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"Seeing how we are able to convert `float32` weights to `bfloat16` as shown [here](https://github.com/huggingface/transformers/issues/12534#issue-937864452), I tried to the reverse, i.e. converting `bfloat16` to `float32`. I executed the following lines:\r\n\r\n```python\r\nfrom transformers import GPT2LMHeadModel,... | 1,625 | 1,625 | 1,625 | NONE | null | Hi, I followed the causal language modeling in Flax tutorial notebook provided [here](https://colab.research.google.com/github/huggingface/notebooks/blob/master/examples/causal_language_modeling_flax.ipynb) in Colab. And at the end of the training, I'd like to get a working PyTorch model from the JAX/Flax weights, henc... | {
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This PR adds the Adafactor optimizer in all language modeling scripts. This enables fine-tuning large models like 1.3B GPTNeo. Without adafactor the current CLM script can't even load the optimizer states. With Adafactor and bf16 it should now be possible to fit 1.3B GPTNeo on a single v3-8.
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"I fixed it, \r\n\r\nit appears that using pip install (libraries) ubuntu installed the python 2 version of the required module..\r\nuninstalling them and using \r\n``` \r\npip3.9 install transformers \r\n```\r\ninstalls the 3.9 versions of the module and allows the code to run smoothly.."
] | 1,625 | 1,625 | 1,625 | 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-cliv: command not found
- `transformers` version: 4.8.2
- Platform: Ubuntu (20.04) with KDE desktop
- Python version: 3... | {
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I have the impression that a tiny typo has crept into the readme.
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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 | Hello,
I see that BART is able to infill <mask> tokens in the input and was able to run this example. https://huggingface.co/transformers/model_doc/bart.html#mask-filling
Since BART can also handle other type of pre-training noise such as token deletion, is there a way I could get BART to take inputs with deletio... | {
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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 ... | 1,625 | 1,648 | null | MEMBER | null | # What does this PR do?
Adds gradient checkpointing to flax models | {
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"Hello! I am unsure of which scripts you are using. However, when instantiating a model or a tokenizer, you should specify \r\nthe `local_files_only=True` parameter to the `from_pretrained` method when offline to ensure that the objects don't try to fetch files they can't access.",
"For every other file, they can... | 1,625 | 1,628 | 1,628 | CONTRIBUTOR | null | Hello,
I found an error trying to use the `openai/clip-vit-base-patch32` model offline, that was downloaded and cached from previous uses. Digging through the code, the problem seems to arise from the fact that when used online, attempting to download a file that does not exist (here `added_tokens.json`) leads to... | {
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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 | CONTRIBUTOR | null | # 🚀 Feature request
For the moment, only tokenizers that have a rust version use the tests in `test_tokenization_common.py` file that use the `self.tokenizers_list` attribute that stores a (eventually some) model name stored on the hub.
As mentioned by @LysandreJik in this [discussion](https://github.com/hugging... | {
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https://api.github.com/repos/huggingface/transformers/issues/12534 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12534/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12534/comments | https://api.github.com/repos/huggingface/transformers/issues/12534/events | https://github.com/huggingface/transformers/issues/12534 | 937,864,452 | MDU6SXNzdWU5Mzc4NjQ0NTI= | 12,534 | [Flax] from_pretrained does not consider the passed dtype | {
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"I wonder whether this might be problematic for layer norm weights since those should usually always be of type `float32`, no?",
"Would love to hear what @avital @marcvanzee think here",
"I think it's fine to manually port weights to bfloat16 if you want to. In general all Flax layers accept a dtype attribute w... | 1,625 | 1,630 | null | MEMBER | null | ## Environment info
When loading a flax model with `from_pretrained` the type argument is not used. The weights are initialized with the dtype of saved weights.
So if you do
```python
model = FlaxGPT2ForCausalLM.from_pretrained("gpt2", dtype=jnp.dtype("bfloat16"))
# check the dtype of one of the params
mo... | {
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https://api.github.com/repos/huggingface/transformers/issues/12533 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12533/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12533/comments | https://api.github.com/repos/huggingface/transformers/issues/12533/events | https://github.com/huggingface/transformers/issues/12533 | 937,863,374 | MDU6SXNzdWU5Mzc4NjMzNzQ= | 12,533 | The "additional_special_tokens" argument in the ".from_pretrained" method of the tokenizer is not necessarily taken into account. | {
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"Indeed, it seems the `TapasTokenizer` isn't initialized correctly here; this should be patched!",
"Seems like the `MBart50TokenizerFast` is facing the same issue. \r\n\r\nOne can see here how the special tokens are set according to the lang_codes:\r\nhttps://github.com/huggingface/transformers/blob/dc42e770b86b7... | 1,625 | 1,631 | 1,631 | 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: 4.8.2
- Platform: Linux-5.4.104+-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.7.10
- PyTorch version ... | {
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https://api.github.com/repos/huggingface/transformers/issues/12532 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12532/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12532/comments | https://api.github.com/repos/huggingface/transformers/issues/12532/events | https://github.com/huggingface/transformers/issues/12532 | 937,810,135 | MDU6SXNzdWU5Mzc4MTAxMzU= | 12,532 | Flax Save/Load from base model with different name | {
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"cc @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.com/huggingface/transformers/blob/m... | 1,625 | 1,629 | 1,629 | MEMBER | null | The following doesn't work correctly at the moment - loading a base model into a head from PyTorch model when the names are different. *E.g.*:
```python
from transformers import RobertaModel, FlaxRobertaForMaskedLM, RobertaConfig
model = RobertaModel(RobertaConfig())
model.save_pretrained("./")
FlaxRobertaF... | {
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https://api.github.com/repos/huggingface/transformers/issues/12531 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12531/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12531/comments | https://api.github.com/repos/huggingface/transformers/issues/12531/events | https://github.com/huggingface/transformers/issues/12531 | 937,769,982 | MDU6SXNzdWU5Mzc3Njk5ODI= | 12,531 | run_clm_no_trainer.py ModuleNotFoundError | {
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"This looks like a problem with the dataset you are using and a missing package? The script does not use `mimic_string` so the import error can't come from it.",
"Thank you!"
] | 1,625 | 1,625 | 1,625 | NONE | null | Hello,
I am trying to run the run_clm_no_trainer.py (since I'm using mimic data to train) file, I get this error:
ModuleNotFoundError: No module named 'datasets_modules.datasets.mimic_string'
Running on colab - This is the code:
!python3 'gdrive/My Drive/UmlsBERT-master/language-modeling/run_clm_no_trainer.... | {
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https://api.github.com/repos/huggingface/transformers/issues/12530 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12530/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12530/comments | https://api.github.com/repos/huggingface/transformers/issues/12530/events | https://github.com/huggingface/transformers/issues/12530 | 937,652,842 | MDU6SXNzdWU5Mzc2NTI4NDI= | 12,530 | Is there a Bert version of the OpenAIGPTLMHeadModel? | {
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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 | 1,629 | 1,629 | NONE | null | # 🚀 Feature request
I am trying to use the bert-base-chinese model to evaluate the fluency of Chinese texts. I noticed a sample code that uses openai-gpt for English that employes the class OpenAIGPTLMHeadModel. However, since only the bert-base-chinese model is available for Chinese, I am wondering whether there i... | {
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https://api.github.com/repos/huggingface/transformers/issues/12529 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12529/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12529/comments | https://api.github.com/repos/huggingface/transformers/issues/12529/events | https://github.com/huggingface/transformers/issues/12529 | 937,637,774 | MDU6SXNzdWU5Mzc2Mzc3NzQ= | 12,529 | Load Trainer state | {
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"cc @sgugger ",
"How would this be different from\r\n```\r\ntrainer.train(resume_from_checkpoint=True)\r\n```\r\n?",
"That's pretty similar, still, when one needs to use `trainer.predict` of a trained model, for instance.",
"You don't need the optimizer and scheduler states for this, just the model.",
"This... | 1,625 | 1,625 | 1,625 | CONTRIBUTOR | null | # 🚀 Feature request
Hi,
I wonder if there is a method to load a saved state of the trainer, so that I can continue the training loop from where I started.
