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https://api.github.com/repos/huggingface/transformers/issues/14656 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14656/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14656/comments | https://api.github.com/repos/huggingface/transformers/issues/14656/events | https://github.com/huggingface/transformers/pull/14656 | 1,072,870,251 | PR_kwDOCUB6oc4veb4U | 14,656 | [t5/t0/mt5 models] faster/leaner custom layer norm | {
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"Thanks for diving into it! Alongside Sylvain's comments, this LGTM, ",
"@patil-suraj, thank you for addressing my questions.\r\n\r\nI suppose we then should replicate the doc snippet to all t5-based models, right? I'm thinking of adding a new Performance section - not sure if it's better to have it before the cl... | 1,638 | 1,644 | 1,644 | CONTRIBUTOR | null | This PR dynamically replaces `T5LayerNorm` with `apex.normalization.FusedRMSNorm` when the latter is available (it was just [merged into `apex@master`](https://github.com/NVIDIA/apex/pull/1274)). This is similar to how we used to replace the slower at that time `torch.nn.LayerNorm` with `apex.normalization.FusedLayerNo... | {
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"You need to follow this format for the ColabDropdown to appear:\r\nhttps://github.com/huggingface/doc-builder/blame/92bc1f3833fc825bd772455df17505d1f322ee88/build/transformers/master/en/quicktour.mdx#L43-L51\r\n1. Put `ColabDropdown` svelte component after the title\r\n2. And change `options` attribute\r\n\r\nAlso... | 1,638 | 1,638 | 1,638 | COLLABORATOR | null | # What does this PR do?
This PR converts the rst files in the documentation that currently have a corresponding notebook to Markdown so I can then work on updating the script that auto-generates the notebooks form the documentation. | {
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"Other related PR maybe : https://github.com/huggingface/transformers/issues/14921",
"Thanks a lot for your feedback here guys and sorry to only pick up the PR again.\r\n\r\n@Narsil @felix-schneider,\r\n\r\nI see that you guys would like to make it easier for the user to directly get the transition probabilities ... | 1,638 | 1,659 | 1,643 | MEMBER | 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.
Then, please replace this w... | {
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"Maybe @stas00 has encountered this error in the past",
"Since you were using PL, you probably want to ask that question on their Issues, since I don't know how they did the Deepspeed integration.\r\n\r\ni.e. this question is unrelated to `transformers`"
] | 1,638 | 1,638 | 1,638 | NONE | null | Converting deepspeed_zero_stage_2 to fp32 misses some parameters. I was finetuning bart-large using deepspeed_stage_2. I converted to fp32 checkpoints(using zero_to_fp32.py) and got a .bin file.
When I try to load this model using model.load_state_dict(path_to_bin_file) I get the following keys missing error.
"mode... | {
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There is a problem with resuming from a checkpoint after deepspeed engine was used https://github.com/microsoft/DeepSpeed/issues/1394 - I made a new Issue there to stress out that this is a problem... | {
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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/master/CONTRIBUTING.md)... | 1,638 | 1,642 | 1,642 | NONE | null | Transformers version: 4.12.5
model: Transformer-XL / transfo_xl
url: https://github.com/huggingface/transformers/blob/master/src/transformers/models/transfo_xl/modeling_transfo_xl.py#L1011
issue:
In the docstring it is specified that: All labels set to ``-100`` are ignored (masked).
However when passed to the mod... | {
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https://api.github.com/repos/huggingface/transformers/issues/14650 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14650/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14650/comments | https://api.github.com/repos/huggingface/transformers/issues/14650/events | https://github.com/huggingface/transformers/issues/14650 | 1,072,628,489 | I_kwDOCUB6oc4_7wMJ | 14,650 | Make `CLIPFeatureExtractor` accept batch of images as `torch.Tensor`. | {
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"@fcakyon, why was I mentioned here? The only time I edited this file was to add a missing space in an error message.",
"My apologies @aphedges. Saw your name on PR.",
"Thanks for the issue!\r\n\r\nSince a batch of images is a very common input I think we should support this. Pinging @NielsRogge, @sgugger \r\n\... | 1,638 | 1,674 | 1,674 | CONTRIBUTOR | null | # 🚀 Feature request
Make `CLIPFeatureExtractor` (or any FeatureExtractor in general) accept batch of images as `torch.Tensor`.
## Motivation
Currently batch of images as `torch.Tensor` are not treated as a batch, it has to be a `List[torch.Tensor]` but it is not the case when using native Pytorch DataLoader. ... | {
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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/master/CONTRIBUTING.md)... | 1,638 | 1,650 | 1,642 | NONE | null | Hello,
I am able to finetune T5 on paraphrasing task ... and the results are quite good. So for example when i train modelA on dataA and modelB on DataB, the produce different results, but then i train modelC and prefixA + Data A plus PrefixB + dataB the results with PrefixA and PrefixB are almost the same.
What ... | {
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<!-- 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: 4.13.0.dev0
- Platform: macOS-10.16-x86_64-i386-64bit
- Python version: 3.9.1
- PyTorch version (GPU?): 1.10... | {
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"Hi,\r\n\r\nGoogling \"reproducibility Huggingface trainer\" returns this helpful post on our forum: https://discuss.huggingface.co/t/fixing-the-random-seed-in-the-trainer-does-not-produce-the-same-results-across-runs/3442",
"Hi Niels!\r\n\r\nThanks for your swift response! I've seen the post, but it seemed peopl... | 1,638 | 1,642 | 1,642 | NONE | null | Hi,
I am trying to fine-tune a model using PyTorch backend and Trainer class, but when I train 2 times with exactly the same parameters, I still get different results. I have supplied the seed and also used PyTorch-specific commands:
```py
torch.use_deterministic_algorithms(True)
torch.backends.cudnn.benchmark = Fa... | {
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This PR
- Make `tensorboard` optional in flax qa and glue script to remove dependency on `tf`.
- Update the `test_fetcher.py` for flax examples
- Mark all except one flax example test as slow, since these tests are taking a lot of time. | {
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"The caching only gets us one minute back in the setup :-(\r\nOnce the dummies have the docstrings of their real counterpart, we can stop installing all dependencies and have better timing though!"
] | 1,638 | 1,638 | 1,638 | COLLABORATOR | null | # What does this PR do?
This PR adds a GitHub action to test the documentation build. While we will in the future have something to check the built documentation, it's important to test right now that there is no failure in the build at least, even if we can't see the result. | {
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"LGTM, thanks for the ping"
] | 1,638 | 1,638 | 1,638 | COLLABORATOR | null | # What does this PR do?
This PR fixes the documentation links made of the form :obj:`~transformers.ObjectName`. Those are not detected by `doc-builder` (and can't really be added since we use `:obj:` very often) so I searched and fixed the docstrings instead.
See the [TextClassificationPipeline](https://huggingfa... | {
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The `conftest.py` was missing from the flax examples directory. so the flax example tests are failing on master.
(cf [here](https://app.circleci.com/pipelines/github/huggingface/transformers/30924/workflows/7c0b3b8b-d664-4dc2-9c7e-69520347f0d5/jobs/317301))
This PR adds the `conftest.py` ... | {
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"Hey, I'd love to work on this!",
"Sounds good @itsTurner, feel free to open a PR :)",
"@itsTurner Are you still working on this issue?. If not then I would love to contribute to this issue. ",
"Feel free to open per-model PRs so that you may both contribute at the same time! (and so can other members of the ... | 1,638 | 1,675 | 1,675 | CONTRIBUTOR | null | Each model in the Transformers library has one or more corresponding integration tests, which make sure the implementation in Transformers returns the same exact logits/hidden states as the original implementation on the same input data.
e.g. the integration test for the Vision Transformer (ViT) can be found [here](... | {
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# What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/14640 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14640/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14640/comments | https://api.github.com/repos/huggingface/transformers/issues/14640/events | https://github.com/huggingface/transformers/pull/14640 | 1,072,230,944 | PR_kwDOCUB6oc4vcURq | 14,640 | Add mLUKE | {
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"It looks like there a quite a few failures in the Luke tests. You can see them locally with:\r\n```\r\npytest tests/test_modeling_luke.py\r\n```\r\nfrom the root repo.",
"Thanks, I’ve fixed that.\r\nI still see some tests failed in CI (`run_tests_tf`), but I guess it is not from the changes in this PR?",
"Yes,... | 1,638 | 1,638 | 1,638 | CONTRIBUTOR | null | # What does this PR do?
