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https://api.github.com/repos/huggingface/transformers/issues/18474 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18474/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18474/comments | https://api.github.com/repos/huggingface/transformers/issues/18474/events | https://github.com/huggingface/transformers/pull/18474 | 1,328,942,262 | PR_kwDOCUB6oc48qqM3 | 18,474 | Update no trainer examples for QA and Semantic Segmentation | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,659 | 1,659 | 1,659 | CONTRIBUTOR | null | # What does this PR do?
Update run_qa_no_trainer.py, run_qa_beam_search_no_trainer.py, run_semantic_segmentation_no_trainer.py examples to include `accelarator.gather_metrics`
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"_The documentation is not available anymore as the PR was closed or merged._",
"Let us know when the PR is ready for review (it's in draft mode right now) so we can go ahead and merge.",
"@sgugger @muellerzr I changed PR to review. :)\r\n\r\n",
"@sgugger I removed changes to wav2vec script and fixed the usi... | 1,659 | 1,659 | 1,659 | CONTRIBUTOR | null | # What does this PR do?
Updates no_trainer.py scripts to use the new gradient accumulation wrapper feature from accelerate according to #18436.
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https://api.github.com/repos/huggingface/transformers/issues/18472 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18472/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18472/comments | https://api.github.com/repos/huggingface/transformers/issues/18472/events | https://github.com/huggingface/transformers/issues/18472 | 1,328,575,297 | I_kwDOCUB6oc5PMHNB | 18,472 | TFEncoderDecoderModel can not be trained with TF Keras fit() method | {
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"Hi @kmkarakaya 👋 Having a popular project like `transformers` means we get many support and feature requests — if we want to maximize how much we help the community, the community has to help us stay productive 🙏\r\n\r\nTo that end, please share a *short* script where the issue is clearly reproducible on *any* ... | 1,659 | 1,662 | 1,662 | NONE | null | ### System Info
- `transformers` version: 4.21.0
- Platform: Linux-4.15.0-188-generic-x86_64-with-glibc2.31
- Python version: 3.9.12
- Huggingface_hub version: 0.8.1
- PyTorch version (GPU?): not installed (NA)
- Tensorflow version (GPU?): 2.6.2 (True)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax v... | {
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"Thanks also for giving me the right pointer to the rootcause!",
"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,659 | 1,659 | 1,659 | CONTRIBUTOR | null | # What does this PR do?
This PR is an alternative solution (and cleaner) to https://github.com/huggingface/transformers/pull/18467
An issue has been found when running this script:
```
import torch
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("Salesfor... | {
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https://api.github.com/repos/huggingface/transformers/issues/18470 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18470/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18470/comments | https://api.github.com/repos/huggingface/transformers/issues/18470/events | https://github.com/huggingface/transformers/pull/18470 | 1,328,509,360 | PR_kwDOCUB6oc48pMzd | 18,470 | Fix load of model checkpoints in the Trainer | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,659 | 1,659 | 1,659 | COLLABORATOR | null | # What does this PR do?
#18221 broke the model reload when the contributor removed the `strict_load` variable (as requested in the review) without setting it to its proper value in the calls to `load_state_dict` after. This PR addresses that.
Fixes #18373 | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Test failures are `ValueError: Connection error` - irrelevant.",
"Thank you, @ydshieh for this. I appreciate the help. "
] | 1,659 | 1,659 | 1,659 | COLLABORATOR | null | # What does this PR do?
The original goal is to fix `TFSegformerModelTest.test_keras_fit`, but it ends up the following
- Add `TF_MODEL_FOR_SEMANTIC_SEGMENTATION_MAPPING` to some `__init__` files.
- Add `training` arguments in a few layers for `TFSegformerModel`
- Update `_prepare_for_class` to deal with 2 more... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,659 | 1,659 | 1,659 | CONTRIBUTOR | null | # What does this PR do?
Update `run_swag_no_trainer` example to include `accelarator.gather_metrics`
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https://api.github.com/repos/huggingface/transformers/issues/18467 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18467/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18467/comments | https://api.github.com/repos/huggingface/transformers/issues/18467/events | https://github.com/huggingface/transformers/pull/18467 | 1,328,248,353 | PR_kwDOCUB6oc48oUtQ | 18,467 | CodeGen Fix causal mask for half precision | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Yeah let's move the discussion to: https://github.com/huggingface/transformers/pull/18471"
] | 1,659 | 1,659 | 1,659 | CONTRIBUTOR | null | # What does this PR do?
This PR forces the causal mask to stay in `torch.uint8`. An error occurs when loading a model in half precision since `torch_dtype=torch.float16` casts also the buffers in fp16. Here is a minimal script to reproduce the error:
```
import torch
from transformers import AutoTokenizer, AutoM... | {
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https://api.github.com/repos/huggingface/transformers/issues/18466 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18466/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18466/comments | https://api.github.com/repos/huggingface/transformers/issues/18466/events | https://github.com/huggingface/transformers/issues/18466 | 1,328,006,337 | I_kwDOCUB6oc5PJ8TB | 18,466 | Fused Softmax Kernels | {
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"@Sanger2000 could you add a link to the kernels from Megatron-LM? I'm curious if it could also be easily combined with a fused kernel for attention-dot-product, like FLASH attention.",
"Raw Cuda and C++ code: https://github.com/NVIDIA/Megatron-LM/tree/main/megatron/fused_kernels\r\n\r\nThis can then be easily ad... | 1,659 | 1,674 | 1,662 | NONE | null | ### Feature request
Optional Fused Softmax Cuda kernels for transformer implementations.
Megatron-LM has implemented these [here](https://github.com/NVIDIA/Megatron-LM/tree/main/megatron/fused_kernel), and they offer massive speedups for models under 10B params when training at 2048 sequence lengths. In my experi... | {
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https://api.github.com/repos/huggingface/transformers/issues/18465 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18465/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18465/comments | https://api.github.com/repos/huggingface/transformers/issues/18465/events | https://github.com/huggingface/transformers/issues/18465 | 1,327,922,988 | I_kwDOCUB6oc5PJn8s | 18,465 | How to embed relational information in a Transformer for NMT task? | {
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"What is the input to the transformer going to be? Is it more like:\r\n\r\n> He ended his meeting on Tuesday night.\r\n\r\nbut with the graph data encoded into the embeddings somehow? Or more like:\r\n\r\n> end-01 He meet-03 data-entity Tuesday night\r\n\r\nwith the graph data iteslf as input?",
"The graph could ... | 1,659 | 1,662 | 1,662 | NONE | null | ### Feature request
Embedding relational information for a transformer
### Motivation
I am using Transformer model form huggingface for machine translation. However, my input data has relational information as shown below:
\r\n\r\ncc @sgugger ",
"I have very strong thoughts about trying to statically type-checking a dynamically typed language which would take too long to express here. But this ... | 1,659 | 1,663 | 1,663 | NONE | null | ### System Info
Python version - 3.9
transformers version - 4.20.1
### Who can help?
@sgugger
### Information
- [ ] The official example scripts
- [X] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or dataset (give detail... | {
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"Hi @sajastu Could you share a (minimal) code snippet that could reproduce this issue? Thank you.",
"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 ... | 1,659 | 1,663 | 1,663 | NONE | null | ### System Info
I’m trying to run a Huggingface model on a multi-GPU environment. The problem is that when I’m processing multiple inputs which are bound to each other from a single class (shared-weights encoder), I’m getting `RuntimeError: Expected to mark a variable ready only once`. While if I use this encoder modu... | {
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https://api.github.com/repos/huggingface/transformers/issues/18462 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18462/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18462/comments | https://api.github.com/repos/huggingface/transformers/issues/18462/events | https://github.com/huggingface/transformers/pull/18462 | 1,327,826,024 | PR_kwDOCUB6oc48m8g8 | 18,462 | [FLAX] Add dtype to embedding for gpt2 model | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thanks @merrymercy, I've noticed that we omit the `dtype` arg from all Flax `nn.Embed` modules! @patil-suraj is there a reason why we do this?\r\n\r\nBART:\r\nhttps://github.com/huggingface/transformers/blob/ab2006e3d6db88654526a4169... | 1,659 | 1,668 | 1,666 | CONTRIBUTOR | null | # What does this PR do?
Add dtype to embedding for gpt2 models. This dtype is necessary for mixed precision training.
## Who can review?
@patrickvonplaten, @LysandreJik
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"This has been resolved by using a smaller learning rate.",
"hello, \r\n\r\nI meet exactly the same problem. My bart model always generate the same content no matter what the input is. How you solve your problem?\r\n\r\nThanks \r\n\r\n",
"@xienian87 I retrained the model with a smaller learning rate and the pro... | 1,659 | 1,681 | 1,659 | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.21.0
- Platform: Linux-5.10.102.1-microsoft-standard-WSL2-x86_64-with-glibc2.31
- Python version: 3.9.13
- Huggingface_hub version: 0.8.1
- PyTorch version (GPU?): 1.12.0+cu113 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): no... | {
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https://api.github.com/repos/huggingface/transformers/issues/18460 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18460/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18460/comments | https://api.github.com/repos/huggingface/transformers/issues/18460/events | https://github.com/huggingface/transformers/pull/18460 | 1,327,452,367 | PR_kwDOCUB6oc48luC2 | 18,460 | Fix torch version comparisons (helps with +cu*** or +cpu official builds) | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Wow very cool @LSinev !"
