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https://api.github.com/repos/huggingface/transformers/issues/8825 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8825/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8825/comments | https://api.github.com/repos/huggingface/transformers/issues/8825/events | https://github.com/huggingface/transformers/pull/8825 | 752,480,127 | MDExOlB1bGxSZXF1ZXN0NTI4Nzk0Mzc3 | 8,825 | Model parallel tests should return, not pass in non model parallel se… | {
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`pass` does not skip the test; `return` does. | {
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https://api.github.com/repos/huggingface/transformers/issues/8824 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8824/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8824/comments | https://api.github.com/repos/huggingface/transformers/issues/8824/events | https://github.com/huggingface/transformers/pull/8824 | 752,466,838 | MDExOlB1bGxSZXF1ZXN0NTI4Nzg0MDQw | 8,824 | suggest a numerical limit of 50MB for determining @slow | {
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The suggested value is >50MB, and we can adjust it later if it's too large or small.
Fixes: https://github.com/huggingface/transformers/iss... | {
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https://api.github.com/repos/huggingface/transformers/issues/8823 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8823/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8823/comments | https://api.github.com/repos/huggingface/transformers/issues/8823/events | https://github.com/huggingface/transformers/pull/8823 | 752,451,873 | MDExOlB1bGxSZXF1ZXN0NTI4NzcxODk5 | 8,823 | [s2s trainer] fix DP mode | {
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"moving the discussion out of the review commentary as it disappears as soon as it's resolved, so it's best to discuss it in the normal comments as this is what this PR is trying to solve.\r\n\r\n-------------\r\n\r\nOh, I see - thank you for catching that. So I didn't solve the actual problem, but had a luck of hi... | 1,606 | 1,606 | 1,606 | CONTRIBUTOR | null | This PR:
* [x] fixes https://github.com/huggingface/transformers/issues/8822 which currently crashes under multigpu and w/o an explicit ddp mode
* [x] adds tests
* [x] makes `finetune_trainer.py` executable/runnable
@patrickvonplaten, @sgugger | {
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https://api.github.com/repos/huggingface/transformers/issues/8822 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8822/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8822/comments | https://api.github.com/repos/huggingface/transformers/issues/8822/events | https://github.com/huggingface/transformers/issues/8822 | 752,451,561 | MDU6SXNzdWU3NTI0NTE1NjE= | 8,822 | [s2s finetune_trainer] a mess around distributed | {
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"Hi, thanks @stas00 , I would be grateful to integrate this fix, I am currently dealing with this issue and using this script. thanks.",
"Once https://github.com/huggingface/transformers/pull/8823 is merged (hopefully Monday), it will be in master, but feel free to use that branch until then.\r\n",
"Awesome, I ... | 1,606 | 1,606 | 1,606 | CONTRIBUTOR | null | Currently `examples/seq2seq/finetune_trainer.py` bails with multigpu and w/o an explicit ddp mode invoked w/ `-m torch.distributed.launch` - it tries to get the world size thinking it's under ddp, when it's actually under dp.
```
Traceback (most recent call last):
File "finetune_trainer.py", line 310, in <module... | {
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https://api.github.com/repos/huggingface/transformers/issues/8821 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8821/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8821/comments | https://api.github.com/repos/huggingface/transformers/issues/8821/events | https://github.com/huggingface/transformers/issues/8821 | 752,446,020 | MDU6SXNzdWU3NTI0NDYwMjA= | 8,821 | Shared vocabulary with EncoderDecoderModel | {
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"I believe the `EncoderDecoderConfig` class has an argument `tie_encoder_decoder` which can be used to share weights between the encoder and decoder.\r\n\r\nIs this what you're looking for?\r\n\r\n@patrickvonplaten ",
"Thanks @LysandreJik; it's close enough to what I'm looking for. Closing this issue.",
"Hey @b... | 1,606 | 1,606 | 1,606 | NONE | null | # 🚀 Feature request
Currently, two separate models are instantiated as encoder/decoder when using this model class. It would be useful in a lot of fine-tuning applications (i.e. summarization) to share the same embeddings between the encoder / decoder classes -- is this something that could be supported with the libr... | {
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https://api.github.com/repos/huggingface/transformers/issues/8820 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8820/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8820/comments | https://api.github.com/repos/huggingface/transformers/issues/8820/events | https://github.com/huggingface/transformers/pull/8820 | 752,435,382 | MDExOlB1bGxSZXF1ZXN0NTI4NzU4MDk4 | 8,820 | Update README.md | {
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"[https://drive.google.com/file/d/1DDIs0MsvmpJU402o1v7eM-8BS3ACbcKV/view?usp=drivesdk]() ",
"#\r\nDuplicate of #"
] | 1,606 | 1,607 | 1,607 | CONTRIBUTOR | null | # What does this PR do?
<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
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https://api.github.com/repos/huggingface/transformers/issues/8819 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8819/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8819/comments | https://api.github.com/repos/huggingface/transformers/issues/8819/events | https://github.com/huggingface/transformers/pull/8819 | 752,294,184 | MDExOlB1bGxSZXF1ZXN0NTI4NjQ1NzQy | 8,819 | [Examples] fix few typos in help messages and arguments | {
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"Hi @baeseongsu \r\nthanks for opening this. I am actually working on a fairly big PR to revamp these distillation scripts. I'll integrate your modifications directly there to have everything in a single place!\r\nI **hope** to do this by end of week\r\nVictor"
] | 1,606 | 1,606 | 1,606 | CONTRIBUTOR | null | # What does this PR do?
- fix typos in help message
- consistently use `gpus`, instead of `n_gpu` (followed by #6315)
(it's not working because not fully converted)
## 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 ... | {
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https://api.github.com/repos/huggingface/transformers/issues/8818 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8818/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8818/comments | https://api.github.com/repos/huggingface/transformers/issues/8818/events | https://github.com/huggingface/transformers/issues/8818 | 752,285,880 | MDU6SXNzdWU3NTIyODU4ODA= | 8,818 | Slower training time per batch for increasing dataset size | {
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"Mmm, this looks like a problem in Datasets, @lhoestq @thomwolf ?",
"Could you check if the same speed differences appear if you're iterating through the `tokenized_datasets` ? \r\nFor example doing\r\n```python\r\nfor i in range(0, len(tokenized_datasets), batch_size):\r\n batch = tokenized_datasets[i:i + bat... | 1,606 | 1,701 | 1,614 | 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: 4.0.0-rc-1
- `tokenizers` version: 0.9.4
- `datasets` version: 1.1.3
- Platform: Linux-3.10.0-862.el7.x... | {
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https://api.github.com/repos/huggingface/transformers/issues/8817 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8817/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8817/comments | https://api.github.com/repos/huggingface/transformers/issues/8817/events | https://github.com/huggingface/transformers/issues/8817 | 752,279,065 | MDU6SXNzdWU3NTIyNzkwNjU= | 8,817 | cache reuse | {
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"You should use [`save_to_disk`](https://huggingface.co/docs/datasets/package_reference/main_classes.html?highlight=save#datasets.DatasetDict.save_to_disk) and [`load_from_disk`](https://huggingface.co/docs/datasets/package_reference/loading_methods.html?highlight=save_to_disk#datasets.load_from_disk):\r\n\r\n```py... | 1,606 | 1,606 | 1,606 | NONE | null | I have downloaded wikitext by `load_dataset("wikitext", "wikitext-2-raw-v1")`, and get the cache file in `.cache/huggingface/datasets`,
then I try to copy the `huggingface/datasets` folder to the lab server to reuse but fails.
What's the proper way to reuse the cache downloaded on another pc? | {
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https://api.github.com/repos/huggingface/transformers/issues/8816 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8816/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8816/comments | https://api.github.com/repos/huggingface/transformers/issues/8816/events | https://github.com/huggingface/transformers/pull/8816 | 752,251,556 | MDExOlB1bGxSZXF1ZXN0NTI4NjExMzg2 | 8,816 | [Flax test] Add require pytorch to flix flax test | {
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<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
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https://api.github.com/repos/huggingface/transformers/issues/8815 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8815/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8815/comments | https://api.github.com/repos/huggingface/transformers/issues/8815/events | https://github.com/huggingface/transformers/pull/8815 | 752,232,311 | MDExOlB1bGxSZXF1ZXN0NTI4NTk2MjY4 | 8,815 | Fixed typo in README.md of bert-base-greek-uncased-v1 | {
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"Thanks! Looks good to me, just pinging @iliaschalkidis for information/validation",
"Wow, thanks for the fix @mdermentzi. If I recall correctly, I was trying things in an initial scratch python script that was using a universal `text` variable back to back and I though it would be better to rename those in 3 dif... | 1,606 | 1,606 | 1,606 | CONTRIBUTOR | null | # What does this PR do?
The tokenizer called at the input_ids var of Example 2 is currently encoding text_1. This PR is changing the input to text_2.