Reopen the following PR:
https://github.com/huggingface/transformers/pull/14570
I have reflected the comments in the previous PR (add `# Copied from ...` comments, replace `assert` with `ValueError`).
I have also added few tests to make sure `LukeTokenizer` and `MLukeTokenizer` correctly... | {
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"Update: The original author found that the [same error also occurs on non SBERT-related activity](https://github.com/UKPLab/sentence-transformers/issues/1297#issuecomment-986724370), suggesting that it is indeed an issue on the model hub directly.\r\n\r\nThanks in advance for timely investigation and fix, as I ass... | 1,638 | 1,638 | 1,638 | NONE | null | Cross-posting from https://github.com/UKPLab/sentence-transformers/issues/1297 as I'm not sure if this is an issue with the `SentenceTransformers` library or with the model hub directly.
Similar to the author of the linked post, we are also running into this both locally and from CI, so it doesn't seem to be one par... | {
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https://api.github.com/repos/huggingface/transformers/issues/14638 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14638/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14638/comments | https://api.github.com/repos/huggingface/transformers/issues/14638/events | https://github.com/huggingface/transformers/issues/14638 | 1,071,814,407 | I_kwDOCUB6oc4_4pcH | 14,638 | Gradient accumulation causing different training curves | {
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"Theoretically speaking, it is expected because each configuration \"differently\" feed the gradients. Though is also expected that they converge to a common point.",
"What do you mean by they differently feed the gradients? Calculating the loss based on 32 examples and then another 32 examples and then calculati... | 1,638 | 1,641 | 1,641 | CONTRIBUTOR | null | For a pretraining experiment using the built-in `Trainer`, setting batch size 32 x 16 accumulation steps seems to yield a different training loss curve from 64 x 8. Even though they converge to approximately the same value, shouldn't the curves be exactly the same? What would cause the difference?
![image](https://use... | {
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This PR adds flax examples tests in CI workflow. | {
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"@patrickvonplaten I've run the flax examples tests and made sure that they pass with this PR. Merging this now.\r\nFeel free to leave comments if you see something strange :) ",
"Awesome - thanks @patil-suraj "
] | 1,638 | 1,639 | 1,639 | MEMBER | null | # What does this PR do?
Remove dependency on PyTorch `TrainingArguments` class in flax examples.
Fixes #13721 | {
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https://api.github.com/repos/huggingface/transformers/issues/14634 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14634/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14634/comments | https://api.github.com/repos/huggingface/transformers/issues/14634/events | https://github.com/huggingface/transformers/pull/14634 | 1,071,636,890 | PR_kwDOCUB6oc4vaW5b | 14,634 | [WIP] Add Nystromformer | {
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This PR adds the Nystromformer transformer model to the repository.
Paper: [https://arxiv.org/abs/2102.03902](https://arxiv.org/abs/2102.03902)
Code: [https://github.com/mlpen/Nystromformer](https://github.com/mlpen/Nystromformer)
Checkpoint: [Nystromformer sequence length 512](https://w... | {
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https://api.github.com/repos/huggingface/transformers/issues/14633 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14633/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14633/comments | https://api.github.com/repos/huggingface/transformers/issues/14633/events | https://github.com/huggingface/transformers/issues/14633 | 1,071,578,658 | I_kwDOCUB6oc4_3v4i | 14,633 | Dynamic Inputs for fx traced GPTNeoLM | {
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"cc @michaelbenayoun ",
"Hi @sdtblck ,\r\nThe issue with dynamic inputs is not related to the `past_key_values` but to dynamic control-flow in the model forward pass implementation. The PR #14321, that I plan to merge at some point (hopefully before the end of the year) solves this kind of issues for the supporte... | 1,638 | 1,642 | 1,642 | NONE | null | # 🚀 Feature request
I've been looking a little into using torch.fx + HF lately, and run into a problem that the traced GPTNeoLM can't take dynamic inputs - would love to know what work would be needed to enable that, and what the current blockers are - it would be great to be able to use the traced module for infer... | {
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https://api.github.com/repos/huggingface/transformers/issues/14632 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14632/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14632/comments | https://api.github.com/repos/huggingface/transformers/issues/14632/events | https://github.com/huggingface/transformers/issues/14632 | 1,071,561,469 | I_kwDOCUB6oc4_3rr9 | 14,632 | to use FX - your torch version must be *exactly* 1.9, even though fx also works in later versions | {
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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/master/CONTRIBUTING.md)... | 1,638 | 1,644 | 1,644 | NONE | null | [this line](https://github.com/huggingface/transformers/blob/3977b58437b8ce1ea1da6e31747d888efec2419b/src/transformers/file_utils.py#L375) checks that the torch version matches 1.9 exactly, even though fx is available in 1.9+ (i.e torch 1.10).
To use it in torch 1.10, i had to do the following, and the symbolic trac... | {
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https://api.github.com/repos/huggingface/transformers/issues/14631 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14631/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14631/comments | https://api.github.com/repos/huggingface/transformers/issues/14631/events | https://github.com/huggingface/transformers/issues/14631 | 1,071,559,236 | I_kwDOCUB6oc4_3rJE | 14,631 | Add Sliding Window to TokenClassificationPipeline | {
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"Hi @cascadianblue, \r\n\r\nThis could be an interesting option to add. \r\nIMHO:\r\n- This should be opt-in, since at the boundaries, you might still get issues if the entities are across your split. FYI, for question answering we use a stride argument to have an overlap on the chunks and give opportunity to the m... | 1,638 | 1,682 | 1,642 | CONTRIBUTOR | null | # 🚀 Feature request
The current [implementation of TokenClassificationPipeline](https://github.com/huggingface/transformers/blob/3977b58437b8ce1ea1da6e31747d888efec2419b/src/transformers/pipelines/token_classification.py#L82) cannot do anything with text input beyond the length (measured in tokens) allowed by the m... | {
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https://api.github.com/repos/huggingface/transformers/issues/14630 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14630/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14630/comments | https://api.github.com/repos/huggingface/transformers/issues/14630/events | https://github.com/huggingface/transformers/issues/14630 | 1,071,532,636 | I_kwDOCUB6oc4_3kpc | 14,630 | bert-base-uncased weights for BertForPreTraining | {
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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/master/CONTRIBUTING.md)... | 1,638 | 1,642 | 1,642 | CONTRIBUTOR | null | Hi,
According to the model card: https://huggingface.co/bert-base-uncased , these weights are obtained by training on two objectives (MLM and NSP) but the `config.json` has only the `BertForMaskedLM` tag. So when initializing `BertForPreTraining` model with `bert-base-uncased` weights, the following warning is print... | {
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https://api.github.com/repos/huggingface/transformers/issues/14629 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14629/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14629/comments | https://api.github.com/repos/huggingface/transformers/issues/14629/events | https://github.com/huggingface/transformers/issues/14629 | 1,071,450,717 | I_kwDOCUB6oc4_3Qpd | 14,629 | GPT-NeoX checkpoint conversion? | {
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"This is something we're working on at eleuther in preparation for an upcoming release, and already have some working code for specific configurations, but for other configurations it breaks.\r\n\r\nIf it would be useful to HF, we can post up the code :) ",
"@sdtblck This sounds really useful and I'd like to take... | 1,638 | 1,643 | 1,641 | NONE | null | I found that there are conversion from gpt-neo and gpt-J to transformers. I wonder if the checkpoints trained using gpt-neox https://github.com/EleutherAI/gpt-neox could be loaded inside transformers? I think it's the same architecture as GPT-neo but I could be wrong. Thanks! | {
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https://api.github.com/repos/huggingface/transformers/issues/14628 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14628/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14628/comments | https://api.github.com/repos/huggingface/transformers/issues/14628/events | https://github.com/huggingface/transformers/issues/14628 | 1,071,416,378 | I_kwDOCUB6oc4_3IQ6 | 14,628 | load_best_model_at_end failed due to "size mismatch" when DeepSpeed is used | {
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"cc @stas00 ",
"Thank you for this report, @dunalduck0 - I didn't have this \"path\" tested (or ever used it). I can reproduce the problem with a much faster:\r\n\r\n```\r\nrm -r output_dir; PYTHONPATH=src USE_TF=0 CUDA_VISIBLE_DEVICES=0 deepspeed --num_gpus=1 examples/pytorch/translation/run_translation.py --mod... | 1,638 | 1,638 | 1,638 | NONE | null | ## Environment info
- `transformers` version: 4.13.0.dev0
- Platform: Linux-5.4.0-91-generic-x86_64-with-glibc2.17
- Python version: 3.8.10
- PyTorch version (GPU?): 1.10.0+cu113 (True)
- Tensorflow version (GPU?): 2.7.0 (False)
- Flax version (CPU?/GPU?/TPU?): 0.3.6 (cpu)
- Jax version: 0.2.25
- JaxLib ver... | {
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https://api.github.com/repos/huggingface/transformers/issues/14627 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14627/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14627/comments | https://api.github.com/repos/huggingface/transformers/issues/14627/events | https://github.com/huggingface/transformers/issues/14627 | 1,071,398,972 | I_kwDOCUB6oc4_3EA8 | 14,627 | How to separate multiturn dialog context in blenderbot? | {
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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/master/CONTRIBUTING.md)... | 1,638 | 1,641 | 1,641 | NONE | null | Hello. I want to perform multiturn dialog with blenderbot model. I followed the [documentation](https://huggingface.co/docs/transformers/master/en/model_doc/blenderbot#transformers.BlenderbotForConditionalGeneration) and here's the code:
```
chat_history = []
uttr_sep = '</s> <s>'
while(True):
UTTR_input = i... | {
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https://api.github.com/repos/huggingface/transformers/issues/14626 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14626/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14626/comments | https://api.github.com/repos/huggingface/transformers/issues/14626/events | https://github.com/huggingface/transformers/pull/14626 | 1,071,296,791 | PR_kwDOCUB6oc4vZUgU | 14,626 | fix a typo | {
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"@patil-suraj"
] | 1,638 | 1,638 | 1,638 | CONTRIBUTOR | null | # What does this PR do?
