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https://api.github.com/repos/huggingface/transformers/issues/16469 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16469/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16469/comments | https://api.github.com/repos/huggingface/transformers/issues/16469/events | https://github.com/huggingface/transformers/pull/16469 | 1,184,273,064 | PR_kwDOCUB6oc41Mwne | 16,469 | missing trainer import | {
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"solved from: https://github.com/huggingface/transformers/issues/16468"
] | 1,648 | 1,648 | 1,648 | NONE | null | hi, I try to install transformers from source code and find that the pip list does not find the package despite there is no error in installing
git clone https://github.com/huggingface/transformers.git
cd transformers
pip install -e .
the installing output
Obtaining file:///workspace/tmp/transformers
Inst... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,648 | 1,648 | 1,648 | CONTRIBUTOR | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/16466 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16466/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16466/comments | https://api.github.com/repos/huggingface/transformers/issues/16466/events | https://github.com/huggingface/transformers/issues/16466 | 1,184,078,682 | I_kwDOCUB6oc5Gk5ta | 16,466 | TEAMS: Training ELECTRA Augmented with Multi-word Selection | {
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"Issue that tracks generation of pre-training data: https://github.com/tensorflow/models/issues/10567"
] | 1,648 | 1,648 | null | COLLABORATOR | null | Hi,
this [ACL paper](https://arxiv.org/abs/2106.00139) from last year (2021) proposed an ELECTRA extension:
> Pre-trained text encoders such as BERT and its variants have recently achieved state-of-the-art performances on many NLP tasks. While being effective, these pre-training methods typically demand massive c... | {
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https://api.github.com/repos/huggingface/transformers/issues/16465 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16465/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16465/comments | https://api.github.com/repos/huggingface/transformers/issues/16465/events | https://github.com/huggingface/transformers/pull/16465 | 1,184,052,784 | PR_kwDOCUB6oc41MCGb | 16,465 | TF: properly handle kwargs in encoder_decoder architectures | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,648 | 1,648 | 1,648 | MEMBER | null | # What does this PR do?
Fixes #16400
Our `input_processing` function is very strict and raises an exception if unexpected kwargs are passed. In the issue linked above, it was found that an exception was being raised and, upon further inspection, we can see that some arguments were being passed in the wrong place... | {
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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... | 1,648 | 1,660 | 1,651 | NONE | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: 4.17.0
- Platform: Linux-4.15.0-142-generic-x86_64-with-debian-stretch-sid
- Python version: 3.7.12
- PyTorc... | {
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https://api.github.com/repos/huggingface/transformers/issues/16463 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16463/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16463/comments | https://api.github.com/repos/huggingface/transformers/issues/16463/events | https://github.com/huggingface/transformers/issues/16463 | 1,183,964,261 | I_kwDOCUB6oc5Gkdxl | 16,463 | Export longformer to ONNX | {
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"> Is it possible to add support to longformer, please? Thanks\r\n\r\nHey @anasilvasd we have created a group recently that aims to add ONNX support for all models on the hub. Maybe you could help us by doing the implementation yourself?\r\n\r\nHere is the link of the issue relating all the models that need help #1... | 1,648 | 1,651 | 1,651 | NONE | null | Hi :) I need to convert a pre-trained pytorch model to tensorflow 2. I'm trying to follow these instructions https://huggingface.co/docs/transformers/serialization#exporting-a-model-to-onnx (export to onnx first).
But I'm having this error:
KeyError: "longformer is not supported yet. Only ['albert', 'bart', 'mbar... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Hi, @johko\r\n\r\nThank you for this PR! Really appreciated.\r\n\r\nI just realized that we have [PT_VISION_BASE_MODEL_SAMPLE](https://github.com/huggingface/transformers/blob/c85547af2b69f9082bcd7bac97092b1d162f3fdc/src/transformers... | 1,648 | 1,649 | 1,649 | CONTRIBUTOR | null | # What does this PR do?
Add doctests for the TF version of ViT
Fixes # (issue)
#16292
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/m... | {
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"Unfortunately, we can't change the `EvalPredictions` namedtuple structure like this as it would be a massive breaking change. Users would suddenly have to unpack it with three objects instead of two, so every `compute_metrics` functi... | 1,648 | 1,649 | 1,649 | CONTRIBUTOR | null | # What does this PR do?
This is a PR suggestion for including the inputs in the EvalPrediction object to perform metrics calculation that depends on inputs. For example, simplification metrics such as SARI not only use the predictions and references but also the inputs for the score calculation.
The proposed imple... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_16459). All of your documentation changes will be reflected on that endpoint.",
"Hi @ydshieh , I would need your help to move forward in my case ",
"Hi, @abdouaziz \r\n\r\nSorry for the late response. The Bart model is i... | 1,648 | 1,652 | 1,652 | NONE | null | # What does this PR do?
Adds BART and IBERT to the doc tests. | {
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https://api.github.com/repos/huggingface/transformers/issues/16458 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16458/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16458/comments | https://api.github.com/repos/huggingface/transformers/issues/16458/events | https://github.com/huggingface/transformers/issues/16458 | 1,183,833,016 | I_kwDOCUB6oc5Gj9u4 | 16,458 | How to improve accuracy (Model on TrOCR) | {
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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... | 1,648 | 1,707 | 1,651 | NONE | null | I use TrOCR model to generate the math expression LATEX sequence according to the handwritten math expression image .
but the consequences are unsatisfactory ;below are eval/loss 、train loss and the repository :https://github.com/win5923/TrOCR-Handwritten-Mathematical-Expression-Recognition
![image](https://user-ima... | {
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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... | 1,648 | 1,651 | 1,651 | NONE | null | # 🖥 Benchmarking `transformers`
## Benchmark
Which part of `transformers` did you benchmark?
## Set-up
What did you run your benchmarks on? Please include details, such as: CPU, GPU? If using multiple GPUs, which parallelization did you use?
## Results
Put your results here!
| {
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"I don't think the pre-trained language model weights are available for deberta-base, so the output looks completely random. See here for more info: https://github.com/huggingface/transformers/issues/15216",
"I see but it does not also work for base-v3 as well I will check other models and see.",
"This issue ha... | 1,648 | 1,651 | 1,651 | NONE | null | I do not understand why would you add this model here write lengthy documentation and let it not work at all.
**Its prediction is: The capital of France is plunge**
I have tried on multiple machines and multiple version of transformers and the results are just random.
from transformers import pipeline
... | {
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https://api.github.com/repos/huggingface/transformers/issues/16455 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16455/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16455/comments | https://api.github.com/repos/huggingface/transformers/issues/16455/events | https://github.com/huggingface/transformers/issues/16455 | 1,183,727,498 | I_kwDOCUB6oc5Gjj-K | 16,455 | T5base loss function | {
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"Hey @KevinZhoutianyi,\r\n\r\nSorry I don't fully here exactly what the problem is. Could you add a reproducible code snippet that shows the problem? \r\n\r\nRegarding fine-tuning T5 for translation, there are some examples on the forum: https://discuss.huggingface.co/ I believe.",
"This issue has been automatica... | 1,648 | 1,664 | 1,652 | NONE | null | Hi!
I am now using the T5-base pretrained model for translation. For the loss function, it seems that you did not get rid of the loss
for the <padding> token. (ie. you did not use ignore index in cross entropy loss).
I used model(x_id,x_attn,y_id,y_attn).loss to get the loss from the pre-trained model. It seems... | {
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"I need to check why\r\n\r\n```\r\n@unittest.skipIf(len(tf.config.list_physical_devices(\"GPU\")) > 0, \"skip testing on GPU for now to avoid GPU OOM.\")\r\n```\r\ncauses problems in other tests (torch, pipeline etc ...)\r\n",
"_The documentation is not available anymore as the PR was closed or merged._",
"Rega... | 1,648 | 1,648 | 1,648 | COLLABORATOR | null | # What does this PR do?
Fix some TF-GPT-J CI testing (scheduled)
- `test_mixed_precision`: require some casting
- `test_saved_model_creation` and `test_saved_model_creation_extended`: require `shape_list` instead of `shape`
- `test_model_from_pretrained`: skip for now otherwise GPU OOM
With the changes this ... | {
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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... | 1,648 | 1,651 | 1,651 | NONE | null | EDIT: This happens each time the model is loaded again from disk. Once model is loaded the logits are the same each run for the same input but when I reload the model the logits change.
