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https://api.github.com/repos/huggingface/transformers/issues/6921 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6921/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6921/comments | https://api.github.com/repos/huggingface/transformers/issues/6921/events | https://github.com/huggingface/transformers/pull/6921 | 691,950,542 | MDExOlB1bGxSZXF1ZXN0NDc4NjE1MjM0 | 6,921 | [model_cards] Fixed some typing mistakes in usage sections in model cards. | {
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] | closed | false | null | [] | [] | 1,599 | 1,599 | 1,599 | CONTRIBUTOR | null | Loodos model cards had errors on "Usage" section. It is fixed. Also "electra-base-turkish-uncased" model removed from s3 and re-uploaded as "electra-base-turkish-uncased-discriminator". Its README added.
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https://api.github.com/repos/huggingface/transformers/issues/6920 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6920/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6920/comments | https://api.github.com/repos/huggingface/transformers/issues/6920/events | https://github.com/huggingface/transformers/issues/6920 | 691,833,574 | MDU6SXNzdWU2OTE4MzM1NzQ= | 6,920 | (ONNX) Error while converting the model: bad allocation | {
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"Ok, I know it was my fault. I didn't add the argument `--use-external-format` (gpt2-xl is more than 2GB)\r\nActually I had to open the convert_graph_to_onnx.py file and read each argument's description\r\nThanks again, I'm closing the issue now."
] | 1,599 | 1,599 | 1,599 | NONE | null | I was trying to convert gpt2-xl model to onnx model using convert_graph_to_onnx.py.
It ran for a while and stopped with some errors:
`TracerWarning: Converting a tensor to a Python float might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant ... | {
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https://api.github.com/repos/huggingface/transformers/issues/6919 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6919/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6919/comments | https://api.github.com/repos/huggingface/transformers/issues/6919/events | https://github.com/huggingface/transformers/pull/6919 | 691,607,899 | MDExOlB1bGxSZXF1ZXN0NDc4MzI4MTgy | 6,919 | tweak tar command in readme | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6919?src=pr&el=h1) Report\n> Merging [#6919](https://codecov.io/gh/huggingface/transformers/pull/6919?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/dfa10a41ba3fd9c5289bebd3baeff8792b1b2281?el=desc) will **decrease... | 1,599 | 1,599 | 1,599 | CONTRIBUTOR | null | {
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https://api.github.com/repos/huggingface/transformers/issues/6918 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6918/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6918/comments | https://api.github.com/repos/huggingface/transformers/issues/6918/events | https://github.com/huggingface/transformers/issues/6918 | 691,584,218 | MDU6SXNzdWU2OTE1ODQyMTg= | 6,918 | RuntimeError: Internal: /sentencepiece/src/sentencepiece_processor.cc(818) [model_proto->ParseFromArray(serialized.data(), serialized.size())] | {
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"The `AlbertTokenizer` in `transformers` is a SentencePiece based tokenizer, so it cannot load `vocab.txt`. You could try loading it in `BertTokenizer`, as it seems to be a wordpiece tokenizer vocabulary.",
"This issue has been automatically marked as stale because it has not had recent activity. It will be close... | 1,599 | 1,605 | 1,605 | NONE | null | # ❓ When I used transformers based on jupyter, it can't get vocab,but the function AlbertModel.from_pretrained is available
**CODE:**
from transformers import AlbertTokenizer, AlbertModel
import torch
tokenizer = AlbertTokenizer.from_pretrained("./albert-v1/vocab.txt")
**The following error occurs:**
Call... | {
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https://api.github.com/repos/huggingface/transformers/issues/6917 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6917/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6917/comments | https://api.github.com/repos/huggingface/transformers/issues/6917/events | https://github.com/huggingface/transformers/issues/6917 | 691,563,796 | MDU6SXNzdWU2OTE1NjM3OTY= | 6,917 | T5 Tokenizer fails to decode correctly and prints ⁇ | {
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"@mfuntowicz - Since T5 relies on google's sentencepiece tokenizer for now, can we do anything against it before our own sentencepiece tokenizer is implemented? ",
"Verified that this is a problem with the original T5 sentencepience tokenizer. Opened an issue with the Google's T5 repository. https://github.com/go... | 1,599 | 1,599 | 1,599 | CONTRIBUTOR | null | T5 Tokenizer tokenizes this following sequence to
```
>>> from transformers import T5Tokenizer
>>> tokenizer = T5Tokenizer.from_pretrained("t5-base")
>>> print(tokenizer.tokenize("My phone number is 1-${phone.number}"))
['▁My', '▁phone', '▁number', '▁is', '▁1-', '$', '{', 'phone', '.', 'num', 'ber', '}']
```
S... | {
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https://api.github.com/repos/huggingface/transformers/issues/6916 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6916/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6916/comments | https://api.github.com/repos/huggingface/transformers/issues/6916/events | https://github.com/huggingface/transformers/issues/6916 | 691,450,286 | MDU6SXNzdWU2OTE0NTAyODY= | 6,916 | [model weights caching] model upload doesn't check model weights hash | {
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"I can confirm it was previously checking the model weights and re-downloading if the weights had been changed. Investigating.",
"This is due to the CDN caching files, with a 24 hour delay. After 24 hours it should download your file, but if you want it now you can use the `use_cdn` flag and set it to `False`. Yo... | 1,599 | 1,604 | 1,604 | CONTRIBUTOR | null | I have re-uploaded model weights via `transformers-cli upload` and noticed that when I tried to use it - it didn't get re-downloaded, and instead continued to use the cached version.
The problem seems to come from the fact that the other uploaded files haven't changed, only the model weights.
I double checked tha... | {
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https://api.github.com/repos/huggingface/transformers/issues/6915 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6915/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6915/comments | https://api.github.com/repos/huggingface/transformers/issues/6915/events | https://github.com/huggingface/transformers/pull/6915 | 691,413,647 | MDExOlB1bGxSZXF1ZXN0NDc4MTYyMzkx | 6,915 | Fix mixed precision issue in TF DistilBert | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6915?src=pr&el=h1) Report\n> Merging [#6915](https://codecov.io/gh/huggingface/transformers/pull/6915?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/4ebb52afdb4dc4bcd599e7cb503763e5d4afc962?el=desc) will **increase... | 1,599 | 1,651 | 1,599 | COLLABORATOR | null | Fix mixed precision issue in TF DistilBert by removing hard-coded uses of float32.
<!-- This line specifies which issue to close after the pull request is merged. -->
Fixes #6858
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https://api.github.com/repos/huggingface/transformers/issues/6914 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6914/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6914/comments | https://api.github.com/repos/huggingface/transformers/issues/6914/events | https://github.com/huggingface/transformers/pull/6914 | 691,377,847 | MDExOlB1bGxSZXF1ZXN0NDc4MTMxOTAw | 6,914 | Template updates | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6914?src=pr&el=h1) Report\n> Merging [#6914](https://codecov.io/gh/huggingface/transformers/pull/6914?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/4ebb52afdb4dc4bcd599e7cb503763e5d4afc962?el=desc) will **increase... | 1,599 | 1,599 | 1,599 | COLLABORATOR | null | When adding the Funnel Transformer, I noticed a few things wrong in the template. This PR fixes those.
- using `transformers.testing_utils` instead of `.utils`
- remove xxx from names in tests (as @patrickvonplaten has done recently on Bert)
- add multiple choice model test
- fix label names in masked lm model
-... | {
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https://api.github.com/repos/huggingface/transformers/issues/6913 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6913/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6913/comments | https://api.github.com/repos/huggingface/transformers/issues/6913/events | https://github.com/huggingface/transformers/issues/6913 | 691,373,137 | MDU6SXNzdWU2OTEzNzMxMzc= | 6,913 | Small bug on website | {
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"Hi! Yes, this isn't an issue, this is the intended behavior. It's the standard behavior with Sphinx/ReadTheDocs. You can see a similar example with the [PyTorch docs](https://pytorch.org/docs/stable/tensors.html)."