<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
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https://api.github.com/repos/huggingface/transformers/issues/14625 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14625/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14625/comments | https://api.github.com/repos/huggingface/transformers/issues/14625/events | https://github.com/huggingface/transformers/pull/14625 | 1,071,226,516 | PR_kwDOCUB6oc4vZHWh | 14,625 | Updated deberta attention | {
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"Thanks @guillaume-be!\r\n\r\nI'm worried that this would break models that have `p2p` as a `pos_att_type`. I think putting the following in the configuration initialisation would be safer:\r\n```py\r\nself.pos_att_type = pos_att_type if pos_att_type != \"p2p\" else \"p2c\" \r\n```\r\n\r\nOr something like this, st... | 1,638 | 1,640 | 1,640 | CONTRIBUTOR | null | # What does this PR do?
This PR simplifies the current DeBERTa implementation that handles an attention type that was eventually not implemented. It removes unused code, simplifies the model logic branching and avoids unnecessary calculations.
<!-- Remove if not applicable -->
Fixes https://github.com/huggingf... | {
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https://api.github.com/repos/huggingface/transformers/issues/14624 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14624/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14624/comments | https://api.github.com/repos/huggingface/transformers/issues/14624/events | https://github.com/huggingface/transformers/pull/14624 | 1,071,217,331 | PR_kwDOCUB6oc4vZFrj | 14,624 | updated pytorch token-classification readme | {
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Adds proper arguments to the readme.
<!--
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 con... | {
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https://api.github.com/repos/huggingface/transformers/issues/14623 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14623/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14623/comments | https://api.github.com/repos/huggingface/transformers/issues/14623/events | https://github.com/huggingface/transformers/pull/14623 | 1,071,172,900 | PR_kwDOCUB6oc4vY9p0 | 14,623 | Auto processor fix | {
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"I'm OOO on Monday/Tuesday so feel free to merge this so that it doesn't block Wednesday's release."
] | 1,638 | 1,638 | 1,638 | MEMBER | null | Reverts the `AutoProcessor` magic. | {
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https://api.github.com/repos/huggingface/transformers/issues/14622 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14622/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14622/comments | https://api.github.com/repos/huggingface/transformers/issues/14622/events | https://github.com/huggingface/transformers/issues/14622 | 1,071,165,069 | I_kwDOCUB6oc4_2K6N | 14,622 | [Quick poll] Give your opinion on the future of the Hugging Face Open Source ecosystem! | {
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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/master/CONTRIBUTING.md)... | 1,638 | 1,641 | 1,641 | MEMBER | null | Thanks to all of you, Transformers just passed 55k :star2: this week!
Since the last survey, we've expanded our efforts into vision and speech, and the community now actively contributes to the [model hub](https://hf.co/models) and [datasets hub](https://hf.co/datasets); so this survey isn't solely focused around `... | {
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https://api.github.com/repos/huggingface/transformers/issues/14621 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14621/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14621/comments | https://api.github.com/repos/huggingface/transformers/issues/14621/events | https://github.com/huggingface/transformers/issues/14621 | 1,071,160,134 | I_kwDOCUB6oc4_2JtG | 14,621 | DeBERTa `p2p` attention type is not used | {
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"Thanks for reporting! Pinging @BigBird01 for advice :)",
"Yes, P2P is not used actually. In our previous experiments, we run with P2P for ablation study and finally we didn't apply it due to the additional cost and marginal performance improvement. Please feel free to remove it."
] | 1,638 | 1,640 | 1,640 | CONTRIBUTOR | null | ### Who can help
DeBERTa: @LysandreJik
## Information
The current implementation of DeBERTa handles 3 types of attentions: `p2c`, `c2p` and `p2p` with complex branching handling the different types of attentions that may be provided by the user. It is my current understanding that the `p2p` attention currently d... | {
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https://api.github.com/repos/huggingface/transformers/issues/14620 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14620/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14620/comments | https://api.github.com/repos/huggingface/transformers/issues/14620/events | https://github.com/huggingface/transformers/pull/14620 | 1,071,029,662 | PR_kwDOCUB6oc4vYidN | 14,620 | Implement head_mask for Flax BERT and other models copied from BERT | {
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"Hi @patil-suraj, thank you a lot for the review. I commented on the issue with BigBird head-masking. As I mentioned, I tried to follow the current `PyTorch` implementation, and I'm definitely willing to have a look at handling head masking for different attention mechanisms.",
"I forgot to write this earlier, do... | 1,638 | 1,639 | 1,639 | CONTRIBUTOR | null | # What does this PR do?
This PR implements attention head masking for Flax BERT models, and other models copied from BERT, i.e. Roberta, BigBird, Electra. This PR thus narrows the gap between Flax and other implementations.
## Before submitting
- [x] Did you read the [contributor guideline](https://github.com/... | {
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https://api.github.com/repos/huggingface/transformers/issues/14619 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14619/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14619/comments | https://api.github.com/repos/huggingface/transformers/issues/14619/events | https://github.com/huggingface/transformers/issues/14619 | 1,070,982,674 | I_kwDOCUB6oc4_1eYS | 14,619 | Getting ambiguous messages for SummarizationPipeline | {
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"I tried to fix this in this PR #14618",
"Fixed in #14618 "
] | 1,638 | 1,638 | 1,638 | MEMBER | null | When working with the SummarizationPipeline I get errors every input of type
`Your max_length is set to 50, but you input_length is only 46. You might consider decreasing max_length manually, e.g. summarizer('...', max_length=50)` | {
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https://api.github.com/repos/huggingface/transformers/issues/14618 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14618/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14618/comments | https://api.github.com/repos/huggingface/transformers/issues/14618/events | https://github.com/huggingface/transformers/pull/14618 | 1,070,981,648 | PR_kwDOCUB6oc4vYZkO | 14,618 | quick fix SummarizationPipeline error messages | {
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"Pinging @Narsil and @patrickvonplaten ",
"Thanks for your contribution @NouamaneTazi :)\r\n\r\nYou have an error in your code quality; do you mind running the following commands at the root of your clone?\r\n```\r\npip install -e \".[quality\"]\r\nmake fixup\r\n```\r\n\r\nThis should fix most quality issues and ... | 1,638 | 1,638 | 1,638 | MEMBER | null | Fix error messages to avoid spam errors, and errors of type:
`Your max_length is set to 50, but you input_length is only 46. You might consider decreasing max_length manually, e.g. summarizer('...', max_length=50)` | {
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https://api.github.com/repos/huggingface/transformers/issues/14617 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14617/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14617/comments | https://api.github.com/repos/huggingface/transformers/issues/14617/events | https://github.com/huggingface/transformers/pull/14617 | 1,070,868,749 | PR_kwDOCUB6oc4vYCo7 | 14,617 | [urls to hub] Replace outdated model tags with their now-canonical pipeline types | {
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"also cc'ing @osanseviero for info before merging!"
