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https://api.github.com/repos/huggingface/transformers/issues/12444 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12444/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12444/comments | https://api.github.com/repos/huggingface/transformers/issues/12444/events | https://github.com/huggingface/transformers/issues/12444 | 933,902,336 | MDU6SXNzdWU5MzM5MDIzMzY= | 12,444 | Cannot load model saved with AutoModelForMaskedLM.from_pretrained if state_dict = True | {
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"Hello! You can find the documentation regarding `from_pretrained` here: https://huggingface.co/transformers/main_classes/model.html#transformers.PreTrainedModel.from_pretrained\r\n\r\nNamely, regarding the state dict:\r\n```\r\nstate_dict (Dict[str, torch.Tensor], optional) –\r\n A state dictionary to use inste... | 1,625 | 1,628 | 1,628 | NONE | null | Hello,
It seems that setting the `state_dict=True` flag in a model's `.save_pretrained` method breaks the load process for `AutoModelForMaskedLM.from_pretrained`
The following code works
```
from transformers import AutoModelForMaskedLM
model = AutoModelForMaskedLM.from_pretrained('distilroberta-base')
mode... | {
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"This also concerns a badly chosen duplicate of `Wav2Vec2FeatureExtractor` as part of `modeling_wav2vec2.py` since it's also the \"FeatureExtractor\" in `feature_extraction_wav2Vec2.py` -> should be corrected as well.",
"This issue has been automatically marked as stale because it has not had recent activity. If ... | 1,625 | 1,629 | null | MEMBER | null | Wav2Vec2's classes have too many names, *e.g.*: FlaxWav2Vec2EncoderLayerStableLayerNormCollection.
We should make those names easier (reminder for myself @patrickvonplaten to do this) | {
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"It's mostly done. I can successfully create a new model with flax. See #12454\r\nTODO:\r\n* Finish modeling_flax for encoder-decoder architecture\r\n* Tests are mapped from tf to np, need fixes.\r\n* Refactor coockie-cutter workflow, make flax blend in with pytorch, tensorflow.\r\n* ??",
"I think only the test f... | 1,625 | 1,630 | 1,630 | CONTRIBUTOR | null | # What does this PR do?
Fixes #12440
## From Patrick
@LysandreJik @sgugger Previously both the PT and TF encoder-decoder templates tests weren't run because the test name didn't match the "*template*" regex - I've fixed that here as pointed out in the comment below.
@cccntu added both FlaxBERT and FlaxBART t... | {
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"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/master/CONTRIBUTING.md)... | 1,625 | 1,630 | 1,630 | CONTRIBUTOR | null | # 🚀 Feature request
Add cookiecutter template for adding flax model.
## Motivation
There is no cookiecutter template for adding flax model.
## Your contribution
I am trying to add a flax model (#12411), I think it's a good opportunity to create a template at the same time. Can I work on this? Any sugges... | {
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https://api.github.com/repos/huggingface/transformers/issues/12439 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12439/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12439/comments | https://api.github.com/repos/huggingface/transformers/issues/12439/events | https://github.com/huggingface/transformers/issues/12439 | 933,657,370 | MDU6SXNzdWU5MzM2NTczNzA= | 12,439 | Expand text-generation pipeline support for other causal models e.g., BigBirdForCausalLM | {
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Tried using the text generation pipeline (TextGenerationPipeline) with BigBirdForCausalLM but seems like the pipeline currently only supports a limited number of models. Is there a reason for this? Is there a workaround short of implementing the pipeline myself? Thank you.
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https://api.github.com/repos/huggingface/transformers/issues/12438 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12438/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12438/comments | https://api.github.com/repos/huggingface/transformers/issues/12438/events | https://github.com/huggingface/transformers/issues/12438 | 933,649,789 | MDU6SXNzdWU5MzM2NDk3ODk= | 12,438 | IndexError: index out of bound, MLM+XLA (pre-training) | {
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"Maybe @lhoestq has an idea for the error in `datasets`",
"@lhoestq Any possible leads as to who can solve this bug?",
"This is the full traceback BTW, If it may help things going. I am also willing to create a reproducible Colab if you guys want:-\r\n````js\r\n06/28/2021 17:23:13 - WARNING - run_mlm - Process ... | 1,625 | 1,625 | 1,625 | NONE | null | ## Environment info
- `transformers` version: 4.9.0.dev0
- Platform: Linux-5.4.104+-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.7.10
- PyTorch version (GPU?): 1.9.0+cu102 (False)
- Tensorflow version (GPU?): 2.5.0 (False)
- Flax version (CPU?/GPU?/TPU?): 0.3.4 (cpu)
- Jax version: 0.2.13
- JaxLib vers... | {
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https://api.github.com/repos/huggingface/transformers/issues/12437 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12437/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12437/comments | https://api.github.com/repos/huggingface/transformers/issues/12437/events | https://github.com/huggingface/transformers/pull/12437 | 933,594,990 | MDExOlB1bGxSZXF1ZXN0NjgwNzc4MTc2 | 12,437 | Add test for a WordLevel tokenizer model | {
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In this PR I propose to add a test for the feature developed in PR #12361. Unless I'm mistaken, no language model tested currently uses a tokenizer that would use the WordLevel model.
The tokenizer created for this test is hosted here: [https://hf.co/robot-test/dummy-tokenizer-wordlevel](... | {
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"Great idea! Do you want to take a stab at it?",
"Hi @alexvaca0,\r\nThis is an interesting feature, \r\nBut I was curious that Deberta, Bert, and Roberta are encoder-based models so there is no decoder part right? I checked their model class and I could not find the Decoder / EncoderDecoder class!\r\nCan you plea... | 1,625 | 1,674 | null | NONE | null | # 🚀 Feature request
Add DEBERTA-base model as an option for creating an EncoderDecoderModel.
## Motivation
Currently only BERT and RoBERTa models can be transformed to a Seq2Seq model via EncoderDecoder class, and for those of use developing DeBERTa models from scratch it would be wonderful to be able to gene... | {
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https://api.github.com/repos/huggingface/transformers/issues/12435 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12435/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12435/comments | https://api.github.com/repos/huggingface/transformers/issues/12435/events | https://github.com/huggingface/transformers/issues/12435 | 933,586,798 | MDU6SXNzdWU5MzM1ODY3OTg= | 12,435 | Using huggingface Pipeline in industry | {
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"The pipeline is a simple wrapper over the model and tokenizer. When using a pipeline in production you should be aware of:\r\n- The pipeline is doing simple pre and post-processing reflecting the model's behavior. If you want to understand how the pipeline behaves, you should understand how the model behaves as th... | 1,625 | 1,625 | 1,625 | NONE | null | Hi,
I was wondering if there is anything to be aware of when using your sentiment-analysis pipeline for industry projects at work. Are there any limitations to what I can or cannot do?
Thank you for your always amazing service.
Lasse | {
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"Given that when running this command I'm getting ~30 training iterations per second, I'm assuming though that it's just a warning and not an error.",
"I am getting the same errors here. Also noting that the parameters from TrainingArguments are written at the start of the run_mlm_script, I see a few weird settin... | 1,625 | 1,635 | 1,626 | MEMBER | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: 4.9.0.dev0
- Platform: Linux-5.4.0-1043-gcp-x86_64-with-glibc2.29
- Python version: 3.8.5
- PyTorch version ... | {
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https://api.github.com/repos/huggingface/transformers/issues/12433 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12433/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12433/comments | https://api.github.com/repos/huggingface/transformers/issues/12433/events | https://github.com/huggingface/transformers/pull/12433 | 933,502,288 | MDExOlB1bGxSZXF1ZXN0NjgwNjk3OTc3 | 12,433 | Added to talks section | {
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https://api.github.com/repos/huggingface/transformers/issues/12432 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12432/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12432/comments | https://api.github.com/repos/huggingface/transformers/issues/12432/events | https://github.com/huggingface/transformers/pull/12432 | 933,498,457 | MDExOlB1bGxSZXF1ZXN0NjgwNjk0ODI0 | 12,432 | fix typo in mt5 configuration docstring | {
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"Thank you!"