If I understand it right, I need to load the saved states of _model_, _optimizer_ and _scheduler_.
## Motivation
However, it would be much more convenient... | {
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https://api.github.com/repos/huggingface/transformers/issues/12528 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12528/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12528/comments | https://api.github.com/repos/huggingface/transformers/issues/12528/events | https://github.com/huggingface/transformers/issues/12528 | 937,629,156 | MDU6SXNzdWU5Mzc2MjkxNTY= | 12,528 | FlaxRobertaModel.from_pretrained does not load weights correctly | {
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"cc @patrickvonplaten @patil-suraj ",
"Thank you for reporting this. Yes, the uploaded checkpoints seem to be wrong.\r\n\r\n@patrickvonplaten we should verify and re-upload all Roberta flax checkpoints.",
"Oh oh this doesn't look good at all :-/ ",
"I'll re-upload the roberta checkpoints. This definitely seem... | 1,625 | 1,625 | 1,625 | CONTRIBUTOR | null | ## Environment info
- `transformers` version: 4.8.2
- 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 version: 0.... | {
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https://api.github.com/repos/huggingface/transformers/issues/12527 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12527/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12527/comments | https://api.github.com/repos/huggingface/transformers/issues/12527/events | https://github.com/huggingface/transformers/issues/12527 | 937,510,117 | MDU6SXNzdWU5Mzc1MTAxMTc= | 12,527 | [Examples][Flax] AttributeError: 'DataTrainingArguments' object has no attribute 'test_file' | {
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While running run_summarization_flax.py with local files, currently we have only two DataTrainingArguments, one for training and another for validation file still we are validating test_file which is producing an error
```
Traceback (most recent call last):
File "transformers/examples/flax/summar... | {
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https://api.github.com/repos/huggingface/transformers/issues/12526 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12526/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12526/comments | https://api.github.com/repos/huggingface/transformers/issues/12526/events | https://github.com/huggingface/transformers/issues/12526 | 937,445,458 | MDU6SXNzdWU5Mzc0NDU0NTg= | 12,526 | Really long training time on bert fine-tuning for classification | {
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"Hello, thanks for opening an issue! We try to keep the github issues for bugs/feature requests.\r\nCould you ask your question on the [forum](https://discuss.huggingface.co) instead?\r\n\r\nThanks!"
] | 1,625 | 1,626 | 1,626 | NONE | null | Hi, I am training a dataset with 700,000 samples. Basically they are just text with a binary label. What I am doing is
model = transformer.BertModel.from_pretrained("uncased_bert")
outputs = model(ids=ids, mask=mask, token_type_ids=token_type_ids)
loss = loss_fun(outputs, targets).
So for each piece of text, ... | {
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@sgugger | {
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https://api.github.com/repos/huggingface/transformers/issues/12524 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12524/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12524/comments | https://api.github.com/repos/huggingface/transformers/issues/12524/events | https://github.com/huggingface/transformers/pull/12524 | 937,418,976 | MDExOlB1bGxSZXF1ZXN0NjgzOTc4Nzcz | 12,524 | [doc] DP/PP/TP/etc parallelism | {
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@anton-l https://github.com/huggingface/transformers/issues/10321#issuecomment-783543530 and adding some extra materials into a separate doc.
Fixes: https://github.com/huggingface/transformers... | {
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"https://docs.google.com/spreadsheets/d/1sryqufw2D0XlUH4sq3e9Wnxu5EAQkaohzrJbd5HdQ_w/edit#gid=0"
] | 1,625 | 1,625 | 1,625 | NONE | null | Looked through issues and searched on Google and can't seem to find a answer to this question.
Batch size is 1.
Thanks, | {
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https://api.github.com/repos/huggingface/transformers/issues/12522 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12522/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12522/comments | https://api.github.com/repos/huggingface/transformers/issues/12522/events | https://github.com/huggingface/transformers/issues/12522 | 937,398,233 | MDU6SXNzdWU5MzczOTgyMzM= | 12,522 | Keep getting an OOM when doing a evaluation | {
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"Found [this](https://discuss.huggingface.co/t/cuda-out-of-memory-during-evaluation-but-training-is-fine/1783/2) explication that fixed my problem.\r\n\r\ni.e. Huggingface keeps all the prediction in the GPU."
] | 1,625 | 1,625 | 1,625 | NONE | null | ## Environment info
- `transformers` version: 4.8.2
- Platform: Linux-5.8.0-55-generic-x86_64-with-debian-bullseye-sid
- Python version: 3.7.9
- PyTorch version (GPU?): 1.9.0+cu111 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax ver... | {
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https://api.github.com/repos/huggingface/transformers/issues/12521 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12521/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12521/comments | https://api.github.com/repos/huggingface/transformers/issues/12521/events | https://github.com/huggingface/transformers/pull/12521 | 937,376,083 | MDExOlB1bGxSZXF1ZXN0NjgzOTQzMjk3 | 12,521 | Improve documentation of pooler_output in ModelOutput | {
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"Thanks, you just need to run `make style` on your branch to fix the styling issue.",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues that do not follow the [contribut... | 1,625 | 1,629 | 1,629 | CONTRIBUTOR | null | # What does this PR do?
Improves the doc string for pooler_output in modeling_outputs.py – making it more clear, and opening its availability to a more generic use-case than just BERT-family of models.
**Motivation**:
I was writing a `cls_pooler` for a sentence embeddings usage, and initially thought this is the C... | {
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https://api.github.com/repos/huggingface/transformers/issues/12520 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12520/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12520/comments | https://api.github.com/repos/huggingface/transformers/issues/12520/events | https://github.com/huggingface/transformers/pull/12520 | 937,341,876 | MDExOlB1bGxSZXF1ZXN0NjgzOTE0MzI3 | 12,520 | [Wav2Vec2] Flax - Adapt wav2vec2 script | {
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https://api.github.com/repos/huggingface/transformers/issues/12519 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12519/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12519/comments | https://api.github.com/repos/huggingface/transformers/issues/12519/events | https://github.com/huggingface/transformers/pull/12519 | 937,309,166 | MDExOlB1bGxSZXF1ZXN0NjgzODg2MzI5 | 12,519 | [Flax] Fix hybrid clip | {
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This PR fixes an issue with saving and loading `HybridCLIPConfig` which was causing issues when loading the model.
