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https://api.github.com/repos/huggingface/transformers/issues/15260 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15260/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15260/comments | https://api.github.com/repos/huggingface/transformers/issues/15260/events | https://github.com/huggingface/transformers/issues/15260 | 1,109,663,478 | I_kwDOCUB6oc5CJB72 | 15,260 | Fine Tunning the Pytorch script | {
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"Maybe you remove all the '\\' in the code, the problem will be solved.",
"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 guidelin... | 1,642 | 1,646 | 1,646 | NONE | null | I am trying a text summarization project mentioned in this link https://github.com/SatishDeshbhratar/transformers/tree/master/examples/pytorch/summarization
But I am facing the error related to hf argument parser as below
> (pytorch_nlp) PS D:\Docs\Course work\Final Project (Text Summarization)\Script> python run... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,642 | 1,643 | 1,643 | MEMBER | null | This is a first draft of the updated fine-tune tutorial. Main updates include:
- Preprocess a different dataset (users are probably very used to seeing `imdb` now) to include more diverse examples so users don't feel like they are doing the same thing over and over.
- Update the `Trainer` example to include evaluat... | {
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https://api.github.com/repos/huggingface/transformers/issues/15258 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15258/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15258/comments | https://api.github.com/repos/huggingface/transformers/issues/15258/events | https://github.com/huggingface/transformers/pull/15258 | 1,109,619,540 | PR_kwDOCUB6oc4xV0Is | 15,258 | Fix crash when logs are empty because Keras has wiped them out of spite | {
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"Thank you for your PR! The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_15258). All of your documentation changes will be reflected on that endpoint.",
"Great job merging this PR! the documentation will now be removed from the staging environment."
] | 1,642 | 1,642 | 1,642 | MEMBER | null | In situations where the training history is empty, TF model card creation via `model.create_model_card()` or `model.push_to_hub()` no longer crashes. | {
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https://api.github.com/repos/huggingface/transformers/issues/15257 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15257/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15257/comments | https://api.github.com/repos/huggingface/transformers/issues/15257/events | https://github.com/huggingface/transformers/pull/15257 | 1,109,552,090 | PR_kwDOCUB6oc4xVmE5 | 15,257 | Fix code examples | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,642 | 1,642 | 1,642 | CONTRIBUTOR | null | # What does this PR do?
This PR fixes a few mistakes in code examples in the docs. | {
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https://api.github.com/repos/huggingface/transformers/issues/15256 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15256/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15256/comments | https://api.github.com/repos/huggingface/transformers/issues/15256/events | https://github.com/huggingface/transformers/pull/15256 | 1,109,534,561 | PR_kwDOCUB6oc4xVigb | 15,256 | Fix TF Causal LM models' returned logits | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Could @Rocketknight1 or @gante give this a look?",
"To summarize: In causal LM models, logits and labels are offset by 1 before loss computations. In PT, the pre-shift logits are returned in the output, but in TF the post-shift log... | 1,642 | 1,651 | 1,643 | COLLABORATOR | null | # What does this PR do?
Fix TF causal LM models' returned logits
## Details
In TF causal LM models, the returned logits is the one being cut
```
if inputs["labels"] is not None:
# shift labels to the left and cut last logit token
**logits = logits[:, :-1]**
la... | {
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https://api.github.com/repos/huggingface/transformers/issues/15255 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15255/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15255/comments | https://api.github.com/repos/huggingface/transformers/issues/15255/events | https://github.com/huggingface/transformers/pull/15255 | 1,109,418,448 | PR_kwDOCUB6oc4xVKYD | 15,255 | Tentative workflow improvement | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"See the edits of the comment above.",
"I'm ok with both solutions 1 and 3 - I agree that it might be odd for the comment to be deleted, and hiding the comment removes that peculiarity.\r\n\r\nIf it's ok with you, I'll merge this PR... | 1,642 | 1,642 | 1,642 | MEMBER | null | This improves the workflow of the doc-builder bot by adding a single comment when the PR is opened.
When the PR is closed or merged, it edits that comment. If the PR is reopened, it re-edits that comment. | {
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https://api.github.com/repos/huggingface/transformers/issues/15254 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15254/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15254/comments | https://api.github.com/repos/huggingface/transformers/issues/15254/events | https://github.com/huggingface/transformers/issues/15254 | 1,109,413,548 | I_kwDOCUB6oc5CIE6s | 15,254 | Export LayoutLMv2 to TorchScript | {
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"cc @NielsRogge ",
"I was looking into a bit more and I found out that the reason why the torchscript conversion is crashing are following:\r\n1) torch.jit._trace.py ->line 958 module._c._create_method_from_trace is unsqueezing the inputs thus instead of passing original e.g. attention_mask input as {Tensor:(1,24... | 1,642 | 1,646 | 1,646 | 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: MacOS
- Python version: 3.8
- PyTorch version (GPU?): 1.10 CPU
- Tensorflow version (GPU... | {
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"Thank you for your PR! The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_15253). All of your documentation changes will be reflected on that endpoint.",
"Great job merging this PR! the documentation will now be removed from the staging environment."
] | 1,642 | 1,642 | 1,642 | CONTRIBUTOR | null | # What does this PR do?
I've found a message raised with `NotImplementedError` by `PreTrainedModel._init_weights()` is not correct.
This PR resolves that.
## 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 [contribu... | {
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https://api.github.com/repos/huggingface/transformers/issues/15252 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15252/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15252/comments | https://api.github.com/repos/huggingface/transformers/issues/15252/events | https://github.com/huggingface/transformers/pull/15252 | 1,109,378,522 | PR_kwDOCUB6oc4xVB_j | 15,252 | corrected typo in robust speech event README.md regarding OVH Cloud link | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"US OVHcloud service is sadly not supported by this event"
] | 1,642 | 1,642 | 1,642 | CONTRIBUTOR | null | # What does this PR do?
Corrects a typo in robust speech event README that incorrectly directed US users to the Canadian OVH Cloud site.
## Before submitting
- [X] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
## Who can review?
@patrickvonplaten @anton-l
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https://api.github.com/repos/huggingface/transformers/issues/15250 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15250/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15250/comments | https://api.github.com/repos/huggingface/transformers/issues/15250/events | https://github.com/huggingface/transformers/pull/15250 | 1,109,318,481 | PR_kwDOCUB6oc4xU1jD | 15,250 | Add PoolFormer | {
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This PR adds the PoolFormer model to the 🤗 repository.
I also opened an Issue for adding the model #14584
## Who can review?
@NielsRogge | {
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https://api.github.com/repos/huggingface/transformers/issues/15249 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15249/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15249/comments | https://api.github.com/repos/huggingface/transformers/issues/15249/events | https://github.com/huggingface/transformers/pull/15249 | 1,109,301,749 | PR_kwDOCUB6oc4xUyEf | 15,249 | Soft length regulation | {
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"Thank you for your PR! The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_15249). All of your documentation changes will be reflected on that endpoint.",
"Thank you for your PR. The documentation will now be removed from the staging environment - feel free to reopen this PR... | 1,642 | 1,642 | 1,642 | CONTRIBUTOR | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/15248 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15248/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15248/comments | https://api.github.com/repos/huggingface/transformers/issues/15248/events | https://github.com/huggingface/transformers/issues/15248 | 1,109,214,294 | I_kwDOCUB6oc5CHURW | 15,248 | Cannot load BART-base model | {
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"Hey! Do you have a local folder with the same name as `facebook/bart-base`?",
"Hi, thank you for your quick reply! \r\n\r\nOh yes, I made this folder, but I was not aware of it before you mention! Thank you very much!"
] | 1,642 | 1,642 | 1,642 | NONE | null | ## Environment info
- `transformers` version: 4.12.3
- Platform: Linux-5.4.0-1059-aws-x86_64-with-debian-buster-sid
- Python version: 3.7.10
- PyTorch version (GPU?): 1.7.1 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not installed
- J... | {
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https://api.github.com/repos/huggingface/transformers/issues/15247 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15247/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15247/comments | https://api.github.com/repos/huggingface/transformers/issues/15247/events | https://github.com/huggingface/transformers/pull/15247 | 1,109,191,734 | PR_kwDOCUB6oc4xUbL7 | 15,247 | [Wav2Vec2ProcessorWithLM] improve multi processing | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thanks for the heads-up!",
"Failure is unrelated - merging this PR"
] | 1,642 | 1,642 | 1,642 | 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.