] | 1,625 | 1,625 | 1,625 | CONTRIBUTOR | null | default vocab_size value is written incorrectly in docstring. this pr updates the mt5 configuration docstring. | {
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https://api.github.com/repos/huggingface/transformers/issues/12431 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12431/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12431/comments | https://api.github.com/repos/huggingface/transformers/issues/12431/events | https://github.com/huggingface/transformers/issues/12431 | 933,457,919 | MDU6SXNzdWU5MzM0NTc5MTk= | 12,431 | how to continue pre-train custom data | {
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"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/master/CONTRIBUTING.md)... | 1,625 | 1,628 | 1,628 | NONE | null | 1.problem
I want to pretrain my specific data, reset the numbers of the encoders or layers.
can you offer an interface to load our custom data which is like json or other type to
pretrain. the LMASK, NSP,PE is packaged in the interface.
| {
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https://api.github.com/repos/huggingface/transformers/issues/12430 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12430/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12430/comments | https://api.github.com/repos/huggingface/transformers/issues/12430/events | https://github.com/huggingface/transformers/issues/12430 | 933,446,596 | MDU6SXNzdWU5MzM0NDY1OTY= | 12,430 | Distilling zero-shot classification: Assertion `srcIndex < srcSelectDimSize` failed. | {
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"Found a solution by reducing the input size of the text, and limiting it by the model's max_position_embeddings. ",
"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 th... | 1,625 | 1,629 | 1,629 | NONE | null | ## Environment info
tokenizers 0.10.2
torch 1.8.1+cu111
transformers 4.5.1
datasets 1.6.1
IPython 7.19.0
jupyter_client 6.1.7
jupyter_core 4.6.3
jupyterlab 2.2.6
notebook 6.1.4
Python 3.8.5 (default, Sep 3 2020, 21:29:08... | {
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https://api.github.com/repos/huggingface/transformers/issues/12429 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12429/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12429/comments | https://api.github.com/repos/huggingface/transformers/issues/12429/events | https://github.com/huggingface/transformers/pull/12429 | 933,410,355 | MDExOlB1bGxSZXF1ZXN0NjgwNjIwNDU5 | 12,429 | Add default bos_token and eos_token for tokenizer of deberta_v2 | {
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Add default bos_token and eos_token for tokenizer of deberta_v2
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [X] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/master... | {
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https://api.github.com/repos/huggingface/transformers/issues/12428 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12428/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12428/comments | https://api.github.com/repos/huggingface/transformers/issues/12428/events | https://github.com/huggingface/transformers/issues/12428 | 933,371,817 | MDU6SXNzdWU5MzMzNzE4MTc= | 12,428 | [DeBerta V2] The vocab size of DeBerta V2 is incorrect | {
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"Maybe @BigBird01 can chime in :)",
"@LysandreJik I emailed to the author. He leave some space to add customized tokens for downstream tasks and this is by design.",
"v2/v3: 128000 + 100 (special tokens, unused tokens, e.g. reservation for PostOCR customized tokens) ---> 128100 in total\r\n\r\nhttps://huggingfa... | 1,625 | 1,680 | 1,625 | CONTRIBUTOR | null | ### Who can help
@LysandreJik
## Information
I am using Deberta V2. The document and vocab of the tokenizer shows that its vocab size is 128K. But the vocab size in its [configuration](https://huggingface.co/microsoft/deberta-v2-xlarge/resolve/main/config.json) is 128100 which is 100 larger.
![image](https://... | {
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https://api.github.com/repos/huggingface/transformers/issues/12427 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12427/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12427/comments | https://api.github.com/repos/huggingface/transformers/issues/12427/events | https://github.com/huggingface/transformers/issues/12427 | 933,363,076 | MDU6SXNzdWU5MzMzNjMwNzY= | 12,427 | [DeepSpeed] Convert from fp16 to fp32 issue zero_to_fp32.py | {
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"Thank you for this excellent report, @srikar2097 \r\n\r\nThis is fascinating!\r\n\r\nWhere is `zero_pp_rank_5_mp_rank_00_optim_states.pt`? I presume this was an 8-gpu run, so we are missing one rank.\r\n\r\nCould you re-run again and see if it was a fluke? Clearly one process failed to save its optimizer states.\r... | 1,625 | 1,628 | 1,628 | NONE | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: 4.7.0
- Platform: Linux-4.4.0-1128-aws-x86_64-with-debian-stretch-sid
- Python version: 3.7.6
- PyTorch vers... | {
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https://api.github.com/repos/huggingface/transformers/issues/12426 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12426/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12426/comments | https://api.github.com/repos/huggingface/transformers/issues/12426/events | https://github.com/huggingface/transformers/issues/12426 | 933,311,987 | MDU6SXNzdWU5MzMzMTE5ODc= | 12,426 | [roberta] lm_head.decoder save/load needs fixing | {
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"Indeed, the key should be added to the keys to ignore on save, and expected missing keys.\r\n\r\nThanks for your investigation!",
"What if someone sets `config.tie_word_embeddings=False`. Should the save/expected keys be dynamically adjusted in `__init__`? \r\n\r\nor do it the other way around - have `lm_head.de... | 1,625 | 1,625 | 1,625 | CONTRIBUTOR | null | ```
from transformers import AutoModelForMaskedLM
model = AutoModelForMaskedLM.from_pretrained("distilroberta-base")
print('decoder.weight' in dict(model.lm_head.named_parameters()).keys())
print('dense.weight' in dict(model.lm_head.named_parameters()).keys())
print('lm_head.decoder.weight' in dict(model.named... | {
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https://api.github.com/repos/huggingface/transformers/issues/12425 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12425/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12425/comments | https://api.github.com/repos/huggingface/transformers/issues/12425/events | https://github.com/huggingface/transformers/issues/12425 | 933,218,888 | MDU6SXNzdWU5MzMyMTg4ODg= | 12,425 | Loading custom model | {
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"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/master/CONTRIBUTING.md)... | 1,625 | 1,631 | 1,628 | NONE | null | I had changed the definition of a token classification model and added another output head. Now when I try to load the model using AutoModelForTokenClassification it does not load the weights of the modified final layer which I had added. Is there any other class I can use to load this custom model. | {
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https://api.github.com/repos/huggingface/transformers/issues/12424 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12424/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12424/comments | https://api.github.com/repos/huggingface/transformers/issues/12424/events | https://github.com/huggingface/transformers/pull/12424 | 933,135,832 | MDExOlB1bGxSZXF1ZXN0NjgwMzkwNDUx | 12,424 | Fix default bool in argparser | {
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"Do you want to pull in the test snippet from the issue to make sure it doesn't happen again? That test doesn't actually parse any arguments at the moment, so it relies on the argparser being configured right in the test, which is more error prone than just parsing simple things and checking them."
] | 1,625 | 1,625 | 1,625 | COLLABORATOR | null | # What does this PR do?
As outlined in #12423, in a dataclass with no default for a bool parameter, the bool ended up defaulting to `True` when not passed, which is the opposite of the wanted behavior.
Fixes #12423 | {
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"If you agree this is a bug in the parsing logic then we'd be happy to fix it and send a PR.",
"Yes, it does look like a bug. Fix is quite simple, I can make a PR.",
"Ok thanks. That saves me a job later this week.",
"If you want to have a look at the PR mentioned above and check it does give the expected beh... | 1,625 | 1,625 | 1,625 | CONTRIBUTOR | null | ## Environment info
- `transformers` version: 4.9.0.dev0 (initially discovered on 4.8.1)
- Platform: macOS-11.4-x86_64-i386-64bit
- Python version: 3.9.5
- PyTorch version (GPU?): not installed (NA)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version:... | {
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https://api.github.com/repos/huggingface/transformers/issues/12422 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12422/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12422/comments | https://api.github.com/repos/huggingface/transformers/issues/12422/events | https://github.com/huggingface/transformers/pull/12422 | 933,112,365 | MDExOlB1bGxSZXF1ZXN0NjgwMzcwNjMy | 12,422 | [modelcard] fix | {
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@sgugger | {
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https://api.github.com/repos/huggingface/transformers/issues/12421 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12421/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12421/comments | https://api.github.com/repos/huggingface/transformers/issues/12421/events | https://github.com/huggingface/transformers/pull/12421 | 933,021,541 | MDExOlB1bGxSZXF1ZXN0NjgwMjkyODUz | 12,421 | Add option to save on each training node | {
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There is currently a problem when using `load_best_model_at_end=True` on a training with multiple nodes: the model is only saved on the main process (so the machine rank 0) and machine with other ranks can't see the saved model (unless the system uses some kind of shared storage). This PR add... | {
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https://api.github.com/repos/huggingface/transformers/issues/12420 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12420/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12420/comments | https://api.github.com/repos/huggingface/transformers/issues/12420/events | https://github.com/huggingface/transformers/pull/12420 | 932,930,367 | MDExOlB1bGxSZXF1ZXN0NjgwMjE1MjY1 | 12,420 | Easily train a new fast tokenizer from a given one - tackle the special tokens format (str or AddedToken) | {
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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/12419 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12419/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12419/comments | https://api.github.com/repos/huggingface/transformers/issues/12419/events | https://github.com/huggingface/transformers/pull/12419 | 932,926,109 | MDExOlB1bGxSZXF1ZXN0NjgwMjExNTk4 | 12,419 | [JAX/Flax readme] add philosophy doc | {
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"Thanks a lot Patrick for the awesome images :)\r\n\r\n"
] | 1,624 | 1,625 | 1,625 | MEMBER | null | # What does this PR do?