] | 1,659 | 1,661 | 1,659 | CONTRIBUTOR | null | Comparisons like `version.parse(torch.__version__) > version.parse("1.6")`
are `True` for `torch==1.6.0+cu101` or `torch==1.6.0+cpu` (which is not intended, I suppose).
So `version.parse(version.parse(torch.__version__).base_version)` comparisons are preferred (and used in pytorch_utils.py but not in other places).... | {
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https://api.github.com/repos/huggingface/transformers/issues/18459 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18459/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18459/comments | https://api.github.com/repos/huggingface/transformers/issues/18459/events | https://github.com/huggingface/transformers/pull/18459 | 1,327,444,299 | PR_kwDOCUB6oc48lsTK | 18,459 | Add machine type in the artifact of Examples directory job | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"(I should have run the job and make sure it works before requesting review - ending up a few more commits to fix things, sorry)"
] | 1,659 | 1,662 | 1,659 | COLLABORATOR | null | # What does this PR do?
We have
<img width="257" alt="Screenshot 2022-08-03 174611" src="https://user-images.githubusercontent.com/2521628/182652043-02a031a1-c8b9-457a-8876-130a37099075.png">
even when there are some errors in `Examples directory` test.
(relevant run: https://github.com/huggingface/transformers... | {
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https://api.github.com/repos/huggingface/transformers/issues/18458 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18458/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18458/comments | https://api.github.com/repos/huggingface/transformers/issues/18458/events | https://github.com/huggingface/transformers/pull/18458 | 1,327,425,868 | PR_kwDOCUB6oc48loWc | 18,458 | Compute true loss Flax examples | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@duongna21 super sorry it seems like the git commit history got messed up :-/ Any chance you could re-submit your PR? "
] | 1,659 | 1,665 | 1,665 | CONTRIBUTOR | null | # What does this PR do?
'True' losses should be computed in Flax examples, as [discussed](https://github.com/huggingface/transformers/pull/18297#discussion_r931971230) with @sanchit-gandhi.
## Who can review?
cc @sanchit-gandhi @patrickvonplaten
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,659 | 1,659 | 1,659 | MEMBER | null | # What does this PR do?
This PR enables to use the `HFTracer` "meta-tracing" features to trace any Python callable / `torch.nn.Module`.
For `transformers.PreTrainedModel`s, the method `HFTracer._generate_dummy_inputs` already takes care of creating the original dummy inputs needed to handle data-dependent control... | {
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https://api.github.com/repos/huggingface/transformers/issues/18456 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18456/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18456/comments | https://api.github.com/repos/huggingface/transformers/issues/18456/events | https://github.com/huggingface/transformers/pull/18456 | 1,327,399,379 | PR_kwDOCUB6oc48lih7 | 18,456 | fix ONNX support for bloom | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,659 | 1,659 | 1,659 | MEMBER | null | Merged on https://github.com/huggingface/transformers/pull/18344
This PR aims to fix ONNX export of bloom. All the following tests are passing:
```
RUN_SLOW=1 pytest tests/onnx/test_onnx_v2.py -k "bloom"
RUN_SLOW=1 pytest tests/models/bloom/test_modeling_bloom.py
``` | {
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https://api.github.com/repos/huggingface/transformers/issues/18455 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18455/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18455/comments | https://api.github.com/repos/huggingface/transformers/issues/18455/events | https://github.com/huggingface/transformers/issues/18455 | 1,327,377,278 | I_kwDOCUB6oc5PHit- | 18,455 | understand differences in tokenization | {
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"This is because the languages you're translating between (Engish and German in this case) have different tokenization vocabularies. This implies that tokens will get tokenized differently. MarianMT models have seq2seq (encoder-decoder) architectures, and both the encoder and decoder each have their own embedding m... | 1,659 | 1,665 | 1,662 | NONE | null | hi,
I'm trying to understand the tokenization in MarianTokenizer
I run the following code
from transformers import MarianTokenizer
model_name='Helsinki-NLP/opus-mt-en-de'
model = MarianMTModel.from_pretrained(model_name,tokenizer= tokenizer, **kwargs)
tokenizer.tokenize("doctor")
['▁doctor']
with tokeni... | {
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https://api.github.com/repos/huggingface/transformers/issues/18454 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18454/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18454/comments | https://api.github.com/repos/huggingface/transformers/issues/18454/events | https://github.com/huggingface/transformers/pull/18454 | 1,327,304,302 | PR_kwDOCUB6oc48lN1x | 18,454 | disable Onnx test for google/long-t5-tglobal-base | {
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"Adding @regisss as a reviewer as this is suggested by GitHub automatically 😄 ",
"_The documentation is not available anymore as the PR was closed or merged._",
"I will tag lewis when he is back.",
"Hi @lewtun !\r\n\r\nCould you take a look at this ONNX test? Thank you."
] | 1,659 | 1,662 | 1,659 | COLLABORATOR | null | # What does this PR do?
For `("longt5", "google/long-t5-tglobal-base")`, we get
```bash
Floating point exception (core dumped)
```
in this call
https://github.com/huggingface/transformers/blob/fc546332d7a9395323f656635362c9e0f3c4161a/src/transformers/onnx/convert.py#L404
Let's disable it for now, so other ... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"> Thanks for adding! Although I think we need to split up that long list of notebooks by modality/task.\r\n\r\nI agree! I will add another PR to organize the notebooks page."
] | 1,659 | 1,659 | 1,659 | CONTRIBUTOR | null | Adds OWL-ViT demo notebook links to the official notebooks docs.
I'm currently working on adding TF support for this model and we'll be promoting it soon. | {
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"Hey @Ravisankar13, could you please provide the script you have used, the deepspeed config, as well as the full stacktrace? It will be hard to help you with so little information.\r\n\r\ncc @stas00 ",
"@Ravisankar13, please see the work-in-progress here:\r\nhttps://github.com/bigscience-workshop/Megatron-DeepSpe... | 1,659 | 1,663 | 1,663 | NONE | null | ### System Info
I was able to load the Bloom-2b5 Model onto my Colab notebook for text generation(Inference). When I use Deepspeed to load the model and try to inference the memory is not sufficient. I don't understand because with the help of deepspeed i should be able to load the larger model or atleast the same mod... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"This is now ready for review @sgugger @gante! I'm tracking down a couple of remaining bugs in the tests and doing some final manual checks, but almost everything should be finished by now.\r\n\r\nI realize it's a very large PR, but y... | 1,659 | 1,660 | 1,660 | MEMBER | null | This PR is a rewrite of the TF examples, including several modern methods. I'm focusing on updating everything to use modern methods like `prepare_tf_dataset` and the `evaluate` library as well as adding features and functionality I missed when I first ported them, since `transformers` TF support was much shakier when ... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_18450). All of your documentation changes will be reflected on that endpoint.",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please... | 1,659 | 1,666 | 1,666 | CONTRIBUTOR | null | Adds TensorFlow support for the [OWL-ViT](https://huggingface.co/docs/transformers/model_doc/owlvit) model.
- Creates transformers/models/owlvit/modeling_tf_owlvit.py
- Creates tests/models/owlvit/test_modeling_tf_owlvit.py
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_18449). All of your documentation changes will be reflected on that endpoint."
] | 1,659 | 1,660 | 1,660 | NONE | null | # What does this PR do?
In the implementation of the BLOOM model, on line 307, a tensor is made but not moved to a device. By default this is cpu but if someone wants to use a gpu then this will cause the code to throw an error. @patrickvonplaten, @LysandreJik
## Before submitting
- [N] This PR fixes a typo or i... | {
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https://api.github.com/repos/huggingface/transformers/issues/18448 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18448/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18448/comments | https://api.github.com/repos/huggingface/transformers/issues/18448/events | https://github.com/huggingface/transformers/pull/18448 | 1,327,046,048 | PR_kwDOCUB6oc48kVv5 | 18,448 | Update pinned hhub version | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"I still need to update https://github.com/huggingface/transformers/blob/main/src/transformers/dependency_versions_table.py, will do once back in laptop and let you know",
"Thank you :hugs: "
] | 1,659 | 1,659 | 1,659 | MEMBER | null | # What does this PR do?
This PR updates the `huggingface_hub` pinned version. https://github.com/huggingface/transformers/pull/18366 uses new versions from the library which are not supported in previous versions, so we need to upgrade here.
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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... | 1,659 | 1,662 | 1,662 | NONE | null | ### System Info
- `transformers` version: 4.19.0.dev0
- Platform: Linux-4.19.129-aufs-1-x86_64-with-debian-10.1
- Python version: 3.7.3
- Huggingface_hub version: 0.5.1
- PyTorch version (GPU?): 1.11.0+cu102 (False)
- Tensorflow version (GPU?): 2.8.0 (False)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
-... | {
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"What would be the output like @NielsRogge ?\r\n\r\nMy understanding is that depth is just a gray scale image (black = infinitely far, white = infinitely close).\r\n\r\n\r\nIf that's the case It seems really close to `image-segmentation` in the sense that it's generating a new image from the original image, so we ... | 1,659 | 1,665 | 1,665 | CONTRIBUTOR | null | ### Feature request
We currently have 2 monocular depth estimation models in the library, namely [DPT](https://huggingface.co/docs/transformers/model_doc/dpt) and [GLPN](https://huggingface.co/docs/transformers/model_doc/glpn).