I tried to run the official example of Deberta and found that the output logins are just random numbers that change every time i ... | {
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"I also tried a ZeroShotClassificationPipeline, \r\nHaving a sentence too long raises a \"Tensor length mismatch error\". \r\n\r\nCould it be possible to truncate to max_length by default? \r\n\r\nOr could it be feasible to let us pass the arguments in the pipeline ? \r\n\r\nNote that : \r\n```python\r\nmy_pipelin... | 1,648 | 1,653 | 1,653 | NONE | null | Possible Bu:g Only the truncate function is available for feature extraction, seems explicit omit but I do not see the reason why other arguments of the tokenizer could not be passed
See https://github.com/huggingface/transformers/blob/main/src/transformers/pipelines/feature_extraction.py#L54
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"_The documentation is not available anymore as the PR was closed or merged._",
"@[sgugger](https://github.com/sgugger) this should be ready for review.\r\nYou were right that there were a couple of more places to change, and the logic is quite inconsistent in places. I've tried to be on the defensive side in cov... | 1,648 | 1,648 | 1,648 | CONTRIBUTOR | null | # What does this PR do?
* Respects get_train_dataloader and such, rather than going back and looking at .train_dataset or requiring attributes in the dataloader to be accessible directly.
* This allows for overriding it by any object which implements the methods required by a DataLoader (`__len__` and `__iter__`... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,648 | 1,648 | 1,648 | CONTRIBUTOR | null | # What does this PR do?
This PR makes the code example of GLPNForDepthEstimation more meaningful, showing an end-to-end example of how to visualize the predicted depth on the cats image. | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,648 | 1,648 | 1,648 | MEMBER | null | # What does this PR do?
This PR fixes a small bug that was introduced in #16389 where a `kwargs` argument was added to the `forward` pass of the MLM IBERT class.
Once this is merged, the slow ONNX test for this model should also pass.
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,648 | 1,649 | 1,649 | CONTRIBUTOR | null | # What does this PR do?
This PR fixes the doc example of `xxxForSequenceClassification` models. I wonder how this test passes currently, cause for me it returned an error as the labels are of shape `(batch_size, num_labels)` but the `problem_type` wasn't set to "multi_label_classification".
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https://api.github.com/repos/huggingface/transformers/issues/16447 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16447/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16447/comments | https://api.github.com/repos/huggingface/transformers/issues/16447/events | https://github.com/huggingface/transformers/issues/16447 | 1,183,310,983 | I_kwDOCUB6oc5Gh-SH | 16,447 | HF TF models can be used with TFX | {
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"Sounds exciting. I'm curious to hear if you all at HF plan to collaborate with @rcrowe-google and the TFX folks on this and, if so, in what capacity.",
"Yup. We're just starting to meet now, with a goal of strong alignment.",
"This issue has been automatically marked as stale because it has not had recent act... | 1,648 | 1,691 | 1,691 | MEMBER | null | # 🚀 Feature request
Hugging Face TensorFlow models can be used with [TensorFlow Extended](https://www.tensorflow.org/tfx).
## Motivation
TensorFlow Extended goes beyond Tensorflow with respect to production-ready capabilities. Ensuring our models can be used with it just like [TensorFlow Hub](https://www.tens... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,648 | 1,649 | 1,649 | CONTRIBUTOR | null | # What does this PR do?
When a user overrides `HUGGINGFACE_CO_RESOLVE_ENDPOINT` (or `HF_ENDPOINT`),
then the errors messages still point to `https://huggingface.co` even if the
code is not trying to fetch from there.
This PR proposes to change and make the error message reflect the correct
endpoint that was looked up... | {
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https://api.github.com/repos/huggingface/transformers/issues/16445 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16445/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16445/comments | https://api.github.com/repos/huggingface/transformers/issues/16445/events | https://github.com/huggingface/transformers/pull/16445 | 1,183,266,134 | PR_kwDOCUB6oc41JadJ | 16,445 | [TENTATIVE] Updating variable names HUGGINGFACE_CO_RESOLVE_ENDPOINT into HF_ENDPOINT. | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"> This is purely cosmetic and internal, so I don't really see the point. We usually don't bother with renaming in those situations.\r\n\r\nIs there any downsides to making the modifications ?\r\n\r\nConsistency in naming has a lot of... | 1,648 | 1,651 | 1,651 | CONTRIBUTOR | null | # What does this PR do?
`HUGGINGFACE_CO_RESOLVE_ENDPOINT` is deprecated and will go away in favor
of `HF_ENDPOINT`.
In order to maximize consistency, this PR renames the variable name itself.
This is tentative, since there might have been reasons to keep the old name for
the variable.
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https://api.github.com/repos/huggingface/transformers/issues/16444 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16444/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16444/comments | https://api.github.com/repos/huggingface/transformers/issues/16444/events | https://github.com/huggingface/transformers/pull/16444 | 1,183,149,496 | PR_kwDOCUB6oc41JBxa | 16,444 | [FlaxSpeechEncoderDecoderModel] Ensure Input and Output Word Embeddings Are **Not** Tied | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,648 | 1,648 | 1,648 | CONTRIBUTOR | null | In a seq2seq Speech-Encoder-Text-Decoder Model, the word embeddings of the text decoder should **not** be tied to the word embeddings of the speech encoder. The embedding matrices lie in two completely different vector spaces that have no affiliation. The embedding matrix for the decoder should be specific to the `XXX... | {
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https://api.github.com/repos/huggingface/transformers/issues/16443 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16443/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16443/comments | https://api.github.com/repos/huggingface/transformers/issues/16443/events | https://github.com/huggingface/transformers/issues/16443 | 1,183,120,610 | I_kwDOCUB6oc5GhPzi | 16,443 | How can i train wav2vec2 with my dataset? | {
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"Hi,\r\n\r\nWe do have several blog posts on that:\r\n\r\n* Fine-Tune Wav2Vec2 for English ASR with 🤗 Transformers: https://huggingface.co/blog/fine-tune-wav2vec2-english\r\n* Fine-tuning XLS-R for Multi-Lingual ASR with 🤗 Transformers: https://huggingface.co/blog/fine-tune-xlsr-wav2vec2",
"This issue has been ... | 1,648 | 1,651 | 1,651 | NONE | null | # 🚀 Feature request
i wonder how to preprocess it
<!-- A clear and concise description of the feature proposal.
Please provide a link to the paper and code in case they exist. -->
## Motivation
<!-- Please outline the motivation for the proposal. Is your feature request
related to a problem? ... | {
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"Hi, please consider using the forum to ask such general questions as we use issues for for bug reports and feature requests, thanks!\r\n\r\nThe `Trainer` should automatically log during training, you can control the logging using `--logging_strategy` and `--logging_steps` argument. You can also use TensorBoard or ... | 1,648 | 1,648 | 1,648 | NONE | null | In the `transformers/examples/pytorch/translation/run_translation.py`, it seems it only produce `the runs` log file after stopping training. Is it possible to generate the runs log while training through certain steps in that script? I fail to see any readme talk about it. Any advice will be appreciated. | {
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https://api.github.com/repos/huggingface/transformers/issues/16441 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16441/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16441/comments | https://api.github.com/repos/huggingface/transformers/issues/16441/events | https://github.com/huggingface/transformers/pull/16441 | 1,183,017,300 | PR_kwDOCUB6oc41Il4i | 16,441 | Doctest longformer | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Hey @KMFODA, thanks for your PR! Could you rebase/merge on `main` so that the CI passes? Thank you!",
"apologies @LysandreJik, had merged with master not main. Fixed now :).",
"@KMFODA would it be ok if we go into the PR to finis... | 1,648 | 1,652 | 1,652 | CONTRIBUTOR | null | # What does this PR do?
adds LONGFORMER PT to doctests
@patrickvonplaten - `LongformerForMaskedLM` and `LongformerForQuestionAnswering` have `@replace_return_docstrings `instead of `@add_code_sample_docstrings`. Should I be replacing them with that instead so that I can test for `expected_output` & `expected_loss... | {
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https://api.github.com/repos/huggingface/transformers/issues/16440 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16440/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16440/comments | https://api.github.com/repos/huggingface/transformers/issues/16440/events | https://github.com/huggingface/transformers/issues/16440 | 1,182,838,384 | I_kwDOCUB6oc5GgK5w | 16,440 | How can I use MLM and NSP to train Bert from scratch? | {
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"Hi,\r\n\r\nI've answered this question on Stackoverflow [here](https://stackoverflow.com/questions/65646925/how-to-train-bert-from-scratch-on-a-new-domain-for-both-mlm-and-nsp/65760008#65760008).",
"OK, thanks!!!"
