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https://api.github.com/repos/huggingface/transformers/issues/17171 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17171/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17171/comments | https://api.github.com/repos/huggingface/transformers/issues/17171/events | https://github.com/huggingface/transformers/pull/17171 | 1,231,989,236 | PR_kwDOCUB6oc43nolt | 17,171 | Mlflowcallback fix nonetype error | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@sgugger can this be merged or is anything else needed?",
"I probably was waiting for the tests to pass and it disappeared from my notifications. Thanks for the ping!"
] | 1,652 | 1,652 | 1,652 | CONTRIBUTOR | null | # What does this PR do?
This PR fix some edge case error / race conditions with the garbage collector due to the use of a `__del__` finalizer in the MLflowCallback.
In some case, the following error may occur at the end of a script execution:
```
Exception ignored in: <function MLflowCallback.__del__ at 0x7f5ad... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_17170). All of your documentation changes will be reflected on that endpoint.",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please... | 1,652 | 1,655 | 1,655 | NONE | null | Addition of a progress bar to the evaluation loop
# 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/main/CONTRIBUTING.md) a... | 1,652 | 1,703 | 1,655 | NONE | null | ### System Info
```shell
Hi, I am trying to use the esm model for protein sequence embeddings on Colab notebook:
1) I installed transformers with torch
!pip install transformers[torch]
2) Follow the example here: https://huggingface.co/facebook/esm-1b
from transformers import ESMForMaskedLM, ESMTokenizer
toke... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@sgugger @ydshieh Sorry for the late response and thank you for reviewing! Just made the changes addressing all the comments here.",
"Thanks for this PR - although the update in the docs doesn't seem correct to me.",
"@NielsRogge... | 1,652 | 1,653 | 1,653 | CONTRIBUTOR | null | # What does this PR do?
Ready for Review now.
Issue #16292
Add correct doctests for LayoutLMv2
Note: LayoutLMv2 depends on `detectron2`, `torchvision` and `tesseract`; passing doctests requires their installation. I documented this in the docstring.
## Who can review?
@patrickvonplaten @ydshieh ... | {
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"Hi,\r\n\r\nIt's not possible to plug in a custom tokenizer into `LayoutLMv2Processor`, as `LayoutLMv2Tokenizer` was designed specifically to handle bounding boxes.\r\n\r\nIf you plan to use a custom tokenizer, then it means that you need to handle addition of special tokens, padding/truncation yourself, which is a... | 1,652 | 1,652 | 1,652 | NONE | null | Hi, I’m a beginner in Transformers huggingface.
I wonder How to change the text embedding models in LayoutLMv2(original to KoBERT)
I used those model by huggingface, so I used each of processor for LayoutLMv2, LayoutXLM.
I think i need to change the text tokenizer for data loading, and change the text encoding wei... | {
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"cc @sgugger ",
"_The documentation is not available anymore as the PR was closed or merged._",
"Ah, yeah, we don't need to check whether it's an iterable dataset! Let me fix that"
] | 1,652 | 1,652 | 1,652 | CONTRIBUTOR | null | # What does this PR do?
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"@leondz can I work on this issue?\r\n"
] | 1,652 | 1,673 | null | CONTRIBUTOR | null | ### Model description
This issue proposes addition of the Set Transformer, a set2seq transformer for learning to order sets of items.
## Short description of the model and link to the paper
The transformer is one of a family of models that implements permutation invariance in order to learn ordering relations. ... | {
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] | 1,652 | 1,652 | 1,652 | CONTRIBUTOR | null | Forgot to commit a new config file in https://github.com/huggingface/transformers/pull/12695
This PR is fixing it | {
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During the revamp of all model inits, a typo stayed in the model templates init, which results in the model templates test failing. This PR fixes that. | {
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```python
batch_sentences = [
"But what about second breakfast?",
"Don't think he knows about second breakfast, Pip.",
"What about elevensie... | {
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https://api.github.com/repos/huggingface/transformers/issues/17160 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17160/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17160/comments | https://api.github.com/repos/huggingface/transformers/issues/17160/events | https://github.com/huggingface/transformers/pull/17160 | 1,231,227,750 | PR_kwDOCUB6oc43lJjJ | 17,160 | Add magic method to our TF models to convert datasets with column inference | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Hey all, this is the method in `transformers` that I moved all the column inference code to! I also need some advice:\r\n\r\n- How do we handle an input type of `Dataset` when `datasets` may not be installed?\r\n- Should this be move... | 1,652 | 1,654 | 1,654 | MEMBER | null | Left to do:
- [x] Add docstring
- [x] Figure out what type to set for `dataset` (since `datasets` isn't imported)
- [x] Set default values for `batch_size` / `shuffle`?
- [x] Do we need to document this anywhere besides the docstring?
- [x] Anything else I forgot? (Reviewers please yell at me) | {
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https://api.github.com/repos/huggingface/transformers/issues/17159 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17159/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17159/comments | https://api.github.com/repos/huggingface/transformers/issues/17159/events | https://github.com/huggingface/transformers/issues/17159 | 1,231,215,505 | I_kwDOCUB6oc5JYtuR | 17,159 | Mismatching between sequences and scores in beam_search | {
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"@rafikg The same problem. Take a look at the example for funtion beam_search, it seems that input_ids's shape is (num_beams, sequence_length) rather than documented (batch_size, sequence_length). \r\nMoreover, traces beam_search -> BeamSearchScorer -> BeamHypotheses(https://github.com/huggingface/transformers/blob... | 1,652 | 1,655 | 1,655 | NONE | null | https://github.com/huggingface/transformers/blob/6d80c92c77593dc674052b5a46431902e6adfe88/src/transformers/generation_beam_search.py#L88
Here are two problem:
1. Output of beam_search() and generate() are not the same.
2. Mismatch between sequences and scores in beam_search.
```
import torch
impo... | {
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https://api.github.com/repos/huggingface/transformers/issues/17158 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17158/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17158/comments | https://api.github.com/repos/huggingface/transformers/issues/17158/events | https://github.com/huggingface/transformers/pull/17158 | 1,231,143,967 | PR_kwDOCUB6oc43k3R7 | 17,158 | Guide to create custom models in Spanish | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thanks for the suggestions, I've committed all the changes you proposed.",
"@ignacioct muchas gracias por tu PR! 🤗 Vamos a hacerle merge. If there is any other doc that you would like to translate you can tell me. \r\n\r\n@sgugger... | 1,652 | 1,652 | 1,652 | CONTRIBUTOR | null | # What does this PR do?
<!--
This PR translates the guide on h[ow to create custom models](https://github.com/huggingface/transformers/blob/main/docs/source/en/create_a_model.mdx) to the Spanish language, as talked in #15947 .
-->
Linked to #15947
## Before submitting
- [X ] This PR fixes a typo or impr... | {
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https://api.github.com/repos/huggingface/transformers/issues/17157 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17157/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17157/comments | https://api.github.com/repos/huggingface/transformers/issues/17157/events | https://github.com/huggingface/transformers/issues/17157 | 1,230,943,661 | I_kwDOCUB6oc5JXrWt | 17,157 | [Trainer]: Resume training not consistent with large effective batch size | {
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"I don't see exactly what fails at the top of my mind for this degenerate case, but I won't investigate this anytime soon as I have more pressing items on my TODO (like fixing bugs that happen in real life ;-) ).",
"Thanks @sgugger for the prompt response. I did some debugging and found a possible cause and fix. ... | 1,652 | 1,655 | 1,655 | NONE | null | ### System Info
```shell
- `transformers` version: 4.19.0.dev0
- Platform: Linux-5.15.37-1-lts-x86_64-with-glibc2.33
- Python version: 3.8.12
- Huggingface_hub version: 0.5.1
- PyTorch version (GPU?): 1.11.0+cu102 (False)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not ins... | {
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https://api.github.com/repos/huggingface/transformers/issues/17156 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17156/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17156/comments | https://api.github.com/repos/huggingface/transformers/issues/17156/events | https://github.com/huggingface/transformers/pull/17156 | 1,230,880,677 | PR_kwDOCUB6oc43j_LO | 17,156 | Train args defaulting None marked as Optional | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,652 | 1,652 | 1,652 | CONTRIBUTOR | null | # What does this PR do?
