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https://api.github.com/repos/huggingface/transformers/issues/24819 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24819/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24819/comments | https://api.github.com/repos/huggingface/transformers/issues/24819/events | https://github.com/huggingface/transformers/issues/24819 | 1,804,382,140 | I_kwDOCUB6oc5rjK-8 | 24,819 | Model training with torch_dtype=torch.bfloat16 is possible? | {
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"You can try to train in full bfloat16 but it's not as stable as mixed precision bfloat16 training. When running `run_clm` with `--torch_dtype=bfloat16` you train in full bfloat16 so the flag `--bf16` (mixed precision training) is not really useful.",
"@sgugger thank you for the info!",
"@sgugger Hi, recently I... | 1,689 | 1,697 | 1,689 | NONE | null | ### System Info
- `transformers` version: 4.30.2
- Platform: Linux-5.10.184-174.730.amzn2.x86_64-x86_64-with-glibc2.26
- Python version: 3.9.16
- 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 ver... | {
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https://api.github.com/repos/huggingface/transformers/issues/24818 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24818/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24818/comments | https://api.github.com/repos/huggingface/transformers/issues/24818/events | https://github.com/huggingface/transformers/issues/24818 | 1,804,297,034 | I_kwDOCUB6oc5ri2NK | 24,818 | 添加peft模型的resume_from_checkpoint实现 | {
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"Hi @506610466, thanks for raising an issue. \r\n\r\nCould you please follow the issue template and provide all the information requested, including the running environment, a minimal code snippet to reproduce the error, full traceback and expected behaviour?"
] | 1,689 | 1,689 | 1,689 | NONE | null | ### Feature request
现阶段
trainer.train(resume_from_checkpoint=resume_from_checkpoint)
不能够加载adapter 权重进行 resume
### Motivation
现阶段
trainer.train(resume_from_checkpoint=resume_from_checkpoint)
不能够加载adapter 权重进行 resume
### Your contribution
没有 | {
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https://api.github.com/repos/huggingface/transformers/issues/24817 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24817/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24817/comments | https://api.github.com/repos/huggingface/transformers/issues/24817/events | https://github.com/huggingface/transformers/pull/24817 | 1,804,155,448 | PR_kwDOCUB6oc5Veziq | 24,817 | Fix Dropout Implementation in Graphormer | {
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"Hi @clefourrier and others,\r\nthis is the first time contributing to Huggingface for me. In the course of my thesis I found some improvements/fixes to your current Graphormer implementation including this one which is quite simple but has a big impact and should be easy to review. I plan to make some more pull re... | 1,689 | 1,694 | 1,694 | CONTRIBUTOR | null | # What does this PR do?
This commit corrects the dropout implementation in Graphormer, aligning it with the original implementation (https://github.com/microsoft/Graphormer) and improving performance. Specifically:
1. The `attention_dropout` variable, intended for use in GraphormerMultiheadAttention, was defined ... | {
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https://api.github.com/repos/huggingface/transformers/issues/24816 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24816/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24816/comments | https://api.github.com/repos/huggingface/transformers/issues/24816/events | https://github.com/huggingface/transformers/issues/24816 | 1,804,098,517 | I_kwDOCUB6oc5riFvV | 24,816 | Proper way to monkey patch a customized model no in transformers? | {
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"Hi @lucasjinreal, thanks for raising an issue! \r\n\r\nThis is a question best placed in our [forums](https://discuss.huggingface.co/). We try to reserve the github issues for feature requests and bug reports.",
"@amyeroberts Please help me find someone answer this issue, I posted serveral on forum none of them ... | 1,689 | 1,692 | 1,692 | NONE | null | ### Feature request
Hi, nowadays more and more model emerging out, many of them hard to merge transformers, but we have more and more customized patchs such as condensing rotary, xformers attn etc.
What is the best to monkey patch a customized model which not inside transformers library but just loaded with AutoMod... | {
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https://api.github.com/repos/huggingface/transformers/issues/24815 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24815/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24815/comments | https://api.github.com/repos/huggingface/transformers/issues/24815/events | https://github.com/huggingface/transformers/issues/24815 | 1,804,060,453 | I_kwDOCUB6oc5rh8cl | 24,815 | transformers-like library for Prompt or Agent library? | {
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"Hi @ghosthamlet, \r\n\r\nHave you checked out Agents and Tools from Hugging Face? https://huggingface.co/docs/transformers/v4.30.0/en/transformers_agents",
"@amyeroberts Thanks, it looks great. \r\nI found the code is all in src/transformers/tools, seems like it is not as flexible as transformers.\r\nif someone... | 1,689 | 1,689 | 1,689 | NONE | null | ### Feature request
Add advanced Prompt or Agent methods as models to transformers library, or build a new advanced Prompt or Agent library use ARCH like transformers library.
### Motivation
There are many Prompt/Agent libraries like: https://langchain.com/ https://github.com/yoheinakajima/babyagi https://github.c... | {
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https://api.github.com/repos/huggingface/transformers/issues/24814 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24814/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24814/comments | https://api.github.com/repos/huggingface/transformers/issues/24814/events | https://github.com/huggingface/transformers/issues/24814 | 1,803,909,670 | I_kwDOCUB6oc5rhXom | 24,814 | Is there a way to use Blip2Model for Zero-Shot Classification? | {
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"Hi @danielamassiceti, thanks for raising an issue! \r\n\r\nThis is a question best placed in our [forums](https://discuss.huggingface.co/). We try to reserve the github issues for feature requests and bug reports.",
"Thanks, will repost it there!"
] | 1,689 | 1,689 | 1,689 | NONE | null | Hi there
I am attempting to adapt the Blip2Model for a zero-shot classification task as follows:
- N text sentences/classes --> x = N text embeddings
- 1 test image -> y = 1 image embedding
- soft-max(dot-product(x, y)) to get the probabilities over classes
This is my solution so far:
```
def get_img_emb... | {
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https://api.github.com/repos/huggingface/transformers/issues/24813 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24813/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24813/comments | https://api.github.com/repos/huggingface/transformers/issues/24813/events | https://github.com/huggingface/transformers/issues/24813 | 1,803,853,048 | I_kwDOCUB6oc5rhJz4 | 24,813 | Replacing agent image_qa tool with InstructBLIP | {
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"Hi @austinmw, thanks for raising this issue! \r\n\r\nThis is because the model is being loaded [using the AutoModelForVisualQuestionAnswering](https://github.com/huggingface/transformers/blob/91d7df58b6537d385e90578dac40204cb550f706/src/transformers/tools/image_question_answering.py#L39C2-L39C2) class, [which only... | 1,689 | 1,689 | 1,689 | NONE | null | ### System Info
Hi, I'm attempting to use InstructBLIP for image QA:
```python
from transformers import HfAgent, load_tool
from diffusers.utils import load_image
agent = HfAgent("https://api-inference.huggingface.co/models/bigcode/starcoder")
image = load_image("https://huggingface.co/datasets/huggingface/d... | {
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https://api.github.com/repos/huggingface/transformers/issues/24812 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24812/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24812/comments | https://api.github.com/repos/huggingface/transformers/issues/24812/events | https://github.com/huggingface/transformers/pull/24812 | 1,803,759,598 | PR_kwDOCUB6oc5VddQR | 24,812 | Fixing double `use_auth_token.pop` (preventing private models from being visible). | {
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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?
Should fix: https://github.com/huggingface/transformers/issues/14334#issuecomment-1634527833
Repro: Have a private repo, with `vocab.json` (spread out files for the
tokenizer) and use `AutoTokenizer.from_pretrained(...,
use_auth_token="token")`.
Not sure if we already have private vis... | {
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https://api.github.com/repos/huggingface/transformers/issues/24811 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24811/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24811/comments | https://api.github.com/repos/huggingface/transformers/issues/24811/events | https://github.com/huggingface/transformers/issues/24811 | 1,803,653,245 | I_kwDOCUB6oc5rgZB9 | 24,811 | Unable to run compute_transition_scores : facing 'CodeT5pConfig' object has no attribute 'vocab_size' error | {
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"#### Facing the below error:\r\n```\r\nAttributeError Traceback (most recent call last)\r\n[<ipython-input-22-821b8f7c4aac>](https://localhost:8080/#) in <cell line: 1>()\r\n----> 1 transition_scores = model.compute_transition_scores(gen_tokens.sequences, gen_tokens.scores,gen_tokens.bea... | 1,689 | 1,689 | 1,689 | NONE | null | ### System Info
Hello Team , your help is appreciated in the below issue.
I am running the below code snippet on Google Colab.
- `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
- PyTor... | {
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https://api.github.com/repos/huggingface/transformers/issues/24810 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24810/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24810/comments | https://api.github.com/repos/huggingface/transformers/issues/24810/events | https://github.com/huggingface/transformers/pull/24810 | 1,803,510,485 | PR_kwDOCUB6oc5VcmaM | 24,810 | Use _BaseAutoModelClass's register method | {
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"> Thanks a lot!\r\n\r\nGlad to help!\r\n\r\nAlso, what are your thoughts on adding some typehinting to the `_model_mapping` variable e.g. \r\n```\r\nclass _BaseAutoModelClass:\r\n # Base class for auto models.\r\n _model_mapping: Optional[\"_LazyAutoMapping\"] = None\r\n```\r\ninstead of\r\n```\r\nclass _Bas... | 1,689 | 1,689 | 1,689 | CONTRIBUTOR | null | # What does this PR do?
Switching `_BaseAutoModelClass`'s `from_pretrained` and `from_config` to use the register classmethod that it defines rather than using the `_LazyAutoMapping` register method directly. This makes use of the additional consistency check within `_BaseAutoModelClass`'s register method.
