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https://api.github.com/repos/huggingface/transformers/issues/9329 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9329/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9329/comments | https://api.github.com/repos/huggingface/transformers/issues/9329/events | https://github.com/huggingface/transformers/issues/9329 | 775,307,952 | MDU6SXNzdWU3NzUzMDc5NTI= | 9,329 | how to checkpoint all the validation scores in huggingface trainer | {
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"Interested in this as well. Do not find a solution from blog [\"How to monitor both train and validation metrics at the same step?\"](https://discuss.huggingface.co/t/how-to-monitor-both-train-and-validation-metrics-at-the-same-step/1301).",
"> Hi\r\n> I want to find the best model per evaluation score. Could yo... | 1,609 | 1,619 | 1,619 | NONE | null | Hi
I want to find the best model per evaluation score. Could you please give me more info, how I can checkpoint all evaluation scores in each step of training to find the best model? thanks | {
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https://api.github.com/repos/huggingface/transformers/issues/9328 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9328/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9328/comments | https://api.github.com/repos/huggingface/transformers/issues/9328/events | https://github.com/huggingface/transformers/issues/9328 | 775,288,750 | MDU6SXNzdWU3NzUyODg3NTA= | 9,328 | expected str, bytes or os.PathLike object, not NoneType | {
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"Hey @hjzhang1018,\r\n\r\nThanks for your bug report. Could you try to run your command again - I think it should be fixed now: https://huggingface.co/seyonec/SMILES_tokenized_PubChem_shard00_160k/commit/7ef67531cfe96d0e2aa3ae913352c8e9a8c1df4f",
"@seyonechithrananda I added some files to your repo here: https://... | 1,609 | 1,619 | 1,619 | NONE | null | ## Environment info
- `transformers` version: 4.1.1
- Platform: Darwin-18.6.0-x86_64-i386-64bit
- Python version: 3.7.7
- PyTorch version (GPU?): not installed (NA)
- Tensorflow version (GPU?): not installed (NA)
- Using GPU in script?: <fill in>
- Using distributed or parallel set-up in script?: <fill in>
... | {
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https://api.github.com/repos/huggingface/transformers/issues/9327 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9327/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9327/comments | https://api.github.com/repos/huggingface/transformers/issues/9327/events | https://github.com/huggingface/transformers/issues/9327 | 775,249,141 | MDU6SXNzdWU3NzUyNDkxNDE= | 9,327 | No module named 'transformers.modeling_albert' | {
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"Hey @hjzhang1018,\r\n\r\nThis does not seem to be a bug in Transformers, but rather in `seyonechithrananda/simpletransformers.git` so I'm not sure here is the correct place to post the issue. I think one has to change the line `from transformers.modeling_albert import ....` to `from transformers.models.albert.mode... | 1,609 | 1,609 | 1,609 | NONE | null | - Platform: Colab
- Python version:
- PyTorch version (GPU?):GPU
- Tensorflow version (GPU?):GPU
- Using GPU in script?:Yes
examples/token-classification: @stefan-it
-->
The problem arises when using:
* [ ] the official example scripts: I'm following the tutorial "23_Transfer_Learning_With_ChemBERTa_Tran... | {
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https://api.github.com/repos/huggingface/transformers/issues/9326 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9326/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9326/comments | https://api.github.com/repos/huggingface/transformers/issues/9326/events | https://github.com/huggingface/transformers/issues/9326 | 775,236,458 | MDU6SXNzdWU3NzUyMzY0NTg= | 9,326 | Issue with 'char_to_token()' function of DistilBertTokenizerFast | {
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"Hey @PremalMatalia, \r\n\r\nCould you please provide a copy/paste ready code-snippet that can be used to reproduce the error. By copy/past ready code snippet I mean something like:\r\n\r\n```python\r\nfrom transformers import DistilBertTokenizerFast\r\ntokenizer = DistilBertTokenizerFast.from_pretrained('distilber... | 1,609 | 1,619 | 1,609 | 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: 4.0.1
- Platform: Google Colab
- Python version: 3.8
- PyTorch version (GPU?):
- Tensorflow version (G... | {
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https://api.github.com/repos/huggingface/transformers/issues/9325 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9325/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9325/comments | https://api.github.com/repos/huggingface/transformers/issues/9325/events | https://github.com/huggingface/transformers/pull/9325 | 775,219,521 | MDExOlB1bGxSZXF1ZXN0NTQ1OTQzNzUz | 9,325 | Add FAVOR+ / Performer attention | {
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"@norabelrose Great job! Thanks for letting me know about this :)",
"@norabelrose - you've done an amazing job here! Having Performer in PyTorch is a huge contribution.\r\n\r\nI completely understand that you've already invested a lot of time in making this PR and we're happy to complete your PR!",
"also pingin... | 1,609 | 1,621 | 1,617 | CONTRIBUTOR | null | ## What does this PR do?