It would be great to have a pipeline for this task, with the following API:
```
fr... | {
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"As seen with @alaradirik this morning, this could also be leveraging the custom pipeline feature that was implemented last week, especially if this pipeline works with a very limited number of artchitectures.\r\n\r\ncf https://github.com/huggingface/transformers/pull/18079",
"cc @alaradirik ",
"Can I take this... | 1,659 | 1,666 | 1,666 | CONTRIBUTOR | null | ### Feature request
We currently have [OWL-ViT](https://huggingface.co/docs/transformers/main/model_doc/owlvit) in the library, which is capable of performing zero-shot object detection.
It would be great to have a pipeline for this task, with the following API:
```
from transformers import pipeline
pipe =... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Hey @Narsil. I've managed to get this working for greedy decoding and multimodal sampling. For beam-search, what would be the best approach to deal with a stop_sequence? I've assumed that if a stop_sequence appears in any of the beam... | 1,659 | 1,664 | 1,664 | CONTRIBUTOR | null | # What does this PR do?
As per the conversation in https://github.com/huggingface/transformers/issues/17562, creating this draft PR to add a stop_sequence option to text generation pipelines.
Fixes # (issue)
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other chec... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thanks again for your contribution!"
] | 1,659 | 1,659 | 1,659 | CONTRIBUTOR | null | # What does this PR do?
<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
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I'm trying to convert the BERT TF1 checkpoint provided in [MLPerf GDrive](https://drive.google.com/drive/folders/1oQF4diVHNPCclykwdvQJw8n_VIWwV0PT?usp=sharing) to a HF BERT model using the following transformer-cli command provided in [HF documentation](https://huggingface.co/docs/transformers/converti... | {
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] | 1,659 | 1,659 | 1,659 | MEMBER | null | This PR moves GroupViT and LXMert to their correct sections. As pointed out by @NielsRogge and @LysandreJik, GroupViT and LXMert are both multimodal models. | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_18439). All of your documentation changes will be reflected on that endpoint.",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please... | 1,659 | 1,690 | 1,662 | NONE | null | Integrate FlashAttention.
- Requires https://github.com/pytorch/pytorch/pull/81434 to work. torch._scaled_dot_product_attention is only there.
- Turn on fast path or go back to slow path using fast_attention=True/False flag.
- Turn on causal mask or turn it off for the fast attention path using fast_attention_... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Yay! TYSM!!!"
] | 1,659 | 1,660 | 1,659 | COLLABORATOR | null | # What does this PR do?
This PR migrates Transformers to fully rely on `huggingface_hub` for the internal download and cache of all objects in Transformers (models, configs, tokenizers, feature extractors etc). To achieve this, a new function `cached_file` is introduced to replace the old `cached_path`, which relies... | {
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"Hi @muellerzr opened PR #18443 for first three examples in the list.",
"Hi @muellerzr I opened this PR https://github.com/huggingface/transformers/pull/18468 for the 4th example and ran it locally.\r\nPlease let me know if there is any changes, you would like done on this example, And I'll update it and add the... | 1,659 | 1,672 | 1,672 | CONTRIBUTOR | null | ### Feature request
🤗 Accelerate has a wrapper to help with distributed metric calculation (a tough problem!), and the `no_trainer` scripts should be updated to include it!
An example can be seen [here](https://github.com/huggingface/accelerate/blob/main/examples/nlp_example.py#L163-L169), below is an example d... | {
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"Hi @muellerzr \r\n\r\nI took a go at this (accelerate seems awesome!), and implemented the changes quickly. However, I noticed some performance degredation when using the the gradient accumulation wrapper. \r\n\r\nAfter some debugging, I think it stems from the lr_scheduler implementation in accelerate updating le... | 1,659 | 1,698 | null | CONTRIBUTOR | null | ### Feature request
🤗 Accelerate has a gradient accumulation wrapper, and the `no_trainer` scripts should be updated to include it!
An example can be seen [here](https://github.com/huggingface/accelerate/blob/main/examples/by_feature/gradient_accumulation.py), below is an example diff of what the integration wo... | {
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https://api.github.com/repos/huggingface/transformers/issues/18435 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18435/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18435/comments | https://api.github.com/repos/huggingface/transformers/issues/18435/events | https://github.com/huggingface/transformers/pull/18435 | 1,326,351,330 | PR_kwDOCUB6oc48iCUE | 18,435 | fixing error when using sharded ddp | {
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] | 1,659 | 1,659 | 1,659 | CONTRIBUTOR | null | # What does this PR do?
Fixes #18410
1. conditional logic fixed
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [X] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md#start... | {
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] | 1,659 | 1,659 | 1,659 | CONTRIBUTOR | null | The current wording makes it sound as if the programming languages are part of the 46 natural languages. This PR adds the exact number of programming languages to avoid confusion.
# What does this PR do?
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"Adding `padding=True` when tokenizing both the input and targets does not fix the issue.",
"Also, when running the script using the CPU only, I get this error:\r\n\r\n```\r\nroot@pc:~ # CUDA_VISIBLE_DEVICES=\"\" python script_blenderbot_length.py \r\n100%|██████████████████████████| 1/1 [00:00<00:00, 4.95ba/s]\... | 1,659 | 1,662 | 1,662 | CONTRIBUTOR | null | ### System Info
transformers version: 4.20.1, 4.21.0
Platform: Linux
Python version: 3.7.6
Huggingface_hub version: 0.8.1
PyTorch version (GPU?): 1.10.2 (Yes)
Tensorflow version (GPU?): not installed (NA)
Flax version (CPU?/GPU?/TPU?): not installed (NA)
Jax version: not installed
JaxLib version: not install... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Looks like we just need a quick `make style` to be ready to merge :-)",
"Mmm no the formatting has done something very wrong here, we can't have that. There is likely some syntax error in the docstring.\r\nProblem looks to be in th... | 1,659 | 1,659 | 1,659 | CONTRIBUTOR | null | # What does this PR do?
Just a continuation PR of https://github.com/huggingface/transformers/pull/18198 for TF and FLAX code
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
## Who can review?
@sgugger @gante
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https://api.github.com/repos/huggingface/transformers/issues/18431 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18431/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18431/comments | https://api.github.com/repos/huggingface/transformers/issues/18431/events | https://github.com/huggingface/transformers/issues/18431 | 1,326,110,614 | I_kwDOCUB6oc5PCteW | 18,431 | Make Tokenizers serializable to TF SavedModel format | {
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"cc @Rocketknight1, I believe you've been looking into something similar.",
"Hi @piEsposito, this is something we've been working on! Right now it's only available for BERT, but we intend to expand it to other models, particularly now that we're seeing interest in it. You can use the [TFBertTokenizer](https://hug... | 1,659 | 1,683 | 1,662 | CONTRIBUTOR | null | ### Feature request
It would be great if we could serialize our tokenizers into the TF SavedModel format, so that we could deploy it to TF Serving without a handler to tokenize our inputs.
### Motivation
It is frustrating to have to write a Python, JS or Rust handler every time I want to deploy a huggingface/... | {
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https://api.github.com/repos/huggingface/transformers/issues/18430 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18430/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18430/comments | https://api.github.com/repos/huggingface/transformers/issues/18430/events | https://github.com/huggingface/transformers/issues/18430 | 1,326,087,760 | I_kwDOCUB6oc5PCn5Q | 18,430 | Increase notebooks page visibility | {
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"I wouldn't merge the community notebooks page with the notebooks page, just make the link work again. I think it's important to separate what we officially support from what we don't. Organizing things a bit better would certainly be welcome, as always, happy to look at a PR!\r\n\r\nSame for fixing some of the not... | 1,659 | 1,662 | 1,662 | CONTRIBUTOR | null | Hi, I was looking at the [notebooks page](https://huggingface.co/docs/transformers/notebooks) and I noticed that the community notebooks link is broken and some of the official notebooks are outdated and throw errors when run.
It would be great to reorganize the notebooks page such that:
1) The [community page ](h... | {
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https://api.github.com/repos/huggingface/transformers/issues/18429 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18429/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18429/comments | https://api.github.com/repos/huggingface/transformers/issues/18429/events | https://github.com/huggingface/transformers/pull/18429 | 1,326,087,102 | PR_kwDOCUB6oc48hI1P | 18,429 | [TENTATIVe] Attempt to reduce number of HEAD calls during model warmup. | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_18429). All of your documentation changes will be reflected on that endpoint.",
"Ok, marking as draft while the other PR is being worked on.",
"@sgugger If you want to take a look a the tests.\r\n\r\nRight now the tests a... | 1,659 | 1,664 | 1,664 | CONTRIBUTOR | null | # What does this PR do?
When doing model loading with the various tools within `transformers` there's actually
a lot of duplicate HEAD calls that cost network time and duplicate usage in an unecessary fashion.