Adds a section about Flax's design philosophy in Transformers. | {
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https://api.github.com/repos/huggingface/transformers/issues/12418 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12418/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12418/comments | https://api.github.com/repos/huggingface/transformers/issues/12418/events | https://github.com/huggingface/transformers/issues/12418 | 932,864,894 | MDU6SXNzdWU5MzI4NjQ4OTQ= | 12,418 | DeepSpeed gets stuck when training | {
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"I added your changes to the original and I am not able to reproduce the hanging with \"EleutherAI/gpt-neo-2.7B\" as it is in the original.\r\n\r\nI'm on transformers master, but I don't think it makes any difference.\r\n\r\nIf you want me to try anything else please fork https://github.com/dredwardhyde/gpt-neo-fin... | 1,624 | 1,708 | 1,629 | NONE | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: 4.8.1
- Platform: Linux-4.15.0-140-generic-x86_64-with-debian-buster-sid
- Python version: 3.7.10
- PyTorch ... | {
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https://api.github.com/repos/huggingface/transformers/issues/12417 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12417/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12417/comments | https://api.github.com/repos/huggingface/transformers/issues/12417/events | https://github.com/huggingface/transformers/pull/12417 | 932,806,357 | MDExOlB1bGxSZXF1ZXN0NjgwMTA4MTk2 | 12,417 | Raises an error when BertTokenizer is initialized from BertJapaneseTokenizer | {
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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/12416 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12416/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12416/comments | https://api.github.com/repos/huggingface/transformers/issues/12416/events | https://github.com/huggingface/transformers/issues/12416 | 932,791,544 | MDU6SXNzdWU5MzI3OTE1NDQ= | 12,416 | BertTokenizer with BertJapaneseTokenizer pretrained model generates unintended tokenization. | {
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"I think you're raising a good issue that tokenizers will not tell you when they're instantiated from a checkpoint that doesn't have the same tokenizer architecture.\r\n\r\nHowever, I think this should be resolved for all tokenizers rather than for a single one, probably by checking the `tokenizer_class` inside the... | 1,624 | 1,626 | 1,626 | CONTRIBUTOR | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: 4.9.0.dev0
- Platform: Windows-10-10.0.19043-SP0
- Python version: 3.9.5
- PyTorch version (GPU?): 1.9.0+cpu... | {
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https://api.github.com/repos/huggingface/transformers/issues/12415 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12415/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12415/comments | https://api.github.com/repos/huggingface/transformers/issues/12415/events | https://github.com/huggingface/transformers/pull/12415 | 932,777,819 | MDExOlB1bGxSZXF1ZXN0NjgwMDgyODgw | 12,415 | Added talks | {
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"Awesome looks great!"
] | 1,624 | 1,624 | 1,624 | CONTRIBUTOR | null | Added info on talks and speakers from our doc, will add remaining speaker info tomorrow (there's still a bit to be confirmed). | {
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https://api.github.com/repos/huggingface/transformers/issues/12414 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12414/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12414/comments | https://api.github.com/repos/huggingface/transformers/issues/12414/events | https://github.com/huggingface/transformers/issues/12414 | 932,761,141 | MDU6SXNzdWU5MzI3NjExNDE= | 12,414 | Streaming mode in training examples | {
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"Hey @gsarti,\r\n\r\nThat's a great issue! We will provide at least one streaming example until Friday :-)",
"For future watchers, @patrickvonplaten is working on this in #12470! Thanks!",
"Note that it's actually `datasets` 1.9.0 that will probably be released on Monday that will feature Streaming.\r\nFor now ... | 1,624 | 1,625 | 1,625 | CONTRIBUTOR | null | # 🚀 Feature request
The v1.8,0 of `datasets` introduced [streaming mode](https://huggingface.co/docs/datasets/master/dataset_streaming.html). It would be very useful to include this mode in the training examples, either with a parameter `--stream_dataset` or an ad-hoc training script if radical changes are required... | {
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https://api.github.com/repos/huggingface/transformers/issues/12413 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12413/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12413/comments | https://api.github.com/repos/huggingface/transformers/issues/12413/events | https://github.com/huggingface/transformers/issues/12413 | 932,698,898 | MDU6SXNzdWU5MzI2OTg4OTg= | 12,413 | Benchmark Colab does not work | {
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"This issue is related directly to Google Colab environment. I ran same code on my local machine (CPU only) and whole benchmark has passed.\r\n\r\n```{python}\r\nfrom transformers import TensorFlowBenchmark, TensorFlowBenchmarkArguments\r\nargs = TensorFlowBenchmarkArguments(models=[\"bert-base-uncased\"], batch_si... | 1,624 | 1,628 | 1,628 | CONTRIBUTOR | null | https://colab.research.google.com/github/huggingface/notebooks/blob/master/transformers_doc/tensorflow/benchmarks.ipynb
(https://huggingface.co/transformers/benchmarks.html?highlight=benchmark)
Running the above Colab on a CPU crashes with:
```
1 / 1
Process killed. Error in Process
Process killed. Error in P... | {
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https://api.github.com/repos/huggingface/transformers/issues/12412 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12412/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12412/comments | https://api.github.com/repos/huggingface/transformers/issues/12412/events | https://github.com/huggingface/transformers/pull/12412 | 932,554,342 | MDExOlB1bGxSZXF1ZXN0Njc5ODgzMDA1 | 12,412 | fix ids_to_tokens naming error in tokenizer of deberta v2 | {
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"ids_to_tokens" is named as "id_to_tokens" in tokenizer of deberta v2, which may cause an exception when "convert_ids_to_tokens" is called. So fix ids_to_tokens naming error in tokenizer of deberta v2.
## Before submitting
- [X] This PR fixes a typo or improves the docs (you can dismiss ... | {
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https://api.github.com/repos/huggingface/transformers/issues/12411 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12411/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12411/comments | https://api.github.com/repos/huggingface/transformers/issues/12411/events | https://github.com/huggingface/transformers/issues/12411 | 932,552,566 | MDU6SXNzdWU5MzI1NTI1NjY= | 12,411 | 🌟 New model addition: FNet | {
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"Somebody is already working on this, see #12335 ",
"Thanks @NielsRogge , weird that I didn't see it when I searched.",
"@cccntu I believe what you want for the JAX/Flax community week is a Flax model. It seems unlikely that I will finish the PR in the next week. Maybe, you can start working on the Flax model p... | 1,624 | 1,624 | null | CONTRIBUTOR | null | # 🌟 New model addition: FNet
FNet is a highly efficient Transformer-like encoder architecture, wherein the self-attention sublayers have been wholly replaced by standard, unparameterized Fourier Transforms.
I would like to help adding this!
## Open source status
* [x] the model implementation is availabl... | {
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https://api.github.com/repos/huggingface/transformers/issues/12410 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12410/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12410/comments | https://api.github.com/repos/huggingface/transformers/issues/12410/events | https://github.com/huggingface/transformers/issues/12410 | 932,510,878 | MDU6SXNzdWU5MzI1MTA4Nzg= | 12,410 | New Model: Charformer: Fast Character Transformers via Gradient-based Subword Tokenization | {
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"Code is out now:\r\n\r\nhttps://github.com/google-research/google-research/tree/master/charformer (please note the different url - compared to paper url)",
"An unofficial PyTorch implementation for Charformer https://github.com/lucidrains/charformer-pytorch",
"Thanks for the great work!\r\nWill charformer be s... | 1,624 | 1,664 | null | NONE | null | # 🌟 New model addition
## Model description
arXiv = https://arxiv.org/pdf/2106.12672.pdf (pre-print; under review)
In this paper, they introduce a soft gradient-based subword tokenization module (GBST) that automatically learns latent subword representations from characters in a data-driven fashion. More impo... | {
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https://api.github.com/repos/huggingface/transformers/issues/12409 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12409/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12409/comments | https://api.github.com/repos/huggingface/transformers/issues/12409/events | https://github.com/huggingface/transformers/pull/12409 | 932,369,504 | MDExOlB1bGxSZXF1ZXN0Njc5NzIyOTQx | 12,409 | [Flax] Example scripts - correct weight decay | {
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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.