The config was expecting the `text_config_dict` and `vision_config_dict` arguments, but in the `to_dict` it was saved as `text_config` and `vision_config`. So the next time wh... | {
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https://api.github.com/repos/huggingface/transformers/issues/12518 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12518/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12518/comments | https://api.github.com/repos/huggingface/transformers/issues/12518/events | https://github.com/huggingface/transformers/issues/12518 | 937,296,075 | MDU6SXNzdWU5MzcyOTYwNzU= | 12,518 | Can hidden states be passed instead of input_ids or inputs_embeds in Transformers OpenAI GPT2? | {
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"Hello, thanks for opening an issue! We try to keep the github issues for bugs/feature requests.\r\nCould you ask your question on the [forum](https://discuss.huggingface.co) instead?\r\n\r\nThanks!",
"Thank you! I have asked my [question](https://discuss.huggingface.co/t/can-hidden-states-be-passed-instead-of-in... | 1,625 | 1,628 | 1,628 | NONE | null | I am working on an encoder decoder model which uses a fine tuned RoBERTa as the encoder and GPT2 as the decoder. Before passing the encoder context to the decoder, I am mixing it with some context from a different domain. This mixing module is a simple NN. Hence, I now want to pass these transformed hidden states to th... | {
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https://api.github.com/repos/huggingface/transformers/issues/12517 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12517/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12517/comments | https://api.github.com/repos/huggingface/transformers/issues/12517/events | https://github.com/huggingface/transformers/pull/12517 | 937,272,170 | MDExOlB1bGxSZXF1ZXN0NjgzODU1NjIw | 12,517 | MLM training fails with no validation file(same as #12406 for pytorch now) | {
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"@sgugger @patil-suraj ..\r\nChecks done.."
] | 1,625 | 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/12515 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12515/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12515/comments | https://api.github.com/repos/huggingface/transformers/issues/12515/events | https://github.com/huggingface/transformers/pull/12515 | 937,264,254 | MDExOlB1bGxSZXF1ZXN0NjgzODQ5MDk3 | 12,515 | [Flax] Correct logging steps flax | {
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https://api.github.com/repos/huggingface/transformers/issues/12514 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12514/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12514/comments | https://api.github.com/repos/huggingface/transformers/issues/12514/events | https://github.com/huggingface/transformers/pull/12514 | 937,239,966 | MDExOlB1bGxSZXF1ZXN0NjgzODI4NDkx | 12,514 | [Flax] Correct flax training scripts | {
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https://api.github.com/repos/huggingface/transformers/issues/12513 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12513/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12513/comments | https://api.github.com/repos/huggingface/transformers/issues/12513/events | https://github.com/huggingface/transformers/issues/12513 | 937,164,459 | MDU6SXNzdWU5MzcxNjQ0NTk= | 12,513 | Loading FlaxHybridCLIP trained model | {
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"Sorry, totally forgot to tag you @patrickvonplaten, @patil-suraj :)\r\n\r\nThanks :) ",
"Hi @vinid \r\n\r\nTo load the trained model or if you save the `FlaxHybridCLIP` model using the `save_pretrained` method, you could directly use the `FlaxHybridCLIP.from_pretrained` method. Let me know If that works.",
"Th... | 1,625 | 1,632 | 1,625 | 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: 4.9.0.dev0
- Platform: Linux-5.4.0-1043-gcp-x86_64-with-glibc2.29
- Python version: 3.8.10
- PyTorch version... | {
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https://api.github.com/repos/huggingface/transformers/issues/12512 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12512/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12512/comments | https://api.github.com/repos/huggingface/transformers/issues/12512/events | https://github.com/huggingface/transformers/pull/12512 | 937,164,186 | MDExOlB1bGxSZXF1ZXN0NjgzNzY0NTQ3 | 12,512 | Remove tf.roll wherever not needed | {
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"@szutenberg Thanks for this PR! The changes look good - is there anything else you want to edit, or are you happy for us to merge it as is?",
"Hi @Rocketknight1 , \r\n\r\nThanks for the review. The change is ready for merge as it is.\r\n\r\nCould you have a look at: https://github.com/huggingface/transformers/pu... | 1,625 | 1,625 | 1,625 | CONTRIBUTOR | null | It was used in shift_right.
After this change TF code is more similar to Pytorch implementations
Also, TF graphs are optimized (one node less)
# What does this PR do?
This change optimizes TF graphs and code without modifying the math.
Using roll is not necessary (probably most accelerators implement it as ... | {
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https://api.github.com/repos/huggingface/transformers/issues/12511 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12511/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12511/comments | https://api.github.com/repos/huggingface/transformers/issues/12511/events | https://github.com/huggingface/transformers/pull/12511 | 937,094,229 | MDExOlB1bGxSZXF1ZXN0NjgzNzA0NzE5 | 12,511 | Add a warning for broken ProphetNet fine-tuning | {
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https://api.github.com/repos/huggingface/transformers/issues/12510 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12510/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12510/comments | https://api.github.com/repos/huggingface/transformers/issues/12510/events | https://github.com/huggingface/transformers/pull/12510 | 937,074,797 | MDExOlB1bGxSZXF1ZXN0NjgzNjg4MTE0 | 12,510 | Fix order of state and input in Flax Quickstart README | {
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"Note: if the above correction is valid, then we ll need to update [this image](https://raw.githubusercontent.com/patrickvonplaten/scientific_images/master/lm_flax_inference.png) as well "
] | 1,625 | 1,625 | 1,625 | CONTRIBUTOR | null | # What does this PR do?
Correct the order of state and input for `flax.linen.apply()` in Flax Quickstart README
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
## Who can review?
@patrickvonplaten @patil-suraj | {
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https://api.github.com/repos/huggingface/transformers/issues/12509 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12509/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12509/comments | https://api.github.com/repos/huggingface/transformers/issues/12509/events | https://github.com/huggingface/transformers/issues/12509 | 937,070,997 | MDU6SXNzdWU5MzcwNzA5OTc= | 12,509 | `transformers-cli env` doesn't work out-of-the-box on v3-8 TPU | {
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"Thank you for reporting this!\r\n\r\n@LysandreJik do we need all `dev` dependencies for `transformers-cli` ? \r\nThe above error is caused by missing `sndfile` which is required for `torchaudio` or `soundfile` .\r\n\r\nas a workaround, you could install `sndfile` \r\n```sudo apt-get install libsndfile1```",
"Not... | 1,625 | 1,628 | 1,628 | CONTRIBUTOR | null | **Running `transformers-cli env` returns the following stack trace**
```bash
(gpt-2-german) christopher@t1v-n-97918dcd-w-0:~$ transformers-cli env
Traceback (most recent call last):
File "/home/christopher/gpt-2-german/bin/transformers-cli", line 33, in <module>
sys.exit(load_entry_point('transformers', 'con... | {
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https://api.github.com/repos/huggingface/transformers/issues/12508 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12508/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12508/comments | https://api.github.com/repos/huggingface/transformers/issues/12508/events | https://github.com/huggingface/transformers/issues/12508 | 937,043,691 | MDU6SXNzdWU5MzcwNDM2OTE= | 12,508 | Our Model works well in the local ! But when we upload that it doesnt work showing irrelevent performance ! | {
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"Do you have a link to your model?",
"\r\nYes ! can you tell something about tokenizer ?\r\n\r\n"
] | 1,625 | 1,625 | 1,625 | NONE | null | We tried every possible way . We followed the uploading steps perfectly . Deleting and re uploading are done several times . It performs perfectly in the local ! When we download after uploading it it shows this mysterious problem . | {
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https://api.github.com/repos/huggingface/transformers/issues/12506 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12506/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12506/comments | https://api.github.com/repos/huggingface/transformers/issues/12506/events | https://github.com/huggingface/transformers/issues/12506 | 936,951,639 | MDU6SXNzdWU5MzY5NTE2Mzk= | 12,506 | [Flax] Non working model when exporting to Huggingface | {
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"cc @patrickvonplaten @patil-suraj ",
"Hi @peregilk, how did you save the flax Roberta model using the `FlaxRobertaModel` class or using the `FlaxRobertaForMaskedLM` class? \r\nI tried loading the flax model with\r\n```python\r\nfx_model = FlaxRobertaForMaskedLM.from_pretrained(\"pere/norwegian-roberta-base\")\r\... | 1,625 | 1,628 | 1,628 | CONTRIBUTOR | null | I have trained a RoBERTa base Norwegian according to instructions given at https://github.com/huggingface/transformers/tree/master/examples/flax/language-modeling#masked-language-modeling.