Motivation and context for this change: I am considering using this model for a uni assignment and it took me a while to understand why the example code was yieldin... | {
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https://api.github.com/repos/huggingface/transformers/issues/8814 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8814/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8814/comments | https://api.github.com/repos/huggingface/transformers/issues/8814/events | https://github.com/huggingface/transformers/issues/8814 | 752,222,055 | MDU6SXNzdWU3NTIyMjIwNTU= | 8,814 | I can not find a Linear layer in the end of Multi-Head Attention layer like Figure 2 right, could someone help me solve it | {
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"A bit more context would be appreciated here"
] | 1,606 | 1,606 | 1,606 | NONE | null | {
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https://api.github.com/repos/huggingface/transformers/issues/8813 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8813/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8813/comments | https://api.github.com/repos/huggingface/transformers/issues/8813/events | https://github.com/huggingface/transformers/pull/8813 | 752,139,549 | MDExOlB1bGxSZXF1ZXN0NTI4NTIwOTIx | 8,813 | Fix check copies | {
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"Replacing the error by a warning defeats the purpose of the check as it will make the CI pass when it should fail. We can see if we want to move it in another command, I'm just afraid it will make the failures in the CI (and what the corresponding fixes are) less understandable to the user.",
"Let me think about... | 1,606 | 1,686 | 1,606 | CONTRIBUTOR | null | # What does this PR do?
The target `make quality` fails when generating the new model table when at least one of the optional packages TF, PT or Flax is not installed. We should not force to have everything installed to do a simple quality check, this can be added to an extra target such as `make full-quality` or so... | {
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https://api.github.com/repos/huggingface/transformers/issues/8812 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8812/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8812/comments | https://api.github.com/repos/huggingface/transformers/issues/8812/events | https://github.com/huggingface/transformers/pull/8812 | 752,089,468 | MDExOlB1bGxSZXF1ZXN0NTI4NDgxMzEz | 8,812 | Ctrl for sequence classification | {
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"Same as GPT-2, this would benefit from also handling padding on the left; I'll work on this in another PR."
] | 1,606 | 1,606 | 1,606 | 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/8811 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8811/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8811/comments | https://api.github.com/repos/huggingface/transformers/issues/8811/events | https://github.com/huggingface/transformers/issues/8811 | 752,010,056 | MDU6SXNzdWU3NTIwMTAwNTY= | 8,811 | HuggingFace pipeline sentiment analysis giving wrong results. | {
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"Hey @vishwa30 - what exactly do you mean by incorrect output? -> The model obviously doesn't always classify the input correctly. Since this issue doesn't seem to be a bug, could you maybe look in the forum whether people asked a similar question before and if not post this one there? :-)\r\n\r\nhttps://discuss.hu... | 1,606 | 1,606 | 1,606 | NONE | null | I am just starting with hugging face and following the official doc. When using sentiment analysis pipeline I am getting incorrect output. I am not sure what's the reason behind it.
```
from transformers import pipeline
classifier=pipeline('sentiment-analysis')
text='This is just a statement'
a=classifier(text)
... | {
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https://api.github.com/repos/huggingface/transformers/issues/8810 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8810/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8810/comments | https://api.github.com/repos/huggingface/transformers/issues/8810/events | https://github.com/huggingface/transformers/pull/8810 | 751,853,187 | MDExOlB1bGxSZXF1ZXN0NTI4Mjg2OTAy | 8,810 | typo | {
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https://api.github.com/repos/huggingface/transformers/issues/8809 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8809/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8809/comments | https://api.github.com/repos/huggingface/transformers/issues/8809/events | https://github.com/huggingface/transformers/pull/8809 | 751,852,317 | MDExOlB1bGxSZXF1ZXN0NTI4Mjg2MjE5 | 8,809 | [model loading] remove pointless log entries | {
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"@LysandreJik, I can totally see your point.\r\n\r\nBut this one says the same thing twice:\r\n```\r\n f\"All model checkpoint weights were used when initializing {model.__class__.__name__}.\\n\"\r\n f\"All the weights of {model.__class__.__name__} were initialized from the model checkpoint at... | 1,606 | 1,606 | 1,606 | CONTRIBUTOR | null | This PR removes 2 IMO-pointless log entries that literally say "all is well".
Log entries are useful for debugging problems, but just add to the noise that make more difficult to see useful entries, when they state the obvious, no?
@sgugger, @LysandreJik
| {
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https://api.github.com/repos/huggingface/transformers/issues/8808 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8808/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8808/comments | https://api.github.com/repos/huggingface/transformers/issues/8808/events | https://github.com/huggingface/transformers/pull/8808 | 751,836,480 | MDExOlB1bGxSZXF1ZXN0NTI4Mjc0MDA4 | 8,808 | Fix dpr<>bart config for RAG | {
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https://api.github.com/repos/huggingface/transformers/issues/8807 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8807/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8807/comments | https://api.github.com/repos/huggingface/transformers/issues/8807/events | https://github.com/huggingface/transformers/pull/8807 | 751,814,263 | MDExOlB1bGxSZXF1ZXN0NTI4MjU3MDUz | 8,807 | [s2s finetune trainer] potpurri of small fixes | {
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@sgugger, @patrickvonplaten | {
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https://api.github.com/repos/huggingface/transformers/issues/8806 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8806/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8806/comments | https://api.github.com/repos/huggingface/transformers/issues/8806/events | https://github.com/huggingface/transformers/pull/8806 | 751,790,244 | MDExOlB1bGxSZXF1ZXN0NTI4MjM4MjU5 | 8,806 | Create README.md | {
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<!--
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https://api.github.com/repos/huggingface/transformers/issues/8805 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8805/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8805/comments | https://api.github.com/repos/huggingface/transformers/issues/8805/events | https://github.com/huggingface/transformers/pull/8805 | 751,785,948 | MDExOlB1bGxSZXF1ZXN0NTI4MjM1MDEz | 8,805 | Revert "[s2s] finetune.py: specifying generation min_length" | {
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https://api.github.com/repos/huggingface/transformers/issues/8804 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8804/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8804/comments | https://api.github.com/repos/huggingface/transformers/issues/8804/events | https://github.com/huggingface/transformers/pull/8804 | 751,741,643 | MDExOlB1bGxSZXF1ZXN0NTI4MTk5MzMz | 8,804 | MPNet: Masked and Permuted Pre-training for Language Understanding | {
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"Hey @StillKeepTry - could you maybe link the paper corresponding to your model add a small PR description? :-) That would be very helpful",
"Thanks for the new PR @StillKeepTry - could you add a `test_modeling_mpnet.py` file - it would be important to test the model :-) \r\n\r\nAlso it would be amazing if you co... | 1,606 | 1,607 | 1,607 | CONTRIBUTOR | null | # Model addition
[MPNet](https://arxiv.org/abs/2004.09297)
## Model description
MPNet introduces a novel self-supervised objective named masked and permuted language modeling for language understanding. It inherits the advantages of both the masked language modeling (MLM) and the permuted language modeling (PLM) ... | {
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https://api.github.com/repos/huggingface/transformers/issues/8803 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8803/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8803/comments | https://api.github.com/repos/huggingface/transformers/issues/8803/events | https://github.com/huggingface/transformers/issues/8803 | 751,716,105 | MDU6SXNzdWU3NTE3MTYxMDU= | 8,803 | Get locally cached models programatically | {
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"I think that would be a cool addition! What do you think @julien-c?",
"Yes, I almost wrote something like that a while ago, so go for it 👍\r\n\r\nTo remove old weights you don't use anymore @cdpierse, we could also document a unix command to `find` files sorted by last access time and `rm` them\r\n\r\n(I think ... | 1,606 | 1,614 | 1,614 | CONTRIBUTOR | null | # 🚀 Feature request
A small utility function to allow users to get a list of model binaries that are cached locally. Each list entry would be a tuple in the form `(model_url, etag, size_in_MB)`.
## Motivation
I have quite a few environments on my local machine containing the package and have downloaded a num... | {
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https://api.github.com/repos/huggingface/transformers/issues/8802 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8802/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8802/comments | https://api.github.com/repos/huggingface/transformers/issues/8802/events | https://github.com/huggingface/transformers/issues/8802 | 751,677,012 | MDU6SXNzdWU3NTE2NzcwMTI= | 8,802 | Use GPT to assign sentence probability/perplexity given previous sentence? | {
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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://discusss.huggingface.co) instead?\r\n\r\nThanks!"
] | 1,606 | 1,606 | 1,606 | NONE | null | Hi!
Is it possible to use GPT to assign a sentence probability given the previous sentences?