] | 1,599 | 1,599 | 1,599 | NONE | null | Hi, I am not sure if this is the correct place to report this but all the web pages of https://huggingface.co/transformers/master/index.html are having some issues with scrolling. Scrolling the main text (right side) also scrolls the table of contents(left part) | {
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https://api.github.com/repos/huggingface/transformers/issues/6912 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6912/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6912/comments | https://api.github.com/repos/huggingface/transformers/issues/6912/events | https://github.com/huggingface/transformers/issues/6912 | 691,363,867 | MDU6SXNzdWU2OTEzNjM4Njc= | 6,912 | batch_encode_plus does not lead to the same predictions as encode_plus | {
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"Hi, are you sure your issue comes from the tokenizer? If you encode your text using `encode_plus` and `batch_encode_plus`, do you see a difference in the tokens generated?",
"I only use encode_plus and batch_encode_plus and call model inference. I do not think the model inference is the problem as you see in t... | 1,599 | 1,605 | 1,605 | NONE | null | I use batch_encode_plus to speed up the predictions but it leads to different results compared to "encode_plus"
```
tokenizer = AutoTokenizer.from_pretrained("deepset/roberta-base-squad2")
inputs = tokenizer.encode_plus(QA_input['question'], QA_input['context'], padding = True, add_special_tokens=True,
```
and
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https://api.github.com/repos/huggingface/transformers/issues/6911 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6911/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6911/comments | https://api.github.com/repos/huggingface/transformers/issues/6911/events | https://github.com/huggingface/transformers/pull/6911 | 691,351,577 | MDExOlB1bGxSZXF1ZXN0NDc4MTA5NDE4 | 6,911 | [s2s]: script to convert pl checkpoints to hf checkpoints | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6911?src=pr&el=h1) Report\n> Merging [#6911](https://codecov.io/gh/huggingface/transformers/pull/6911?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/4ebb52afdb4dc4bcd599e7cb503763e5d4afc962?el=desc) will **increase... | 1,599 | 1,599 | 1,599 | CONTRIBUTOR | null | {
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https://api.github.com/repos/huggingface/transformers/issues/6910 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6910/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6910/comments | https://api.github.com/repos/huggingface/transformers/issues/6910/events | https://github.com/huggingface/transformers/issues/6910 | 691,314,741 | MDU6SXNzdWU2OTEzMTQ3NDE= | 6,910 | adding additional additional_special_tokens to tokenizer has inconsistent behavior | {
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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"
] | 1,599 | 1,604 | 1,604 | NONE | null | ## Environment info
- `transformers` version: 3.1.0
- Platform: Linux-5.4.0-45-generic-x86_64-with-debian-bullseye-sid
- Python version: 3.6.10
- PyTorch version (GPU?): 1.6.0 (True)
- Tensorflow version (GPU?): not installed (NA)
- Using GPU in script?: no
- Using distributed or parallel set-up in script?: no... | {
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https://api.github.com/repos/huggingface/transformers/issues/6909 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6909/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6909/comments | https://api.github.com/repos/huggingface/transformers/issues/6909/events | https://github.com/huggingface/transformers/issues/6909 | 691,259,406 | MDU6SXNzdWU2OTEyNTk0MDY= | 6,909 | [style] automate reformatting with pre-commit hooks | {
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"I personally wouldn't like having a pre-commit hook change all my commits without me being able to see the end result.\r\nOn my setup, I have a pre-push hook that aborts a push if make quality fails. I think if we had an install script, we could handle both options?",
"This issue has been automatically marked as... | 1,599 | 1,647 | 1,604 | CONTRIBUTOR | null | # 🚀 Feature request
I was just reading how `make style` can be automated with pre-commit hooks. Noticing how often I run and even more often forget to run `make style` before committing, perhaps others are in the same boat - and therefore I thought to propose to the dev community to (mostly) automate this process. ... | {
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https://api.github.com/repos/huggingface/transformers/issues/6908 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6908/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6908/comments | https://api.github.com/repos/huggingface/transformers/issues/6908/events | https://github.com/huggingface/transformers/pull/6908 | 691,164,378 | MDExOlB1bGxSZXF1ZXN0NDc3OTQwMTM4 | 6,908 | Funnel transformer | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6908?src=pr&el=h1) Report\n> Merging [#6908](https://codecov.io/gh/huggingface/transformers/pull/6908?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/0f360d3d1c606d6d79cdf1efa53c3d719249573d?el=desc) will **increase... | 1,599 | 1,599 | 1,599 | COLLABORATOR | null | <!-- This line specifies which issue to close after the pull request is merged. -->
Fixes #4844
This PR adds the Funnel Transformer architecture in PyTorch. For now, I have uploaded two of the ten checkpoints for this model, I will convert and upload the other ones while this PR is under review and add them before... | {
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https://api.github.com/repos/huggingface/transformers/issues/6907 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6907/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6907/comments | https://api.github.com/repos/huggingface/transformers/issues/6907/events | https://github.com/huggingface/transformers/pull/6907 | 691,120,792 | MDExOlB1bGxSZXF1ZXN0NDc3OTAyODg5 | 6,907 | Torchscript benchmark measure | {
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"Results for 1):\r\n\r\n```\r\n1 / 1\r\n\r\n==================== INFERENCE - SPEED - RESULT ====================\r\n--------------------------------------------------------------------------------\r\n Model Name Batch Size Seq Length Time in s \r\n-------------------------... | 1,599 | 1,605 | 1,605 | MEMBER | null | This PR is just there to show some benchmarking results of `BertScriptableModel` vs. `BertModel`. It shows the results of running the script: `benchmark_pytorch_scripting.py`.
In a nutshell, the script does the following:
1) Create a list of 500 and 2500 `input_tensors` of `batch_size` 1 with a sequence length v... | {
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https://api.github.com/repos/huggingface/transformers/issues/6906 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6906/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6906/comments | https://api.github.com/repos/huggingface/transformers/issues/6906/events | https://github.com/huggingface/transformers/pull/6906 | 691,069,211 | MDExOlB1bGxSZXF1ZXN0NDc3ODU5ODMy | 6,906 | Update to the huBERT model card. | {
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https://api.github.com/repos/huggingface/transformers/issues/6905 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6905/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6905/comments | https://api.github.com/repos/huggingface/transformers/issues/6905/events | https://github.com/huggingface/transformers/pull/6905 | 691,049,877 | MDExOlB1bGxSZXF1ZXN0NDc3ODQzNzYx | 6,905 | Changed link to the correct paper in the second paragraph | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6905?src=pr&el=h1) Report\n> Merging [#6905](https://codecov.io/gh/huggingface/transformers/pull/6905?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/8f2723caf0f1bf7e1f639d28d004f81c96d19bbc?el=desc) will **decrease... | 1,599 | 1,599 | 1,599 | CONTRIBUTOR | null | {
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https://api.github.com/repos/huggingface/transformers/issues/6904 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6904/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6904/comments | https://api.github.com/repos/huggingface/transformers/issues/6904/events | https://github.com/huggingface/transformers/issues/6904 | 690,987,887 | MDU6SXNzdWU2OTA5ODc4ODc= | 6,904 | Greedy decoding for non-beam-search appears to ignore postprocessing | {
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"Didn't realize that `postprocess_next_token_scores` mutates its argument."