] | 1,638 | 1,638 | 1,638 | MEMBER | null | > ### [Internal tracker 🌔 ](https://github.com/huggingface/moon-landing/pull/1558)
#### Context:
On the hub side, we are using the metadata generated by transformers (hat/tip @sgugger) to replace the pattern matching, BUT I'm also proposing to take this opportunity to remove the `lm-head`, `seq2seq`, `causal-lm`... | {
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https://api.github.com/repos/huggingface/transformers/issues/14616 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14616/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14616/comments | https://api.github.com/repos/huggingface/transformers/issues/14616/events | https://github.com/huggingface/transformers/pull/14616 | 1,070,787,785 | PR_kwDOCUB6oc4vXxnh | 14,616 | Fix doc builder | {
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"Passing! Updated and merging"
] | 1,638 | 1,638 | 1,638 | MEMBER | null | Hotfix to fix the doc-builder | {
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https://api.github.com/repos/huggingface/transformers/issues/14615 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14615/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14615/comments | https://api.github.com/repos/huggingface/transformers/issues/14615/events | https://github.com/huggingface/transformers/issues/14615 | 1,070,553,188 | I_kwDOCUB6oc4_z1hk | 14,615 | Bigger batch size decrease the throughput. | {
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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/master/CONTRIBUTING.md)... | 1,638 | 1,641 | 1,641 | CONTRIBUTOR | null | I'm training bert-base-uncased from scratch, single node, 8xA100, if increase the batch size, the throughput decrease, detail is:
- set batch size to 256, the throughput is 7000 sample/s, GPU Utilization rate 80%
- set batch size to 384(while full gpu memory), the throughput is 4000 sample/s, GPU Utilization rate 3... | {
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https://api.github.com/repos/huggingface/transformers/issues/14614 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14614/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14614/comments | https://api.github.com/repos/huggingface/transformers/issues/14614/events | https://github.com/huggingface/transformers/issues/14614 | 1,070,520,152 | I_kwDOCUB6oc4_ztdY | 14,614 | datasets doesn't support NSP? should I implement my custom DataCollator or function for dataset.map? | {
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"Pinging @sgugger ",
"Yes, you have to implement your own function for preprocessing the data.",
"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 t... | 1,638 | 1,644 | 1,644 | CONTRIBUTOR | null | As the title, I haven't find NSP dataset, there is only transformers.TextDatasetForNextSentencePrediction, but it's not work while loading data by `load_dataset(...)`.
So have I to implement my custom DataCollator or function for dataset.map? Which one is better?
Or I miss something? | {
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https://api.github.com/repos/huggingface/transformers/issues/14613 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14613/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14613/comments | https://api.github.com/repos/huggingface/transformers/issues/14613/events | https://github.com/huggingface/transformers/issues/14613 | 1,070,514,597 | I_kwDOCUB6oc4_zsGl | 14,613 | Running Pipeline batching code from documentation returns TypeError: _batch_encode_plus() got an unexpected keyword argument 'batch_size' on Colab. | {
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"Hello! Could you install from the `master` branch and give it another try?\r\n\r\n```py\r\npip uninstall transformers\r\npip install git+https://github.com/huggingface/transformers\r\n# Restart colab runtime\r\n```\r\n\r\nThe current documentation is `master` as we're trying out the new frontend; thanks for your u... | 1,638 | 1,641 | 1,638 | MEMBER | 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-5.4.104+-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.7.12
- PyTorch version... | {
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https://api.github.com/repos/huggingface/transformers/issues/14612 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14612/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14612/comments | https://api.github.com/repos/huggingface/transformers/issues/14612/events | https://github.com/huggingface/transformers/issues/14612 | 1,070,474,277 | I_kwDOCUB6oc4_ziQl | 14,612 | Scores returned by beam search are not useful | {
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"For anyone else looking for the same thing: I edited the original post to add some different ways to get the actual probabilities. I think the forward pass (the last option) is the only one guaranteed to be correct, but also the slowest.\r\n\r\nIt would be much easier if we just got this output out of beam search.... | 1,638 | 1,643 | 1,643 | NONE | null | ## Environment info
- `transformers` version: 4.12.3
- Platform: Linux-3.10.0-1160.45.1.el7.x86_64-x86_64-with-centos-7.9.2009-Core
- Python version: 3.7.11
- PyTorch version (GPU?): 1.9.0 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: ... | {
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https://api.github.com/repos/huggingface/transformers/issues/14611 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14611/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14611/comments | https://api.github.com/repos/huggingface/transformers/issues/14611/events | https://github.com/huggingface/transformers/issues/14611 | 1,070,454,982 | I_kwDOCUB6oc4_zdjG | 14,611 | Got extra_id_%d when generating texts, and %d is negative. | {
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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/master/CONTRIBUTING.md)... | 1,638 | 1,641 | 1,641 | NONE | null | Mission: Translate Graph to English.
In generation_utils.py _generate_beam_search()
After getting next_scores and next_tokens, i was tring to generate texts using the next_tokens with the second highest next_scores.
But i got ids which converts to be <extra_id_%d>, and %d is a negative number.
Anyone got some ide... | {
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https://api.github.com/repos/huggingface/transformers/issues/14610 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14610/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14610/comments | https://api.github.com/repos/huggingface/transformers/issues/14610/events | https://github.com/huggingface/transformers/pull/14610 | 1,070,448,104 | PR_kwDOCUB6oc4vWp7P | 14,610 | 2022 is the year of multi-modality | {
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"Thank you all for your contributions to the README!"
] | 1,638 | 1,638 | 1,638 | MEMBER | null | Long overdue update of the README | {
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https://api.github.com/repos/huggingface/transformers/issues/14609 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14609/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14609/comments | https://api.github.com/repos/huggingface/transformers/issues/14609/events | https://github.com/huggingface/transformers/issues/14609 | 1,070,306,600 | I_kwDOCUB6oc4_y5Uo | 14,609 | Unable to load mT5 with MT5Model.from_pretrained("google/mt5-small") | {
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"Hi @Xuanfang1121 !\r\n\r\nYou are loading `MT5Model` , which loads the base model without the `lm_head`, so when loading the pre-trained weights the `lm_head.weight` is ignored. \r\n\r\nIf you want to load the model for conditional generation training or inference then you should use the `MT5ForConditionalGenerati... | 1,638 | 1,639 | 1,639 | NONE | null | ## Environment info
- `transformers` version: 4.2.2
- Platform: win10
- Python version: 3.6
- PyTorch version (GPU?): pytorch==1.8.1
- Tensorflow version (GPU?):
- Using GPU in script?:
- Using distributed or parallel set-up in script?:
### Who can help
@LysandreJik@patrickvonplaten, @patil-suraj
## Infor... | {
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https://api.github.com/repos/huggingface/transformers/issues/14608 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14608/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14608/comments | https://api.github.com/repos/huggingface/transformers/issues/14608/events | https://github.com/huggingface/transformers/issues/14608 | 1,070,247,084 | I_kwDOCUB6oc4_yqys | 14,608 | [Benchmark] HF Trainer on RTX-3090 | {
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"### Diagnostics of T5 slowness under TF32 \r\n\r\nBy Eddie Yan (re-pasted from torch slack)\r\n\r\nHere is update/summary after investigating the T5 model further:\r\n\r\nThe lack of speedup in TF32 can be attributed to bottlenecks in non-GEMM ops (e.g., pointwise ops in custom unfused LayerNorm and custom AdamW ... | 1,638 | 1,642 | null | CONTRIBUTOR | null | # 🖥 Benchmarking `transformers` w/ HF Trainer on RTX-3090
We are going to use a special benchmarking tool that will do all the work for us. https://github.com/huggingface/transformers/pull/14934
This is the index post and specific benchmarks are in their own posts below:
1. [fp16 vs bf16 vs tf32 vs fp32](http... | {
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https://api.github.com/repos/huggingface/transformers/issues/14607 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14607/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14607/comments | https://api.github.com/repos/huggingface/transformers/issues/14607/events | https://github.com/huggingface/transformers/pull/14607 | 1,070,128,209 | PR_kwDOCUB6oc4vVnsm | 14,607 | [CI] move env print to util, add pt, nccl versions | {
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- moves multiple python one liners to print pt env into a script - this is both faster and easier to maintain
- adds torch version
- adds NCCL version (could remove if it's useless info, i just thought it might be useful in certain situations)
@LysandreJik | {
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https://api.github.com/repos/huggingface/transformers/issues/14606 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14606/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14606/comments | https://api.github.com/repos/huggingface/transformers/issues/14606/events | https://github.com/huggingface/transformers/pull/14606 | 1,070,096,309 | PR_kwDOCUB6oc4vVhJ8 | 14,606 | [trainer] add tf32-mode control | {
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"The benchmarks are terrible: https://github.com/huggingface/transformers/issues/14608\r\ngoing to ask for advice from the pytorch experts"
] | 1,638 | 1,638 | 1,638 | CONTRIBUTOR | null | This PR adds tr32-mode control support for HF Trainer for Ampere cards. RFC: https://github.com/huggingface/transformers/issues/14450
pytorch had this mode on by default since pt-1.7, but are discussing to turn it off in the coming new release. https://github.com/pytorch/pytorch/issues/67384
Here is the proposed ... | {
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https://api.github.com/repos/huggingface/transformers/issues/14605 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14605/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14605/comments | https://api.github.com/repos/huggingface/transformers/issues/14605/events | https://github.com/huggingface/transformers/issues/14605 | 1,069,933,943 | I_kwDOCUB6oc4_xeV3 | 14,605 | [Flax] Add Flax implementation of `RoFormer` | {
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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/master/CONTRIBUTING.md)... | 1,638 | 1,641 | 1,641 | CONTRIBUTOR | null | # 🚀 Feature request
Add Flax implementation of `RoFormer` models.