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https://api.github.com/repos/huggingface/transformers/issues/15246 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15246/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15246/comments | https://api.github.com/repos/huggingface/transformers/issues/15246/events | https://github.com/huggingface/transformers/pull/15246 | 1,109,137,242 | PR_kwDOCUB6oc4xUPxX | 15,246 | Update README.md | {
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"Thank you for your PR! The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_15246). All of your documentation changes will be reflected on that endpoint.",
"Great job merging this PR! the documentation will now be removed from the staging environment."
] | 1,642 | 1,642 | 1,642 | MEMBER | null | Clarify OVH instruction
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"Thank you for your PR! The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_15245). All of your documentation changes will be reflected on that endpoint.",
"@patrickvonplaten, @LysandreJik",
"Hey @kevinpl07,\r\n\r\nThanks a lot for your PR! Do you know whether this method i... | 1,642 | 1,647 | 1,647 | CONTRIBUTOR | null | # What does this PR do?
This PR enables users to softly regulate the length when using sampling method in model.generate(). We had the use case where we wanted to keep a generated sequence adequately short with no "hard" cutoff - we wanted the model to come to an end without just setting max_length, so that the end_... | {
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https://api.github.com/repos/huggingface/transformers/issues/15244 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15244/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15244/comments | https://api.github.com/repos/huggingface/transformers/issues/15244/events | https://github.com/huggingface/transformers/issues/15244 | 1,109,093,885 | I_kwDOCUB6oc5CG239 | 15,244 | Evaluation Padding_idx Error when using BERTScore and Deepspeed Zero3 but not with Zero2 | {
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"Hi @KMFODA,\r\n\r\nzero3 is different from zero2 in that it shards the params. zero3 magically gathers them on each gpu before the model's forward calls, so the model has no idea its weights were manipulated. But if you do other forward's that aren't part of the model and which are called before the model, deepspe... | 1,642 | 1,647 | 1,645 | CONTRIBUTOR | null | ## Environment info
- `transformers` version: 4.16.0.dev0
- Platform: Linux-5.11.0-37-generic-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.6.9
- PyTorch version (GPU?): 1.8.0 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not insta... | {
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https://api.github.com/repos/huggingface/transformers/issues/15243 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15243/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15243/comments | https://api.github.com/repos/huggingface/transformers/issues/15243/events | https://github.com/huggingface/transformers/pull/15243 | 1,109,073,123 | PR_kwDOCUB6oc4xUCdk | 15,243 | Update pipelines.mdx | {
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"Thank you for your PR! The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_15243). All of your documentation changes will be reflected on that endpoint.",
"Feel free to merge.",
"Great job merging this PR! the documentation will now be removed from the staging environment.... | 1,642 | 1,642 | 1,642 | CONTRIBUTOR | null | fix few spelling mistakes
# What does this PR do?
<!--
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https://api.github.com/repos/huggingface/transformers/issues/15242 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15242/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15242/comments | https://api.github.com/repos/huggingface/transformers/issues/15242/events | https://github.com/huggingface/transformers/pull/15242 | 1,109,057,406 | PR_kwDOCUB6oc4xT_PQ | 15,242 | [ViTMAE] Add image pretraining script | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"We do have a speech-pretraining folder in the examples directory, which also only works for a single model (`Wav2Vec2ForPreTraining`).",
"Do what you want then :-) "
] | 1,642 | 1,642 | 1,642 | CONTRIBUTOR | null | # What does this PR do?
This PR adds an example script to a new folder, "image-pretraining". It allows the user to pre-train a Vision Transformer (ViT) using the [MAE](https://arxiv.org/abs/2111.06377) method. More specifically, one can pre-train a `ViTMAEForPreTraining` with the script. After pre-training, one can ... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"I'm not really sure that this is the reason of the problem. Usually there is nothing wrong with `float(\"-inf\")` values for PyTorch's softmax or sampling function. I've debugged: \r\n\r\n```python\r\nfrom transformers import T5Token... | 1,642 | 1,642 | 1,642 | CONTRIBUTOR | null | # What does this PR do?
<!--
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"Thank you for your PR! The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_15240). All of your documentation changes will be reflected on that endpoint.",
"Great job merging this PR! the documentation will now be removed from the staging environment."
] | 1,642 | 1,651 | 1,642 | COLLABORATOR | null | # What does this PR do?
Add `from transformers import EncoderDecoderModel, TFEncoderDecoderModel` in a doc example. | {
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"Thank you for your PR! The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_15239). All of your documentation changes will be reflected on that endpoint.",
"Great job merging this PR! the documentation will now be removed from the staging environment."
] | 1,642 | 1,642 | 1,642 | MEMBER | null | # What does this PR do?
Adds an OVHcloud tutorial URL for the Robust Speech Challenge | {
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https://api.github.com/repos/huggingface/transformers/issues/15238 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15238/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15238/comments | https://api.github.com/repos/huggingface/transformers/issues/15238/events | https://github.com/huggingface/transformers/pull/15238 | 1,108,981,669 | PR_kwDOCUB6oc4xTviC | 15,238 | Fix a bug that QuestionAnsweringPipeline ignores max_seq_len parameter | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Merging now since this PR is relatively trivial and was running for long enough, sorry about the review time."
] | 1,642 | 1,644 | 1,644 | CONTRIBUTOR | null | # What does this PR do?
Fix a bug that QuestionAnsweringPipeline ignores max_seq_len parameter
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https://api.github.com/repos/huggingface/transformers/issues/15237 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15237/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15237/comments | https://api.github.com/repos/huggingface/transformers/issues/15237/events | https://github.com/huggingface/transformers/issues/15237 | 1,108,884,908 | I_kwDOCUB6oc5CGD2s | 15,237 | why training bigbird-512 model is much slower than bert-512? | {
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"If your maximum sequence length is just 512, it does indeed not make much sense to use BigBird and BERT, AlBERT, or DeBERTa make much more sense. BigBird should be used for models that require sequence lengths > 2048",
"The main promise of BigBird is not that it is faster than BERT for seq_len < 512, but rather ... | 1,642 | 1,643 | 1,643 | 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:
- Python version: 3.6.8
- PyTorch version (GPU?): 1.10.1+cu102
- Tensorflow version (GP... | {
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https://api.github.com/repos/huggingface/transformers/issues/15236 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15236/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15236/comments | https://api.github.com/repos/huggingface/transformers/issues/15236/events | https://github.com/huggingface/transformers/issues/15236 | 1,108,782,711 | I_kwDOCUB6oc5CFq53 | 15,236 | wav2vec2_with_lm | {
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"You can run a hyperparameter search by inferencing a test set with different alpha and beta values. But if you have a small language model there might not be a difference. Maybe use a larger language model or larger test set.",
"This issue has been automatically marked as stale because it has not had recent acti... | 1,642 | 1,661 | 1,645 | NONE | null | I refer to the example and run kenlm on the Chinese test set, it is ok ,but the language model weight, no matter how I adjust it, the result remains the same, this is my debugging code
# dict
vocabfile = os.path.join(model_path,'vocab.json')
with open(vocabfile,'r',encoding="utf-8") as f:
vocab_d... | {
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https://api.github.com/repos/huggingface/transformers/issues/15235 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15235/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15235/comments | https://api.github.com/repos/huggingface/transformers/issues/15235/events | https://github.com/huggingface/transformers/pull/15235 | 1,108,732,252 | PR_kwDOCUB6oc4xS8eF | 15,235 | Specify providers explicitly in ORT session initialization | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,642 | 1,642 | 1,642 | CONTRIBUTOR | null | # What does this PR do?
Since ORT 1.9, you are required to explicitly set the providers parameter when instantiating InferenceSession. For example, onnxruntime.InferenceSession(..., providers=['CUDAExecutionProvider', 'CPUExecutionProvider'], ...)