] | 1,648 | 1,648 | 1,648 | NONE | null | How can I use MLM and NSP to train Bert from scratch? | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"I think this is what is required something up with CI failing code quality check? \r\n```\r\n#!/bin/bash -eo pipefail\r\nblack --check examples tests src utils\r\nSkipping .ipynb files as Jupyter dependencies are not installed.\r\nYo... | 1,648 | 1,649 | 1,649 | CONTRIBUTOR | null | # What does this PR do?
Fixes the broken doc tests for GPT-2
Apart of the documentation sprint work.
Fixes [Github issue] (https://github.com/huggingface/transformers/issues/16292)
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x]... | {
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https://api.github.com/repos/huggingface/transformers/issues/16438 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16438/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16438/comments | https://api.github.com/repos/huggingface/transformers/issues/16438/events | https://github.com/huggingface/transformers/issues/16438 | 1,182,611,456 | I_kwDOCUB6oc5GfTgA | 16,438 | clean_up_tokenization_spaces=True won't clean up spaces | {
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"Hi @MorenoLaQuatra,\r\n\r\nThis is normal, as punctuation is considered as token splitter by this tokenizer. The `clean_up` is only meant to remove duplicate spaces, and normalize other space characters into the regular ascii one.\r\n\r\nWhat are you trying to achieve ?\r\n\r\nUsing `.offset_mapping` is in general... | 1,648 | 1,654 | 1,648 | CONTRIBUTOR | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: 4.17.0
- Platform: Linux-5.10.0-051000-generic-x86_64-with-glibc2.10
- Python version: 3.8.5
- PyTorch versi... | {
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https://api.github.com/repos/huggingface/transformers/issues/16430 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16430/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16430/comments | https://api.github.com/repos/huggingface/transformers/issues/16430/events | https://github.com/huggingface/transformers/issues/16430 | 1,182,251,006 | I_kwDOCUB6oc5Gd7f- | 16,430 | m2m-100 finetuning messes up lang pairs | {
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"cc @patil-suraj ",
"Hi @ArtanisTheOne ,\r\n\r\nAs specified in the [docs](https://huggingface.co/docs/transformers/model_doc/m2m_100), to generate output in a specific language with M2M100, we should set the `forced_bos_token_id` in `config` or pass it to `generate`. \r\nFor example to generate translations in S... | 1,648 | 1,658 | 1,648 | NONE | null | ## Issue
Currently if I attempt to fine-tune M2M100 (many-to-many 100) on one language pair, what happens is the training data is convoluted and output translations from other language pairs are messed up. Further more, in the compute_metric which is ran when evaluate() is called and validation data is processed, the ... | {
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https://api.github.com/repos/huggingface/transformers/issues/16429 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16429/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16429/comments | https://api.github.com/repos/huggingface/transformers/issues/16429/events | https://github.com/huggingface/transformers/pull/16429 | 1,181,994,109 | PR_kwDOCUB6oc41FMvU | 16,429 | Adding missing type hints for mBART model (PyTorch) | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Hi, this looks good, and I'm sorry for the delay! I'm guessing the failing tests are due to issues we fixed recently, and would go away if you rebased the PR onto the most recent `huggingface/transformers/main` and force-pushed. If y... | 1,648 | 1,648 | 1,648 | CONTRIBUTOR | null | PyTorch Implementation model added with missing type hints
# What does this PR do?
Added type hints for mBART PyTorch as described in https://github.com/huggingface/transformers/issues/16059
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the ... | {
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https://api.github.com/repos/huggingface/transformers/issues/16428 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16428/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16428/comments | https://api.github.com/repos/huggingface/transformers/issues/16428/events | https://github.com/huggingface/transformers/pull/16428 | 1,181,990,730 | PR_kwDOCUB6oc41FL-Z | 16,428 | Jia multi gpu eval | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Hey @liyongsea, thanks for your PR! Could you rebase/merge on `main` so that the CI passes? Thank you!",
"There seems to be also a minor issue with the code style. The CI enforces some standards and you can fix any formatting issue... | 1,648 | 1,649 | 1,649 | CONTRIBUTOR | null | # What does this PR do?
This PR provdie a script to run codeparrot human eval in multi GPU mode
The code is a enhanced version of human_eval.py
# Performance data
The performance is check using the following command
```
accelerate launch scripts/human_eval.py --model_ckpt lvwerra/codeparrot-small --do_sample Tr... | {
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https://api.github.com/repos/huggingface/transformers/issues/16427 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16427/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16427/comments | https://api.github.com/repos/huggingface/transformers/issues/16427/events | https://github.com/huggingface/transformers/pull/16427 | 1,181,868,207 | PR_kwDOCUB6oc41Ewbn | 16,427 | add Bigbird ONNX config | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"5040f17eba15504bad66b14a645bddd9b015ebb7 #15622 ",
"@lewtun Thank you for reviewing my code. I have fixed the merge conflicts and all tests by running this `RUN_SLOW=1 pytest tests/onnx/test_onnx_v2.py -k \"bigbird\"` was passed.",... | 1,648 | 1,649 | 1,649 | CONTRIBUTOR | null | # What does this PR do?
Add Bigbird OnnxConfig to make this model available for conversion.
## Who can review?
@lewtun @LysandreJik | {
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https://api.github.com/repos/huggingface/transformers/issues/16426 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16426/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16426/comments | https://api.github.com/repos/huggingface/transformers/issues/16426/events | https://github.com/huggingface/transformers/pull/16426 | 1,181,834,250 | PR_kwDOCUB6oc41EpBR | 16,426 | Add bigbird onnx config | {
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Adds Bigbird OnnxConfig to make this model available for conversion.
## Who can review?
@michaelbenayoun @lewtun
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https://api.github.com/repos/huggingface/transformers/issues/16425 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16425/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16425/comments | https://api.github.com/repos/huggingface/transformers/issues/16425/events | https://github.com/huggingface/transformers/pull/16425 | 1,181,809,314 | PR_kwDOCUB6oc41Ejh0 | 16,425 | Add type hints for PyTorch Models | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_16425). All of your documentation changes will be reflected on that endpoint.",
"Hello all,\r\n\r\nI changed the cokkiecutter template code because the `check_copies` script couldn't correct code that got changed to multipl... | 1,648 | 1,649 | 1,649 | CONTRIBUTOR | null | # What does this PR do?
<!--
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Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
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https://api.github.com/repos/huggingface/transformers/issues/16424 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16424/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16424/comments | https://api.github.com/repos/huggingface/transformers/issues/16424/events | https://github.com/huggingface/transformers/issues/16424 | 1,181,794,270 | I_kwDOCUB6oc5GcL_e | 16,424 | PerceiverIO Attention maps | {
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"Hi,\r\n\r\nYou can get the attention scores by passing `output_attentions=True` to the forward method of any model in the Transformers library. See an example of how you can visualize the attention maps of DETR in [this notebook](https://github.com/NielsRogge/Transformers-Tutorials/blob/master/DETR/DETR_minimal_ex... | 1,648 | 1,651 | 1,651 | NONE | null | Hi, I am quite amazed with the usage and the implementation of PerceiverIO so far.
I am trying to visualize the attention maps for an arbitrary image using "PerceiverForImageClassificationConvProcessing".
I want to visualize the attention maps like in https://arxiv.org/pdf/2103.03206.pdf Figure 3.