## Motivation
Improve the level of Flax/Jax support.
## Your contribution
I'll be glad to work on this :] | {
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https://api.github.com/repos/huggingface/transformers/issues/14604 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14604/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14604/comments | https://api.github.com/repos/huggingface/transformers/issues/14604/events | https://github.com/huggingface/transformers/issues/14604 | 1,069,846,688 | I_kwDOCUB6oc4_xJCg | 14,604 | HF space specific issue: can't import `AutoModelForSeq2SeqLM` from `transformers==4.6.1` with `torch` installed | {
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"cc @cbensimon ",
"Thank you for flagging this issue @aseifert ! \r\n\r\n~I was able to reproduce this locally in `conda` using:~\r\n\r\n```\r\nconda create -n buggy-space python=3.8 && conda activate bugg-space\r\npip install transformers==4.6.1 torch==1.10.0\r\n```\r\n\r\n~followed by running the following insi... | 1,638 | 1,642 | 1,642 | NONE | null | For some reason I can't import `AutoModelForSeq2SeqLM` when running on hf space AND having installed `torch==1.10.0`.
## 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`... | {
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https://api.github.com/repos/huggingface/transformers/issues/14603 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14603/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14603/comments | https://api.github.com/repos/huggingface/transformers/issues/14603/events | https://github.com/huggingface/transformers/issues/14603 | 1,069,628,477 | I_kwDOCUB6oc4_wTw9 | 14,603 | Recover when the `sha` of the local file is not correct. | {
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"That's interesting. We have the `force_download` option which you can use to force a redownload in case of a corrupted file, but your approach doesn't have any drawbacks that I am aware of.",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs ... | 1,638 | 1,642 | 1,642 | 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: `master` (probably any version)
- Platform: ubuntu
- Python version: 3.9
- PyTorch version (GPU?): 1.10
- T... | {
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https://api.github.com/repos/huggingface/transformers/issues/14602 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14602/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14602/comments | https://api.github.com/repos/huggingface/transformers/issues/14602/events | https://github.com/huggingface/transformers/issues/14602 | 1,069,569,741 | I_kwDOCUB6oc4_wFbN | 14,602 | Can you add a fast tokenizer for the ByT5 model? | {
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"Hi @vitalyshalumov ,\r\n\r\nDo you have any suggestions as to why we should do that ? `ByT5` operates on bytes directly, so no real tokenization is needed there, offloading work to rust might actually be counterproductive there.",
"> \r\nThere are several features of the Fast tokenizers that are utilised in the ... | 1,638 | 1,641 | 1,641 | NONE | null | null | {
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https://api.github.com/repos/huggingface/transformers/issues/14601 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14601/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14601/comments | https://api.github.com/repos/huggingface/transformers/issues/14601/events | https://github.com/huggingface/transformers/issues/14601 | 1,069,492,840 | I_kwDOCUB6oc4_vypo | 14,601 | Error loading Speech2Text2Processor.from_pretrained("facebook/wav2vec2-xls-r-2b-21-to-en") | {
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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/master/CONTRIBUTING.md)... | 1,638 | 1,643 | 1,643 | NONE | null | - `transformers` version: 4.12.5
- Platform: Linux-5.4.0-90-generic-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.6.9
- PyTorch version (GPU?): 1.9.0+cu102 (True)
- Tensorflow version (GPU?): 2.6.0 (False)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not installed
- JaxLib version: no... | {
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https://api.github.com/repos/huggingface/transformers/issues/14600 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14600/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14600/comments | https://api.github.com/repos/huggingface/transformers/issues/14600/events | https://github.com/huggingface/transformers/pull/14600 | 1,069,439,780 | PR_kwDOCUB6oc4vTWIy | 14,600 | change tf.math.divide with int(/) in distilbert model | {
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"This is a simple change with a clear rationale, and all tests pass, so I'm happy to merge it. Thank you for this PR!"
] | 1,638 | 1,638 | 1,638 | CONTRIBUTOR | null |
# What does this PR do?
This PR changes `tf.math.divide` with `int( / )` for variable `dim_per_head`. Originally `dim_per_head` is returned as a `float64` tensor and is included in the TF graph. This is not supported by some machines and there is not a solid reason to include it into the TF graph. Hence, this PR r... | {
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https://api.github.com/repos/huggingface/transformers/issues/14599 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14599/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14599/comments | https://api.github.com/repos/huggingface/transformers/issues/14599/events | https://github.com/huggingface/transformers/pull/14599 | 1,069,398,110 | PR_kwDOCUB6oc4vTNSA | 14,599 | Add Flax example tests | {
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This PR adds tests for flax examples.
The test for image-classification example is not added since the script uses a manual dataset with `torchvision`. The test will be added once the script is refactored to use `datasets`.
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https://api.github.com/repos/huggingface/transformers/issues/14598 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14598/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14598/comments | https://api.github.com/repos/huggingface/transformers/issues/14598/events | https://github.com/huggingface/transformers/pull/14598 | 1,069,301,251 | PR_kwDOCUB6oc4vS4y_ | 14,598 | Python 3.6 -> Python 3.7 for TF runs | {
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"Thanks for fixing!"