Adds support for the Performer / FAVOR+ attention mechanism, as described in the paper "Rethinking Attention with Performers" by Choromanski et al., 2020. Fixes #7675.
## How is it implemented?
Since Performer attention can be an unbiased estimator of traditional softmax attention, and... | {
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https://api.github.com/repos/huggingface/transformers/issues/9324 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9324/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9324/comments | https://api.github.com/repos/huggingface/transformers/issues/9324/events | https://github.com/huggingface/transformers/issues/9324 | 775,186,171 | MDU6SXNzdWU3NzUxODYxNzE= | 9,324 | Music Transformers | {
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"Hey @asigalov61,\r\n\r\nI think applying `Transformers` to Music is a super cool idea! Regarding the best model to use for music composition, IMO it depends strongly on:\r\n\r\n- What is the input to the model? Do you input tokens or float vectors?\r\n- How long is the input? *e.g.* how many float vectors or token... | 1,609 | 1,620 | 1,620 | NONE | null | # 🚀 Feature request
Hello guys! Thanks for your amazing work on the transformers! This is very needed and appreciated :)
I wanted to ask if it is possible to add a section/transformers dedicated specifically to Music. I searched GitHub and your model's repo but I could not find even a single model/solution that ... | {
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https://api.github.com/repos/huggingface/transformers/issues/9323 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9323/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9323/comments | https://api.github.com/repos/huggingface/transformers/issues/9323/events | https://github.com/huggingface/transformers/pull/9323 | 775,163,463 | MDExOlB1bGxSZXF1ZXN0NTQ1ODk4MTUx | 9,323 | [T5 model parallel] implement input auto-relocation + lots of refactoring/cleanup | {
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"I don't have an in-depth knowledge of our model parallelism features, so it would be great if @LysandreJik can take a look here as well. \r\n\r\nI think in general, I'm in favor of this PR. However, I'm not sure if a function decorator is better than just having two lines of \r\n```\r\nif self.is_parallel: \r\n ... | 1,609 | 1,622 | 1,622 | CONTRIBUTOR | null | As I commented on in another incarnation of generalizing t5 model parallelism https://github.com/huggingface/transformers/pull/9316 so that it could be easily ported to other models I realized that it's quite unnecessary to try and remap inputs to specific devices where they will be needed in the future ahead of time. ... | {
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https://api.github.com/repos/huggingface/transformers/issues/9322 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9322/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9322/comments | https://api.github.com/repos/huggingface/transformers/issues/9322/events | https://github.com/huggingface/transformers/issues/9322 | 775,131,246 | MDU6SXNzdWU3NzUxMzEyNDY= | 9,322 | Conda dependencies conflict with pip dependencies | {
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"Hey @ZOUG,\r\n\r\nThanks for the issue. @LysandreJik is on holiday at the moment, but I'm sure he's more than happy to take a look when he's back :-) ",
"Hello! We have started officially maintaining the anaconda packages in version v4.0.0. Installing a version anterior to that one would result in you using the ... | 1,609 | 1,647 | 1,619 | 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, 3.3.1
- Platform: Windows 10, Anaconda
- Python version: 3.8
## Information
I'm installing ... | {
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https://api.github.com/repos/huggingface/transformers/issues/9321 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9321/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9321/comments | https://api.github.com/repos/huggingface/transformers/issues/9321/events | https://github.com/huggingface/transformers/issues/9321 | 775,128,259 | MDU6SXNzdWU3NzUxMjgyNTk= | 9,321 | Splitting texts longer that `tokenizer.max_length` into blocks of same size | {
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"I think this notebook could help you: https://github.com/huggingface/notebooks/blob/master/examples/language_modeling.ipynb you should check out the `def tokenizer(...)`, `def group_texts(...)` functions. I think they should help at what you want to achieve. ",
"Thank you for the fast response @patrickvonplaten.... | 1,609 | 1,609 | 1,609 | NONE | null | ## Environment info
`transformers-cli env` raises an ModuleNotFoundError, though I don't think it is relevant for my problem.