I can hook in... | {
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https://api.github.com/repos/huggingface/transformers/issues/16423 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16423/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16423/comments | https://api.github.com/repos/huggingface/transformers/issues/16423/events | https://github.com/huggingface/transformers/issues/16423 | 1,181,747,184 | I_kwDOCUB6oc5GcAfw | 16,423 | Train on custom translation dataset - machine translation | {
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"Hi @Gare-Ng , if you have the dataset in jsonl files\r\n\r\nI don't think you need the `dataset_name and dataset_config_name.` parameters; you should use this instead to run the script\r\n\r\n```\r\n--train_file train.json \\\r\n--validation_file dev.json \\\r\n--test_file test.json \\\r\n```",
"@ToluClassics Th... | 1,648 | 1,678 | 1,648 | NONE | null | After my reading the readme in pytorch translation example, it says
> And here is how you would use the translation finetuning on your own files, after adjusting the values for the arguments --train_file, --validation_file to match your setup:
>
> python examples/pytorch/translation/run_translation.py \
> --... | {
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https://api.github.com/repos/huggingface/transformers/issues/16422 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16422/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16422/comments | https://api.github.com/repos/huggingface/transformers/issues/16422/events | https://github.com/huggingface/transformers/issues/16422 | 1,181,738,851 | I_kwDOCUB6oc5Gb-dj | 16,422 | Add TF implementation of XGLM model | {
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"Thanks a lot for willing to work on this, happy to help with it :) ",
"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]... | 1,648 | 1,661 | 1,661 | CONTRIBUTOR | null | # 🚀 Feature request
Add TF implementation of XGLM model
## Motivation
Narrow the gap between PT and TF implementations.
## Your contribution
I'd like to work on this. | {
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https://api.github.com/repos/huggingface/transformers/issues/16421 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16421/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16421/comments | https://api.github.com/repos/huggingface/transformers/issues/16421/events | https://github.com/huggingface/transformers/pull/16421 | 1,181,702,966 | PR_kwDOCUB6oc41EL2C | 16,421 | Fix typo in language modeling example comment | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,648 | 1,648 | 1,648 | CONTRIBUTOR | null | # What does this PR do?
Fix typo in comment: proprocessed -> preprocessed
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https://api.github.com/repos/huggingface/transformers/issues/16420 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16420/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16420/comments | https://api.github.com/repos/huggingface/transformers/issues/16420/events | https://github.com/huggingface/transformers/issues/16420 | 1,181,688,638 | I_kwDOCUB6oc5GbyM- | 16,420 | Providing a easier way to download pre-trained models. | {
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"Hello! I recommend using `snapshot_download`, from the `huggingface_hub` package:\r\n```\r\nfrom huggingface_hub import snapshot_download\r\n```\r\n\r\nSee https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/snapshot_download.py#L21, especially the `allow_regex` and `ignore_regex` which sh... | 1,648 | 1,648 | 1,648 | NONE | null | # 🚀 Feature request
I tried to download T5-base manually because of my special environment. I tried to git clone T5-base from https://huggingface.co/t5-base. The model in PyTorch (which I am using) is only about 800M. However, I need to download files used in other DL frameworks (like TensorFlow). Also, I need to dow... | {
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https://api.github.com/repos/huggingface/transformers/issues/16419 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16419/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16419/comments | https://api.github.com/repos/huggingface/transformers/issues/16419/events | https://github.com/huggingface/transformers/issues/16419 | 1,181,674,913 | I_kwDOCUB6oc5Gbu2h | 16,419 | `Wav2Vec2FeatureExtractor` and `Speech2TextFeatureExtractor` tests fail for truncating `max_length` values | {
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"So despite the `max_length` parameter, it's not actually truncating (rather, it's forgetting to for the last item):\r\n\r\n```\r\n[\r\narray([1, 1, 1, 0], dtype=int32) \r\narray([1, 1, 1, 1], dtype=int32)\r\narray([1, 1, 1, 1, 1, 1], dtype=int32)\r\n]\r\n```\r\n\r\nThe above is a list of \"ragged\" nested sequence... | 1,648 | 1,648 | 1,648 | CONTRIBUTOR | null | # Misleading use of `max_length` in `FeatureExtraction` classes
**TL;DR**
- Currently, setting `max_length` and having features be longer than `max_length` does not necessarily mean it should be `truncation=True`.
- Further look into testing code makes me believe that this is by design, as explained [below](htt... | {
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https://api.github.com/repos/huggingface/transformers/issues/16418 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16418/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16418/comments | https://api.github.com/repos/huggingface/transformers/issues/16418/events | https://github.com/huggingface/transformers/pull/16418 | 1,181,670,011 | PR_kwDOCUB6oc41EEd8 | 16,418 | [Flax] Improve Robustness of Back-Prop Tests | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,648 | 1,648 | 1,648 | CONTRIBUTOR | null | This PR makes several modifications to the `test_freeze_feature_encoder` tests for two Flax models, FlaxWav2Vec2 and FlaxSpeechEncoderDecoderModel. This test is in place to verify that feature encoder of the FlaxWav2Vec2 model is correctly frozen when the keyword argument `freeze_feature_encoder` is set to `True`. This... | {
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https://api.github.com/repos/huggingface/transformers/issues/16417 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16417/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16417/comments | https://api.github.com/repos/huggingface/transformers/issues/16417/events | https://github.com/huggingface/transformers/issues/16417 | 1,181,643,806 | I_kwDOCUB6oc5GbnQe | 16,417 | RuntimeError: params[0] in this process with sizes [253991, 1024] appears not to match sizes of the same param in process 0 | {
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"As the error says, a parameter in your model is not the same size in all processes. It looks like it's your number of tokens, zso make sure you are doing the same preprocessing on each process.",
"> As the error says, a parameter in your model is not the same size in all processes. It looks like it's your number... | 1,648 | 1,651 | 1,651 | NONE | null | I am fine tuning masked language model from XLM Roberta large on google machine specs. `I have extended vocabulary by adding extra tokens.
`
I am using pre-trained Hugging face model.
I launch it as train.py file which I copy inside docker image and use vertex-ai ( GCP) to launch it using Containerspec
mach... | {
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https://api.github.com/repos/huggingface/transformers/issues/16416 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16416/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16416/comments | https://api.github.com/repos/huggingface/transformers/issues/16416/events | https://github.com/huggingface/transformers/pull/16416 | 1,181,553,214 | PR_kwDOCUB6oc41DrZL | 16,416 | added typehints for RAG pytorch models | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,648 | 1,648 | 1,648 | CONTRIBUTOR | null | # What does this PR do?
<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
Then, please replace this w... | {
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https://api.github.com/repos/huggingface/transformers/issues/16415 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16415/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16415/comments | https://api.github.com/repos/huggingface/transformers/issues/16415/events | https://github.com/huggingface/transformers/issues/16415 | 1,181,364,408 | I_kwDOCUB6oc5GajC4 | 16,415 | Can't load config for 'DeepPavlov/xlm-roberta-large-en-ru' | {
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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... | 1,648 | 1,681 | 1,651 | NONE | null | Similar to this issue: https://github.com/huggingface/transformers/issues/6226
I'm unable to load a config for a specific model when I run the following:
```python
from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.from_pretrained("DeepPavlov/xlm-roberta-large-en-ru")
model = AutoM... | {
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https://api.github.com/repos/huggingface/transformers/issues/16414 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16414/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16414/comments | https://api.github.com/repos/huggingface/transformers/issues/16414/events | https://github.com/huggingface/transformers/pull/16414 | 1,181,202,204 | PR_kwDOCUB6oc41Cf3v | 16,414 | Removed inputs_processing and replaced with decorator for lxmert | {
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"All tests pass after running `RUN_SLOW=1 py.test -vv tests/lxmert/test_modeling_tf_lxmert.py`\r\n```\r\ntests/lxmert/test_modeling_tf_lxmert.py::TFLxmertModelTest::test_attention_outputs PASSED [ 2%]\r\ntests/lxm... | 1,648 | 1,648 | 1,648 | CONTRIBUTOR | null | # What does this PR do?
Replaces usage of `inputs_processing` with decorator `unpack_input` in `lxmert`
See #16051
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](https://github.com/hu... | {
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https://api.github.com/repos/huggingface/transformers/issues/16413 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16413/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16413/comments | https://api.github.com/repos/huggingface/transformers/issues/16413/events | https://github.com/huggingface/transformers/issues/16413 | 1,181,152,901 | I_kwDOCUB6oc5GZvaF | 16,413 | `sequences_scores` does not compute the expected quantity for beam search | {
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"Hey @lxuechen,\r\n\r\nI don't think we can change this really in the code due to backward breaking changes. What you could do is:\r\n\r\n- You can set `self.length_penalty = 0` to not apply any penalty and thus get the correct log probs.\r\n- You would need to run a forward pass on the prompt first to get its prob... | 1,648 | 1,652 | 1,652 | NONE | null | ## Environment info
- `transformers` version: v.4.17.0
Reported issue is with the implementation of the algorithm, and thus is platform independent.