] | 1,599 | 1,599 | 1,599 | 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: 3.0.2
- Platform: Linux-4.4.0-18362-Microsoft-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.6.9
-... | {
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https://api.github.com/repos/huggingface/transformers/issues/6903 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6903/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6903/comments | https://api.github.com/repos/huggingface/transformers/issues/6903/events | https://github.com/huggingface/transformers/pull/6903 | 690,960,795 | MDExOlB1bGxSZXF1ZXN0NDc3NzY5NzE1 | 6,903 | Output attention takes an s | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6903?src=pr&el=h1) Report\n> Merging [#6903](https://codecov.io/gh/huggingface/transformers/pull/6903?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/485da7222f7f9ca9854db1a6df027b00d348d017?el=desc) will **increase... | 1,599 | 1,599 | 1,599 | COLLABORATOR | null | <!-- This line specifies which issue to close after the pull request is merged. -->
Fixes #6902
Stas would have come with a nice Perl magic command but I did a regex search (`output_attention[^s]`) to fix all those misspelled args. In the process, I noticed a few examples were missing a line so added that too. | {
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https://api.github.com/repos/huggingface/transformers/issues/6902 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6902/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6902/comments | https://api.github.com/repos/huggingface/transformers/issues/6902/events | https://github.com/huggingface/transformers/issues/6902 | 690,940,905 | MDU6SXNzdWU2OTA5NDA5MDU= | 6,902 | Example config code uses invalid 'output_attention' rather than 'output_attentions' | {
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"Thanks for reporting! The PR mentioned above should fix all of those."
] | 1,599 | 1,599 | 1,599 | NONE | null | Looks like documentation only bug. `output_attention` used rather than `output_attentions`.
Occurs in multiple places in repo.
Maybe linked to #2985
## Environment info
- `transformers` version: 3.1.0
- Platform: Darwin-19.6.0-x86_64-i386-64bit
- Python version: 3.7.4
- PyTorch version (GPU?): 1.5.1 (... | {
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https://api.github.com/repos/huggingface/transformers/issues/6901 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6901/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6901/comments | https://api.github.com/repos/huggingface/transformers/issues/6901/events | https://github.com/huggingface/transformers/issues/6901 | 690,773,288 | MDU6SXNzdWU2OTA3NzMyODg= | 6,901 | Relaxing `PreTrainedModel` requirement in _save | {
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"I don't see anything blocking with this. Wdyt @sgugger @julien-c ?",
"We can give a warning but then the rest of the method will fail. Are you thinking of aborting the save entirely for models that are not `PretrainedModel`s? Also, why are you not inheriting from `PretrainedModel` in your example? Is there somet... | 1,599 | 1,601 | 1,601 | CONTRIBUTOR | null | # 🚀 Feature request
It's great to see that `Trainer` is becoming flexible. Each functions seems to be more self contained now making inheritance easier. I've experimented with many custom models. For instance,
```
class Model(nn.Module):
def __init__(self, ..):
self.encoder = AutoModel.from_pretraine... | {
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https://api.github.com/repos/huggingface/transformers/issues/6900 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6900/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6900/comments | https://api.github.com/repos/huggingface/transformers/issues/6900/events | https://github.com/huggingface/transformers/issues/6900 | 690,768,192 | MDU6SXNzdWU2OTA3NjgxOTI= | 6,900 | Can DistilBert.forward() support token_type_ids ? | {
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"DistilBERT can support sentence pair-like inputs but does not make use of token type IDs. It detects sentence pairs according to the special tokens. cc @VictorSanh ",
"@Yusifu Did you find a solution for this problem? I'm also doing sentence-pair classification (NLI) with Distilbert.",
"This issue has been aut... | 1,599 | 1,606 | 1,606 | NONE | null | I am using DistilBert to distill a pretrained Bert model. That is Bert -> DistilBert.
The input of Bert is a sentence pair: [CLS] Hello word [SEP] Hello Python [SEP].
But DistilBert dose not support sentence pair inputs.
Can DistilBert support sentence pair-like inputs? | {
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https://api.github.com/repos/huggingface/transformers/issues/6899 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6899/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6899/comments | https://api.github.com/repos/huggingface/transformers/issues/6899/events | https://github.com/huggingface/transformers/issues/6899 | 690,710,065 | MDU6SXNzdWU2OTA3MTAwNjU= | 6,899 | Can the GPT2 of Transformers receive output hidden_states from external Encoder? | {
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"Hey @wulaoshi - I don't fully understand your question. Could you maybe post such a higher level question on the forum at `discuss.huggingface.co` ? :-) ",
"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 you... | 1,599 | 1,605 | 1,605 | NONE | null | # ❓ Questions & Help
<!-- The GitHub issue tracker is primarly intended for bugs, feature requests,
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https://api.github.com/repos/huggingface/transformers/issues/6898 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6898/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6898/comments | https://api.github.com/repos/huggingface/transformers/issues/6898/events | https://github.com/huggingface/transformers/pull/6898 | 690,706,463 | MDExOlB1bGxSZXF1ZXN0NDc3NTYxNDQ1 | 6,898 | [testing] fix ambiguous test | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6898?src=pr&el=h1) Report\n> Merging [#6898](https://codecov.io/gh/huggingface/transformers/pull/6898?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/d822ab636b6a14ed50f7bca0797c1de42c19de61?el=desc) will **increase... | 1,599 | 1,599 | 1,599 | CONTRIBUTOR | null | Since `generate()` does:
```
num_beams = num_beams if num_beams is not None else self.config.num_beams
```
This test fails if `model.config.num_beams > 1` (which is the case in the model I'm porting).
This fix makes the test setup unambiguous by passing an explicit `num_beams=1` to `generate()`.
Thank... | {
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https://api.github.com/repos/huggingface/transformers/issues/6897 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6897/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6897/comments | https://api.github.com/repos/huggingface/transformers/issues/6897/events | https://github.com/huggingface/transformers/pull/6897 | 690,688,635 | MDExOlB1bGxSZXF1ZXN0NDc3NTQ2OTYy | 6,897 | Update modeling_bert.py | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6897?src=pr&el=h1) Report\n> Merging [#6897](https://codecov.io/gh/huggingface/transformers/pull/6897?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/d822ab636b6a14ed50f7bca0797c1de42c19de61?el=desc) will **increase... | 1,599 | 1,599 | 1,599 | CONTRIBUTOR | null | outptus -> outputs in example of BertForPreTraining
<!-- This line specifies which issue to close after the pull request is merged. -->
Fixes #{issue number}
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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"
] | 1,599 | 1,604 | 1,604 | NONE | null | # ❓ Questions & Help
<!-- The GitHub issue tracker is primarly intended for bugs, feature requests,
new models and benchmarks, and migration questions. For all other questions,
we direct you to the Hugging Face forum: https://discuss.huggingface.co/ .