- `transformers` version: 4.0.0
- Platform: Arch Linux x86_64
- Python version: 3.9.1
- CPU only
### Who can help
It's a probably trivial tokenizer problem: @mfuntowicz
using a pretr... | {
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https://api.github.com/repos/huggingface/transformers/issues/9320 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9320/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9320/comments | https://api.github.com/repos/huggingface/transformers/issues/9320/events | https://github.com/huggingface/transformers/pull/9320 | 775,105,631 | MDExOlB1bGxSZXF1ZXN0NTQ1ODU1NjEy | 9,320 | [Seq2SeqTrainer] Fix Typo | {
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<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
Then, please replace this w... | {
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https://api.github.com/repos/huggingface/transformers/issues/9319 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9319/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9319/comments | https://api.github.com/repos/huggingface/transformers/issues/9319/events | https://github.com/huggingface/transformers/issues/9319 | 775,070,189 | MDU6SXNzdWU3NzUwNzAxODk= | 9,319 | Some weights of AlbertForPreTraining were not initialized from the model checkpoint at albert-base-v2 and are newly initialized: ['sop_classifier.classifier.weight', 'sop_classifier.classifier.bias'] | {
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"I'm not sure we have a completely fine-tuned SOP classification model. My best advice is to try out different models and see which model not randomly allocates the weights for those layers."
] | 1,609 | 1,610 | 1,610 | NONE | null | Albert leverage sentence coherence predict loss(SOP) to optimizer its parameters, and I wanna employ it to score the coherence between two sentences. But when I use AlbertForPreTraining to load albert-xxlarge-v2 checkpoint, it reminds me that:
_Some weights of AlbertForPreTraining were not initialized from the model c... | {
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https://api.github.com/repos/huggingface/transformers/issues/9318 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9318/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9318/comments | https://api.github.com/repos/huggingface/transformers/issues/9318/events | https://github.com/huggingface/transformers/issues/9318 | 775,052,846 | MDU6SXNzdWU3NzUwNTI4NDY= | 9,318 | Fail when running the multimodal example | {
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"That example is unfortunately unmaintained. Have you tried playing around with LXMERT, which is also a multi-modal model? There is a demo available [here](https://github.com/huggingface/transformers/tree/master/examples/research_projects/lxmert).",
"Oh, I didn't know there is one with LXMERT. I will try that. Th... | 1,609 | 1,620 | 1,609 | NONE | null | Hi,
I tried to run the [multimodal example](https://github.com/huggingface/transformers/tree/master/examples/research_projects/mm-imdb).