### Who can help
@patrickvonplaten
## Information
From reading the code, it seems the user expectation of the beam search implementation should be that sequ... | {
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https://api.github.com/repos/huggingface/transformers/issues/16412 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16412/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16412/comments | https://api.github.com/repos/huggingface/transformers/issues/16412/events | https://github.com/huggingface/transformers/pull/16412 | 1,181,081,556 | PR_kwDOCUB6oc41CFSK | 16,412 | Use doc builder styler | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,648 | 1,648 | 1,648 | COLLABORATOR | null | # What does this PR do?
This PR removes the `style_doc` script to rely on the `doc-builder style` command instead. The only change (in commands.lfs) is tiny and not unwelcome. | {
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https://api.github.com/repos/huggingface/transformers/issues/16411 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16411/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16411/comments | https://api.github.com/repos/huggingface/transformers/issues/16411/events | https://github.com/huggingface/transformers/issues/16411 | 1,181,039,012 | I_kwDOCUB6oc5GZTmk | 16,411 | How to calculate GPT-2 sentence loss (for each sentence) if batch has 2 or more sentences? | {
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"Hello,\r\n\r\n[Not an official answer, I'm not part of the the team]\r\nThe `GPT2LMHeadModel` uses the `CrossEntropyLoss` with its default parameters. The default for `reduction` is 'mean', so the loss is averaged. One thing that you can do is to define your custom `GPT2LMHeadModel` and replace this:\r\n\r\n```\r\... | 1,648 | 1,651 | 1,651 | NONE | null | I need to calculate loss for batch of sentence but when i do this I get only average loss for all the sentences not all the loses.
from transformers import GPT2LMHeadModel, GPT2Tokenizer
model = GPT2LMHeadModel.from_pretrained('distilgpt2')
loss_list = model(input_ids, labels=input_ids)
Is it pos... | {
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https://api.github.com/repos/huggingface/transformers/issues/16410 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16410/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16410/comments | https://api.github.com/repos/huggingface/transformers/issues/16410/events | https://github.com/huggingface/transformers/issues/16410 | 1,180,929,462 | I_kwDOCUB6oc5GY422 | 16,410 | Edgeformer | {
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"@patrickvonplaten If I can work on this and contribute, do let me know. Meanwhile, I will proceed to read and understand the paper.",
"Hey @reichenbch feel free to work on this if you are interested. Patrick is on vacation this week so I would be happy to help with this :) ",
"@patil-suraj I was thinking first... | 1,648 | 1,680 | null | MEMBER | null | # 🌟 New model addition
## Model description
[EdgeFormer: A Parameter-Efficient Transformer for On-Device Seq2seq Generation](https://arxiv.org/abs/2202.07959)
EdgeFormer: A Parameter-Efficient Transformer for On-Device Seq2seq Generation. Tao Ge and Furu Wei
March 2022: release code and pretrained checkpoi... | {
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https://api.github.com/repos/huggingface/transformers/issues/16409 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16409/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16409/comments | https://api.github.com/repos/huggingface/transformers/issues/16409/events | https://github.com/huggingface/transformers/pull/16409 | 1,180,925,654 | PR_kwDOCUB6oc41BkX9 | 16,409 | TF PushToHubCallback fixes and updates | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Will do!"
] | 1,648 | 1,648 | 1,648 | MEMBER | null | We had a couple of reports of slowdown and hanging with the `PushToHubCallback`. In particular, when training finished, there was a very long wait for the last training checkpoint to be pushed before the end-of-training commit could start, which sometimes seemed like it had hung completely. As a workaround, the end-of-... | {
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https://api.github.com/repos/huggingface/transformers/issues/16408 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16408/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16408/comments | https://api.github.com/repos/huggingface/transformers/issues/16408/events | https://github.com/huggingface/transformers/issues/16408 | 1,180,923,078 | I_kwDOCUB6oc5GY3TG | 16,408 | Is it possible to train all the models available in hub using deepspeed? | {
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"more or less yes, please see https://github.com/huggingface/transformers/pull/12695 - I don't have 100% coverage of all models but the majority of popular models work just fine as seen by the tests.\r\n\r\nI'm not rushing to merge that PR since it's just many tests.\r\n\r\nIf you find any that don't work please re... | 1,648 | 1,648 | 1,648 | NONE | null | If not, how to know which ones?
Specifically, I interested in sentence-transformers models.
(is it possible at all to train them using transformers api?)
@nreimers @stas00
thanks!
| {
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https://api.github.com/repos/huggingface/transformers/issues/16407 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16407/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16407/comments | https://api.github.com/repos/huggingface/transformers/issues/16407/events | https://github.com/huggingface/transformers/pull/16407 | 1,180,913,020 | PR_kwDOCUB6oc41BhtD | 16,407 | [FlaxSpeechEncoderDecoder] Fix feature extractor gradient test | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,648 | 1,648 | 1,648 | CONTRIBUTOR | null | Applies new logic to the `assert_difference` statement in the FlaxSpeechEncoderDecoderModel test. For two arrays `a` and `b`, we compute the absolute difference between the arrays: `diff = np.abs(a - b)`. Only one element of the absolute difference array `diff` has to be greater than the specified tolerance `tol` for ... | {
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https://api.github.com/repos/huggingface/transformers/issues/16406 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16406/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16406/comments | https://api.github.com/repos/huggingface/transformers/issues/16406/events | https://github.com/huggingface/transformers/pull/16406 | 1,180,733,183 | PR_kwDOCUB6oc41A7kw | 16,406 | fixed typo from enable to disable in disable_progress_bar function | {
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"@sgugger can you please review this PR?",
"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,648 | 1,648 | 1,648 | CONTRIBUTOR | null | # What does this PR do?
This PR fixes the typo from `Enable progress bar` to `Disable progress bar` in `disable_progress_bar()` function's documentation.
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case). | {
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https://api.github.com/repos/huggingface/transformers/issues/16405 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16405/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16405/comments | https://api.github.com/repos/huggingface/transformers/issues/16405/events | https://github.com/huggingface/transformers/pull/16405 | 1,180,706,417 | PR_kwDOCUB6oc41A127 | 16,405 | Fix PerceiverMLP and test | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,648 | 1,649 | 1,648 | CONTRIBUTOR | null | # What does this PR do?
<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
Then, please replace this w... | {
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https://api.github.com/repos/huggingface/transformers/issues/16404 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16404/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16404/comments | https://api.github.com/repos/huggingface/transformers/issues/16404/events | https://github.com/huggingface/transformers/issues/16404 | 1,180,665,538 | I_kwDOCUB6oc5GX4bC | 16,404 | Unable to install transformers & its related dependencies due Issue with Python Versions | {
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"cc @ydshieh -- @robotjellyzone was the user I mentioned yesterday, that had the installation uses. It seems like we have related problems for python 3.6 and 3.10 :( ",
"I could reproduce the issue with Python 3.10.\r\nFrom what I could saw (quickly), `ray` doesn't support yet Python 3.10.\r\nSee https://github.c... | 1,648 | 1,658 | 1,651 | CONTRIBUTOR | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: NA
- Platform: Windows 10 (64 bit)
- Python version: 3.6 / 3.10
- PyTorch version (GPU?): NA
- Tensorflow v... | {
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https://api.github.com/repos/huggingface/transformers/issues/16403 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16403/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16403/comments | https://api.github.com/repos/huggingface/transformers/issues/16403/events | https://github.com/huggingface/transformers/issues/16403 | 1,180,643,034 | I_kwDOCUB6oc5GXy7a | 16,403 | R3M: A Universal Visual Representation for Robot Manipulation | {
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## Model description
We pre-train a visual representation using the Ego4D human video dataset using a combination of time-contrastive learning, video-language alignment,and an L1 penalty to encourage sparse and compact representations. The resulting representation, R3M, can be used as a froz... | {
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https://api.github.com/repos/huggingface/transformers/issues/16402 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16402/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16402/comments | https://api.github.com/repos/huggingface/transformers/issues/16402/events | https://github.com/huggingface/transformers/pull/16402 | 1,180,373,549 | PR_kwDOCUB6oc40_vdT | 16,402 | M-CTC-T Model | {
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"Pinging @patrickvonplaten @anton-l @patil-suraj for a midway check-in.\r\n\r\nStill have the following to resolve (some mentioned in slack):\r\n\r\n- [ ] Loading weights from the binary file found [here](https://github.com/flashlight/wav2letter/tree/main/recipes/mling_pl).\r\n- [ ] `Wav2Vec2` has a `Wav2Vec2Tokeni... | 1,648 | 1,654 | 1,654 | CONTRIBUTOR | null | # M-CTC-T Model
See: https://twitter.com/PatrickPlaten/status/1504875528469331972
Very early stage WIP for the mCTC model from the paper [Pseudo-Labeling For Massively Multilingual Speech Recognition](https://arxiv.org/pdf/2111.00161.pdf).