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Fixes #{issue number}
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"You can try the following changes:\r\n\r\n```python\r\nfrom transformers import BertPreTrainedModel, RobertaModel, ROBERTA_PRETRAINED_MODEL_ARCHIVE_LIST, RobertaConfig\r\n\r\nclass RobertaForMD(BertPreTrainedModel): # Metaphor Detection, modified from BertForTokenClassification\r\n config_class = RobertaConfig\... | 1,599 | 1,605 | 1,605 | NONE | null | ```
from transformers import BertPreTrainedModel, RobertaModel
import torch
class RobertaForMD(BertPreTrainedModel): # Metaphor Detection, modified from BertForTokenClassification
def __init__(self, config):
super().__init__(config)
self.num_labels = config.num_labels
self.bert ... | {
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https://api.github.com/repos/huggingface/transformers/issues/6893 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6893/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6893/comments | https://api.github.com/repos/huggingface/transformers/issues/6893/events | https://github.com/huggingface/transformers/pull/6893 | 690,508,745 | MDExOlB1bGxSZXF1ZXN0NDc3Mzg2MTIy | 6,893 | Model card for huBERT | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6893?src=pr&el=h1) Report\n> Merging [#6893](https://codecov.io/gh/huggingface/transformers/pull/6893?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/d822ab636b6a14ed50f7bca0797c1de42c19de61?el=desc) will **increase... | 1,599 | 1,599 | 1,599 | CONTRIBUTOR | null | {
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https://api.github.com/repos/huggingface/transformers/issues/6892 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6892/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6892/comments | https://api.github.com/repos/huggingface/transformers/issues/6892/events | https://github.com/huggingface/transformers/issues/6892 | 690,499,535 | MDU6SXNzdWU2OTA0OTk1MzU= | 6,892 | [t5] Missing requirements in examples/seq2seq | {
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"Those requirements are all in [here](https://github.com/huggingface/transformers/blob/master/examples/requirements.txt). Are you sure you ran `pip install -r ./examples/requirements.txt` as mentioned in the [README of all examples](https://github.com/huggingface/transformers/tree/master/examples#important-note)?\r... | 1,599 | 1,599 | 1,599 | NONE | null | Hi! This is a very small fix. But it seems like some requirements for examples/seq2seq are missing? Namely, rouge-score, gitpython, sacrebleu. Is this intentional (conflicts with other example requirements)? Of course, would be happy to open a PR
## Environment info
- `transformers` version: 8b884dadc6bd70600c98b... | {
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"I don't see the transformers code that creates this bug. In 3.1.0, `DistilBertConfig` definitely has a 'return_dict' `attribute`. I tried to use your code to investigate the error, but it fails on the line `flair_sent = flair.models.TextClassifier.load('en-sentiment')` for me.\r\n\r\nHappy to investigate a code sa... | 1,598 | 1,599 | 1,599 | NONE | null | ## Environment info
- `transformers` version: 3.1.0
- Platform: Linux-4.19.112+-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.6.9
- PyTorch version (GPU?): 1.6.0+cu101 (False)
- Tensorflow version (GPU?): 2.3.0 (False)
- Using GPU in script?: <True>
- Using distributed or parallel set-up in script?: <False... | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6890?src=pr&el=h1) Report\n> Merging [#6890](https://codecov.io/gh/huggingface/transformers/pull/6890?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/3726754a6c646adcf9cb2135ab7f72dffe074473?el=desc) will **decrease... | 1,598 | 1,599 | 1,599 | MEMBER | null | Fixes #6738.
@sgugger - PyTorch QA example was wrong IMO.
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<!-- This line specifies which issue to close after the pull request is merged. -->
Fixes #{issue number}
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Fixes #{issue number}
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6886?src=pr&el=h1) Report\n> Merging [#6886](https://codecov.io/gh/huggingface/transformers/pull/6886?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/311992630cfd6c776bc2672d94dcd81624ad023b?el=desc) will **increase... | 1,598 | 1,598 | 1,598 | CONTRIBUTOR | null | <!-- This line specifies which issue to close after the pull request is merged. -->
model card for akhooli/xlm-r-large-arabic-sent
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"@sshleifer want to update the inference API so that the correct pipeline shows up at https://huggingface.co/akhooli/mbart-large-cc25-en-ar ? (cc @mfuntowicz)",
"Seems fixed?\r\nhttps://huggingface.co/akhooli/mbart-large-cc25-en-ar\r\n![image](https://user-images.githubusercontent.com/6045025/92133236-22273300-ed... | 1,598 | 1,599 | 1,598 | CONTRIBUTOR | null | <!-- This line specifies which issue to close after the pull request is merged. -->
Model card for akhooli/mbart-large-cc25-en-ar | {
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~Fixes 6882~ (might only be partly)
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"I understand it makes the code slightly cleaner; in terms of speed it is most likely negligible (compared to the embedding lookup, for example).\r\n\r\nBut not sure what to do now as all the pretrained models (that used a lot of compute to pretrain) don't work anymore in the new update.",
"Hey @Laksh1997 - note ... | 1,598 | 1,626 | 1,608 | NONE | null | Hi,
Thanks for the great library. I noticed this line being added (https://github.com/huggingface/transformers/blob/v3.1.0/src/transformers/modeling_bert.py#L190) in the latest update.
It breaks checkpoints that were saved when this line wasn't there.
```
Missing key(s) in state_dict: "generator_model.elect... | {
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"It was just the naming of \"layer_norm\" instead of \"LayerNorm\" I changed the script and now it works.",
"@blueberry-cake which script was that naming in? ",
"@blueberry-cake could you tell me the details of how you solve this problem? I have this problem, too，I do not understand the word \"It was just the n... | 1,598 | 1,665 | 1,599 | NONE | null | When trying to convert the checkpoint of a self pre-trained tensorflow BERT model (using the **[create-pretraining.py][1]** script from google) into a pytorch model using **convert_bert_original_tf_checkpoint_to_pytorch.py**
I always end up with the following error:
**AttributeError: 'BertEmbeddings' object has no ... | {
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https://api.github.com/repos/huggingface/transformers/issues/6880 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6880/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6880/comments | https://api.github.com/repos/huggingface/transformers/issues/6880/events | https://github.com/huggingface/transformers/pull/6880 | 690,247,906 | MDExOlB1bGxSZXF1ZXN0NDc3MTY4NzU3 | 6,880 | Fix TF Trainer for TPU | {
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"I have added a model_init function in the PyTorch Trainer to support hp-search. Is it possible to use this instead of changing the `args`? This would make a very big difference between the PT Trainer and TF Trainer.",
"OK, I will check this. Thanks.",
"This issue has been automatically marked as stale because ... | 1,598 | 1,604 | 1,604 | CONTRIBUTOR | null | This PR try to fix the trainer for TensorFlow by updating the order of some steps:
1. Dataset preprocessing
2. Strategy creation
3. Model creation
Instead of
1. Strategy creation
2. Model creation
3. Dataset preprocessing
Fixes #6672
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"Thanks for the quick reviews @LysandreJik and @sgugger! And yep updating black version did it (I think) thanks."
] | 1,598 | 1,598 | 1,598 | COLLABORATOR | null | This is in case the dataset is in a RO filesystem, for which is the case
in tests (GKE TPU tests).
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6878?src=pr&el=h1) Report\n> Merging [#6878](https://codecov.io/gh/huggingface/transformers/pull/6878?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/3726754a6c646adcf9cb2135ab7f72dffe074473?el=desc) will **decrease... | 1,598 | 1,598 | 1,598 | MEMBER | null | This PR adds `XLM-Roberta` to the EncoderDecoder framework by adding a new `XLMRobertaForCausalLM` to the models.
The XLM-Roberta EncoderDecoder can be used as follows:
```python
from transformers import EncoderDecoderModel
import torch
model = EncoderDecoderModel.from_encoder_decoder_pretrained("xlm-robert... | {
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https://api.github.com/repos/huggingface/transformers/issues/6877 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6877/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6877/comments | https://api.github.com/repos/huggingface/transformers/issues/6877/events | https://github.com/huggingface/transformers/pull/6877 | 690,061,258 | MDExOlB1bGxSZXF1ZXN0NDc3MDEzMTg3 | 6,877 | [WIP, TF] replace keras dense by keras.layers.DenseEinsum | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6877?src=pr&el=h1) Report\n> Merging [#6877](https://codecov.io/gh/huggingface/transformers/pull/6877?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/a32d85f0d405be53117b96075eef2875d2185892?el=desc) will **increase... | 1,598 | 1,603 | 1,603 | MEMBER | null | Fixes #6771.
This PR might speed up TF runtime on GPU.
Note that the change requires TF 2.3.0 | {
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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 stale for 1 month."