The final mlm accuracy is 0.63, indicating a working model.
I am trying to load the model, and export til to PyTorch (or TF) ... | {
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https://api.github.com/repos/huggingface/transformers/issues/12505 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12505/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12505/comments | https://api.github.com/repos/huggingface/transformers/issues/12505/events | https://github.com/huggingface/transformers/issues/12505 | 936,909,629 | MDU6SXNzdWU5MzY5MDk2Mjk= | 12,505 | Error while running rn_clm_flax.py training script | {
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"Copied from comment in flax.\r\n\r\n@jheek pointed out that the fragmentation/OOM is caused by storing training metrics (on device) in the training_metrics list. If the number of steps per epoch is really large (which is the case bigger datasets) then we should periodically fetch the metrics to memory or do loggin... | 1,625 | 1,625 | 1,625 | NONE | null | Ran the run_clm_flax script with the following parameters.
./run_clm_flax.py \
--output_dir="${MODEL_DIR}" \
--model_type="gpt2" \
--config_name="${MODEL_DIR}" \
--tokenizer_name="${MODEL_DIR}" \
--dataset_name="oscar" \
--dataset_config_name="unshuffled_deduplicated_sv" \
--do_tra... | {
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https://api.github.com/repos/huggingface/transformers/issues/12504 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12504/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12504/comments | https://api.github.com/repos/huggingface/transformers/issues/12504/events | https://github.com/huggingface/transformers/issues/12504 | 936,879,238 | MDU6SXNzdWU5MzY4NzkyMzg= | 12,504 | Creating Flax VisualBert based on Flax Bert | {
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"I tried another way (by modifying the pre-trained class):\r\n``` python\r\nclass FlaxViTBertPreTrainedModel(FlaxPreTrainedModel):\r\n \"\"\"\r\n An abstract class to handle weights initialization and a simple interface for downloading and loading pretrained\r\n models.\r\n \"\"\"\r\n\r\n config_clas... | 1,625 | 1,625 | 1,625 | CONTRIBUTOR | null | I am using the [VisualBert](https://github.com/huggingface/transformers/blob/master/src/transformers/models/visual_bert/modeling_visual_bert.py) model and the [FlaxBert](https://github.com/huggingface/transformers/blob/master/src/transformers/models/bert/modeling_flax_bert.py) model to create a model similar to VisualB... | {
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https://api.github.com/repos/huggingface/transformers/issues/12503 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12503/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12503/comments | https://api.github.com/repos/huggingface/transformers/issues/12503/events | https://github.com/huggingface/transformers/issues/12503 | 936,875,670 | MDU6SXNzdWU5MzY4NzU2NzA= | 12,503 | model.generate does not work when using a FlaxGPTNeoForCausalLM model in PT (flax-community-event) | {
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"Can you try:\r\n\r\n```python\r\nfrom transformers import GPTNeoForCausalLM, AutoTokenizer\r\n\r\nmodel = GPTNeoForCausalLM.from_pretrained('gptneo-125M-finetuned', from_flax=True)\r\ntokenizer = AutoTokenizer.from_pretrained('EleutherAI/gpt-neo-125M', use_fast=True)\r\ntext = 'A house with three bedrooms'\r\ninpu... | 1,625 | 1,632 | 1,625 | NONE | null | ## Environment info
- `transformers` version: 4.9.0.dev0
- Platform: Linux-5.4.0-1043-gcp-x86_64-with-glibc2.29
- Python version: 3.8.10
- PyTorch version (GPU?): 1.9.0+cpu (False)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): 0.3.4 (tpu)
- Jax version: 0.2.16
- JaxLib version... | {
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https://api.github.com/repos/huggingface/transformers/issues/12502 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12502/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12502/comments | https://api.github.com/repos/huggingface/transformers/issues/12502/events | https://github.com/huggingface/transformers/issues/12502 | 936,841,373 | MDU6SXNzdWU5MzY4NDEzNzM= | 12,502 | jax hybrip_clip error ( numpy is not a valid JAX type ) | {
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"Looking into it.",
"I just tried it, and couldn't reproduce the issue. Could you please verify again?\r\n\r\nAlso, note that in COCO the captions are in English so this won't work for Indonesian. You should use a dataset that has captions in Indonesian. The [WIT](https://github.com/google-research-datasets/wit)... | 1,625 | 1,626 | 1,626 | CONTRIBUTOR | null | i tried to run script([run_hybrid_clip.py](https://github.com/huggingface/transformers/tree/master/examples/research_projects/jax-projects/hybrid_clip))
after few step i got error
```
it/s/home/acul/env/lib/python3.8/site-packages/transformers/tokenization_utils_base.py:699: VisibleDeprecationWarning: Creating ... | {
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https://api.github.com/repos/huggingface/transformers/issues/12501 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12501/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12501/comments | https://api.github.com/repos/huggingface/transformers/issues/12501/events | https://github.com/huggingface/transformers/pull/12501 | 936,798,632 | MDExOlB1bGxSZXF1ZXN0NjgzNDUyMjcw | 12,501 | Add `Repository` import to the FLAX example script | {
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"Hello! Installing from `master` should yield the appropriate v4.9.0dev0 version, as this is the current version: https://github.com/huggingface/transformers/blob/master/src/transformers/__init__.py#L25\r\n\r\nDid you install it from Pypi? `pip install transformers`\r\nor from source? `pip install git+https://githu... | 1,625 | 1,625 | 1,625 | NONE | null | ## Environment info
- `transformers` version: 4.8.2 (latest on master)
- Platform: Ubuntu 20.04
- Python version: 3.8.5
- PyTorch version (GPU?): 1.9
- Tensorflow version (GPU?): N/A
- Using GPU in script?: Didn't get that far
- Using distributed or parallel set-up in script?: No
### Who can help
@sgugge... | {
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https://api.github.com/repos/huggingface/transformers/issues/12499 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12499/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12499/comments | https://api.github.com/repos/huggingface/transformers/issues/12499/events | https://github.com/huggingface/transformers/issues/12499 | 936,648,633 | MDU6SXNzdWU5MzY2NDg2MzM= | 12,499 | `max_steps` would not override `num_train_epochs` when training with IterableDataset | {
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"Thanks for reporting! Should be fixed by the PR mentioned above.",
"Hi, @sgugger I took a look at the issue you mentioned above and saw that [this PR](https://github.com/huggingface/transformers/pull/14413) disables the ability to loop over the iterable dataset in an infinite fashion (for example, how it is done... | 1,625 | 1,652 | 1,625 | NONE | null | ## Environment info
- `transformers` version: 4.8.2
- Platform: Linux-5.4.0-1047-azure-x86_64-with-glibc2.10
- Python version: 3.8.10
- PyTorch version (GPU?): 1.9.0+cu102 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not installed
- ... | {
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https://api.github.com/repos/huggingface/transformers/issues/12498 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12498/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12498/comments | https://api.github.com/repos/huggingface/transformers/issues/12498/events | https://github.com/huggingface/transformers/pull/12498 | 936,632,199 | MDExOlB1bGxSZXF1ZXN0NjgzMzEyNDc4 | 12,498 | [Flax] Fix wav2vec2 pretrain arguments | {
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"Great catch! Thanks :-)"
] | 1,625 | 1,625 | 1,625 | 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/12497 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12497/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12497/comments | https://api.github.com/repos/huggingface/transformers/issues/12497/events | https://github.com/huggingface/transformers/pull/12497 | 936,547,107 | MDExOlB1bGxSZXF1ZXN0NjgzMjQyNDI3 | 12,497 | implementing tflxmertmodel integration test | {
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"I believe your version of the code quality tools isn't up to date - can you try running the following at the root of your clone: `pip install -e .[quality] -U` to update your tools?",
"Hi @LysandreJik Yep It was my black version"
] | 1,625 | 1,625 | 1,625 | CONTRIBUTOR | null | What does this PR do?