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https://api.github.com/repos/huggingface/transformers/issues/15234 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15234/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15234/comments | https://api.github.com/repos/huggingface/transformers/issues/15234/events | https://github.com/huggingface/transformers/pull/15234 | 1,108,406,457 | PR_kwDOCUB6oc4xR4gq | 15,234 | Fixes tf_default_data_collator sometimes guessing the wrong dtype for labels | {
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"Thank you for your PR! The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_15234). All of your documentation changes will be reflected on that endpoint.",
"Great job merging this PR! the documentation will now be removed from the staging environment."
] | 1,642 | 1,642 | 1,642 | MEMBER | null | Fixes issues reported by @philschmid in [this notebook](https://colab.research.google.com/drive/13nMZPJpgJpqzdl2e5t4cnV26m_l2xwlw?usp=sharing) with `labels` occasionally ending up as `tf.float32` instead of `tf.int64`.
The underlying cause was that the `dtype` checking code failed in cases when the label for a sing... | {
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https://api.github.com/repos/huggingface/transformers/issues/15233 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15233/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15233/comments | https://api.github.com/repos/huggingface/transformers/issues/15233/events | https://github.com/huggingface/transformers/pull/15233 | 1,108,342,066 | PR_kwDOCUB6oc4xRrEu | 15,233 | Adapt Common Voice Talk Title and Abstract | {
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"Thank you for your PR! The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_15233). All of your documentation changes will be reflected on that endpoint.",
"Great job merging this PR! the documentation will now be removed from the staging environment."
] | 1,642 | 1,642 | 1,642 | 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.
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https://api.github.com/repos/huggingface/transformers/issues/15232 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15232/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15232/comments | https://api.github.com/repos/huggingface/transformers/issues/15232/events | https://github.com/huggingface/transformers/issues/15232 | 1,108,329,278 | I_kwDOCUB6oc5CD8M- | 15,232 | Wav2Vec2ForPreTraining doc example has None loss | {
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"Hi,\r\n\r\nThanks for spotting. Feel free to open a PR to fix this :) ",
"Hi As I am a beginner, I would love to contribute to this Good First Issue, can anyone guide me.\r\nThankYou",
"Hi,\r\n\r\nThe docs of `Wav2Vec2ForPretraining` can be found in `modeling_wav2vec2.py`, [here](https://github.com/huggingface... | 1,642 | 1,664 | 1,664 | 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: 4.15.0
- Platform: Linux-5.11.0-46-generic-x86_64-with-glibc2.31
- Python version: 3.9.7
- PyTorch version (... | {
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https://api.github.com/repos/huggingface/transformers/issues/15231 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15231/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15231/comments | https://api.github.com/repos/huggingface/transformers/issues/15231/events | https://github.com/huggingface/transformers/pull/15231 | 1,108,264,796 | PR_kwDOCUB6oc4xRa4W | 15,231 | Fix PR number | {
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"Thank you for your PR! The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr... | 1,642 | 1,642 | 1,642 | MEMBER | null | Updates the reference to the environment variable to respect Github Actions' format. | {
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https://api.github.com/repos/huggingface/transformers/issues/15230 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15230/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15230/comments | https://api.github.com/repos/huggingface/transformers/issues/15230/events | https://github.com/huggingface/transformers/pull/15230 | 1,108,261,102 | PR_kwDOCUB6oc4xRaGo | 15,230 | Adds missing module_specs for usages of _LazyModule | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"😍 exactly what i need",
"I have just moved the test. I also have a local commit lying around that adds the module_spec to all occurences of the LazyModule, but I am not that sure on where to put the tests for that.\r\n\r\nLooking ... | 1,642 | 1,642 | 1,642 | CONTRIBUTOR | null | # What does this PR do?
This PR adds a missing `__spec__` to the `_LazyModule` instances of all models.
When a module is missing a spec it could not be imported via `importlib.import_module`, which is what [torchmetrics does](https://github.com/PyTorchLightning/metrics/blob/master/torchmetrics/utilities/imports.p... | {
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https://api.github.com/repos/huggingface/transformers/issues/15229 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15229/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15229/comments | https://api.github.com/repos/huggingface/transformers/issues/15229/events | https://github.com/huggingface/transformers/issues/15229 | 1,108,247,277 | I_kwDOCUB6oc5CDoLt | 15,229 | Is there any script for running RACE dataset? | {
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examples/multiple-choice/run_swag.py
is the script for running SWAG dataset, although readme says that a tweak of preprocess_function() should get things work for RACE dataset, but i still can not figure it out with this little information. is there any information about how to run RACE?
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"Thank you for your PR! The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_15228). All of your documentation changes will be reflected on that endpoint.",
"I was actually going to work on that :-)\r\nThanks for fixing! You can see the doc after your fix [here](https://moon-c... | 1,642 | 1,642 | 1,642 | CONTRIBUTOR | null | # What does this PR do?
<!--
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https://api.github.com/repos/huggingface/transformers/issues/15227 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15227/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15227/comments | https://api.github.com/repos/huggingface/transformers/issues/15227/events | https://github.com/huggingface/transformers/pull/15227 | 1,108,165,695 | PR_kwDOCUB6oc4xRGAt | 15,227 | [Speech Event] Fix speech event readme | {
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"Thank you for your PR! The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_$PR_NUMBER). All of your documentation changes will be reflected on that endpoint.",
"Thank you!",
"Great job merging this PR! the documentation will now be removed from the staging environment."
] | 1,642 | 1,642 | 1,642 | MEMBER | null | # What does this PR do?
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"Thank you for your PR! The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_$PR_NUMBER). All of your documentation changes will be reflected on that endpoint.",
"Great job merging this PR! the documentation will now be removed from the staging environment."
] | 1,642 | 1,642 | 1,642 | MEMBER | null | # What does this PR do?
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`TFFunnelTokenizer` should be changed to `FunnelTokenizer`. | {
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https://api.github.com/repos/huggingface/transformers/issues/15224 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15224/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15224/comments | https://api.github.com/repos/huggingface/transformers/issues/15224/events | https://github.com/huggingface/transformers/issues/15224 | 1,108,015,253 | I_kwDOCUB6oc5CCviV | 15,224 | Copy of the custom modeling file when saving a model | {
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"Yes, there are plans to couple this we the `AutoXxx.register` API so that when you register a new architecture, the custom code is copied to the right places when doing `save_pretrained`. I'm hoping to get to this by the end of the week.",
"This issue has been automatically marked as stale because it has not had... | 1,642 | 1,648 | 1,648 | NONE | null | Hi,
When using the dynamic code loading feature #13467 , the custom modeling file (eg: modeling.py) isn't copied into the folder when you save the model.
In this case, you have to manually copy the file to the folder to be able to reload the model from the checkpoint.
Code example:
```
from transformers impor... | {
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https://api.github.com/repos/huggingface/transformers/issues/15223 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15223/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15223/comments | https://api.github.com/repos/huggingface/transformers/issues/15223/events | https://github.com/huggingface/transformers/issues/15223 | 1,107,997,269 | I_kwDOCUB6oc5CCrJV | 15,223 | where is the 4.16.0dev?? | {
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"Hey! That's the current `master` version :)\r\n\r\nhttps://github.com/huggingface/transformers/blob/80f72960913ab6682451c33dfa8035ef0c932128/setup.py#L354",
"You can either clone the repo and install it locally, or install it with the following:\r\n```\r\npip install -U git+https://github.com/huggingface/transfo... | 1,642 | 1,645 | 1,645 | NONE | null | I'm running the run_mlm.py script.
There is such a line,
# Will error if the minimal version of Transformers is not installed. Remove at your own risks.
check_min_version("4.16.0.dev0")
but where is it?
can't find by pip,no in github too. | {
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https://api.github.com/repos/huggingface/transformers/issues/15222 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15222/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15222/comments | https://api.github.com/repos/huggingface/transformers/issues/15222/events | https://github.com/huggingface/transformers/issues/15222 | 1,107,975,147 | I_kwDOCUB6oc5CClvr | 15,222 | Is it possible to support Wav2Vec in ZeroShotClassificationPipeline? | {
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"Maybe of interest to @Narsil and @patrickvonplaten",
"Pretty cool idea! @mabu-dev do you know whether there is a research paper on it? For NLI zero-shot we have this paper: https://huggingface.co/facebook/bart-large-mnli#nli-based-zero-shot-text-classification",
"This issue has been automatically marked as sta... | 1,642 | 1,645 | 1,645 | NONE | null | Similar to the very helpful NLI-based zero-shot classification pipeline using a ModelForSequenceClassification, it would be great to have zero-shot on audio data.