Fixes https://github.com/huggingface/transformers/issues/16701 by marking every `TrainingArguments` argument `Optional` if it currently defaults to `None`. Other applications which depend on static type hinting will no longer be confused by arguments defaulting to `None` although their declar... | {
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https://api.github.com/repos/huggingface/transformers/issues/17155 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17155/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17155/comments | https://api.github.com/repos/huggingface/transformers/issues/17155/events | https://github.com/huggingface/transformers/pull/17155 | 1,230,743,628 | PR_kwDOCUB6oc43jihw | 17,155 | Fix typo of variable names for key and query projection layer | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,652 | 1,654 | 1,654 | CONTRIBUTOR | null | self.pos_proj and self.pos_q_proj should be changed to self.pos_key_proj and self.pos_query_proj as same as PyTorch implements.
# What does this PR do?
Fix typo of the variable names in DeBERTaV2
| {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,652 | 1,652 | 1,652 | CONTRIBUTOR | null | # What does this PR do?
<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
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"_The documentation is not available anymore as the PR was closed or merged._",
"This may be more [optimum](https://github.com/huggingface/optimum/)'s domain than Transformers, what do you think @mfuntowicz @LysandreJik @lewtun ?",
"> This may be more [optimum](https://github.com/huggingface/optimum/)'s domain ... | 1,652 | 1,655 | 1,655 | CONTRIBUTOR | null | # What does this PR do?
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"I found the error raised at the disentangled_att_bias function,\r\nespecially when trying to calculate the disentangled attention bias score.\r\nhttps://github.com/huggingface/transformers/blob/v4.18.0/src/transformers/models/deberta/modeling_tf_deberta.py#L683",
"The suspect is the take_along_axis function\r\nh... | 1,652 | 1,656 | 1,656 | CONTRIBUTOR | null | ### System Info
I want to pre-train the DeBERTa model (TFDebertaV2ForMaskedLM) using TPUs.
However, I got errors when I set "relative_attention" as Tue.
Although I tried to pre-train using a small model (the number of layers: 1, hidden dimension: 256),
I got the same error messages.
Is there any problem in... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"when will this pr be merged ?",
"We needed to wait for a new deepspeed release, which I see has happened already, so yes, we can merge this shortly. "
] | 1,652 | 1,654 | 1,654 | CONTRIBUTOR | null | This PR fixes https://github.com/huggingface/transformers/issues/17114
The `deepspeed_reinit` hack proved to not always work, as some stored args appear to be either stale or wrong (e.g. the optimizer can be a deepspeed outer optimizer which shouldn't be the case), so trying to just do a full init from scratch inste... | {
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https://api.github.com/repos/huggingface/transformers/issues/17150 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17150/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17150/comments | https://api.github.com/repos/huggingface/transformers/issues/17150/events | https://github.com/huggingface/transformers/pull/17150 | 1,230,532,968 | PR_kwDOCUB6oc43i5H2 | 17,150 | [trainer] sharded _load_best_model | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thank you for explaining why the testing of this path is complicated, Sylvain.\r\n\r\nI think I can make it partially tested by using zero3 w/o `\"stage3_gather_16bit_weights_on_model_save\"` which would make it fall through and at l... | 1,652 | 1,654 | 1,652 | CONTRIBUTOR | null | Looks like a copy-in-paste issue. This code path is probably untested.
@sgugger | {
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https://api.github.com/repos/huggingface/transformers/issues/17149 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17149/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17149/comments | https://api.github.com/repos/huggingface/transformers/issues/17149/events | https://github.com/huggingface/transformers/pull/17149 | 1,230,348,155 | PR_kwDOCUB6oc43iRSS | 17,149 | Add datasets.Dataset to trainer type hints | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_17149). All of your documentation changes will be reflected on that endpoint.",
"I don't think this fix is right as a `datasets.Dataset` should be recognized by the `Dataset` type (it implements `__getitem__` and `__len__`)... | 1,652 | 1,655 | 1,655 | CONTRIBUTOR | null | # What does this PR do?
This fixes a minor type hinting issue. `Trainer.__init__` currently assumes that `train_dataset` (if not `None`) is of type `torch.util.data.Dataset` (or `Dataset` for short), but that is a generic type (just as e.g. `List` is generic and needs to be "filled" as in `List[str]`). This method a... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@sgugger the script `utils/check_inits.py` used for CI has a bug. Line 252:\r\n\r\n```\r\nsubmodule = short_path.replace(os.path.sep, \".\").replace(\".py\", \"\")\r\n```\r\n\r\nThis would lead to files starting by \"py\" to be impro... | 1,652 | 1,652 | 1,652 | CONTRIBUTOR | null | # What does this PR do?
This PR add support for the environment variable `MLFLOW_FLATTEN_PARAMS`.
When first level parameters hold a dictionary value, it will be logged to MLflow as a string. Currently, it will skip that parameter when the string exceed 250 characters. This is especially true with the task_speci... | {
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"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md) a... | 1,652 | 1,655 | 1,655 | NONE | null | The code from https://huggingface.co/docs/transformers/main/en/model_doc/rembert#overview yields this error:
```
transformers.utils.hub.RepositoryNotFoundError: 404 Client Error: Repository Not Found for url: https://huggingface.co/rembert/resolve/main/sentencepiece.model
```
### Who can help?
_No response_
... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_17146). All of your documentation changes will be reflected on that endpoint.",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please... | 1,652 | 1,657 | 1,657 | CONTRIBUTOR | null | # What does this PR do?
Adds GreaseLM model. For more details, see https://github.com/snap-stanford/GreaseLM and https://arxiv.org/abs/2201.08860
For a quick check, see this [colab](https://colab.research.google.com/drive/19ePb4fZysn45wkhzAzOlcDSEWAGnSgto)
CommonSenseQA [validation](https://colab.research.google.c... | {
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] | 1,652 | 1,652 | 1,652 | CONTRIBUTOR | null | # What does this PR do?
This PR fixes the directions in the documentation for installing Accelerate, as pointed out here: https://github.com/huggingface/accelerate/issues/349
Currently they state to install just with pip, but as they are changed based on the git version of Accelerate, users should install with it... | {
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"I was able to reproduce this pythonically on python 3.8.8\r\n```python\r\nfrom collections import OrderedDict\r\nfrom dataclasses import dataclass\r\n\r\nclass A(OrderedDict):\r\n def __post_init__(self):\r\n self[\"a\"] = 1\r\n\r\n@dataclass\r\nclass B(A):\r\n some_val = None\r\n\r\nb = B()\r\n```\r\... | 1,652 | 1,652 | 1,652 | NONE | null | ### System Info
```shell
- `transformers` version: 4.18.0
- Platform: Linux-5.4.0-109-generic-x86_64-with-glibc2.27
- Python version: 3.8.8
- Huggingface_hub version: 0.5.1
- PyTorch version (GPU?): 1.10.1+cu102 (False)
- Tensorflow version (GPU?): 2.5.0 (False)
- Flax version (CPU?/GPU?/TPU?): not installed (NA... | {
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] | 1,652 | 1,652 | 1,652 | CONTRIBUTOR | null | # What does this PR do?
Fix #17140
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https://api.github.com/repos/huggingface/transformers/issues/17142 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17142/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17142/comments | https://api.github.com/repos/huggingface/transformers/issues/17142/events | https://github.com/huggingface/transformers/pull/17142 | 1,229,837,274 | PR_kwDOCUB6oc43glEw | 17,142 | bert: add conversion script for BERT Token Dropping TF2 checkpoints | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Hi @LysandreJik \r\n\r\nthanks for the approval! I have also added a model card and the model is also mentioned in our new [\"hmBERT: Historical Multilingual Language Models for Named Entity Recognition\"](https://arxiv.org/abs/2205... | 1,652 | 1,656 | 1,656 | COLLABORATOR | null | Hi,
this PR adds a conversion script for BERT models, that were trained with the recently introduced "Token Dropping for Efficient BERT Pretraining" approach, introduced in [this paper](https://arxiv.org/abs/2203.13240):
![Unbenannt](https://user-images.githubusercontent.com/20651387/167600822-fe0bb6ab-0aac-4624-... | {
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"Pinging @sgugger for a second review!"
] | 1,652 | 1,652 | 1,652 | CONTRIBUTOR | null | # What does this PR do?