] | 1,598 | 1,618 | 1,618 | MEMBER | null | See: https://discuss.huggingface.co/t/how-to-train-tft5forconditionalgeneration-model/888.
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https://api.github.com/repos/huggingface/transformers/issues/6875 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6875/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6875/comments | https://api.github.com/repos/huggingface/transformers/issues/6875/events | https://github.com/huggingface/transformers/pull/6875 | 689,987,075 | MDExOlB1bGxSZXF1ZXN0NDc2OTUwOTM2 | 6,875 | Restore PaddingStrategy.MAX_LENGTH on QAPipeline while no v2. | {
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Need to shift towards pipeline v2 with priority on QA Pipeline to provide a workaround.
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>
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"What costs the most is the gradient computation, storing few predictions is ok general. I can run a sequence classification training with a batch of 32 of 128 sequence length and an acummulation of 3 with a 8GB GPU.\r\n\r\nDid you encounter during your experiments a memory issue? If yes, let me know and I will loo... | 1,598 | 1,605 | 1,605 | NONE | null | part-1:
self.total_train_batch_size = self.args.train_batch_size * self.args.gradient_accumulation_steps
ds = (
self.train_dataset.repeat()
.shuffle(self.num_train_examples, seed=self.args.seed)
.batch(self.total_train_batch_size, drop_remainder=self.args.dataloader_... | {
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"Indeed this seems very problematic. Let's look into it cc @sgugger ",
"Some hints - The main process takes 3.5x more RAM than the other processes individually.",
"Do you have a commit id that gives the first graph, so we can look into the diff?",
"I think I'm having a similar issue. I'm using `n1-highmem-16 ... | 1,598 | 1,635 | 1,608 | 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: 3.0.2 (master) ... | {
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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"
] | 1,598 | 1,604 | 1,604 | CONTRIBUTOR | null | Doing multitasking using transformers library such as this one https://github.com/JayYip/bert-multitask-learning. cws|NER|weibo_ner&weibo_cws, one problem will be sampled at each turn, say weibo_ner&weibo_cws, then weibo_ner and weibo_cws will trained for this turn together. | {
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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"
] | 1,598 | 1,604 | 1,604 | NONE | null | # ❓ Questions & Help
<!-- The GitHub issue tracker is primarly intended for bugs, feature requests,
new models and benchmarks, and migration questions. For all other questions,
we direct you to the Hugging Face forum: https://discuss.huggingface.co/ .
You can also try Stack Overflow (SO) where a wh... | {
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https://api.github.com/repos/huggingface/transformers/issues/6870 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6870/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6870/comments | https://api.github.com/repos/huggingface/transformers/issues/6870/events | https://github.com/huggingface/transformers/pull/6870 | 689,868,947 | MDExOlB1bGxSZXF1ZXN0NDc2ODU2MzYx | 6,870 | Updata tokenization_auto.py | {
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"Hi, we have this [test](https://github.com/huggingface/transformers/blob/master/tests/test_configuration_auto.py#L45) to prevent exactly this. In what situation did you face an issue?",
"@LysandreJik There is no problem for pretrained models of huggingface transformers, because the config class of them are inher... | 1,598 | 1,600 | 1,600 | CONTRIBUTOR | null | Updata tokenization_auto.py to handle Inherited config class.
If ConfigB is inherited from ConfigA, then isinstance(ConfigB(), ConfigA) is true. We hope to use TokenizerB, but TokenizerA will be used incorrectly.
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https://api.github.com/repos/huggingface/transformers/issues/6869 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6869/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6869/comments | https://api.github.com/repos/huggingface/transformers/issues/6869/events | https://github.com/huggingface/transformers/issues/6869 | 689,849,832 | MDU6SXNzdWU2ODk4NDk4MzI= | 6,869 | How does relative distance is computed for cross-attention in T5 model? | {
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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"
] | 1,598 | 1,604 | 1,604 | NONE | null | Let's assume we have a source sequence of length 7 and a target sequence of length 5. In cross-attention sublayer at each decoder layer, every token in the target sequence attends every token in the input sequence.
In T5 model, we compute the relative distance to compute bias using query-len and key-len as in https:... | {
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https://api.github.com/repos/huggingface/transformers/issues/6868 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6868/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6868/comments | https://api.github.com/repos/huggingface/transformers/issues/6868/events | https://github.com/huggingface/transformers/issues/6868 | 689,847,092 | MDU6SXNzdWU2ODk4NDcwOTI= | 6,868 | MarianMTModel.generate error: Segmentation fault (core dumped) | {
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"I run the same demo program on another server. The program can work properly. "
] | 1,598 | 1,598 | 1,598 | NONE | null | When I use MarianMTModel to generate sequences, that is running "translated = model.generate(**tokenizer.prepare_seq2seq_batch(src_text))", the python development environment will quit automatically. There is a message, i. e. Segmentation fault (core dumped).
When I run the program in Jupyter, it will also quit. Leav... | {
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https://api.github.com/repos/huggingface/transformers/issues/6867 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6867/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6867/comments | https://api.github.com/repos/huggingface/transformers/issues/6867/events | https://github.com/huggingface/transformers/pull/6867 | 689,845,312 | MDExOlB1bGxSZXF1ZXN0NDc2ODM3MDA2 | 6,867 | [doc] typos | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6867?src=pr&el=h1) Report\n> Merging [#6867](https://codecov.io/gh/huggingface/transformers/pull/6867?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/59a6a32a61a87f9a1cccb57c3b4df725384d34ae?el=desc) will **decrease... | 1,598 | 1,599 | 1,599 | CONTRIBUTOR | null | fixed typos
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https://api.github.com/repos/huggingface/transformers/issues/6866 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6866/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6866/comments | https://api.github.com/repos/huggingface/transformers/issues/6866/events | https://github.com/huggingface/transformers/pull/6866 | 689,827,967 | MDExOlB1bGxSZXF1ZXN0NDc2ODIzMjIz | 6,866 | test_tf_common: remove un_used mixin class parameters | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6866?src=pr&el=h1) Report\n> Merging [#6866](https://codecov.io/gh/huggingface/transformers/pull/6866?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/59a6a32a61a87f9a1cccb57c3b4df725384d34ae?el=desc) will **decrease... | 1,598 | 1,599 | 1,599 | CONTRIBUTOR | null |
Fixes #6590
@sshleifer Is that all for this issue? are there any other cleaning left which I did not understand ❗
Thanks | {
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https://api.github.com/repos/huggingface/transformers/issues/6865 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6865/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6865/comments | https://api.github.com/repos/huggingface/transformers/issues/6865/events | https://github.com/huggingface/transformers/issues/6865 | 689,809,469 | MDU6SXNzdWU2ODk4MDk0Njk= | 6,865 | Is it possible to finetune reformer model for summarization task? | {
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"There are no pre-trained reformer weights yet -> so that's a no sadly",
"Following this issue for updates.",
"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"
] | 1,598 | 1,607 | 1,607 | NONE | null | # ❓ Questions & Help
<!-- The GitHub issue tracker is primarly intended for bugs, feature requests,
new models and benchmarks, and migration questions. For all other questions,
we direct you to the Hugging Face forum: https://discuss.huggingface.co/ .
You can also try Stack Overflow (SO) where a wh... | {
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https://api.github.com/repos/huggingface/transformers/issues/6864 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6864/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6864/comments | https://api.github.com/repos/huggingface/transformers/issues/6864/events | https://github.com/huggingface/transformers/issues/6864 | 689,800,005 | MDU6SXNzdWU2ODk4MDAwMDU= | 6,864 | How to save the whole model as SavedModel format for inference? | {
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"The model architecture is simple:\r\n\r\n",
"Sorry for the late reply. This is because you did not respect the signature of `TFBertMainLayer` in order to properly use it you can do:\r\n\r\n```python\r\n... | 1,598 | 1,605 | 1,605 | NONE | null | # ❓ Questions & Help
<!-- The GitHub issue tracker is primarly intended for bugs, feature requests,
new models and benchmarks, and migration questions. For all other questions,
we direct you to the Hugging Face forum: https://discuss.huggingface.co/ .
