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https://api.github.com/repos/huggingface/transformers/issues/18374 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18374/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18374/comments | https://api.github.com/repos/huggingface/transformers/issues/18374/events | https://github.com/huggingface/transformers/issues/18374 | 1,323,011,439 | I_kwDOCUB6oc5O241v | 18,374 | Implement pytorch model with BetterTransformer in pytorch1.12? | {
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"Hey @luoling1993, we're currently in talks with PyTorch to see how to best approach this. cc @erichan1",
"Hey there @luoling1993! I'm from the PyTorch team - we are working on this. My working PR https://github.com/erichan1/transformers/pull/2",
"This issue has been automatically marked as stale because it has... | 1,659 | 1,668 | 1,662 | NONE | null | ### Feature request
BetterTransformer is a fastpath for the PyTorch Transformer API. The fastpath is a native, specialized implementation of key Transformer functions for CPU and GPU that applies to common Transformer use cases.
### Motivation
Faster.
### Your contribution
Pytorch official blog: https://pytorch.or... | {
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"cc @sgugger ",
"We don't support resuming training with a different version of Transformers that initiated it, as it would require just freezing the whole `Trainer` forever: any bug fix or feature added in it won't work with a resumed checkpoint.",
"I am facing the same error with Transformers version 4.21.0 -... | 1,659 | 1,659 | 1,659 | NONE | null | ### System Info
Transformers 4.21.0
### Who can help?
@LysandreJik @sgugger
### Information
- [ ] The official example scripts
- [X] My own modified scripts
### Tasks
- [X] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or dataset (give details below)
### Repr... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Cc @gante @patrickvonplaten ",
"Hi @nlpcat ๐ I see the change is needed because an unknown batch size is specified (hence the need for dynamic shapes). I'm going to double-check a few cases against this branch and, if all goes wel... | 1,659 | 1,671 | 1,659 | CONTRIBUTOR | null | # What does this PR do?
support dynamic input for tf.function + generate (XLA). needed for batch tf serving
export:
```
import tensorflow as tf
from transformers import TFAutoModelForSeq2SeqLM
class MyOwnModel(tf.Module):
def __init__(self, model_path="t5-small"):
super(MyOwnModel, self).__ini... | {
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] | 1,659 | 1,659 | 1,659 | CONTRIBUTOR | null | Bumps [mistune](https://github.com/lepture/mistune) from 0.8.4 to 2.0.3.
<details>
<summary>Release notes</summary>
<p><em>Sourced from <a href="https://github.com/lepture/mistune/releases">mistune's releases</a>.</em></p>
<blockquote>
<h2>Version 2.0.2</h2>
<p>Fix <code>escape_url </code> via <a href="https://github-r... | {
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<details>
<summary>Release notes</summary>
<p><em>Sourced from <a href="https://github.com/lepture/mistune/releases">mistune's releases</a>.</em></p>
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] | 1,659 | 1,659 | 1,659 | CONTRIBUTOR | null | # What does this PR do?
As metrics are being deprecated in Datasets, they need to be moved to Evaluate. This PR migrates function calls of `load_metric` from Datasets to `load` in Evaluate in Pytorch examples.
Fixes #18306
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismis... | {
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"Hey @PiotrDabkowski, won't these be overridden by the weights when loaded with `from_pretrained`?\r\n\r\nEdit: ah, understood - you'd like to have a better initialization at zeros instead of random.\r\n\r\nWill let @patrickvonplaten ... | 1,659 | 1,659 | 1,659 | CONTRIBUTOR | null | `torch.Tensor` creates an unitialized tensor (as via `torch.empty`), this leads to undeterministic behavior, poor initialization, and nans if you have unlucky init. The paper does not specify the initialization for bias terms, so I guess zero seems like a good choice - no bias initially. `torch.Tensor` is usually popul... | {
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"If you first serialize your dataset to local files, and then use that path as a dataset name; does it work then?",
"Thank you for answer. I am new for using Huggingface dataset libary. My corpus only contains sentences with each line being a sentence. How can I serialize my dataset?",
"Let me cc @albertvillano... | 1,659 | 1,659 | 1,659 | NONE | null | Hi,
I want to develop BERT model from scratch using Turkish text corpus. First I created tokenizer and I load text data from my local as seen below
```
from tokenizers import BertWordPieceTokenizer
import glob
tokenizer = BertWordPieceTokenizer(
clean_text=True,
handle_chinese_chars=False,
... | {
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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?
As asked in #18299 this PR rewrites the `PushToHubMixin` completely to use `upload_file` behind the scenes. This is breaking since there is no more git repository involved, so while the user might have been left with a proper repository in the past, this is not the case anymore. The trade-off... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Hi @ArthurZucker Do you know why the expected value has extra ``` ? `OPTForCausalLM` has the same expected value, but it doesn't have test failure. Seems strange to me ๐ \r\n\r\n```\r\n 1003 >>> # Generate\r\n 1004 >... | 1,659 | 1,659 | 1,659 | COLLABORATOR | null | # What does this PR do?
Fixes the doctest for OPT by adding slight modifications.
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_18364). All of your documentation changes will be reflected on that endpoint.",
"Hope you will also check how will it convert to onnx and will be optimized by onnxruntime after these changes in Attention. \r\n\r\nN. B.: Att... | 1,659 | 1,662 | 1,662 | CONTRIBUTOR | null | null | {
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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 | This doesn't quite fix the issue where the model isn't torch scriptable on torch 1.10, but this will help fx support on torch 1.10 at the very least.
I'll merge this after #18344 | {
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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 `TFSegformerForSemanticSegmentation` doctest.
With @amyeroberts uploading `nvidia/mit-b0`, all doctests for TF Segformer pass now.
(I was waiting for a TF checkpoint and not fixed this one in the previous PR. This model (SemanticSegmentation) already had a TF checkpoint however) | {
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https://api.github.com/repos/huggingface/transformers/issues/18361 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18361/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18361/comments | https://api.github.com/repos/huggingface/transformers/issues/18361/events | https://github.com/huggingface/transformers/pull/18361 | 1,322,201,628 | PR_kwDOCUB6oc48UPeU | 18,361 | [JAX] Replace all jax.tree_* calls with jax.tree_util.tree_* | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Sorry for being so late here! Let's merge it "
] | 1,659 | 1,687 | 1,662 | CONTRIBUTOR | null | # What does this PR do?
Newer versions of JAX moved all tree utility methods to `jax.tree_util` and emit warnings for using the old locations under `jax`. This PR refactors all `jax.tree_*` calls to `jax.tree_util.tree_*`, thus disabling the warnings with no changes to the code functionality.
```python
import ja... | {
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https://api.github.com/repos/huggingface/transformers/issues/18360 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18360/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18360/comments | https://api.github.com/repos/huggingface/transformers/issues/18360/events | https://github.com/huggingface/transformers/issues/18360 | 1,322,053,836 | I_kwDOCUB6oc5OzPDM | 18,360 | How can I use DDP mode without `torch.distributed.launch` command when I use transformers.Trainer | {
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"cc @sgugger",
"No, you need to launch your Python script with the torch/DeepSpeed launcher.",
"> \r\n\r\nThank you. I got it. "
] | 1,659 | 1,659 | 1,659 | NONE | null | I checked the historical issues and readed a part of source code. But I didn't find the way out to use DDP without `torch.distributed.launch`. Is there a way to use deepspeed or ddp without modifying the command? Like a field named `strategy: str` to select the way weather I use DDP. | {
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https://api.github.com/repos/huggingface/transformers/issues/18359 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18359/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18359/comments | https://api.github.com/repos/huggingface/transformers/issues/18359/events | https://github.com/huggingface/transformers/pull/18359 | 1,322,041,291 | PR_kwDOCUB6oc48TsjE | 18,359 | Fix some doctests | {
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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?
The doctests is back running, and we have 16 test failures now.
This PR fixes 3 of them. | {
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https://api.github.com/repos/huggingface/transformers/issues/18358 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18358/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18358/comments | https://api.github.com/repos/huggingface/transformers/issues/18358/events | https://github.com/huggingface/transformers/pull/18358 | 1,322,023,149 | PR_kwDOCUB6oc48TorX | 18,358 | fix FSDP ShardedGradScaler | {
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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?