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Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
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https://api.github.com/repos/huggingface/transformers/issues/17140 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17140/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17140/comments | https://api.github.com/repos/huggingface/transformers/issues/17140/events | https://github.com/huggingface/transformers/issues/17140 | 1,229,570,813 | I_kwDOCUB6oc5JScL9 | 17,140 | Overflow when normalizing start and end logits in QA pipeline | {
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"Yes, the logsumexp trick should be used every time we compute a `softmax` in any pipeline.",
"Thanks for finding this ! \r\n\r\nThis is old code that was carried over many times, proposed fix here: https://github.com/huggingface/transformers/pull/17143\r\n\r\n@fgbelidji do you have an example where it triggers ?... | 1,652 | 1,652 | 1,652 | MEMBER | null | ### System Info
```shell
- `transformers` version: 4.18.0
- Platform: Linux-4.19.0-20-cloud-amd64-x86_64-with-debian-10.12
- Python version: 3.7.12
- Huggingface_hub version: 0.4.0
- PyTorch version (GPU?): 1.11.0+cu102 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not i... | {
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"Maybe of interest to @Narsil ",
"Hi @fxmarty \r\n\r\n> however I guess it is bad practice to overwrite a pre-tokenizer (in my case [BertPreTokenizer](https://github.com/huggingface/tokenizers/blob/28cd3dce2a75d106572392194ff2564574c33235/tokenizers/src/pre_tokenizers/bert.rs#L13))?\r\n\r\nYes, this would set up ... | 1,652 | 1,656 | 1,656 | COLLABORATOR | null | ### Feature request
As described below, currently there may well be cases where the token indexes given as an output of `TokenClassificationPipeline` can not be mapped to the original word indexes in the input dataset that originally had words already split.
It would come handy to be able to use the output indexe... | {
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https://api.github.com/repos/huggingface/transformers/issues/17138 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17138/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17138/comments | https://api.github.com/repos/huggingface/transformers/issues/17138/events | https://github.com/huggingface/transformers/pull/17138 | 1,229,397,053 | PR_kwDOCUB6oc43fHSw | 17,138 | Extend Transformers Trainer Class to Enable CPU AMP and Integrate Intel Extension for PyTorch | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"cc @stas00 ",
"Like #17153 I'm not entirely sure if this is best put here or in Optimum, so would like to hear back from @mfuntowicz and @LysandreJik before taking a deeper dive in the PR and review :-)",
"Hi, @mfuntowicz @Lysan... | 1,652 | 1,674 | 1,654 | CONTRIBUTOR | null | # What does this PR do?
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"cc @stas00 ",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/main/C... | 1,652 | 1,654 | 1,654 | CONTRIBUTOR | null | ### Feature request
## Extend Trainer to Enable CPU AMP and Integrate Intel Extension for PyTorch
### Design
_Overview usage of Integrating Intel Extension for PyTorch:_
Intel® Ex... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,652 | 1,652 | 1,652 | CONTRIBUTOR | null | # What does this PR do?
PyTorch recently upstreamed the Fairscale FSDP into PyTorch Distributed with additional optimizations. This PR is aimed at integrating it into Trainer API.
- It enables Distributed Training at Scale. It's a wrapper for sharding Module parameters across data parallel workers. This is inspire... | {
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https://api.github.com/repos/huggingface/transformers/issues/17135 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17135/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17135/comments | https://api.github.com/repos/huggingface/transformers/issues/17135/events | https://github.com/huggingface/transformers/pull/17135 | 1,229,008,808 | PR_kwDOCUB6oc43d2SX | 17,135 | Add DebertaV2ForMultipleChoice | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Also for additional context, the implementation of the multiple choice model is taken from `RobertaForMultipleChoice`.",
"Thanks for your contribution @zphang!"
] | 1,652 | 1,652 | 1,652 | CONTRIBUTOR | null | # What does this PR do?
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Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
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https://api.github.com/repos/huggingface/transformers/issues/17134 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17134/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17134/comments | https://api.github.com/repos/huggingface/transformers/issues/17134/events | https://github.com/huggingface/transformers/pull/17134 | 1,228,958,709 | PR_kwDOCUB6oc43dsyq | 17,134 | Updated link for `generate` method | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_17134). All of your documentation changes will be reflected on that endpoint.",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please... | 1,652 | 1,655 | 1,655 | NONE | null | The previous link did not lead to the `generate` method and therefore didn't show the `kwargs` for text generation. This new link rectifies this.
# What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/17133 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17133/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17133/comments | https://api.github.com/repos/huggingface/transformers/issues/17133/events | https://github.com/huggingface/transformers/issues/17133 | 1,228,890,618 | I_kwDOCUB6oc5JP2H6 | 17,133 | changing Encoder's embedding table in MarianEncoder | {
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"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md) a... | 1,652 | 1,655 | 1,655 | NONE | null | Hi,
i am trying to change the Encoder's (MarianEncoder) embedding table (self.embed_tokens) during inference.
i tried adding the following lines
num_tokens, embedding_dim = self.embed_tokens.weight.size()
new_embeddings = nn.Embedding(num_tokens, embedding_dim)
new_embeddings.to(self.embed_tokens.weight.device,... | {
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"Hey @HLasse, \r\n\r\nNote that datasets streaming is not yet official supported, but just in the `research_folder` directory. We sadly don't have the capacity to maintain these scripts. Once dataset streaming fully works, we'll upgrade those scripts to the \"main\" examples folder.",
"This issue has a suggested ... | 1,652 | 1,652 | 1,652 | NONE | null | ### System Info
```shell
- `transformers` version: 4.18.0
- Platform: Linux-5.4.173.el7-x86_64-with-glibc2.10
- Python version: 3.8.12
- Huggingface_hub version: 0.5.1
- PyTorch version (GPU?): 1.11.0a0+17540c5 (True)
- Tensorflow version (GPU?): 2.8.0 (True)
- Flax version (CPU?/GPU?/TPU?): 0.4.2 (gpu)
- Jax v... | {
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"Hi, @YISTANFORD \r\n\r\nMy colleague sgugger might have better ideas. But here are some suggestions from my side:\r\n\r\n- It's probably a good idea to work with newer versions.\r\n - Python 3.6 is EOL (in Dec 2021)\r\n - PyTorch is now 1.11, but 1.10 might be good too\r\n - TensorFlow, `transformers`, etc.\r\n... | 1,651 | 1,655 | 1,655 | NONE | null | ### System Info
```shell
- `transformers` version: 4.15.0
- Platform: Linux-3.10.0-1160.59.1.el7.x86_64-x86_64-with-centos-7.9.2009-Core
- Python version: 3.6.8
- PyTorch version (GPU?): 1.7.0 (False)
- Tensorflow version (GPU?): 2.6.2 (False)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: no... | {
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https://api.github.com/repos/huggingface/transformers/issues/17130 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17130/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17130/comments | https://api.github.com/repos/huggingface/transformers/issues/17130/events | https://github.com/huggingface/transformers/pull/17130 | 1,228,755,992 | PR_kwDOCUB6oc43dGsu | 17,130 | Fix MLflowCallback end_run() and add support for tags and nested runs | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,651 | 1,652 | 1,652 | CONTRIBUTOR | null | # What does this PR do?
This PR includes:
- Add support for MLFLOW_TAGS, MLFLOW_RUN_ID, and MLFLOW_NESTED_RUN
- ensure that MLflow runs that were started with on_train_begin() are also properly terminated when on_train_end() hook is called.
## Before submitting
- [ ] This PR fixes a typo or improves the docs (... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_17129). All of your documentation changes will be reflected on that endpoint.",
"When it this out, I get this for BERT:\r\n\r\n```\r\nE File \"<eval_with_key>.1\", line 4 ... | 1,651 | 1,652 | 1,652 | CONTRIBUTOR | null | # What does this PR do?