For instance when doing a simple `pipeline(model="gpt2")`
You're getting
```
Fetching https://hug... | {
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https://api.github.com/repos/huggingface/transformers/issues/18428 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18428/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18428/comments | https://api.github.com/repos/huggingface/transformers/issues/18428/events | https://github.com/huggingface/transformers/pull/18428 | 1,326,063,760 | PR_kwDOCUB6oc48hD65 | 18,428 | Accept `trust_remote_code` and ignore it in `PreTrainedModel.from_pretrained` | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@sgugger FYI:\r\n\r\nI applied the change to TF and Flax `PreTrainedModel` (which is necessary, at least for TF), as well as `PretrainedConfig`.\r\nLeave the tokenizer class and feature extractor class for now"
] | 1,659 | 1,662 | 1,659 | COLLABORATOR | null | # What does this PR do?
Hope my understanding is correct. Let me know if I should apply the same change to `ProcessorMixin`, `PreTrainedTokenizerBase` etc. | {
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https://api.github.com/repos/huggingface/transformers/issues/18427 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18427/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18427/comments | https://api.github.com/repos/huggingface/transformers/issues/18427/events | https://github.com/huggingface/transformers/pull/18427 | 1,326,040,773 | PR_kwDOCUB6oc48g-8d | 18,427 | fix: data2vec-vision Onnx ready-made configuration. | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@lewtun @LysandreJik maybe you could take a look or point me to the correct person. Thanks!",
"cc @michaelbenayoun @JingyaHuang as Lewis is off for a few weeks :)",
"What is the best practice in this case for the test that faile... | 1,659 | 1,660 | 1,660 | CONTRIBUTOR | null | # What does this PR do?
This PR adds the missing config for the ONNX data2vec config for images. It is stated in the [docs](https://huggingface.co/docs/transformers/serialization) that there is a default config for the facebook/data2vec-vision-base but this is currently not working and gives
```
...
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https://api.github.com/repos/huggingface/transformers/issues/18426 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18426/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18426/comments | https://api.github.com/repos/huggingface/transformers/issues/18426/events | https://github.com/huggingface/transformers/pull/18426 | 1,325,980,678 | PR_kwDOCUB6oc48gx9W | 18,426 | Add Speech-to-Speech Translation (S2ST) | {
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"Pipeline:\r\n\r\n\r\n\r\nThis is effectively an encoder-decoder-vocoder configuration:\r\n\r\n- The feature extractor normalises the audio inputs.\r\n- The encoder maps the (normalised) audio inputs to... | 1,659 | 1,673 | 1,673 | CONTRIBUTOR | null | # What does this PR do?
Adds the S2ST models from the paper [Enhanced Direct Speech-to-Speech Translation Using Self-supervised Pre-training and Data Augmentation (Popuri et al. 2022)](https://arxiv.org/abs/2204.02967).
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the oth... | {
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https://api.github.com/repos/huggingface/transformers/issues/18425 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18425/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18425/comments | https://api.github.com/repos/huggingface/transformers/issues/18425/events | https://github.com/huggingface/transformers/issues/18425 | 1,325,929,386 | I_kwDOCUB6oc5PCBOq | 18,425 | BartLearnedPositionalEmbedding's forward method signature obstructs private (Opacus) training of BART | {
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"Tagging @sgugger as you have previously shown support for private training of HF models via Opacus.",
"Happy to look at a PR that fixes the issue!",
"Fantastic, I'll create it now 👍",
"@donebydan Hi, have you generated the fine-tuned BART with OPACUS? I'm working on it and changed the code to a merged one. ... | 1,659 | 1,666 | 1,660 | CONTRIBUTOR | null | ### System Info
-`transformers` version: 4.20.1
-Platform: Linux-5.4.0-1086-azure-x86_64-with-glibc2.17
-Python version: 3.8.13
-Huggingface_hub version: 0.8.1
-PyTorch version (GPU?): 1.9.1+cu102 (False)
-Tensorflow version (GPU?): not installed (NA)
-Flax version (CPU?/GPU?/TPU?): not installed (NA)
-Jax ve... | {
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https://api.github.com/repos/huggingface/transformers/issues/18424 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18424/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18424/comments | https://api.github.com/repos/huggingface/transformers/issues/18424/events | https://github.com/huggingface/transformers/issues/18424 | 1,325,916,378 | I_kwDOCUB6oc5PB-Da | 18,424 | Cannot replicate T5 performance on WMT14 | {
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"Hey @ekurtulus, such a low BLEU score looks indeed suspicious! Do you have any training stats / logs / graphs to share? ",
"Just a tip: It might be a good idea to save the predictions (here the translation) during evaluation, so we can look into them to see what might goes wrong.\r\n\r\nWhen saving the translat... | 1,659 | 1,669 | 1,667 | NONE | null | ### System Info
I am trying to replicate T5 finetuning on WMT with the following hyperparameters (as close as possible to the paper https://www.jmlr.org/papers/volume21/20-074/20-074.pdf):
--model_name_or_path t5-small
--source_lang en
--target_lang de
--dataset_name stas/wmt14-en-de-pre-processed
--max_sourc... | {
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https://api.github.com/repos/huggingface/transformers/issues/18423 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18423/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18423/comments | https://api.github.com/repos/huggingface/transformers/issues/18423/events | https://github.com/huggingface/transformers/pull/18423 | 1,325,885,532 | PR_kwDOCUB6oc48gdfU | 18,423 | update maskformer docs | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,659 | 1,665 | 1,659 | CONTRIBUTOR | null | - Updates the MaskFormer docs: _is_thing_map_ -> _label_ids_to_fuse_
See this [issue](https://github.com/huggingface/transformers/issues/18157).
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https://api.github.com/repos/huggingface/transformers/issues/18422 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18422/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18422/comments | https://api.github.com/repos/huggingface/transformers/issues/18422/events | https://github.com/huggingface/transformers/pull/18422 | 1,325,843,007 | PR_kwDOCUB6oc48gUO6 | 18,422 | Fix `test_load_default_pipelines_tf` test error | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,659 | 1,662 | 1,659 | COLLABORATOR | null | # What does this PR do?
My change in #18292 needs to add `tf` under `default` key (for `image-classification`), otherwise we have
```bash
FAILED tests/pipelines/test_pipelines_common.py::PipelineUtilsTest::test_load_default_pipelines_tf
```
with error message
```bash
else:
# normal ca... | {
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https://api.github.com/repos/huggingface/transformers/issues/18421 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18421/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18421/comments | https://api.github.com/repos/huggingface/transformers/issues/18421/events | https://github.com/huggingface/transformers/pull/18421 | 1,325,614,649 | PR_kwDOCUB6oc48fjCC | 18,421 | Change audio kwarg to images in TROCR processor | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,659 | 1,662 | 1,659 | COLLABORATOR | null | # What does this PR do?
Fix a bug in TROCR processor introduced in #18325
Currently, we have [failed job run](https://github.com/huggingface/transformers/runs/7603716998?check_suite_focus=true) with error
```bash
if audio is None and text is None:
> raise ValueError("You need to specify eit... | {
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https://api.github.com/repos/huggingface/transformers/issues/18420 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18420/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18420/comments | https://api.github.com/repos/huggingface/transformers/issues/18420/events | https://github.com/huggingface/transformers/pull/18420 | 1,325,577,554 | PR_kwDOCUB6oc48fbE1 | 18,420 | add `transformers-cli pt-to-flax` | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_18420). All of your documentation changes will be reflected on that endpoint.",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please... | 1,659 | 1,669 | 1,669 | COLLABORATOR | null | # What does this PR do?
Following the addition of the `transformers-cli pt-to-tf` command, this uses the same scipt to convert to `FLAX`. [Since another PR](https://github.com/huggingface/transformers/pull/18419) | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Okay 👍🏻 Thanks for the review gonna fix that asap ! "
] | 1,659 | 1,660 | 1,660 | COLLABORATOR | null | # What does this PR do?
Add conversion to `flax` from sharded `pytroch` checkpoints. Follows #18026 which was closed to rename the branch (no really necessary, sorry for the inconvenience). Should fix #17537
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https://api.github.com/repos/huggingface/transformers/issues/18418 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18418/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18418/comments | https://api.github.com/repos/huggingface/transformers/issues/18418/events | https://github.com/huggingface/transformers/pull/18418 | 1,325,555,228 | PR_kwDOCUB6oc48fWML | 18,418 | Fix the hub user name in a longformer doctest checkpoint | {
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"cc @ArthurZucker ",
"_The documentation is not available anymore as the PR was closed or merged._",
"Checked with the last run (May 18th -- sorry I should check doctest status much earlier), it worked with the previous checkpoint string, which suggests that the user renamed since then.\r\n\r\nI agree with you ... | 1,659 | 1,662 | 1,659 | COLLABORATOR | null | # What does this PR do?
`jpelhaw` not exist on hub, and test fails at this moment.