Pass wav file(s) with candidate labels to the pipeline and get a prediction. Is this at all on the roadmap? | {
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"Great job merging this PR! the documentation will now be removed from the staging environment."
] | 1,642 | 1,642 | 1,642 | CONTRIBUTOR | null | # What does this PR do?
This PR:
- adds a link to a demo notebook for Facebook's MAE.
- fixes the links to the docs of various Vision Transformer-based models in ViT's doc page.
- fixes the code examples for MAE.
- adds MAE to the `AutoFeatureExtractor` API. | {
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https://api.github.com/repos/huggingface/transformers/issues/15220 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15220/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15220/comments | https://api.github.com/repos/huggingface/transformers/issues/15220/events | https://github.com/huggingface/transformers/issues/15220 | 1,107,943,582 | I_kwDOCUB6oc5CCeCe | 15,220 | Wav2vec code not working with kenlm n-gram | {
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"Hey @harveenchadha, \r\n\r\nCould you try to instead follow the steps of the official blog post: https://huggingface.co/blog/wav2vec2-with-ngram . It's more up-to-date and contains more in-detail information.",
"Hi, \r\nI created a processor with LM using my own data in Urdu Language. \r\nWhen decoding, I am get... | 1,642 | 1,646 | 1,646 | NONE | null | I followed all the steps listed in https://discuss.huggingface.co/t/how-to-create-wav2vec2-with-language-model/12703/7
to create LM but seems like I am getting no output at all. I tried to replicate all the steps listed for Hindi and failed.
Also I tried to run the Spanish repo as pointed out by @patrickvonplaten... | {
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https://api.github.com/repos/huggingface/transformers/issues/15219 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15219/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15219/comments | https://api.github.com/repos/huggingface/transformers/issues/15219/events | https://github.com/huggingface/transformers/pull/15219 | 1,107,911,597 | PR_kwDOCUB6oc4xQP1U | 15,219 | Make chuking smartly (long files) work on asr ctc_with_lm. | {
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"Great job merging this PR! the documentation will now be removed from the staging environment."
] | 1,642 | 1,642 | 1,642 | CONTRIBUTOR | null | # What does this PR do?
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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)... | 1,642 | 1,646 | 1,646 | NONE | null | https://github.com/huggingface/transformers/blob/05fa1a7ac17bb7aa07b9e0c1e138ecb31a28bbfe/src/transformers/models/mobilebert/modeling_mobilebert.py#L902
You Know that the mobilebert(student model) is distilled from IB-BERT(The Teacher Model), The MobileBertForPreTraining means IB-BERT PreTraining? | {
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https://api.github.com/repos/huggingface/transformers/issues/15217 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15217/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15217/comments | https://api.github.com/repos/huggingface/transformers/issues/15217/events | https://github.com/huggingface/transformers/issues/15217 | 1,107,776,628 | I_kwDOCUB6oc5CB1R0 | 15,217 | [ONNX] transformer.onnx exporting fails for longformer | {
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"Hi @RaedShabbir thank you for reporting this bug! It seems that this one slipped through our unit tests and it's not currently possible to export Longformer due to a limitation with the ops supported in JIT.\r\n\r\nWe plan to remove Longformer from the list of supported architectures for ONNX until a long-term sol... | 1,642 | 1,648 | 1,648 | NONE | null | ## Environment info
- `transformers` version: 4.16.0.dev0
- Platform: Linux-5.11.0-1024-gcp-x86_64-with-debian-bullseye-sid
- Python version: 3.7.11
- PyTorch version (GPU?): 1.10.1+cu102 (True)
- Tensorflow version (GPU?): 2.7.0 (True)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not ins... | {
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https://api.github.com/repos/huggingface/transformers/issues/15216 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15216/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15216/comments | https://api.github.com/repos/huggingface/transformers/issues/15216/events | https://github.com/huggingface/transformers/issues/15216 | 1,107,770,420 | I_kwDOCUB6oc5CBzw0 | 15,216 | DebertaForMaskedLM cannot load the parameters in the MLM head from microsoft/deberta-base | {
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"Pinging @BigBird01 on the issue",
"does someone know the answer?",
"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](... | 1,642 | 1,648 | 1,647 | NONE | null | my env:
```
transformers 4.15.0
```
```
from transformers import AutoModelForMaskedLM
model = AutoModelForMaskedLM.from_pretrained("microsoft/deberta-base")
```
The warning goes like:
```
Some weights of the model checkpoint at microsoft/deberta-base were not used when initializing DebertaForMasked... | {
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https://api.github.com/repos/huggingface/transformers/issues/15215 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15215/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15215/comments | https://api.github.com/repos/huggingface/transformers/issues/15215/events | https://github.com/huggingface/transformers/issues/15215 | 1,107,665,073 | I_kwDOCUB6oc5CBaCx | 15,215 | ALL YOUR BASE ARE BELONG TO 504. | {
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"\r\n",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues ... | 1,642 | 1,645 | 1,645 | NONE | null | <img width="1223" alt="image" src="https://user-images.githubusercontent.com/30382262/150070377-edb319a5-7c28-4478-ba8e-123aebc46499.png"> | {
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https://api.github.com/repos/huggingface/transformers/issues/15214 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15214/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15214/comments | https://api.github.com/repos/huggingface/transformers/issues/15214/events | https://github.com/huggingface/transformers/issues/15214 | 1,107,467,450 | I_kwDOCUB6oc5CApy6 | 15,214 | Add support for BERT SequenceClassification conversion to ONNX | {
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"I'm pretty sure `xxxForSequenceClassification` models are supported. You can read the updated docs [here](https://huggingface.co/docs/transformers/master/en/serialization).\r\n\r\nFor instance, you can convert one as follows:\r\n\r\n```\r\npython -m transformers.onnx --model=distilbert-base-uncased-finetuned-sst-2... | 1,642 | 1,642 | 1,642 | NONE | null | # 🚀 Feature request
Currently, the `SequenceClassification` pipeline is not supported for converting BERT-based models to ONNX. Support for this pipeline would be great.
## Motivation
As part of a recent internship, I needed to deploy a `SequenceClassification` `SciBERT` model by first converting it to ONNX a... | {
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https://api.github.com/repos/huggingface/transformers/issues/15213 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15213/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15213/comments | https://api.github.com/repos/huggingface/transformers/issues/15213/events | https://github.com/huggingface/transformers/pull/15213 | 1,107,431,592 | PR_kwDOCUB6oc4xOsg_ | 15,213 | [WIP] [doc] performance/scalability revamp | {
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"Hi @stas00 \r\n\r\nThanks for shaping the structure - this is looking great! I have been thinking about this a bit more and have a two main comments:\r\n- Not sure if you copy-pasted the subsections or if they are supposed to be like that. There is a lot of redundancy and I think if we e.g. explain mixed precision... | 1,642 | 1,651 | 1,645 | CONTRIBUTOR | null | @lvwerra and I are working on a massive performance/scalability docs revamp:
So the rough plan is to make custom plans for each of the combinations `[inference|training] * [1 gpu|many gpus|cpu]` so that it's very easy for the user to follow the instructions that are specific to their needs.