This PR removes a patch that is not necessary anymore(since https://github.com/pytorch/pytorch/pull/59569 was merged long time ago)
cc: @michaelbenayoun
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"Hey @mygithubid1! Would you like to open a PR with the fix you propose here?",
"Yes @LysandreJik.",
"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 foll... | 1,651 | 1,654 | 1,654 | CONTRIBUTOR | null | ### System Info
```shell
- `transformers` version: 4.18.0
- Platform: Linux-5.17.1-arch1-1-x86_64-with-glibc2.35
- Python version: 3.9.7
- Huggingface_hub version: 0.5.1
- PyTorch version (GPU?): 1.10.2+cu102 (True)
- Tensorflow version (GPU?): 2.8.0 (True)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- ... | {
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"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md) a... | 1,651 | 1,655 | 1,655 | NONE | null | ### Feature request
Hello I want a MarianTokenizerFast. I am a soldier from Ukrain and we are using the Pretrained MarianMT Models to help translate Russian commands. Currently the tokenizer is too slow so we need a faster one to translate faster! Sometimes it takes 1 second and the missile is already launch so FAST I... | {
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https://api.github.com/repos/huggingface/transformers/issues/17126 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17126/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17126/comments | https://api.github.com/repos/huggingface/transformers/issues/17126/events | https://github.com/huggingface/transformers/issues/17126 | 1,228,644,586 | I_kwDOCUB6oc5JO6Dq | 17,126 | is it possible to split the embedding layers from bert during fine tuning and inference | {
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"Hello, \r\n\r\nYou can get the embeddings layer with model.embeddings as per \r\nhttps://github.com/huggingface/transformers/blob/v4.18.0/src/transformers/models/bert/modeling_bert.py#L848\r\n\r\n```\r\nprint (model.embeddings)\r\n#BertEmbeddings(\r\n (word_embeddings): Embedding(30522, 768, padding_idx=0)\r\n (... | 1,651 | 1,655 | 1,655 | NONE | null | in my bert model, parameters in embedding layers are huge since the vocabulary size is very big. So I plan to split the embedding layer from the entire model and use it as a independent module to calculate word embeddings. Is it possible to do like this? thanks
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https://api.github.com/repos/huggingface/transformers/issues/17125 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17125/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17125/comments | https://api.github.com/repos/huggingface/transformers/issues/17125/events | https://github.com/huggingface/transformers/issues/17125 | 1,228,643,789 | I_kwDOCUB6oc5JO53N | 17,125 | is it possible to split the embedding layers from bert during fine tuning and inference | {
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```shell
in my bert model, parameters in embedding layers are huge since the vocabulary size is very big. So I plan to split the embedding layer from the entire model and use it as a independent module to calculate word embeddings. Is it possible to do like this? thanks
```
### Who can help?
_No res... | {
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"I highly recommend you get a workaround that works on the **latest** dataset and transformers library! I suffered a lot only for this reason.",
"> I highly recommend you get a workaround that works on the **latest** dataset and transformers library! I suffered a lot only for this reason.\r\n\r\nWhat do you mean ... | 1,651 | 1,660 | 1,655 | NONE | null | Hello everyone, I need help with the training of the encoder-decoder model. I need to fine-tune a bert2bert for Turkish content summarization. I am using this sample notebook reference: https://github.com/patrickvonplaten/notebooks/blob/master/BERT2BERT_for_CNN_Dailymail.ipynb
After training on my custom dataset, w... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,651 | 1,652 | 1,652 | CONTRIBUTOR | null | Added missing type hints for the `BigBirdPegasus` and `Data2VecText` PyTorch models as requested in https://github.com/huggingface/transformers/issues/16059.
@Rocketknight1 | {
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https://api.github.com/repos/huggingface/transformers/issues/17122 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17122/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17122/comments | https://api.github.com/repos/huggingface/transformers/issues/17122/events | https://github.com/huggingface/transformers/issues/17122 | 1,228,551,715 | I_kwDOCUB6oc5JOjYj | 17,122 | Training issue of a Transformer based Encoder-Decoder model based on pre-trained BanglaBERT | {
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"I am literally getting the same issue, invested hours trying to figure out what is wrong but still did not get it. I tried both BERTurk and mBERT and both of them gave the same issue and even training loss goes near 0 instantly I am not sure what to do.\r\n",
"Sorry for being late. Yes, that's because what appro... | 1,651 | 1,652 | 1,652 | NONE | null | I just tried to train an EncoderDeoder model for **summarization** task based on pre-trained *[BanglaBERT](https://huggingface.co/csebuetnlp/banglabert)*, which is an **ELECTRA** discriminator model pre-trained with the Replaced Token Detection (RTD) objective. Surprisingly, after spending 4500 steps on 10k training da... | {
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https://api.github.com/repos/huggingface/transformers/issues/17121 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17121/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17121/comments | https://api.github.com/repos/huggingface/transformers/issues/17121/events | https://github.com/huggingface/transformers/issues/17121 | 1,228,485,990 | I_kwDOCUB6oc5JOTVm | 17,121 | GPT2: Perfect training and evaluation loss, but terrible test-time performance | {
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"The original code by Andrej Kaparthy didn't have this issue, as it effectively set `self.masked_bias` to `float('-inf')`, as can be seen [here](https://github.com/karpathy/minGPT/blob/3ed14b2cec0dfdad3f4b2831f2b4a86d11aef150/mingpt/model.py#L71).",
"Hey @micahcarroll,\r\n\r\nThanks for reporting this! Your issue... | 1,651 | 1,656 | 1,656 | NONE | null | ### System Info
I get the following error when running `transformers-cli env`:
```shell ... | {
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https://api.github.com/repos/huggingface/transformers/issues/17120 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17120/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17120/comments | https://api.github.com/repos/huggingface/transformers/issues/17120/events | https://github.com/huggingface/transformers/pull/17120 | 1,228,443,194 | PR_kwDOCUB6oc43cMev | 17,120 | Update modeling_gptj.py | {
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"Sorry, opened by mistake.",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_17120). All of your documentation changes will be reflected on that endpoint."
] | 1,651 | 1,651 | 1,651 | NONE | null | # What does this PR do?
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Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
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"_The documentation is not available anymore as the PR was closed or merged._",
"@Narsil Thank you for your review! A better fix would be if we could just accumulate all special and non-special tokens and then call `tokenizer.add_tokens()` once or twice at the end. However, since we need to maintain the order of ... | 1,651 | 1,654 | 1,654 | CONTRIBUTOR | null | # What does this PR do?
For tokenizers with added tokens that only consist of a small number of special tokens or any number of special tokens with consecutive token IDs, this pull request reduces the time complexity of creating the trie from quadratic to linear. This can easily reduce the time it takes to load a pr... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_17118). All of your documentation changes will be reflected on that endpoint.",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please... | 1,651 | 1,655 | 1,655 | CONTRIBUTOR | null | # Fix typo in docs
## Before submitting
- [X] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [ ] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md#start-contributing-pull-requests),
Pull Request ... | {
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https://api.github.com/repos/huggingface/transformers/issues/17117 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17117/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17117/comments | https://api.github.com/repos/huggingface/transformers/issues/17117/events | https://github.com/huggingface/transformers/issues/17117 | 1,228,130,508 | I_kwDOCUB6oc5JM8jM | 17,117 | No way to get ONLY the generated text, not including the prompt. | {
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"Hi @monsieurpooh ,\r\n\r\n`generate` will not change, since it's a relatively low level function, it really does exactly what it should do to the relative tensors (`encoder-decoder` and `decoder-only` don't work the same for instance).\r\n\r\nTwo suggestions:\r\n\r\n- Simple modification `gen_text = tokenizer.batc... | 1,651 | 1,663 | 1,652 | NONE | null | ### System Info
```shell
- `transformers` version: 4.15.0
- Platform: Windows-10-10.0.19041-SP0
- Python version: 3.8.5
- PyTorch version (GPU?): 1.10.2+cu113 (True)
- Tensorflow version (GPU?): 2.5.1 (True)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not installed
- JaxLib version: no... | {
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https://api.github.com/repos/huggingface/transformers/issues/17116 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17116/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17116/comments | https://api.github.com/repos/huggingface/transformers/issues/17116/events | https://github.com/huggingface/transformers/issues/17116 | 1,228,038,520 | I_kwDOCUB6oc5JMmF4 | 17,116 | Pretrain on Wav2vec2 getting parameters did not receive grad for rank0. | {
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"Hey @Slyne, \r\n\r\nCould you please make sure to set the parameter `layerdrop` to 0.0 in distributed settings? This: https://huggingface.co/facebook/wav2vec2-large-xlsr-53/blob/main/config.json#L57 needs to be set to 0.0 before pretraining",
"@patrickvonplaten Thanks! It works now. Just found this parameter se... | 1,651 | 1,655 | 1,655 | NONE | null | ### System Info
Following [this example](https://github.com/huggingface/transformers/tree/main/examples/pytorch/speech-pretraining) and running with [base model](https://github.com/huggingface/transformers/tree/main/examples/pytorch/speech-pretraining#base) seem ok.