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https://api.github.com/repos/huggingface/transformers/issues/24809 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24809/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24809/comments | https://api.github.com/repos/huggingface/transformers/issues/24809/events | https://github.com/huggingface/transformers/pull/24809 | 1,803,212,583 | PR_kwDOCUB6oc5VblEA | 24,809 | Fix typo 'submosules' | {
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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?
Fixes a one-character typo in the docs for large-model loading.
## Before submitting
- [X] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case). | {
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https://api.github.com/repos/huggingface/transformers/issues/24808 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24808/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24808/comments | https://api.github.com/repos/huggingface/transformers/issues/24808/events | https://github.com/huggingface/transformers/pull/24808 | 1,803,177,272 | PR_kwDOCUB6oc5Vbdjz | 24,808 | Remove Falcon docs for the release until TGI is ready | {
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"Fixed, my bad!",
"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,689 | 1,689 | 1,689 | MEMBER | null | Make sure we're not advertising docs for the model until we're ready to support it!
cc @sgugger | {
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https://api.github.com/repos/huggingface/transformers/issues/24807 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24807/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24807/comments | https://api.github.com/repos/huggingface/transformers/issues/24807/events | https://github.com/huggingface/transformers/pull/24807 | 1,803,155,513 | PR_kwDOCUB6oc5VbY1i | 24,807 | Run hub tests | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Fixed the tests that did not work, so can merge :-)"
] | 1,689 | 1,689 | 1,689 | COLLABORATOR | null | # What does this PR do?
It looks like the hub tests are currently not running :grimacing:
This is because the env variable for staging test is not set to `True`, due to me when we moved the circle CI to a dynamic config. Hopefully nothing is broken... | {
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https://api.github.com/repos/huggingface/transformers/issues/24806 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24806/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24806/comments | https://api.github.com/repos/huggingface/transformers/issues/24806/events | https://github.com/huggingface/transformers/pull/24806 | 1,803,112,535 | PR_kwDOCUB6oc5VbPcR | 24,806 | Add accelerate version in transformers-cli env | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@sgugger I've added the config too, matching the accelerate logic: a specific config file can be passed in, or the default config is read if it exists. LMKWYT :) "
] | 1,689 | 1,689 | 1,689 | COLLABORATOR | null | # What does this PR do?
What is says on the tin. Now Trainer uses accelerate, me & others are having to ask for the accelerate version often in issues.
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor ... | {
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https://api.github.com/repos/huggingface/transformers/issues/24805 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24805/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24805/comments | https://api.github.com/repos/huggingface/transformers/issues/24805/events | https://github.com/huggingface/transformers/pull/24805 | 1,802,825,990 | PR_kwDOCUB6oc5VaQUG | 24,805 | Fix MobileVitV2 doctest checkpoint | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"> So in MobileVitV2 doc example, the torch has to be imported?\r\n\r\nNo, not to have the test pass. I added it because it wouldn't run if you copy-pasted the snippet from the docs.\r\n\r\nI've added it to MobileVit v1 too now for th... | 1,689 | 1,689 | 1,689 | COLLABORATOR | null | # What does this PR do?
Doctests CI currently fails on MobileVitV2 tests. Doctest was copied from the V1 mobilevit, and checkpoints didn't match. Remove the copied from as there's just some very simple and standard model head logic coped.
Interestingly, the [example for MobileVit V1](https://github.com/huggingfa... | {
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https://api.github.com/repos/huggingface/transformers/issues/24804 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24804/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24804/comments | https://api.github.com/repos/huggingface/transformers/issues/24804/events | https://github.com/huggingface/transformers/pull/24804 | 1,802,811,269 | PR_kwDOCUB6oc5VaNII | 24,804 | Support RefinedWebModel as a model_type for Falcon | {
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"No this is not enough. If we go down that road we need to erase the `RefinedWeb` model type on loading to replace it with `falcon`, so that a new saved version does not keep it.",
"_The documentation is not available anymore as the PR was closed or merged._",
"This already happens! The model type that is saved... | 1,689 | 1,689 | 1,689 | MEMBER | null | This PR allows us to temporarily revert the model_type for Falcon repos to fix some issues.
cc @sgugger @LysandreJik @Narsil @OlivierDehaene @slippylolo | {
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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 | 1,707 | 1,707 | CONTRIBUTOR | null | # What does this PR do?
Implementation of general time series forecaster and classifier using only the target values. | {
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https://api.github.com/repos/huggingface/transformers/issues/24802 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24802/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24802/comments | https://api.github.com/repos/huggingface/transformers/issues/24802/events | https://github.com/huggingface/transformers/issues/24802 | 1,802,193,828 | I_kwDOCUB6oc5ra0uk | 24,802 | bug when Bert train on multi gpus | {
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"The normal BERT model can train on multiple GPUs, the bug is thus likely due to the modifications you made. You should ask no the [forums](https://discuss.huggingface.co/) to help debug your code.",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still... | 1,689 | 1,692 | 1,692 | NONE | null | ### System Info
- `transformers` version: 4.28.1
- Platform: Linux-3.10.0-957.el7.x86_64-x86_64-with-glibc2.17
- Python version: 3.8.16
- Huggingface_hub version: 0.15.1
- Safetensors version: not installed
- PyTorch version (GPU?): 1.12.1 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (C... | {
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https://api.github.com/repos/huggingface/transformers/issues/24801 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24801/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24801/comments | https://api.github.com/repos/huggingface/transformers/issues/24801/events | https://github.com/huggingface/transformers/issues/24801 | 1,802,087,328 | I_kwDOCUB6oc5raaug | 24,801 | Bug on compute_transition_scores, inconsistency between two ways of evaluating probabilities | {
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"Usually, `model.generate` does some post-process on the logits. As you can see in your code snippet, there are arguments you passed\r\n```python\r\n do_sample=True, \r\n top_p = 0.9, \r\n top_k = 15,\r\n```\r\nIf we just go through the model outputs (your second way) and compute `log_softmax` on the model raw l... | 1,689 | 1,690 | 1,690 | NONE | null | ### System Info
Copy-and-paste the text below in your GitHub issue and FILL OUT the two last points.
- `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+cu... | {
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https://api.github.com/repos/huggingface/transformers/issues/24800 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24800/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24800/comments | https://api.github.com/repos/huggingface/transformers/issues/24800/events | https://github.com/huggingface/transformers/pull/24800 | 1,802,017,495 | PR_kwDOCUB6oc5VXe7W | 24,800 | Revert "Unpin protobuf in docker file (for daily CI)" | {
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"Merge directly so we can have a better CI report in the next run.",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_24800). All of your documentation changes will be reflected on that endpoint.",
"@sgugger Just to let you know I revert a merged PR #24761: There is no ... | 1,689 | 1,689 | 1,689 | COLLABORATOR | null | Reverts huggingface/transformers#24761
ONNX unfortunately doesn't support using protobuf v4, and our daily CI have many ONNX tests broken after #24761.
See [failing jobs](https://github.com/huggingface/transformers/actions/runs/5526985620)
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https://api.github.com/repos/huggingface/transformers/issues/24799 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24799/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24799/comments | https://api.github.com/repos/huggingface/transformers/issues/24799/events | https://github.com/huggingface/transformers/pull/24799 | 1,801,987,846 | PR_kwDOCUB6oc5VXYll | 24,799 | Add UnivNet Vocoder Model for Tortoise TTS Diffusers Integration | {
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"Hi @dg845 if you are planning to add it to the `models` folder, then I think it should have a doc file(`univnet.md`) in the docs.",
"For now I've added the UnivNet code to the `/src/transformers/models/univnet/` directory. @sanchit-gandhi, since the UnivNet model isn't technically a transformer model (in that it... | 1,689 | 1,700 | 1,700 | CONTRIBUTOR | null | # What does this PR do?
This PR adds the UnivNet GAN vocoder model ([paper](https://arxiv.org/pdf/2106.07889.pdf), [code](https://github.com/mindslab-ai/univnet)) to `transformers`, which is the vocoder used in the Tortoise TTS text-to-speech model ([paper](https://arxiv.org/pdf/2305.07243.pdf), [code](https://githu... | {
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https://api.github.com/repos/huggingface/transformers/issues/24797 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24797/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24797/comments | https://api.github.com/repos/huggingface/transformers/issues/24797/events | https://github.com/huggingface/transformers/issues/24797 | 1,801,901,270 | I_kwDOCUB6oc5rZtTW | 24,797 | Trn1 LoRA finetuning with HF reaches RuntimeError: Invalid device format: cpu | {
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"cc @pacman100 ",
"Issue reported to https://github.com/huggingface/optimum-neuron/issues/134",
"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 | CONTRIBUTOR | null | ### System Info
optimum 1.9.0
optimum-neuron 0.0.7
transformers 4.30.2
DLAMI: https://aws.amazon.com/marketplace/pp/prodview-gr3e6yiscria2
AWS instance: trn1.2xl
`
File "<string>", line 111, in __init__
File "/usr/local/lib/python3.10/dist-packages/transformers/training_args.py", line 1341, in __post_init... | {
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https://api.github.com/repos/huggingface/transformers/issues/24796 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24796/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24796/comments | https://api.github.com/repos/huggingface/transformers/issues/24796/events | https://github.com/huggingface/transformers/pull/24796 | 1,801,878,538 | PR_kwDOCUB6oc5VXAub | 24,796 | new model: IDEFICS via HuggingFaceM4 | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Is it possible to be a private repo ? ;-) The m4 repo from huggingface organisation does not exist",
"Thank you for your interest, @flozi00 - please give us some time. It says WIP because it's not ready for a public consumption. I ... | 1,689 | 1,692 | 1,692 | CONTRIBUTOR | null | **important: The following notes are for my team mates and they won't work for anybody else as the data isn't ready for the public yet. should be made public next week **
Meanwhile to try it out:
```
$ git clone https://github.com/huggingface/transformers -b add-model-idefics
$ cd transformers
$ cat generate... | {
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https://api.github.com/repos/huggingface/transformers/issues/24795 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24795/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24795/comments | https://api.github.com/repos/huggingface/transformers/issues/24795/events | https://github.com/huggingface/transformers/pull/24795 | 1,801,875,822 | PR_kwDOCUB6oc5VXAGL | 24,795 | Pop | {
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<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
Then, please replace this w... | {
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https://api.github.com/repos/huggingface/transformers/issues/24794 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24794/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24794/comments | https://api.github.com/repos/huggingface/transformers/issues/24794/events | https://github.com/huggingface/transformers/issues/24794 | 1,801,868,732 | I_kwDOCUB6oc5rZlW8 | 24,794 | Bert Generation misses **model_kwargs in prepare_inputs_for_generation() | {
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"Hi @luyuzhe111 \r\n\r\nThank you for rasing the question!\r\n\r\nThe model of type `BertGeneration`, when we want to use `generation` along `encoder`'s output, it would be a (decoder) component in an encoder-decoder (here `class EncoderDecoderModel`).\r\n\r\nThe `generation` takes care to create the `encoder_outpu... | 1,689 | 1,692 | 1,692 | NONE | null | ### System Info
https://github.com/huggingface/transformers/blob/main/src/transformers/models/bert_generation/modeling_bert_generation.py#L989
This function should clearly return ```**model_kwargs``` but it is not. This results in passed args such as ```encoder_hidden_states``` not being used for generation.