So the proposed doc la... | {
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https://api.github.com/repos/huggingface/transformers/issues/15212 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15212/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15212/comments | https://api.github.com/repos/huggingface/transformers/issues/15212/events | https://github.com/huggingface/transformers/issues/15212 | 1,107,230,096 | I_kwDOCUB6oc5B_v2Q | 15,212 | ValueError: transformers.models.auto.__spec__ is None. causing import errors | {
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"Having the same issue too! Exact same reproducible code + transformers version.",
"Same issue with `transformers 4.10.0, 4.10.2` and `pytorch-lightning 1.3.5`",
"I have the same issue :(",
"Installing `torchmetrics==0.6.2` helped in my case.",
"Seems like [this PR](https://github.com/huggingface/transform... | 1,642 | 1,642 | 1,642 | 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: Colaboratory
- Python version: 3.7.12
### Who can help
@LysandreJik
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https://api.github.com/repos/huggingface/transformers/issues/15211 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15211/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15211/comments | https://api.github.com/repos/huggingface/transformers/issues/15211/events | https://github.com/huggingface/transformers/pull/15211 | 1,107,205,809 | PR_kwDOCUB6oc4xN9ln | 15,211 | Add FastTokenizer to REALM | {
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This is a follow-up PR of https://github.com/huggingface/transformers/pull/13292#discussion_r786162541 and https://github.com/huggingface/transformers/pull/13292#discussion_r780749863.
This PR removes the `BertTokenizer` abstraction and adds a `FastTokenizer` to REALM.
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https://api.github.com/repos/huggingface/transformers/issues/15210 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15210/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15210/comments | https://api.github.com/repos/huggingface/transformers/issues/15210/events | https://github.com/huggingface/transformers/pull/15210 | 1,107,126,511 | PR_kwDOCUB6oc4xNtH9 | 15,210 | Build dev documentation | {
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"Thank you for your PR. The documentation will now be removed from the staging environment - feel free to reopen this PR to recreate it.",
"Thank you for your PR! The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_15110).\\n\\nAll of your documentation changes will be reflec... | 1,642 | 1,642 | 1,642 | MEMBER | null | null | {
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https://api.github.com/repos/huggingface/transformers/issues/15207 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15207/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15207/comments | https://api.github.com/repos/huggingface/transformers/issues/15207/events | https://github.com/huggingface/transformers/pull/15207 | 1,107,031,049 | PR_kwDOCUB6oc4xNZCm | 15,207 | Rename compute_loss in TF models | {
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https://api.github.com/repos/huggingface/transformers/issues/15206 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15206/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15206/comments | https://api.github.com/repos/huggingface/transformers/issues/15206/events | https://github.com/huggingface/transformers/issues/15206 | 1,107,030,571 | I_kwDOCUB6oc5B-_Ir | 15,206 | Different generations with the NLP model MarianMT of HuggingFace | {
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"for the notice, 58100 is the pad_id of the model\r\n",
"Hello, thanks for opening an issue! We try to keep the github issues for bugs/feature requests.\r\nCould you ask your question on the [forum](https://discuss.huggingface.co) instead?\r\n\r\nThanks!",
"This issue has been automatically marked as stale beca... | 1,642 | 1,646 | 1,646 | NONE | null | I'm trying to use the NLP model " MarianMT" from HuggingFace, and I want to use my own implementation of decoding (ex : Greedy Decoding). I compared my implementatin to Hugging Face implementation. (model.generate())
I implemented it; I checked the code 100 times and I don't know why I have different text generation... | {
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https://api.github.com/repos/huggingface/transformers/issues/15205 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15205/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15205/comments | https://api.github.com/repos/huggingface/transformers/issues/15205/events | https://github.com/huggingface/transformers/pull/15205 | 1,106,986,917 | PR_kwDOCUB6oc4xNPyd | 15,205 | Remove dependency to quiet Dependabot | {
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We are spammed by Dependabot alerts on this dependency, and there doesn't seem to be a version with a fix, so I'm suggesting removing it entirely. | {
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https://api.github.com/repos/huggingface/transformers/issues/15204 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15204/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15204/comments | https://api.github.com/repos/huggingface/transformers/issues/15204/events | https://github.com/huggingface/transformers/pull/15204 | 1,106,982,878 | PR_kwDOCUB6oc4xNO7w | 15,204 | Ignore empty subfolders when identifying submodules | {
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"Thanks for fixing!"
] | 1,642 | 1,642 | 1,642 | COLLABORATOR | null | # What does this PR do?
As point out by @NielsRogge, when someone has an empty subfolder with just pycache in them (after checking out a branch for instance), the new check in `check_inits` will fail. This PR addresses that. | {
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https://api.github.com/repos/huggingface/transformers/issues/15203 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15203/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15203/comments | https://api.github.com/repos/huggingface/transformers/issues/15203/events | https://github.com/huggingface/transformers/issues/15203 | 1,106,972,266 | I_kwDOCUB6oc5B-w5q | 15,203 | How can i add new_token ? | {
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"Hi,\r\n\r\nCan you please ask this question on our [forum](https://discuss.huggingface.co/) rather than here?\r\n\r\nWe'd like to keep Github issues for bugs/feature requests.\r\n\r\nThanks!"
] | 1,642 | 1,642 | 1,642 | NONE | null | null | {
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https://api.github.com/repos/huggingface/transformers/issues/15202 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15202/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15202/comments | https://api.github.com/repos/huggingface/transformers/issues/15202/events | https://github.com/huggingface/transformers/pull/15202 | 1,106,955,541 | PR_kwDOCUB6oc4xNJQX | 15,202 | Copies and docstring styling | {
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This PR makes the `check_copies` script a little bit more resilient by making sure it applies the styling on the docstrings when making/checking the copies. This will fixe issues like the one encountered in #15079 | {
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https://api.github.com/repos/huggingface/transformers/issues/15201 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15201/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15201/comments | https://api.github.com/repos/huggingface/transformers/issues/15201/events | https://github.com/huggingface/transformers/pull/15201 | 1,106,926,503 | PR_kwDOCUB6oc4xNDLx | 15,201 | [MBartTokenizer] remove dep on xlm-roberta tokenizer | {
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This PR makes `MBartTokenizer` and `MBartTokenizerFast` standalone and removes dependency on `XLMRobertaTokenizer` | {
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https://api.github.com/repos/huggingface/transformers/issues/15200 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15200/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15200/comments | https://api.github.com/repos/huggingface/transformers/issues/15200/events | https://github.com/huggingface/transformers/pull/15200 | 1,106,920,050 | PR_kwDOCUB6oc4xNB0_ | 15,200 | [ASR pipeline] correct with lm pipeline | {
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https://api.github.com/repos/huggingface/transformers/issues/15199 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15199/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15199/comments | https://api.github.com/repos/huggingface/transformers/issues/15199/events | https://github.com/huggingface/transformers/issues/15199 | 1,106,877,343 | I_kwDOCUB6oc5B-Zuf | 15,199 | GPT2: masked_bias should be sufficiently small instead of -1e4 | {
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"Hey @maxwellzh, this is a similar conversation to what was said here: https://github.com/huggingface/transformers/issues/14859\r\n\r\nThanks for raising this issue!",
"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 co... | 1,642 | 1,645 | 1,645 | NONE | null | See also #9594
My package build `transformers==4.12.3`.
Ideally for a causal language model, we should set it as -inf. Current setting -1e4 is not **small** enough. In my case, the model would learn to lower the attention weight of left context such that it could get the information of right context, which is ill... | {
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https://api.github.com/repos/huggingface/transformers/issues/15198 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15198/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15198/comments | https://api.github.com/repos/huggingface/transformers/issues/15198/events | https://github.com/huggingface/transformers/pull/15198 | 1,106,785,626 | PR_kwDOCUB6oc4xMlQ6 | 15,198 | [examples/Flax] add a section about GPUs | {
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This PR adds a section in the flax readme on how to run the example scripts on GPU and links JAX's GPU installation guide. | {
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https://api.github.com/repos/huggingface/transformers/issues/15197 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15197/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15197/comments | https://api.github.com/repos/huggingface/transformers/issues/15197/events | https://github.com/huggingface/transformers/issues/15197 | 1,106,771,434 | I_kwDOCUB6oc5B9_3q | 15,197 | Question about fine-tuning BeitForSemanticSegmentation model | {
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"Hi,\r\n\r\nYou can take a look at this notebook: https://github.com/NielsRogge/Transformers-Tutorials/blob/master/SegFormer/Fine_tune_SegFormer_on_custom_dataset.ipynb\r\n\r\nIt shows how to fine-tune SegFormer on a custom dataset (BeiT is equivalent), and it also outputs logits of shape (batch_size, num_labels, h... | 1,642 | 1,642 | 1,642 | NONE | null | From the documentation, it says that the logits shape will be (batch_size, num_labels, height/4, width/4)
I assume that the logits are the output masks of the model (since I'm doing the segmentation).