I have seen this code here, which can be used to assign a perplexity score to a sentence:
https://github.com/huggingface/transformers/issues/473
But is there a way to compute this score given a certain context (up t... | {
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https://api.github.com/repos/huggingface/transformers/issues/8801 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8801/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8801/comments | https://api.github.com/repos/huggingface/transformers/issues/8801/events | https://github.com/huggingface/transformers/issues/8801 | 751,670,741 | MDU6SXNzdWU3NTE2NzA3NDE= | 8,801 | Multiprocessing behavior change 3.1.0 -> 3.2.0 | {
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"Sorry to insist. Could you at least share your thoughts on this? @LysandreJik @patrickvonplaten ",
"Is the only dependency you change `transformers`? The PyTorch version remained the same (v.1.7.0) for both `transformers` versions? If so, I'll take a deeper look this week.",
"@LysandreJik In both experiments `... | 1,606 | 1,615 | 1,615 | NONE | null | ## Environment info
```
- `transformers` version: 3.2.0
- Platform: Linux-4.15.0-88-generic-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.6.9
- PyTorch version (GPU?): 1.7.0 (True)
- Tensorflow version (GPU?): 2.3.0 (False)
- Using GPU in script?: Yes
- Using distributed or parallel set-up in script?: Y... | {
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https://api.github.com/repos/huggingface/transformers/issues/8800 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8800/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8800/comments | https://api.github.com/repos/huggingface/transformers/issues/8800/events | https://github.com/huggingface/transformers/issues/8800 | 751,610,925 | MDU6SXNzdWU3NTE2MTA5MjU= | 8,800 | Problem with using custom tokenizers with run_mlm.py | {
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"I have simplified the code to show that it is definitely the pretrained tokenizer that breaks the execution:\r\n\r\n```\r\npython run_mlm.py \\\r\n--model_name_or_path bert-base-cased \\\r\n--train_file data.txt \\\r\n--tokenizer_name custom_tokenizer \\\r\n--output_dir output \\\r\n--do_train \\\r\n--num_train_ep... | 1,606 | 1,619 | 1,619 | CONTRIBUTOR | null | Hi! I have an issue with running the `run_mlm.py` script with a tokenizer I myself trained. If I use pretrained tokenizers everything works.
Versions:
```
python: 3.8.3
transformers: 3.5.1
tokenizers: 0.9.4
torch: 1.7.0
```
This is how I train my tokenizer:
```
from tokenizers import BertWordPieceToke... | {
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https://api.github.com/repos/huggingface/transformers/issues/8799 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8799/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8799/comments | https://api.github.com/repos/huggingface/transformers/issues/8799/events | https://github.com/huggingface/transformers/pull/8799 | 751,519,894 | MDExOlB1bGxSZXF1ZXN0NTI4MDE3NzU1 | 8,799 | Warning about too long input for fast tokenizers too | {
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"Failing tests seem to come from some other code (seq2seq)",
"@thomwolf could you review this PR as you're the mastermind behind this code?",
"@LysandreJik May I merge (failing tests and quality is linked to unrelated `finetune.py` code, I tried to rebase but it does not seem to be enough)"
] | 1,606 | 1,606 | 1,606 | CONTRIBUTOR | null | # What does this PR do?
If truncation is not set in tokenizers, but the tokenization is too long
for the model (`model_max_length`), we used to trigger a warning that
The input would probably fail (which it most likely will).
This PR re-enables the warning for fast tokenizers too and uses common code
for the trigg... | {
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https://api.github.com/repos/huggingface/transformers/issues/8798 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8798/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8798/comments | https://api.github.com/repos/huggingface/transformers/issues/8798/events | https://github.com/huggingface/transformers/pull/8798 | 751,493,982 | MDExOlB1bGxSZXF1ZXN0NTI3OTk2MDQz | 8,798 | Fix setup.py on Windows | {
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This PR fixes the target `deps_table_update` on Windows by forcing the newline to be LF. | {
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https://api.github.com/repos/huggingface/transformers/issues/8797 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8797/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8797/comments | https://api.github.com/repos/huggingface/transformers/issues/8797/events | https://github.com/huggingface/transformers/pull/8797 | 751,474,167 | MDExOlB1bGxSZXF1ZXN0NTI3OTc5ODI4 | 8,797 | Minor docs typo fixes | {
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"Looks like you have a styling problem, could you run the command `make style` after doing a dev install with\r\n```\r\npip install -e .[dev]\r\n```\r\nin the repo?",
"Oops! Done."
] | 1,606 | 1,606 | 1,606 | CONTRIBUTOR | null | # What does this PR do?
Just a few typo fixes in the docs.
## 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?
@sgugger | {
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https://api.github.com/repos/huggingface/transformers/issues/8796 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8796/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8796/comments | https://api.github.com/repos/huggingface/transformers/issues/8796/events | https://github.com/huggingface/transformers/pull/8796 | 751,403,581 | MDExOlB1bGxSZXF1ZXN0NTI3OTIyODEw | 8,796 | QARiB Arabic and dialects models | {
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"Thanks @ahmed451! \r\n\r\nFor context, please also read https://discuss.huggingface.co/t/announcement-all-model-cards-will-be-migrated-to-hf-co-model-repos/2755"
] | 1,606 | 1,607 | 1,607 | CONTRIBUTOR | null | # What does this PR do?
<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
Then, please replace this w... | {
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"Oh, looks like there is a last code-style issue to fix. Could you run `make style` on your branch? Then we can merge this.",
"I don't have `make` installed 😄 , what is the style issue? Wonder what style issue can go wrong in such a simple patch. The only thing we added is `self.` in those 2 lines",
"`check_co... | 1,606 | 1,606 | 1,606 | CONTRIBUTOR | null | When training on multiple GPUs, the code wraps a model with torch.nn.DataParallel. However if the model has custom from_pretrained logic, it does not get applied during load_best_model_at_end.
This commit uses the underlying model during load_best_model_at_end, and re-wraps the loaded model with DataParallel.
If ... | {
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"Sadly not at the moment... -> we are currently thinking about how to improve the `generate()` outputs though! ",
"This issue has been automatically marked as stale and been closed because it has not had recent activity. Thank you for your contributions.\n\nIf you think this still needs to be addressed please com... | 1,606 | 1,614 | 1,614 | NONE | null | Hi, I’m currently stucked in getting logits from model.generate. I’m wondering if it is possible to get logits of each seqeucne returned by model.generate. (like logits for each token returned by model.logits) | {
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"The pooling layer is not used during the fine-tuning if doing MLM, so gradients are not retro-propagated through that layer; the parameters are not updated.",
"@LysandreJik The pooling parameters are not needed in MLM fine-tune. But usually, we use MLM to fine-tune BERT on our own corpus, then we use the saved ... | 1,606 | 1,614 | 1,614 | CONTRIBUTOR | null | According to the [code](https://github.com/huggingface/transformers/blob/master/src/transformers/models/bert/modeling_bert.py#L1005): if I want to fine-tune BERT with LM, we don't init pooling layer.
So we loss the original(pre-trained by Google) parameters if we save the fine-tune model and reload it.
Mostly, we us... | {
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https://api.github.com/repos/huggingface/transformers/issues/8792 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8792/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8792/comments | https://api.github.com/repos/huggingface/transformers/issues/8792/events | https://github.com/huggingface/transformers/issues/8792 | 751,327,544 | MDU6SXNzdWU3NTEzMjc1NDQ= | 8,792 | [finetune_trainer] --evaluate_during_training is no more | {
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"Found the source of breakage: https://github.com/huggingface/transformers/pull/8604 - I guess that PR needs more work"
] | 1,606 | 1,606 | 1,606 | CONTRIBUTOR | null | In `examples/seq2seq/builtin_trainer/` all scripts reference `--evaluate_during_training ` but it doesn't exist in pt trainer, but does exist in tf trainer:
```
grep -Ir evaluate_during
builtin_trainer/finetune.sh: --do_train --do_eval --do_predict --evaluate_during_training \
builtin_trainer/train_distil_marian... | {
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https://api.github.com/repos/huggingface/transformers/issues/8791 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8791/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8791/comments | https://api.github.com/repos/huggingface/transformers/issues/8791/events | https://github.com/huggingface/transformers/pull/8791 | 751,314,243 | MDExOlB1bGxSZXF1ZXN0NTI3ODQ5MDEw | 8,791 | [FlaxBert] Fix non-broadcastable attention mask for batched forward-passes | {
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"@mfuntowicz @avital\r\nI just fixed the bug that I was hitting. There might be other places that need this fix as well.",
"Wuuhu - first Flax PR :-). This looks great to me @KristianHolsheimer - think you touched all necessary files as well! \r\n\r\n@mfuntowicz - maybe you can take a look as well",
"**EDIT** I... | 1,606 | 1,606 | 1,606 | CONTRIBUTOR | null | # What does this PR do?