] | 1,638 | 1,638 | 1,638 | MEMBER | null | Fix the last CircleCI job that was not updated | {
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https://api.github.com/repos/huggingface/transformers/issues/14597 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14597/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14597/comments | https://api.github.com/repos/huggingface/transformers/issues/14597/events | https://github.com/huggingface/transformers/pull/14597 | 1,069,262,241 | PR_kwDOCUB6oc4vSwx9 | 14,597 | Adds a git pull instruction to the documentation builder | {
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"you could do it even later, i.e. 1/ building the doc to a temp folder, 2/ pulling, 3/ mv'ing the doc (instant), 4/ pushing"
] | 1,638 | 1,638 | 1,638 | MEMBER | null | If two consecutive commits happen in rapid succession, then the clone of the doc-builder repository might not be updated by the time the pip installations are over. This greatly reduces the risk this happens by putting a `git pull` instruction after the environment setup. | {
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https://api.github.com/repos/huggingface/transformers/issues/14596 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14596/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14596/comments | https://api.github.com/repos/huggingface/transformers/issues/14596/events | https://github.com/huggingface/transformers/issues/14596 | 1,069,222,781 | I_kwDOCUB6oc4_uwt9 | 14,596 | Hubert-base Model with new tokenizer is not converging | {
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"I have checked the labels which i feed in and seems to be ok\r\n\r\n```\r\nADAM ANDREASSON\r\n[3, 6, 3, 15, 2, 3, 16, 6, 20, 7, 3, 21, 21, 17, 16]\r\n```",
"After 20,000 iterations, it only learns char '3', which must be quite unusual or wrong configuration somewhere. \r\n\r\nMy training and test data is same fo... | 1,638 | 1,690 | 1,641 | NONE | null | ## Environment info
- transformers version: 4.12.2
- Platform: Mac
- Python version: 3.7
- PyTorch version (GPU?): 1.9
- Tensorflow version (GPU?): No
- Using GPU in script?: No
- Using distributed or parallel set-up in script?: No
I just run simple code to load Hubert pretrained base model
```
vocab_... | {
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https://api.github.com/repos/huggingface/transformers/issues/14595 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14595/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14595/comments | https://api.github.com/repos/huggingface/transformers/issues/14595/events | https://github.com/huggingface/transformers/issues/14595 | 1,068,970,273 | I_kwDOCUB6oc4_tzEh | 14,595 | GPT-2 Model wrapped in DataParallel hangs immediately | {
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"The script executes without any problem on my side (two Titans, PyTorch 1.10 and CUDA 10.2), so there is nothing wrong with the model per se. How are you launching the script?",
"I was afraid that would be the case and I'm facing a driver issue or something. I am launching simply with `python script.py`, where s... | 1,638 | 1,643 | 1,642 | NONE | null | ## Environment info
- `transformers` version: 4.12.5
- Platform: Linux-3.10.0-1160.24.1.el7.x86_64-x86_64-with-glibc2.17
- Python version: 3.9.5
- PyTorch version (GPU?): 1.10.0 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not installed... | {
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https://api.github.com/repos/huggingface/transformers/issues/14594 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14594/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14594/comments | https://api.github.com/repos/huggingface/transformers/issues/14594/events | https://github.com/huggingface/transformers/pull/14594 | 1,068,965,328 | PR_kwDOCUB6oc4vRzAY | 14,594 | Rename toctree.yml -> _toctree.yml | {
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As suggested by @Pierrci
> it was easier to distinguish "special" files in the build output before IMO
<!--
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... | {
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https://api.github.com/repos/huggingface/transformers/issues/14593 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14593/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14593/comments | https://api.github.com/repos/huggingface/transformers/issues/14593/events | https://github.com/huggingface/transformers/pull/14593 | 1,068,938,151 | PR_kwDOCUB6oc4vRtR5 | 14,593 | Update doc img links | {
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Companion PR for https://github.com/huggingface/doc-builder/pull/34
TLDR: all doc img links (both rst & md) should be in format `/imgs/xyz.png`
<!--
Congratulations! You've made it this far! You're not quite done yet though.
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https://api.github.com/repos/huggingface/transformers/issues/14592 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14592/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14592/comments | https://api.github.com/repos/huggingface/transformers/issues/14592/events | https://github.com/huggingface/transformers/issues/14592 | 1,068,821,422 | I_kwDOCUB6oc4_tOuu | 14,592 | Version 4.12.5 doesn't work on sagemaker | {
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"Hmm @philschmid ",
"And @sgugger ",
"+1, ran into the exact same issue yesterday on `4.12.5`. Didn't try other versions exhaustively, but `4.12.2` worked.",
"This is the same error as with DeepSpeed, I'm guessing they are using a similar thing with the hooks not being allowed to be mutated. This is fixed on ... | 1,638 | 1,641 | 1,641 | NONE | null | ## Environment info
- `transformers` version: 4.12.5
- Platform: sagemaker
- Python version: 3.6
- PyTorch version (GPU?): 1.8.1 GPU
- Using GPU in script?: yes, using sagemaker instance
- Using distributed or parallel set-up in script?: no
## Information
I have code that I am using to train on sagemaker. ... | {
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https://api.github.com/repos/huggingface/transformers/issues/14591 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14591/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14591/comments | https://api.github.com/repos/huggingface/transformers/issues/14591/events | https://github.com/huggingface/transformers/pull/14591 | 1,068,787,556 | PR_kwDOCUB6oc4vRNKL | 14,591 | update deprecating `transformers-cli` to `huggingface-cli` in docs | {
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"looks good to me!",
"Thanks @fcakyon!\r\n\r\nThis page seriously needs an update, and I believe some methods here don't exist in `huggingface-cli` ...\r\n\r\nWe should probably just link to the following: https://huggingface.co/docs/hub/adding-a-model",
"This issue has been automatically marked as stale becaus... | 1,638 | 1,641 | 1,641 | CONTRIBUTOR | null | null | {
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https://api.github.com/repos/huggingface/transformers/issues/14590 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14590/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14590/comments | https://api.github.com/repos/huggingface/transformers/issues/14590/events | https://github.com/huggingface/transformers/pull/14590 | 1,068,738,700 | PR_kwDOCUB6oc4vRCz7 | 14,590 | Doc new front | {
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"🤯"
] | 1,638 | 1,638 | 1,638 | COLLABORATOR | null | # What does this PR do?
This PR switches the current documentation to the new frontend. It is safe to merge as long as we deploy the new front soon enough, but in the meantime it will just stop deploying the doc using the current system.
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https://api.github.com/repos/huggingface/transformers/issues/14588 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14588/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14588/comments | https://api.github.com/repos/huggingface/transformers/issues/14588/events | https://github.com/huggingface/transformers/pull/14588 | 1,068,686,078 | PR_kwDOCUB6oc4vQ3op | 14,588 | Make DefaultDataCollator importable from root | {
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"If I remember correctly, it's because the transformers logic prevents us from overriding config if either of those 2 are defined.\r\n\r\nI'm sure you will see it immediately if you remove the constraint.\r\n\r\nIf you find a good way to fix it, by all means please do.",
"This issue has been automatically marked ... | 1,638 | 1,641 | 1,641 | MEMBER | null | # 🚀 Feature request
Allow the `--config_overrides` option in language-modeling examples to override a config that was specified by `--config_name` or `--model_name_or_path`, currently this is blocked by:
```python
if self.config_overrides is not None and (self.config_name is not None or self.model_name_or_path is... | {
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"There seems to be some sort of race condition happening in `run_tests_torch`:\r\n\r\n```\r\n_____________________________ ERROR collecting gw1 _____________________________\r\nDifferent tests were collected between gw0 and gw1. The difference is:\r\n--- gw0\r\n\r\n+++ gw1\r\n```\r\n\r\n[This issue](https://github.... | 1,638 | 1,664 | 1,640 | MEMBER | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/14585 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14585/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14585/comments | https://api.github.com/repos/huggingface/transformers/issues/14585/events | https://github.com/huggingface/transformers/issues/14585 | 1,068,294,541 | I_kwDOCUB6oc4_rOGN | 14,585 | Deberta's Enhanced Masked Decoder | {
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"The implementation of Enhanced Mask Decoder was here, https://github.com/microsoft/DeBERTa/blob/master/DeBERTa/apps/models/masked_language_model.py\r\nWe will port the implementation to transformers.",
"Hi, Alex, thanks for your interest to our work and sorry for the inconvenience. The missing EMD part will not... | 1,638 | 1,641 | 1,641 | NONE | null | # 🚀 Feature request
I don't know if this is a feature request or the feature is already included but I wasn't able to find it. Reviewing Deberta's code, I tried to look for the Enhanced Masked Decoder, which is supposed to take into account absolute positional embeddings. However, when looking both DebertaModel and... | {
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I would like to add the recently announced [PoolFormer](https://github.com/sail-sg/poolformer) model to the Transformers library.
## Model description
PoolFormer model was proposed in the paper, “**MetaFormer is Actually What You Need for Vision**” by Sea AI Lab and the main argument behi... | {
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1. Fix docs/source/converting_tensorflow_models.rst
2. Delete versions.yml because https://github.com/huggingface/doc-builder/pull/31
3. Rm `pretrained_models` from toctree.yml
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"Thanks for your PR! I will take a look at your PR and help out on tests after the holiday break - first week of January! Thanks for your patience.",
"@LysandreJik Hey! any updates on this?",
"Thank you for your PR, @AyushExel! All that remains is testing.\r\n\r\nYou can see an example of how it was done for `r... | 1,638 | 1,643 | 1,643 | CONTRIBUTOR | null | # Add support for W&B hyperparameter sweep
This PR:
* allows using wandb for running hyperparameter search.
* The runs are visualized on W&B sweeps dashboard
* This supports runnning sweeps on parallel devices, all reporting to the same central dashboard.