Run locally with this PR: doctest pass for this model now. | {
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https://api.github.com/repos/huggingface/transformers/issues/18417 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18417/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18417/comments | https://api.github.com/repos/huggingface/transformers/issues/18417/events | https://github.com/huggingface/transformers/issues/18417 | 1,325,470,607 | I_kwDOCUB6oc5PAROP | 18,417 | run_clip.py RuntimeError | {
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"Hey @gongshaojie12, thanks for the issue! Could you please provide the full command you run? cc @ydshieh; I believe you have worked with this script in the past",
"@gongshaojie12 Could you also provide a bit more information. For example, do you download and use the COCO dataset as in the README?",
"Hey @ydshi... | 1,659 | 1,659 | 1,659 | NONE | null | ### System Info
- `transformers` version: 4.22.0.dev0
- Platform: Linux-3.10.0-957.el7.x86_64-x86_64-with-glibc2.17
- Python version: 3.9.12
- Huggingface_hub version: 0.8.1
- PyTorch version (GPU?): 1.12.0+cu102 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installe... | {
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https://api.github.com/repos/huggingface/transformers/issues/18416 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18416/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18416/comments | https://api.github.com/repos/huggingface/transformers/issues/18416/events | https://github.com/huggingface/transformers/pull/18416 | 1,325,426,325 | PR_kwDOCUB6oc48e6ZR | 18,416 | Add missing lang tokens in M2M100Tokenizer.get_vocab | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"A friendly re-ping to @patil-suraj :hugs: ",
"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 tha... | 1,659 | 1,666 | 1,666 | CONTRIBUTOR | null | # What does this PR do?
The lang tokens were missing from `M2M100Tokenizer.get_vocab`. The `get_vocab` method is updated to match other multilingual tokenizers such as `NllbTokenizer` and `MBart50Tokenizer`.
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@omarespejel, can you help me review this PR, please?",
"Hi @donelianc! Amazing translation. I only found a few nits in my review.",
"@omarespejel, thanks for your great review! I submitted the suggested changes in my previous co... | 1,659 | 1,659 | 1,659 | CONTRIBUTOR | null | # What does this PR do?
<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
Then, please replace this w... | {
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https://api.github.com/repos/huggingface/transformers/issues/18414 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18414/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18414/comments | https://api.github.com/repos/huggingface/transformers/issues/18414/events | https://github.com/huggingface/transformers/pull/18414 | 1,325,312,818 | PR_kwDOCUB6oc48einN | 18,414 | Add DocumentQuestionAnswering pipeline | {
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"@Narsil this is basically a skeleton implementation that I thought I'd send out sooner than later to start getting your input.\r\n\r\nI've left a few questions throughout tagged with \"TODO\" in the comments. The big question is how much/whether to reuse the code in QuestionAnsweringPipeline, which has a lot of ov... | 1,659 | 1,691 | 1,662 | CONTRIBUTOR | null | # What does this PR do?
This PR extends VisualQuestionAnsweringPipeline to accept `words` and `boxes` as input, passes them into the tokenizer/model (along with the question), and post-processes their `QuestionAnsweringModelOutput` response.
Fixes #18380
## Before submitting
- [ ] This PR fixes a typo or i... | {
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https://api.github.com/repos/huggingface/transformers/issues/18413 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18413/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18413/comments | https://api.github.com/repos/huggingface/transformers/issues/18413/events | https://github.com/huggingface/transformers/issues/18413 | 1,325,310,941 | I_kwDOCUB6oc5O_qPd | 18,413 | Tranformers documentation translation to Japanese 🇯🇵 | {
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"cc @younesbelkada as we talked about that last week",
"That's great 🔥 !\r\nLinking this issue to the one on HF course: https://github.com/huggingface/course/issues/114 ",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed pl... | 1,659 | 1,697 | 1,697 | CONTRIBUTOR | null | Hi!
Let's bring the documentation to all the Japanese-speaking community :)
Who would want to translate? Please follow the 🤗 [TRANSLATING guide](https://github.com/huggingface/transformers/blob/main/docs/TRANSLATING.md). Here is a list of the files ready for translation. Let us know in this issue if you'd like t... | {
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https://api.github.com/repos/huggingface/transformers/issues/18412 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18412/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18412/comments | https://api.github.com/repos/huggingface/transformers/issues/18412/events | https://github.com/huggingface/transformers/pull/18412 | 1,325,239,834 | PR_kwDOCUB6oc48eTFk | 18,412 | fix: keras fit tests for segformer tf and minor refactors. | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Pinging @gante as this week's TF reviewer!",
"> (question: why is test_keras_fit entirely overwritten?)\r\n\r\n1. The `TFSegFormerModel` class doesn't support the fit test since we can't compute loss on embeddings. \r\n2. The label... | 1,659 | 1,659 | 1,659 | MEMBER | null | Fixes the issues as noticed in: https://github.com/huggingface/transformers/runs/7485048615?check_suite_focus=true.
I don't have access to an instance having multiple GPUs at the moment, but I figured out the root cause of the issue.
https://github.com/huggingface/transformers/blob/df5e4232f59e6fea08911eddd0adc... | {
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https://api.github.com/repos/huggingface/transformers/issues/18411 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18411/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18411/comments | https://api.github.com/repos/huggingface/transformers/issues/18411/events | https://github.com/huggingface/transformers/issues/18411 | 1,325,147,182 | I_kwDOCUB6oc5O_CQu | 18,411 | `assertion failed: stride < max_len` when using tokenizer with text_pair | {
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"I'd like to provide an update on my own ticket. Although I still have no idea what causes this behavior and despite probably not being relevant for most practical applications, it seems like the truncation is enforcing that the shortest of the two texts after the truncation is at least 3 tokens long. The resulting... | 1,659 | 1,662 | 1,662 | NONE | null | ### System Info
transformers 4.20.1, 4.21.0 (tested with both), MacOS 12.4, Python 3.8.12
### Who can help?
@SaulLu
### Information
- [ ] The official example scripts
- [X] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [X... | {
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https://api.github.com/repos/huggingface/transformers/issues/18410 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18410/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18410/comments | https://api.github.com/repos/huggingface/transformers/issues/18410/events | https://github.com/huggingface/transformers/issues/18410 | 1,325,091,007 | I_kwDOCUB6oc5O-0i_ | 18,410 | Sharded Multi-GPU MT5 training with the Seq2SeqTrainer fails (4.21.0) | {
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"It still fails when I install `transformers` directly from the GitHub repository (as of today).\r\n\r\nHere's the traceback:\r\n```\r\nTraceback (most recent call last):\r\n File \"script.py\", line 102, in <module>\r\n main()\r\n File \"script.py\", line 98, in main\r\n trainer.train()\r\n File \"/mnt/ta... | 1,659 | 1,659 | 1,659 | CONTRIBUTOR | null | ### System Info
transformers version: 4.21.0
Platform: Linux
Python version: 3.7.6
Huggingface_hub version: 0.8.1
PyTorch version (GPU?): 1.10.2 (Yes)
Tensorflow version (GPU?): not installed (NA)
Flax version (CPU?/GPU?/TPU?): not installed (NA)
Jax version: not installed
JaxLib version: not installed
Usin... | {
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https://api.github.com/repos/huggingface/transformers/issues/18409 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18409/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18409/comments | https://api.github.com/repos/huggingface/transformers/issues/18409/events | https://github.com/huggingface/transformers/issues/18409 | 1,324,976,233 | I_kwDOCUB6oc5O-Yhp | 18,409 | Fine-tuning a pretrained model did not follow as expected from the blog posting | {
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"Please use the [forums](https://discuss.huggingface.co/) to debug your code as we keep issues for feature requests and bugs (in the library) only. It's hard to know what went wrong just from your code since we don't have access to the files you use, but my guess would be that your labels are floats instead of ints... | 1,659 | 1,662 | 1,662 | NONE | null | ### System Info
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- Python version: 3.8.10
- Huggingface_hub version: 0.8.1
- PyTorch version (GPU?): 1.12.0+cu116 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
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"_The documentation is not available anymore as the PR was closed or merged._",
"@YBooks , this PR creates another issue since deepcopy of tokenizer object is not possible when a Custom Pretokenizer is used. \r\n\r\n```python \r\ntokenizer.pre_tokenizer = Custom()\r\n```\r\n\r\nSee open issue in tokenizers here: ... | 1,659 | 1,663 | 1,659 | 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/18407 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18407/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18407/comments | https://api.github.com/repos/huggingface/transformers/issues/18407/events | https://github.com/huggingface/transformers/pull/18407 | 1,324,828,421 | PR_kwDOCUB6oc48c70K | 18,407 | Add LayoutLMForQuestionAnswering model | {
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"@Narsil I've left a few TODOs -- (1) supporting tensorflow, (2) filling in docs, (3) filling in tests -- which I'll gladly do. I just wanted to post sooner than later to start getting feedback on the approach.",
"_The documentation is not available anymore as the PR was closed or merged._",
"Ok, for this part ... | 1,659 | 1,662 | 1,661 | CONTRIBUTOR | null | # What does this PR do?
This PR adds a `LayoutLMForQuestionAnswering` class that follows the implementations of `LayoutLMv2ForQuestionAnswering` and `LayoutLMv3ForQuestionAnswering`, so that `LayoutLM` can be fine-tuned for the question answering task.