Fixes #8790
## 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/8790 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8790/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8790/comments | https://api.github.com/repos/huggingface/transformers/issues/8790/events | https://github.com/huggingface/transformers/issues/8790 | 751,313,654 | MDU6SXNzdWU3NTEzMTM2NTQ= | 8,790 | [FlaxBert] Non-broadcastable attention mask in batched forward-pass | {
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<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version:
- Platform: Linux
- Python version: 3.8
- JAX version:
- jax==0.2.6
- jaxlib==0.1.57+cuda110
-... | {
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https://api.github.com/repos/huggingface/transformers/issues/8789 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8789/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8789/comments | https://api.github.com/repos/huggingface/transformers/issues/8789/events | https://github.com/huggingface/transformers/issues/8789 | 751,268,360 | MDU6SXNzdWU3NTEyNjgzNjA= | 8,789 | KeyError: 'eval_loss' when fine-tuning gpt-2 with run_clm.py | {
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"This is weird, as the script is tested for evaluation. What does your `dev.txt` file look like?",
"Dev.txt contains text in english, one sentence by line.\r\nThe PC I use has 2 graphic cards, so run_clm.py uses the 2 cards for the training, perhaps the bug occurs only when 2 or more graphic card are used for the... | 1,606 | 1,614 | 1,614 | NONE | null | ## Environment info
- `transformers` version: 4.0.0-rc-1
- Platform: Linux-4.19.0-12-amd64-x86_64-with-glibc2.10
- Python version: 3.8.5
- PyTorch version (GPU?): 1.6.0 (True)
- Tensorflow version (GPU?): 2.2.0 (True)
- Using GPU in script?: yes
- Using distributed or parallel set-up in script?: default option
... | {
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https://api.github.com/repos/huggingface/transformers/issues/8788 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8788/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8788/comments | https://api.github.com/repos/huggingface/transformers/issues/8788/events | https://github.com/huggingface/transformers/pull/8788 | 751,110,468 | MDExOlB1bGxSZXF1ZXN0NTI3Njg2NTU5 | 8,788 | Add QCRI Arabic and Dialectal BERT (QARiB) models | {
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"Thanks for sharing; your filenames are wrong, they should be nested inside folders named from your model id",
"> Thanks for sharing; your filenames are wrong, they should be nested inside folders named from your model id\r\n\r\nThanks Julien, I have updated the branch accordingly.",
"closing in favor of #8796"... | 1,606 | 1,607 | 1,607 | CONTRIBUTOR | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/8787 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8787/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8787/comments | https://api.github.com/repos/huggingface/transformers/issues/8787/events | https://github.com/huggingface/transformers/issues/8787 | 751,000,475 | MDU6SXNzdWU3NTEwMDA0NzU= | 8,787 | QA pipeline fails during convert_squad_examples_to_features | {
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"After updating the run_squad.py script with a newer version of transformers, it works now!\r\n\r\nThank you!",
"@TrupeshKumarPatel Seems that this is not working still. What was the actual solution to this?",
"Hi @aleSuglia,\r\nhere is the updated link: https://github.com/uabinf/nlp-group-project-fall-2020-dee... | 1,606 | 1,613 | 1,606 | 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: 4.0.0-rc-1
- Platform: Linux-3.10.0-1062.9.1.el7.x86_64-x86_64-with-redhat-7.8-Maipo
- Python version: 3... | {
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https://api.github.com/repos/huggingface/transformers/issues/8786 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8786/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8786/comments | https://api.github.com/repos/huggingface/transformers/issues/8786/events | https://github.com/huggingface/transformers/issues/8786 | 750,977,050 | MDU6SXNzdWU3NTA5NzcwNTA= | 8,786 | What would be the license of the model files available in Hugging face repository? | {
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"Maybe @julien-c can answer!",
"You can check on the model hub:\r\neg. apache-2.0 models: https://huggingface.co/models?filter=license:apache-2.0\r\nmit models: https://huggingface.co/models?filter=license:mit\r\n\r\netc.",
"Thanks @julien-c for the update."
] | 1,606 | 1,606 | 1,606 | NONE | null | Dear Team,
Could you clarify what would be the license for different models pushed to hugging face repo like legal_bert, contracts_bert etc? Would the model file follows the same license i.e. Apache 2.0 like the hugging face library?
Regards
Gaurav | {
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https://api.github.com/repos/huggingface/transformers/issues/8785 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8785/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8785/comments | https://api.github.com/repos/huggingface/transformers/issues/8785/events | https://github.com/huggingface/transformers/pull/8785 | 750,976,492 | MDExOlB1bGxSZXF1ZXN0NTI3NTc3NDcy | 8,785 | Update README.md | {
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"Decided to delete \"inference: false\""
] | 1,606 | 1,606 | 1,606 | CONTRIBUTOR | null | Disable Hosted Inference API while output inconsistency is not solved.
"How to use" section.
# What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/8784 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8784/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8784/comments | https://api.github.com/repos/huggingface/transformers/issues/8784/events | https://github.com/huggingface/transformers/issues/8784 | 750,961,168 | MDU6SXNzdWU3NTA5NjExNjg= | 8,784 | Different ouputs from code and Hosted Inference API | {
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"Hi @moniquebm .\r\n\r\nThe hosted inference is running `nlp = pipeline('ner', model=model, tokenizer=tokenizer, grouped_entities=True)` by default.\r\nThere is currently no way to overload it.\r\n\r\nDoes that explain the difference? ",
"Hi @Narsil \r\n\r\n>Does that explain the difference?\r\n\r\nI'm afraid it ... | 1,606 | 1,606 | 1,606 | 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: 3.5.1
- Platform: Windows-10-10.0.19041-SP0
- Python version: 3.8.5
- PyTorch version (GPU?): 1.6.0 (Tr... | {
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<!--
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https://api.github.com/repos/huggingface/transformers/issues/8782 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8782/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8782/comments | https://api.github.com/repos/huggingface/transformers/issues/8782/events | https://github.com/huggingface/transformers/issues/8782 | 750,957,304 | MDU6SXNzdWU3NTA5NTczMDQ= | 8,782 | Unexpected output from bart-large | {
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"@jc-hou: I just tested the above script and I get the same output as you. Why did you close the issue?",
"`res = model.generate(input_ids, num_beams=1, max_length=100, forced_bos_token_id=0)` solves the issue"
] | 1,606 | 1,635 | 1,607 | NONE | null | I am looking this thread about generation, https://stackoverflow.com/questions/64904840/why-we-need-a-decoder-start-token-id-during-generation-in-huggingface-bart
I re-run his code,
Use ```facebook/bart-base``` model,
```
from transformers import *
import torch
model = BartForConditionalGeneration.from_pretr... | {
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https://api.github.com/repos/huggingface/transformers/issues/8781 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8781/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8781/comments | https://api.github.com/repos/huggingface/transformers/issues/8781/events | https://github.com/huggingface/transformers/pull/8781 | 750,906,284 | MDExOlB1bGxSZXF1ZXN0NTI3NTE5NTUz | 8,781 | NerPipeline (TokenClassification) now outputs offsets of words | {
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- It happens that the offsets are missing, it forces the user to pattern
match the "word" from his input, which is not always feasible.
For instance if a sentence contains the same word twice, then there
is no way to know which is which.
- This PR proposes to fix that by outputting 2 new ... | {
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https://api.github.com/repos/huggingface/transformers/issues/8780 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8780/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8780/comments | https://api.github.com/repos/huggingface/transformers/issues/8780/events | https://github.com/huggingface/transformers/issues/8780 | 750,845,308 | MDU6SXNzdWU3NTA4NDUzMDg= | 8,780 | Can't load tokenizer for 'facebook/rag-token-base/question_encoder_tokenizer'. | {
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"Was fixed on master, could you try from master?\r\n\r\ncc @lhoestq @patrickvonplaten ",
"Thanks @julien-c ! It worked using master. But I had this other issue:\r\n\r\n`Using custom data configuration dummy.psgs_w100.nq.no_index\r\nReusing dataset wiki_dpr (/Users/rcoutin/.cache/huggingface/datasets/wiki_dpr/dumm... | 1,606 | 1,606 | 1,606 | NONE | null | Hi all! I'm getting this error when trying to run the example code:
Can't load tokenizer for 'facebook/rag-token-base/question_encoder_tokenizer'. Make sure that:
- 'facebook/rag-token-base/question_encoder_tokenizer' is a correct model identifier listed on 'https://huggingface.co/models'
- or 'facebook/rag-to... | {
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https://api.github.com/repos/huggingface/transformers/issues/8779 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8779/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8779/comments | https://api.github.com/repos/huggingface/transformers/issues/8779/events | https://github.com/huggingface/transformers/pull/8779 | 750,823,565 | MDExOlB1bGxSZXF1ZXN0NTI3NDUwMjQx | 8,779 | Fix PPLM | {
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"PPLM is unfortunately not maintained anymore. The fix would be to pin the `transformers` version in the PPLM README.",
"pinging @w4nderlust and @mimosavvy just in case",
"This looks good to me, I believe the return of dict (very welcome change by the way) from the model should be the only thing breaking the pp... | 1,606 | 1,606 | 1,606 | CONTRIBUTOR | null | # What does this PR do?