### Usage
**To run new a hyperparameter search:**
```
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"Deepspeed Inference is not a completed product AFAIK, and it's not yet integrated into Transformers because of that. \r\n\r\nAs you can see from the trace the `transformers` library is not being used. So please re-file this issue with Deepspeed and tag @RezaYazdaniAminabadi.\r\n\r\nAny reason why you are not using... | 1,638 | 1,638 | 1,638 | 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: Ubuntu 18.04.6 LTS
- Python version: Python 3.6.9
- PyTorch version (GPU?): 1.10.0+cu113
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- validates that `--bf16`, `--bf16_full_eval` are supported by the user setup
- doc improvements by @manuelciosici
@sgugger | {
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https://api.github.com/repos/huggingface/transformers/issues/14579 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14579/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14579/comments | https://api.github.com/repos/huggingface/transformers/issues/14579/events | https://github.com/huggingface/transformers/pull/14579 | 1,067,894,858 | PR_kwDOCUB6oc4vOOhs | 14,579 | [doc] bf16/tf32 guide | {
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"Thanks a lot for the proofreading and the corrections, @manuelciosici \r\n\r\nYou couldn't make suggestions since the PR was merged already.\r\n\r\nI applied your corrections to this ongoing PR https://github.com/huggingface/transformers/pull/14580 that collects small fixes.\r\n\r\nI even figured out how to make t... | 1,638 | 1,638 | 1,638 | CONTRIBUTOR | null | This PR adds performance-specific docs as a follow up to https://github.com/huggingface/transformers/pull/13207
- adds the missing `--fp16_full_eval`
- adds `--bf16` and `--bf16_full_eval`
- adds discussion of `tf32`
This is the first pass, surely will add more down the road.
@sgugger | {
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https://api.github.com/repos/huggingface/transformers/issues/14578 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14578/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14578/comments | https://api.github.com/repos/huggingface/transformers/issues/14578/events | https://github.com/huggingface/transformers/pull/14578 | 1,067,786,423 | PR_kwDOCUB6oc4vN3of | 14,578 | Adapt build command to new CLI tools | {
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This adapts the command to the new CLI tool introduced in [this PR](https://github.com/huggingface/doc-builder/pull/32) (should be merged after as a result). | {
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https://api.github.com/repos/huggingface/transformers/issues/14577 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14577/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14577/comments | https://api.github.com/repos/huggingface/transformers/issues/14577/events | https://github.com/huggingface/transformers/pull/14577 | 1,067,706,335 | PR_kwDOCUB6oc4vNmn1 | 14,577 | fix pytorch division warning by using suggested torch.div rounding_mode | {
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"Note that this argument of `torch.div` was only introduced in PyTorch 1.8.0, so this fix is not compatible with all the versions of torch we support (1.4.0 and onward). I think we will need to write a function that uses the old syntax (`//`) for older versions and only switches to the newer syntax in more recent v... | 1,638 | 1,644 | 1,644 | CONTRIBUTOR | null | # What does this PR do?
This PR removes a warning that is repeatedly thrown with the latest releases of transformers and pytorch.
example:
```shell
lib/python3.7/site-packages/transformers/models/hubert/modeling_hubert.py:803: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future ver... | {
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https://api.github.com/repos/huggingface/transformers/issues/14576 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14576/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14576/comments | https://api.github.com/repos/huggingface/transformers/issues/14576/events | https://github.com/huggingface/transformers/pull/14576 | 1,067,690,968 | PR_kwDOCUB6oc4vNjY8 | 14,576 | [Flax] Add FlaxBlenderbotSmall | {
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"Good to merge for me! Sorry for being so late and causing the merge conflict now @stancld :-/ Could you fix it quickly? Then I think we're good to merge this PR",
"@patrickvonplaten No worries, it's okay :] Merge conflict should be resolved.",
"Thanks, @stancld! Will push the checkpoints shortly and merge :) ... | 1,638 | 1,638 | 1,638 | CONTRIBUTOR | null | # What does this PR do?
This PR adds `FlaxBlenderbotSmall` models.
**TODO:** Add model checkpoints for flax on the Hub.
Fixes #14188
## Before submitting
- [x] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/master/CONTRIBUTING.md#start-contributing-pull-request... | {
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https://api.github.com/repos/huggingface/transformers/issues/14575 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14575/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14575/comments | https://api.github.com/repos/huggingface/transformers/issues/14575/events | https://github.com/huggingface/transformers/issues/14575 | 1,067,669,014 | I_kwDOCUB6oc4_o1YW | 14,575 | GPT2 large trains on 1 GPU but does not fit in two. | {
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"This [really great document](https://huggingface.co/docs/transformers/performance), written by @stas00 , may be of help :)",
"That's very interesting. There should be a bit of memory usage overhead for many gpus over 1 gpu because the latter has to sync DDP results, but not by much.\r\n\r\nWhat was the command l... | 1,638 | 1,641 | 1,641 | NONE | null | Hi all,
I am training GPT2 from scratch with the following command:
`torchrun --nproc_per_node=2 --nnodes=1 ./5.run_clm-post.py --model_name_or_path gpt2-large --train_file datasets/sample.txt --tokenizer_name myembeddings --do_train --do_eval --output_dir ./sample --evaluation_strategy epoch --num_train_epochs ... | {
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https://api.github.com/repos/huggingface/transformers/issues/14574 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14574/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14574/comments | https://api.github.com/repos/huggingface/transformers/issues/14574/events | https://github.com/huggingface/transformers/issues/14574 | 1,067,330,566 | I_kwDOCUB6oc4_niwG | 14,574 | Adafactor does not work with Resnets (or with MAML) | {
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"@LysandreJik can you help me ping the right person for this issues?\r\n\r\nThe summary is:\r\n- using Adafactor with a Resnet results in a bug(also MAML is involved)",
"Hi @brando90, `transformers` is meant as a library of model architectures more than a library of optimizers, and we're actively moving away from... | 1,638 | 1,641 | 1,641 | NONE | null | ## Environment info
Copy-and-paste the text below in your GitHub issue and FILL OUT the two last points.
- `transformers` version: 4.10.3
- Platform: Linux-3.10.0-1160.42.2.el7.x86_64-x86_64-with-glibc2.17
- Python version: 3.9.7
- PyTorch version (GPU?): 1.9.1+cu111 (True)
- Tensorflow version (GPU?): not inst... | {
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https://api.github.com/repos/huggingface/transformers/issues/14573 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14573/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14573/comments | https://api.github.com/repos/huggingface/transformers/issues/14573/events | https://github.com/huggingface/transformers/pull/14573 | 1,067,266,833 | PR_kwDOCUB6oc4vMKcO | 14,573 | Adding call for contribution for the S4 model | {
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"Hi @Rocketknight1,\r\nI would like to work on this S4 model\r\n",
"Hi @kamalkraj, sure thing! I thought this was quite an unusual and challenging model, but you've done some really good work in other PRs, so I think you should be able for it. Note that since the original repository is PyTorch-only, we'll probabl... | 1,638 | 1,641 | 1,641 | MEMBER | null | Looking for community contributors to add the S4 model! ([repo](https://github.com/HazyResearch/state-spaces), [paper](https://arxiv.org/abs/2111.00396)) | {
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"cc @nreimers @osanseviero ",
"This should be fixed now, it was a data corruption issue cc @Narsil ",
"@osanseviero @Narsil Still facing this issue.\r\n\r\n<img width=\"1685\" alt=\"Screenshot 2021-12-01 at 9 47 09 AM\" src=\"https://user-images.githubusercontent.com/24825646/144170950-f58f8496-e551-4534-9fa1-8... | 1,638 | 1,641 | 1,641 | NONE | null | Hi,
I am trying to use the Accelerated Inference API and am facing this issue while using multiple sentence-transformer models. This happens when I use any input other than the auto-filled one.
@pati... | {
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With https://github.com/huggingface/doc-builder/pull/31, versions.yml file & logic is handled on the doc-builder side
<!--
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 ma... | {
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https://api.github.com/repos/huggingface/transformers/issues/14570 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14570/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14570/comments | https://api.github.com/repos/huggingface/transformers/issues/14570/events | https://github.com/huggingface/transformers/pull/14570 | 1,066,888,773 | PR_kwDOCUB6oc4vK7Wp | 14,570 | Add mLUKE | {
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"Thank you for reviewing, @NielsRogge!\r\nI’ve reflected the reviews to the code and also added mLUKE to the Multilingual-models section in the doc.",
"Thanks for taking into account the comments. Can you rebase with master? The index.rst file is now replaced by an [index.mdx](https://github.com/huggingface/trans... | 1,638 | 1,638 | 1,638 | CONTRIBUTOR | null | # What does this PR do?