this PR implement an integration test for TFLxmertmodel as requested in [#9954](https://github.com/huggingface/transformers/issues/9954)
@LysandreJik | {
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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 | CONTRIBUTOR | null | # 🚀 Feature request
I am trying to combine ViT with BART/mBART in Flax and it would be great to have something similar to the [EncoderDecoderModel](https://github.com/huggingface/transformers/blob/master/src/transformers/models/encoder_decoder/modeling_encoder_decoder.py) in Flax.
I am willing to look into it but... | {
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https://api.github.com/repos/huggingface/transformers/issues/12495 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12495/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12495/comments | https://api.github.com/repos/huggingface/transformers/issues/12495/events | https://github.com/huggingface/transformers/issues/12495 | 936,435,116 | MDU6SXNzdWU5MzY0MzUxMTY= | 12,495 | Flax MLM example script has PyTorch dependency | {
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```bash
Traceback (most recent call last):
File "./run_mlm_flax.py", line 319, in <module>
f"Process rank: {training_args.local_rank}, device: {training_args.dev... | {
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https://api.github.com/repos/huggingface/transformers/issues/12494 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12494/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12494/comments | https://api.github.com/repos/huggingface/transformers/issues/12494/events | https://github.com/huggingface/transformers/pull/12494 | 936,388,651 | MDExOlB1bGxSZXF1ZXN0NjgzMTIzMzQw | 12,494 | Add padding for decoder inputs for flax t5 example | {
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"Thanks for the measuring the speed-up! Seems like it's always a good idea to pad to powers of 2. The label length had a fixed input length previously (118 I think), but it seems that one should always pad to multiples of 2 then. \r\n\r\nNote that with this fix however we need to make sure that no loss is computed ... | 1,625 | 1,631 | 1,631 | CONTRIBUTOR | null | # What does this PR do?
Improve TPU training performance by adding padding for decoder inputs in flax t5 training example.
- maintained examples (not research project or legacy): @sgugger, @patil-suraj
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https://api.github.com/repos/huggingface/transformers/issues/12493 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12493/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12493/comments | https://api.github.com/repos/huggingface/transformers/issues/12493/events | https://github.com/huggingface/transformers/pull/12493 | 936,381,305 | MDExOlB1bGxSZXF1ZXN0NjgzMTE3ODY3 | 12,493 | FlaxGPTNeo | {
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This PR adds the Flax version of GPTNeo. For local attention, it uses the fix proposed by @finetuneanon in #11630.
Thanks a lot, @finetuneanon for proposing the solution, it's especially important in JAX/Flax where we can't have dynamic shapes.
Official GPTNeo flax checkpoints are up on... | {
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"Ah, great catch. I recall getting this error when the tokenizer had no max length set, and `datasets` would then crash as unable to return enough values. Could you try this out for me: set the `max_seq_length` value to something low, like 512 or 256. Does it still crash then?\r\n\r\nIf not, it's possible that your... | 1,625 | 1,625 | 1,625 | NONE | null | ## (Continuation of #12438)
### Who can help
- tokenizers: @LysandreJik
- datasets: @lhoestq
## Information
Model I am using (Bert, XLNet ...): `BidBird`
## Issue
This is a small issue regarding solving #12438. From some digging, it seems that setting the `maximum sequence length` flag might be able... | {
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"And think you might have to run `make style` once",
"Merging!",
"hi @patil-suraj i tried to run your script(run_hybrid_clip.py)\r\n\r\nafter few step i got error\r\n\r\n```\r\nit/s/home/acul/env/lib/python3.8/site-packages/transformers/tokenization_utils_base.py:699: VisibleDeprecationWarning: Creating an ndar... | 1,625 | 1,625 | 1,625 | MEMBER | null | # What does this PR do?
This PR adds an example script to train CLIP style vision-text dual encoder models using pre-trained vision and text encoder.
It supports `CLIP` and `ViT` as image encoder and `BERT` and ROBERTa` (or any other text encoder in flax) as text encoder.
This example uses`torchvision` and torch... | {
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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 | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/12489 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12489/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12489/comments | https://api.github.com/repos/huggingface/transformers/issues/12489/events | https://github.com/huggingface/transformers/issues/12489 | 936,181,407 | MDU6SXNzdWU5MzYxODE0MDc= | 12,489 | Get core dump after import FlaxRobertaModel | {
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"It seems that the jax version 0.2.16 installed automatically during transformers installation make this issue. I can fix it after reinstalling the jax using following command:\r\n`pip install \"jax[tpu]>=0.2.16\" -f https://storage.googleapis.com/jax-releases/libtpu_releases.html`\r\n\r\n"
] | 1,625 | 1,625 | 1,625 | CONTRIBUTOR | null | ## Environment info
I tried to run "transformers-cli env" but I get also this error message:
2021-07-03 05:37:33.144628: F external/org_tensorflow/tensorflow/core/tpu/tpu_executor_init_fns.inc:110] TpuTransferManager_ReadDynamicShapes not available in this library.
Aborted (core dumped)
- `transformers` version: ... | {
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https://api.github.com/repos/huggingface/transformers/issues/12488 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12488/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12488/comments | https://api.github.com/repos/huggingface/transformers/issues/12488/events | https://github.com/huggingface/transformers/issues/12488 | 936,053,323 | MDU6SXNzdWU5MzYwNTMzMjM= | 12,488 | Fine-tuning t5-large: greedy predictions don't match teacher-forcing 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)... | 1,625 | 1,667 | 1,631 | NONE | null | ## Environment info
- `transformers` version: 4.9.0.dev0
- Platform: Windows-10-10.0.19041-SP0
- Python version: 3.8.0
- PyTorch version (GPU?): 1.8.1 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not installed
- JaxLib version: not ins... | {
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https://api.github.com/repos/huggingface/transformers/issues/12487 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12487/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12487/comments | https://api.github.com/repos/huggingface/transformers/issues/12487/events | https://github.com/huggingface/transformers/pull/12487 | 936,007,205 | MDExOlB1bGxSZXF1ZXN0NjgyODMwNjkz | 12,487 | Fix Padded Batch Error 12282 | {
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"The `1e-2` absolute tolerance still bothers me, but I'm not 100% sure where the variation is coming from. One thing I thought about was if the padding could have a subtle effect when passed through the `feature_extractor`."
] | 1,625 | 1,626 | 1,626 | CONTRIBUTOR | null | This fixes the padded batch [issue](https://github.com/huggingface/transformers/issues/12282). The error was generated due to the maximum sequence length of the attention mask not matching the padded sequence length of the hidden_states. `np.allclose` now passes with a 1e-2 absolute tolerance.