Making this WIP PR in this particularly early stage to track many of t... | {
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https://api.github.com/repos/huggingface/transformers/issues/16401 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16401/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16401/comments | https://api.github.com/repos/huggingface/transformers/issues/16401/events | https://github.com/huggingface/transformers/issues/16401 | 1,180,359,321 | I_kwDOCUB6oc5GWtqZ | 16,401 | Unable to load BART model, AttributeError: module 'jax.ops' has no attribute 'index_update' | {
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"https://jax.readthedocs.io/en/latest/jax.ops.html#module-jax.ops\r\n\r\n> The functions jax.ops.index_update, jax.ops.index_add, etc., which were deprecated in JAX 0.2.22, have been removed. Please use the [jax.numpy.ndarray.at](https://jax.readthedocs.io/en/latest/_autosummary/jax.numpy.ndarray.at.html#jax.numpy.... | 1,648 | 1,648 | 1,648 | CONTRIBUTOR | null | ## Environment info
- `transformers` version: 4.17.0
- Platform: Linux-5.11.0-1018-gcp-x86_64-with-glibc2.31
- Python version: 3.10.4
- PyTorch version (GPU?): not installed (NA)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): 0.4.1 (tpu)
- Jax version: 0.3.4
- JaxLib version:... | {
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https://api.github.com/repos/huggingface/transformers/issues/16400 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16400/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16400/comments | https://api.github.com/repos/huggingface/transformers/issues/16400/events | https://github.com/huggingface/transformers/issues/16400 | 1,180,305,621 | I_kwDOCUB6oc5GWgjV | 16,400 | TFDecoderEncoder: The following keyword arguments are not supported by this model: ['position_ids', 'token_type_ids'] | {
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"@khang-nguyen2907 thank you for raising this. We have been making some changes to simplify our TF model code, and it seems to have caused this issue. I will look into it and keep you in the loop.",
"Old versions of `transformers` seem to have the same behavior, so the root cause is not what I thought. Diving dee... | 1,648 | 1,648 | 1,648 | NONE | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: v4.17.0
- Platform: Google Colab
- Python version: 3.7
- PyTorch version (GPU?): NA
- Tensorflow version (G... | {
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https://api.github.com/repos/huggingface/transformers/issues/16399 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16399/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16399/comments | https://api.github.com/repos/huggingface/transformers/issues/16399/events | https://github.com/huggingface/transformers/pull/16399 | 1,180,129,577 | PR_kwDOCUB6oc40-712 | 16,399 | Add type hints for UniSpeech | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Hey, this looks good but I'm going to leave a final review until the `Wav2vec` issue is resolved - for the record, I think it's totally fine for you to update that file too!",
"Yeah, I think I will work on it and make a commit righ... | 1,648 | 1,648 | 1,648 | CONTRIBUTOR | null | Adding type hints for forward methods in user-facing class for UniSpeech as mentioned in #16059
@Rocketknight1 | {
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https://api.github.com/repos/huggingface/transformers/issues/16398 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16398/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16398/comments | https://api.github.com/repos/huggingface/transformers/issues/16398/events | https://github.com/huggingface/transformers/pull/16398 | 1,180,111,010 | PR_kwDOCUB6oc40-3zy | 16,398 | Adding DocTest to TrOCR | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"I took a quick look for now, and think it is indeed a nice addition, considering there is currently no example in `modeling_trocr.py` at all.\r\nThank you, @arnaudstiegler!\r\n\r\n",
"Addressed the comments and re-ran the test loca... | 1,648 | 1,648 | 1,648 | CONTRIBUTOR | null | # Adding TrOCR to DocTests
For this model, there was actually a single docstring in the entire file (for the forward method).
A couple of comments:
- As far as I'm aware, there is no TF version of this model
- TrOCR is an edge case because it's meant to be used as the decoder for a VisionEncoderDecoder. So the ... | {
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https://api.github.com/repos/huggingface/transformers/issues/16397 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16397/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16397/comments | https://api.github.com/repos/huggingface/transformers/issues/16397/events | https://github.com/huggingface/transformers/pull/16397 | 1,179,926,053 | PR_kwDOCUB6oc40-QWJ | 16,397 | Rename master to main for notebooks links and leftovers | {
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This PR prepares the switch in the notebooks repo default branch from master to main and also catches a few leftovers master that were in the links to transformers GitHub. There are also a few links that were badly converted when moving to the new doc frontend that are fixed (transformers-doc... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,648 | 1,648 | 1,648 | COLLABORATOR | null | # What does this PR do?
This follows up form the split of `file_utils` into several submodules and updates the documentation links (or others) to reflect the new place of the objects. | {
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https://api.github.com/repos/huggingface/transformers/issues/16395 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16395/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16395/comments | https://api.github.com/repos/huggingface/transformers/issues/16395/events | https://github.com/huggingface/transformers/pull/16395 | 1,179,872,508 | PR_kwDOCUB6oc40-EnA | 16,395 | QDQBert example update | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,648 | 1,648 | 1,648 | CONTRIBUTOR | null | # What does this PR do?
<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
Then, please replace this w... | {
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"Hi @Sorrow321 -- this structure is convenient for multiple reasons, including ensuring a given import doesn't fail because you imported something that you are not planning to use, but that has a missing dependency.\r\n\r\nI had the same problem, VS Code is a bit silly here. Go to your VS Code settings, search for ... | 1,648 | 1,648 | 1,648 | CONTRIBUTOR | null | It's not the bug of the library itself, but is it some kind of glitch that happens because of the design of the package.
The problem is when you use VS Code as an editor for your development and try to go to definion of some model, it routes you to wrong file. For example:
```
from transformers import SwinForImageCl... | {
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"All tests pass locally after running `RUN_SLOW=1 py.test -vv tests/[model_name]/test_modeling_tf_[model_name].py`....Output of running tests \r\n```\r\ntests/lxmert/test_modeling_tf_lxmert.py::TFLxmertModelTest::test_attention_outputs PASSED ... | 1,648 | 1,648 | 1,648 | CONTRIBUTOR | null | # What does this PR do?
This PR changes the unpacking of the inputs of TF `lxmert` model to use the decorator instead.
See https://github.com/huggingface/transformers/issues/16051
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [... | {
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https://api.github.com/repos/huggingface/transformers/issues/16392 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16392/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16392/comments | https://api.github.com/repos/huggingface/transformers/issues/16392/events | https://github.com/huggingface/transformers/pull/16392 | 1,179,708,669 | PR_kwDOCUB6oc409hp- | 16,392 | Fix readme links and add CI check | {
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"CI failure has been fixed on master, so merging :-) "
] | 1,648 | 1,648 | 1,648 | COLLABORATOR | null | # What does this PR do?
This PR fixes links that are broken in the main README or don't add the necessary "docs". It also make `check_utils` automatically treat those problems when a user runs `make fix-copies`, or error when the CI runs the repo consistency checks and there is a wrong doc links.
The mistakes fix... | {
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"Hey @skpig, I think the model `fnlp/bart-base-chinese` is broken sadly. We would need to ping the author here to notify her/him. Soon this will be able on the Hub :heart: cc @julien-c ",
"Thanks for your reply @patrickvonplaten ."
] | 1,648 | 1,649 | 1,648 | CONTRIBUTOR | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version:4.17.0
- Platform:Linux-4.15.0-142-generic-x86_64-with-debian-buster-sid
- Python version:3.6.6
- PyTorch ver... | {
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https://api.github.com/repos/huggingface/transformers/issues/16389 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16389/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16389/comments | https://api.github.com/repos/huggingface/transformers/issues/16389/events | https://github.com/huggingface/transformers/pull/16389 | 1,179,622,006 | PR_kwDOCUB6oc409PWS | 16,389 | Added type hints | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,648 | 1,648 | 1,648 | CONTRIBUTOR | null | # What does this PR do?