Then, please replace this w... | {
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"If it was an 'or' operation, then with `raw_datasets = [\"validation\"]`, the second part of the statement would return `True` which would raise an error"
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https://api.github.com/repos/huggingface/transformers/issues/12407 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12407/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12407/comments | https://api.github.com/repos/huggingface/transformers/issues/12407/events | https://github.com/huggingface/transformers/pull/12407 | 932,207,936 | MDExOlB1bGxSZXF1ZXN0Njc5NTg3NDAx | 12,407 | Validation split added: custom data files @sgugger, @patil-suraj | {
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"@sgugger \r\n@patil-suraj \r\n",
"@sgugger\r\n@patil-suraj\r\nMade the necessary changes.. please see and comment.",
"Hopefully done now!",
"All good now, thanks!"
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# What does this PR do?
Validation split added in case of no validation file and loading custom data for TensorFlow examples run_mlm.py file
Fixes # (issue)
Issue #12406 fixed.
Docs on language modeling TensorFlow updated.
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"Log:\r\nGrouping texts in chunks of 512: 100% 87/87 [00:26<00:00, 3.25ba/s]\r\nTraceback (most recent call last):\r\n File \"./transformers/examples/tensorflow/language-modeling/run_mlm.py\", line 604, in <module>\r\n main()\r\n File \"./transformers/examples/tensorflow/language-modeling/run_mlm.py\", line 4... | 1,624 | 1,625 | 1,625 | CONTRIBUTOR | null | ## Environment info
- `transformers` version: 4.9.0.dev0
- Platform: Linux-5.4.104+-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.7.10
- PyTorch version (GPU?): 1.9.0+cu102 (True)
- Tensorflow version (GPU?): 2.5.0 (True)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not installed
-... | {
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https://api.github.com/repos/huggingface/transformers/issues/12405 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12405/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12405/comments | https://api.github.com/repos/huggingface/transformers/issues/12405/events | https://github.com/huggingface/transformers/pull/12405 | 932,091,212 | MDExOlB1bGxSZXF1ZXN0Njc5NDg5MDg0 | 12,405 | Fix for the issue of device-id getting hardcoded for token_type-ids during Tracing for iBert | {
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"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/master/CONTRIBUTING.md)... | 1,624 | 1,635 | 1,635 | CONTRIBUTOR | null | # What does this PR do?
This PR is part of a series of PRs that follows PR #11252 and applies similar changes to Flaubert.
Fixes # (issue)
issue #5664
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [X] Did you read the [contributor g... | {
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https://api.github.com/repos/huggingface/transformers/issues/12404 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12404/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12404/comments | https://api.github.com/repos/huggingface/transformers/issues/12404/events | https://github.com/huggingface/transformers/issues/12404 | 931,994,007 | MDU6SXNzdWU5MzE5OTQwMDc= | 12,404 | [FLAX] Core dump using example code | {
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"I got the same error, I temporarily fixed it with this [patch](https://katb.in/meow2590). \r\n",
"Thanks a lot. I was actually also able solve this issue by using flax from the git.\r\ngit clone https://github.com/google/flax.git\r\npip install --user -e flax\r\n",
"Thanks, I will try it too",
"Hey @Wikidep... | 1,624 | 1,629 | 1,629 | CONTRIBUTOR | null |
## Environment info
- `transformers` version: 4.8.1
- `flax` version: 0.3.4
- `python` version: 3.8.5
## Who can help
@patrickvonplaten
## Models:
FLAX - RoBERTa MLM
## Information
Following the official guides for creating VMs and TPUs:
https://cloud.google.com/tpu/docs/jax-quickstart-tpu-vm
Foll... | {
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https://api.github.com/repos/huggingface/transformers/issues/12403 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12403/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12403/comments | https://api.github.com/repos/huggingface/transformers/issues/12403/events | https://github.com/huggingface/transformers/issues/12403 | 931,875,378 | MDU6SXNzdWU5MzE4NzUzNzg= | 12,403 | [Deepspeed][initialization] pegasus: unable to load/init the weights | {
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"Thank you for the report, @sajastu \r\n\r\nCould you please adjust the command line in your report so that it uses some small public dataset and not custom files which we don't have?\r\n\r\nThen I will sort it out.\r\n\r\nThank you.\r\n",
"Sure thing! @stas00 \r\n\r\nPlease let me modify the script, and then tes... | 1,624 | 1,625 | 1,625 | NONE | null | ## Environment info
- `transformers` version: 4.9.0.dev0
- Platform: Ubuntu
- Python version: 3.8
- PyTorch version (GPU?): Y
- Using GPU in script?: Y
- Using distributed or parallel set-up in script?: Y
_- Deepspeed version: deepspeed 0.4.1 (installed with pip)_
@stas00,
## Information
I'm trying... | {
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## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/master/CONTRIBUTING.md#start-contributing-pull-requests),
Pull R... | {
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https://api.github.com/repos/huggingface/transformers/issues/12401 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12401/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12401/comments | https://api.github.com/repos/huggingface/transformers/issues/12401/events | https://github.com/huggingface/transformers/pull/12401 | 931,847,800 | MDExOlB1bGxSZXF1ZXN0Njc5Mjc3MjE1 | 12,401 | [Deepspeed] match the trainer log level | {
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Once https://github.com/microsoft/DeepSpeed/pull/1190 is merged running the trainer with `--log_level error --log_level_replica error` with deepspeed is absolutely silent, just gives you the training results.
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"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/master/CONTRIBUTING.md)... | 1,624 | 1,628 | 1,628 | NONE | null | To the best of my knowledge literature on question answering computes the probability of a span by first computing the probability for a token to be the start token or the end token independently and then multiplying those probabilities. In contrast, the [postprocess_qa_predictions](https://github.com/huggingface/trans... | {
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https://api.github.com/repos/huggingface/transformers/issues/12398 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12398/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12398/comments | https://api.github.com/repos/huggingface/transformers/issues/12398/events | https://github.com/huggingface/transformers/pull/12398 | 931,684,685 | MDExOlB1bGxSZXF1ZXN0Njc5MTQwOTE4 | 12,398 | [Flax community event] Add more description to readme | {
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"Thanks a lot for the feedback!"
] | 1,624 | 1,624 | 1,624 | MEMBER | null | # What does this PR do?
<!--
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"Ok thanks, I just will let Lysandre review the `try:except` block, that's the only thing remaining.",
"> This looks good, but why did you change `rjieba` to `jieba`? Is the latter better?\r\n\r\n@LysandreJik\r\nI want to use `Hosted inference API` in https://huggingface.co. \r\n![image](https://user-images.githu... | 1,624 | 1,625 | 1,625 | CONTRIBUTOR | null | # What does this PR do?
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"Hello, do you have a reproducible code example that showcases what's in your variables such as `input_embeddings`? Thank you!",
"Did not mention parameters like input_embeddings, however input looks like below:\r\n\r\n\r\n\r\ntensor([[[-0.0129, -0.0099, 0.2570, ..., -0.1841, 0.3609, 0.2851],\r\n [-0.... | 1,624 | 1,628 | 1,628 | NONE | null | config = BertConfig.from_pretrained("bert-base-uncased")
self.bert = BertModel.from_pretrained("bert-base-uncased")
sequence_output = self.bert(
inputs_embeds=input_embeddings,
position_ids=position_ids,
token_type_ids=token_type_ids,
attention_mask=attention_mask... | {
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https://api.github.com/repos/huggingface/transformers/issues/12395 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12395/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12395/comments | https://api.github.com/repos/huggingface/transformers/issues/12395/events | https://github.com/huggingface/transformers/pull/12395 | 931,624,626 | MDExOlB1bGxSZXF1ZXN0Njc5MDkxMzEy | 12,395 | Minor fixes in original RAG training script | {
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1. Did a minor fix for the original RAG's fine-tuning script in order to train with distributed GPU architectures (multiple node).
2. Corrected a typo in callbacks_rag.py
Who can review?
@lhoestq @patrickvonplaten
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"We did some with Lysandre, but I can rerun some more checks before we merge, just to be sure we are not breaking anything 👍🏻 "
] | 1,624 | 1,624 | 1,624 | MEMBER | null | This change makes it easier to optimize for exporting libraries such as ONNX and/or TensorRT. | {
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"Looks good, maybe also add a `requirements.txt` file? "
] | 1,624 | 1,624 | 1,624 | MEMBER | null | # What does this PR do?
This PR adds readme with instructions for the summarization example. | {
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"I can review this! Ping me when you are ready.",
"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/h... | 1,624 | 1,648 | null | CONTRIBUTOR | null | #11377
Started implementation of GLM model.
@patil-suraj
## Before submitting
- [ ] 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/master/CONTRIBUTING.md#start-co... | {
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"@patil-suraj, I think we should also add a `README.md` for the summarization example (this will probs be used a lot during the sprint)."
] | 1,624 | 1,624 | 1,624 | MEMBER | null | # What does this PR do?