But when turning into the [large model](https... | {
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https://api.github.com/repos/huggingface/transformers/issues/17115 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17115/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17115/comments | https://api.github.com/repos/huggingface/transformers/issues/17115/events | https://github.com/huggingface/transformers/issues/17115 | 1,227,976,517 | I_kwDOCUB6oc5JMW9F | 17,115 | In a multi-gpu setup, use a fraction of GPUs for training and the other fraction for some other computations | {
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"(not sure if I should tag someone for this, a wild guess: @LysandreJik @patil-suraj )\r\n\r\nEdit by Lysandre: @sgugger :)",
"This is only used for `DataParallel`, which is not the recommended way to run training on several GPUs (as recommended by the [PyTorch doc](https://pytorch.org/docs/stable/generated/torch... | 1,651 | 1,655 | 1,655 | CONTRIBUTOR | null | ### Feature request
When running pytorch examples with transformers library, it seems that the number of GPUs is inferred at https://github.com/huggingface/transformers/blob/cad61b68396a1a387287a8e2e2fef78a25b79383/src/transformers/training_args.py#L1091
and it assumes that all `CUDA_VISIBLE_DEVICES` will be used fo... | {
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https://api.github.com/repos/huggingface/transformers/issues/17114 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17114/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17114/comments | https://api.github.com/repos/huggingface/transformers/issues/17114/events | https://github.com/huggingface/transformers/issues/17114 | 1,227,967,790 | I_kwDOCUB6oc5JMU0u | 17,114 | Error on loading saved optimizer after training (zero-3) | {
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"I don't think DeepSpeed is compatible with the use of Adafactor, cc @stas00 ",
"@sgugger oh, but I tried using other optimizers too (like `adamw_hf`, `adam_torch`, etc) which also resulted in the same error. ",
"I can handle this ticket, @sgugger \r\n\r\n@base-y, thank you for the report - how can I reproduce ... | 1,651 | 1,674 | 1,654 | NONE | null | ### System Info
```shell
Platform: Ubuntu 18.04.1
python3.8.0
cuda-11.3
torch==1.11.0+cu113 (GPU)
transformers==4.18.0
deepspeed==0.6.3
huggingface_hub version: 0.5.1
```
### Who can help?
@sgugger, @patrickvonplaten
### Information
- [ ] The official example scripts
- [X] My own modified scr... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_17113). All of your documentation changes will be reflected on that endpoint.",
"As requested on slack, I just had a quick look at your PR. It's in good shape! :blush: \r\n\r\nRegarding the fast tokenizer part, to check its... | 1,651 | 1,685 | 1,685 | CONTRIBUTOR | null | add glm model | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thanks for catching this @caesar-one, looking forward to it getting merged as I am also trying to use LED-based models with a global attention mask!",
"@patrickvonplaten could this issue be the reason for the [lower performances of... | 1,651 | 1,652 | 1,652 | CONTRIBUTOR | null | # What does this PR do?
There are two changes:
1. The `global_attention_mask` parameter was not passed in `.prepare_inputs_for_generation(...)`. So, when you call the `.generate(...)` method it never reaches the `LEDModel.forward(...)` (even though `global_attention_mask` is passed in `kwargs`). So local attention is... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"> If this change is needed, it should also be done in the other GitHub action files, \r\n\r\nThe other occurrences are in `self-nightly-scheduled.yml\"`. ~~I can update it too.~~ **Done**\r\n\r\n> and also in the report part of the j... | 1,651 | 1,651 | 1,651 | COLLABORATOR | null | # What does this PR do?
`self-push.yml` has lines like
```
run: cat reports/tests_torch_gpu_failures_short.txt
```
which should be
```
run: cat reports/tests_torch_gpu/failures_short.txt
```
Currently, we get errors like
```
cat: reports/tests_torch_multi_gpu_failures_short.txt: No such file or direct... | {
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https://api.github.com/repos/huggingface/transformers/issues/17110 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17110/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17110/comments | https://api.github.com/repos/huggingface/transformers/issues/17110/events | https://github.com/huggingface/transformers/issues/17110 | 1,227,586,622 | I_kwDOCUB6oc5JK3w- | 17,110 | DebertaV2Tokenizer wasn't added to the __init__ file | {
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"Hello @AhmedIdr! Now that a new version has been released, you should be able to import it by upgrading to the latest version.",
"Yeah it seems to be working, thank you. "
] | 1,651 | 1,652 | 1,652 | NONE | null | ### System Info
```shell
- `transformers` version: 4.19.0.dev0
- Platform: Linux-5.11.0-46-generic-x86_64-with-glibc2.29
- Python version: 3.8.10
- Huggingface_hub version: 0.5.1
- PyTorch version (GPU?): 1.10.1+cu113
- Tensorflow version (GPU?): not installed
- Flax version (CPU?/GPU?/TPU?): not installed
- J... | {
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https://api.github.com/repos/huggingface/transformers/issues/17109 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17109/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17109/comments | https://api.github.com/repos/huggingface/transformers/issues/17109/events | https://github.com/huggingface/transformers/pull/17109 | 1,227,400,240 | PR_kwDOCUB6oc43ZDhu | 17,109 | Add OFA configuration, tokenizer and modeling | {
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"Thank you so much @JustinLin610 for adding this PR. Sorry I hadn't had the chance to work on it so far.\n\n@patil-suraj If anything is needed from my end please let me know.",
"I can address the failing tests. Please give me until today.",
"> I can address the failing tests. Please give me until today.\r\n\r\n... | 1,651 | 1,675 | 1,658 | CONTRIBUTOR | null | # What does this PR do?
Fixes #15813 and #16265. Added OFA configuartion, tokenizer and Modeling.
## Who can Review?
Anyone in the community is free to review the PR once the tests have passed. Feel free to tag
members/contributors who may be interested in your PR.
cc @patil-suraj @gchhablani
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https://api.github.com/repos/huggingface/transformers/issues/17108 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17108/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17108/comments | https://api.github.com/repos/huggingface/transformers/issues/17108/events | https://github.com/huggingface/transformers/pull/17108 | 1,227,378,525 | PR_kwDOCUB6oc43Y_CZ | 17,108 | [bert] An equivalent way to get last_hidden_state tensor but supports ColossalAI well. | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_17108). All of your documentation changes will be reflected on that endpoint.",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please... | 1,651 | 1,655 | 1,655 | NONE | null | # What does this PR do?
An equivalent way to get the last_hidden_state tensor in `BertModel` and won't harm the correctness and performance.
The motivation is that I am going to apply the BertModel in [Colossal-AI](https://github.com/hpcaitech/ColossalAI), a distributed Deep Learning Framework. The is_tensor() func... | {
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Here I remark that the output of individual sequences are different from batched sequences using T5ForConditionalGeneration. How to fix it ? Here is an example to reproduce the er... | {
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https://api.github.com/repos/huggingface/transformers/issues/17106 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17106/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17106/comments | https://api.github.com/repos/huggingface/transformers/issues/17106/events | https://github.com/huggingface/transformers/issues/17106 | 1,227,273,917 | I_kwDOCUB6oc5JJra9 | 17,106 | Socket Timeout when using DDP | {
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"Not sure if it's related to dataset (.parquet format). Could you please post the code snippet you used to launch the script ? Thanks.",
"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... | 1,651 | 1,705 | 1,664 | NONE | null | ### System Info
```shell
- `transformers` version: 4.17.0.dev0
- Platform: Linux-4.15.0-176-generic-x86_64-with-glibc2.17
- Python version: 3.8.13
- PyTorch version (GPU?): 1.8.2 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not insta... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,651 | 1,652 | 1,652 | CONTRIBUTOR | null | # What does this PR do?