You can also try Stack Overflow (SO) where a wh... | {
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https://api.github.com/repos/huggingface/transformers/issues/6863 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6863/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6863/comments | https://api.github.com/repos/huggingface/transformers/issues/6863/events | https://github.com/huggingface/transformers/issues/6863 | 689,781,984 | MDU6SXNzdWU2ODk3ODE5ODQ= | 6,863 | special token inconsistency for [UNK] token | {
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"I think that's reasonable, the point of `skip_special_tokens` isn't to skip unknown tokens. cf @mfuntowicz @thomwolf @n1t0 ",
"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"
] | 1,598 | 1,604 | 1,604 | CONTRIBUTOR | null | ## Environment info
- `transformers` version: 3.0.2
- Platform: Linux-4.15.0-108-generic-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.6.9
### Who can help
tokenizers: @mfuntowicz
## Information
Bert tokenizer treats [UNK] token as **special** during `tokenizer.convert_ids_to_tokens(...,skip_... | {
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https://api.github.com/repos/huggingface/transformers/issues/6862 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6862/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6862/comments | https://api.github.com/repos/huggingface/transformers/issues/6862/events | https://github.com/huggingface/transformers/pull/6862 | 689,774,780 | MDExOlB1bGxSZXF1ZXN0NDc2NzgxNTgy | 6,862 | cleanup: fix typo chunk_size_feed_forward in configuration_utils.py | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6862?src=pr&el=h1) Report\n> Merging [#6862](https://codecov.io/gh/huggingface/transformers/pull/6862?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/367235ee52537ff7cada5e1c5c41cdd78731f092?el=desc) will **increase... | 1,598 | 1,598 | 1,598 | CONTRIBUTOR | null | Problem:
```python
self.chunk_size_feed_forward = kwargs.pop("chunk_size_feed_forward", 0) # line 178
self.chunk_size_feed_forward = kwargs.pop("chunk_size_feed_forwar", 0)# line 198
```
in https://github.com/huggingface/transformers/blob/master/src/transformers/configuration_utils.py#L178
Solution:
delete... | {
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https://api.github.com/repos/huggingface/transformers/issues/6861 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6861/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6861/comments | https://api.github.com/repos/huggingface/transformers/issues/6861/events | https://github.com/huggingface/transformers/pull/6861 | 689,747,379 | MDExOlB1bGxSZXF1ZXN0NDc2NzYwMDgw | 6,861 | add a final report to all pytest jobs | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6861?src=pr&el=h1) Report\n> Merging [#6861](https://codecov.io/gh/huggingface/transformers/pull/6861?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/431ab19d7a467905018b165bc29b2a1130c1b188?el=desc) will **increase... | 1,598 | 1,598 | 1,598 | CONTRIBUTOR | null | we had it added for one job (run_examples_torch), please add it to all pytest jobs - we need the output of what tests were run to debug the codecov issue. thank you!
To remind `pytest -rA` finalizes the test run with a report like this:
```
PASSED examples/seq2seq/test_seq2seq_examples.py::test_seq2seq_dataset_tr... | {
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https://api.github.com/repos/huggingface/transformers/issues/6860 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6860/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6860/comments | https://api.github.com/repos/huggingface/transformers/issues/6860/events | https://github.com/huggingface/transformers/issues/6860 | 689,662,070 | MDU6SXNzdWU2ODk2NjIwNzA= | 6,860 | Support nested data structures for input data | {
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"Note that there are multiple frameworks that provide generic training loops. The goal of `Trainer` (I'm assuming you're talking about it since there is no `train.py` file) is not to replace them or compete with them but to provide an easy way to train and finetune Transformers models. Those models don't take neste... | 1,598 | 1,604 | 1,604 | NONE | null | # 🚀 Feature request
Support in `train.py` for more complicated/nested data inputs rather than the current assumed single-layer dictionary structure.
## Motivation
In many applications -- for example, mine, where I wish to implement a semi-supervised learning protocol -- the training input might need to be dif... | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6859?src=pr&el=h1) Report\n> Merging [#6859](https://codecov.io/gh/huggingface/transformers/pull/6859?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/bbdba0a76d70ff347884cbe62e0f13de903d84c7?el=desc) will **increase... | 1,598 | 1,598 | 1,598 | CONTRIBUTOR | null | cc @sgugger will merge on ci passing. | {
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"Indeed! Do you want to open a PR to fix this?",
"@LysandreJik \r\n\r\nI can do that. However @patrickvonplaten has already self-assigned for this. How do you think, @patrickvonplaten?",
"Hey @chiapas, it would be great if you can open a PR for it :-) ",
"Hi @patrickvonplaten , OK, that would be my first con... | 1,598 | 1,599 | 1,599 | COLLABORATOR | null | In this commit [Remove hard-coded uses of float32 to fix mixed precision use](https://github.com/huggingface/transformers/commit/4fca874ea995f3d23ad7062b07b5ed7c4f87c0cd#diff-e3ab4f29f29fe1d243a6b55fafaab097), the mixed precision issue is fixed for [modeling_tf_bert.py](https://github.com/huggingface/transformers/blob/... | {
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"Cool!"
] | 1,598 | 1,598 | 1,598 | COLLABORATOR | null | Follow-up from #6747.
Cleanly separates the two backend-specific code (optuna vs Ray) with some small code duplication in the objective function.
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"Hey @andifunke, \r\n\r\nThanks a lot for your issue! Could you link the different implementation of `torch.multinomial` between PT v1.5.1 and PT v1.6.0 ? \r\nI understand your argument, but I think setting `replacement=True` is logically false...",
"Hi @patrickvonplaten ,\r\n\r\nthanks for your reply!\r\n\r\n> C... | 1,598 | 1,605 | 1,605 | NONE | null | ## Environment info
- `transformers` version: 3.0.2
- Platform: Linux-5.4.0-42-generic-x86_64-with-debian-bullseye-sid
- Python version: 3.6.10
- PyTorch version (GPU?): 1.6.0 (True)
- Tensorflow version (GPU?): not installed (NA)
- Using GPU in script?: True
- Using distributed or parallel set-up in scri... | {
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"Try smaller batch sizes and/or bigger GPUs",
"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"
] | 1,598 | 1,604 | 1,604 | NONE | null | How do I run the run_language_modeling.py script from hugging face using the pretrained roberta case model to fine-tune using my own data on the Azure databricks with a GPU cluster.
Using Transformer version 2.9.1 and 3.0 .
Python 3.6
Torch `1.5.0
torchvision 0.6
This is the script I ran below on Azure datab... | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6852?src=pr&el=h1) Report\n> Merging [#6852](https://codecov.io/gh/huggingface/transformers/pull/6852?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/02d09c8fcc6bda2c345c84cec53289abbe7532ac?el=desc) will **increase... | 1,598 | 1,598 | 1,598 | COLLABORATOR | null | Adds documentation for the new centralized logger.