1. Fixes #18350 by renaming the import for FSDP ShardedGradScaler so that it doesn't change the scope of globally imported Fairscale ShardedGradScaler
2. Another minor change of raising error when transformer auto wrap class name is not found in the model.
## Before submitting
- [ ] This... | {
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"followers_url": "https://api.github.co... | [] | 1,659 | 1,659 | 1,659 | CONTRIBUTOR | null | ### System Info
using the latest version with tf.function for generate still doesn't work for tensorflow model export which would be useful for serving.
### Who can help?
@gante @patrickvonplaten
### Information
- [ ] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An o... | {
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https://api.github.com/repos/huggingface/transformers/issues/18356 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18356/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18356/comments | https://api.github.com/repos/huggingface/transformers/issues/18356/events | https://github.com/huggingface/transformers/pull/18356 | 1,322,010,954 | PR_kwDOCUB6oc48TmDw | 18,356 | [FX] Symbolic trace for Bloom | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Alright, I will make sure I review the PR once it's ready."
] | 1,659 | 1,659 | 1,659 | MEMBER | null | # What does this PR do?
This PR adds `torch.fx` symbolic tracing support for Bloom.
It also enables this feature for XLNet. | {
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"Hey! Thanks for the issue. I managed to get it work doing the following : \r\n\r\n1. Replace `tensorflow` with `tensorflow-macos` in the setup.py file. \r\n2. Install particular dependencies manually \r\n```\r\nbrew install llvm\r\nconda install -c apple tensorflow-deps\r\npython -m pip install tensorflow-macos\r... | 1,659 | 1,683 | 1,659 | CONTRIBUTOR | null | ### System Info
As MacBooks with the M1 chip need `tensorflow-macos` installed instead of` tensorflow>=2.3` (as listed in the setup.py) file trying to set up a developer environment on a M1 MacBook produces the following error:
```
ERROR: Could not find a version that satisfies the requirement tensorflow>=2.3; ext... | {
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"WDYT of this request @gante ?",
"Hi @KMFODA ๐\r\n\r\nI'm not sure if I got the proposal right, let me try to explain in my own words to double-check :) You would like some sort of filter that prevents a large number of different tokens (that are not present in the input prompt) from being generated. Taking your... | 1,659 | 1,693 | 1,674 | CONTRIBUTOR | null | ### Feature request
Adding a filter of some sorts in the generate function to prevent x number of words from outside of the input from appearing in a generated text.
This could work in a number of ways. It could be a filter on the number of out of source words appearing in the generated text (e.g 2 would mean that... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@sgugger Thank you so much for your detailed comments!\r\n\r\n> you force return_dict=True for the base model, but we have this flag because some optimization modules do not support dict outputs, the flag should be passed along and t... | 1,659 | 1,659 | 1,659 | CONTRIBUTOR | null | # What does this PR do?
This pull request adds the following four fine-tuning models to LUKE:
* `LukeForMultipleChoice`
* `LukeForQuestionAnswering`
* `LukeForSequenceClassification`
* `LukeForTokenClassification`
LUKE was initially developed to solve entity-related NLP tasks, however, the model can also be... | {
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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 refactors two parts of `TFSwinLayer` like below, to increase serving compatibility on multiple accelerators.
### Fix incompatible type cast on several serving architecture
On the `window_reverse` function, there is incompatible computation on the graph when restoring batch size:... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@anton-l are you looking into this? I'm not super familiar with the `pyctcdecode` backend, but can get up to speed and take a look for @falcaopetri if need be :)",
"Hi @falcaopetri! Looks like `test_decoder_batch_1` indeed fails on... | 1,659 | 1,666 | 1,666 | CONTRIBUTOR | null | # What does this PR do?
There are two issues being attacked:
1. Always creating a fresh pool within `Wav2Vec2ProcessorWithLM.batch_decode` generates a big overhead if it's called multiple times (this PR fixes #17879)
2. `pyctcdecode` can't use `spawn` Pools (this PR supersedes #17070)
Changes:
- adds a `pool` ... | {
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"Hello @JingyaHuang, thank you for bringing this to the notice with detailed steps and possible solutions ๐ค. Can you try the above draft PR and see if that fixes the issue?"
] | 1,659 | 1,659 | 1,659 | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.21.0
- Platform: Linux-5.4.0-121-generic-x86_64-with-glibc2.29
- Python version: 3.8.10
- Huggingface_hub version: 0.8.1
- PyTorch version (GPU?): 1.11.0+cu113 (True)
### Who can help?
@pacman100 @sgugger
### Information
- [ ] The official example scripts... | {
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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?
This PR brings to Transformers the functionality introduced in https://github.com/huggingface/accelerate/pull/534 .
Basically `device_map` can now take several options:
- `"sequential"` which corresponds to the current auto: fill each GPU sequentially (and if the user has lots of GPU spaces... | {
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"@sgugger , run_examples_flax successful ! Should be good to merge. ",
"_The documentation is not available anymore as the PR was closed or merged._",
"@sgugger , I was wondering if you could point me at a good first issue I can try contributing to next. I looked at the issues and most of them seem to have fo... | 1,659 | 1,659 | 1,659 | CONTRIBUTOR | null | Currently, tensorflow examples use the `load_metric` function from
Datasets library,
commit migrates function call to `load` function in from Evaluate library for flax examples.
Fix for #18306
# What does this PR do?
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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?
Fix `OwlViTForObjectDetection` torchscript tests. The main problem comes from the fact that we provide
```python
traced_model = torch.jit.trace(model, (input_ids, pixel_values))
```
but `OwlViTForObjectDetection` has different order of arguments.
I could simply change the order in th... | {
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] | 1,659 | 1,659 | 1,659 | CONTRIBUTOR | null | # What does this PR do?
Fixes #18343
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [ ] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md#start-contributing-pull-requests... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"(I'm waiting for the tests to pass before merging)",
"Thank you! What is the next step -- do I close it or merge it somehow? Apologies for my unfamiliarity with the process.",
"I'll merge it as soon as everything is green :)",
... | 1,659 | 1,659 | 1,659 | CONTRIBUTOR | null | # Include tensorflow-aarch64 as a candidate
Fixes # 18323
@LysandreJik
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"_The documentation is not available anymore as the PR was closed or merged._",
"Ran quick test on the generation speed:\r\n```python\r\nfrom transformers import AutoTokenizer, AutoModelForCausalLM\r\nfrom timeit import timeit\r\n\r\ndef main():\r\n model_name = \"bigscience/bloom-350m\"\r\n max_length = 50... | 1,659 | 1,659 | 1,659 | CONTRIBUTOR | null | # What does this PR do?
**THERE'S A BREAKING CHANGE**: `past_key_values` changes in terms of format, is that acceptable @sgugger @patrickvonplaten ?
## Changes
Make a pass at cleaning up some code:
- convert `causal_mask` to bool tensor and use it via mask.
- simplify `causal_mask` creation function.
- r... | {
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"Hey @sgugger, thanks for flagging this!\r\n\r\n> First the call to from_encoder_decoder_pretrained does not load the pretrained BERT (there is a huge warning all weights are discarded)\r\n\r\nI've double checked this, and the `from_encoder_decoder_pretrained` does load all the **pre-trained** BERT weights! The wei... | 1,659 | 1,659 | 1,659 | COLLABORATOR | null | I'm working on updating the doc to remove the use of `as_target_xxx` context managers and noticed the code sample [here](https://github.com/huggingface/transformers/blob/main/docs/source/en/model_doc/speech-encoder-decoder.mdx#training) does not work.
First the call to `from_encoder_decoder_pretrained` does not loa... | {
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https://api.github.com/repos/huggingface/transformers/issues/18342 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18342/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18342/comments | https://api.github.com/repos/huggingface/transformers/issues/18342/events | https://github.com/huggingface/transformers/pull/18342 | 1,321,057,089 | PR_kwDOCUB6oc48QaIi | 18,342 | [BLOOM] Deprecate `position_ids` | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"With @NouamaneTazi we discovered that this actually breaks scripting for torch 1.11 (and seems to work fine in torch 1.12) . In particular, the `**` operator breaks it, should we revert back to set `position_ids=None` in the signatu... | 1,659 | 1,659 | 1,659 | CONTRIBUTOR | null | # What does this PR do?
Deprecate `position_ids` as they never made sense for BLOOM.
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_18341). All of your documentation changes will be reflected on that endpoint.",
"### Update\r\n\r\nCurrent API:\r\n\r\n1. With automatic init:\r\n```python\r\nmodel.scan_enable() # to enable scan\r\nmodel.scan_disable() #... | 1,659 | 1,661 | null | CONTRIBUTOR | null | # What does this PR do?