How do I convert this shape (height /4, width /4) to the original image's shape before being resized to (height, wid... | {
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https://api.github.com/repos/huggingface/transformers/issues/15196 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15196/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15196/comments | https://api.github.com/repos/huggingface/transformers/issues/15196/events | https://github.com/huggingface/transformers/issues/15196 | 1,106,769,114 | I_kwDOCUB6oc5B9_Ta | 15,196 | Wav2Vec2ForCTC fine-tuning best practices | {
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"Hey @stefan-falk, \r\n\r\nTo answer your questions above:\r\n\r\n> Q: Should we use subwords instead of characters in the vocabulary?\r\n> Subwords appear to work great for Transformer-models but I am not sure what the best practice is here with a CTC model.\r\n\r\nYou can try, but I don't recommend to do it. The ... | 1,642 | 1,646 | 1,646 | NONE | null | I have started to train models based on [this tutorial](https://huggingface.co/blog/fine-tune-wav2vec2-english) (thanks to @patrickvonplaten) and so far everything works.
> Note: The model I am fine-tuning here is the [`facebook/wav2vec-base`](https://huggingface.co/facebook/wav2vec2-base) model as I am targeting m... | {
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https://api.github.com/repos/huggingface/transformers/issues/15195 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15195/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15195/comments | https://api.github.com/repos/huggingface/transformers/issues/15195/events | https://github.com/huggingface/transformers/issues/15195 | 1,106,752,094 | I_kwDOCUB6oc5B97Je | 15,195 | Tensorboard missing values | {
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"That's strange @severo do you maybe have any idea?",
"BTW, @stefan-falk feel free to share a link to your training repo here if the 30% WER seems to high for you. There are some hidden tricks on how to evaluate and train wav2vec2-base, *e.g.* https://github.com/pytorch/fairseq/issues/3227",
"No idea. @stefan-f... | 1,642 | 1,648 | 1,648 | NONE | null | ## Environment info
- `transformers` version: 4.12.5
- Platform: Ubuntu 18
- Python version: 3.8
### Who can help
Models:
- Wav2Vec2 @patrickvonplaten @anton-l
## Information
Model I am using is Wav2Vec2ForCTC and it is regarding the eval/loss in Tensorboard.
For some (most) of my experiments I'd no... | {
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"The export for `seq2seq-lm` and `seq2seq-lm-with-past` is failing due to \r\n```\r\nRuntimeError: Exporting model exceed maximum protobuf size of 2GB. Please call torch.onnx.export without setting use_external_data_format parameter.\r\n```\r\nThe `OnnxConfig.use_external_data_format` finds that the size is ok... w... | 1,642 | 1,646 | 1,646 | MEMBER | null | # What does this PR do?
Enable ONNX export for M2M100 models for the following tasks:
- default
- default-with-past
- seq2seq-lm
- seq2seq-lm-with-past
Related issue: #15060 | {
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https://api.github.com/repos/huggingface/transformers/issues/15192 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15192/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15192/comments | https://api.github.com/repos/huggingface/transformers/issues/15192/events | https://github.com/huggingface/transformers/issues/15192 | 1,106,473,687 | I_kwDOCUB6oc5B83LX | 15,192 | Question about fine-tuning with vision transformer (VIT) | {
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"Hi,\r\n\r\nYou can easily disable parameters which you don't want to train with requires_grad=False:\r\n\r\n```\r\nfrom transformers import ViTForImageClassification\r\n\r\nmodel = ViTForImageClassification.from_pretrained(\"google/vit-base-patch16-224-in21k\")\r\n\r\nfor name, param in model.named_parameters():\r... | 1,642 | 1,642 | 1,642 | NONE | null | Thanks for sharing great work!
I have a simple question about fine-tuning with VIT.
Is there any option for selecting trainable weight during fine-tuning phase? Or can I only train all weight? | {
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https://api.github.com/repos/huggingface/transformers/issues/15191 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15191/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15191/comments | https://api.github.com/repos/huggingface/transformers/issues/15191/events | https://github.com/huggingface/transformers/issues/15191 | 1,106,449,286 | I_kwDOCUB6oc5B8xOG | 15,191 | can't set gradient_checkpointing=True when using the DistributedDataParallel mode | {
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"You need to have `dpp_find_unused_parameters=False` when using `gradient_checkpointing=True`.",
"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... | 1,642 | 1,645 | 1,645 | 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: 2GPU-V100 with 16GB
- Python version: 3.6.8
- PyTorch version (GPU?): 1.10.1+cu102
- Ten... | {
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https://api.github.com/repos/huggingface/transformers/issues/15190 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15190/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15190/comments | https://api.github.com/repos/huggingface/transformers/issues/15190/events | https://github.com/huggingface/transformers/issues/15190 | 1,106,364,207 | I_kwDOCUB6oc5B8ccv | 15,190 | `AutoConfig` doesn't support `gpt-neox` | {
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"@patil-suraj I found the problem in my code. Because I defined the `gpt-neox` model by my own custom class, of course, `transformers` couldn't recognize it! My apologies! I will close this issue. "
] | 1,642 | 1,642 | 1,642 | NONE | null | @patil-suraj
## 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: v4.11.3
- Platform: Macbook (CPU)
- Python version: 3.8.10
- PyTorch version (GPU?): 1.10.0(CP... | {
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https://api.github.com/repos/huggingface/transformers/issues/15189 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15189/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15189/comments | https://api.github.com/repos/huggingface/transformers/issues/15189/events | https://github.com/huggingface/transformers/issues/15189 | 1,106,345,148 | I_kwDOCUB6oc5B8Xy8 | 15,189 | run_t5_mlm_flax.py Multi GPU Training | {
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"Hey @ToluClassics,\r\n\r\nCould you please open an issue on https://github.com/google/jax as your problem does not seem to be related to Transformers",
"@ToluClassics @patrickvonplaten @patil-suraj @sgugger \r\nI also have the same issue with the exact same script.\r\n\r\nHow is it resolved finally?\r\nHow can I... | 1,642 | 1,680 | 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: 4.15.0
- Platform: Ubuntu
- Python version: Python 3.9.9
- PyTorch version (GPU?): 1.10.1
### Who can he... | {
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https://api.github.com/repos/huggingface/transformers/issues/15188 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15188/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15188/comments | https://api.github.com/repos/huggingface/transformers/issues/15188/events | https://github.com/huggingface/transformers/pull/15188 | 1,106,212,094 | PR_kwDOCUB6oc4xKu1G | 15,188 | Mark bad tokenizers version | {
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"Errors come from Hub connection errors, so merging."
] | 1,642 | 1,642 | 1,642 | COLLABORATOR | null | # What does this PR do?
Last release of tokenizers breaks many tests, this makes sure the bad version is not installed. | {
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https://api.github.com/repos/huggingface/transformers/issues/15187 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15187/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15187/comments | https://api.github.com/repos/huggingface/transformers/issues/15187/events | https://github.com/huggingface/transformers/pull/15187 | 1,106,207,888 | PR_kwDOCUB6oc4xKt-e | 15,187 | [Fix doc example] TFRagModel | {
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Fix some doc examples in TFRagModel, e.g. missing/wrong import, wrong class name, missing real checkpoint name, etc.
## Who can review?
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https://api.github.com/repos/huggingface/transformers/issues/15186 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15186/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15186/comments | https://api.github.com/repos/huggingface/transformers/issues/15186/events | https://github.com/huggingface/transformers/pull/15186 | 1,106,190,897 | PR_kwDOCUB6oc4xKqbh | 15,186 | Error when code examples are improperly closed | {
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When an MDX file has a code sample that is not properly closed, the doc styler ends up removing part of that file. This PR addresses that problem by raising an error before the file is overwritten, so the user knows what's wrong and can fix it. | {
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https://api.github.com/repos/huggingface/transformers/issues/15185 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15185/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15185/comments | https://api.github.com/repos/huggingface/transformers/issues/15185/events | https://github.com/huggingface/transformers/issues/15185 | 1,106,119,603 | I_kwDOCUB6oc5B7guz | 15,185 | Longformer Set Global Attention Layers Non-Trainable | {
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"Hi @MarkWijkhuizen! Thank you for your input. \r\n\r\nIf you have the time, I'd like to encourage you to open a PR with the change. Otherwise, no worries, let us know (and, if possible, give us more pointers -- e.g., a reference to the paragraph in the paper where they mention this part of the training regime) 🤗 ... | 1,642 | 1,645 | 1,645 | NONE | null | # 🚀 Feature request
Tensorflow Longformer model set global attention layers non-trainable.