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Fixes #{issue number}
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Alternative to #6791
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"Hi, you have an example of how to do exactly this in the [documentation](https://huggingface.co/transformers/task_summary.html#sequence-classification):\r\n\r\n```py\r\nfrom transformers import AutoTokenizer, AutoModelForSequenceClassification\r\nimport torch\r\n\r\ntokenizer = AutoTokenizer.from_pretrained(\"bert... | 1,598 | 1,599 | 1,599 | NONE | null | Hi,
I apologize if that's a stupid question. How can I print probabilities during inference produced by the softmax layer with BertForSequenceClassification? | {
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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"
] | 1,598 | 1,604 | 1,604 | NONE | null | ## Environment info
- `transformers` version: 3.0.2
- Platform: Windows-10-10.0.18362-SP0
- Python version: 3.8.3
- PyTorch version (GPU?): 1.6.0 (True)
- Tensorflow version (GPU?): not installed (NA)
- Using GPU in script?: <no
- Using distributed or parallel set-up in script?: no
### Who can help
tokenize... | {
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"Thanks a lot for doing this! It's a great way for us to realize the needed changes to get fully torch-scriptable models. Aside from the tests (we can help fix them once the design is approved), I'd love to see what parts we can reuse from bert (with potential non-harmful modifications) and what parts need to be re... | 1,598 | 1,614 | 1,614 | NONE | null | <!-- This line specifies which issue to close after the pull request is merged. -->
Fixes #5067
Separate (re-)implementation of BERT such that it can be used with TorchScript's script() method (not just trace). This allows for better/more reliable handling of internal model logic and removes the requirement for fi... | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6845?src=pr&el=h1) Report\n> Merging [#6845](https://codecov.io/gh/huggingface/transformers/pull/6845?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/2de7ee0385bee4134ca894a208fa3a2aaf7d5371?el=desc) will **decrease... | 1,598 | 1,598 | 1,598 | COLLABORATOR | null | {
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"If anyone wants to help, evaluate on a dataset where the third column is not filled it.\r\nSteps:\r\nFirst, download the data from nlp package, save to disk in format described in https://github.com/huggingface/transformers/blob/master/examples/seq2seq/download_wmt.py\r\n\r\nHelper function for run_eval\r\n```bash... | 1,598 | 1,651 | 1,602 | CONTRIBUTOR | null | ### Replication
[link](https://github.com/google-research/pegasus)
mixed & stochastic column of this [table](https://github.com/google-research/pegasus#results-update)
| dataset | Authors| This Repo| best bart | best bart name
| ---- | ----|----|----|----|
| xsum | 47.60/24.83/39.64| 46.87/24.46/39.15|22.32/3... | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6843?src=pr&el=h1) Report\n> Merging [#6843](https://codecov.io/gh/huggingface/transformers/pull/6843?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/2de7ee0385bee4134ca894a208fa3a2aaf7d5371?el=desc) will **decrease... | 1,598 | 1,604 | 1,604 | CONTRIBUTOR | null | - IWSLT 2017 (should be added to `nlp` via
https://github.com/huggingface/nlp/pull/470#issue-462074344. (Currently
coded file here)
- NL-EN, should hopefully work for any language pair (Could be checked).
- Training loop in lightning, poor training logging, notably no
translation example which are probably importa... | {
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# 🚀 Feature request
Allow the `convert_bart` script to load custom BART pre-trained models from fairseq.
## Motivation
The curr... | {
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Fixes #6084
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albert-base-turkish-uncased
bert-base-turkish-uncased
electra-base-turkish-uncased
electra-base-turkish-64k-uncased-discriminator
electra-small-turkish-cased-discriminator
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https://api.github.com/repos/huggingface/transformers/issues/6839 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6839/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6839/comments | https://api.github.com/repos/huggingface/transformers/issues/6839/events | https://github.com/huggingface/transformers/issues/6839 | 688,954,217 | MDU6SXNzdWU2ODg5NTQyMTc= | 6,839 | pegasus-large: Can we have input text descriptions more than the maximum input length of 512? | {
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"Yes ! https://discuss.huggingface.co/t/pegasus-questions/838/8?u=valhalla",
"Thanks "
] | 1,598 | 1,598 | 1,598 | CONTRIBUTOR | null | As mentioned pegasus paper, authors used sinusoidal positional encoding to make sure the model can work with inputs longer than default 512?
So with huggingface implementation can we use inputs with longer lengths? | {
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https://api.github.com/repos/huggingface/transformers/issues/6838 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6838/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6838/comments | https://api.github.com/repos/huggingface/transformers/issues/6838/events | https://github.com/huggingface/transformers/pull/6838 | 688,868,836 | MDExOlB1bGxSZXF1ZXN0NDc2MDIxMzQ4 | 6,838 | fix typo in comments (modeling_bert) | {
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https://api.github.com/repos/huggingface/transformers/issues/6837 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6837/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6837/comments | https://api.github.com/repos/huggingface/transformers/issues/6837/events | https://github.com/huggingface/transformers/issues/6837 | 688,840,242 | MDU6SXNzdWU2ODg4NDAyNDI= | 6,837 | tokenization_gpt2 save vocabulary is not saving special tokens | {
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"Hi! The `save_vocabulary` method, as its name implies and as is explained in its [docstring](https://huggingface.co/transformers/main_classes/tokenizer.html#transformers.PreTrainedTokenizer.save_vocabulary), only saves the vocabulary. If you want to save the entire tokenizer (with special tokens), you should use t... | 1,598 | 1,598 | 1,598 | 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: 2.8.0
- Platform: linux
- Python version: 3.6.10
- PyTorch version (GPU?): GPU
- Tensorflow version (... | {
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https://api.github.com/repos/huggingface/transformers/issues/6836 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6836/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6836/comments | https://api.github.com/repos/huggingface/transformers/issues/6836/events | https://github.com/huggingface/transformers/issues/6836 | 688,832,341 | MDU6SXNzdWU2ODg4MzIzNDE= | 6,836 | RAM MemoryError | {
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"Do you solve the problem?......",
"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"
] | 1,598 | 1,608 | 1,608 | NONE | null | # ❓ Questions & Help
I was wondering is the RAM MemoryError issue solved?
I encountered this issue because my 128 GB RAM memory could not load all 48 GB data.
There are some discussions before, such as #6636, #3388, #1290, #4009
However, I don't see there is lazyDataLoader right now.
Could you provide any hints... | {
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https://api.github.com/repos/huggingface/transformers/issues/6835 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6835/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6835/comments | https://api.github.com/repos/huggingface/transformers/issues/6835/events | https://github.com/huggingface/transformers/issues/6835 | 688,809,082 | MDU6SXNzdWU2ODg4MDkwODI= | 6,835 | DistributedSortishSampler | {
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`--sortish_sampler --gpus 2` will raise an assertion error, but if you remove the assert, it will raise another error. Ideally we should make a Seq2SeqDataset.get_distributed_sortish_sampler method and use it in the relevant case.
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https://api.github.com/repos/huggingface/transformers/issues/6834 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6834/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6834/comments | https://api.github.com/repos/huggingface/transformers/issues/6834/events | https://github.com/huggingface/transformers/pull/6834 | 688,792,953 | MDExOlB1bGxSZXF1ZXN0NDc1OTY0NTQ4 | 6,834 | [s2s] distill: --normalize_hidden --supervise_forward | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6834?src=pr&el=h1) Report\n> Merging [#6834](https://codecov.io/gh/huggingface/transformers/pull/6834?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/c5d43a872f0e85ce069e921c5bda02374e5b9cbf?el=desc) will **decrease... | 1,598 | 1,599 | 1,599 | CONTRIBUTOR | null | This appears to help pegasus and marian distillation.
running bart-large-xsum-12-3 baseline.
- No impact on bart-large-xsum distillation.
- +1 BLEU for Marian
- +20 ROUGE for pegasus (impossible to do anything without.)