Fixes #18380
## Before submitting
- [ ] This PR fixes ... | {
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https://api.github.com/repos/huggingface/transformers/issues/18406 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18406/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18406/comments | https://api.github.com/repos/huggingface/transformers/issues/18406/events | https://github.com/huggingface/transformers/issues/18406 | 1,324,820,590 | I_kwDOCUB6oc5O9yhu | 18,406 | PreTrainedTokenizerFast with tokenizer object is acting on original tokenizer object | {
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"cc @SaulLu ",
"Hi @YBooks\r\n\r\nThank you very much for the detailed issue :hugs: ! \r\n\r\nI see that you have already proposed a fix that has been merged and that solves the problem you are pointing out. If you are happy with it, is it ok if we close this issue?",
"Hey @SaulLu \r\nYes sure. My pleasure",
... | 1,659 | 1,663 | 1,660 | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.21.0
- Platform: Windows-10-10.0.19041-SP0
- Python version: 3.9.2
- Huggingface_hub version: 0.8.1
- PyTorch version (GPU?): 1.8.1+cpu (False)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not insta... | {
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https://api.github.com/repos/huggingface/transformers/issues/18405 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18405/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18405/comments | https://api.github.com/repos/huggingface/transformers/issues/18405/events | https://github.com/huggingface/transformers/issues/18405 | 1,324,716,678 | I_kwDOCUB6oc5O9ZKG | 18,405 | Incorrect assertion in pipeline test test_dbmdz_english() | {
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"@davidbenton \r\n~~Thanks for the info, I was able to reproduce on torch `1.11.0` but this is fixed on `1.12.0`.~~\r\n\r\n~~We're aware of some modifications within the `nn.Linear` between those two versions. The errors are relatively minor actually, but since this is a random model (meaning not trained on real da... | 1,659 | 1,659 | 1,659 | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.22.0.dev0
- Platform: macOS-12.4-x86_64-i386-64bit
- Python version: 3.9.13
- Huggingface_hub version: 0.8.1
- PyTorch version (GPU?): 1.11.0 (False)
- Tensorflow version (GPU?): 2.9.1 (False)
- Flax version (CPU?/GPU?/TPU?): 0.5.2 (cpu)
- Jax version: 0.3.6
- JaxLib... | {
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https://api.github.com/repos/huggingface/transformers/issues/18404 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18404/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18404/comments | https://api.github.com/repos/huggingface/transformers/issues/18404/events | https://github.com/huggingface/transformers/issues/18404 | 1,324,698,226 | I_kwDOCUB6oc5O9Upy | 18,404 | GPT-J evaluation with multiple GPUs crashes | {
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"The issue is probably in the modeling code missing some `.contiguous()` calls.",
"I can reproduce the error with GPT-J. This also happens with Salesforce/codegen-16B-nl and EleutherAI/gpt-neox-20b. In all cases the error is RuntimeError: Tensors must be contiguous.\r\n\r\nThe problem doesn't occur with gpt2-xl a... | 1,659 | 1,674 | 1,664 | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.21.0
- Platform: Linux-3.10.0-1160.71.1.el7.x86_64-x86_64-with-glibc2.17
- Python version: 3.10.4
- Huggingface_hub version: 0.8.1
- PyTorch version (GPU?): 1.12.0+cu116 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not install... | {
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https://api.github.com/repos/huggingface/transformers/issues/18403 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18403/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18403/comments | https://api.github.com/repos/huggingface/transformers/issues/18403/events | https://github.com/huggingface/transformers/issues/18403 | 1,324,677,678 | I_kwDOCUB6oc5O9Pou | 18,403 | Cannot restore `sequences_scores` from `scores` and `beam_indices` returned by `t5-base` | {
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"Hi @namespace-Pt 👋 \r\n\r\nDoes [this function](https://github.com/huggingface/transformers/blob/dbd9641c8c0e146c078cbee11cdefcf556f6c817/src/transformers/generation_utils.py#L804) solve your issue?\r\n\r\nI noticed that it is undocumented, so it is hard to find 😬 ",
"@gante Thanks, the function worked. Howeve... | 1,659 | 1,659 | 1,659 | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.18.0
- Platform: Linux-5.10.25-nvidia-gpu-x86_64-with-glibc2.31
- Python version: 3.9.12
- Huggingface_hub version: 0.5.1
- PyTorch version (GPU?): 1.10.1 (False)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- J... | {
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https://api.github.com/repos/huggingface/transformers/issues/18402 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18402/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18402/comments | https://api.github.com/repos/huggingface/transformers/issues/18402/events | https://github.com/huggingface/transformers/pull/18402 | 1,324,655,375 | PR_kwDOCUB6oc48cYRy | 18,402 | Update pipeline word heuristic to work with whitespace in token offsets | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"The tests failures seem to have nothing to do with this PR.\r\n\r\n@LysandreJik @ydshieh maybe ?",
"@LysandreJik @ydshieh @Narsil I think the test failures are because I set up CircleCI to track my fork, just to see if the tests w... | 1,659 | 1,659 | 1,659 | CONTRIBUTOR | null | # What does this PR do?
This change checks for whitespace in the input string at either the
character preceding the token or in the first character of the token.
This works with tokenizers that return offsets excluding whitespace
between words or with offsets including whitespace.
Fixes #18111
## Before sub... | {
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https://api.github.com/repos/huggingface/transformers/issues/18401 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18401/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18401/comments | https://api.github.com/repos/huggingface/transformers/issues/18401/events | https://github.com/huggingface/transformers/issues/18401 | 1,324,601,055 | I_kwDOCUB6oc5O887f | 18,401 | Can't run the example in https://huggingface.co/transformers/v4.9.2/model_doc/blenderbot.html#transformers.BlenderbotModel | {
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"Remove this line:\r\n`inputs.pop(\"token_type_ids\")`\r\nAs for the `inputs.keys()`, the keys aren't assigned to any variable or used for any form of auxiliary calculation, so it effectively does nothing. \r\n\r\nIn other words, just run this:\r\n```python\r\nfrom transformers import BlenderbotSmallTokenizer, Blen... | 1,659 | 1,659 | 1,659 | NONE | null | Hi,
I just encountered some issue while running this example code:
from transformers import BlenderbotSmallTokenizer, BlenderbotSmallForConditionalGeneration
mname = 'facebook/blenderbot_small-90M'
model = BlenderbotSmallForConditionalGeneration.from_pretrained(mname)
tokenizer = BlenderbotSmallTokenizer.from_pr... | {
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https://api.github.com/repos/huggingface/transformers/issues/18400 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18400/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18400/comments | https://api.github.com/repos/huggingface/transformers/issues/18400/events | https://github.com/huggingface/transformers/pull/18400 | 1,324,552,793 | PR_kwDOCUB6oc48cClr | 18,400 | pytest with --forked | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_18400). All of your documentation changes will be reflected on that endpoint."
] | 1,659 | 1,662 | 1,661 | COLLABORATOR | null | # What does this PR do?
pytest with --forked | {
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https://api.github.com/repos/huggingface/transformers/issues/18399 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18399/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18399/comments | https://api.github.com/repos/huggingface/transformers/issues/18399/events | https://github.com/huggingface/transformers/pull/18399 | 1,324,469,847 | PR_kwDOCUB6oc48bw8b | 18,399 | [LayoutLMv3] Fix docs | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,659 | 1,659 | 1,659 | CONTRIBUTOR | null | # What does this PR do?
This PR fixes a non-working link and adds a link to the fine-tuning scripts. | {
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https://api.github.com/repos/huggingface/transformers/issues/18398 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18398/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18398/comments | https://api.github.com/repos/huggingface/transformers/issues/18398/events | https://github.com/huggingface/transformers/pull/18398 | 1,324,469,525 | PR_kwDOCUB6oc48bw4G | 18,398 | Fix ROUGE add example check and update README | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Failures are flaky, so merging."
] | 1,659 | 1,659 | 1,659 | COLLABORATOR | null | # What does this PR do?
This PR contains a few fixes for the examples all linked to #18381
- it adds the version check of Transformers to the `no_trainer` examples, so that the user is not surprised when the example script that uses main fails if they use a different version
- it expands the table of examples for... | {
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https://api.github.com/repos/huggingface/transformers/issues/18397 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18397/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18397/comments | https://api.github.com/repos/huggingface/transformers/issues/18397/events | https://github.com/huggingface/transformers/pull/18397 | 1,324,452,527 | PR_kwDOCUB6oc48btNI | 18,397 | Fix DETR doc test | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,659 | 1,659 | 1,659 | CONTRIBUTOR | null | # What does this PR do?
This PR fixes the doc test of `DetrForObjectDetection`. | {
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https://api.github.com/repos/huggingface/transformers/issues/18396 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18396/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18396/comments | https://api.github.com/repos/huggingface/transformers/issues/18396/events | https://github.com/huggingface/transformers/pull/18396 | 1,324,364,421 | PR_kwDOCUB6oc48bZ46 | 18,396 | Add evaluate to test dependencies | {
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"Seem to fix most tests so merging.",
"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,659 | 1,659 | 1,659 | COLLABORATOR | null | # What does this PR do?
This PR should fix all current failures on main coming from the examples being updated to use evaluate for the metrics. The problem is that some tests use those example scripts without installing the test requirements. | {
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https://api.github.com/repos/huggingface/transformers/issues/18395 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18395/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18395/comments | https://api.github.com/repos/huggingface/transformers/issues/18395/events | https://github.com/huggingface/transformers/issues/18395 | 1,324,142,117 | I_kwDOCUB6oc5O7M4l | 18,395 | GFT: Generative Fundamental Training | {
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"name": "New model",
"color": "fbca04",
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Hi,
It is just an ad of our GFT.