Adds `scan_with_axes` to Flax Bert and its derived models.
TODO:
- [ ] Fix cookie cutter template
- [ ] Run `make fix-copies` (after review)
Fixes [#17399](https://github.com/huggingface/transformers/issues/17399)
## Before submitting
- [ ] This PR fixes a typo or improves the doc... | {
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"Hi,\r\n\r\nLoved reading that :D thanks for your interest in ViTMAE. It would definitely be nice to have one of these more efficient attention models in the library. However, we usually only add models that have dedicated pre-trained weights.\r\n\r\nAs Transformers is not really a modular toolbox, we treat each mo... | 1,659 | 1,662 | 1,662 | NONE | null | ### Feature request
The authors of
https://openaccess.thecvf.com/content/WACV2021/papers/Shen_Efficient_Attention_Attention_With_Linear_Complexities_WACV_2021_paper.pdf
propose to change the attention module in transformers to achieve linear complexity in the number of processed tokens (instead of the feared quadrat... | {
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https://api.github.com/repos/huggingface/transformers/issues/18339 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18339/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18339/comments | https://api.github.com/repos/huggingface/transformers/issues/18339/events | https://github.com/huggingface/transformers/pull/18339 | 1,320,937,881 | PR_kwDOCUB6oc48QBDK | 18,339 | fix(typo): Update automatic_speech_recognition.py | {
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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 | @sgugger | {
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https://api.github.com/repos/huggingface/transformers/issues/18338 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18338/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18338/comments | https://api.github.com/repos/huggingface/transformers/issues/18338/events | https://github.com/huggingface/transformers/pull/18338 | 1,320,899,187 | PR_kwDOCUB6oc48P4rs | 18,338 | Remove Flax OPT from `documentation_tests.txt` | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@ArthurZucker This file is used to test the docstrings in model files and some documentation files. It is something different from the usual model testing."
] | 1,659 | 1,662 | 1,659 | COLLABORATOR | null | # What does this PR do?
Remove Flax OPT from `documentation_tests.txt` for now. The test uses the docker image `huggingface/transformers-all-latest-gpu` which has no JAX/Flax installed.
[Failed job run](https://github.com/huggingface/transformers/runs/7551001967?check_suite_focus=true)
Error:
```python
src... | {
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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?
I update the _toctree.yml after the [last fixes and review on training.mdx](https://github.com/huggingface/transformers/pull/18333#event-7080871662)
See issue: [#17459](h... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@JingyaHuang @lewtun @michaelbenayoun Happy to implement changes if you have any suggestions ๐ ",
"Thanks @lewtun :pray: All tests are passing on my machine:\r\n\r\n![image](https://user-images.githubusercontent.com/16133277/18541... | 1,659 | 1,660 | 1,660 | CONTRIBUTOR | null | Using `onnxruntime.quantization.quantize` has been deprecated since a while:
```
WARNING:root:onnxruntime.quantization.quantize is deprecated.
Please use quantize_static for static quantization, quantize_dynamic for dynamic quantization.
```
and has been removed from `onnxruntime` in v1.12.0 (released... | {
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"Hi @clefourrier ,\r\n\r\nFrom your description, I agree with you that the output should always be 512. However, I can't reproduce your problem (I tried with the same version of `transformers` and `torch`), I let you see my attempt to reproduce your error in this [google colab notebook](https://colab.research.googl... | 1,659 | 1,659 | 1,659 | MEMBER | null | ### System Info
- `transformers` version: 4.20.1
- Platform: Linux-5.14.0-1045-oem-x86_64-with-glibc2.29
- Python version: 3.8.10
- Huggingface_hub version: 0.8.1
- PyTorch version (GPU?): 1.11.0+cu102 (False)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
... | {
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"Hi @zhuango, it's possible there's a bug here, but there is also always some variation between runs. Can you run the training a couple of times for both PyTorch and TensorFlow and report the range of F1-scores you get for both? ",
"@Rocketknight1 Sure, I willl try more runs with exactly the same hyper-parameters... | 1,659 | 1,660 | 1,660 | NONE | null | ### System Info
transformers=4.20.1, python=3.7, tensorflow-gpu=2.9.1.
### Who can help?
@Rocketknight1 @sgugger @patil-suraj
### Information
- [x] The official example scripts
- [ ] My own modified scripts
### Tasks
- [x] An officially supported task in the `examples` folder (such as GLUE/SQuAD,... | {
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"Hi @banda-larga @sgugger we discuss a lot with @mfumanelli for the better italian translation. For me this version is ok, you can merge the PR"
] | 1,659 | 1,659 | 1,659 | CONTRIBUTOR | null | Left the term fine-tuning since there is no correct translation into Italian and the English term is generally used. The same was done with some terms like "learning rate" | {
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https://api.github.com/repos/huggingface/transformers/issues/18332 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18332/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18332/comments | https://api.github.com/repos/huggingface/transformers/issues/18332/events | https://github.com/huggingface/transformers/pull/18332 | 1,320,665,383 | PR_kwDOCUB6oc48PGaZ | 18,332 | fix run_clip README | {
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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 `run_clip` example's README.
The path should be the absolute path to the downloaded data directory (using relative path will make `load_dataset` look for the data directory on the Hub).
From slack discussion:
- _basically the base path used to resolve relative path corresponds to w... | {
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https://api.github.com/repos/huggingface/transformers/issues/18331 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18331/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18331/comments | https://api.github.com/repos/huggingface/transformers/issues/18331/events | https://github.com/huggingface/transformers/pull/18331 | 1,320,652,102 | PR_kwDOCUB6oc48PDkr | 18,331 | fixed typo | {
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] | 1,659 | 1,659 | 1,659 | CONTRIBUTOR | null | # What does this PR do?
Fixes a typo on the italian translation
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https://api.github.com/repos/huggingface/transformers/issues/18330 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18330/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18330/comments | https://api.github.com/repos/huggingface/transformers/issues/18330/events | https://github.com/huggingface/transformers/issues/18330 | 1,320,381,039 | I_kwDOCUB6oc5Os2pv | 18,330 | DeepSpeed Stage 2, Gradient computed twice for this partition. | {
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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... | 1,658 | 1,683 | 1,662 | CONTRIBUTOR | null | ### System Info
transformers == 4.20.1
python == 3.8.13
OS == ubuntu 20.4
DeepSpeed == 0.6.7
### Who can help?
@stas00
### Information
- [ ] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own ... | {
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https://api.github.com/repos/huggingface/transformers/issues/18329 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18329/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18329/comments | https://api.github.com/repos/huggingface/transformers/issues/18329/events | https://github.com/huggingface/transformers/issues/18329 | 1,320,287,530 | I_kwDOCUB6oc5Osf0q | 18,329 | T5 Tokenizer misses a space | {
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"One workaround is adding `clean_up_tokenization_spaces=False` in tokenizer.decode",
"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 [contributi... | 1,658 | 1,662 | 1,662 | NONE | null | ### System Info
```
tokenizer = AutoTokenizer.from_pretrained("t5-3b", use_fast=False)#metrics_util.tokenizer
tokenizer.decode(tokenizer("Intel unveils Project Alloy 'merged reality' headset")["input_ids"], skip_special_tokens=True)
Output: Intel unveils Project Alloy'merged reality' headset
```
Note that th... | {
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https://api.github.com/repos/huggingface/transformers/issues/18328 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18328/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18328/comments | https://api.github.com/repos/huggingface/transformers/issues/18328/events | https://github.com/huggingface/transformers/pull/18328 | 1,320,189,925 | PR_kwDOCUB6oc48Ni-L | 18,328 | Split model list on modality | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"This requires more work than just splitting the navigation bar (as seen with the failing quality test). There are scripts that format this model ToC/check all models are documented which then need to be adapted.\r\n\r\nLikewise split... | 1,658 | 1,659 | 1,659 | MEMBER | null | This PR splits the model API list on modality because it was becoming difficult for users to discover what vision or audio models are supported because they just disappear in the long list. I set these sections to not expand by default since users are more likely interested in going straight to a modality and then expa... | {
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https://api.github.com/repos/huggingface/transformers/issues/18327 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18327/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18327/comments | https://api.github.com/repos/huggingface/transformers/issues/18327/events | https://github.com/huggingface/transformers/pull/18327 | 1,320,123,886 | PR_kwDOCUB6oc48NU49 | 18,327 | Migrate metric to Evaluate library for tensorflow examples | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@sgugger, Working on the other examples. \r\n\r\nIn contrast to pytorch examples, in the tensorflow examples, some of the different tasks (summarization, translation token-classification ) are missing requirements.txt. \r\n\r\n\r\nS... | 1,658 | 1,659 | 1,659 | CONTRIBUTOR | null | # What does this PR do?