This PR adapts all Flax examples to automatically push trained checkpoints to the hub | {
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- `transformers` version: 4.8.1
- Platform: Linux-5.4.0-74-generic-x86_64-with-glibc2.31
- Python version: 3.9.5
- PyTorch version (GPU?): 1.9.0+cu111 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not installed
- Jax... | {
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<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
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- Platform: Linux-5.4.0-74-generic-x86_64-with-glibc2.29
- Python version: 3.8.5
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https://api.github.com/repos/huggingface/transformers/issues/12388 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12388/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12388/comments | https://api.github.com/repos/huggingface/transformers/issues/12388/events | https://github.com/huggingface/transformers/pull/12388 | 931,259,780 | MDExOlB1bGxSZXF1ZXN0Njc4NzgxODE1 | 12,388 | Onnx export v2 fixes | {
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The second commit addresses code quality issues.
Remaining TODOs before merging:
- Add a test for all supported architectures
- Write a small Usage doc | {
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https://api.github.com/repos/huggingface/transformers/issues/12387 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12387/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12387/comments | https://api.github.com/repos/huggingface/transformers/issues/12387/events | https://github.com/huggingface/transformers/issues/12387 | 931,166,505 | MDU6SXNzdWU5MzExNjY1MDU= | 12,387 | Connot correctly fine-tune Bert for generation | {
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"Hi Stas, Suraj, Sylvain (@stas00 @patil-suraj @sgugger),\r\n\r\nWould you please to give some helps on using the `finetune_trainer.py` [file](https://github.com/huggingface/transformers/blob/master/examples/legacy/seq2seq/finetune_trainer.py) for BertGen?\r\n\r\nThank you very much!\r\n\r\n",
"It looks like @pat... | 1,624 | 1,631 | 1,631 | NONE | null | # 📚 Migration
## Information
<!-- Important information -->
Model I am using Bert for generation (a Seq2Seq style):
The problem arises when using:
* The official example scripts from : [transformers/examples/legacy/seq2seq/finetune_trainer.py](https://github.com/huggingface/transformers/blob/master/exampl... | {
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https://api.github.com/repos/huggingface/transformers/issues/12386 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12386/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12386/comments | https://api.github.com/repos/huggingface/transformers/issues/12386/events | https://github.com/huggingface/transformers/issues/12386 | 931,152,457 | MDU6SXNzdWU5MzExNTI0NTc= | 12,386 | A model or a config like 'transformer_iwslt_de_en' for machine translation | {
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"I am also eager for a transformer base model to train from scratch with HuggingFace ",
"In huggingface transformers it's called [FSMT](https://huggingface.co/docs/transformers/model_doc/fsmt), short for FairSeq Machine Translation.",
"I have the same need, looking for a transformer base model.\r\nWill try FSMT... | 1,624 | 1,669 | null | NONE | null | # 🌟 New model addition
Does huggingface have some models like `transformer_iwslt_de_en` or `transformer_wmt_en_de` in fairseq for machine translation?
I plan to write a model for machine translation on huggingface. It would be great to be able to compare directly with the baseline model on huggingface.
@pat... | {
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https://api.github.com/repos/huggingface/transformers/issues/12385 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12385/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12385/comments | https://api.github.com/repos/huggingface/transformers/issues/12385/events | https://github.com/huggingface/transformers/pull/12385 | 931,034,425 | MDExOlB1bGxSZXF1ZXN0Njc4NTkyMDAw | 12,385 | Rework LongFormer to make it compatible with ONNX | {
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"I'm fine with this rework as long as all the slow tests are passing :-) ",
"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 guidel... | 1,624 | 1,651 | 1,651 | MEMBER | null | - [x] Remove implicit `bool` -> `int` conversion while padding attention_mask with `False` value.
- [x] Remove call to `einsum` where `matmul` + `transpose` can be used (makes optimizations easier for ONNX)
- [ ] Diagonal matrix computation try to avoid ScatterND with negative steps / index
- [ ] Use `torch.div(a, b... | {
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https://api.github.com/repos/huggingface/transformers/issues/12384 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12384/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12384/comments | https://api.github.com/repos/huggingface/transformers/issues/12384/events | https://github.com/huggingface/transformers/issues/12384 | 930,941,962 | MDU6SXNzdWU5MzA5NDE5NjI= | 12,384 | Request: New LM Adapted checkpoints for T5 | {
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## Description
Google released a new set of checkpoints for T5 v1.1. here:
https://github.com/google-research/text-to-text-transfer-transformer/blob/master/released_checkpoints.md#t511
Especially interesting for most people will be the checkpoints below, as finetuning T5... | {
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https://api.github.com/repos/huggingface/transformers/issues/12383 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12383/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12383/comments | https://api.github.com/repos/huggingface/transformers/issues/12383/events | https://github.com/huggingface/transformers/issues/12383 | 930,940,725 | MDU6SXNzdWU5MzA5NDA3MjU= | 12,383 | Size of tensors not matching even though using tweets (all same length) | {
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"Can you try changing this line:\r\n```\r\nencoded_input = tokenizer(text, return_tensors='pt')\r\n```\r\nto\r\n```\r\nencoded_input = tokenizer(text, return_tensors='pt', padding=True, truncation=True, max_length=512)\r\n```\r\n?\r\n\r\nIt will pad/truncate all sequences to 512 tokens. Feel free to adapt to the ma... | 1,624 | 1,628 | 1,628 | NONE | null | # What I'm doing
Trying to estimate the emotion of tweets using https://huggingface.co/cardiffnlp/twitter-roberta-base-emotion
# The error
`RuntimeError: The expanded size of the tensor (601) must match the existing size (514) at non-singleton dimension 1. Target sizes: [1, 601]. Tensor sizes: [1, 514]`
D... | {
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https://api.github.com/repos/huggingface/transformers/issues/12382 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12382/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12382/comments | https://api.github.com/repos/huggingface/transformers/issues/12382/events | https://github.com/huggingface/transformers/issues/12382 | 930,881,328 | MDU6SXNzdWU5MzA4ODEzMjg= | 12,382 | About a error in retrain a xlm model | {
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"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/master/CONTRIBUTING.md)... | 1,624 | 1,628 | 1,628 | NONE | null | when i train a xlm model as following code, an error occurs that 'label' is a unexpected for forward. Anyway to solve it?
`# -*- coding: UTF-8 -*-
from transformers import XLMTokenizer, XLMModel, Trainer
from datasets import load_dataset, Dataset
from transformers import LineByLineTextDataset, TrainingArguments
fr... | {
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https://api.github.com/repos/huggingface/transformers/issues/12381 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12381/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12381/comments | https://api.github.com/repos/huggingface/transformers/issues/12381/events | https://github.com/huggingface/transformers/issues/12381 | 930,878,254 | MDU6SXNzdWU5MzA4NzgyNTQ= | 12,381 | A fast tokenizer for BertJapaneseTokenizer | {
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"Hi @dkawahara I've just written tentative `BertJapaneseTokenizerFast`:\r\n\r\n```\r\nfrom transformers import BertJapaneseTokenizer\r\nclass BertJapaneseTokenizerFast(BertJapaneseTokenizer):\r\n def __call__(self,text,text_pair=None,return_offsets_mapping=False,**kwargs):\r\n v=super().__call__(text=text,text_... | 1,624 | 1,676 | null | NONE | null | We would like a fast tokenizer for BertJapaneseTokenizer. This is because the current token classification model (run_ner.py) requires using the fast tokenizer but BertJapaneseTokenizer does not have it. Because of this, we cannot do token classification for Japanese using cl-tohoku's BERT models.
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https://api.github.com/repos/huggingface/transformers/issues/12380 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12380/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12380/comments | https://api.github.com/repos/huggingface/transformers/issues/12380/events | https://github.com/huggingface/transformers/issues/12380 | 930,836,069 | MDU6SXNzdWU5MzA4MzYwNjk= | 12,380 | Module version identification problem | {
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"Hello! What command did you run to get the first error?",
"I just executed `python xxx.py` from the command, which references this package, and the specific project is [this](https://github.com/yangjianxin1/GPT2-chitchat)\r\n\r\n: 1.7.1
- Tensorflow vers... | {
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https://api.github.com/repos/huggingface/transformers/issues/12379 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12379/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12379/comments | https://api.github.com/repos/huggingface/transformers/issues/12379/events | https://github.com/huggingface/transformers/issues/12379 | 930,821,042 | MDU6SXNzdWU5MzA4MjEwNDI= | 12,379 | Tracking variables other than loss during 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/master/CONTRIBUTING.md)... | 1,624 | 1,628 | 1,628 | NONE | null | # 🚀 Feature request
Allow to track other variables during training with the [trainer](https://huggingface.co/transformers/main_classes/trainer.html).