# What does this PR do... | {
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https://api.github.com/repos/huggingface/transformers/issues/12486 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12486/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12486/comments | https://api.github.com/repos/huggingface/transformers/issues/12486/events | https://github.com/huggingface/transformers/issues/12486 | 935,958,253 | MDU6SXNzdWU5MzU5NTgyNTM= | 12,486 | GPT2: discrepancy between `inputs_embeds` and `input_ids` when the input sentence has length = 1 | {
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"Hello! I think the issue here lies in this line: `inputs_embeds = model.transformer.wte(input_ids).squeeze()`. You're calling `squeeze` on the inputs_embeds, which are of dimension `(5, 1, 768)`, which correspond to `(batch_size, sequence_length, hidden_size)`. Unfortunately, you're squeezing out the sequence leng... | 1,625 | 1,626 | 1,626 | CONTRIBUTOR | null | Calling GPT2 with `inputs_embeds` vs calling it with `input_ids` leads to different outcomes when the input sentence has length 1. See the script to reproduce the issue.
## Environment info
- `transformers` version: tried 4.2.1 and 4.8.2
- Platform: MacOS and Ubuntu
- Python version: 3.7
- PyTorch version (G... | {
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https://api.github.com/repos/huggingface/transformers/issues/12485 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12485/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12485/comments | https://api.github.com/repos/huggingface/transformers/issues/12485/events | https://github.com/huggingface/transformers/issues/12485 | 935,882,035 | MDU6SXNzdWU5MzU4ODIwMzU= | 12,485 | Tensorboard error while running mlm_flax TPU example script on TPU | {
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"Can you send me your tpu_name & name of virtual environment in a personal Slack message? I'll have a look",
"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 no... | 1,625 | 1,628 | 1,628 | NONE | null | ## Environment info
Following the https://github.com/huggingface/transformers/tree/master/examples/research_projects/jax-projects#how-to-setup-tpu-vm
## Script
./run_mlm_flax.py \
--output_dir="./" \
--model_type="roberta" \
--config_name="./" \
--tokenizer_name="./" \
--dataset_name="os... | {
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https://api.github.com/repos/huggingface/transformers/issues/12484 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12484/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12484/comments | https://api.github.com/repos/huggingface/transformers/issues/12484/events | https://github.com/huggingface/transformers/issues/12484 | 935,871,661 | MDU6SXNzdWU5MzU4NzE2NjE= | 12,484 | checkpoints are not saved after implementing a custom loss | {
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"Hello! Could you provide the command you ran to run your script? If it's not an official example script, do you have the code you used handy? Thanks!",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this t... | 1,625 | 1,628 | 1,628 | NONE | null | I subclassed Trainer class to implement the supervised constructive loss function (code found using google search). The code is running but it does not save the models checkpoints
`
class SupervisedContrastiveLoss(nn.Module):
def __init__(self, temperature, device):
"""
Implementation of the lo... | {
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https://api.github.com/repos/huggingface/transformers/issues/12483 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12483/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12483/comments | https://api.github.com/repos/huggingface/transformers/issues/12483/events | https://github.com/huggingface/transformers/issues/12483 | 935,868,629 | MDU6SXNzdWU5MzU4Njg2Mjk= | 12,483 | Text Classification on GLUE on TPU using Jax/Flax : BigBird | {
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"I think it is probably not valid to use ``block_sparse`` attention, with ``num_random_blocks=3`` and ``block_size=64`` with a sequence length of just ``128``(which is the length for ``cola``).\r\n\r\nThe notebook works fine upon changing the ``attention_type`` to ``original_full``, as it should be for such short s... | 1,625 | 1,628 | 1,628 | CONTRIBUTOR | null | The notebook for Text Classification on GLUE tasks, provided [here](https://colab.research.google.com/github/huggingface/notebooks/blob/master/examples/text_classification_flax.ipynb) can do with some updates:
1. It has a missing ``from flax import traverse_utils`` which can be added.
2. Replace ``gradient_transforma... | {
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https://api.github.com/repos/huggingface/transformers/issues/12482 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12482/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12482/comments | https://api.github.com/repos/huggingface/transformers/issues/12482/events | https://github.com/huggingface/transformers/issues/12482 | 935,831,892 | MDU6SXNzdWU5MzU4MzE4OTI= | 12,482 | Sources of randomness for Longformer | {
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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 | 1,680 | 1,645 | NONE | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: 4.8.1
- Platform: Ubuntu 20.04.2 LTS
- Python version: 3.7.10
- PyTorch version: 1.7.1
- Using GPU in scri... | {
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https://api.github.com/repos/huggingface/transformers/issues/12481 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12481/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12481/comments | https://api.github.com/repos/huggingface/transformers/issues/12481/events | https://github.com/huggingface/transformers/issues/12481 | 935,643,295 | MDU6SXNzdWU5MzU2NDMyOTU= | 12,481 | How to construct a pretrain by myself using Tensorflow2 +Keras? | {
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"In case you want to pre-train a model on your own data in Tensorflow, please take a look at the [Tensorflow examples](https://github.com/huggingface/transformers/tree/master/examples/tensorflow/language-modeling).",
"This issue has been automatically marked as stale because it has not had recent activity. If you... | 1,625 | 1,628 | 1,628 | NONE | null | # 🚀 Feature request
<!-- A clear and concise description of the feature proposal.
Please provide a link to the paper and code in case they exist. -->
## Motivation
<!-- Please outline the motivation for the proposal. Is your feature request
related to a problem? e.g., I'm always frustrated when [.... | {
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https://api.github.com/repos/huggingface/transformers/issues/12480 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12480/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12480/comments | https://api.github.com/repos/huggingface/transformers/issues/12480/events | https://github.com/huggingface/transformers/pull/12480 | 935,538,190 | MDExOlB1bGxSZXF1ZXN0NjgyNDM0OTg3 | 12,480 | Fix TAPAS test uncovered by #12446 | {
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"Thanks for solving this!"
] | 1,625 | 1,625 | 1,625 | MEMBER | null | #12446 cleaned up a typo in a test name that uncovered a failure in the TAPAS test.
The failure in the TAPAS test is the following: `test_save_load_fast_init_from_base`. It adds a mock initialization. However, TAPAS has `nn.Parameter` attributes which are not impacted by that initialization, and end up having random... | {
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https://api.github.com/repos/huggingface/transformers/issues/12479 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12479/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12479/comments | https://api.github.com/repos/huggingface/transformers/issues/12479/events | https://github.com/huggingface/transformers/issues/12479 | 935,487,575 | MDU6SXNzdWU5MzU0ODc1NzU= | 12,479 | AttributeError when using custom IterableDataset with set_epoch method | {
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"Let us know if the PR above didn't solve your problem!",
"It works, thanks for fixing it swiftly. :+1: "
] | 1,625 | 1,625 | 1,625 | NONE | null | ## Environment info
- `transformers` version: 4.8.2
- Platform: Linux-5.4.0-77-generic-x86_64-with-glibc2.31
- Python version: 3.9.4
- PyTorch version (GPU?): 1.9.0+cpu (False)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not installed
- JaxL... | {
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https://api.github.com/repos/huggingface/transformers/issues/12478 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12478/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12478/comments | https://api.github.com/repos/huggingface/transformers/issues/12478/events | https://github.com/huggingface/transformers/issues/12478 | 935,442,544 | MDU6SXNzdWU5MzU0NDI1NDQ= | 12,478 | Mismatch between tokenizer and model in pipeline | {
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"It's not possible to just mix and match tokenizers with models. The `sentiment-analysis` pipeline uses the `DistilBertForSequenceClassification` model by default. However, you are providing it with a RoBERTa-based tokenizer. DistilBERT does make use of WordPiece tokenization, whereas RoBERTa-like models make use o... | 1,625 | 1,625 | 1,625 | 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: 4.6.1
- Platform: Linux-4.18.0-25-generic-x86_64-with-glibc2.10
- Python version: 3.8.5
- PyTorch version (G... | {
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https://api.github.com/repos/huggingface/transformers/issues/12477 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12477/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12477/comments | https://api.github.com/repos/huggingface/transformers/issues/12477/events | https://github.com/huggingface/transformers/pull/12477 | 935,413,074 | MDExOlB1bGxSZXF1ZXN0NjgyMzMzMjY3 | 12,477 | [Deepspeed] adapt multiple models, add zero_to_fp32 tests | {
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zero_to_fp32 isn't currently being tested on deepspeed side (as I didn't write any tests), so testing it here and while at it starting to include more and more models inste... | {
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https://api.github.com/repos/huggingface/transformers/issues/12476 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12476/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12476/comments | https://api.github.com/repos/huggingface/transformers/issues/12476/events | https://github.com/huggingface/transformers/issues/12476 | 935,367,120 | MDU6SXNzdWU5MzUzNjcxMjA= | 12,476 | How to fine-tune a model with my custom tokenizer? | {
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"Hello, thanks for opening an issue! We try to keep the github issues for bugs/feature requests.\r\nCould you ask your question on the [forum](https://discuss.huggingface.co) instead?\r\n\r\nThanks!",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this stil... | 1,625 | 1,628 | 1,628 | NONE | null | 1. I want to train a tokenizer with my own datasets.