### ... | {
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"Hi @amyeroberts , I am new to transformes library. I wanted to fix this error that I saw in the documentation. Because the link is broken.\r\n\r\n\r\nThe documentation page MIGRATION doesn't exist in v4.30.0, but exists on the main version. Click here to redirect to the main version of the documentation.\r\n\r\nI ... | 1,689 | 1,689 | 1,689 | CONTRIBUTOR | null | I couldn't find it in transformers files. Can you check? Is it true? | {
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Python 3.10
CUDA 11.8
torch 2.0.1
transfromers 4.30.2
bitsandbytes 0.39.1
datasets 2.13.0
einops 0.6.1
trl 0.4.4
accelerate 0.20.3
deepspeed 0.9.5
### Who can help?
@pacman100
### Information
- [X] The official example scripts
- [X] My own modified scripts
### Tasks
- [X] An officially ... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_24791). All of your documentation changes will be reflected on that endpoint."
] | 1,689 | 1,693 | 1,689 | COLLABORATOR | null | # What does this PR do?
So we can have latest TF versions. | {
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https://api.github.com/repos/huggingface/transformers/issues/24790 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24790/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24790/comments | https://api.github.com/repos/huggingface/transformers/issues/24790/events | https://github.com/huggingface/transformers/issues/24790 | 1,801,767,832 | I_kwDOCUB6oc5rZMuY | 24,790 | run_mlm is not working with TPU | {
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"It looks like PyTorch XLA cannot see your TPUs, are you sure you properly set up your instance?",
"I suppose it is, I am using colab TPU and I have installed thiis package : \r\n`pip install cloud-tpu-client==0.10 torch==2.0.0 torchvision==0.15.1 https://storage.googleapis.com/tpu-pytorch/wheels/colab/torch_xla-... | 1,689 | 1,692 | 1,692 | NONE | null | ### System Info
I am using colab :
python:3.10
for torch and xla :
`pip install cloud-tpu-client==0.10 torch==2.0.0 torchvision==0.15.1 https://storage.googleapis.com/tpu-pytorch/wheels/colab/torch_xla-2.0-cp310-cp310-linux_x86_64.whl`
transformers == 4.30.2
after using this command the training get thi... | {
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"> I'm confused. `install_requires` is already a list as seen on line 415.\r\n\r\nThanks for taking a look @sgugger!\r\n\r\nIt seems to be a requirementslib bug that occurs when one of the items in the list of dependencies is declared with a string interpolation..\r\n\r\nI'm not sure why using the list constructor ... | 1,689 | 1,689 | 1,689 | CONTRIBUTOR | null | # What does this PR do?
This enables installing transformers from source using pipenv.
Currently installing transformers through pipenv via a git source is blocked by this issue: https://github.com/pypa/pipenv/issues/5167#issuecomment-1349316531
Installation will fail with:
```
AttributeError: 'Subscript' objec... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"LGTM\r\nWe're not using token type ids during training, so there is no reason for the tokenizer to output them, and doing so just leads to unintended behaviour."
] | 1,689 | 1,689 | 1,689 | CONTRIBUTOR | null | # What does this PR do?
Makes it so the tokenizer doesn't output `token_type_ids`, as these break generation.
Seems like a harmless change, but I'm not sure what these are used for so let me know if this is the wrong approach!
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismi... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"FMI: (M=my)\r\n\r\nI probably need to do something with daily CI to take this PR's change into account!"
] | 1,689 | 1,689 | 1,689 | COLLABORATOR | null | # What does this PR do?
This PR creates the precedent of deprecating models in the library. By deprecating we indicate that we will stop maintaining such models, but there is no intention of actually removing those models and breaking support for them (they might one day move into a separate repo/on the Hub but we w... | {
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"@amyeroberts hey, yes will do!",
"Thanks for your PR but what is the purpose of this? The tokenization results are all integers and changing their dtype will make then unusable by the model.",
"@sgugger I was using `BatchEncoding` in a Processor class (`InstructBlipProcessor`) and noticed that it didn't suppor... | 1,689 | 1,690 | 1,690 | NONE | null | Issue #24068. The updated method now accepts both "device" and "dtype" as keyword arguments. When "dtype" is provided, the tensors within the object will be cast to the specified data type.
# What does this PR do?
This PR adds support for the `dtype` parameter in the `.to()` method of the `BatchEncoding` clas... | {
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https://api.github.com/repos/huggingface/transformers/issues/24785 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24785/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24785/comments | https://api.github.com/repos/huggingface/transformers/issues/24785/events | https://github.com/huggingface/transformers/pull/24785 | 1,801,556,106 | PR_kwDOCUB6oc5VV5z_ | 24,785 | Copy code when using local trust remote code | {
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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?
When using the `trust_remote_code=True` feature with local models (for instance using a clone of a repo with custom code) the custom code files are not copied over if the user does `save_pretrained` (as a result of #22814) but they should in this specific case. This PR fixes that.
Fixes #... | {
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https://api.github.com/repos/huggingface/transformers/issues/24784 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24784/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24784/comments | https://api.github.com/repos/huggingface/transformers/issues/24784/events | https://github.com/huggingface/transformers/pull/24784 | 1,801,526,948 | PR_kwDOCUB6oc5VVzdu | 24,784 | Link with accelerate | {
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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?
Replicates the logic in https://github.com/huggingface/accelerate/pull/1718 here on the trainer, to reduce the sync overhead as `get_scale` is a full-sync operation, meaning both GPU and CPU need to fully stop before continuing. This PR reduces it by half when not using the Accelerator.
Fi... | {
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https://api.github.com/repos/huggingface/transformers/issues/24783 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24783/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24783/comments | https://api.github.com/repos/huggingface/transformers/issues/24783/events | https://github.com/huggingface/transformers/issues/24783 | 1,801,437,588 | I_kwDOCUB6oc5rX8GU | 24,783 | Generate: have an example on each `LogitsProcessor` class docstring | {
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"Hi @gante I'm happy to give one of these a go as it seems a nice learning experience... `TemperatureLogitsWarper` feels as good as anyone else, can you assign it to me if it's not taken yet?",
"@nablabits thank you for your interest. It's all yours! \r\n\r\n(The assignment is informal -- the first one to mentio... | 1,689 | 1,693 | 1,692 | MEMBER | null | # Context
`.generate()` can be extensively manipulated through `LogitsProcessor` (and `LogitsWarper`) classes. Those classes are the code implementation behind flags like `temperature` or `top_k`.
Most of our `LogitsProcessor` classes have a docstring that briefly describes their effect. However, unless you are ... | {
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https://api.github.com/repos/huggingface/transformers/issues/24782 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24782/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24782/comments | https://api.github.com/repos/huggingface/transformers/issues/24782/events | https://github.com/huggingface/transformers/pull/24782 | 1,801,352,214 | PR_kwDOCUB6oc5VVMwl | 24,782 | Skip torchscript tests for `MusicgenForConditionalGeneration` | {
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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 model class requires the model tester to prepare `input_values` and `padding_mask` for torchscript tests.
So far I think it is fine to skip it until we have high usage.
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https://api.github.com/repos/huggingface/transformers/issues/24781 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24781/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24781/comments | https://api.github.com/repos/huggingface/transformers/issues/24781/events | https://github.com/huggingface/transformers/issues/24781 | 1,801,282,248 | I_kwDOCUB6oc5rXWLI | 24,781 | Add text-mesh models inside Hugginfaces | {
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"Hi @math-sasso, \r\n\r\nThis would be a great addition to the library! \r\n\r\nI don't know the paper's in depth, but I believe that both of these models - CLIPMesh and Shap-e - are diffusion models and so might be better suggestions for the diffusers library: https://github.com/huggingface/diffusers"
] | 1,689 | 1,689 | null | NONE | null | ### Feature request
Text to 3D models are really getting the scene in some industries but actually the state of the art techiniques are very hard to integrate in production code. Some examples are:
https://www.nasir.lol/clipmesh
https://github.com/openai/shap-e
Would be awesome to the community if HF has that... | {
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https://api.github.com/repos/huggingface/transformers/issues/24780 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24780/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24780/comments | https://api.github.com/repos/huggingface/transformers/issues/24780/events | https://github.com/huggingface/transformers/pull/24780 | 1,801,223,888 | PR_kwDOCUB6oc5VUwfX | 24,780 | Rm duplicate pad_across_processes | {
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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?