This PR adds mLUKE, [mLUKE: The Power of Entity Representations in Multilingual Pretrained Language Models](https://arxiv.org/abs/2110.08151), by Studio Ousia.
The model is a multilingual extension of [LUKE](https://huggingface.co/transformers/model_doc/luke.html), which is trained on the Wi... | {
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"Thanks a lot for catching those few development process leftovers, Sylvain! Much appreciating. All cleaned up now."
] | 1,638 | 1,647 | 1,647 | CONTRIBUTOR | null | This PR:
- adds support for bfloat16 for ZeRO-1, ZeRO-2 and ZeRO-3 to HF/DS integration.
- most functional tests are now run for bf16 as well - so this PR almost doubles the number of tests. model zoo tests are left with fp16 for now, as both should work the same.
- docs are updated to document the new feature
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"Thanks a lot for the very in-detail explanations @gugarosa ! I like your proposals and IMO we could do the following:\r\n\r\n1) Output both `loss` and `losses` whereas `losses` is still in \"vector\"-form and we introduce a new `loss` output that has your proposed form. So the following use cases should work:\r\n\... | 1,638 | 1,647 | 1,647 | CONTRIBUTOR | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/14567 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14567/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14567/comments | https://api.github.com/repos/huggingface/transformers/issues/14567/events | https://github.com/huggingface/transformers/pull/14567 | 1,066,358,603 | PR_kwDOCUB6oc4vJOgu | 14,567 | Fix index links | {
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This PR fixes the links in the README (and their localized versions) and the tooling around them to have the index be properly generated.
It also fixes the script that checks if objects are all properly documented to handle the mdx files. | {
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https://api.github.com/repos/huggingface/transformers/issues/14566 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14566/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14566/comments | https://api.github.com/repos/huggingface/transformers/issues/14566/events | https://github.com/huggingface/transformers/pull/14566 | 1,066,282,387 | PR_kwDOCUB6oc4vI-n_ | 14,566 | Fix backend regex | {
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This PR fixes the regex for potential backends (which can include an _ as from the QDQBert model) in other scripts. | {
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"Hi @jakobbrown , the same is working for me with this version of packages.\r\ntransformers - '4.6.0'\r\ntorch - '1.10.0+cu102'",
"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 t... | 1,638 | 1,641 | 1,641 | NONE | null | Hi there,
error on line:
'''
from transformers import BertForSequenceClassification
'''
Resulting in the following errror:
'''
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
C:\ProgramData\Anaconda3... | {
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https://api.github.com/repos/huggingface/transformers/issues/14564 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14564/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14564/comments | https://api.github.com/repos/huggingface/transformers/issues/14564/events | https://github.com/huggingface/transformers/pull/14564 | 1,066,112,794 | PR_kwDOCUB6oc4vIcad | 14,564 | [Generate] Fix generate with inputs_embeds on GPU | {
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<!--
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https://api.github.com/repos/huggingface/transformers/issues/14563 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14563/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14563/comments | https://api.github.com/repos/huggingface/transformers/issues/14563/events | https://github.com/huggingface/transformers/issues/14563 | 1,065,947,795 | I_kwDOCUB6oc4_iRKT | 14,563 | [Bug] Issue in AutoModelForSequenceClassification while initialization | {
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"A couple of things are strange in your code cell # 3:\r\n\r\n```python\r\n\r\n\r\nid2label = { \"0\": \"admiration\", \"1\": \"amusement\", \"2\": \"anger\", \"3\": \"annoyance\", \"4\": \"approval\", \"5\": \"caring\", \"6\": \"confusion\", \"7\": \"curiosity\", \"8\": \"desire\",\r\n \"9\": \"disappointment\"... | 1,638 | 1,638 | 1,638 | CONTRIBUTOR | null | ## Issue:
If we import Sequence Classification model like this,
```python
from transformers import AutoModelForSequenceClassification
num_labels=28
model = AutoModelForSequenceClassification.from_pretrained("distilbert-base-uncased",
num_labels=num_... | {
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https://api.github.com/repos/huggingface/transformers/issues/14562 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14562/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14562/comments | https://api.github.com/repos/huggingface/transformers/issues/14562/events | https://github.com/huggingface/transformers/pull/14562 | 1,065,929,399 | PR_kwDOCUB6oc4vH10- | 14,562 | Fix doc interlinks | {
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Fixes inter link references in the doc
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"I've also encountered the same problem specially obvious working on clusters having no internet access. The problem stems from the fact that other than the string passed to the `from_pretrained`, there really is no good way right now of knowing what model is in the folder. I thought `model_type` might help but tha... | 1,638 | 1,685 | 1,641 | NONE | null | ## To reproduce
When loading model from local path, the `tokenizer.model_max_length` is `VERY_LARGE_INTEGER`:
```py
from transformers import GPT2Tokenizer
tokenizer = GPT2Tokenizer.from_pretrained("gpt2")
print(tokenizer.model_max_length)
# 1024
tokenizer = GPT2Tokenizer.from_pretrained("path/to/local/gpt2... | {
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https://api.github.com/repos/huggingface/transformers/issues/14560 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14560/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14560/comments | https://api.github.com/repos/huggingface/transformers/issues/14560/events | https://github.com/huggingface/transformers/issues/14560 | 1,065,745,617 | I_kwDOCUB6oc4_hfzR | 14,560 | [Probably a bug] - T5TokenizerFast is not the same as T5Tokenizer - it adds id 1 when using batch encode plus | {
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"Hi @Oxi84, \r\n\r\nI'm not able to reproduce this error. \r\nIn the code cell you gave, at the first block you define `tokenizer1` but you are using `tokenizer1_decode` as a tokenizer instance. \r\n\r\nThe error may come from this line : `encoding = tokenizer1_decode.batch_encode_plus(text,pad_to_max_length=True)`... | 1,638 | 1,641 | 1,641 | NONE | null | Ubuntu 18.04
Transformers 4.12.5
I tried T5TokenizerFast and it is much faster but the generation output is different. Encoding part seems like adds one addition 1 (id) while the decoder seem to work fine. But as results output is very different.
1)
from transformers import T5ForConditionalGeneration... | {
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https://api.github.com/repos/huggingface/transformers/issues/14559 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14559/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14559/comments | https://api.github.com/repos/huggingface/transformers/issues/14559/events | https://github.com/huggingface/transformers/issues/14559 | 1,065,678,617 | I_kwDOCUB6oc4_hPcZ | 14,559 | Question about an error occurring while running hf_argparser.py | {
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"I solved the problem by editing File \"/usr/lib/python3.7/typing.py\", line 721, in subclasscheck\r\nreturn issubclass(cls, self.origin):\r\n return issubclass(cls, self.origin) -> return issubclass(type(cls), self.origin)\r\n",
"same issue to me."
] | 1,638 | 1,642 | 1,638 | 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: 4.3.2
- Platform: Google Colab
- Python version: Python 3.7.12
- PyTorch version (GPU?): 1.8.0+cu111 (using ... | {
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https://api.github.com/repos/huggingface/transformers/issues/14558 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/14558/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/14558/comments | https://api.github.com/repos/huggingface/transformers/issues/14558/events | https://github.com/huggingface/transformers/issues/14558 | 1,065,627,469 | I_kwDOCUB6oc4_hC9N | 14,558 | XLMForSequenceClassification does not work | {
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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/master/CONTRIBUTING.md)... | 1,638 | 1,641 | 1,641 | 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 3.10.0-957.21.3.el7.x86_64
- Python version: 3.8.5
- PyTorch version (GPU?): 1.8.1... | {
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"@LysandreJik Can you please review this PR. And help how to fix torch tests and check_code_quality?"
] | 1,638 | 1,638 | 1,638 | NONE | null | _In BertForSequenceClassification when detecting what type of loss to use, based on self.config.problem_type BCEWithLogitsLoss and CrossEntropyLoss erroneosly switched. It works correctly in case when self.config.problem_type not defined, because it switched in detection and application code, but if problem_type corr... | {
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