Currently, tensorflow examples use the `load_metric` function from Datasets library, commit migrates function call to `load` function to Evaluate library.
Fix for #18306
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the c... | {
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https://api.github.com/repos/huggingface/transformers/issues/18326 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18326/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18326/comments | https://api.github.com/repos/huggingface/transformers/issues/18326/events | https://github.com/huggingface/transformers/pull/18326 | 1,320,087,004 | PR_kwDOCUB6oc48NNDJ | 18,326 | add t5 for text generation | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_18326). All of your documentation changes will be reflected on that endpoint.",
"Thanks for opening the PR @sam-h-bean, can you explain a bit more why you require this change? Can't you use the text-to-text pipeline in your... | 1,658 | 1,662 | 1,662 | CONTRIBUTOR | null | # What does this PR do?
Add support for `T5ForConditionalGeneration` to the text generation pipeline
## Who can review?
@LysandreJik @patrickvonplaten
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https://api.github.com/repos/huggingface/transformers/issues/18325 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18325/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18325/comments | https://api.github.com/repos/huggingface/transformers/issues/18325/events | https://github.com/huggingface/transformers/pull/18325 | 1,320,051,835 | PR_kwDOCUB6oc48NFnA | 18,325 | Replace `as_target` context managers by direct calls | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,658 | 1,659 | 1,659 | COLLABORATOR | null | # What does this PR do?
This PR deprecates the context managers `as_target_tokenizer` and `as_target_processor` to the profit of passing more arguments to the `__call__` method (or the `pad` method for certain processors).
Let's look at one example for a tokenizer in a seq2seq task. The current workflow is:
```p... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,658 | 1,658 | 1,658 | MEMBER | null | As pointed out by @NielsRogge, a feature extractor is used to prepare inputs for a model with a single modality rather than multimodal models. | {
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https://api.github.com/repos/huggingface/transformers/issues/18323 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18323/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18323/comments | https://api.github.com/repos/huggingface/transformers/issues/18323/events | https://github.com/huggingface/transformers/issues/18323 | 1,319,888,672 | I_kwDOCUB6oc5Oq-cg | 18,323 | tensorflow-aarch64 is not a viable candidate tensorflow version | {
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"Hey @ankrgyl, would you like to open a PR to enable that candidate?",
"Happy to! I am a bit rusty on the PR process but here it is: https://github.com/huggingface/transformers/pull/18345",
"Closed in https://github.com/huggingface/transformers/pull/18345\r\n\r\nThanks for your contribution!"
] | 1,658 | 1,659 | 1,659 | CONTRIBUTOR | null | ### System Info
On ARM64 machines, the official tensorflow package is named `tensorflow-aarch64`. On transformers==4.20.1, in `utils/import_utils.py`, there is a list of `candidates` for tensorflow packages which does not include this package. As a result, you cannot use TF+transformers on arm64 machines that have ins... | {
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https://api.github.com/repos/huggingface/transformers/issues/18322 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18322/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18322/comments | https://api.github.com/repos/huggingface/transformers/issues/18322/events | https://github.com/huggingface/transformers/issues/18322 | 1,319,750,069 | I_kwDOCUB6oc5Oqcm1 | 18,322 | Transformers documentation translation to French | {
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"I'd love to help you for these tasks ! \r\n\r\nune bonne idรฉe pour adopter un ton sympa et pรฉdagogue, serait d'utiliser la **1ere personne du pluriel** (NOUS) le plus souvent quand c'est possible. Par exemple : \r\n\r\n\" Start by creating a virtual environment in your project directory: \"\r\nโโบ \"**Commenรงons** ... | 1,658 | 1,692 | null | CONTRIBUTOR | null | Hi!
Let's bring the documentation to all the French-speaking community :)
Who would want to translate? Please follow the ๐ค [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 to ... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,658 | 1,658 | 1,658 | COLLABORATOR | null | # What does this PR do?
`sacremoses` is not a hard dependency of Transformers, but is used without protection the tokenization module of Transformers XL. This PR fixes that. | {
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https://api.github.com/repos/huggingface/transformers/issues/18320 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18320/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18320/comments | https://api.github.com/repos/huggingface/transformers/issues/18320/events | https://github.com/huggingface/transformers/pull/18320 | 1,319,530,069 | PR_kwDOCUB6oc48Lc3K | 18,320 | sentencepiece shouldn't be required for the fast LayoutXLM tokenizer | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,658 | 1,658 | 1,658 | MEMBER | null | This PR duplicates the `LAYOUTXLM_ENCODE_KWARGS_DOCSTRING` variable which is currently imported from a file that is behind a `sentencepiece` requirement. | {
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https://api.github.com/repos/huggingface/transformers/issues/18319 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18319/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18319/comments | https://api.github.com/repos/huggingface/transformers/issues/18319/events | https://github.com/huggingface/transformers/issues/18319 | 1,319,498,571 | I_kwDOCUB6oc5OpfNL | 18,319 | FeatureExtractor in Multimodal & ViT based models | {
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"cc @NielsRogge @amyeroberts ",
"Thanks for raising @pikaduck! \r\n\r\nI have a few questions to make sure I understand the issue and your proposal. \r\n* When you say that the normalization may produce `bbox[i] > 1000`, can you confirm at least one of the bboxes coordinates for the image `(x0, y0)` or `(x1, y1)`... | 1,658 | 1,662 | 1,662 | NONE | null | ### Feature request
Customisable factor for normalisation in FeatureExtractor, i.e., currently 1000/w & 1000/h is used so internally 1000 is being used. If this (1000) can be made customisable, apply_ocr=True can be used without worrying about model training being interrupted due to bbox[I] > 1000.
### Motivation
C... | {
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https://api.github.com/repos/huggingface/transformers/issues/18318 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18318/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18318/comments | https://api.github.com/repos/huggingface/transformers/issues/18318/events | https://github.com/huggingface/transformers/pull/18318 | 1,319,485,278 | PR_kwDOCUB6oc48LTLu | 18,318 | Remove all uses of six | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,658 | 1,658 | 1,658 | COLLABORATOR | null | # What does this PR do?
This PR removes all uses of the `six` package since Python 2 is dead and Transformers never had support for it. Those slipped through the crack during review. | {
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https://api.github.com/repos/huggingface/transformers/issues/18317 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18317/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18317/comments | https://api.github.com/repos/huggingface/transformers/issues/18317/events | https://github.com/huggingface/transformers/issues/18317 | 1,319,484,463 | I_kwDOCUB6oc5Opbwv | 18,317 | Decouple inference from preprocessing and postprocessing steps from pipeline | {
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"cc @Narsil ",
"@jspablo ,\r\n\r\nThis is a very sound request which does make sense.\r\n\r\nI think it's going to be tricky to implement in a streamlined fashion since a lot of postprocessing actually uses the model (to get the config). We could have the config be on its own but that require real care since then... | 1,658 | 1,662 | 1,662 | NONE | null | ### Feature request
Each pipeline under the pipeline abstraction has a preprocessing, forward and postprocessing method. In order to use any pipeline it should be initiliazed providing a model so preprocessing and postprocessing methods cannot be easily used by other services.