Accelerate now handles `pad_across_processes` directly, so removes code copied from Accelerate. As it's internal, no need for a deprecation cycle
Fixes # (issue)
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case)... | {
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https://api.github.com/repos/huggingface/transformers/issues/24779 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24779/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24779/comments | https://api.github.com/repos/huggingface/transformers/issues/24779/events | https://github.com/huggingface/transformers/issues/24779 | 1,801,100,266 | I_kwDOCUB6oc5rWpvq | 24,779 | Best aproach to fine tune a GPT model for feature extraction | {
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"Hi! This is better on [HF forums](https://huggingface.co/).\r\n\r\nThis github repository is mainly for issues and feature requests 🙏 Thank you for your comprehension.\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 address... | 1,689 | 1,692 | 1,692 | NONE | null | Hi All,
I am trying to use BioGPT as a feature encoder and I want to compare if fine-tuning is going to improve the quality of the embeddings.
So I have two options the first is to fine-tune BioGPT without passing the labels and then use the last token of the last hidden state for classification using a separate ... | {
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https://api.github.com/repos/huggingface/transformers/issues/24778 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24778/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24778/comments | https://api.github.com/repos/huggingface/transformers/issues/24778/events | https://github.com/huggingface/transformers/issues/24778 | 1,801,056,132 | I_kwDOCUB6oc5rWe-E | 24,778 | save quantized model throws error. | {
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"`load_in_8bit=True,` --> cc @younesbelkada as he knows much better 🙏 ",
"Hi @nemesis00sam \r\nThanks for the issue, https://github.com/huggingface/transformers/pull/24416 fixed the issue you mentioned\r\nplease install transformers from source \r\n```\r\npip uninstall transformers\r\npip install git+https://git... | 1,689 | 1,698 | 1,689 | NONE | null | ### System Info
===================================BUG REPORT===================================
Welcome to bitsandbytes. For bug reports, please run
python -m bitsandbytes
================================================================================
bin /opt/conda/envs/pytorch/lib/python3.10/site-packa... | {
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https://api.github.com/repos/huggingface/transformers/issues/24777 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24777/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24777/comments | https://api.github.com/repos/huggingface/transformers/issues/24777/events | https://github.com/huggingface/transformers/pull/24777 | 1,800,954,617 | PR_kwDOCUB6oc5VT1o2 | 24,777 | Make CLIP model could use new added tokens with meaningful pooling | {
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"I will fix the CI by using `fix-copies` later",
"_The documentation is not available anymore as the PR was closed or merged._",
"I will merge once the branch is cut tonight.",
"Sorry for the spam: @sgugger said the branch cut would be on next Monday. I think it's safer to wait until then."
] | 1,689 | 1,689 | 1,689 | COLLABORATOR | null | # What does this PR do?
Fix #24650
This is to address the feature request #24650.
Although we have default values of bos/eos been corrected in #24773, the existing config on the Hub still have the incorrect value `1` and `2`, which prevents CLIP model to use new added tokens when a user add them.
Although w... | {
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https://api.github.com/repos/huggingface/transformers/issues/24776 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24776/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24776/comments | https://api.github.com/repos/huggingface/transformers/issues/24776/events | https://github.com/huggingface/transformers/pull/24776 | 1,800,891,310 | PR_kwDOCUB6oc5VTnnA | 24,776 | To work out tokenization_utils_base.py:731 list to tensor so slow | {
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"@askxiaozhang Thanks for opening this PR and contributing to improving the transformers library! There is another PR opened #24772 which addresses this, and so this PR will not be merged in. "
] | 1,689 | 1,689 | 1,689 | NONE | null | tokenization_utils_base.py:731: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.asarray() before converting to a tensor. (Triggered internally at ../torch/csrc/utils/tensor_new.cpp:230.)
Solved this problem to acce... | {
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https://api.github.com/repos/huggingface/transformers/issues/24775 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24775/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24775/comments | https://api.github.com/repos/huggingface/transformers/issues/24775/events | https://github.com/huggingface/transformers/pull/24775 | 1,800,866,471 | PR_kwDOCUB6oc5VTiRf | 24,775 | Fix pad across processes dim in trainer and not being able to set the timeout | {
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"Yep, sorry 😅 Right one is used now",
"_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_24775). All of your documentation changes will be reflected on that endpoint."
] | 1,689 | 1,689 | 1,689 | CONTRIBUTOR | null | # What does this PR do?
Reverts tiny regression where `dim=1` is needed during `pad_across_processes`, and `ddp_timeout` wasn't trickled down through `PartialState`
Fixes # (issue)
Solves https://github.com/huggingface/transformers/issues/24751
## Before submitting
- [ ] This PR fixes a typo or improves th... | {
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"Pinging @younesbelkada as I think he looked into this previously! ",
"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](... | 1,689 | 1,692 | 1,692 | NONE | null | ### System Info
- `transformers` version: 4.29.2
- Platform: macOS-12.2.1-x86_64-i386-64bit
- Python version: 3.11.3
- Huggingface_hub version: 0.15.1
- Safetensors version: not installed
- 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/24773 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24773/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24773/comments | https://api.github.com/repos/huggingface/transformers/issues/24773/events | https://github.com/huggingface/transformers/pull/24773 | 1,800,620,811 | PR_kwDOCUB6oc5VSrok | 24,773 | Update default values of bos/eos token ids in `CLIPTextConfig` | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Regarding the padding token:\r\n\r\n(copy past from (partial) internal discussion given @patil-suraj)\r\n\r\n> When we added CLIP I tested for the text_projection , logits_per_image and logits_per_text. For the text_projection the mo... | 1,689 | 1,689 | 1,689 | COLLABORATOR | null | # What does this PR do?
Currently the default values are not the ones from the corresponding tokenizers.
See discussion in #24650
However, we can't use the `config.eos_token_id` in the modeling file (which is the ultimate goal in #24650) with only the change in this PR. We will have to update all the Hub repo.... | {
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https://api.github.com/repos/huggingface/transformers/issues/24772 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24772/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24772/comments | https://api.github.com/repos/huggingface/transformers/issues/24772/events | https://github.com/huggingface/transformers/pull/24772 | 1,800,589,080 | PR_kwDOCUB6oc5VSknO | 24,772 | fix "UserWarning: Creating a tensor from a list of numpy.ndarrays is … | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@ArthurZucker Do I need to make any changes to this PR? What's the next step?",
"@ydshieh could review this pr?",
"Seems to have ~30x speed up.\r\n\r\n```python\r\nimport numpy as np\r\nimport torch\r\n\r\nimport time\r\n\r\nd... | 1,689 | 1,690 | 1,690 | CONTRIBUTOR | null | fix "UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor."
# What does this PR do?
reduce latency of codes below from 0.744675874710083s to 0.013312816619873047s.
Fixes #24... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"> ValueError: Files in `utils/documentation_tests.txt` are not in alphabetical order.\r\n\r\n@amyeroberts \r\n\r\nYou are the one creating this check 😆 ",
"![image](https://github.com/huggingface/transformers/assets/22614925/6636... | 1,689 | 1,689 | 1,689 | COLLABORATOR | null | # What does this PR do?
Adds MobileVitV2 to the doctests. The example snippet wasn't working because the model's config files pointed to an image processor that doesn't exist. This adds the models to the doctests so that this is caught.
Also removes a duplicate line in image_processing_auto.py
Fixes #24763 (p... | {
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https://api.github.com/repos/huggingface/transformers/issues/24770 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24770/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24770/comments | https://api.github.com/repos/huggingface/transformers/issues/24770/events | https://github.com/huggingface/transformers/pull/24770 | 1,800,544,672 | PR_kwDOCUB6oc5VSa8x | 24,770 | Add multi-label text classification support to pytorch example | {
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"@ranchlai Thanks for opening this PR and contributing to the examples! \r\n\r\nCould you add to the README for this example a snippet for running on a multi-label classification task?",
"> @ranchlai Thanks for opening this PR and contributing to the examples!\r\n> \r\n> Could you add to the README for this examp... | 1,689 | 1,689 | 1,689 | CONTRIBUTOR | null | # What does this PR do?
The transoformer config supports multi-label classification by setting config.problem_type = "multi_label_classification",
but the run_glue.py does not support it.
This PR add `run_classification.py` to support multi-label classification task.
Main changes compared to `run_glue.py`:
- [x... | {
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"cc @pacman100 ",
"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,689 | 1,689 | 1,689 | CONTRIBUTOR | null | The "target_tensor_model_parallel_size" is related to "num_attention_heads", and the "target_pipeline_model_parallel_size" is related to "num_hidden_layers".
However, the old code had "target_tensor_model_parallel_size" related to "num_hidden_layers".
So we modified the code and added the part about "target_ten... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_24768). All of your documentation changes will be reflected on that endpoint.",
"> I think we don't use PT>2.0.0 that includes the fix you mentioned above, there should be a reason for that. cc @ydshieh\r\n\r\nYou predictio... | 1,689 | 1,690 | 1,690 | CONTRIBUTOR | null | Fixes # (issue)
This was needed because of a bug in pytorch https://github.com/pytorch/pytorch/issues/80588.
The bug was fixed in https://github.com/pytorch/pytorch/pull/96086
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did y... | {
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"Hi @shunxing1234, \r\n\r\nThanks a lot for opening a PR and contributing to the HF ecosystem! 🤗\r\nWe have recently been trying to push for `model on the hub` and have as much support as we can there. It will also be easier to integrate it! Here is a [tutorial](https://huggingface.co/docs/transformers/custom_mode... | 1,689 | 1,692 | 1,692 | CONTRIBUTOR | null | # What does this PR do?