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Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
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https://api.github.com/repos/huggingface/transformers/issues/17104 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17104/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17104/comments | https://api.github.com/repos/huggingface/transformers/issues/17104/events | https://github.com/huggingface/transformers/pull/17104 | 1,226,970,472 | PR_kwDOCUB6oc43Xo5C | 17,104 | Added BigBirdPegasus onnx config | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Oh you closed the other one?",
"> Oh you closed the other one?\r\n\r\nWhile rebasing, I mistakenly forced pushed with wrong commit hash which reset the head of my branch to latest commit from main branch. All my previous commits w... | 1,651 | 1,651 | 1,651 | CONTRIBUTOR | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/17103 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17103/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17103/comments | https://api.github.com/repos/huggingface/transformers/issues/17103/events | https://github.com/huggingface/transformers/pull/17103 | 1,226,942,154 | PR_kwDOCUB6oc43Xi0p | 17,103 | Fix link to example scripts | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,651 | 1,651 | 1,651 | MEMBER | null | This PR fixes #17098 - a broken link to the example scripts in the `Trainer` docs. | {
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https://api.github.com/repos/huggingface/transformers/issues/17102 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17102/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17102/comments | https://api.github.com/repos/huggingface/transformers/issues/17102/events | https://github.com/huggingface/transformers/issues/17102 | 1,226,884,571 | I_kwDOCUB6oc5JIMXb | 17,102 | TypeError: forward() got an unexpected keyword argument 'labels' with mt5-small | {
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"Since it seems linked to T5 specifically, pinging @patrickvonplaten",
"cc @patil-suraj could you take a look here?",
"Looking into it!",
"Hi @paulthemagno !\r\n\r\nThis is because `MT5EncoderModel` or the `T5EncoderModel` is just a base model and does not have any head. So it does not accept the `labels` arg... | 1,651 | 1,663 | 1,655 | NONE | null | ### System Info
```shell
- `transformers` version: 4.18.0
- Platform: Linux-4.14.252-131.483.amzn1.x86_64-x86_64-with-glibc2.9
- Python version: 3.6.13
- Huggingface_hub version: 0.4.0
- PyTorch version (GPU?): 1.10.2+cu102 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): n... | {
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https://api.github.com/repos/huggingface/transformers/issues/17101 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17101/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17101/comments | https://api.github.com/repos/huggingface/transformers/issues/17101/events | https://github.com/huggingface/transformers/pull/17101 | 1,226,768,235 | PR_kwDOCUB6oc43XAD9 | 17,101 | Update CLIPFeatureExtractor to convert PIL image to RGB | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"hi @patil-suraj, re-created the PR as discussed 😄"
] | 1,651 | 1,652 | 1,652 | CONTRIBUTOR | null | Currently PIL images with RGBA format throws an error when being processed by CLIPFeatureExtractor.
CLIPFeatureExtractor.normalize() throws the following error:
.../sentence-transformer/lib/python3.9/site-packages/transformers/image_utils.py", line 185, in normalize return (image - mean) / std ValueError: operands ... | {
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https://api.github.com/repos/huggingface/transformers/issues/17100 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17100/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17100/comments | https://api.github.com/repos/huggingface/transformers/issues/17100/events | https://github.com/huggingface/transformers/issues/17100 | 1,226,754,365 | I_kwDOCUB6oc5JHsk9 | 17,100 | Tokenization in run_mlm is not correct (maybe)? | {
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"This is just an example, as mentioned in the main example README, and you are free to adapt the data processing to your needs.\r\nThis script is not reproducing the BERT pretraining (which also has some next sentence prediction objective), it just gives an example of masked language modeling.",
"Ok I thought may... | 1,651 | 1,651 | 1,651 | NONE | null | ### System Info
```shell
- `transformers` version: 4.17.0.dev0
- Platform: Linux-5.13.0-28-generic-x86_64-with-glibc2.17
- Python version: 3.8.12
- PyTorch version (GPU?): 1.10.2 (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/17099 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17099/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17099/comments | https://api.github.com/repos/huggingface/transformers/issues/17099/events | https://github.com/huggingface/transformers/pull/17099 | 1,226,738,676 | PR_kwDOCUB6oc43W525 | 17,099 | PyTorch FSDP integration in Trainer | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Opened a new PR on the branch of main repo instead of fork [17136](https://github.com/huggingface/transformers/pull/17136)"
] | 1,651 | 1,652 | 1,652 | CONTRIBUTOR | null | # What does this PR do?
PyTorch recently upstreamed the Fairscale FSDP into PyTorch Distributed with additional optimizations. This PR is aimed at integrating it into Trainer API.
- It enables Distributed Training at Scale. It's a wrapper for sharding Module parameters across data parallel workers. This is inspire... | {
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https://api.github.com/repos/huggingface/transformers/issues/17098 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17098/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17098/comments | https://api.github.com/repos/huggingface/transformers/issues/17098/events | https://github.com/huggingface/transformers/issues/17098 | 1,226,728,306 | I_kwDOCUB6oc5JHmNy | 17,098 | Docs link to example scripts is broken | {
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"Hi, a PR has been opened to fix this issue. Thanks for reporting! :)\r\n\r\nThe problem was `examples` had been removed from the `toctree` which caused the link to be broken."
] | 1,651 | 1,651 | 1,651 | CONTRIBUTOR | null | This is about **documentation link error**.
## Error
At https://huggingface.co/docs/transformers/main/en/main_classes/trainer#trainer
>It’s used in most of the [example scripts](https://huggingface.co/docs/transformers/main/en/examples).
The link *example scripts* https://huggingface.co/docs/transformers/main... | {
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https://api.github.com/repos/huggingface/transformers/issues/17097 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17097/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17097/comments | https://api.github.com/repos/huggingface/transformers/issues/17097/events | https://github.com/huggingface/transformers/pull/17097 | 1,226,710,902 | PR_kwDOCUB6oc43Wz-S | 17,097 | Remove torchhub test | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_17097). All of your documentation changes will be reflected on that endpoint.",
"## 😭😭"
] | 1,651 | 1,651 | 1,651 | COLLABORATOR | null | # What does this PR do?
The torchhub test is failing with a cryptic error. This PR removes the test but keeps the integration intact. As the Hugging Face Hub becomes the main marketplace for `transformers` models, it should be the integration users use and while torchhub remains supported we will not test it going f... | {
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https://api.github.com/repos/huggingface/transformers/issues/17096 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17096/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17096/comments | https://api.github.com/repos/huggingface/transformers/issues/17096/events | https://github.com/huggingface/transformers/issues/17096 | 1,226,626,208 | I_kwDOCUB6oc5JHNSg | 17,096 | pip install "sacremoses>=0.0.50" breaks on SageMaker Studio | {
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"Thanks for the issue @juliensimon, this should be fixed by https://github.com/huggingface/transformers/pull/17049. It will be in the next release which should drop early next week.",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be add... | 1,651 | 1,654 | 1,654 | NONE | null | ### System Info
```shell
This was verified today on a fresh SageMaker Studio instance running in us-west-2.
It's not a Transformer issue, but as sacremoses is a dependency, this is likely to break 'pip install transformers' on SageMaker Studio at some point.
```
### Who can help?
_No response_
### Information
... | {
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https://api.github.com/repos/huggingface/transformers/issues/17095 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17095/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17095/comments | https://api.github.com/repos/huggingface/transformers/issues/17095/events | https://github.com/huggingface/transformers/pull/17095 | 1,226,602,091 | PR_kwDOCUB6oc43WdL6 | 17,095 | add type annotations for `gptj` | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,651 | 1,651 | 1,651 | CONTRIBUTOR | null | # What does this PR do?
This PR adds type annotations for GPT-J (PyTorch) as described in #16059.
## Who can review?
@Rocketknight1
Anyone in the community is free to review the PR once the tests have passed.
| {
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https://api.github.com/repos/huggingface/transformers/issues/17094 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17094/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17094/comments | https://api.github.com/repos/huggingface/transformers/issues/17094/events | https://github.com/huggingface/transformers/issues/17094 | 1,226,449,969 | I_kwDOCUB6oc5JGiQx | 17,094 | set_verbosity_info not working | {
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"Hello @sanderland! The `logging` utility of the `transformers` library is made to control the logging of the library itself, not of scripts outside of it.\r\n\r\nIt's based off of the way you instantiate the logger with `logging.get_logger` -> all files in the `transformers` module will have `transformers` as thei... | 1,651 | 1,652 | 1,652 | CONTRIBUTOR | null | ### System Info
Transformers version: 4.18
### Issue
The example at https://huggingface.co/docs/transformers/main_classes/logging does not work.
Workaround in example is using transformers.trainer.logger instead of get_logger.