## Motivation
During training global attention is not used giving zero gradients for all global attention weights. Setting the global attention layers to non-trainable will decrease training time and reduce memory consu... | {
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https://api.github.com/repos/huggingface/transformers/issues/15184 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15184/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15184/comments | https://api.github.com/repos/huggingface/transformers/issues/15184/events | https://github.com/huggingface/transformers/pull/15184 | 1,106,084,147 | PR_kwDOCUB6oc4xKUBA | 15,184 | [doc] new MoE paper | {
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https://api.github.com/repos/huggingface/transformers/issues/15183 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15183/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15183/comments | https://api.github.com/repos/huggingface/transformers/issues/15183/events | https://github.com/huggingface/transformers/issues/15183 | 1,106,038,138 | I_kwDOCUB6oc5B7M16 | 15,183 | ValueError When Padding Long Sequences To Small Max Length (Pytorch and Tensorflow) | {
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"I'm not sure where the bug is: you want to pad sequences to a length lower than the maximum length of your two sentences. The tokenizer does that but you end up with two sentences of different length (the smallest one has been padded to 8 tokens and the longest one is longer) so it's not possible to batch them tog... | 1,642 | 1,705 | 1,642 | 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: Linux-5.4.144+-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/15182 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15182/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15182/comments | https://api.github.com/repos/huggingface/transformers/issues/15182/events | https://github.com/huggingface/transformers/pull/15182 | 1,106,007,529 | PR_kwDOCUB6oc4xKD_d | 15,182 | Fix incorrect max_seq_length bug in pytorch training scripts | {
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"As said on the linked issue, this should not be changed."
] | 1,642 | 1,642 | 1,642 | CONTRIBUTOR | null | # What does this PR do?
Fixes #15181
Input sequences are not correctly truncated to the correct length in the `run_mlm.py` script. Even if a model can support large sequence lengths (such as 1024 or 2048), the sequences are truncated to the tokenizer's default `model_max_length`. This bug is described [here](htt... | {
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https://api.github.com/repos/huggingface/transformers/issues/15181 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15181/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15181/comments | https://api.github.com/repos/huggingface/transformers/issues/15181/events | https://github.com/huggingface/transformers/issues/15181 | 1,106,006,801 | I_kwDOCUB6oc5B7FMR | 15,181 | Bug with max_seq_length argument in training scripts | {
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"No, the tokenizer used should be manually fixed if its maximum length is incorrect, but we shouldn't change that part of the script. This is not a bug, but a desired feature, as the corresponding pretrained model will not work with a greater maximum length.\r\n\r\nYou can always change the example script (which ar... | 1,642 | 1,642 | 1,642 | CONTRIBUTOR | null | Hello, I am trying to train Nystromformer for Masked Language Modeling with a sequence length of 1024 using the [run_mlm.py](https://github.com/huggingface/transformers/blob/master/examples/pytorch/language-modeling/run_mlm.py) script. As, I understand it, the `max_seq_length` argument of the script controls the maximu... | {
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https://api.github.com/repos/huggingface/transformers/issues/15180 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15180/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15180/comments | https://api.github.com/repos/huggingface/transformers/issues/15180/events | https://github.com/huggingface/transformers/pull/15180 | 1,105,902,411 | PR_kwDOCUB6oc4xJtuQ | 15,180 | Fix deprecation warnings for int div | {
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# What does this PR do?
This PR fixes the int div warnings by using the new API in PyTorch for versions >= 1.8 all the while keeping backward compatibility with older versions.
Supersedes #14577 | {
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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)... | 1,642 | 1,697 | 1,645 | CONTRIBUTOR | null | On [the model card for MiniLM-L6](https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2) it says
> By default, input text longer than 256 word pieces is truncated.
However, looking at the model and tokenizer
```model = AutoModel.from_pretrained("sentence-transformers/all-MiniLM-L6-v2")```
It seems to ... | {
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https://api.github.com/repos/huggingface/transformers/issues/15178 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15178/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15178/comments | https://api.github.com/repos/huggingface/transformers/issues/15178/events | https://github.com/huggingface/transformers/pull/15178 | 1,105,840,970 | PR_kwDOCUB6oc4xJgqp | 15,178 | Fix dtype issue in TF BART | {
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https://api.github.com/repos/huggingface/transformers/issues/15177 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15177/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15177/comments | https://api.github.com/repos/huggingface/transformers/issues/15177/events | https://github.com/huggingface/transformers/issues/15177 | 1,105,823,905 | I_kwDOCUB6oc5B6Yih | 15,177 | processing texts longer than 512 tokens with token-classification pipeline | {
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"Hi @oliverguhr ,\r\n\r\nSo this specific pipelines truncates by default, and changing that would mean a breaking change.\r\n\r\nThe problem with \"chunking\" on this pipeline is that models usually need context before and after a token to get proper context to get a useful classification.\r\nThat means, than in or... | 1,642 | 1,669 | 1,645 | CONTRIBUTOR | null | # 🚀 Feature request
Currently, the token-classification pipeline truncates input texts longer than 512 tokens.
It would be great if the pipeline could process texts of any length.
## Motivation
This issue is a result of this feature request:
huggingface/hub-docs#11
As suggested I am tagging @Narsil here... | {
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https://api.github.com/repos/huggingface/transformers/issues/15176 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15176/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15176/comments | https://api.github.com/repos/huggingface/transformers/issues/15176/events | https://github.com/huggingface/transformers/issues/15176 | 1,105,738,823 | I_kwDOCUB6oc5B6DxH | 15,176 | Bug in seq2seq fine tuning section of Automatic Speech Recognition Examples | {
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"Thanks for reporting this. It should be fixed soon: https://github.com/huggingface/transformers/pull/15056 . I'll make sure to speed-up the process now - sorry for being so late on this.",
"No worries! Thanks for the prompt resolution"
] | 1,642 | 1,642 | 1,642 | NONE | null | ## Environment info
- `transformers` version: 4.16.0.dev0
- Platform: Linux-5.4.144+-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.7.12
- PyTorch version (GPU?): 1.10.0+cu111 (True)
- Tensorflow version (GPU?): 2.7.0 (True)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not installed
-... | {
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https://api.github.com/repos/huggingface/transformers/issues/15175 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15175/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15175/comments | https://api.github.com/repos/huggingface/transformers/issues/15175/events | https://github.com/huggingface/transformers/pull/15175 | 1,105,545,270 | PR_kwDOCUB6oc4xIho7 | 15,175 | Compute loss independent from decoder for TF EncDec models (as #14139) | {
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Apply the same change in #14139 to TF Encoder-Decoder like models.
(As discussed in [this comment in 14148](https://github.com/huggingface/transformers/pull/14148#discussion_r780361117))
@NielsRogge & @patrickvonplaten knows better the context
@gante @Rocketknight1 for TF | {
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"@christiancosgrove Do you mind sharing the bug you are trying to fix ?\r\n\r\nWhat you are trying to fix should be handled here: https://github.com/huggingface/transformers/blob/master/src/transformers/generation_stopping_criteria.py#L113",
"This issue has been automatically marked as stale because it has not ha... | 1,642 | 1,645 | 1,645 | NONE | null | If multiple stopping criteria are used, the current logic will break. | {
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"I've [implemented](https://github.com/woflowinc/transformers/tree/add-layoutlmv2-re) the requested changes, but I'm not sure how to contribute to this PR from here.",
"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 co... | 1,642 | 1,650 | 1,648 | NONE | null | # What does this PR do?