<!--
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Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
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"It seems saving a checkpoint requires more than 213GB (Free memory on my hard disk). Not sure if it is intended.\r\n\r\n```\r\nFilesystem Size Used Avail Use% Mounted on\r\noverlay 251G 27G 213G 11% /\r\ntmpfs 64M 0 64M 0% /dev\r\ntmpfs 434G 0 434G 0% /sys/fs/c... | 1,689 | 1,692 | 1,692 | NONE | null | ### System Info
transformers - installed from source
accelerate - installed from source
torch 2.0.1
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
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# What does this PR do?
reduce latency of codes below from 0.744675874710083s to 0.013312816619873047s.
```
st = ti... | {
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https://api.github.com/repos/huggingface/transformers/issues/24764 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24764/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24764/comments | https://api.github.com/repos/huggingface/transformers/issues/24764/events | https://github.com/huggingface/transformers/issues/24764 | 1,800,262,980 | I_kwDOCUB6oc5rTdVE | 24,764 | UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow | {
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"@liucw2012 Thank you for the opening the issue and PR!\r\n\r\nI haven't check the PR in detail, but I am wondering what's the **total time** if you convert it to numpy first + numpy to torch tensor.\r\n\r\nAlso a remark: when giving a code snippet, please provide all the necessary variable value so it could run ... | 1,689 | 1,690 | 1,690 | CONTRIBUTOR | null | ### System Info
System Info
nvidia CUDA Version: 12.1, Driver Version: 525.105.17
transformers-cli env is
- `transformers` version: 4.29.2
- Platform: Linux-4.19.87-netease6-1-x86_64-with-glibc2.29
- Python version: 3.8.10
- Huggingface_hub version: 0.14.1
- Safetensors version: not installed
- PyTorch versio... | {
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https://api.github.com/repos/huggingface/transformers/issues/24763 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24763/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24763/comments | https://api.github.com/repos/huggingface/transformers/issues/24763/events | https://github.com/huggingface/transformers/issues/24763 | 1,800,136,586 | I_kwDOCUB6oc5rS-eK | 24,763 | sample code in for mobilevitv2 is not working | {
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"Hi @darwinharianto \r\n\r\nThank you for opening the issue.\r\n\r\nCould you specify which code sample in the link is the exact one that has problem to run? Thank a lot!",
"@darwinharianto Thanks for reporting this! It seems the issue is coming from the preprocessor config files on the hub for this checkpoint: [... | 1,689 | 1,689 | 1,689 | NONE | null | ### System Info
- `transformers` version: 4.31.0.dev0
- Platform: macOS-10.16-x86_64-i386-64bit
- Python version: 3.10.11
- Huggingface_hub version: 0.14.1
- Safetensors version: 0.3.1
- PyTorch version (GPU?): 2.0.0 (False)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not ... | {
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"Having the same issue here. Also want to ask if it is true that 8bit model is slower than fp16 during inference",
"cc @younesbelkada for `4-bit` 🙏 ",
"Hi everyone,\r\nSadly 8bit models are expected to be slower than fp16 models, see this: https://huggingface.co/blog/hf-bitsandbytes-integration#faster-inferenc... | 1,689 | 1,702 | 1,692 | NONE | null | ### System Info
To reproduce, I am running on CUDA 12.1/Driver 530 on an A100 with Ubuntu 20.04. I am running with the following packages
accelerate 0.21.0.dev0
triton 2.0.0
transformers 4.31.0.dev0
torch 2.0.1
bitsandbytes ... | {
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https://api.github.com/repos/huggingface/transformers/issues/24761 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24761/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24761/comments | https://api.github.com/repos/huggingface/transformers/issues/24761/events | https://github.com/huggingface/transformers/pull/24761 | 1,799,776,758 | PR_kwDOCUB6oc5VPz25 | 24,761 | Unpin protobuf in docker file (for daily CI) | {
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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?
I forgot to unpin protobuf (in the docker file) in my previous PR #24599.
Currently, CircleCI is testing against with protobuf 4, but daily CI is still v3. Let's move on on daily CI too. | {
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https://api.github.com/repos/huggingface/transformers/issues/24760 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24760/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24760/comments | https://api.github.com/repos/huggingface/transformers/issues/24760/events | https://github.com/huggingface/transformers/pull/24760 | 1,799,719,155 | PR_kwDOCUB6oc5VPnTP | 24,760 | Allow existing configs to be registered | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_24760). All of your documentation changes will be reflected on that endpoint."
] | 1,689 | 1,689 | 1,689 | COLLABORATOR | null | # What does this PR do?
If a model has a class defined both on the Hub and locally, there is a clash appearing when loading it in the auto API and `trust_remote_code=True` coming from [this line](https://github.com/huggingface/transformers/blob/253d43d46d1291633fb21116b737f2bd8799d3da/src/transformers/models/auto/au... | {
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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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] | 1,689 | 1,689 | 1,689 | CONTRIBUTOR | null | # What does this PR do?
This PR ensures that a new learning rate scheduler is created each time we rerun the `inner_training_loop`, so that if we have an lr such as `linear`, a new LR is generated based on the new batch size and step count. I don't believe a new optimizer is needed here to be recreated, just the sch... | {
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https://api.github.com/repos/huggingface/transformers/issues/24757 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24757/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24757/comments | https://api.github.com/repos/huggingface/transformers/issues/24757/events | https://github.com/huggingface/transformers/pull/24757 | 1,799,624,563 | PR_kwDOCUB6oc5VPTWK | 24,757 | Replacement of 20 asserts with exceptions | {
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"You will need to put your PR out of draft mode for us to be able to merge it :-)",
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] | 1,689 | 1,689 | 1,689 | CONTRIBUTOR | null | # What does this PR do?
Replaces 20 assertions with relevant errors, mostly ValueError.
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] | 1,689 | 1,689 | 1,689 | CONTRIBUTOR | null | # What does this PR do?
Uses the logic in the `GradientState` to know when we've reached the end of training and should sync the gradients.
Doing so relies on [this](https://github.com/huggingface/accelerate/blob/main/src/accelerate/accelerator.py#L862-L869) code, which already checks for the case of if a datalo... | {
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https://api.github.com/repos/huggingface/transformers/issues/24755 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24755/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24755/comments | https://api.github.com/repos/huggingface/transformers/issues/24755/events | https://github.com/huggingface/transformers/pull/24755 | 1,799,538,082 | PR_kwDOCUB6oc5VPBv5 | 24,755 | gpt-bigcode: avoid `zero_` to support Core ML | {
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"Note: to fully test conversion of `gpt-bigcode` models, the following `coremltools` PRs (or equivalent workarounds) need to be applied as well: https://github.com/apple/coremltools/pull/1910, https://github.com/apple/coremltools/pull/1911.",
"_The documentation is not available anymore as the PR was closed or me... | 1,689 | 1,689 | 1,689 | MEMBER | null | # What does this PR do?
In-place `zero_` is not supported by the Core ML conversion process. This PR replaces it with `zeros_like` so conversion can proceed.
The change only affects a workaround for a PyTorch bug on the `cpu` device.
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"> Thanks for your PR. I don't believe this makes those basic examples easier to understand, however, so I would leave things as is.\r\n\r\nHi @sgugger, thank you for your feedback. It might be nice to specify the 'model' parameter of the pipeline function. This is how I will update all the tasks in the https://hug... | 1,689 | 1,692 | 1,692 | CONTRIBUTOR | null | @sgugger, @stevhliu and @MKhalusova
Updated the code examples in the README file to include parameter names for better clarity and readability. Previously, the examples were missing parameter names, which could lead to confusion. By adding the parameter names, it becomes easier for users to understand and utilize t... | {
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https://api.github.com/repos/huggingface/transformers/issues/24753 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24753/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24753/comments | https://api.github.com/repos/huggingface/transformers/issues/24753/events | https://github.com/huggingface/transformers/pull/24753 | 1,799,471,323 | PR_kwDOCUB6oc5VOzSh | 24,753 | Skip some slow tests for doctesting in PRs (Circle)CI | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Hi!\r\n\r\n- This file `.circleci/create_circleci_config.py` is running on CircleCI. See #23245\r\n- If we don't accept the change is this PR: we can simply skip some (doc) test file that takes longer time to run)\r\n\r\n- This PR ad... | 1,689 | 1,689 | 1,689 | COLLABORATOR | null | # What does this PR do?
For doctest: each`.md` file is seen as a single test by pytest, and some takes more time (say `task_summary.md`) than others.
Let's allow a 5 minute timeout per test.
For the job step, it still has the total 1200s timeout. | {
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https://api.github.com/repos/huggingface/transformers/issues/24752 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24752/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24752/comments | https://api.github.com/repos/huggingface/transformers/issues/24752/events | https://github.com/huggingface/transformers/issues/24752 | 1,799,394,908 | I_kwDOCUB6oc5rQJZc | 24,752 | Training stage error with batch mode on conditional generation for multimodal models | {
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"This is an issue for[ this merged PR](https://github.com/huggingface/transformers/pull/22424)",
"Hey @cramraj8 👋 \r\n\r\nThe output shape is correct -- the sequence length of the logits is as long as the input sequence length. \r\n\r\nPerhaps you're interested in using the model to complete the prefix, in which... | 1,689 | 1,693 | 1,693 | NONE | null | ### System Info
- `transformers` version: 4.29.2
- Platform: Linux-5.15.90.1-microsoft-standard-WSL2-x86_64-with-glibc2.17
- Python version: 3.8.16
- Huggingface_hub version: 0.15.1
- Safetensors version: 0.3.1
- PyTorch version (GPU?): 2.0.1+cpu (False)
- Tensorflow version (GPU?): not installed (NA)
- Flax ve... | {
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https://api.github.com/repos/huggingface/transformers/issues/24751 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24751/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24751/comments | https://api.github.com/repos/huggingface/transformers/issues/24751/events | https://github.com/huggingface/transformers/issues/24751 | 1,799,279,931 | I_kwDOCUB6oc5rPtU7 | 24,751 | Stalled loop during prediction with deepspeed | {
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"Not really sure, but let me tag @pacman100 (?) and see if he knows this is more an issue in `transformers/accelerate` or should go to DeepSpeed repo issue page.",
"I wasn't sure which repo it belonged in either. I couldn't seem to locate the source of the bug. Based on all the print statements I added, it look... | 1,689 | 1,689 | 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/24750 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24750/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24750/comments | https://api.github.com/repos/huggingface/transformers/issues/24750/events | https://github.com/huggingface/transformers/pull/24750 | 1,799,242,863 | PR_kwDOCUB6oc5VOBpN | 24,750 | Add PEFT support directly in transformers pipeline | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_24750). All of your documentation changes will be reflected on that endpoint.",
"Thanks ! If the PoC gets validated by @Narsil I can extend it to more tasks (seq2seq generation, seq-cls) and add nice tests in the current te... | 1,689 | 1,692 | 1,692 | CONTRIBUTOR | null | # What does this PR do?