2. I have no enough data and resources to train a pretrained model from scratch.
pipeline:
1. train a tokenizer like [tokenizer_training](https://github.com/huggingface/notebooks/blob/master/examples/tokenizer_training.ipynb)
2. do something with current pretra... | {
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https://api.github.com/repos/huggingface/transformers/issues/12475 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12475/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12475/comments | https://api.github.com/repos/huggingface/transformers/issues/12475/events | https://github.com/huggingface/transformers/issues/12475 | 935,249,539 | MDU6SXNzdWU5MzUyNDk1Mzk= | 12,475 | BartForConditionalGeneration: `decoder_input_ids` should not be computed if `decoder_inputs_embeds` is set | {
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"same problem here, my solution is removing argument `labels`, but I have to calculate loss outside the forward function.",
"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 i... | 1,625 | 1,628 | 1,628 | 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: 4.8.2
- Platform: macOS-10.16-x86_64-i386-64bit
- Python version: 3.8.10
- PyTorch version (GPU?): 1.9.0 (Fa... | {
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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 | ## 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: Ubuntu
- Python version: 3.8
- PyTorch version (GPU?): 1.7 (yes)
- Using GPU in scri... | {
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"@sgugger ",
"It's very much linked to the way we write documentation in Transformers so it would need a bit of work to become a standalone package that can be used. I have no time to do it personally, but if someone wants to start building it, I'm happy to review things!",
"> It's very much linked to the way w... | 1,625 | 1,631 | 1,631 | CONTRIBUTOR | null | Hi,
I like the functionality of your [`utils/style_doc.py`](https://github.com/huggingface/transformers/blob/master/utils/style_doc.py).
Did you ever think about open sourcing it as a python package?
I think other projects might also want to use it.
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https://api.github.com/repos/huggingface/transformers/issues/12472 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12472/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12472/comments | https://api.github.com/repos/huggingface/transformers/issues/12472/events | https://github.com/huggingface/transformers/pull/12472 | 935,135,661 | MDExOlB1bGxSZXF1ZXN0NjgyMTAwOTEz | 12,472 | DistilBERT - Operation reordering for compatibility with TensorRT | {
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"Many thanks @novatig 🙏🏻 💪🏻 \r\n\r\nAs part of Infinity, this PR enables exporting DistilBERT based models to TensorRT plans for efficient inference as explained by @novatig ",
"Test failure unrelated and fixed on `master`.",
"This issue has been automatically marked as stale because it has not had recent a... | 1,625 | 1,629 | 1,629 | CONTRIBUTOR | null | This change avoids an `expand_as` operation on a boolean tensor. Improves compatibility with TensorRT 8.0.
@LysandreJik
@mfuntowicz
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- the documentation notebooks
- the new notebooks to train a tokenizer and a LM from scratch
It also moves the notebooks present in this repo to https://github.com/huggingface/notebooks so that they are all in the same place. | {
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"The training speed of this script compared to `run_mlm_flax` is sadly reduced by ~50%. @lhoestq - I think the \"batchify\" function that is called before every training step is probably the reason for this. "
] | 1,625 | 1,625 | 1,625 | MEMBER | null | # What does this PR do?
This PR adds an example of how to use dataset streaming.
@lhoestq - I would be super happy if you could take a look! I've left some comments that should help understand my thought process. I'd be very happy about some Feedback :-)
The scripts runs as expected at the moment - after your... | {
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"Some TODO ideas (for a later iteration)\r\n* Add small guide on Streamlit\r\n* Add small guide on Gradio\r\n* Add small guide on how to use S (or a video)\r\n* Explain why the importance of a demo",
"I'll merge this today. I'll do a follow up PR on Monday extending the demo section."
] | 1,625 | 1,625 | 1,625 | MEMBER | null | Add a guide on how to build a demo for the Flax sprint. This guide will be also updated early next week, but I would like to submit this version on Friday.
Note: this will be extended more once the evaluation is a bit more defined and with the launch of S. | {
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Currently if there are duplicate definitions of import structure or type hints, the model may or not may fail depending on if the import_structure and TYPE_HINTS are duplicated in the same way. If it fails, it will show the wrong error messa... | {
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xm.rendezvous(tag) instead. | {
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"LGTM!\r\n\r\nOne thing -- In the email you sent to others, or in this README, or both we should say that \"please only SSH into machines where you're collaborating on a project. If there are any concerns about access, we may look at the audit logs to see who accessed which TPUs\" or something like that."
] | 1,625 | 1,625 | 1,625 | MEMBER | null | # What does this PR do?
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"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/master/CONTRIBUTING.md)... | 1,625 | 1,628 | 1,628 | MEMBER | null | cc @patrickvonplaten | {
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"I'd be down to work on this!",
"If we have models on the Hub that are trained to perform this, then it would be fun to have support for it. \r\n\r\nWDYT @Narsil @patil-suraj ?",
"Seems like a good idea to me.\r\n\r\nSince it's performing the same task from a user's perspective and models can only do 1 type of ... | 1,625 | 1,695 | null | NONE | null | # 🚀 Feature request
An extractive summarization pipeline similar to the one for abstractive summarization.
A central place for researchers to upload new models for others to use, without having to run the code from various git repo's.
Currently, extractive summarization is the only safe choice for producing... | {
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https://api.github.com/repos/huggingface/transformers/issues/12459 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12459/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12459/comments | https://api.github.com/repos/huggingface/transformers/issues/12459/events | https://github.com/huggingface/transformers/pull/12459 | 934,816,182 | MDExOlB1bGxSZXF1ZXN0NjgxODMyOTM5 | 12,459 | Fix to keep up with the changes made in fairseq's RobertaModel | {
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"I just ran the script as it is currently with the lastest pypi available fairseq and it converted the model successfully:\r\n\r\n```\r\ntorch.Size([1, 11, 50265]) torch.Size([1, 11, 50265])\r\nmax_absolute_diff = 0.0\r\nDo both models output the same tensors? 🔥\r\nSaving model to here\r\nConfiguration saved in he... | 1,625 | 1,628 | 1,628 | NONE | null | # What does this PR do?