It would be great to provide the model j... | {
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https://api.github.com/repos/huggingface/transformers/issues/18316 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18316/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18316/comments | https://api.github.com/repos/huggingface/transformers/issues/18316/events | https://github.com/huggingface/transformers/issues/18316 | 1,319,282,209 | I_kwDOCUB6oc5OoqYh | 18,316 | "AttributeError: cls.seq_relationship.weight not found in PyTorch model" when converting pytorch to tensorflow | {
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"Hi @BramVanroy, you shouldn't ever need to directly call `convert_pt_checkpoint_to_tf`. If you want to make a native TensorFlow checkpoint for that model, then the easiest way would be just:\r\n\r\n```\r\nmodel = TFAutoModelForSequenceClassification.from_pretrained(\"BramVanroy/bert-base-dutch-cased-hebban-reviews... | 1,658 | 1,662 | 1,662 | COLLABORATOR | null | ### System Info
- `transformers` version: 4.21.0.dev0
- Platform: Linux-5.15.0-41-generic-x86_64-with-glibc2.29
- Python version: 3.8.10
- Huggingface_hub version: 0.8.1
- PyTorch version (GPU?): 1.12.0+cu113 (True)
- Tensorflow version (GPU?): 2.9.1 (True)
### Who can help?
@Rocketknight1 @sgugger
##... | {
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https://api.github.com/repos/huggingface/transformers/issues/18315 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18315/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18315/comments | https://api.github.com/repos/huggingface/transformers/issues/18315/events | https://github.com/huggingface/transformers/pull/18315 | 1,319,278,719 | PR_kwDOCUB6oc48Knz8 | 18,315 | [bugfix] Loading sharded model with torch_dtype='auto' causes TypeError | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Hi there, thanks for the fix! This is a duplicate of #18061 so we will merge this one as it came first :-)",
"Hi. Sorry for dup and thanks for the fix! I am closing this PR (and the issue) as it is no longer necessary."
] | 1,658 | 1,658 | 1,658 | CONTRIBUTOR | null | # What does this PR do?
Fixes #18314
## Before submitting
- [n] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [y] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md#start-contributing-pull-requests),... | {
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https://api.github.com/repos/huggingface/transformers/issues/18314 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18314/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18314/comments | https://api.github.com/repos/huggingface/transformers/issues/18314/events | https://github.com/huggingface/transformers/issues/18314 | 1,319,261,862 | I_kwDOCUB6oc5Oolam | 18,314 | Loading sharded model with torch_dtype='auto' causes TypeError | {
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"I've created PR to fix the problem as it is an easy fix. The variable names clearly suggest the intended behavior, so I just followed it.",
"#18061 fixes this problem. Closing the issue."
] | 1,658 | 1,658 | 1,658 | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.20.1
- Platform: macOS-12.4-arm64-arm-64bit
- Python version: 3.9.13
- Huggingface_hub version: 0.8.1
- PyTorch version (GPU?): 1.12.0 (False)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not instal... | {
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https://api.github.com/repos/huggingface/transformers/issues/18313 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18313/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18313/comments | https://api.github.com/repos/huggingface/transformers/issues/18313/events | https://github.com/huggingface/transformers/pull/18313 | 1,319,221,985 | PR_kwDOCUB6oc48Kbw5 | 18,313 | Fixes torch jit tracing for LayoutLMv2 model (re-open) | {
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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/18312 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18312/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18312/comments | https://api.github.com/repos/huggingface/transformers/issues/18312/events | https://github.com/huggingface/transformers/pull/18312 | 1,319,186,676 | PR_kwDOCUB6oc48KUSC | 18,312 | BLOOM fix module order | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,658 | 1,661 | 1,658 | CONTRIBUTOR | null | # What does this PR do
This PR addresses a small issue where the operations of `BloomMLP` are not displayed in the correct order. This is a bit confusing for users, see the related issue: https://huggingface.co/bigscience/bloom/discussions/64
cc @sgugger | {
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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\nAs an aside, we recommend looking into the [accelerate](https://github.com/huggingface/accelerate) package for multi-GPU usag... | 1,658 | 1,662 | 1,662 | NONE | null | ### System Info
Report an issue about model output efficiency.
I want to get the certain hidden states from the fine-tuned roberta model, then I chose Model Output api([link](https://huggingface.co/docs/transformers/main_classes/output#transformers.utils.ModelOutput)) to get those dense embeddings.
However, when e... | {
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https://api.github.com/repos/huggingface/transformers/issues/18310 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18310/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18310/comments | https://api.github.com/repos/huggingface/transformers/issues/18310/events | https://github.com/huggingface/transformers/pull/18310 | 1,318,788,122 | PR_kwDOCUB6oc48JAtO | 18,310 | Remove duplicated line | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,658 | 1,658 | 1,658 | CONTRIBUTOR | null | # What does this PR do?
Removes a duplicated instantiation of `device`. I removed the second instance of the line to maintain code alignment with the GPT-J implementation of forward.
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https://api.github.com/repos/huggingface/transformers/issues/18309 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18309/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18309/comments | https://api.github.com/repos/huggingface/transformers/issues/18309/events | https://github.com/huggingface/transformers/issues/18309 | 1,318,784,095 | I_kwDOCUB6oc5Omwxf | 18,309 | `activation_dropout` in OPT is never used | {
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"cc @ArthurZucker ",
"Will have a look asap ๐",
"Okay I think we should just remove it, we don't use it in either the flax or the tf version and it is probably a typo. ๐ I will open a PR soon to fix that !",
"I'm happy to contribute if removing is what we want ๐",
"Feel free to open a PR and tag me when... | 1,658 | 1,662 | 1,662 | CONTRIBUTOR | null | ### System Info
main
### Who can help?
@patil-suraj, @patrickvonplaten, @LysandreJik
### Information
- [X] The official example scripts
- [X] My own modified scripts
### Tasks
- [X] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [X] My own task or dataset (give details below)
... | {
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https://api.github.com/repos/huggingface/transformers/issues/18308 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18308/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18308/comments | https://api.github.com/repos/huggingface/transformers/issues/18308/events | https://github.com/huggingface/transformers/issues/18308 | 1,318,766,529 | I_kwDOCUB6oc5OmsfB | 18,308 | Extracting embeddings through 'pipeline' and 'feature-extraction' not outputting correct length of values. | {
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"Hey, this is perfectly normal. you tokenizer most likely has 3 input_ids when tokenizing this string (most likely BOS, \"zelle\", EOS).\r\n\r\nThen the output of the model is actually (3, 768). 3 is the sequence_length and is perfectly normal. You're probably more interested in some locations that others so you ca... | 1,658 | 1,662 | 1,662 | NONE | null | ### System Info
transformers==4.20.1
Python3.7
### Who can help?
@Narsil
### Information
- [ ] The official example scripts
- [X] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [X] My own task or dataset (give details below)
### Reprodu... | {
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https://api.github.com/repos/huggingface/transformers/issues/18307 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18307/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18307/comments | https://api.github.com/repos/huggingface/transformers/issues/18307/events | https://github.com/huggingface/transformers/issues/18307 | 1,318,553,596 | I_kwDOCUB6oc5Ol4f8 | 18,307 | layoutlmv3-base-chinese tokenizer could not be loaded. | {
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"The same problem, can you please solve it",
"**The problem still exists.**\r\n\r\nprocessor = AutoProcessor.from_pretrained(\"microsoft/layoutlmv3-base\", apply_ocr=False)\r\nIt can run successfully๏ผfail to load \"microsoft/layoutlmv3-base-chinese\", such as: \r\nprocessor = AutoProcessor.from_pretrained(\"micro... | 1,658 | 1,663 | 1,658 | NONE | null | ### System Info
```
File ~/anaconda3/envs/paddle_env/lib/python3.8/site-packages/transformers/models/layoutlmv3/tokenization_layoutlmv3.py:325, in LayoutLMv3Tokenizer.__init__(self, vocab_file, merges_file, errors, bos_token, eos_token, sep_token, cls_token, unk_token, pad_token, mask_token, add_prefix_space, cls_tok... | {
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https://api.github.com/repos/huggingface/transformers/issues/18306 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18306/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18306/comments | https://api.github.com/repos/huggingface/transformers/issues/18306/events | https://github.com/huggingface/transformers/issues/18306 | 1,318,500,631 | I_kwDOCUB6oc5OlrkX | 18,306 | Migrate metrics used in all examples from Datasets to Evaluate | {
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"Hi, I would like to try to move Pytorch examples.",
"Please go ahead and make a PR when you're ready then @atturaioe. You can check our [contributing guide](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md) to get started.",
"@sgugger , I would like to work on the tensorflow examples. \r\... | 1,658 | 1,659 | 1,659 | COLLABORATOR | null | The metrics are slowly leaving [Datasets](https://github.com/huggingface/datasets) (they are being deprecated as we speak) to move to the [Evaluate](https://github.com/huggingface/evaluate) library. We are looking for contributors to help us with the move.