Replaces https://github.com/huggingface/peft/pull/585
After discussing with @LysandreJik I made this PoC PR to see whether it is simpler to add PEFT support directly in transformers and centralize all sort of pipelines in transformers pipeline. In the future, we can concentrate the effort... | {
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https://api.github.com/repos/huggingface/transformers/issues/24749 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24749/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24749/comments | https://api.github.com/repos/huggingface/transformers/issues/24749/events | https://github.com/huggingface/transformers/pull/24749 | 1,799,201,320 | PR_kwDOCUB6oc5VN4Zw | 24,749 | Skip keys not in the state dict when finding mismatched weights | {
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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?
When looping through the keys in `find_mismatched_weights`, we loop through all the `loaded_keys` which are all the keys in the checkpoint. If the checkpoint is sharded, the `state_dict` passed won't contain all those keys, only a subset of them, so we need to skip the keys not present in the... | {
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https://api.github.com/repos/huggingface/transformers/issues/24748 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24748/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24748/comments | https://api.github.com/repos/huggingface/transformers/issues/24748/events | https://github.com/huggingface/transformers/pull/24748 | 1,799,163,198 | PR_kwDOCUB6oc5VNv-i | 24,748 | Docs: Added benchmarks for `torch.compile()` for vision models | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@sayakpaul can you check this out when you get time? after that, we can merge. ",
"@sayakpaul I added more models.",
"I thought I committed more models but apparently haven't committed the work, just did now",
"@sayakpaul @amye... | 1,689 | 1,691 | 1,691 | CONTRIBUTOR | null | As discussed with @amyeroberts & @sayakpaul, this PR adds `torch.compile()` benchmarks to our documentation. I mainly benchmarked for latency, I can add throughput as well.
I got it with doc-builder on my local, it looks like below.
<img width="928" alt="Screenshot 2023-07-11 at 18 05 42" src="https://github.co... | {
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https://api.github.com/repos/huggingface/transformers/issues/24747 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24747/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24747/comments | https://api.github.com/repos/huggingface/transformers/issues/24747/events | https://github.com/huggingface/transformers/issues/24747 | 1,798,922,179 | I_kwDOCUB6oc5rOV_D | 24,747 | `device_map="auto"` support multi-node | {
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"cc @younesbelkada \r\n\r\nHi @guozhiyao, \r\n\r\nThanks for raising this issue. At the moment, there isn't enough information for us to be able to help you. Could you specify what you mean by \"doesn't work\"? \r\n\r\nAs a side note, I don't think you can do `device_map=auto\"` and then `.half()`, instead you can ... | 1,689 | 1,692 | 1,692 | NONE | null | ### Feature request
`AutoModel.from_pretrained(model_dir, device_map="auto", trust_remote_code=True).half()`
I want to load a huge model in multi-node for inference, such as 4 node with 1 gpu per node. But I do not know how to do it. The `device_map="auto"` seems only work for one node.
### Motivation
I want to tes... | {
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https://api.github.com/repos/huggingface/transformers/issues/24746 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24746/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24746/comments | https://api.github.com/repos/huggingface/transformers/issues/24746/events | https://github.com/huggingface/transformers/issues/24746 | 1,798,736,892 | I_kwDOCUB6oc5rNov8 | 24,746 | CPM_BEE model should have local model_path to infer and don't use trust_remote_code=True | {
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"Hi @fxrhhx, \r\n\r\n`cache_dir` is the [directory where the checkpoint is located](https://huggingface.co/docs/transformers/v4.30.0/en/model_doc/auto#transformers.AutoModel.from_pretrained.cache_dir).\r\n\r\n`pretrained_model_name_or_path` is either [the checkpoint name, or the full path to the directory containin... | 1,689 | 1,694 | 1,694 | NONE | null | ### System Info
I want to use my local model path for infer openbmb/cpm-bee-10b, like
model_path="/home/users/fanxingran/workspace/workspace/cpm_bee_cpu/cpm-bee-10b"
tokenizer = AutoTokenizer.from_pretrained(model_path, cache_dir=model_path, subfolder="scheduler", trust_remote_code=False)
model = AutoModelForCausal... | {
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https://api.github.com/repos/huggingface/transformers/issues/24745 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24745/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24745/comments | https://api.github.com/repos/huggingface/transformers/issues/24745/events | https://github.com/huggingface/transformers/pull/24745 | 1,798,336,665 | PR_kwDOCUB6oc5VK5yb | 24,745 | Add CLVP | {
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"cc: @sanchit-gandhi, @dg845",
"Very cool @susnato! Let me know if you have any questions / queries - more than happy to lend a hand here!",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_24745). All of your documentation changes will be reflected on that endpoint.",
... | 1,689 | 1,699 | 1,699 | CONTRIBUTOR | null | # What does this PR do?
<!--
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Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
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https://api.github.com/repos/huggingface/transformers/issues/24744 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24744/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24744/comments | https://api.github.com/repos/huggingface/transformers/issues/24744/events | https://github.com/huggingface/transformers/issues/24744 | 1,798,284,989 | I_kwDOCUB6oc5rL6a9 | 24,744 | Import error for relative import of module_name = 'testing_utils' | {
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"Hi @teddius \r\n\r\nCould you show us the command or the python script you run that gives this error.\r\n\r\nIt's not super clear what\r\n```\r\nimport transformers in a pytest\r\n```\r\nthis means. \r\n\r\nThank you in advance!\r\n",
"This issue has been automatically marked as stale because it has not had rece... | 1,689 | 1,692 | 1,692 | NONE | null | ### System Info
Error message:
`
self = <module 'transformers' from '/home/user/miniconda3/envs/my_project/lib/python3.8/site-packages/transformers/__init__.py'>
module_name = 'testing_utils'
def _get_module(self, module_name: str):
try:
> return importlib.import_module("." + modu... | {
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https://api.github.com/repos/huggingface/transformers/issues/24743 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24743/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24743/comments | https://api.github.com/repos/huggingface/transformers/issues/24743/events | https://github.com/huggingface/transformers/issues/24743 | 1,798,240,479 | I_kwDOCUB6oc5rLvjf | 24,743 | T5 Tokenizer Adds Space after Each Added (Extra) Token | {
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"I think a fix is in\r\n\r\nhttps://github.com/huggingface/transformers/pull/24622\r\n\r\n",
"FYI: that PR is not merged yet into `main` branch",
"Let's wait until we merge to close! ",
"@ArthurZucker Hi, this issue still exists after updating transformers to the latest 4.31.0 with #24622",
"Hey! \r\nIt is... | 1,689 | 1,689 | 1,689 | NONE | null | ### System Info
- `transformers` version: 4.30.2
- Platform: Linux-5.4.0-146-generic-x86_64-with-glibc2.35
- Python version: 3.11.3
- Huggingface_hub version: 0.15.1
- Safetensors version: 0.3.1
- PyTorch version (GPU?): 2.0.1+cu117 (False)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GP... | {
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https://api.github.com/repos/huggingface/transformers/issues/24742 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24742/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24742/comments | https://api.github.com/repos/huggingface/transformers/issues/24742/events | https://github.com/huggingface/transformers/issues/24742 | 1,798,204,938 | I_kwDOCUB6oc5rLm4K | 24,742 | Problems when using PyTorch Class _Dataset_ in model fineturn | {
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"Hi @Cassius31 \r\n\r\nThis kind of question is better on [Hugging Face Forums](https://discuss.huggingface.co/).\r\n\r\nWe reserve the `transformers` GitHub repository for issues and feature requests.",
"> Hi @Cassius31\r\n> \r\n> This kind of question is better on [Hugging Face Forums](https://discuss.huggingfa... | 1,689 | 1,689 | 1,689 | NONE | null | ### System Info
```shell
transformer 0.15.1
```
### 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
I try to use PyTorch... | {
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https://api.github.com/repos/huggingface/transformers/issues/24741 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24741/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24741/comments | https://api.github.com/repos/huggingface/transformers/issues/24741/events | https://github.com/huggingface/transformers/issues/24741 | 1,798,100,464 | I_kwDOCUB6oc5rLNXw | 24,741 | past_key_values supporting more-than-one-token inputs | {
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"Hey! Thanks for opening an issue! 🤗 \r\nThe reason why this is not working currently is that GPT2 is a pretty old model, thus it requires the attention mask to be passed when you want to generate. \r\nNow this is not an issue most of the time people use `gpt2_model.generate(input_ids, attention_mask)` and thus do... | 1,689 | 1,690 | 1,690 | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.30.0
- Platform: Linux-5.4.0-113-generic-x86_64-with-glibc2.31
- Python version: 3.10.11
- 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?/GP... | {
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https://api.github.com/repos/huggingface/transformers/issues/24740 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24740/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24740/comments | https://api.github.com/repos/huggingface/transformers/issues/24740/events | https://github.com/huggingface/transformers/issues/24740 | 1,798,054,398 | I_kwDOCUB6oc5rLCH- | 24,740 | docker/transformers-all-latest-gpu/Dockerfile Not Work | {
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"The problem in the used (pip) `index-url` being `https://mirrors.aliyun.com/pypi/simple`, where it can't find higher version of `huggingface_hub`. From the provided log, the highest version it has is `0.4.0`.\r\n\r\nIt should work fine if you are using `https://pypi.org/simple` as the pip index.",