It has a novel attention head by fusing attention and mlp layer. It has an ultra-thin, ultra-deep architecture that maximizing model performance with minimal parameters. More interestingly, it equips a novel decoder call top-E(entropy) algorithm.
Our model ha... | {
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https://api.github.com/repos/huggingface/transformers/issues/18394 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18394/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18394/comments | https://api.github.com/repos/huggingface/transformers/issues/18394/events | https://github.com/huggingface/transformers/pull/18394 | 1,324,135,781 | PR_kwDOCUB6oc48aoDS | 18,394 | Add mt5 onnx config | {
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"I tried to convert the `google/mt5-base` model to Onnx on my local machine and it worked.\r\n\r\n```bash\r\npython -m transformers.onnx --model=google/mt5-base convert-onnx/\r\n\r\n2022-08-01 12:50:24.992612: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcudart.... | 1,659 | 1,660 | 1,660 | CONTRIBUTOR | null | # What does this PR do?
- Added MT5 Onnx Config copied from T5 Onnx Config
- Updated docs and tests files
Related to #16308 , and [optimum#321](https://github.com/huggingface/optimum/issues/321)
@patrickvonplaten, @patil-suraj, and @lewtun
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https://api.github.com/repos/huggingface/transformers/issues/18393 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18393/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18393/comments | https://api.github.com/repos/huggingface/transformers/issues/18393/events | https://github.com/huggingface/transformers/pull/18393 | 1,324,121,438 | PR_kwDOCUB6oc48ak_d | 18,393 | Fix DeiT doc tets | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"From the description & the change, it seems to me that Deit has some random OP(s) used in the inference. Is this the case (and if yes, could you share which line that random op is 🙏 ) Thank you.",
"Sure :) `DeiTForImageClassificat... | 1,659 | 1,659 | 1,659 | COLLABORATOR | null | # What does this PR do?
Fixes failing doctest for DeiT cause by copy-pasta from the PT model.
The predicted class is determinstic with the set seed. However, as RNG for pytorch and tensorflow are different, it's a different class than in the pytorch Deit doctest.
## Before submitting
- [x] This PR fixes a t... | {
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https://api.github.com/repos/huggingface/transformers/issues/18392 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18392/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18392/comments | https://api.github.com/repos/huggingface/transformers/issues/18392/events | https://github.com/huggingface/transformers/pull/18392 | 1,324,089,266 | PR_kwDOCUB6oc48ad7L | 18,392 | Fixing issue where generic model types wouldn't load properly with the pipeline | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@sgugger \r\n\r\nIt seems I had completely misunderstood what was going on there. I thought it was misconfiguration while it's more of a normal state of things (Wasn't aware we had added those generic models for vision too).\r\n\r\nM... | 1,659 | 1,659 | 1,659 | CONTRIBUTOR | null | # What does this PR do?
When this occurs https://github.com/huggingface/transformers/issues/17929
we can provide a better error message since this is detectable at load time
and the fix should happen within `transformers`.
Found out 3 odd cases which have been dealt with differently:
- `translation` actually... | {
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https://api.github.com/repos/huggingface/transformers/issues/18391 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18391/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18391/comments | https://api.github.com/repos/huggingface/transformers/issues/18391/events | https://github.com/huggingface/transformers/issues/18391 | 1,324,088,186 | I_kwDOCUB6oc5O6_t6 | 18,391 | Is run_clip.py an example of fine-tune or an example of training a vision-text model from scratch? | {
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"Hey @gongshaojie12, is the README available [here](https://github.com/huggingface/transformers/tree/main/examples/pytorch/contrastive-image-text) answering your questions?\r\n\r\nIn the [code sample](https://github.com/huggingface/transformers/tree/main/examples/pytorch/contrastive-image-text#train-the-model), you... | 1,659 | 1,660 | 1,660 | NONE | null | ### System Info
- `transformers` version: 4.21.0
- Platform: Linux-3.10.0-957.el7.x86_64-x86_64-with-glibc2.17
- Python version: 3.9.12
- Huggingface_hub version: 0.8.1
- PyTorch version (GPU?): 1.12.0+cu102 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA... | {
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https://api.github.com/repos/huggingface/transformers/issues/18390 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18390/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18390/comments | https://api.github.com/repos/huggingface/transformers/issues/18390/events | https://github.com/huggingface/transformers/issues/18390 | 1,324,073,865 | I_kwDOCUB6oc5O68OJ | 18,390 | Incorrect learning rate when using 'cosine_with_restarts' scheduler type | {
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"Could you explain to us how you are seeing the learning rate being constant? Just tried your code and adding a print statement for the learning rate at every step, and I see something that changes.",
"I'm using weight and biases at wandb.ai to keep track of my metrics\r\n: 1.12.0+cu116 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
... | {
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https://api.github.com/repos/huggingface/transformers/issues/18389 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18389/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18389/comments | https://api.github.com/repos/huggingface/transformers/issues/18389/events | https://github.com/huggingface/transformers/pull/18389 | 1,324,047,338 | PR_kwDOCUB6oc48aU_G | 18,389 | Add a check regarding the number of occurrences of ``` | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,659 | 1,662 | 1,659 | COLLABORATOR | null | # What does this PR do?
We have `TFOPTForCausalLM` doctest failed due to the wrong expected value. The file `prepare_for_doc_test.py` didn't change that model file. It comes from the existence of **``decoder_input_ids```**.
This PR adds a check, and also fixes all problematic places found with this new check. | {
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https://api.github.com/repos/huggingface/transformers/issues/18388 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18388/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18388/comments | https://api.github.com/repos/huggingface/transformers/issues/18388/events | https://github.com/huggingface/transformers/issues/18388 | 1,324,041,759 | I_kwDOCUB6oc5O60Yf | 18,388 | Mismatch between logits from generate and forward with an attention mask for most GPT models | {
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"cc @gante for generate :)",
"Hi @LaurenceA 👋\r\n\r\nWith decoder-only models, such as the ones you mentioned, padding should be done on the left. This is because the output is a continuation of the input prompt -- there would be gaps in the output without left padding. Our code to automatically prepare the posi... | 1,659 | 1,664 | 1,664 | NONE | null | ### System Info
- `transformers` version: 4.21.0
- Platform: Linux-3.10.0-1160.45.1.el7.x86_64-x86_64-with-glibc2.10
- Python version: 3.8.8
- Huggingface_hub version: 0.8.1
- PyTorch version (GPU?): 1.10.0+cu113 (False)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not install... | {
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https://api.github.com/repos/huggingface/transformers/issues/18387 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18387/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18387/comments | https://api.github.com/repos/huggingface/transformers/issues/18387/events | https://github.com/huggingface/transformers/pull/18387 | 1,323,980,497 | PR_kwDOCUB6oc48aGrO | 18,387 | Fix from_pretrained kwargs forward | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,659 | 1,659 | 1,659 | CONTRIBUTOR | null | I don't know whether `use_auth_token`, `cache_dir` and `local_files_only` should be passed to `(cls.slow_tokenizer_class)._from_pretrained`, but I guess it should.
Please correct me if anything is wrong.
# What does this PR do?
Fixes #18385
@sgugger @LysandreJik
BTW, I find #13523 and #14508 addressing si... | {
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https://api.github.com/repos/huggingface/transformers/issues/18386 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18386/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18386/comments | https://api.github.com/repos/huggingface/transformers/issues/18386/events | https://github.com/huggingface/transformers/issues/18386 | 1,323,965,266 | I_kwDOCUB6oc5O6htS | 18,386 | Process finished with exit code 139 (interrupted by signal 11: SIGSEGV) | {
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"It's likely that you have a mismatch between your torch and torch-scatter installs. Can you import torch-scatter on its own without the SIGSEGV?\r\n",
"> It's likely that you have a mismatch between your torch and torch-scatter installs. Can you import torch-scatter on its own without the SIGSEGV?\r\n\r\nhi, i h... | 1,659 | 1,669 | 1,659 | NONE | null | ### System Info
macos
pycharm
python 3.7
transformers 4.20.1
torch 1.12.0
torch-scatter. 2.0.9
tensorflow 2.3.0
### Who can help?
@NielsRogge
### Information
- [X] The official example s... | {
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https://api.github.com/repos/huggingface/transformers/issues/18385 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18385/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18385/comments | https://api.github.com/repos/huggingface/transformers/issues/18385/events | https://github.com/huggingface/transformers/issues/18385 | 1,323,931,390 | I_kwDOCUB6oc5O6Zb- | 18,385 | `local_files_only` is not passed to `_from_pretrained` in `PreTrainedTokenizerBase.from_pretrained` | {
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```python
processor = CLIPProcessor.from_pretrained("openai/clip-vit-base-patch32", local_files_only=True)
```
But request is still sent to get etag.