Normally, the migration should be as easy as replacing the i... | {
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https://api.github.com/repos/huggingface/transformers/issues/18305 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18305/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18305/comments | https://api.github.com/repos/huggingface/transformers/issues/18305/events | https://github.com/huggingface/transformers/pull/18305 | 1,318,452,359 | PR_kwDOCUB6oc48H6JX | 18,305 | Add ONNX support for Pegasus | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Hey @pramodith, this PR looks excellent! Did you try to convert a `Pegasus` model with this config?\r\n\r\nI'm pinging @lewtun for reviewing.",
"@ChainYo besides the pytests, I also tried executing the Onnx export and validation u... | 1,658 | 1,662 | 1,662 | NONE | null | # What does this PR do?
<!--
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Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
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https://api.github.com/repos/huggingface/transformers/issues/18304 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18304/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18304/comments | https://api.github.com/repos/huggingface/transformers/issues/18304/events | https://github.com/huggingface/transformers/pull/18304 | 1,318,328,941 | PR_kwDOCUB6oc48HgVx | 18,304 | Ignore small batches of examples for CLM training | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"I was thinking to throw an error with some information. But since this has been discussed several times and the decision is made, I am going to close this PR.",
"If you throw an error later on if the dataset is empty, that fix then... | 1,658 | 1,658 | 1,658 | COLLABORATOR | null | # What does this PR do?
Fix #17875.
In https://github.com/huggingface/transformers/blob/a5d504834d01dd1c7edf7c46d93c080cb5274eec/examples/pytorch/language-modeling/run_clm.py#L440
we drop remainder when `if total_length >= block_size`. However, If a batch of examples is too small to have long enough length, th... | {
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https://api.github.com/repos/huggingface/transformers/issues/18303 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18303/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18303/comments | https://api.github.com/repos/huggingface/transformers/issues/18303/events | https://github.com/huggingface/transformers/pull/18303 | 1,318,225,315 | PR_kwDOCUB6oc48HKIL | 18,303 | Owlvit test fixes | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,658 | 1,658 | 1,658 | CONTRIBUTOR | null | # What does this PR do?
- Fixes assertion error in slow OWL-ViT integration tests
- Fixes incompatible cpu/gpu test errors caused by `OwlViTForObjectDetection.normalize_grid_corner_coordinates()`
- Sets `attention_mask` input argument as optional | {
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https://api.github.com/repos/huggingface/transformers/issues/18302 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18302/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18302/comments | https://api.github.com/repos/huggingface/transformers/issues/18302/events | https://github.com/huggingface/transformers/pull/18302 | 1,318,184,271 | PR_kwDOCUB6oc48HBXs | 18,302 | Add PyTorch 1.11 to past CI | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,658 | 1,658 | 1,658 | COLLABORATOR | null | # What does this PR do?
Add PyTorch 1.11 to past CI (as PyTorch 1.12 is the current latest version).
I will re-run past CI once this PR is merged (for [this comment](https://github.com/huggingface/transformers/issues/18181#issuecomment-1189047657)). | {
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https://api.github.com/repos/huggingface/transformers/issues/18301 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18301/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18301/comments | https://api.github.com/repos/huggingface/transformers/issues/18301/events | https://github.com/huggingface/transformers/pull/18301 | 1,318,158,744 | PR_kwDOCUB6oc48G7yH | 18,301 | Added italian translation for parallelism.mdx | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_18301). All of your documentation changes will be reflected on that endpoint.",
"Thank you, @Xpiri, for the translation!\r\n\r\n@sgugger it seems this doc no longer exists in the current documentation (it used to be in the ... | 1,658 | 1,662 | 1,662 | CONTRIBUTOR | null | ## What does this PR do?
Italian translation of parallelism.mdx
See issue: https://github.com/huggingface/transformers/issues/17459
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](https://... | {
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https://api.github.com/repos/huggingface/transformers/issues/18300 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18300/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18300/comments | https://api.github.com/repos/huggingface/transformers/issues/18300/events | https://github.com/huggingface/transformers/pull/18300 | 1,318,133,423 | PR_kwDOCUB6oc48G2V1 | 18,300 | Fix Sylvain's nits on the original KerasMetricCallback PR | {
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"_The documentation is not available anymore as the PR was closed or merged._"
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https://api.github.com/repos/huggingface/transformers/issues/18299 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18299/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18299/comments | https://api.github.com/repos/huggingface/transformers/issues/18299/events | https://github.com/huggingface/transformers/issues/18299 | 1,318,084,132 | I_kwDOCUB6oc5OkF4k | 18,299 | Update push_to_hub to leverage HTTP API | {
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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... | 1,658 | 1,661 | 1,661 | CONTRIBUTOR | null | ### Feature request
Would be great to update the current `model.push_to_hub`, `tokenizer.push_to_hub`, `processor.push_to_hub`, etc. functionalities to leverage the new `upload_file` method of the `huggingface_hub` library, which only leverages HTTP calls instead of git, making the user experience much, much nicer.
... | {
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https://api.github.com/repos/huggingface/transformers/issues/18298 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18298/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18298/comments | https://api.github.com/repos/huggingface/transformers/issues/18298/events | https://github.com/huggingface/transformers/pull/18298 | 1,318,028,608 | PR_kwDOCUB6oc48Gfxh | 18,298 | Fix failing tests for XLA generation in TF | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Hi @dsuess! Thank you so much for looking into this -- I can confirm that the tests are passing after these changes. \r\n\r\nThis implies two things:\r\n1. The models are indeed XLA-ready, so I will tick their boxes in the original i... | 1,658 | 1,659 | 1,659 | CONTRIBUTOR | null | # What does this PR do?
This PR fixes the failing tests for text generation in XLA mentioned in #17935. The issue was that the failing models had additional settings limiting the sequence length, which werenโt updated when creating the config-objects for the tests.
Fixes # 17935
## Before submitting
- [ ] T... | {
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https://api.github.com/repos/huggingface/transformers/issues/18297 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18297/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18297/comments | https://api.github.com/repos/huggingface/transformers/issues/18297/events | https://github.com/huggingface/transformers/pull/18297 | 1,318,008,025 | PR_kwDOCUB6oc48GbX0 | 18,297 | Add Flax BART pretraining script | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"This looks very nice to me! Just a small question, why is the file called `run_bart_dlm_flax.py`, *i.e.* why the `dlm` and not just `lm` ?",
"@patil-suraj could you take a look here as well ?",
"> This looks very nice to me! Just... | 1,658 | 1,670 | 1,659 | CONTRIBUTOR | null | # What does this PR do?
Fixes #6743 #18030 #4151 #5096. Adds Flax script for BART pretraining.
Inspired by @patil-suraj's [suggestion](https://github.com/huggingface/transformers/issues/6743#issuecomment-1046717336), I modified the @morganmcg1's [DataCollatorForDenoisingTasks](https://github.com/morganmcg1/rotoba... | {
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https://api.github.com/repos/huggingface/transformers/issues/18296 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18296/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18296/comments | https://api.github.com/repos/huggingface/transformers/issues/18296/events | https://github.com/huggingface/transformers/pull/18296 | 1,318,002,329 | PR_kwDOCUB6oc48GaKH | 18,296 | [WIP] Add Efficientformer | {
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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... | 1,658 | 1,669 | 1,662 | CONTRIBUTOR | null | # What does this PR do?
This PR adds Efficientformer, a model that has similar latency as MobileNets, but achieves better accuracy on ImageNet.
Paper: https://arxiv.org/abs/2206.01191
Code and weights: https://github.com/snap-research/EfficientFormer
To-do:
- [ ] Improve documentation
- [ ] Verify tests p... | {
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https://api.github.com/repos/huggingface/transformers/issues/18295 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18295/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18295/comments | https://api.github.com/repos/huggingface/transformers/issues/18295/events | https://github.com/huggingface/transformers/pull/18295 | 1,317,934,775 | PR_kwDOCUB6oc48GLvI | 18,295 | Apply type correction to `TFSwinModelOutput` | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,658 | 1,658 | 1,658 | CONTRIBUTOR | null | # What does this PR do?
## Problem & Fix
This PR fixes small type error on `TFSwinModelOutput`.