Added type hints as requested in #16059.
@Rocketknight1 | {
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"I'm not sure this is the only thing that would require some changes, but I'm happy to review a PR.",
"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 follo... | 1,648 | 1,651 | 1,651 | CONTRIBUTOR | null | Trainer documentation suggests to override `get_train_dataloader` for custom behaviour.
However, the `train` method does not respect this.
It directly goes back to `train_dataset`
```
train_dataset_is_sized = has_length(self.train_dataset)
```
And then it gets `num_examples` from `train_dataloader`, rather t... | {
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Fix
```
ImportError: cannot import name 'json' from 'itsdangerous'
```
due to the flask/itsdangerous versions issue, when we run `pytest`. | {
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https://api.github.com/repos/huggingface/transformers/issues/16386 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16386/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16386/comments | https://api.github.com/repos/huggingface/transformers/issues/16386/events | https://github.com/huggingface/transformers/pull/16386 | 1,179,579,903 | PR_kwDOCUB6oc409GYR | 16,386 | Replaced usage of input_processing with unpack_input decorator | {
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"Output after running tests \r\ntests/lxmert/test_modeling_tf_lxmert.py::TFLxmertModelTest::test_attention_outputs PASSED [ 2%]\r\ntests/lxmert/test_modeling_tf_lxmert.py::TFLxmertModelTest::t... | 1,648 | 1,648 | 1,648 | CONTRIBUTOR | null | # What does this PR do?
This PR changes the unpacking of the inputs of TF `lxmert` model to use the `unpack_inputs` decorator instead.
See https://github.com/huggingface/transformers/issues/16051
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's... | {
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"Hello, thanks for opening an issue! We try to keep the github issues for bugs/feature requests.\r\nCould you ask your question on the [forum](https://discuss.huggingface.co) instead?\r\n\r\nThanks!",
"Got it!"
] | 1,648 | 1,648 | 1,648 | NONE | null | Using the ```TFBertForQuestionAnswering.from_pretrained()``` function, we get a predefined head on top of BERT together with a loss function that are suitable for this task.
My question is how to create a custom head without relying on ```TFAutoModelForQuestionAnswering.from_pretrained()```.
I want to do this b... | {
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https://api.github.com/repos/huggingface/transformers/issues/16384 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16384/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16384/comments | https://api.github.com/repos/huggingface/transformers/issues/16384/events | https://github.com/huggingface/transformers/pull/16384 | 1,179,533,802 | PR_kwDOCUB6oc4088fS | 16,384 | variable naming for Distilbert model | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Awesome 🚀 Can you confirm that the tests have passed locally? :)",
"Nvm, reread your comment! Merging 👍 "
] | 1,648 | 1,650 | 1,648 | CONTRIBUTOR | null | # What does this PR do?
As part of #16051 this PR changes the unpacking of the inputs of TF Distilbert model to use the decorator instead.
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https://api.github.com/repos/huggingface/transformers/issues/16383 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16383/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16383/comments | https://api.github.com/repos/huggingface/transformers/issues/16383/events | https://github.com/huggingface/transformers/issues/16383 | 1,179,516,318 | I_kwDOCUB6oc5GTf2e | 16,383 | AST: Audio Spectrogram Transformer | {
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"Hi Patrick,\r\n\r\nThanks so much to bring this up. I'd love to add AST to Huggingface. \r\n\r\nI am checking https://github.com/huggingface/transformers/tree/main/templates/adding_a_new_model for how to do that, is that the right tutorial I should read? \r\n\r\nI also have a quick question: the AST model is built... | 1,648 | 1,669 | 1,669 | MEMBER | null | # 🌟 New model addition
## Model description
In the past decade, convolutional neural networks (CNNs)
have been widely adopted as the main building block for endto-end audio classification models, which aim to learn a direct
mapping from audio spectrograms to corresponding labels. To
better capture long-range ... | {
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https://api.github.com/repos/huggingface/transformers/issues/16382 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16382/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16382/comments | https://api.github.com/repos/huggingface/transformers/issues/16382/events | https://github.com/huggingface/transformers/issues/16382 | 1,179,261,482 | I_kwDOCUB6oc5GShoq | 16,382 | Cache the files in get_fast_tokenizer_file() | {
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"Hello, thanks for opening an issue! This should be fixed by https://github.com/huggingface/transformers/pull/16362 which should drop in the next release.",
"Closing for now, feel free to reopen if it doesn't solve your issue."
] | 1,648 | 1,648 | 1,648 | NONE | null | # 🚀 Feature request
`transformers.BertTokenizer.from_pretrained()` calls `get_fast_tokenizer_file()` which downloads a file from the HuggingFace server but never adds it to the cache.
Would be useful to cache that file (in the same folder as the models) to make CI runs more robust.
## Motivation
Try to avo... | {
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https://api.github.com/repos/huggingface/transformers/issues/16381 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16381/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16381/comments | https://api.github.com/repos/huggingface/transformers/issues/16381/events | https://github.com/huggingface/transformers/issues/16381 | 1,179,252,390 | I_kwDOCUB6oc5GSfam | 16,381 | run_mlm_wwm.py if set(load_result.missing_keys) == set(self.model._keys_to_ignore_on_save): TypeError: 'NoneType' object is not iterable | {
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"I don't think this script works for any other model than BERT as it relies on assumptions that the subwords token have the prefix ##.",
"transformers=4.5.0",
"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 o... | 1,648 | 1,652 | 1,652 | NONE | null | ## Environment info
- `transformers` version: 4.7.0
- Platform: linux
- Python version: 3.9.7
- PyTorch version (GPU?): 1.10.2 (cu111)
- Tensorflow version (GPU?): no
- Using GPU in script?: yes
- Using distributed or parallel set-up in script?: no
### Who can help
Models:
- roberta@LysandreJik
L... | {
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https://api.github.com/repos/huggingface/transformers/issues/16380 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16380/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16380/comments | https://api.github.com/repos/huggingface/transformers/issues/16380/events | https://github.com/huggingface/transformers/issues/16380 | 1,179,161,317 | I_kwDOCUB6oc5GSJLl | 16,380 | Why the lengthy max_length in Dataset effect the performance of T5 ? | {
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"@SinclairCoder ,\r\n\r\nHi, `max_length` affects how many tokens are generated by the model, and even if padding an so on shouldn't apply (I haven't even looked at but it shouldn't).\r\n\r\nHowever, compute is `O(n²)` in `seq_length`, so if your generation is generating much larger sequences, then it's normal that... | 1,648 | 1,655 | 1,655 | NONE | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: 4.12.5
- Platform: Linux-4.15.0-172-generic-x86_64-with-debian-buster-sid
- Python version: 3.7.11
- PyTorch... | {
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https://api.github.com/repos/huggingface/transformers/issues/16379 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16379/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16379/comments | https://api.github.com/repos/huggingface/transformers/issues/16379/events | https://github.com/huggingface/transformers/issues/16379 | 1,178,864,516 | I_kwDOCUB6oc5GRAuE | 16,379 | when I using pytorch to load "distilbert-base-uncased", it's get an error:"HTTPError: 500 Server Error: Internal Server Error for url: https://huggingface.co/distilbert-base-uncased/resolve/main/vocab.txt". But load other models can't get this error. | {
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"To see #16351 ",
"> To see #16351\r\n\r\nthank you",
"Closing this for now 🙏 "
] | 1,648 | 1,648 | 1,648 | NONE | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version:
- Platform:
- Python version:
- PyTorch version (GPU?):
- Tensorflow version (GPU?):
- Using GPU in script... | {
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https://api.github.com/repos/huggingface/transformers/issues/16378 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16378/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16378/comments | https://api.github.com/repos/huggingface/transformers/issues/16378/events | https://github.com/huggingface/transformers/issues/16378 | 1,178,775,692 | I_kwDOCUB6oc5GQrCM | 16,378 | Can't seem to run GPT-J in CPU mode: "LayerNormKernelImpl" not implemented for 'Half' | {
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"Hey @monsieurpooh , this is because the model was saved in `fp16` as you can see here https://huggingface.co/KoboldAI/GPT-J-6B-Adventure/blob/main/config.json#L34\r\n\r\nYou can pass the `torch_dtype` argument to `from_pretrained`, to convert it to fp32 for CPU.\r\n\r\n```python\r\nmodel = GPTJForCausalLM.from_pre... | 1,648 | 1,658 | 1,648 | NONE | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: 4.15.0
- Platform: Windows-10-10.0.19041-SP0
- Python version: 3.8.5
- PyTorch version (GPU?): 1.10.2+cu113 ... | {
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https://api.github.com/repos/huggingface/transformers/issues/16377 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16377/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16377/comments | https://api.github.com/repos/huggingface/transformers/issues/16377/events | https://github.com/huggingface/transformers/pull/16377 | 1,178,760,532 | PR_kwDOCUB6oc406mfj | 16,377 | Add type hints for ConvBert model | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,648 | 1,648 | 1,648 | CONTRIBUTOR | null | # What does this PR do?