<!-- A clear and concise description of the feature proposal.
Please provide a link to the paper and code in case they exist. -->
## Motivation
Often dur... | {
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https://api.github.com/repos/huggingface/transformers/issues/12378 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12378/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12378/comments | https://api.github.com/repos/huggingface/transformers/issues/12378/events | https://github.com/huggingface/transformers/issues/12378 | 930,799,292 | MDU6SXNzdWU5MzA3OTkyOTI= | 12,378 | TypeError: new(): invalid data type 'numpy.str_' | {
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"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/master/CONTRIBUTING.md)... | 1,624 | 1,694 | 1,628 | NONE | null | Facing the below error while running
```
# Setting up training
trainer = Seq2SeqTrainer(
model=model,
args=args,
train_dataset=tokenized_datasets['train'],
eval_dataset=tokenized_datasets['validation'],
)
```
on Kaggle Notebooks; while the same code runs fine in Colab Notebooks.
Below i... | {
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https://api.github.com/repos/huggingface/transformers/issues/12377 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12377/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12377/comments | https://api.github.com/repos/huggingface/transformers/issues/12377/events | https://github.com/huggingface/transformers/issues/12377 | 930,738,947 | MDU6SXNzdWU5MzA3Mzg5NDc= | 12,377 | conversion wav2vec2 model from fairseq to huggingface | {
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"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/master/CONTRIBUTING.md)... | 1,624 | 1,628 | 1,628 | NONE | null | # 📚 Migration
Hi,
trained wav2vec2 model in fairseq for my own dataset. Now i need to finetune pretrained fairseq wav2vec2 model. To train hugging face model it is asking following files.
1. config.json
2. preprocessor_config.json
3. pytorch_model.bin
4. special_tokens_map.json
5. tokenizer_config.json
6. voc... | {
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https://api.github.com/repos/huggingface/transformers/issues/12376 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12376/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12376/comments | https://api.github.com/repos/huggingface/transformers/issues/12376/events | https://github.com/huggingface/transformers/issues/12376 | 930,705,291 | MDU6SXNzdWU5MzA3MDUyOTE= | 12,376 | Issue in layer-drop implementation in TensorFlow models in graph mode | {
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"Confirmed that the issue is reproducible at my end, we're investigating!",
"On investigation, I'm pretty sure the issue is caused by the way we're doing layerdrop: https://github.com/huggingface/transformers/blob/master/src/transformers/models/bart/modeling_tf_bart.py#L755-L772\r\n\r\nThis code is correct for ea... | 1,624 | 1,629 | 1,629 | CONTRIBUTOR | null | ## Environment info
- `transformers` version: 4.8.1
- Platform: Linux-5.4.104+-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.7.10
- PyTorch version (GPU?): 1.9.0+cu102 (False)
- Tensorflow version (GPU?): 2.5.0 (False)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not installed
- Ja... | {
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"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/master/CONTRIBUTING.md)... | 1,624 | 1,635 | 1,628 | NONE | null | ## Environment info
- `transformers` version: 4.2.1
- Platform: Linux-3.10.0-1127.18.2.el7.x86_64-x86_64-with-glibc2.10
- Python version: 3.8.8
- PyTorch version (GPU?): 1.5.0 (True)
- Tensorflow version (GPU?): 2.4.1 (False)
- Using GPU in script?: <fill in>
- Using distributed or parallel set-up in script?: <f... | {
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https://api.github.com/repos/huggingface/transformers/issues/12374 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12374/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12374/comments | https://api.github.com/repos/huggingface/transformers/issues/12374/events | https://github.com/huggingface/transformers/issues/12374 | 930,683,943 | MDU6SXNzdWU5MzA2ODM5NDM= | 12,374 | ImportError: cannot import name 'BertEncoder' from 'transformers' | {
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"Hello! I'm failing to find a version where this worked, going back to version 1.0.0. If you have it handy, could you point me to the version that had it?\r\n\r\nIf you want to import `BertEncoder` you can do it as such:\r\n```\r\nfrom transformers.models.bert.modeling_bert import BertEncoder\r\n```"
] | 1,624 | 1,624 | 1,624 | CONTRIBUTOR | null | ```
from transformers import BertEncoder
```
A week ago this import was working normally, but this morning I ran my code and got this error.
```
ImportError: cannot import name 'BertEncoder' from 'transformers' (unknown location)
```
How to import BertEncoder? ```'BertEncoder' in dir(transformers)``` is `F... | {
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https://api.github.com/repos/huggingface/transformers/issues/12373 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12373/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12373/comments | https://api.github.com/repos/huggingface/transformers/issues/12373/events | https://github.com/huggingface/transformers/pull/12373 | 930,681,899 | MDExOlB1bGxSZXF1ZXN0Njc4MzI2NTkx | 12,373 | Added .lower() method to label | {
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"Thanks for the proposal. It's a good thought, but I actually am not sure this is what we want to do. While it may seem intuitively to make sense that different cases shouldn't affect the scores, I don't think we want to unilaterally send everything to lower case.\r\n\r\nOne reason is that casing actually can provi... | 1,624 | 1,624 | 1,624 | NONE | null | Same labels with different cases (like "Hindi", "hindi", "hIndi") can be passed and the predicted scores vary a lot. So if we add .lower() method we can solve that.
# What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/12372 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12372/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12372/comments | https://api.github.com/repos/huggingface/transformers/issues/12372/events | https://github.com/huggingface/transformers/issues/12372 | 930,674,839 | MDU6SXNzdWU5MzA2NzQ4Mzk= | 12,372 | Wav2vec2 Dataset | {
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"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/master/CONTRIBUTING.md)... | 1,624 | 1,628 | 1,628 | NONE | null |
I have been trying the code described in the huggingface blog https://huggingface.co/blog/fine-tune-wav2vec2-english.
While in the blog, when seeing random text from the dataset looks as shown below:
For... | {
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https://api.github.com/repos/huggingface/transformers/issues/12371 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12371/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12371/comments | https://api.github.com/repos/huggingface/transformers/issues/12371/events | https://github.com/huggingface/transformers/pull/12371 | 930,669,936 | MDExOlB1bGxSZXF1ZXN0Njc4MzE3NTkw | 12,371 | [Documentation] Warn that DataCollatorForWholeWordMask is limited to BertTokenizer-like tokenizers | {
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Currently, the `DataCollatorForWholeWordMasking` added with #7925 only works for one specific family of tokenizers, but the documentation does not mention this nor is the user warned when using this data collator with an incompatible tokenizer. Since the data collator will run with all tokeni... | {
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https://api.github.com/repos/huggingface/transformers/issues/12370 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12370/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12370/comments | https://api.github.com/repos/huggingface/transformers/issues/12370/events | https://github.com/huggingface/transformers/pull/12370 | 930,663,070 | MDExOlB1bGxSZXF1ZXN0Njc4MzEyMjc1 | 12,370 | [WIP] DataCollatorForTextInfilling | {
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"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/master/CONTRIBUTING.md)... | 1,624 | 1,650 | 1,630 | CONTRIBUTOR | null | # What does this PR do?
A DataCollator for the BART "Text Infilling" pre-training task.
The implementation borrows ideas from `fairseq`'s more complex [DenoisingDataset](https://github.com/pytorch/fairseq/blob/1bba712622b8ae4efb3eb793a8a40da386fe11d0/fairseq/data/denoising_dataset.py).
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https://api.github.com/repos/huggingface/transformers/issues/12369 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12369/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12369/comments | https://api.github.com/repos/huggingface/transformers/issues/12369/events | https://github.com/huggingface/transformers/issues/12369 | 930,647,919 | MDU6SXNzdWU5MzA2NDc5MTk= | 12,369 | [Trainer.py] when --load_best_model_at_end is set in Distributed Training | {
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"Could you try again on the latest version? This bug has normally been fixed (see [this comment](https://github.com/huggingface/transformers/blob/9a7545943dd611b0d4887a5ab3a7ef7f53b8e76f/src/transformers/trainer.py#L1351) and the four line below).",
"> Could you try again on the latest version? This bug has norma... | 1,624 | 1,624 | 1,624 | NONE | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: 4.4, not very sure
- Platform: linux
- Python version: 3.7
- PyTorch version (GPU?): 1.8
- Tensorflow versi... | {
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https://api.github.com/repos/huggingface/transformers/issues/12368 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12368/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12368/comments | https://api.github.com/repos/huggingface/transformers/issues/12368/events | https://github.com/huggingface/transformers/pull/12368 | 930,642,639 | MDExOlB1bGxSZXF1ZXN0Njc4Mjk2NTUw | 12,368 | [Examples] Replace `print` statement with `logger.info` in QA example utils | {
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"Thanks!"