https://github.com/huggingface/transformers/blob/b2e4b091f08f1aaf21855d588c6c8d284baba9eb/src/transformers/tokenization_utils_base.py#L1653-L1813
`local_files... | {
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https://api.github.com/repos/huggingface/transformers/issues/18384 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18384/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18384/comments | https://api.github.com/repos/huggingface/transformers/issues/18384/events | https://github.com/huggingface/transformers/issues/18384 | 1,323,691,246 | I_kwDOCUB6oc5O5ezu | 18,384 | HPO could be enabled by a HPO configuration file(yaml or json) instead of adding code explicitly in example.py | {
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"@sgugger @yao-matrix @kding1 any comment?",
"The examples are meant to stay simple and readable so users can change them to their need (cause as mentioned in several places, they are just examples, not production apps). That's why we set the bar at training + evaluation and they don't support hyperparameters se... | 1,659 | 1,662 | 1,662 | CONTRIBUTOR | null | ### Feature request
now, the HPO should be enabled by adding some code in example.py(like run_glue.py) to indicate the HPO backend, metric, hp space. code like
```
def glue_hp_space(trial):
return [
{"bounds": {"min": 1e-6, "max": 1e-4}, "name": "learning_rate", "type": "double"},
... | {
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https://api.github.com/repos/huggingface/transformers/issues/18383 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18383/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18383/comments | https://api.github.com/repos/huggingface/transformers/issues/18383/events | https://github.com/huggingface/transformers/issues/18383 | 1,323,651,975 | I_kwDOCUB6oc5O5VOH | 18,383 | Encoder Decoder Model gives same generation results after finetuning | {
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"Hello, thanks for opening an issue! We try to keep the github issues for bugs/feature requests.\r\nCould you ask your question on the [forum](https://discuss.huggingface.co) instead?\r\n\r\nThanks!",
"> Hello, thanks for opening an issue! We try to keep the github issues for bugs/feature requests. Could you ask ... | 1,659 | 1,659 | 1,659 | NONE | null | ❓ Questions & Help
Hi, everyone. I am using transformers(v 4.20.1) and try to build a seq2seq model for multi-label classification. However, I found the model always gives same generation results after finetuning. I found two related issues in github but there seems to exist no solution.
Here's the code. Main logi... | {
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https://api.github.com/repos/huggingface/transformers/issues/18382 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18382/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18382/comments | https://api.github.com/repos/huggingface/transformers/issues/18382/events | https://github.com/huggingface/transformers/pull/18382 | 1,323,592,010 | PR_kwDOCUB6oc48YycV | 18,382 | Fix custom config loading for clip model | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_18382). All of your documentation changes will be reflected on that endpoint.",
"Hey @avinashsai, I don't understand what you're trying to do: two lines above your changes is a `self.config = config`, so you're working with... | 1,659 | 1,662 | 1,662 | NONE | null | # What does this PR do?
Fixes # (issue)
In the clip model, CLIPTextTransformer and CLIPVisionTransformer loads the original clip config file eventhough custom parameters are given in the new config file.
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https://api.github.com/repos/huggingface/transformers/issues/18381 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18381/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18381/comments | https://api.github.com/repos/huggingface/transformers/issues/18381/events | https://github.com/huggingface/transformers/issues/18381 | 1,323,515,415 | I_kwDOCUB6oc5O4z4X | 18,381 | Summarisation example fails to run on given example. Missing positional argument TypeError | {
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"Aha, that's one for @sgugger, linked to https://github.com/huggingface/transformers/pull/18325",
"You need to use the main version of Transformers to use the main version of the example scripts. You can find the examples for v4.21.0 [here](https://github.com/huggingface/transformers/tree/v4.21.0/examples).",
"... | 1,659 | 1,659 | 1,659 | NONE | null | ### System Info
```
- `transformers` version: 4.21.0
- Platform: Linux-5.4.188+-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.7.13
- Huggingface_hub version: 0.8.1
- PyTorch version (GPU?): 1.12.0+cu113 (True)
- Tensorflow version (GPU?): 2.8.2 (True)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
-... | {
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https://api.github.com/repos/huggingface/transformers/issues/18380 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18380/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18380/comments | https://api.github.com/repos/huggingface/transformers/issues/18380/events | https://github.com/huggingface/transformers/issues/18380 | 1,323,507,420 | I_kwDOCUB6oc5O4x7c | 18,380 | LayoutLM-based visual question answering model, weights, and pipeline | {
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"cc @Narsil as well as @NielsRogge ",
"Thank you for this proposal !\r\n\r\nIt is really well thought out and everything you mention is pertinent.\r\nAdding support would be really awesome !\r\n\r\n- We probably need to use VisualQuestionAnswering for this one. What defines a pipeline is the set of input/output s... | 1,659 | 1,662 | 1,662 | CONTRIBUTOR | null | ### Feature request
Question answering is an important problem for both text and documents. The question-answering pipeline makes it very easy to work with plain text and includes helpful utilities (like [post-processing start/end candidates](https://github.com/huggingface/transformers/blob/main/src/transformers/pip... | {
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https://api.github.com/repos/huggingface/transformers/issues/18379 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18379/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18379/comments | https://api.github.com/repos/huggingface/transformers/issues/18379/events | https://github.com/huggingface/transformers/issues/18379 | 1,323,450,730 | I_kwDOCUB6oc5O4kFq | 18,379 | raise RuntimeError("Failed to load audio from {}".format(filepath)) | {
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"> feedback response with error code\r\n\r\nI didn't get what do you mean? ",
"Hey @mehrdad78, could you share the full stack trace?",
"> Hey @mehrdad78, could you share the full stack trace?\r\n\r\nYes,sure.\r\nhere is my colab notebook:[https://colab.research.google.com/drive/1jNdztD-Kkk8MCkzPLlLXVr0Z2jSgpkM8... | 1,659 | 1,691 | 1,662 | NONE | null | ### System Info
i want to run
run_speech_recognition_ctc.py
but i got the error when run the Single GPU CTC script.
`python run_speech_recognition_ctc.py \
--dataset_name="common_voice" \
--model_name_or_path="facebook/wav2vec2-large-xlsr-53" \
--dataset_config_name="tr" \
--output_dir="./wav2vec2-... | {
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https://api.github.com/repos/huggingface/transformers/issues/18378 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18378/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18378/comments | https://api.github.com/repos/huggingface/transformers/issues/18378/events | https://github.com/huggingface/transformers/issues/18378 | 1,323,410,602 | I_kwDOCUB6oc5O4aSq | 18,378 | NLLB-200 is too slow | {
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"Hello, thanks for opening an issue! We try to keep the github issues for bugs/feature requests.\r\nCould you ask your question on the [forum](https://discuss.huggingface.co) instead?\r\n\r\nThanks!",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this stil... | 1,659 | 1,662 | 1,662 | NONE | null | ### Feature request
When I use modle 'facebook/nllb-200-distilled-600M' to translate , it consuming 0.5 second. And it look like not async。
I want make it consuming 0.1 second ,and make it async。 Is there anyone who can help me 。Thanks!
### Motivation
When I use modle 'facebook/nllb-200-distilled-600M' to translate... | {
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https://api.github.com/repos/huggingface/transformers/issues/18377 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18377/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18377/comments | https://api.github.com/repos/huggingface/transformers/issues/18377/events | https://github.com/huggingface/transformers/issues/18377 | 1,323,325,942 | I_kwDOCUB6oc5O4Fn2 | 18,377 | Getting Torchvision Transforms of `feature_extractor`s | {
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"cc @amyeroberts ",
"Thanks for adding this request @sachinruk :) \r\n\r\nRegarding the the mean and standard deviation values, can you raise a separate issue? \r\n\r\nWe're currently going through an update of the feature extractor class for images. At the moment, it's not possible to compose the individual tran... | 1,659 | 1,662 | 1,662 | CONTRIBUTOR | null | ### Feature request
Currently if I was to add any transforms in my training pipeline, it's not quite obvious how to do so. My usual process is to read through the source code and hope to find what I'm after.
What I'm after is something like in `timm` where you can do
```
config = resolve_data_config({}, model=mod... | {
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https://api.github.com/repos/huggingface/transformers/issues/18376 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18376/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18376/comments | https://api.github.com/repos/huggingface/transformers/issues/18376/events | https://github.com/huggingface/transformers/issues/18376 | 1,323,192,153 | I_kwDOCUB6oc5O3k9Z | 18,376 | Potential memory leakage of TensorFlow Swin model on kaggle! | {
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"Hi @innat, thanks for flagging this! \r\n\r\nIn order to help figure out what's causing the problem and possible solutions, could you please answer the following questions: \r\n\r\n* Could you give the version of transformers you're using and any other relevant packages? \r\n* Does the notebook run successfully be... | 1,659 | 1,662 | 1,662 | NONE | null | ### System Info
Info:
```
Framework: TensorFlow 2 (Keras)
Version: 2.6
OS: Kaggle
```
### Who can help?
[Swin Model Card](https://huggingface.co/microsoft/swin-small-patch4-window7-224) @amyeroberts
TensorFlow: @Rocketknight1
Vision: @NielsRogge, @sgugger
### Information
- [ ] The official ex... | {
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https://api.github.com/repos/huggingface/transformers/issues/18375 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18375/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18375/comments | https://api.github.com/repos/huggingface/transformers/issues/18375/events | https://github.com/huggingface/transformers/pull/18375 | 1,323,134,256 | PR_kwDOCUB6oc48XWRt | 18,375 | Correct the spelling of bleu metric | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,659 | 1,659 | 1,659 | CONTRIBUTOR | null | # What does this PR do?
This PR corrects a simple spelling error. From `blue` to `bleu`
<!--
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 ... | {
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