API changes break PPLM example, this PR should fix it. However I haven't test it on 'run_pplm_discrim_train.py'.
<!--
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... | {
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https://api.github.com/repos/huggingface/transformers/issues/8778 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8778/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8778/comments | https://api.github.com/repos/huggingface/transformers/issues/8778/events | https://github.com/huggingface/transformers/issues/8778 | 750,810,187 | MDU6SXNzdWU3NTA4MTAxODc= | 8,778 | Using the XLNet or Tranformer-XL as an EncoderDecoder | {
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"@patrickvonplaten any thoughts on this? Since, I found your work on Bert2Bert very informative :)",
"Hey @gulnazaki - you can use XLNet as an encoder, but not as a decoder because it'll be very difficult to add cross-attention functionality to XLNet for the decoder...",
"Thanks @patrickvonplaten , I thought so... | 1,606 | 1,614 | 1,614 | NONE | null | I want to train a long sequence dataset (MIDI text event representation like the one in [MuseNet](https://openai.com/blog/musenet/#dataset)) from scratch. Since, I can't split the sequence to "sentences" I am using XLNet (or Transformer-XL). I am modelling the task as a sequence2sequence task (with max input seq length... | {
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"Thanks @patrickvonplaten!\r\n\r\nAs detailed in the first post, boolean parameters cannot be set during the model call in graph mode. This is the major feature brought by this PR. I wanted to focus of TF T5 and TF Bart on a later PR once this logic is ok at least for all the others.",
"There is now a better warn... | 1,606 | 1,607 | 1,607 | CONTRIBUTOR | null | # What does this PR do?
This PR provides a better handling for the booleans. More precisely, the execution mode (eager or graph) is detected and the booleans are accordingly set to have a proper execution. Nevertheless, this brings a small breaking change in graph mode, it is not possible anymore to update the boole... | {
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https://api.github.com/repos/huggingface/transformers/issues/8776 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8776/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8776/comments | https://api.github.com/repos/huggingface/transformers/issues/8776/events | https://github.com/huggingface/transformers/issues/8776 | 750,541,624 | MDU6SXNzdWU3NTA1NDE2MjQ= | 8,776 | Documentation and source for `RobertaClassificationHead` | {
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"> which feeds the pooled output into a multilayer feedforward-network with one hidden layer and tanh activation. So this is more than only a simple linear layer.\r\n\r\nActually, the final hidden representation of the `[CLS]` token (or `<s>` token in case of RoBERTa) is not the pooled output. Applying the feedforw... | 1,606 | 1,606 | 1,606 | CONTRIBUTOR | null | The docstring for `RobertaForSequenceClassification` says
```
RoBERTa Model transformer with a sequence classification/regression head on top (a linear layer on top of the pooled output) e.g. for GLUE tasks
```
Looking at the code, this does not seem correct. Here, the RoBERTa output is fed into an instance of th... | {
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https://api.github.com/repos/huggingface/transformers/issues/8775 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8775/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8775/comments | https://api.github.com/repos/huggingface/transformers/issues/8775/events | https://github.com/huggingface/transformers/issues/8775 | 750,413,539 | MDU6SXNzdWU3NTA0MTM1Mzk= | 8,775 | Converting all model Config classes to dataclasses | {
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"I think it would be nice indeed.\r\n\r\nIt's been on the TO-DO list for a long time (cc @julien-c) but I think nobody's reached it yet so feel free to tackle it :)\r\n\r\nFull (and tested) backward compatibility will be paramount though",
"@thomwolf Thanks for responding— I can start working on this once I get d... | 1,606 | 1,651 | null | CONTRIBUTOR | null | It seems that we could save a lot of boilerplate code and potentially prevent some bugs if we migrated all of the model config classes over to being dataclasses. Already many of our classes (BaseModelOutput, TrainingArguments, etc.) are dataclasses, so we are already committed to having dataclasses as a dependency.
... | {
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https://api.github.com/repos/huggingface/transformers/issues/8774 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8774/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8774/comments | https://api.github.com/repos/huggingface/transformers/issues/8774/events | https://github.com/huggingface/transformers/pull/8774 | 750,238,291 | MDExOlB1bGxSZXF1ZXN0NTI2OTM2Njc3 | 8,774 | Big model table | {
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This PR adds a big table in the first page of the doc, indicating whether each of our models has support for a slow/fast tokenizer, PyTorch, TensorFlow and Flax. Result can be found [here](https://125258-155220641-gh.circle-artifacts.com/0/docs/_build/html/index.html) (scroll a bit down).
It... | {
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https://api.github.com/repos/huggingface/transformers/issues/8773 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8773/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8773/comments | https://api.github.com/repos/huggingface/transformers/issues/8773/events | https://github.com/huggingface/transformers/issues/8773 | 750,092,949 | MDU6SXNzdWU3NTAwOTI5NDk= | 8,773 | saving checkpoints on gs bucket | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n",
"This issue has been automatically marked as stale and been closed because it has not had recent activity. Thank you for your contributi... | 1,606 | 1,614 | 1,614 | NONE | null | Hi
In case of running on cloud, the model does not work to save the checkpoints on gs bucket, could you help please?
thanks | {
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https://api.github.com/repos/huggingface/transformers/issues/8772 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8772/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8772/comments | https://api.github.com/repos/huggingface/transformers/issues/8772/events | https://github.com/huggingface/transformers/issues/8772 | 750,068,293 | MDU6SXNzdWU3NTAwNjgyOTM= | 8,772 | Possible to add additional features as input to TFBertForSequenceClassification? | {
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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://discusss.huggingface.co) instead?\r\n\r\nThanks!"
] | 1,606 | 1,606 | 1,606 | NONE | null | Say I have a binary classification problem, but in addition to the sentence I'd like to also input some scalar value as well. Is it possible to just tack on this scalar as input to the last linear layer of BERT?
For example, I'd like to detect if a particular sentence is from my source data or generated. And I know ... | {
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https://api.github.com/repos/huggingface/transformers/issues/8771 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8771/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8771/comments | https://api.github.com/repos/huggingface/transformers/issues/8771/events | https://github.com/huggingface/transformers/issues/8771 | 750,033,515 | MDU6SXNzdWU3NTAwMzM1MTU= | 8,771 | Model Parallelism and Big Models | {
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"Thank you, @alexorona!\r\n\r\nI'm still in the process of gathering info/reading up and doing some small experimentation, so will post my thoughts once I have something concrete to share.\r\n\r\nHere are some resources if someone wants to join in:\r\n\r\nAbbreviations:\r\n\r\n- MP = Model Parallelism\r\n- DP = Dat... | 1,606 | 1,695 | null | CONTRIBUTOR | null | # 🚀 Feature request
This is a discussion issue for training/fine-tuning very large transformer models. Recently, model parallelism was added for gpt2 and t5. The current implementation is for PyTorch only and requires manually modifying the model classes for each model. Possible routes (thanks to @stas00 for ident... | {
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https://api.github.com/repos/huggingface/transformers/issues/8770 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8770/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8770/comments | https://api.github.com/repos/huggingface/transformers/issues/8770/events | https://github.com/huggingface/transformers/pull/8770 | 749,953,145 | MDExOlB1bGxSZXF1ZXN0NTI2Njg1MDkx | 8,770 | Extend typing to path-like objects in `PretrainedConfig` and `PreTrainedModel` | {
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"Good idea!\r\n\r\nThis could be done for tokenizers as well, no? (the `from_pretrained` for tokenizers is in `tokenization_utils_base.py`)",
"I have extended the same modifications to the tokenizers, as suggested by @thomwolf , and to auto classes too."
] | 1,606 | 1,606 | 1,606 | CONTRIBUTOR | null | # What does this PR do?
