ability to load PEFT models out of the box from `AutoModelForxxx.from_pretrained()` if the local directory or the Hub model id contains adapter weights and adapter config.
```python
import tem... | {
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https://api.github.com/repos/huggingface/transformers/issues/24826 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24826/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24826/comments | https://api.github.com/repos/huggingface/transformers/issues/24826/events | https://github.com/huggingface/transformers/pull/24826 | 1,805,183,888 | PR_kwDOCUB6oc5ViURW | 24,826 | Remove unused code in GPT-Neo | {
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"@sgugger context: this change was discussed in https://github.com/huggingface/transformers/issues/24820 -- this model is the only one that deletes `position_ids` in this function, and there is no apparent reason for it. This is a mostly unused code path and has been part of the original GPT-Neo commit.",
"The do... | 1,689 | 1,689 | 1,689 | CONTRIBUTOR | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/24825 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24825/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24825/comments | https://api.github.com/repos/huggingface/transformers/issues/24825/events | https://github.com/huggingface/transformers/pull/24825 | 1,804,917,907 | PR_kwDOCUB6oc5VhaTR | 24,825 | deprecate `sharded_ddp` training argument | {
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"> That makes sense thanks! Note that while removing it entirely from the doc is fine, we can't abruptly remove it from the library like this. We will need to properly deprecate it first and in two-tree minor versions we can fully remove it.\r\n\r\n@sgugger Thanks for pointing this out. I have rolled back the code ... | 1,689 | 1,696 | 1,689 | CONTRIBUTOR | null | # What does this PR do?
This PR deprecates the `sharded_ddp` training arguments, since ShardedDDP has been [upstreamded to PyTorch](https://pytorch.org/blog/introducing-pytorch-fully-sharded-data-parallel-api/), so users can use the `fsdp` traning parameter instead.
---
~~According to fairscale([see](https://g... | {
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https://api.github.com/repos/huggingface/transformers/issues/24824 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24824/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24824/comments | https://api.github.com/repos/huggingface/transformers/issues/24824/events | https://github.com/huggingface/transformers/pull/24824 | 1,804,886,584 | PR_kwDOCUB6oc5VhTdC | 24,824 | Check models used for common tests are small | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,689 | 1,689 | 1,689 | COLLABORATOR | null | # What does this PR do?
This is the first PR in a series that will aim at reducing the time spent on the tests (and the corresponding cost ๐
). A first analysis of the slowest tests show that the common tests sometimes use real-life models instead of tiny ones. This PR adds a check that the size of the model for co... | {
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https://api.github.com/repos/huggingface/transformers/issues/24823 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24823/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24823/comments | https://api.github.com/repos/huggingface/transformers/issues/24823/events | https://github.com/huggingface/transformers/pull/24823 | 1,804,816,078 | PR_kwDOCUB6oc5VhD85 | 24,823 | change nn.ReLU to torch.relu in ACT_FNS for OpenAI | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_24823). 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... | 1,689 | 1,692 | 1,692 | NONE | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/24822 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24822/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24822/comments | https://api.github.com/repos/huggingface/transformers/issues/24822/events | https://github.com/huggingface/transformers/pull/24822 | 1,804,805,141 | PR_kwDOCUB6oc5VhBiH | 24,822 | Generate: sequence bias can handle same terminations | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Hi @gante, \r\n\r\nThank you for trying to fix it. The failure is still there with this PR's branch.\r\n\r\n```\r\n File \"/mnt/nvme0/code/huggingface/m4-master/m4/evaluation/launch.py\", line 143, in <module>\r\n main(args)\r\n ... | 1,689 | 1,689 | 1,689 | MEMBER | null | # What does this PR do?
Fixes the issue raised by @stas00 [here](https://github.com/huggingface/transformers/pull/24334#issuecomment-1631324670).
In a nutshell, when I designed `SequenceBiasLogitsProcessor`, I've committed the fallacy of early optimization -- the resulting solution was not compatible with biasing... | {
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https://api.github.com/repos/huggingface/transformers/issues/24821 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24821/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24821/comments | https://api.github.com/repos/huggingface/transformers/issues/24821/events | https://github.com/huggingface/transformers/issues/24821 | 1,804,796,489 | I_kwDOCUB6oc5rkwJJ | 24,821 | OpenAIGPTModel raises exception with `afn="Relu"` | {
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"Hey thanks for reporting and providing a very efficient snippet! Indeed the relu is not initialized thus you have the error. Reviewing your PR now",
"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 thre... | 1,689 | 1,692 | 1,692 | NONE | null | ### System Info
- `transformers` version: 4.30.2
- Platform: Linux-5.4.0-148-generic-x86_64-with-glibc2.31
- Python version: 3.9.16
- Huggingface_hub version: 0.16.4
- Safetensors version: 0.3.1
- PyTorch version (GPU?): 2.0.1+cu117 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU... | {
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https://api.github.com/repos/huggingface/transformers/issues/24820 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24820/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24820/comments | https://api.github.com/repos/huggingface/transformers/issues/24820/events | https://github.com/huggingface/transformers/issues/24820 | 1,804,488,797 | I_kwDOCUB6oc5rjlBd | 24,820 | Extra else in GPTNeo prepare_inputs_for_generation | {
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"My bad. I think one should override the `prepare_inputs_for_generation` method if he wants to customize position_ids. The current code is okay for general use cases. But according to recent code of LLaMA https://github.com/huggingface/transformers/blob/fe861e578f50dc9c06de33cd361d2f625017e624/src/transformers/mode... | 1,689 | 1,689 | 1,689 | CONTRIBUTOR | null | https://github.com/huggingface/transformers/blob/fe861e578f50dc9c06de33cd361d2f625017e624/src/transformers/models/gpt_neo/modeling_gpt_neo.py#L704
Here shouldn't be an extra `else`. Sometimes users want to input customized position_ids and attention_masks, however this `else` eliminates such practice. | {
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