Adding type hints for ConvBert’s PyTorch and TensorFlow flavored models as requested in #16059.
@Rocketknight1 | {
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https://api.github.com/repos/huggingface/transformers/issues/16376 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16376/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16376/comments | https://api.github.com/repos/huggingface/transformers/issues/16376/events | https://github.com/huggingface/transformers/pull/16376 | 1,178,758,704 | PR_kwDOCUB6oc406mGq | 16,376 | Type hints and decorator for TF T5 | {
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"Thanks for this, the PR looks perfect to me! I see XLA generation tests failing, though - @gante could this be another situation like GPT-2 with some weird input names that are exposed by the decorator?",
"_The documentation is not available anymore as the PR was closed or merged._",
"@gante I think some of th... | 1,648 | 1,648 | 1,648 | CONTRIBUTOR | null | @Rocketknight1 @gante | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,648 | 1,648 | 1,648 | MEMBER | null | For a few versions already, `huggingface_hub` has added the `hf_hub_download` method which encompasses both `cached_download` and `hf_hub_url`. | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"\r\n"
] | 1,648 | 1,649 | 1,649 | MEMBER | null | # What does this PR do?
As discussed in the original TF generate refactor plan (https://github.com/huggingface/transformers/pull/15562), adds `beam_search`.
This Beam Search implementation was inspired by our FLAX implementation, which is XLA-friendly. However, this PR is not yet XLA-ready (😭). To pass existing... | {
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https://api.github.com/repos/huggingface/transformers/issues/16373 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16373/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16373/comments | https://api.github.com/repos/huggingface/transformers/issues/16373/events | https://github.com/huggingface/transformers/issues/16373 | 1,178,675,075 | I_kwDOCUB6oc5GQSeD | 16,373 | Is there a way to filter models by task and group the results? | {
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"cc @muellerzr :)",
"Hi @alvations! You can do this via the `huggingface_hub` actually, as it's designed to talk with huggingface.co/models, datasets, etc.\r\n\r\nHere's a slightly faster way to do what you want:\r\n```python\r\nfrom huggingface_hub import HfApi, ModelFilter\r\n\r\nfilt = ModelFilter(author=\"Hel... | 1,648 | 1,651 | 1,651 | NONE | null | # 🚀 Feature request
Is there a way to filter groups of models by task? Is it possible to add these tags/filters to https://huggingface.co/models
E.g. if I use the `translation` tag, multiple `Helsinki-NLP` models appeared and I had to programmatically do this to find out all the possible arcs:
```python
for ... | {
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https://api.github.com/repos/huggingface/transformers/issues/16372 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16372/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16372/comments | https://api.github.com/repos/huggingface/transformers/issues/16372/events | https://github.com/huggingface/transformers/issues/16372 | 1,178,603,225 | I_kwDOCUB6oc5GQA7Z | 16,372 | Infer padding in GPT2ForSequenceClassification when inputs_embeds and attention_mask are given | {
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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... | 1,648 | 1,651 | 1,651 | CONTRIBUTOR | null | # 🚀 Feature request
Infer padding in `GPT2ForSequenceClassification` when `inputs_embeds` and `attention_mask` are given
## Motivation
When `config.pad_token_id is not None` and `inputs_embeds` are passed instead of `input_ids`, the forward method of `GPT2ForSequenceClassification` raises a warning telling th... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Hi @sgugger, I removed bunch of unused imports since it's guaranteed that process group will be initialized by `training_args_sm.py`.\r\n\r\nCould you give some pointers on how to fix CI errors?\r\n\r\n`F401 'smdistributed.dataparall... | 1,648 | 1,648 | 1,648 | CONTRIBUTOR | null | 1. Update SMDDP APIs to v1.4.0
2. Use vanilla PyTorch dist module and DDP class
3. replace `dist.get_local_rank()` with env var query as PyTorch does not have this API.
fixes https://github.com/huggingface/transformers/issues/16313 | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@patrickvonplaten I uploaded the TF checkpoints and removed `from_pt`.\r\n\r\n~~I will need to check and apply Sylvain's suggestion in your PR to finalize this PR.~~\r\n\r\nReady for review :-)"
] | 1,648 | 1,651 | 1,648 | COLLABORATOR | null | # What does this PR do?
Similar to #16363, but for TF
I made sure the doctests run without failure, but 2 models currently use `from_pt=True` --> need to convert and upload the TF ckpts.
@patrickvonplaten | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,648 | 1,648 | 1,648 | MEMBER | null | This PR wraps up the IA migration:
- Created a Conceptual Guide section and migrated docs that are explanatory.
- Created a separate page in Conceptual Guides for this [section](https://huggingface.co/docs/transformers/main/en/preprocessing#everything-you-always-wanted-to-know-about-padding-and-truncation) about pa... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thanks for fixing!"
] | 1,648 | 1,648 | 1,648 | CONTRIBUTOR | null | # What does this PR do?
The eval delay is a feature that allows a user to specify the number of steps/epochs to wait before the first evaluation can take place. This fixes a bug where the opposite behavior occurs - evaluation stops after eval_delay!
Fixes #16365
## Before submitting
- [x] This PR fixes a ty... | {
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"Hi, @abdouaziz\r\n\r\nSince `Flaubert` is not to be changed, and I guess you won't work on `CamemBERT` neither (right?), the changes in those 2 files have to be reverted to its original version :-) Thank you.",
"It also looks like you local clone and working branch doesn't have the recent update of HF `transform... | 1,648 | 1,648 | 1,648 | NONE | null | # What does this PR do?
adds FLUABERT to doc tests
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"@Narsil ",
"Here are related links on this Request:\r\n[Huggingface Discuss](https://discuss.huggingface.co/t/demand-on-text-regression-pipeline-application/15935)\r\n[Huggingface Doc](https://github.com/huggingface/hub-docs/issues/65)",
"Tagging @ricardorei, the 1st author and main developer of [COMET](https:... | 1,648 | 1,661 | 1,655 | NONE | null | # 🚀 Feature request
<!-- A clear and concise description of the feature proposal.
Please provide a link to the paper and code in case they exist. -->
The Text Regression task aims at delivering scalar output for each input sequence, which is widely used in NLP applications.
In my own use, I'm working on... | {
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@sgugger
## Information
The signs for the `eval_delay` comparisons need to be switched. This is pretty NB @sgugger as there are a lot of breakages involved here.
Greater than sign must be changed to less than sign [here](https://github.com/huggingface/transformers/blob/main/src/transformers/t... | {
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https://api.github.com/repos/huggingface/transformers/issues/16364 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/16364/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/16364/comments | https://api.github.com/repos/huggingface/transformers/issues/16364/events | https://github.com/huggingface/transformers/issues/16364 | 1,178,382,856 | I_kwDOCUB6oc5GPLII | 16,364 | question about the the specific text generation question | {
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"Hello, thanks for opening an issue! We try to keep the github issues for bugs/feature requests.\r\nCould you ask your question on the [forum](https://discuss.huggingface.co) instead?\r\n\r\nThanks!"
] | 1,648 | 1,648 | 1,648 | NONE | null | Hello, i am a tiro in transformers, and i have a question.
if i want to use serval concepts like: I question english ,and i want to the output like this: i have a english question, or i have a question rather than english question.
Does any project in the hub can handle this? If not ,can you give me some useful advi... | {
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