In my experience, I often call the `from_pretrained` and `save_pretrained` methods of models and configurations with a path-like variable rather than a string. Since the paths are then used by various `os` functions, this works just fine: however, the relevant variables are typed as strings o... | {
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https://api.github.com/repos/huggingface/transformers/issues/8769 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8769/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8769/comments | https://api.github.com/repos/huggingface/transformers/issues/8769/events | https://github.com/huggingface/transformers/issues/8769 | 749,905,825 | MDU6SXNzdWU3NDk5MDU4MjU= | 8,769 | LXMERT - Visual features don't match original implementation | {
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"Hi @eladsegal ! \r\n\r\nThis is indeed interesting. The FRCNN config should match the exact setting used in the original demo. I will say, however, everything is finicky, but has been tested + should work.\r\n\r\nCould you let me know if you:\r\n- modified any of the settings in the config\r\n- provide a link to t... | 1,606 | 1,609 | 1,607 | CONTRIBUTOR | null | ## Environment info
- `transformers` version: 4.0.0-rc-1
- Platform: Linux-4.15.0-122-generic-x86_64-with-debian-buster-sid
- Python version: 3.7.9
- PyTorch version (GPU?): 1.7.0+cu101 (True)
- Tensorflow version (GPU?): not installed (NA)
- Using GPU in script?: Yes
- Using distributed or parallel set-up in sc... | {
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https://api.github.com/repos/huggingface/transformers/issues/8768 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8768/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8768/comments | https://api.github.com/repos/huggingface/transformers/issues/8768/events | https://github.com/huggingface/transformers/pull/8768 | 749,890,314 | MDExOlB1bGxSZXF1ZXN0NTI2NjMyNjAy | 8,768 | Attempt to get a better fix for QA | {
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<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
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https://api.github.com/repos/huggingface/transformers/issues/8767 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8767/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8767/comments | https://api.github.com/repos/huggingface/transformers/issues/8767/events | https://github.com/huggingface/transformers/issues/8767 | 749,876,277 | MDU6SXNzdWU3NDk4NzYyNzc= | 8,767 | Allow to set truncation strategy for pipeline | {
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"Indeed, not being able to pass tokenizer arguments is a limiting factor of the pipelines. We're working on pipelines v2 (cc @mfuntowicz) which will allow such arguments to be passed.\r\n\r\nIn the meantime, we would definitely welcome a PR offering this functionality - but it would have to be agnostic to the argum... | 1,606 | 1,614 | 1,614 | NONE | null | # 🚀 Feature request
The highlevel pipeline function should allow to set the truncation strategy of the tokenizer in the pipeline.
## Motivation
Some models will crash if the input sequence has too many tokens and require truncation. Additionally available memory is limited and it is often useful to shorten th... | {
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https://api.github.com/repos/huggingface/transformers/issues/8766 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8766/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8766/comments | https://api.github.com/repos/huggingface/transformers/issues/8766/events | https://github.com/huggingface/transformers/issues/8766 | 749,864,145 | MDU6SXNzdWU3NDk4NjQxNDU= | 8,766 | [Error: PyTorch to tf]convert_pytorch_checkpoint_to_tf2: AttributeError: bert.pooler.dense.weight not found in PyTorch model | {
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"Hey @singhsidhukuldeep, \r\n\r\nCould you maybe upload your weights to a colab so that I can reproduce the error or upload your weights to the model hub and give me a path to it? \r\n\r\nThis way, I can reproduce the error and solve it :-) \r\n\r\nThanks a lot!",
"Hi @patrickvonplaten ,\r\n\r\nI tried this\r\n``... | 1,606 | 1,614 | 1,614 | 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: 3.5.1
- Platform: Linux-5.4.0-1029-gcp-x86_64-with-glibc2.10
- Python version: 3.8.5
- PyTorch version ... | {
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https://api.github.com/repos/huggingface/transformers/issues/8765 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8765/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8765/comments | https://api.github.com/repos/huggingface/transformers/issues/8765/events | https://github.com/huggingface/transformers/pull/8765 | 749,825,329 | MDExOlB1bGxSZXF1ZXN0NTI2NTc4Mzk0 | 8,765 | Fix QA argument handler | {
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"The errors are due to connection errors."
] | 1,606 | 1,606 | 1,606 | MEMBER | null | The QA argument handler does not handle multiple sequences at a time anymore. This was not tested, so I added it to the tests.
Fix https://github.com/huggingface/transformers/issues/8759
To test it out run the following on `master`:
```py
from transformers import pipeline
nlp = pipeline("question-answering... | {
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https://api.github.com/repos/huggingface/transformers/issues/8764 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8764/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8764/comments | https://api.github.com/repos/huggingface/transformers/issues/8764/events | https://github.com/huggingface/transformers/pull/8764 | 749,796,758 | MDExOlB1bGxSZXF1ZXN0NTI2NTU0NjU5 | 8,764 | Tokenizers - move from hardcoded configs and models to fully hosted | {
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"This issue has been automatically marked as stale and been closed because it has not had recent activity. Thank you for your contributions.\n\nIf you think this still needs to be addressed please comment on this thread."
] | 1,606 | 1,651 | 1,614 | MEMBER | null | # What does this PR do?
Fixes #8125 #8117
Tokenizer checkpoint files are now handled the same way than model files.
Also:
- add a `tokenizer_class_name` field in the tokenization config file `tokenizer_config.json`. This field is used when possible by `AutoTokenizer` to disambiguate the tokenizer to instanti... | {
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https://api.github.com/repos/huggingface/transformers/issues/8763 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8763/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8763/comments | https://api.github.com/repos/huggingface/transformers/issues/8763/events | https://github.com/huggingface/transformers/pull/8763 | 749,788,584 | MDExOlB1bGxSZXF1ZXN0NTI2NTQ3NTgz | 8,763 | Migration guide from v3.x to v4.x | {
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"Will update the switch to fast tokenizers when a decision has been made @thomwolf @n1t0 ",
"@sgugger please let me know if this is what you had in mind."
] | 1,606 | 1,606 | 1,606 | MEMBER | null | Additionally to the release notes, this completes the migration guide to showcase the expected breaking changes from v3.x to v4.x, and how to retrieve the original behavior. | {
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https://api.github.com/repos/huggingface/transformers/issues/8762 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8762/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8762/comments | https://api.github.com/repos/huggingface/transformers/issues/8762/events | https://github.com/huggingface/transformers/issues/8762 | 749,745,855 | MDU6SXNzdWU3NDk3NDU4NTU= | 8,762 | AttributeError: type object 'T5ForConditionalGeneration' has no attribute 'from_config' | {
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"I also tried to use automodel for this, I needed to modify the T5Config, I called it like this with automodel. thank you for your help. I need to make this work with not pretrained model. \r\n\r\n` model = AutoModel.from_config(config)\r\n`\r\nI am getting this error:\r\n\r\n```\r\nTraceback (most recent call las... | 1,606 | 1,606 | 1,606 | NONE | null | ## Environment info
- `transformers` version: 3.5.1
- Platform: Linux
- Python version: 3.7
- PyTorch version (GPU?): 1.6
- Tensorflow version (GPU?): -
- Using GPU in script?: no
- Using distributed or parallel set-up in script?: no
### Who can help
Model Cards: @julien-c
Text Generation: @patrickvon... | {
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https://api.github.com/repos/huggingface/transformers/issues/8759 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8759/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8759/comments | https://api.github.com/repos/huggingface/transformers/issues/8759/events | https://github.com/huggingface/transformers/issues/8759 | 749,686,010 | MDU6SXNzdWU3NDk2ODYwMTA= | 8,759 | Version 3.5 broke the multi context/questions feature for the QuestionAnsweringPipeline | {
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"Thank you for reporting this. Fixing it in #8765"
] | 1,606 | 1,606 | 1,606 | NONE | null | ## Environment info
- `transformers` version: 3.5.1 (also in 3.5.0)
- Platform: Darwin-20.1.0-x86_64-i386-64bit
- Python version: 3.7.5
- PyTorch version (GPU?): 1.7.0 (False)
- Tensorflow version (GPU?): 2.3.1 (False)
- Using GPU in script?: no
- Using distributed or parallel set-up in script?: no
###... | {
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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://discusss.huggingface.co) instead?\r\n\r\nThanks!"
] | 1,606 | 1,606 | 1,606 | NONE | null | I want to figure out some way to get faster results from a QA model. I did some tests on google cloud with different GPUs and got some results, those tests was made with different GPUs and same CPU using this code:
```
from transformers import AutoTokenizer, AutoModelForQuestionAnswering
from transformers.pipeline... | {
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"You should first convert your checkpoint to a huggingface checkpoint, using the conversion script. You can check the [docs here](https://huggingface.co/transformers/converting_tensorflow_models.html#bert).",
"Hi @LysandreJik \r\nThank you so much for the response,\r\nafter training I will get a PyTorch checkpoin... | 1,606 | 1,614 | 1,614 | NONE | null | ## Environment info
- `transformers` version: 3.5.1
- Platform: Linux-5.4.0-1029-gcp-x86_64-with-glibc2.10
- Python version: 3.8.5
- PyTorch version (GPU?): 1.7.0 (False)
- Tensorflow version (GPU?): 2.3.1 (False)
- Using GPU in script?: no
- Using distributed or parallel set-up in script?: no
### Who ca... | {
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"You should first convert your checkpoint to a huggingface checkpoint. You can check the docs on how to do that [here](https://huggingface.co/transformers/converting_tensorflow_models.html#bert).",
"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no f... | 1,606 | 1,614 | 1,614 | NONE | null | # 🚀 Feature request
I am looking for continued training of original tiny-bert with my own raw data using masked language modelling.
But I want the final model in TF.