`TFSwinModelOutput`'s `pooler_output` is actually optional, which can be disabled by using `add_pooling_layer=False` option on `TFSwinModel` or `TFSwinMainLayer`. This fix applies `Optional` type on `pooler_output` ... | {
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https://api.github.com/repos/huggingface/transformers/issues/18294 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18294/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18294/comments | https://api.github.com/repos/huggingface/transformers/issues/18294/events | https://github.com/huggingface/transformers/issues/18294 | 1,317,906,041 | I_kwDOCUB6oc5OjaZ5 | 18,294 | Support NLLB's LID model | {
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"I figured out how to use it. No issue now.",
"First download model\r\n`wget https://dl.fbaipublicfiles.com/nllb/lid/lid218e.bin`\r\nThen use it for inference\r\n```python\r\nimport fasttext\r\npretrained_lang_model = \"lid218e.bin\"\r\nmodel = fasttext.load_model(pretrained_lang_model)\r\ntext = \"ใใใๆต
่ใซใ่กใใพใใ\"... | 1,658 | 1,659 | 1,659 | NONE | null | ### Model description
Thanks for supporting NLLB and closing this issue https://github.com/huggingface/transformers/issues/18043. I'm wondering if huggingface can further support the language identification model of NLLB?
"LID (Language IDentification) model to predict the language of the input text."
### Open sourc... | {
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"Hey @Aaryan369, \r\n\r\nIs there any way you could upload the checkpoint to the Hub (maybe as a private one if the weights are sensitive?) Happy to take a deeper look then, but in short the above error message shouldn't happen. There seems to be a mismatch with the config and the model weights",
"This issue has ... | 1,658 | 1,664 | 1,664 | NONE | null | ### System Info
- `transformers` version: 4.20.1
- Platform: Linux-5.4.0-1085-azure-x86_64-with-glibc2.10
- Python version: 3.8.13
- Huggingface_hub version: 0.8.1
- PyTorch version (GPU?): 1.9.1+cu111 (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/18292 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18292/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18292/comments | https://api.github.com/repos/huggingface/transformers/issues/18292/events | https://github.com/huggingface/transformers/pull/18292 | 1,317,823,999 | PR_kwDOCUB6oc48F0ci | 18,292 | Add TFAutoModelForImageClassification to pipelines.py | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,658 | 1,658 | 1,658 | COLLABORATOR | null | # What does this PR do?
Add `TFAutoModelForImageClassification` to `pipelines.py`.
Fix the test failure mentioned [here](https://github.com/huggingface/transformers/pull/18079#issuecomment-1194352739).
Here is the [failed job run](https://github.com/huggingface/transformers/runs/7492640649?check_suite_focus=tr... | {
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"cc @ydshieh :)",
"Hi, @lchwhut \r\n\r\nI believe you already download the (real) coco datasets into `COCO_DIR = \"data\"`. In this case, \r\n`--data_dir ./data` should be changed to the **absolute path** of the data directory, instead of `./data`.\r\n\r\nPlease let me know if this solves the issue, thank you.\r\... | 1,658 | 1,661 | 1,659 | NONE | null | ### System Info
I couldn't run the code successfully following the README.md (https://github.com/huggingface/transformers/tree/main/examples/pytorch/contrastive-image-text#readme)ใ
"""
COCO_DIR = "data"
ds = datasets.load_dataset("ydshieh/coco_dataset_script", "2017", data_dir=COCO_DIR)
"""
"""
python examples/p... | {
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https://api.github.com/repos/huggingface/transformers/issues/18290 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18290/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18290/comments | https://api.github.com/repos/huggingface/transformers/issues/18290/events | https://github.com/huggingface/transformers/issues/18290 | 1,317,450,626 | I_kwDOCUB6oc5OhrOC | 18,290 | Converting facebook/opt-13b to onnx | {
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"@mfuntowicz Maybe for visibility on ONNX export.",
"I think the problem was memory. Now it works but I get the same output about use_cache which I assume is just a warning. Anyway the model is now converted. I have another problem now. I quantize the model using:\r\n```python\r\nfrom onnxruntime.quantization.cal... | 1,658 | 1,662 | 1,662 | NONE | null | ### System Info
- `transformers` version: 4.21.0.dev0
- Platform: Linux-5.4.0-72-generic-x86_64-with-debian-buster-sid
- Python version: 3.7.13
- Huggingface_hub version: 0.8.1
- PyTorch version (GPU?): 1.12.0 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed... | {
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https://api.github.com/repos/huggingface/transformers/issues/18289 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18289/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18289/comments | https://api.github.com/repos/huggingface/transformers/issues/18289/events | https://github.com/huggingface/transformers/issues/18289 | 1,317,279,442 | I_kwDOCUB6oc5OhBbS | 18,289 | Converting batch into jax arrays during training is inefficient | {
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"Hi @isunitha98selvan. In the example linked, we actually force the batch indices to `numpy` arrays:\r\nhttps://github.com/huggingface/transformers/blob/286a18fa0080dd39bd373008d11d831fbb1a77f1/examples/flax/summarization/run_summarization_flax.py#L345-L346\r\n\r\nAnd then slice the dataset according to these `nump... | 1,658 | 1,659 | 1,659 | NONE | null | ### System Info
The Flax Transformers examples use a custom dataloader which yields batches. This includes converting the batch into jax arrays:
https://github.com/huggingface/transformers/blob/main/examples/flax/summarization/run_summarization_flax.py#L355
This operation is inefficient, it can take about 700ms... | {
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https://api.github.com/repos/huggingface/transformers/issues/18288 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18288/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18288/comments | https://api.github.com/repos/huggingface/transformers/issues/18288/events | https://github.com/huggingface/transformers/pull/18288 | 1,317,235,103 | PR_kwDOCUB6oc48D5XI | 18,288 | [XLA] Improve t5 model performance | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@sgugger I've removed this check completely. I think maybe it's fine to skip it since `nn.Embed` will throw an error for negative indices.",
"Makes sense, LGTM! Wdyt @patrickvonplaten ?",
"Ok to skip this check for me!"
] | 1,658 | 1,658 | 1,658 | CONTRIBUTOR | null | This PR improves the performance of t5 model on XLA device. I tested T5ForConditionalGeneration with t5-small config on both GPU and colab TPU and the performance on GPU was improved by >10% while the speedup on TPU is not significant (<1%).
I'm not sure if it's ok to skip the `shifted_input_ids` checking on XLA dev... | {
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"Answered in https://github.com/huggingface/transformers/issues/18289#issuecomment-1198216304"
] | 1,658 | 1,659 | 1,659 | NONE | null | ### System Info
The example[ here](https://github.com/huggingface/transformers/blob/main/examples/flax/text-classification/run_flax_glue.py#L286) should yield jax device arrays instead of numpy arrays.
@patil-suraj
### Who can help?
_No response_
### Information
- [X] The official example scripts
- [ ] My own ... | {
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https://api.github.com/repos/huggingface/transformers/issues/18286 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18286/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18286/comments | https://api.github.com/repos/huggingface/transformers/issues/18286/events | https://github.com/huggingface/transformers/pull/18286 | 1,317,091,463 | PR_kwDOCUB6oc48Da_E | 18,286 | Fix TF bad words filter with XLA | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"And thank you for having a look at this issue <3 "
] | 1,658 | 1,658 | 1,658 | MEMBER | null | null | {
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https://api.github.com/repos/huggingface/transformers/issues/18285 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18285/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18285/comments | https://api.github.com/repos/huggingface/transformers/issues/18285/events | https://github.com/huggingface/transformers/issues/18285 | 1,316,947,705 | I_kwDOCUB6oc5Ofwb5 | 18,285 | Run_mlm.py for fine-tuning generator(mlm) of electra | {
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"Hi @ToanKGO,\r\n\r\nI think the latest update on the ELECTRA pretraining/fine-tuning is this comment from @LysandreJik :+1: \r\nhttps://github.com/huggingface/transformers/pull/4656#issuecomment-711082850\r\n\r\nSo you could use e.g. this implementation: https://github.com/richarddwang/electra_pytorch",
"This is... | 1,658 | 1,662 | 1,662 | NONE | null | Hi, I have a new corpus and want to fine-tune ELECTRA for better result. ELECTRA used generator as generator after that used discriminator. Can run file run_mlm.py makes my pre-trained electra works better ? | {
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https://api.github.com/repos/huggingface/transformers/issues/18284 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18284/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18284/comments | https://api.github.com/repos/huggingface/transformers/issues/18284/events | https://github.com/huggingface/transformers/issues/18284 | 1,316,929,468 | I_kwDOCUB6oc5Ofr-8 | 18,284 | Initializing attention weights in T5 | {
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"It also confuses me.\r\n\r\n@patrickvonplaten @patil-suraj @craffel",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues that do not follow the [contributing guidelines]... | 1,658 | 1,667 | 1,667 | NONE | null | @patrickvonplaten @patil-suraj @craffel
Excuse me if this question is repeated but I did not find an answer for it
In these lines
```
elif isinstance(module, (LongT5Attention, LongT5LocalAttention, LongT5TransientGlobalAttention)):
# Mesh TensorFlow attention initialization to avoid scal... | {
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https://api.github.com/repos/huggingface/transformers/issues/18283 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18283/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18283/comments | https://api.github.com/repos/huggingface/transformers/issues/18283/events | https://github.com/huggingface/transformers/pull/18283 | 1,316,916,718 | PR_kwDOCUB6oc48C2SZ | 18,283 | Add Italian translation of converting_tensorflow_models.mdx | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Hi @Xpiri you started a new line many times, could you check?\r\n\r\ne.g. A partire dalla versione 2.3.0 lo script di conversione รจ parte di transformers CLI (**transformers-cli**), disponibile in ogni installazione \r\ndi transforme... | 1,658 | 1,658 | 1,658 | CONTRIBUTOR | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/18282 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18282/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18282/comments | https://api.github.com/repos/huggingface/transformers/issues/18282/events | https://github.com/huggingface/transformers/issues/18282 | 1,316,872,756 | I_kwDOCUB6oc5OfeI0 | 18,282 | How to freeze GPT-2 model layers with Tensorflow/Keras? | {
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"cc @Rocketknight1 @gante ",
"Hi @kmkarakaya ๐ \r\n\r\nโ ๏ธ Disclaimer: this is untested with `.fit()`, please let me know if it works! I'll edit the comment afterwards depending on your answer.\r\n\r\nThe weights can be frozen by setting a `Layer` attribute to `False`, as per [Keras' docs](https://keras.io/guides... | 1,658 | 1,678 | 1,663 | NONE | null | ### Feature request
I read the post https://github.com/huggingface/transformers/issues/12881.