"> The proble... | 1,689 | 1,692 | 1,692 | NONE | null | ### System Info
Docker: 20.10.12
### Who can help?
_No response_
### Information
- [X] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or dataset (give details below)
### Reproduction
1.... | {
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https://api.github.com/repos/huggingface/transformers/issues/24739 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24739/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24739/comments | https://api.github.com/repos/huggingface/transformers/issues/24739/events | https://github.com/huggingface/transformers/issues/24739 | 1,797,740,474 | I_kwDOCUB6oc5rJ1e6 | 24,739 | Sorting FAISS scores for similarity search | {
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"Hi! Thank you for opening the issue.\r\n\r\nI tag someone in the team on the course chapter discussion page. Let's wait a reply first 🤗 .",
"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 | 1,692 | 1,692 | NONE | null | ### System Info
- `transformers` version: 4.29.2
- Platform: Linux-5.10.157-139.675.amzn2.x86_64-x86_64-with-glibc2.26
- Python version: 3.9.15
- Huggingface_hub version: 0.15.1
- Safetensors version: not installed
- PyTorch version (GPU?): 2.0.1+cu117 (True)
- Tensorflow version (GPU?): not installed (NA)
- ... | {
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https://api.github.com/repos/huggingface/transformers/issues/24738 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24738/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24738/comments | https://api.github.com/repos/huggingface/transformers/issues/24738/events | https://github.com/huggingface/transformers/pull/24738 | 1,797,621,112 | PR_kwDOCUB6oc5VIcQO | 24,738 | Add missing attention mask in ASTFeatureExtractor | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_24738). All of your documentation changes will be reflected on that endpoint.",
"Hmm I believe this was omitted because Audio Spectrogram Transformer doesn't take a padding mask as input: https://github.com/huggingface/tran... | 1,689 | 1,690 | 1,689 | NONE | null | The ASTFeatureExtractor has a return_attention_mask attribute, but even if set to true, the feature extractor does not return it, because the code to do so is missing.
I added the code which checks the lengths of the raw audio arrays before computing the spectrograms and then creates the attention mask for each ele... | {
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https://api.github.com/repos/huggingface/transformers/issues/24737 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24737/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24737/comments | https://api.github.com/repos/huggingface/transformers/issues/24737/events | https://github.com/huggingface/transformers/issues/24737 | 1,797,529,993 | I_kwDOCUB6oc5rJCGJ | 24,737 | Falcon Models saved with `save_pretrained` no longer get saved with python files | {
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"Hi @sgugger \r\n\r\nI checked the code snippet and indeed only config and model bin files are saved. (tested on main branch of July 10th)\r\nI am more than happy to help and learn, but I would like to know if this behavior is expected before taking action.\r\n(and if you want to fix directly, ok for me)\r\n\r\n```... | 1,689 | 1,689 | 1,689 | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.30.2
- Platform: Linux-5.15.0-75-generic-x86_64-with-glibc2.35
- Python version: 3.10.3
- 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/24736 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24736/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24736/comments | https://api.github.com/repos/huggingface/transformers/issues/24736/events | https://github.com/huggingface/transformers/pull/24736 | 1,797,508,647 | PR_kwDOCUB6oc5VIDV3 | 24,736 | Fix typo in LocalAgent | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_24736). All of your documentation changes will be reflected on that endpoint."
] | 1,689 | 1,689 | 1,689 | CONTRIBUTOR | null | # What does this PR do?
This PR fixes a typo in LocalAgent.
Crash Log:
```
Traceback (most recent call last):
File "/gnu/git/hf-agent/./agent.py", line 18, in <module>
agent.run(prompt)
File "/gnu/git/hf-agent/venv/lib/python3.11/site-packages/transformers/tools/agents.py", line 335, in run
res... | {
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https://api.github.com/repos/huggingface/transformers/issues/24735 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24735/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24735/comments | https://api.github.com/repos/huggingface/transformers/issues/24735/events | https://github.com/huggingface/transformers/issues/24735 | 1,797,497,355 | I_kwDOCUB6oc5rI6IL | 24,735 | Distil* hanging on torch.distributed.barrier() | {
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"This is probably a setup error in the environment, as it means that one of the processes does not properly ping the others at the barrier line, and then it hangs forever.",
"Is there a way to solve this setup error?",
"i have same problem",
"I run into this problem recently.",
"> \r\n\r\nfor me it was gpu ... | 1,689 | 1,694 | 1,694 | NONE | null | ### System Info
- `transformers` version: 4.31.0.dev0
- Platform: Linux-5.14.21-150400.24.55-default-x86_64-with-glibc2.31
- Python version: 3.10.10
- Huggingface_hub version: 0.15.1
- Safetensors version: 0.3.1
- PyTorch version (GPU?): 1.13.0+cu117 (True)
- Tensorflow version (GPU?): not installed (NA)
- Fl... | {
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https://api.github.com/repos/huggingface/transformers/issues/24734 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24734/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24734/comments | https://api.github.com/repos/huggingface/transformers/issues/24734/events | https://github.com/huggingface/transformers/issues/24734 | 1,797,203,090 | I_kwDOCUB6oc5rHySS | 24,734 | bug: eval_accumulation_steps can lead to incorrect metrics | {
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"Thanks for the report! I'll look into a solution for this today",
"@sjrl could you quickly verify that installing `transformers` via `pip install git+https://github.com/huggingface/transformers@fix-eval-accum-steps` solves this for you? Thanks!",
"Hey @muellerzr thanks for the quick fix! And my apologies I act... | 1,689 | 1,694 | 1,689 | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.31.0.dev0
- Platform: Linux-5.15.0-76-generic-x86_64-with-glibc2.17
- Python version: 3.8.16
- Huggingface_hub version: 0.14.1
- Safetensors version: 0.3.1
- PyTorch version (GPU?): 2.0.1+cu117 (True)
- Tensorflow version (GPU?): 2.11.1 (True)
- Flax version (CPU?/G... | {
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https://api.github.com/repos/huggingface/transformers/issues/24733 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24733/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24733/comments | https://api.github.com/repos/huggingface/transformers/issues/24733/events | https://github.com/huggingface/transformers/pull/24733 | 1,797,201,707 | PR_kwDOCUB6oc5VHBh9 | 24,733 | Docs: add `kwargs` type to fix formatting | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"After the PR (as seen in the doc preview):\r\n<img width=\"926\" alt=\"Screenshot 2023-07-10 at 18 55 21\" src=\"https://github.com/huggingface/transformers/assets/12240844/9329186d-86ee-4091-a5c5-bbee77ab83f7\">\r\n",
"Happy to pu... | 1,689 | 1,689 | 1,689 | MEMBER | null | # What does this PR do?
As the title indicates: in several places our docs `kwargs` did not include its type, which made our doc builder treat it like a continuation of the previous parameter 💔
Example of currently broken docs ([this function](https://huggingface.co/docs/transformers/v4.30.0/en/main_classes/pro... | {
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https://api.github.com/repos/huggingface/transformers/issues/24732 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24732/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24732/comments | https://api.github.com/repos/huggingface/transformers/issues/24732/events | https://github.com/huggingface/transformers/issues/24732 | 1,796,991,248 | I_kwDOCUB6oc5rG-kQ | 24,732 | GPT2 model training , Loss nan | {
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"Hi @irfan767, thanks for raising an issue! \r\n\r\nQuestions about debugging code or custom training behaviour are best placed in our [forums](https://discuss.huggingface.co/). We try to reserve the github issues for feature requests and bug reports.",
"This issue has been automatically marked as stale because i... | 1,689 | 1,692 | 1,692 | NONE | null | ### System Info
Sometimes I get this error. while following this article about fine-tuning based on question and answers. [https://discuss.huggingface.co/t/fine-tuning-gpt2-for-question-answering/31895](url)
I have just updated the code to create batches because my dataset is more extensive.
Here is the code tha... | {
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https://api.github.com/repos/huggingface/transformers/issues/24731 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24731/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24731/comments | https://api.github.com/repos/huggingface/transformers/issues/24731/events | https://github.com/huggingface/transformers/issues/24731 | 1,796,988,197 | I_kwDOCUB6oc5rG90l | 24,731 | LLAMA for sequence classification | {
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"hi @Lathashree01 \r\nthanks for reporting, can you try to load the model in `bfloat16`, also what is the GPU hardware you are using? ",
"Hi @younesbelkada , \r\nI am using Quadro RTX 6000 node with 8 GPUs of 24GB memory.\r\n\r\nWhen I run using - bfloat16, I am getting below error:\r\n`TypeError: Got unsupported... | 1,689 | 1,693 | 1,690 | NONE | null | ### System Info
@ArthurZucker and @younesbelkada
I am trying to perform sequence classification for text using LLAMA 7B model leveraging LORA training. I have 2 classes.
Tokeniser and models are loading fine. But loss is zero after the first batch; when I check the logits, of model outputs, they are nan.
I a... | {
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https://api.github.com/repos/huggingface/transformers/issues/24730 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24730/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24730/comments | https://api.github.com/repos/huggingface/transformers/issues/24730/events | https://github.com/huggingface/transformers/pull/24730 | 1,796,981,961 | PR_kwDOCUB6oc5VGSFg | 24,730 | Docs: change some `input_ids` doc reference from `BertTokenizer` to `AutoTokenizer` | {
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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?