## Motivation
I tried this [LM](https://github.com/huggingface/transformers/blob/master/examples/language-modeling/run_mlm_wwm.py), but this o... | {
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https://api.github.com/repos/huggingface/transformers/issues/8755 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8755/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8755/comments | https://api.github.com/repos/huggingface/transformers/issues/8755/events | https://github.com/huggingface/transformers/issues/8755 | 749,567,125 | MDU6SXNzdWU3NDk1NjcxMjU= | 8,755 | Why there are no such 'cls/' layers in roberta pytorch checkpoints | {
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"The authors of RoBERTa removed the next sentence prediction task during pre-training, as it didn't help much. See section 1 of the [paper](https://arxiv.org/pdf/1907.11692.pdf).",
"> The authors of RoBERTa removed the next sentence prediction task during pre-training, as it didn't help much. See section 1 of the... | 1,606 | 1,606 | 1,606 | NONE | null | In pytorch checkpoints of roberta in huggingface transformers, the last two layers are the "pooler layers":
pooler.dense.weight
pooler.dense.bias
However, In original roberta tensorflow checkpoints, the last few layers are not the pooler layers, instead, they are:
cls/predictions/output_bias (DT_FLOAT) [21128]
... | {
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https://api.github.com/repos/huggingface/transformers/issues/8754 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8754/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8754/comments | https://api.github.com/repos/huggingface/transformers/issues/8754/events | https://github.com/huggingface/transformers/issues/8754 | 749,564,651 | MDU6SXNzdWU3NDk1NjQ2NTE= | 8,754 | Allow to provide specific params in WandbCallback | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n",
"Sorry I just noticed this issue.\r\nYou can actually already do it. After your run has been created, you can do `wandb.config['frozen_l... | 1,606 | 1,619 | 1,619 | CONTRIBUTOR | null | # 🚀 Feature request
It would be nice to be able to track additional params in wandb when using the Trainer interface. For example, I need to track down how many layers were frozen in each experiment. I'm currently using a custom WandCallback class to do this.
## Your contribution
I can work on a PR.
| {
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"Closing this one as duplicate was already merged!\r\n\r\nFor context please also read https://discuss.huggingface.co/t/announcement-all-model-cards-will-be-migrated-to-hf-co-model-repos/2755"
] | 1,606 | 1,607 | 1,607 | CONTRIBUTOR | null | # What does this PR do?
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"Update model card"
] | 1,606 | 1,607 | 1,607 | NONE | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/8750 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8750/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8750/comments | https://api.github.com/repos/huggingface/transformers/issues/8750/events | https://github.com/huggingface/transformers/pull/8750 | 749,302,153 | MDExOlB1bGxSZXF1ZXN0NTI2MTQxMTYy | 8,750 | Fix minor bug to handle dynamic sequence length | {
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"Hi! Could you run `make quality` at the root of your clone so that it passes the code quality test?",
"@LysandreJik : I did run `make quality` but got the following error:\r\n\r\n`(pyvenv3-transformers-forked) ➜ transformers git:(master-minor-fix-t5) make quality\r\nblack --check examples tests src utils\r\nAll... | 1,606 | 1,697 | null | NONE | null | This PR is to fix a minor bug for handling dynamic sequence length, e.g., during building the serving model(s). | {
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https://api.github.com/repos/huggingface/transformers/issues/8749 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8749/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8749/comments | https://api.github.com/repos/huggingface/transformers/issues/8749/events | https://github.com/huggingface/transformers/issues/8749 | 749,300,370 | MDU6SXNzdWU3NDkzMDAzNzA= | 8,749 | [core] transformers version number normalization | {
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"We're making a release today, so will change the version number to the proper format just after :-)",
"Following what @sgugger said!"
] | 1,606 | 1,608 | 1,608 | CONTRIBUTOR | null | It looks that we need to either normalize the `transformers` version number to one of the accepted formats:
```
x.y.z
x.y.z.dev0
x.y.z.rc1
```
or silence the warning.
Currently, `setuptools` doesn't like `-rc-1` and `-dev`, as you can see from:
```
python setup.py --name
.../python3.8/site-packages/setu... | {
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https://api.github.com/repos/huggingface/transformers/issues/8748 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8748/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8748/comments | https://api.github.com/repos/huggingface/transformers/issues/8748/events | https://github.com/huggingface/transformers/issues/8748 | 749,265,320 | MDU6SXNzdWU3NDkyNjUzMjA= | 8,748 | "AutoTokenizer.from_pretrained" does not work when loading a pretrained Albert model | {
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"Can you share your version of `transformers`, `tokenizers`?",
"I can reproduce this in a Colab notebook when doing `pip install transformers`. \r\n- Transformers version 3.5.1\r\n- Tokenizers version 0.9.3\r\n\r\nMight be solved with v4? ",
"I am having the same issue with AlbertTokenizer.from_pretrained",
"... | 1,606 | 1,628 | 1,614 | 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:
- Platform: 5.4.0-53-generic #59~18.04.1-Ubuntu SMP Wed Oct 21 12:14:56 UTC 2020 x86_64 x86_64 x86_64 GNU... | {
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https://api.github.com/repos/huggingface/transformers/issues/8747 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8747/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8747/comments | https://api.github.com/repos/huggingface/transformers/issues/8747/events | https://github.com/huggingface/transformers/pull/8747 | 749,214,877 | MDExOlB1bGxSZXF1ZXN0NTI2MDY4MTc5 | 8,747 | Return correct Bart hidden state tensors | {
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"## UPDATE:\r\n\r\nThis PR is ready for review.\r\n\r\n@sgugger, @LysandreJik - this very-well documented issue: https://github.com/huggingface/transformers/issues/8601 shows that for some models the gradient of the outputted `hidden_states` and the `attentions` cannot be computed because the tensors are excluded f... | 1,606 | 1,613 | 1,606 | CONTRIBUTOR | null | # What does this PR do?
Fixes #8601. When `output_hidden_states=True`, hidden states transposing is done _before_ being fed through the next layer. This ensures that the returned hidden state tensors lie upstream in the graph from the model outputs (allowing their gradients to be computed). | {
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https://api.github.com/repos/huggingface/transformers/issues/8746 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8746/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8746/comments | https://api.github.com/repos/huggingface/transformers/issues/8746/events | https://github.com/huggingface/transformers/pull/8746 | 749,203,633 | MDExOlB1bGxSZXF1ZXN0NTI2MDU5MDc4 | 8,746 | Fix slow tests v2 | {
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"@stas00 I performed the merge using the steps I've written and no references or pings are made, so it works. Let me know if some improvements can be made.\r\nThanks.",
"Sorry, this one should've been for merging into my fork. Created the PR in the wrong place.\r\nI'll do a rebase for merge here."
] | 1,606 | 1,606 | 1,606 | CONTRIBUTOR | null | # What does this PR do?
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Currently fails a lot of slow tests. | {
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<!-- 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/8740 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8740/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8740/comments | https://api.github.com/repos/huggingface/transformers/issues/8740/events | https://github.com/huggingface/transformers/issues/8740 | 749,111,184 | MDU6SXNzdWU3NDkxMTExODQ= | 8,740 | Blank line indicates the end of a document for NER training ? | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n",
"This issue has been automatically marked as stale and been closed because it has not had recent activity. Thank you for your contributi... | 1,606 | 1,614 | 1,614 | NONE | null | Hi everyone!
In the <https://huggingface.co/transformers/custom_datasets.html#token-classification-with-w-nut-emerging-entities> , it says that each line of the dataset file contains either (1) a word and tag separated by a tab, or (2) a blank line indicating the end of a document.
The blank line should not rep... | {
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https://api.github.com/repos/huggingface/transformers/issues/8739 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8739/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8739/comments | https://api.github.com/repos/huggingface/transformers/issues/8739/events | https://github.com/huggingface/transformers/issues/8739 | 749,090,434 | MDU6SXNzdWU3NDkwOTA0MzQ= | 8,739 | AttributeError: 'BertTokenizerFast' object has no attribute 'max_len' | {
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"It is actually due to https://github.com/huggingface/transformers/pull/8604, where we removed several deprecated arguments. The `run_language_modeling.py` script is deprecated in favor of `language-modeling/run_{clm, plm, mlm}.py`.\r\n\r\nIs it possible for you to switch to one of these newer scripts? If not, the ... | 1,606 | 1,663 | 1,606 | CONTRIBUTOR | null | ## Environment info
- `transformers` version: 4.0.0-rc-1
- Platform: Linux-4.9.0-14-amd64-x86_64-with-debian-9.13
- Python version: 3.6.10
- PyTorch version (GPU?): 1.8.0a0+4ed7f36 (False)
- Tensorflow version (GPU?): not installed (NA)
- Using GPU in script?: No
- Using distributed or parallel set-up in s... | {
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https://api.github.com/repos/huggingface/transformers/issues/8738 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8738/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8738/comments | https://api.github.com/repos/huggingface/transformers/issues/8738/events | https://github.com/huggingface/transformers/pull/8738 | 749,075,961 | MDExOlB1bGxSZXF1ZXN0NTI1OTU0NjIy | 8,738 | Fix max length in run_plm script | {
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The XLNet tokenizer has a ridiculously high maximum sequence length, so the `run_plm` was failing without setting the `max_seq_length` argument. This PR fixes that by setting default of 512 to it.