- verified that the `torch.stack` math is identical to the old for loop math. | {
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https://api.github.com/repos/huggingface/transformers/issues/6833 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6833/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6833/comments | https://api.github.com/repos/huggingface/transformers/issues/6833/events | https://github.com/huggingface/transformers/pull/6833 | 688,791,906 | MDExOlB1bGxSZXF1ZXN0NDc1OTYzNzc2 | 6,833 | [s2s] command line args for faster val steps | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6833?src=pr&el=h1) Report\n> Merging [#6833](https://codecov.io/gh/huggingface/transformers/pull/6833?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/dfa10a41ba3fd9c5289bebd3baeff8792b1b2281?el=desc) will **decrease... | 1,598 | 1,598 | 1,598 | CONTRIBUTOR | null | cc @patil-suraj | {
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"Humm for me it looks like it is an issue with the dataset creation, but I might be wrong as I don't have the code that creates the features.\r\n\r\nCan you try without the `steps_per_epoch` parameter?",
"isn't steps_per_epoch equal to `num_examples/batch_size` ? futhermore your labels first dimention (batch) an... | 1,598 | 1,604 | 1,604 | CONTRIBUTOR | null | ## Environment info
- `transformers` version: 3.0.2
- Platform: Linux-4.19.112+-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.6.9
- PyTorch version (GPU?): 1.6.0+cu101 (False)
- Tensorflow version (GPU?): 2.3.0 (False)
- Using GPU in script?: No
- Using distributed or parallel set-up in script?: Yes
##... | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6831?src=pr&el=h1) Report\n> Merging [#6831](https://codecov.io/gh/huggingface/transformers/pull/6831?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/32fe44086c2191c4551b7ff00db7ae1cace9b02e?el=desc) will **increase... | 1,598 | 1,598 | 1,598 | MEMBER | null | Added section regarding quantization with performance comparison against PyTorch on CPU.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>
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https://api.github.com/repos/huggingface/transformers/issues/6830 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6830/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6830/comments | https://api.github.com/repos/huggingface/transformers/issues/6830/events | https://github.com/huggingface/transformers/issues/6830 | 688,782,238 | MDU6SXNzdWU2ODg3ODIyMzg= | 6,830 | Related to abstractive text summarization | {
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"If you are looking for summerization in non-English languages you can try using `MBartForConditionalGeneration`, or multilingual Bert using the `EncoderDecoder` framework. Not sure if xlm-r is yet supported in `EncoderDecoder`",
"Looking at xlm-r source code it seems that it can be easily added in EncoderDecoder... | 1,598 | 1,604 | 1,604 | NONE | null | I was wondering if we could use XLM or XLM-R for abstractive text summarization. | {
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"@abedkhooli Could I have the command you ran + environment details so that I can try to replicate this?\r\nThanks!\r\n",
"Thanks @sshleifer for looking into this. \r\nTPU type: TPU v2 which is 8 cores, 64 GB (using Google Colab)\r\n```\r\n%%bash\r\nexport ENRO_DIR='/content/wmt_en_ro' # Download instructions ab... | 1,598 | 1,602 | 1,602 | CONTRIBUTOR | null | I followed the TPU example in the [examples folder](9https://github.com/huggingface/transformers/tree/master/examples) and found xla_spawn.py calls
`xmp.spawn(mod._mp_fn, args=(), nprocs=args.num_cores)`
and [fine-tune.py](https://github.com/huggingface/transformers/blob/master/examples/seq2seq/finetune.py) does n... | {
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https://api.github.com/repos/huggingface/transformers/issues/6828 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6828/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6828/comments | https://api.github.com/repos/huggingface/transformers/issues/6828/events | https://github.com/huggingface/transformers/issues/6828 | 688,721,619 | MDU6SXNzdWU2ODg3MjE2MTk= | 6,828 | regarding the max token length of longformer | {
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"Hi, @rkoystart \r\nI think this notebook will [help](https://github.com/allenai/longformer/blob/master/scripts/convert_model_to_long.ipynb)",
"@patil-suraj so it means by default the longformers model provided by huggingface supports maximum tokens of 4096 right ?\r\nif suppose we want to pretrained model to s... | 1,598 | 1,605 | 1,605 | NONE | null | In the encode_plus function of the Tokenizer , there is a argument called max_length whose default value is 4096.
So is it possible to increase the max token length beyond 4096 or the maximum value of max_length argument is 4096
Can anyone clear my doubt
Thanks in advance !!!! | {
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https://api.github.com/repos/huggingface/transformers/issues/6827 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6827/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6827/comments | https://api.github.com/repos/huggingface/transformers/issues/6827/events | https://github.com/huggingface/transformers/pull/6827 | 688,679,819 | MDExOlB1bGxSZXF1ZXN0NDc1ODgyNTU0 | 6,827 | Add model card for singbert lite. | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6827?src=pr&el=h1) Report\n> Merging [#6827](https://codecov.io/gh/huggingface/transformers/pull/6827?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/22933e661fe789874ef58b13d3a9bb2554ba5891?el=desc) will **decrease... | 1,598 | 1,598 | 1,598 | CONTRIBUTOR | null | Add model card for singbert lite and update widget for singbert and singbert large.
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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"
] | 1,598 | 1,604 | 1,604 | NONE | null | # ❓ Questions & Help
<!-- The GitHub issue tracker is primarly intended for bugs, feature requests,
new models and benchmarks, and migration questions. For all other questions,
we direct you to the Hugging Face forum: https://discuss.huggingface.co/ .
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/6825?src=pr&el=h1) Report\n> Merging [#6825](https://codecov.io/gh/huggingface/transformers/pull/6825?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/22933e661fe789874ef58b13d3a9bb2554ba5891?el=desc) will **increase... | 1,598 | 1,598 | 1,598 | CONTRIBUTOR | null | Changed non existant link - https://colab.research.google.com/github/huggingface/transformers/blob/master/notebooks/03-pipelines.ipynb
to - https://colab.research.google.com/github/huggingface/transformers/blob/master/notebooks/03-pipelines.ipynb | {
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https://api.github.com/repos/huggingface/transformers/issues/6824 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6824/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6824/comments | https://api.github.com/repos/huggingface/transformers/issues/6824/events | https://github.com/huggingface/transformers/issues/6824 | 688,654,030 | MDU6SXNzdWU2ODg2NTQwMzA= | 6,824 | How to convert '.bin' model to '.onnx' | {
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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"
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https://api.github.com/repos/huggingface/transformers/issues/6823 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6823/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6823/comments | https://api.github.com/repos/huggingface/transformers/issues/6823/events | https://github.com/huggingface/transformers/issues/6823 | 688,635,353 | MDU6SXNzdWU2ODg2MzUzNTM= | 6,823 | How to use encode_plus to force padding to specific length | {
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"I worked out that if you set padding=False then the text is padded out correctly with input_ids and attention_mask values of 0. This is the opposite setting of what I thought padding to mean but it works.\r\n\r\n'''\r\n\r\n >>input_ids: torch.Size([1, 50]), attention_mask: torch.Size([1, 50]) #pre flatten\r\n\... | 1,598 | 1,598 | 1,598 | NONE | null | I am using the following code in the __getitem__() method of my dataset:
`
class MyDataset(Dataset):
def __init__(self, myargs):
#other code here
self.tokenizer = BertTokenizer.from_pretrained('bert-base-cased)
self.max_len =50
`
__getitem__ method:
... | {
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https://api.github.com/repos/huggingface/transformers/issues/6822 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/6822/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/6822/comments | https://api.github.com/repos/huggingface/transformers/issues/6822/events | https://github.com/huggingface/transformers/pull/6822 | 688,611,179 | MDExOlB1bGxSZXF1ZXN0NDc1ODMzMzk2 | 6,822 | [s2s README] link to cnn dataset with empty lines removed | {
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Fixes #{issue number}
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