It seems that no progress on feezing GPT layers with keras has been reported.
Are there any updates or work around for freezing GPT-2 model layers at Tensorflow?
Thank you
### Motivation
For finetuning, I want to up... | {
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https://api.github.com/repos/huggingface/transformers/issues/18281 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18281/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18281/comments | https://api.github.com/repos/huggingface/transformers/issues/18281/events | https://github.com/huggingface/transformers/issues/18281 | 1,316,788,904 | I_kwDOCUB6oc5OfJqo | 18,281 | T5 generate with do_sample doesn't work on DeepSpeed Stage 3 | {
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"cc @stas00 ",
"@lkm2835, looking at your code you linked to, you must use `generate(..., synced_gpus=True)` when using ZeRO stage-3",
"@stas00, Thank you for your advice!\r\n\r\nIt works using `synced_gpus`!\r\n\r\nhttps://huggingface.co/docs/transformers/v4.20.1/en/main_classes/text_generation#transformers.ge... | 1,658 | 1,658 | 1,658 | CONTRIBUTOR | null | ### System Info
transformers == 4.20.1
python == 3.8.13
OS == ubuntu 20.4
DeepSpeed == 0.6.7
### Who can help?
@patrickvonplaten
### 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/18280 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18280/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18280/comments | https://api.github.com/repos/huggingface/transformers/issues/18280/events | https://github.com/huggingface/transformers/pull/18280 | 1,316,767,062 | PR_kwDOCUB6oc48CWEU | 18,280 | Raise a TF-specific error when importing Torch classes | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@LysandreJik I'm not sure! I think it's more obvious that \"TFAutoModel\" is TF-specific, and it's only the PyTorch classes that don't specify the framework in their names. But I guess it's okay to add the inverse error too, one sec!... | 1,658 | 1,659 | 1,658 | MEMBER | null | We've had a couple of reports from users that the class naming is confusing - they import `AutoModel` but don't realize that it's a PyTorch-only class, and the error message doesn't give them any guidance except to tell them to install PyTorch.
This PR adds a check to `requires_backends`, so that if the user tries t... | {
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https://api.github.com/repos/huggingface/transformers/issues/18279 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18279/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18279/comments | https://api.github.com/repos/huggingface/transformers/issues/18279/events | https://github.com/huggingface/transformers/issues/18279 | 1,316,532,759 | I_kwDOCUB6oc5OeLIX | 18,279 | 'FlavaModelOutput' object has no attribute 'contrastive_logits_per_image' | {
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"Hey @ans92! It seems there's an error in the documentation indeed. This code example works with the `FlavaForPreTraining` model, rather than the `FlavaModel.\r\n\r\nWould you like to open a Pr to fix this?",
"This issue has been automatically marked as stale because it has not had recent activity. If you think t... | 1,658 | 1,682 | 1,662 | NONE | null | Hi, I have used a code of Flava model from this link:
```
https://huggingface.co/docs/transformers/model_doc/flava#transformers.FlavaModel.forward.example
```
But I am getting the following error:
```
'FlavaModelOutput' object has no attribute 'contrastive_logits_per_image'
```
Could you please help me in solvi... | {
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https://api.github.com/repos/huggingface/transformers/issues/18278 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18278/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18278/comments | https://api.github.com/repos/huggingface/transformers/issues/18278/events | https://github.com/huggingface/transformers/issues/18278 | 1,316,513,959 | I_kwDOCUB6oc5OeGin | 18,278 | Kindly provide a sample dataset used in layoutlmv3. | {
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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... | 1,658 | 1,661 | 1,661 | NONE | null | ### Feature request
Need a dataset sample to explore and know how it's
been prepared.
### Motivation
@NielsRogge
### Your contribution
@NielsRogge | {
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https://api.github.com/repos/huggingface/transformers/issues/18277 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18277/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18277/comments | https://api.github.com/repos/huggingface/transformers/issues/18277/events | https://github.com/huggingface/transformers/issues/18277 | 1,316,388,088 | I_kwDOCUB6oc5Odnz4 | 18,277 | Does 'convert_data2vec_text_original_pytorch_checkpoint_to_pytorch.py' transfer data2vec-text model's parameter well? | {
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"cc @patrickvonplaten ",
"I myself solve this issue by tweaking the codes, leaving pooler parameters blank but others to be transferred. \r\n\r\nIn my opinion, however, there's no MLM task in data2vec Text model's pretraining procedure, so imported model should be 'Data2VecTextModel' not 'Data2VecTextForMaskedLM'... | 1,658 | 1,663 | 1,663 | NONE | null | ### System Info
```shell
- `transformers` version: 4.21.0.dev0
- Platform: Linux-3.10.0-1160.42.2.el7.x86_64-x86_64-with-glibc2.17
- Python version: 3.8.13
- Huggingface_hub version: 0.8.1
- PyTorch version (GPU?): 1.10.1+cu111 (False)
```
### Information
- [X] The official example scripts
- [ ] My ow... | {
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https://api.github.com/repos/huggingface/transformers/issues/18276 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18276/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18276/comments | https://api.github.com/repos/huggingface/transformers/issues/18276/events | https://github.com/huggingface/transformers/issues/18276 | 1,316,072,655 | I_kwDOCUB6oc5OcazP | 18,276 | Debertav2 debertav3 TPU : socket closed | {
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"Hi @Shiro-LK, we're seeing other reports of issues with DeBERTa running slowly on TPU with TF - see #18239. I'm not sure what the cause of the \"socket closed\" error is though - the other user got it to run, but just had a lot of slowdown on one of the layers.",
"@Rocketknight1 Thank for the reply. Yes I have ... | 1,658 | 1,662 | 1,662 | NONE | null | ### System Info
- `transformers` version: 4.20.1
- 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 (False)
- Tensorflow version (GPU?): 2.8.2 (False)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Ja... | {
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https://api.github.com/repos/huggingface/transformers/issues/18275 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/18275/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/18275/comments | https://api.github.com/repos/huggingface/transformers/issues/18275/events | https://github.com/huggingface/transformers/issues/18275 | 1,315,928,894 | I_kwDOCUB6oc5Ob3s- | 18,275 | My model's Hosted Inference API is returning "Internal Server Error" and when fetching the API it eternally loads. | {
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"Its working again, seems like something did happen with the servers."
] | 1,658 | 1,658 | 1,658 | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.6.1
- Platform: Windows-10-10.0.19043-SP0
- Python version: 3.8.10
- PyTorch version (GPU?): 1.8.1 (True)
- Tensorflow version (GPU?): 2.6.0 (False)
- Using GPU in script?: Yes
- Using distributed or parallel set-up in script?: No
### Who can help?
_No ... | {
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