### Who can help?
Not sure
### Information
- [X] The official example s... | {
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https://api.github.com/repos/huggingface/transformers/issues/17093 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17093/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17093/comments | https://api.github.com/repos/huggingface/transformers/issues/17093/events | https://github.com/huggingface/transformers/issues/17093 | 1,226,434,516 | I_kwDOCUB6oc5JGefU | 17,093 | Import transformers and datasets not possible | {
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"Hey @RnoldR! Could you try to update the version of `huggingface_hub` to a more recent version?",
"This is what I get with conda when installing transformers and datasets. I tried with 0.2, 0.3, 0.4, 0.5.1 but a higher version is not possible because no release candidate can be found. ",
"I am trying with pip ... | 1,651 | 1,654 | 1,654 | NONE | null | ### System Info
```shell
$ transformers-cli env
2022-05-05 11:22:48.908890: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.10.1
WARNING:tensorflow:From /home/arnold/bin/anaconda/envs/nlp/lib/python3.8/site-packages/transformers/commands/env.py:50: is_... | {
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https://api.github.com/repos/huggingface/transformers/issues/17092 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17092/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17092/comments | https://api.github.com/repos/huggingface/transformers/issues/17092/events | https://github.com/huggingface/transformers/pull/17092 | 1,226,209,788 | PR_kwDOCUB6oc43VK23 | 17,092 | LayoutLMv2Processor: ensure 1-to-1 mapping between images and samples in case of overflowing tokens | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thanks again for your contribution!",
"Thanks for handling this @ghlai9665 "
] | 1,651 | 1,652 | 1,652 | CONTRIBUTOR | null | # What does this PR do?
Fixes #13554
Problem re-summarized: when `return_offsets_mapping` is set to True, `LayoutLMv2Processor` would break up sequences that are too long into multiple `input_ids` sequences, causing a mismatch between `input_ids` (longer in length in the case of overflowing tokens) and `images`. ... | {
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https://api.github.com/repos/huggingface/transformers/issues/17091 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17091/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17091/comments | https://api.github.com/repos/huggingface/transformers/issues/17091/events | https://github.com/huggingface/transformers/pull/17091 | 1,225,989,434 | PR_kwDOCUB6oc43Ud-p | 17,091 | Fix MLflowCallback and add support for MLFLOW_EXPERIMENT_NAME | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Managed to activate the test by checking out your PR and pushing it to a new branch in the `transformers` namespace. I have no idea why it worked.\r\n\r\nAnyhow, please run `make style` on your branch to fix the code quality issue an... | 1,651 | 1,651 | 1,651 | CONTRIBUTOR | null | # What does this PR do?
This PR includes the following:
- Resolves #12841: uses the MLFLOW_EXPERIMENT_NAME environment variable and the mlflow.set_experiment() method to ensure the experiment is created if it does not exist already.
- Fixes #17066: Checks properly for an active run using mlflow.active_run() (Bug i... | {
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https://api.github.com/repos/huggingface/transformers/issues/17090 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17090/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17090/comments | https://api.github.com/repos/huggingface/transformers/issues/17090/events | https://github.com/huggingface/transformers/pull/17090 | 1,225,799,150 | PR_kwDOCUB6oc43T-I- | 17,090 | Fix missing "models" in pipeline test module | {
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] | 1,651 | 1,651 | 1,651 | COLLABORATOR | null | # What does this PR do?
My PR #17034 forgot to update
```
package=f"tests.{model_slug}"
```
to
```
package=f"tests.models.{model_slug}"
```
which lead to a lot of pipeline tests being skipped.
Fixed it here. | {
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https://api.github.com/repos/huggingface/transformers/issues/17089 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17089/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17089/comments | https://api.github.com/repos/huggingface/transformers/issues/17089/events | https://github.com/huggingface/transformers/issues/17089 | 1,225,744,552 | I_kwDOCUB6oc5JD2Co | 17,089 | CUDA out of memory in evaluation_loop | {
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"+1\r\n\r\nUpdate: assigning a value to eval_accumulation_steps works for my case. @OfirArviv Did you try \r\n`--eval_accumulation_steps 1`?",
"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\n... | 1,651 | 1,685 | 1,655 | NONE | null | Hi,
I'm trying to run the seq2seq question answering example from the repro ([here](https://github.com/huggingface/transformers/blob/main/examples/pytorch/question-answering/run_seq2seq_qa.py)) and while training is fine in evaluation loop I get CUDA out of memory. I've read other asked about it previously and they ... | {
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https://api.github.com/repos/huggingface/transformers/issues/17088 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17088/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17088/comments | https://api.github.com/repos/huggingface/transformers/issues/17088/events | https://github.com/huggingface/transformers/pull/17088 | 1,225,572,163 | PR_kwDOCUB6oc43TQKa | 17,088 | Add OPT | {
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"Also I have noticed something here: https://github.com/younesbelkada/transformers/blob/13632212d5bacc83bb9a9b8b6816a70bde865dbc/src/transformers/models/opt/modeling_opt.py#L249 \r\nInitially in our implementation the attention mask has a shape `batch_size, 1, seq_len, seq_len` whereas in the metaseq implementation... | 1,651 | 1,652 | 1,652 | CONTRIBUTOR | null | # What does this PR do?
A PR to add OPT-350-m model on transformers library :hugs:
We tested the logits and the generation script and the logits on the DGX and we match the results from [metaseq](https://github.com/patrickvonplaten/metaseq/blob/main/README.md)
## TO DOs
- [ ] code lint + integration tests
-... | {
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https://api.github.com/repos/huggingface/transformers/issues/17087 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17087/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17087/comments | https://api.github.com/repos/huggingface/transformers/issues/17087/events | https://github.com/huggingface/transformers/pull/17087 | 1,225,570,452 | PR_kwDOCUB6oc43TP0E | 17,087 | Younes opt 350 m | {
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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/17086 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17086/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17086/comments | https://api.github.com/repos/huggingface/transformers/issues/17086/events | https://github.com/huggingface/transformers/issues/17086 | 1,225,471,710 | I_kwDOCUB6oc5JCzbe | 17,086 | Broken 'export' using transformers.onnx | {
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"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md) a... | 1,651 | 1,655 | 1,655 | NONE | null | ### Feature request
HuggingFace allows an indirect way to export models that aren't supported by the current version of transformers[onnx], mentioned on huggingface website [here](https://huggingface.co/docs/transformers/serialization#implementing-a-custom-onnx-configuration).
According to the original website, ... | {
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https://api.github.com/repos/huggingface/transformers/issues/17085 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17085/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17085/comments | https://api.github.com/repos/huggingface/transformers/issues/17085/events | https://github.com/huggingface/transformers/pull/17085 | 1,225,418,358 | PR_kwDOCUB6oc43Swv- | 17,085 | Minor change about ARCHIVE_LIST for TF Data2Vec | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,651 | 1,651 | 1,651 | COLLABORATOR | null | # What does this PR do?
Just not to declare `DATA2VEC_VISION_PRETRAINED_MODEL_ARCHIVE_LIST` in TF test file.
But I don't mean to introduce it in the model (it was there already in that PR).
As we discussed before, it's better to just drop this variable, and use the checkpoint name directly in `test_model_from_pr... | {
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https://api.github.com/repos/huggingface/transformers/issues/17084 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17084/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17084/comments | https://api.github.com/repos/huggingface/transformers/issues/17084/events | https://github.com/huggingface/transformers/pull/17084 | 1,225,374,063 | PR_kwDOCUB6oc43SnVS | 17,084 | Update the _test_requirements to use the dev version of Accelerate | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,651 | 1,651 | 1,651 | CONTRIBUTOR | null | # What does this PR do?
Since there is rapid development of the Accelerate package, this includes the git version as a requirement for the examples in `_test_requirements.txt` for the examples, and also updates the CI to use that for installation only.
## Who can review?
Anyone in the community is free to revi... | {
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https://api.github.com/repos/huggingface/transformers/issues/17083 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17083/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17083/comments | https://api.github.com/repos/huggingface/transformers/issues/17083/events | https://github.com/huggingface/transformers/pull/17083 | 1,225,320,694 | PR_kwDOCUB6oc43ScDP | 17,083 | split single_gpu and multi_gpu | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"> Thanks for your PR! Did you launch it as a trial to see if it works? I see the following should be completed, on line 303:\r\n> \r\n> [setup, run_tests_gpu, run_examples_gpu, run_pipelines_tf_gpu, run_pipelines_torch_gpu, run_all_t... | 1,651 | 1,652 | 1,652 | COLLABORATOR | null | # What does this PR do?