Fixes #8674
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https://api.github.com/repos/huggingface/transformers/issues/8737 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8737/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8737/comments | https://api.github.com/repos/huggingface/transformers/issues/8737/events | https://github.com/huggingface/transformers/pull/8737 | 749,070,627 | MDExOlB1bGxSZXF1ZXN0NTI1OTUwMzY1 | 8,737 | consistent ignore keys + make private | {
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"oh, boy, there is also `authorized_unexpected_keys`\r\n\r\nhttps://github.com/huggingface/transformers/blob/49759c0cda29ab614b81e0869972c99f2edba7aa/src/transformers/modeling_tf_utils.py#L346-L354\r\n",
"Indeed, very nice catch! How should we rename that one? ",
"Current `authorized_missing_keys` and `authoriz... | 1,606 | 1,606 | 1,606 | CONTRIBUTOR | null | This PR addresses https://github.com/huggingface/transformers/issues/7258
(the proposal has evolved a bit since the initial PR, this comments reflects the current state)
* [x] renames optional model attributes:
```
- authorized_missing_keys => _keys_to_ignore_on_load_missing
- authorized_unexpected_keys... | {
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https://api.github.com/repos/huggingface/transformers/issues/8736 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8736/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8736/comments | https://api.github.com/repos/huggingface/transformers/issues/8736/events | https://github.com/huggingface/transformers/issues/8736 | 749,054,684 | MDU6SXNzdWU3NDkwNTQ2ODQ= | 8,736 | [trainer] `model` argument is not the same depending on n_gpus | {
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"Note that this all internal and a user only interacts/get used with that if they subclass `Trainer` and override the `prediction_step` method. I would keep it simple since it's touching a small part of our users that should be experienced enough to be able to read the docstrings, and just detail in the docstrings ... | 1,606 | 1,611 | 1,611 | CONTRIBUTOR | null | Extracting the discussion from https://github.com/huggingface/transformers/pull/8716
Summary of the issue: `prediction_step()` has a `model` argument which is a normal model with n_gpu < 2, and a wrapped DataParallel model with n_gpu > 1. So the API suffers from ambiguity here.
The user has to really use `self.mo... | {
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https://api.github.com/repos/huggingface/transformers/issues/8735 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8735/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8735/comments | https://api.github.com/repos/huggingface/transformers/issues/8735/events | https://github.com/huggingface/transformers/issues/8735 | 749,041,393 | MDU6SXNzdWU3NDkwNDEzOTM= | 8,735 | Model can't be downloaded | {
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"Hey @moniquebm, \r\n\r\nI cannot reproduce this error on master.\r\n\r\nit looks like you are working with an old version of transformers. Could you try updating `transformers` to `3.5.0` to see if the error persists?\r\n\r\nAnother reason why this doesn't work might be that you have a directory locally that is al... | 1,606 | 1,606 | 1,606 | 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: 3.1.0
- Platform: Windows-10-10.0.19041-SP0
- Python version: 3.8.5
- PyTorch version (GPU?): 1.6.0 (Tr... | {
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https://api.github.com/repos/huggingface/transformers/issues/8734 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8734/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8734/comments | https://api.github.com/repos/huggingface/transformers/issues/8734/events | https://github.com/huggingface/transformers/pull/8734 | 749,036,008 | MDExOlB1bGxSZXF1ZXN0NTI1OTIyMzM0 | 8,734 | Change default cache path | {
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In Datasets, the default cache path ends up in `~/.cache/huggingface/datasets`, controlled by the environment variable `HF_HOME`. This PR uses the same env variable for the default cache path.
To avoid breaking changes:
- it still honors old environment variable names, if set
- if none is ... | {
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https://api.github.com/repos/huggingface/transformers/issues/8733 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8733/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8733/comments | https://api.github.com/repos/huggingface/transformers/issues/8733/events | https://github.com/huggingface/transformers/issues/8733 | 749,024,245 | MDU6SXNzdWU3NDkwMjQyNDU= | 8,733 | [proposal] do not load all 3rd party packaged unless needed | {
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"It's hard to debate without seeing actual code on this. Am I 100% happy with the current implementation? Not really. But it's simple enough that the code stays easy to read. I'm afraid something more dynamic (like importing tf only when instantiating a TFModel for instance) would mean harder code. So I reserve my ... | 1,606 | 1,610 | 1,610 | CONTRIBUTOR | null | This is a proposal to not load everything with `import transformers`, but instead load things as they are needed.
## Background of the need
* For example what is realistic usage pattern for `tensorflow` in transformers - I know we have `USE_TF=False,` but perhaps it can be made by default `False` and only load it... | {
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https://api.github.com/repos/huggingface/transformers/issues/8732 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8732/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8732/comments | https://api.github.com/repos/huggingface/transformers/issues/8732/events | https://github.com/huggingface/transformers/issues/8732 | 749,000,096 | MDU6SXNzdWU3NDkwMDAwOTY= | 8,732 | [Benchmark] V100/A100 benchmarks, dashboard concept | {
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"That's incredible @tlkh!",
"By the way, did you try to use the [benchmarking tool](https://huggingface.co/transformers/benchmarks.html) that we have in the library to run this evaluation?",
"> By the way, did you try to use the benchmarking tool that we have in the library to run this evaluation?\r\n\r\nI did ... | 1,606 | 1,614 | 1,614 | CONTRIBUTOR | null | # 🖥 Benchmarking `transformers`
I benchmarked a couple of models (training) on V100 and A100 and wrapped everything into a Streamlit dashboard [link here](https://share.streamlit.io/tlkh/transformers-benchmarking/main/app.py).
This dashboard shows the measured performance of GPUs when training various configurat... | {
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https://api.github.com/repos/huggingface/transformers/issues/8731 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8731/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8731/comments | https://api.github.com/repos/huggingface/transformers/issues/8731/events | https://github.com/huggingface/transformers/pull/8731 | 748,969,773 | MDExOlB1bGxSZXF1ZXN0NTI1ODY4Nzg3 | 8,731 | [Pegasus] Refactor Tokenizer | {
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"Checked all slow and fast tests on GPU.",
"> You removed the links to google/sentencepiece but you kept the `Based on SentencePiece.`.\r\n> \r\n> It seems to me that if we reference SentencePiece then it's good to keep a link to the library, no? Based on SentencePiece means that it's based on the library IMO, ma... | 1,606 | 1,619 | 1,606 | MEMBER | null | # What does this PR do?
<!--
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Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
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https://api.github.com/repos/huggingface/transformers/issues/8730 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8730/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8730/comments | https://api.github.com/repos/huggingface/transformers/issues/8730/events | https://github.com/huggingface/transformers/pull/8730 | 748,950,278 | MDExOlB1bGxSZXF1ZXN0NTI1ODUyOTIz | 8,730 | fix rag index names in eval_rag.py example | {
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As specified in the rag configuration (see [documentation](https://huggingface.co/transformers/model_doc/rag.html?highlight=rag#transformers.RagConfig)), one can choose between 'legacy', 'exact' and 'compressed'. The legacy index is the original index used f... | {
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TODOs:
- [x] Make the collator working with Numpy/JAX array
- [x] Make sure the training actually works on larger scale
- [x] Make it possible to train from scratch
- [x] Support TPU (`bfloat16`)
- [ ] Support GPU amp (`floa... | {
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https://api.github.com/repos/huggingface/transformers/issues/8727 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8727/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8727/comments | https://api.github.com/repos/huggingface/transformers/issues/8727/events | https://github.com/huggingface/transformers/pull/8727 | 748,720,197 | MDExOlB1bGxSZXF1ZXN0NTI1NjYyODM4 | 8,727 | [model_cards]: control input examples of Geotrend models | {
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https://api.github.com/repos/huggingface/transformers/issues/8726 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/8726/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/8726/comments | https://api.github.com/repos/huggingface/transformers/issues/8726/events | https://github.com/huggingface/transformers/issues/8726 | 748,681,378 | MDU6SXNzdWU3NDg2ODEzNzg= | 8,726 | It seem do not support convert multilabel classification model to onnx ? | {
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"Hi @MrRace, \r\n\r\nthanks for reporting the issue. \r\n\r\nWhat model are you using as multilabels classification support?",
"> Hi @MrRace,\r\n> \r\n> thanks for reporting the issue.\r\n> \r\n> What model are you using as multilabels classification support?\r\n\r\nThanks for your reply. I use BERT to do multila... | 1,606 | 1,619 | 1,619 | NONE | null | I have fine tune my multilabel classification model(pytorch)，and try to use the `from transformers.convert_graph_to_onnx import convert` to convert the pytorch model to onnx model. As the `pipeline_name` is pre-defined, and it seems not be suited to multilabel classification， therefor I try use `pipeline_name="sentime... | {
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