- This PR fixes broken model conversion script.
- Current script seems to be outdated with the latest release and main branch fairseq.
- `RobertaModel.from_pretrained` now returns RobertaHubInterface, which seems to be different from the assumption of the current implementation.
... | {
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This PR fixes the `ctc_loss` test. The problem is that PyTorch ctc_loss implementation https://pytorch.org/docs/stable/generated/torch.nn.CTCLoss.html seems to use too many approximation to ensure deterministic behavior for a test. So in the PR I make the test much less aggressive by simply c... | {
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[google translate<sep> google Übersetzer].
Can I ask how we can change the casual mask to let the training only from the token generation after the context input (\<en-de>\)? Like,
[google translate\<en-de\>] to [go... | {
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"Hi, Wav2Vec2 is not supported by the ONNX converter. Please check out the following PR which offers the possibility to convert existing models to ONNX by defining an architecture: https://github.com/huggingface/transformers/pull/11786. You can see the docs (WIP) for that PR [here](https://235542-155220641-gh.circl... | 1,625 | 1,642 | 1,625 | 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-4.15.0-143-generic-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.6.9
- PyTor... | {
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"So after closely inspecting the code I ran into following comment in method `bigbird_block_sparse_attention`.\r\n\r\nThere I found\r\n```\r\n # BigBird block-sparse attention as suggested in paper\r\n\r\n # ITC:\r\n # global tokens: 2 x block_size\r\n # window tokens: 3 x block_s... | 1,625 | 1,627 | 1,627 | NONE | null | ## Environment info
- `transformers` version: 4.6.1
- Platform: Linux-5.8.0-55-generic-x86_64-with-glibc2.31
- Python version: 3.9.5
- PyTorch version (GPU?): 1.8.1+cu111 (True)
- Tensorflow version (GPU?): not installed (NA)
- Using GPU in script?: no
- Using distributed or parallel set-up in script?: no
#... | {
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https://api.github.com/repos/huggingface/transformers/issues/12454 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12454/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12454/comments | https://api.github.com/repos/huggingface/transformers/issues/12454/events | https://github.com/huggingface/transformers/pull/12454 | 934,667,107 | MDExOlB1bGxSZXF1ZXN0NjgxNzAzNDEx | 12,454 | (WIP) Add FNet with flax template | {
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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 | CONTRIBUTOR | null | # What does this PR do?
This is a demo for #12441
Fixes #12411
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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 | CONTRIBUTOR | null | # What does this PR do?
Tiny fix in the tests of CANINE, namely replace nielsr by the Google namespace.
@LysandreJik | {
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https://api.github.com/repos/huggingface/transformers/issues/12451 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12451/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12451/comments | https://api.github.com/repos/huggingface/transformers/issues/12451/events | https://github.com/huggingface/transformers/issues/12451 | 934,481,418 | MDU6SXNzdWU5MzQ0ODE0MTg= | 12,451 | Wiki content part : XLM-RoBERTa, "xlm-roberta-base" | {
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"Yes, that's because those models are direct subclasses of Roberta, so they have the same documentation.",
"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 ... | 1,625 | 1,628 | 1,628 | NONE | null | In the wiki page for XLM-R
https://huggingface.co/transformers/model_doc/xlmroberta.html
the model name should be 'xlm-roberta-base' instead of 'roberta-base'
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https://api.github.com/repos/huggingface/transformers/issues/12450 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12450/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12450/comments | https://api.github.com/repos/huggingface/transformers/issues/12450/events | https://github.com/huggingface/transformers/issues/12450 | 934,431,763 | MDU6SXNzdWU5MzQ0MzE3NjM= | 12,450 | Finetuned model generates incomprehensible text when used while in memory but works fine when loaded via saved checkpoints. | {
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"Pinging @sgugger as using the `Trainer`",
"I think you forgot to put the model in evaluation mode maybe?",
"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 n... | 1,625 | 1,628 | 1,628 | NONE | null | ## Environment info
- `transformers` version: 4.6.1
- Platform: Linux-5.4.0-1051-aws-x86_64-with-debian-buster-sid
- Python version: 3.7.10
- PyTorch version (GPU?): 1.7.0 (True)
- Tensorflow version (GPU?): not installed (NA)
- Using GPU in script?: Yes
- Using distributed or parallel set-up in script?: No
#... | {
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https://api.github.com/repos/huggingface/transformers/issues/12449 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12449/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12449/comments | https://api.github.com/repos/huggingface/transformers/issues/12449/events | https://github.com/huggingface/transformers/pull/12449 | 934,302,025 | MDExOlB1bGxSZXF1ZXN0NjgxMzg2MDEw | 12,449 | Pass `model_kwargs` when loading a model in `pipeline()` | {
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"I've written a test to ensure the `model_kwargs` parameter is being properly passed when loading a model.",
"Sorry about the failing style checks! I thought I ran them, but I guess not. They're hopefully good now."
] | 1,625 | 1,625 | 1,625 | CONTRIBUTOR | null | # What does this PR do?
Fixes #12448
When working on this, I considered adding a test, but none of the pipeline tests even use the `model_kwargs` parameter. I could add a test to one of the `test_pipelines_*.py` files to ensure that a local cache is used as a way of testing, but I'm not sure if that is the best o... | {
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"You could do it like so:\r\n\r\n```py\r\nfrom transformers import AutoModelForCausalLM, pipeline, AutoTokenizer\r\n\r\nmodel = AutoModelForCausalLM.from_pretrained(\"gpt2\", cache_dir=\"model_cache\")\r\ntokenizer = AutoTokenizer.from_pretrained(\"gpt2\", cache_dir=\"model_cache\")\r\n\r\n_ = pipeline(\"text-gener... | 1,625 | 1,625 | 1,625 | CONTRIBUTOR | null | ## Environment info
- `transformers` version: 4.8.1
- Platform: Linux-3.10.0-1160.31.1.el7.x86_64-x86_64-with-centos-7.9.2009-Core
- Python version: 3.7.9
- PyTorch version (GPU?): 1.8.1+cu102 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax versi... | {
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"nice writeup @patrickvonplaten "
] | 1,625 | 1,625 | 1,625 | MEMBER | null | # What does this PR do?
This PR adds a section on how to use the hub during training. I will talk about his in more detail during my talk tomorrow.. | {
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```
lm_head.decoder.weight = embeddings.word_embeddings.weight
```
and thus `lm_head.decoder.weight` shouldn't be saved or expected to be loaded unless `config.tie_word_embeddings` is `Fa... | {
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https://api.github.com/repos/huggingface/transformers/issues/12445 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12445/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12445/comments | https://api.github.com/repos/huggingface/transformers/issues/12445/events | https://github.com/huggingface/transformers/issues/12445 | 933,969,602 | MDU6SXNzdWU5MzM5Njk2MDI= | 12,445 | Deit | {
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"Are you interested in working on this?\r\n\r\nBasically, to make DeiT scriptable, you need to set `test_torchscript` of the model test as seen [here](https://github.com/huggingface/transformers/blob/0d1f67e651220bffef1441fa7589620e426ba958/tests/test_modeling_deit.py#L160) to `True`, then run the tests (running `p... | 1,625 | 1,628 | 1,628 | CONTRIBUTOR | null | # 🚀 Feature request
The Deit model from torchhub is scriptable, however the pertained version in HF repo, "facebook/deit-base-distilled-patch16-224" is the distilled one which is not scriptable.
This can be tried out using the code below
```
import torch
model = torch.hub.load('facebookresearch/deit:main', ... | {
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