Fix the scheduled CI issue caused by the 256 limits (jobs generated from matrix).
Note that the workflow run page has a graph that has no single-gpu and multi-gpu on it. But on the left side, the job names have matrix mentioned.
<img width="271" alt="Screenshot 2022-05-04 145601" src="h... | {
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https://api.github.com/repos/huggingface/transformers/issues/17082 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17082/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17082/comments | https://api.github.com/repos/huggingface/transformers/issues/17082/events | https://github.com/huggingface/transformers/pull/17082 | 1,225,265,359 | PR_kwDOCUB6oc43SQgg | 17,082 | Fix DeBERTa token_type_ids | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Great, thanks for looking into this! I also checked Microsoft's implementation and [it looks like](https://github.com/microsoft/DeBERTa/blob/c558ad99373dac695128c9ec45f39869aafd374e/DeBERTa/deberta/deberta.py#L77) they use `1` for se... | 1,651 | 1,651 | 1,651 | CONTRIBUTOR | null | # What does this PR do?
This PR fixes #15735. It changes the behavior of `DebertaTokenizer` and `DebertaTokenizerFast` when passing pair inputs. Before, the token type IDs were all `0`. This PR changes this so that the `token_type_id`s for the tokens of the second sentence are `1`.
It also adds a test case to te... | {
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https://api.github.com/repos/huggingface/transformers/issues/17081 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17081/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17081/comments | https://api.github.com/repos/huggingface/transformers/issues/17081/events | https://github.com/huggingface/transformers/issues/17081 | 1,225,149,220 | I_kwDOCUB6oc5JBksk | 17,081 | Error in mBART50 fast tokenizer `convert_tokens_to_string` method | {
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"Thanks a lot for the detailed issue, I, unfortunately, can't reproduce the error (as you can see on [this google colab](https://colab.research.google.com/drive/1g2LjQgRFH569E4E7lC0-EOmV3yNEDCPD?usp=sharing)).\r\n\r\nMy assumption is that you would have the version of `tokenizers` that has been deprecated since (`0... | 1,651 | 1,651 | 1,651 | CONTRIBUTOR | null | ### System Info
```shell
- `transformers` version: 4.18.0
- Platform: Linux-5.13.0-40-generic-x86_64-with-glibc2.29
- Python version: 3.8.10
- Huggingface_hub version: 0.5.1
- PyTorch version (GPU?): 1.11.0+cu113 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not insta... | {
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https://api.github.com/repos/huggingface/transformers/issues/17080 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17080/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17080/comments | https://api.github.com/repos/huggingface/transformers/issues/17080/events | https://github.com/huggingface/transformers/pull/17080 | 1,224,989,713 | PR_kwDOCUB6oc43RWv0 | 17,080 | Update _toctree.yml | {
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"This can't be added without the traduction of the `philosophy` page in Spanish, as you can see with the failing check above.",
"> This can't be added without the traduction of the `philosophy` page in Spanish, as you can see with the failing check above.\r\n\r\nI added it here: https://github.com/huggingface/tra... | 1,651 | 1,652 | 1,652 | CONTRIBUTOR | null | # What does this PR do?
<!--
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Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
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https://api.github.com/repos/huggingface/transformers/issues/17079 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17079/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17079/comments | https://api.github.com/repos/huggingface/transformers/issues/17079/events | https://github.com/huggingface/transformers/issues/17079 | 1,224,988,558 | I_kwDOCUB6oc5JA9eO | 17,079 | comet ml integration - add option to continue training | {
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"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md) a... | 1,651 | 1,655 | 1,655 | NONE | null | ### Feature request
when continuing training, it would be great to be able to also continue to log the training metrics to the comet ml experiment. comet_ml has a feature for it : it uses the class ExistingExperiment ( see https://www.comet.ml/docs/python-sdk/ExistingExperiment/ )
Thanks
### Motivation
It would be ... | {
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https://api.github.com/repos/huggingface/transformers/issues/17078 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17078/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17078/comments | https://api.github.com/repos/huggingface/transformers/issues/17078/events | https://github.com/huggingface/transformers/pull/17078 | 1,224,934,570 | PR_kwDOCUB6oc43RLfR | 17,078 | Added BigBirdPegasus onnx config | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_17078). All of your documentation changes will be reflected on that endpoint.",
"Hello @nandwalritik nice PR! \r\n\r\nI'm tagging maintainers for discussion @lewtun @sgugger .\r\n\r\nIf you have time when the work is ended,... | 1,651 | 1,651 | 1,651 | CONTRIBUTOR | null | # What does this PR do?
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Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
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"Likely Thursday!",
"Thank you very much!",
"It was released a few hours ago.",
"OK~ Thank you so much for your help!"
] | 1,651 | 1,652 | 1,652 | NONE | null | ### Feature request
The official 4.19 release
### Motivation
\
### Your contribution
\ | {
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https://api.github.com/repos/huggingface/transformers/issues/17076 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17076/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17076/comments | https://api.github.com/repos/huggingface/transformers/issues/17076/events | https://github.com/huggingface/transformers/pull/17076 | 1,224,812,715 | PR_kwDOCUB6oc43Qzeq | 17,076 | [ fast_tokenizers.mdx ] - Added translation to portuguese to tutorial | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@Fellip15 muito obrigado! I will be reviewing it.",
"@sgugger LGTM 🔥"
] | 1,651 | 1,652 | 1,652 | CONTRIBUTOR | null | # What does this PR do?
Creates folder pt in docs/source for translating documentation to Portuguese
Currently, only the installation.mdx file was translated as of this PR.
Fixes issue #16824
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the ... | {
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https://api.github.com/repos/huggingface/transformers/issues/17075 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/17075/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/17075/comments | https://api.github.com/repos/huggingface/transformers/issues/17075/events | https://github.com/huggingface/transformers/issues/17075 | 1,224,782,673 | I_kwDOCUB6oc5JALNR | 17,075 | Why training time is much more than same task in Fairseq? | {
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"Seems I didn't set the fp16 correctly----I should start the training by `torchrun --nproc_per_node=4 ` and set `--sharded_ddp zero_dp_3 `.",
"@ElderWanng Hey, I'm fairly new to machine learning. Can you tell me where do you run `torchrun --nproc_per_node=4` and `--sharded_ddp zero_dp_3`? Thank you",
"> @ElderW... | 1,651 | 1,654 | 1,651 | NONE | null | ### System Info
```shell
- `transformers` version: 4.19.0.dev0
- Platform: Linux-4.18.0-305.28.1.el8_4.x86_64-x86_64-with-glibc2.27
- Python version: 3.9.12
- Huggingface_hub version: 0.2.1
- PyTorch version (GPU?): 1.11.0 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): no... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"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 gu... | 1,651 | 1,654 | 1,654 | CONTRIBUTOR | null | # What does this PR do?
Translate en/quicktour.mdx into a brazilian portuguese version.
May be worth checking some words and terms translation to maintain continuity between all portuguese translations.
## Before submitting
- [X] This PR fixes a typo or improves the docs (you can dismiss the other checks if tha... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"(I don't really follow the `... ) # doctest: +SKIP`) thing. If you have a bit time, it would be great if you can explain a bit to me what issue we have previously.",
"Generation is random @ydshieh so the results will be different f... | 1,651 | 1,651 | 1,651 | MEMBER | null | Clean PR of #17013 to fix doctests for the `pipeline` tutorial:
- Updated output values in vision example as suggested by @ydshieh.
- Fixed output format issues. Showing each output result on a new line fails :( | {
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"This is not a maintained example, so I don't think this will be fixed any time soon (just my 2 cents since I'm tagged, I have never seen this notebook before ;-))",
"Understood. It falls under the research_projects folder here: https://github.com/huggingface/transformers/tree/main/examples/research_projects/zero... | 1,651 | 1,651 | 1,651 | NONE | null | ### System Info
```shell
- `transformers` version: 4.18.0
- Platform: Linux-5.4.0-109-generic-x86_64-with-glibc2.27
- Python version: 3.8.2
- Huggingface_hub version: 0.5.1
- PyTorch version (GPU?): 1.11.0+cu102 (False)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installe... | {
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