Add class LayoutLMv2ForRelationExtraction which in https://github.com/microsoft/unilm/tree/master/layoutlmft | {
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"@NielsRogge Could you take a look whenever you have sometime? Or tag another person if you think more properly. Thanks!",
"@NielsRogge - would be amazing if you could wait a day or so here so that I can quickly take a look as well before merging :-)"
] | 1,642 | 1,643 | 1,643 | COLLABORATOR | null | # What does this PR do?
Fix encoder-decoder models when labels is passed and `return_dict` is `False`.
## Details
This line
https://github.com/huggingface/transformers/blob/669e3c50c98ad5b506555a551d2ecbf72ceb3c99/src/transformers/models/encoder_decoder/modeling_encoder_decoder.py#L526
fails when `label... | {
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"What is `run_glue_sparse.py`?",
"> What is `run_glue_sparse.py`?\r\n\r\nHello, we just implement our Sparse Attention by deepspeed in run_glue.py. You can just think it as run_glue.py.",
"Without knowing the model you are using and the script you are using, we can't reproduce the bug and cannot help.",
"> Wi... | 1,642 | 1,643 | 1,643 | NONE | null | ## Environment info
- `transformers` version: 4.4.0
- Platform: Linux-4.4.0-142-generic-x86_64-with-glibc2.10
- Python version: 3.8.5
- PyTorch version (GPU?): 1.9.0 (True)
- Tensorflow version (GPU?): 2.6.0 (False)
- Using GPU in script?: <fill in>
- Using distributed or parallel set-up in script?: <fill in>
... | {
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https://api.github.com/repos/huggingface/transformers/issues/15170 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15170/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15170/comments | https://api.github.com/repos/huggingface/transformers/issues/15170/events | https://github.com/huggingface/transformers/issues/15170 | 1,104,960,757 | I_kwDOCUB6oc5B3Fz1 | 15,170 | Using the accelerate MLM example still results in CUDA out of memory | {
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"Hi,\r\n\r\nCan you try out this: https://github.com/rentruewang/koila\r\n\r\nLet me know if it resolves your issue.",
"koila didn't work for me. I basically had to use a p3.24 instance to get it to work with a batch size of 1."
] | 1,642 | 1,642 | 1,642 | NONE | null | Hi,
I am using [this example](https://github.com/huggingface/transformers/blob/master/examples/pytorch/language-modeling/run_mlm_no_trainer.py) and instructions on [this discussion](https://discuss.huggingface.co/t/how-to-use-specified-gpus-with-accelerator-to-train-the-model/10967) to adapt the code from [run_summari... | {
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https://api.github.com/repos/huggingface/transformers/issues/15169 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15169/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15169/comments | https://api.github.com/repos/huggingface/transformers/issues/15169/events | https://github.com/huggingface/transformers/issues/15169 | 1,104,942,437 | I_kwDOCUB6oc5B3BVl | 15,169 | model.generate with prefix_allowed_tokens_fn throws RuntimeError: probability tensor contains either `inf`, `nan` or element < 0 | {
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"@patrickvonplaten Pinging you to get your input on this.\r\n\r\nIt seems `-inf` are explicitely set by `prefix_allowed_tokens_fn` and `remove_invalid_values` **doesn't** remove `float(-inf)` specifically.\r\n\r\nHowever the script does seems to fail currently.\r\n\r\nI added a PR containing the \"fix\" to accelera... | 1,642 | 1,707 | 1,647 | 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: Linux-5.4.0-90-generic-x86_64-with-debian-bullseye-sid
- Python version: 3.7.12
- PyTorch... | {
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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)... | 1,642 | 1,645 | 1,645 | NONE | null | # 🚀 Feature request
What about adding an Interpretability Module like integrating the captum with hugging face, because there are a lot of difficulties when trying to use captum with hugging face transformer models
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https://api.github.com/repos/huggingface/transformers/issues/15167 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15167/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15167/comments | https://api.github.com/repos/huggingface/transformers/issues/15167/events | https://github.com/huggingface/transformers/pull/15167 | 1,104,242,342 | PR_kwDOCUB6oc4xEP9x | 15,167 | Enable tqdm toggling | {
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"1. In `datasets`, `tqdm_utils.py` functions are exposed at the upper level via imports in `__init__.py` ([link](https://github.com/huggingface/datasets/blob/ccc28d4141006924af85c2d940d82d71da4c6ec0/src/datasets/utils/__init__.py#L41)). It seems that this is not the case with utility functions in `transformers`. Do... | 1,642 | 1,642 | 1,642 | CONTRIBUTOR | null | # What does this PR do?
Fixes https://github.com/huggingface/transformers/issues/14889.
## 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/ma... | {
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"This thread is a summary of some details discussed in today's meeting with Patrick and Anton.\r\n\r\n- Ideally, use weights from [DiffSinger](https://github.com/MoonInTheRiver/DiffSinger), as it is the best approximation of the original implementation currently available\r\n- Check inference results\r\n- Compare w... | 1,642 | 1,645 | null | CONTRIBUTOR | null | # 🌟 New model addition
## Model description
FastSpeech2 is a TTS model that outputs mel-spectrograms given some input text. From the [paper](https://arxiv.org/abs/2006.04558) abstract:
> Non-autoregressive text to speech (TTS) models such as FastSpeech can synthesize speech significantly faster than previous ... | {
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"Thanks for the feedback y'all! I've also made a few additional changes:\r\n\r\n- Rewrite multimodal tutorial with a different dataset (LJ Speech) because we can't use TIMIT.\r\n- Add output image for preprocessed image so users can see what it looks like.\r\n\r\nLet me know if there is anything else you'd like to ... | 1,642 | 1,643 | 1,643 | MEMBER | null | This is a first draft of tutorial docs for the `pipeline`, `AutoClasses`, and how to preprocess data. Main updates include:
- How to use the `pipeline` for image and vision tasks.
- Highlight the `AutoFeatureExtractor` and `AutoProcessor` for image, vision and multimodal tasks.
- Add tutorials for how to preproces... | {
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https://api.github.com/repos/huggingface/transformers/issues/15164 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15164/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15164/comments | https://api.github.com/repos/huggingface/transformers/issues/15164/events | https://github.com/huggingface/transformers/pull/15164 | 1,103,993,891 | PR_kwDOCUB6oc4xDcyG | 15,164 | [WIP] add ctc speech streaming | {
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"What's missing here ? Anything you could take some support?",
"superseded by https://github.com/huggingface/transformers/pull/15309 "
] | 1,642 | 1,643 | 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.
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<!--
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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/15162 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15162/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15162/comments | https://api.github.com/repos/huggingface/transformers/issues/15162/events | https://github.com/huggingface/transformers/pull/15162 | 1,103,912,924 | PR_kwDOCUB6oc4xDLp2 | 15,162 | Update from keras2onnx to tf2onnx | {
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[keras2onnx](https://github.com/onnx/keras-onnx) has been dead for a while, with the development being made in [tf2onnx](https://github.com/onnx/tensorflow-onnx/tree/6c417b4210285208ba7165068318542d9e3d9656). It is the successor, yet also retrocompatible.
In fact, our tests were failing ri... | {
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https://api.github.com/repos/huggingface/transformers/issues/15161 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15161/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15161/comments | https://api.github.com/repos/huggingface/transformers/issues/15161/events | https://github.com/huggingface/transformers/issues/15161 | 1,103,825,669 | I_kwDOCUB6oc5BywsF | 15,161 | Add in `model.generate` support to encoder outputs for flax models | {
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"Hey @borisdayma, \r\n\r\nAren't we already doing this here: https://github.com/huggingface/transformers/blob/b8810847d0576e3c142854ad3b8a607ecd3df291/src/transformers/generation_flax_utils.py#L140 ? ",
"If you do:\r\n```python\r\nmodel.generate(…)\r\nmodel.generate(…) #same params\r\n```\r\n\r\nYou will get twi... | 1,642 | 1,644 | 1,644 | CONTRIBUTOR | 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. -->
Add support to encoder outputs in `model.generate` for flax models (similar to Pytorch models).
## Motivation
<!-- Please outline the motivation for the ... | {
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