] | 1,624 | 1,624 | 1,624 | CONTRIBUTOR | null | # What does this PR do?
Earlier in `utils_qa.py`, `run_qa_beam_search.py` was using `print()` for showing states saving file paths, while `run_qa.py` using `logger.info()` which seems more appropriate.
This PR replace `print()` with `logger.info()`.
## Before submitting
- [ ] This PR fixes a typo or improves ... | {
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Fixes #12363
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/master/CONTRIBUTING.md#start-contributing-pull-requests... | {
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"Which model are you using exactly? `bert-base-uncased` is not a `sentence-transformers` model",
"i used \"bert-base-uncased\" architecture from here: https://www.sbert.net/docs/training/overview.html to train for sentence embedding tak. I modified the number of layers and hidden size. \r\nAlso as shown in above... | 1,624 | 1,628 | 1,628 | NONE | null | I have trained a "bert-base-uncased" model (with lesser layers) on my dataset with my tokenizer for sentence similarity task. The final sentence embedding is formed using mean pooling strategy. Now during inference if my tokens for sentence1 is [t1,t2,t3,t4,t5] and for senetence2, I randomly shuffle these tokens exampl... | {
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https://api.github.com/repos/huggingface/transformers/issues/12365 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12365/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12365/comments | https://api.github.com/repos/huggingface/transformers/issues/12365/events | https://github.com/huggingface/transformers/pull/12365 | 930,605,355 | MDExOlB1bGxSZXF1ZXN0Njc4MjY3NDk0 | 12,365 | [Examples] Update Example Template for `--log_level` feature | {
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Fixes #12295
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/master/CONTRIBUTING.md#start-contributing-pull-requests... | {
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https://api.github.com/repos/huggingface/transformers/issues/12364 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12364/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12364/comments | https://api.github.com/repos/huggingface/transformers/issues/12364/events | https://github.com/huggingface/transformers/pull/12364 | 930,563,883 | MDExOlB1bGxSZXF1ZXN0Njc4MjMzNDcw | 12,364 | [CI] add dependency table sync verification | {
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"So now when the table is out of sync it fails with:\r\n\r\n\r\n\r\nLet me know if this is good and I will re-test with when it's in sync."
] | 1,624 | 1,624 | 1,624 | CONTRIBUTOR | null | Sometimes version is being modified in `setup.py` but not updated in the autogenerated versions file `src/transformers/dependency_versions_table.py` and then all devs start getting this uncommitted change in their clone on `make fixup/style`. This PR adds a new make target to do the checking and adds it to the `check_c... | {
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https://api.github.com/repos/huggingface/transformers/issues/12363 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12363/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12363/comments | https://api.github.com/repos/huggingface/transformers/issues/12363/events | https://github.com/huggingface/transformers/issues/12363 | 930,539,443 | MDU6SXNzdWU5MzA1Mzk0NDM= | 12,363 | [examples] add `main_process_first` context manager to datasets map calls | {
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"Can I take this?\r\nSince it will not take much time for me",
"Yes, thank you, @bhadreshpsavani ",
"Hi @stas00 and @sgugger,\r\nIn the earlier PR, I wanted to ask one thing\r\nin the below code,\r\nhttps://github.com/huggingface/transformers/blob/9a7545943dd611b0d4887a5ab3a7ef7f53b8e76f/examples/pytorch/questi... | 1,624 | 1,624 | 1,624 | CONTRIBUTOR | null | We need to replay this addition that has been modelled in `run_translation.py` in https://github.com/huggingface/transformers/pull/12351 to all other pytorch examples
The actual changes for the model example are:
https://github.com/huggingface/transformers/pull/12351/files#diff-09777f56cee1060a535a72ce99a6c96cdb7f3... | {
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https://api.github.com/repos/huggingface/transformers/issues/12362 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12362/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12362/comments | https://api.github.com/repos/huggingface/transformers/issues/12362/events | https://github.com/huggingface/transformers/pull/12362 | 930,493,099 | MDExOlB1bGxSZXF1ZXN0Njc4MTcyMDUw | 12,362 | fixed multiplechoice tokenization | {
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"Thanks for your PR but the documentation is correct: when tokenizing several pairs of sentences, the tokenizer API takes the list of first sentences, then the list of second sentences. Here the first sentences are the prompt (twice) and the second sentences are the choices.",
"@sgugger that doesn't seem to be co... | 1,624 | 1,624 | 1,624 | CONTRIBUTOR | null | # What does this PR do?
The model would have seen two sequences:
1. [CLS]prompt[SEP]prompt[SEP]
2. [CLS]choice0[SEP]choice1[SEP]
That is not correct as we want a contextualized embedding of prompt and choice.
This PR fixes the documentation
## Before submitting
- [X] This PR fixes a typo or improves ... | {
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https://api.github.com/repos/huggingface/transformers/issues/12361 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12361/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12361/comments | https://api.github.com/repos/huggingface/transformers/issues/12361/events | https://github.com/huggingface/transformers/pull/12361 | 930,479,416 | MDExOlB1bGxSZXF1ZXN0Njc4MTYwMjM3 | 12,361 | Easily train a new fast tokenizer from a given one | {
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"Failure is spurious, so merging!"
] | 1,624 | 1,624 | 1,624 | COLLABORATOR | null | # What does this PR do?
This PR does two different things at the same time:
- it allows to instantiate a subclass of a `PreTrainedTokenizerFast` with just the tokenizer object by making arguments like vocab or merges optional (only done for three models here but can complete if the design is accepted)
- adds a met... | {
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https://api.github.com/repos/huggingface/transformers/issues/12360 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12360/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12360/comments | https://api.github.com/repos/huggingface/transformers/issues/12360/events | https://github.com/huggingface/transformers/pull/12360 | 930,459,642 | MDExOlB1bGxSZXF1ZXN0Njc4MTQ0MDE3 | 12,360 | [examples] remove extra white space from log format | {
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@sgugger | {
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https://api.github.com/repos/huggingface/transformers/issues/12359 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12359/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12359/comments | https://api.github.com/repos/huggingface/transformers/issues/12359/events | https://github.com/huggingface/transformers/pull/12359 | 930,429,416 | MDExOlB1bGxSZXF1ZXN0Njc4MTIwNTYz | 12,359 | [Examples] Replicates the new --log_level feature to all trainer-based pytorch | {
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"Also as mentioned earlier, let's add:\r\n```\r\n transformers.utils.logging.enable_default_handler()\r\n transformers.utils.logging.enable_explicit_format()\r\n```\r\neverywhere they are missing - I see there are quite a few places.\r\n\r\nThank you!",
"@bhadreshpsavani, we forgot to take care of the templ... | 1,624 | 1,624 | 1,624 | CONTRIBUTOR | null | # What does this PR do?
Fixes #12295
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/master/CONTRIBUTING.md#start-contributing-pull-requests)... | {
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https://api.github.com/repos/huggingface/transformers/issues/12358 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12358/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12358/comments | https://api.github.com/repos/huggingface/transformers/issues/12358/events | https://github.com/huggingface/transformers/pull/12358 | 930,398,176 | MDExOlB1bGxSZXF1ZXN0Njc4MDk2MTc5 | 12,358 | Tensorflow LM examples | {
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"Has this fix been packaged with the latest release? I see that the fix was merged into the master branch 18 days ago and the latest release (v4.8.2) was 13 days ago but then I don't see the issue mentioned in the patch release notes. \r\n\r\nI assume it hasn't since I am still getting the same output."
] | 1,624 | 1,626 | 1,624 | CONTRIBUTOR | null | # What does this PR do?
This PR replaces the local trainer NotebookProgressReporter callback by a ProgressReporter. Generally we cannot guarantee correct display of IPython renderables in remote processes (e.g. because they get redirected into files), so it's better to replace these by text based reporters.
Other... | {
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Fixes a simple typo in the readme file from "pr" to "or".
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/mast... | {
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https://api.github.com/repos/huggingface/transformers/issues/12355 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12355/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12355/comments | https://api.github.com/repos/huggingface/transformers/issues/12355/events | https://github.com/huggingface/transformers/pull/12355 | 930,076,143 | MDExOlB1bGxSZXF1ZXN0Njc3ODMwNTYx | 12,355 | [Flax] Add T5 pretraining script | {
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"I just wanted to ask one last question about the tokenizer for norwegian. :slightly_smiling_face: \r\n\r\nIt seems to me that the tokenizer vocabularies of the \"original\" T5 models have `extras_ids` (100 for `T5-small`). It seems to me that in the proposed version of the tokenizer for norwegian, no extras_ids ar... | 1,624 | 1,628 | 1,624 | MEMBER | null | # What does this PR do?