As the title indicates. We are doing it in most places, but there were a few places with the old pattern.
(detected it as part of https://github.com/huggingface/transformers/issues/24575) | {
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https://api.github.com/repos/huggingface/transformers/issues/24729 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24729/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24729/comments | https://api.github.com/repos/huggingface/transformers/issues/24729/events | https://github.com/huggingface/transformers/pull/24729 | 1,796,978,421 | PR_kwDOCUB6oc5VGRS8 | 24,729 | Docs: Update logit processors __call__ docs | {
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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?
PR done as part of https://github.com/huggingface/transformers/issues/24575
This PR polishes the inexistent `__call__` method docs for the logit processors (before this PR, only the base classes had docs). | {
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https://api.github.com/repos/huggingface/transformers/issues/24728 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24728/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24728/comments | https://api.github.com/repos/huggingface/transformers/issues/24728/events | https://github.com/huggingface/transformers/issues/24728 | 1,796,931,495 | I_kwDOCUB6oc5rGv-n | 24,728 | Saving with Trainer missing config.json and tokenizer files. | {
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"@pacman100 ",
"Hi @dumpmemory !\r\n\r\nCould you verify if any of the 3 places `self._save` in the code snippet below is triggered?\r\n\r\n(line 2742, 2753, 2762)\r\n\r\nhttps://github.com/huggingface/transformers/blob/25411085647a4dbcbd4e7ba6f381881a3e49c33e/src/transformers/trainer.py#L2734-L2762\r\n\r\n",
"... | 1,689 | 1,691 | 1,689 | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.31.0.dev0
- Platform: Linux-5.4.119-19.0009.28-x86_64-with-glibc2.35
- Python version: 3.10.6
- Huggingface_hub version: 0.15.1
- Safetensors version: 0.3.1
- PyTorch version (GPU?): 2.0.0 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU... | {
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https://api.github.com/repos/huggingface/transformers/issues/24727 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24727/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24727/comments | https://api.github.com/repos/huggingface/transformers/issues/24727/events | https://github.com/huggingface/transformers/issues/24727 | 1,796,541,319 | I_kwDOCUB6oc5rFQuH | 24,727 | Add "save_best_only" parameter in "transformers.PushToHubCallback" class | {
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"cc @sgugger to see if we want to support the **save/push only the best model during training**. It seems the trainer currently only support load the best model at the end (with a specified metric).",
"The whole goal of pushing the model to the hub is to be able to resume training from a different machine if ther... | 1,688 | 1,694 | 1,694 | NONE | null | ### Feature request
When utilizing Keras callbacks, we have the ability to specify when the model should be saved during training. The **transformers.PushToHubCallback()** class already incorporates similar functionality through the use of the **"save_strategy"** parameter. This parameter accepts the following values:... | {
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https://api.github.com/repos/huggingface/transformers/issues/24726 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24726/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24726/comments | https://api.github.com/repos/huggingface/transformers/issues/24726/events | https://github.com/huggingface/transformers/pull/24726 | 1,796,152,718 | PR_kwDOCUB6oc5VDcwN | 24,726 | [`T5`, `MT5`, `UMT5`] Add [T5, MT5, UMT5]ForSequenceClassification | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"> Quick comment, we can probably add this to UMT5 too (you don't have to if it take too much time)\r\n\r\nFor sure, I'd be happy to!",
"Hey @sgugger thanks for the feedback!\r\n\r\n> Hi, thanks for your PR! This does not follow the... | 1,688 | 1,694 | 1,690 | CONTRIBUTOR | null | # What does this PR do?
This adds a sequence classification head to the PyTorch implementation of T5 and MT5, following the pattern of BartForSequenceClassification since it is also an encoder-decoder sequence classification model.
I have trained and uploaded a flan-t5-base for MNLI [here](https://huggingface.co/... | {
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https://api.github.com/repos/huggingface/transformers/issues/24725 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24725/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24725/comments | https://api.github.com/repos/huggingface/transformers/issues/24725/events | https://github.com/huggingface/transformers/issues/24725 | 1,795,833,413 | I_kwDOCUB6oc5rCj5F | 24,725 | Sum loss instead of mean loss should be used if gradient accumulation step is larger than 1 when training a language model | {
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"Hi @Atry \r\n\r\nYour description is correct. However, the loss logic is implemented in each model classes, and therefore it could not see multiple batches in a single model forward pass (and that's probably the main reason for which we just simply use `mean`).\r\n\r\nThe best and easy way to have a correct comput... | 1,688 | 1,695 | 1,693 | NONE | null | ### System Info
Not applicable, because this is a design issue, not a runtime error.
### Who can help?
@sgugger, @ArthurZucker and @younesbelkada
### Information
- [ ] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (... | {
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https://api.github.com/repos/huggingface/transformers/issues/24724 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24724/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24724/comments | https://api.github.com/repos/huggingface/transformers/issues/24724/events | https://github.com/huggingface/transformers/issues/24724 | 1,795,744,066 | I_kwDOCUB6oc5rCOFC | 24,724 | New Version Usage Issue | {
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"Here's another question, in the new version of the Transformers package, the default loaded model by from_pretrained has become safeTensors. How can I change it to pytorch.bin? Is there any parameter I can specify?",
"Hi @Excuses123, thanks for raising this issue.\r\n\r\nWithout knowing the model or dataset, we'... | 1,688 | 1,694 | 1,689 | NONE | null | ### System Info
- `transformers` version: 4.29.0
- Platform: Linux-3.10.0-1160.92.1.el7.x86_64-x86_64-with-glibc2.31
- Python version: 3.10.9
- 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 ver... | {
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https://api.github.com/repos/huggingface/transformers/issues/24723 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24723/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24723/comments | https://api.github.com/repos/huggingface/transformers/issues/24723/events | https://github.com/huggingface/transformers/issues/24723 | 1,795,409,801 | I_kwDOCUB6oc5rA8eJ | 24,723 | install from source dont work | {
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"\r\nHello @IdoTal120 ! Welcome to Github, 👋\r\nTaking this into account\r\n```\r\nERROR: Error [WinError 2] The system cannot find the file specified while executing command git version\r\nERROR: Cannot find command 'git' - do you have 'git' installed and in your PATH?\r\n```\r\n\r\n\r\nThe error message is telli... | 1,688 | 1,692 | 1,692 | NONE | null | ### System Info
ms server 2019
PS C:\Users\a_ital> pip install git+https://github.com/huggingface/transformers
Collecting git+https://github.com/huggingface/transformers
Cloning https://github.com/huggingface/transformers to c:\users\a_ital\appdata\local\temp\6\pip-req-build-no6t74od
ERROR: Error [WinErro... | {
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https://api.github.com/repos/huggingface/transformers/issues/24722 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24722/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24722/comments | https://api.github.com/repos/huggingface/transformers/issues/24722/events | https://github.com/huggingface/transformers/issues/24722 | 1,795,282,010 | I_kwDOCUB6oc5rAdRa | 24,722 | Feature Request: To add nested hierarchy retrieval from Donut response | {
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"Hi @sam99dave, \r\n\r\nThanks for raising this issue! Would you like to open a PR with your suggestion? This way you get the contribution on git. One thing to note when adding this feature is that we have to consider backwards compatibility with our models, so the default behaviour would still need to be preserved... | 1,688 | 1,689 | null | NONE | null | ### Feature request
### Donut for hierarchy extraction (Document Parsing)
While preprocessing the ground truth json to the tokens for Donut the processor function (json2token) handles nested hierarchy but the same doesn't hold true for token2json.
Below is an example json:
`
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https://api.github.com/repos/huggingface/transformers/issues/24721 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24721/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24721/comments | https://api.github.com/repos/huggingface/transformers/issues/24721/events | https://github.com/huggingface/transformers/pull/24721 | 1,794,958,934 | PR_kwDOCUB6oc5U_lOL | 24,721 | [WIP] Gradient Checkpointing: use_reentrant=False | {
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As per pytorch's [recommendation](https://github.com/pytorch/pytorch/blob/main/torch/utils/checkpoint.py#L418)
When using gradient checkpointing for models that allow them, torch.util.checkpoint recommends using
`use_reentrant=False``` as per [this note](https://github.com/pytorch/pytorch... | {
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https://api.github.com/repos/huggingface/transformers/issues/24720 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24720/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24720/comments | https://api.github.com/repos/huggingface/transformers/issues/24720/events | https://github.com/huggingface/transformers/pull/24720 | 1,794,944,277 | PR_kwDOCUB6oc5U_ijF | 24,720 | Pvt model | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@Xrenya Thanks again for adding and iterating. Merging now :) "
] | 1,688 | 1,690 | 1,690 | CONTRIBUTOR | null | # Add PVT(Pyramid Vision Transformer)
Partially fixes: [issue](https://github.com/huggingface/transformers/issues/17596), [Closed PR](https://github.com/huggingface/transformers/pull/22445)
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case... | {
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https://api.github.com/repos/huggingface/transformers/issues/24719 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24719/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24719/comments | https://api.github.com/repos/huggingface/transformers/issues/24719/events | https://github.com/huggingface/transformers/pull/24719 | 1,794,938,681 | PR_kwDOCUB6oc5U_hfU | 24,719 | add gradient checkpointing for distilbert | {
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"Hi @jordane95, thanks for opening this PR. \r\n\r\nOverall changes look OK to me. I can see from the issue discussion that gradient checkpointing was deliberately not added to DistilBert. In general, we try to avoid adding complexity to existing models, in particular their forward pass. Let's get @sgugger second o... | 1,688 | 1,689 | 1,689 | CONTRIBUTOR | null | # What does this PR do?
Fixes #9113 and #23219
I just added the gradient checkpointint feature for DistilBert following the implementation in BERT.
This should be useful if one wants to train a relatively small model with extremly large batch size for better performance in application scenarios such as text r... | {
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