<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
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https://api.github.com/repos/huggingface/transformers/issues/12354 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12354/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12354/comments | https://api.github.com/repos/huggingface/transformers/issues/12354/events | https://github.com/huggingface/transformers/issues/12354 | 929,949,418 | MDU6SXNzdWU5Mjk5NDk0MTg= | 12,354 | Input structure has type class tuple while shallow structure has type class transformers.modeling_tf_outputs.TFQuestionAnsweringModelOutput | {
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"Hi, our Tensorflow examples are in flux right now, because we're in the process of updating them and generally trying to replace TFTrainer with native Keras code. The examples on that page may be outdated, but you can see an up-to-date example of using TF for QA here: https://github.com/huggingface/transformers/bl... | 1,624 | 1,627 | 1,627 | NONE | null | ## Environment info
- transformers version: 4.5.1
- Platform: Linux-4.4.0-19041-Microsoft-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.7.5
- PyTorch version (GPU?): 1.8.1+cu102 (False)
- Tensorflow version (GPU?): 2.4.1 (False)
- Using GPU in script?: No
- Using distributed or parallel set-up in script?: ... | {
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https://api.github.com/repos/huggingface/transformers/issues/12353 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12353/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12353/comments | https://api.github.com/repos/huggingface/transformers/issues/12353/events | https://github.com/huggingface/transformers/issues/12353 | 929,877,089 | MDU6SXNzdWU5Mjk4NzcwODk= | 12,353 | ERROR: Failed building wheel for tokenizers | {
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"Hi! Could you open an issue on `tokenizers` instead? https://github.com/huggingface/tokenizers"
] | 1,624 | 1,624 | 1,624 | NONE | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: 4.8.1
- Platform: Macbook pro M1 16G
- Python version: 3.8.10
- PyTorch version (GPU?):
- Tensorflow versio... | {
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https://api.github.com/repos/huggingface/transformers/issues/12352 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12352/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12352/comments | https://api.github.com/repos/huggingface/transformers/issues/12352/events | https://github.com/huggingface/transformers/pull/12352 | 929,801,495 | MDExOlB1bGxSZXF1ZXN0Njc3NTk5NDIz | 12,352 | [WIP][FIX] Prevent output some config files when using fast tokenizer | {
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"Hello! Does this resolve #12308?",
"Hello!\r\nSorry if I may have been unclear.\r\nAssuming the difference between `spm.SentencePieceTrainer` and `ReformerTokenizerFast` is anticipated, this PR tentatively resolve the difference between `ReformerTokenizerFast` and `AutoTokenizer.from_pretrained('test')`.\r\n\r\n... | 1,624 | 1,627 | 1,627 | 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/12351 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12351/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12351/comments | https://api.github.com/repos/huggingface/transformers/issues/12351/events | https://github.com/huggingface/transformers/pull/12351 | 929,788,166 | MDExOlB1bGxSZXF1ZXN0Njc3NTg4MzA2 | 12,351 | [trainer] add main_process_first context manager | {
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"So I won't lose it a magic perl to rewrite all other examples:\r\n\r\n```\r\nfind examples -type f -exec perl -0777 -pi -e 's|^(\\s+)(train_dataset = train_dataset.map\\(.*?\\))|x($1, $2)|msge; BEGIN {sub x {($p, $t) = @_ ; $t =~ s/^/ /msg; return qq[${p}with training_args.main_process_first(desc=\"train datase... | 1,624 | 1,624 | 1,624 | CONTRIBUTOR | null | This PR
- [x] implements `main_process_first` context manager as discussed in https://github.com/huggingface/transformers/issues/12345
This make the `datasets` pre-processing much faster in the distributed environment as only one process is doing it and not all replicas too at once.
- [x] modifies `run_translation.... | {
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https://api.github.com/repos/huggingface/transformers/issues/12350 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12350/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12350/comments | https://api.github.com/repos/huggingface/transformers/issues/12350/events | https://github.com/huggingface/transformers/pull/12350 | 929,710,134 | MDExOlB1bGxSZXF1ZXN0Njc3NTIxMDUx | 12,350 | Fix exception in prediction loop occurring for certain batch sizes | {
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"Thanks, I can't push to your branch, so could you push an empty commit since circleCI decided to not run on your PR?\r\n```\r\ngit commit --allow-empty -m \"Trigger CI\"\r\n```\r\nand then a push.",
"Ok, there are lots of failures that seem related to the PyTorch release. Could you rebase on master (I really wan... | 1,624 | 1,624 | 1,624 | CONTRIBUTOR | null | # What does this PR do?
Fixes #12349
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/master/CONTRIBUTING.md#start-contributing-pull-request... | {
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https://api.github.com/repos/huggingface/transformers/issues/12349 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12349/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12349/comments | https://api.github.com/repos/huggingface/transformers/issues/12349/events | https://github.com/huggingface/transformers/issues/12349 | 929,709,015 | MDU6SXNzdWU5Mjk3MDkwMTU= | 12,349 | Prediction fails for certain batch sizes | {
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- `transformers` version: 4.6.1
- Platform: IBM open-ce / ppcle64
- Python version: 3.8.8
- PyTorch version (GPU?): 1.7.1 NVIDIA V100
- Tensorflow version (GPU?): N/A
- Using GPU in script?: yes
- Using distributed or parallel set-up in script?: distributed (but only 1 rank per process grou... | {
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https://api.github.com/repos/huggingface/transformers/issues/12348 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12348/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12348/comments | https://api.github.com/repos/huggingface/transformers/issues/12348/events | https://github.com/huggingface/transformers/issues/12348 | 929,695,277 | MDU6SXNzdWU5Mjk2OTUyNzc= | 12,348 | Generate text until condition | {
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"Maybe of interest to @patrickvonplaten @patil-suraj ",
"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... | 1,624 | 1,631 | null | CONTRIBUTOR | null | Is there a simple way to have the model generate text until a condition is met? I'm interested in data memorization and want to prompt the model with some tokens from the training data and then have it generate text until it makes a mistake (aka deviates from the training data). The naive approach with a while loop has... | {
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https://api.github.com/repos/huggingface/transformers/issues/12347 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12347/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12347/comments | https://api.github.com/repos/huggingface/transformers/issues/12347/events | https://github.com/huggingface/transformers/issues/12347 | 929,674,491 | MDU6SXNzdWU5Mjk2NzQ0OTE= | 12,347 | TypeError: __init__() got an unexpected keyword argument 'report_to' | {
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"Hello! Do you mind sharing a reproducible code example in colab? I ran the following on the bare `run_mlm.py` script:\r\n```\r\npython run_mlm.py --output_dir=here --report_to=tensorboard --dataset_name=wikitext --dataset_config_name=wikitext-2-raw-v1 --model_name_or_path=bert-base-cased --do_train\r\n```\r\nwhich... | 1,624 | 1,624 | 1,624 | NONE | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: 4.6.1
- Platform: Linux-4.15.0-135-generic-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.6.9
- PyTorch... | {
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https://api.github.com/repos/huggingface/transformers/issues/12346 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12346/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12346/comments | https://api.github.com/repos/huggingface/transformers/issues/12346/events | https://github.com/huggingface/transformers/issues/12346 | 929,664,782 | MDU6SXNzdWU5Mjk2NjQ3ODI= | 12,346 | All evaluation processes overload one GPU, when other 7 are available. While Training process fine and is distributed across all 8 cards | {
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"Hey, I think you are using `nn.DataParallel` and not `nn.DistributedDataParallel` and hence 1 GPU is taking more memory. In case of `torch.nn.DistributedDataParallel`, `training_args.parallel_mode` will be `ParallelModel.Distributed`.\r\n\r\nIn order to use `nn.DistributedDataParallel`, launch with this CMD: `pyth... | 1,624 | 1,627 | 1,627 | NONE | null | ## Environment info
- `transformers` version: 4.6.1
- Platform: Linux-4.15.0-135-generic-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.6.9
- PyTorch version (GPU?): 1.9.0+cu102 (True)
- Tensorflow version (GPU?): not installed (NA)
- Using GPU in script?: Yes, 8 Tesla V100
- Using distributed or parallel s... | {
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"followers_url": "https://api.github... | [] | 1,624 | 1,624 | 1,624 | CONTRIBUTOR | null | # 🚀 Feature request
Switch examples to process `datasets.map` only once on a main process and have the other processes wait, which would make pre-processing much faster. This is based on: https://huggingface.co/docs/datasets/processing.html?highlight=map#mapping-in-a-distributed-setting
@sgugger suggested to add... | {
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