By running:
```
python run_mmimdb.py \
--data_dir ../dataset/ \
--model_name_or_path bert-base-uncased \
--output_dir ../output \
--do_train \
--do_eval \... | {
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https://api.github.com/repos/huggingface/transformers/issues/9317 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9317/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9317/comments | https://api.github.com/repos/huggingface/transformers/issues/9317/events | https://github.com/huggingface/transformers/issues/9317 | 775,045,027 | MDU6SXNzdWU3NzUwNDUwMjc= | 9,317 | Bug: metrics inside on_evalute callback is passed wrongly | {
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"Issue resolved with adding this line in evaluate function:\r\n\r\n self.control = self.callback_handler.on_evaluate(self.args, self.state, self.control, results)\r\n",
"reopened, since this is not solved after this line, indeed this looks like a bug, could you have a look please?",
"Hello, could you please put... | 1,609 | 1,697 | 1,619 | NONE | null | Hi
this is very helpful to save all metrics every eval_step with evaluation_stategy = steps, for this I wrote a callback as follows to access metrics inside this callback:
```
class EvaluationCallback(TrainerCallback):
def on_evaluate(self, args, state, control, **kwargs):
print("### kwargs ", kwarg... | {
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https://api.github.com/repos/huggingface/transformers/issues/9316 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9316/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9316/comments | https://api.github.com/repos/huggingface/transformers/issues/9316/events | https://github.com/huggingface/transformers/pull/9316 | 774,980,122 | MDExOlB1bGxSZXF1ZXN0NTQ1NzY2NzM2 | 9,316 | [t5 model parallel] misc fixes | {
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"Somehow I'm feeling that this approach of having special logic to remap inputs ahead of time is over-complicated. I haven't tried it yet, but won't it be much much simpler to remap inputs once the model layer is visible and just before they are used by that layer - i.e. at the point where one gets:\r\n```\r\nRunti... | 1,609 | 1,622 | 1,622 | CONTRIBUTOR | null | This PR:
* in 2 places fixes an assumption that devices on the device map are always ` (0, 1, 2, 3)` and:
1. are ordered by their cuda device id and not `(2, 3, 0, 1)`
2. have a stride of 1 and not `(0, 2, 3, 5) `
* adds a missing `to()`, removes a redundant `to()`
* removes obvious comments
* removes cod... | {
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https://api.github.com/repos/huggingface/transformers/issues/9315 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9315/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9315/comments | https://api.github.com/repos/huggingface/transformers/issues/9315/events | https://github.com/huggingface/transformers/issues/9315 | 774,968,494 | MDU6SXNzdWU3NzQ5Njg0OTQ= | 9,315 | [model site] search UI: language: tags, directionality and filtering | {
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"cc'ing @gary149 and @beurkinger ",
"Hmm, I just discovered I had 2 related issues opened some months back:\r\n- https://github.com/huggingface/transformers/issues/8531\r\n- https://github.com/huggingface/transformers/issues/7206"
] | 1,609 | 1,616 | 1,616 | CONTRIBUTOR | null | I tried to use the models site to find which models I can use for translation of specific languages, and here are the issues I have encountered while doing that:
1. many HF created models aren't tagged for the languages they are trained for - e.g. t5: https://github.com/huggingface/transformers/issues/9314 - would i... | {
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https://api.github.com/repos/huggingface/transformers/issues/9314 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9314/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9314/comments | https://api.github.com/repos/huggingface/transformers/issues/9314/events | https://github.com/huggingface/transformers/issues/9314 | 774,964,612 | MDU6SXNzdWU3NzQ5NjQ2MTI= | 9,314 | [model site] missing language tags for t5 models | {
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"I updated all 5 models to include fr/ro/de language tags."
] | 1,609 | 1,616 | 1,616 | CONTRIBUTOR | null | Would it be possible to update core t5-* models' cards to include what languages they were trained on? Currently it says "en", which is very lacking.
e.g., see:
* https://huggingface.co/t5-base
* https://huggingface.co/t5-small
* etc.
The core t5 models should somehow have hits with https://huggingface.co/mod... | {
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https://api.github.com/repos/huggingface/transformers/issues/9313 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9313/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9313/comments | https://api.github.com/repos/huggingface/transformers/issues/9313/events | https://github.com/huggingface/transformers/issues/9313 | 774,948,683 | MDU6SXNzdWU3NzQ5NDg2ODM= | 9,313 | [TFBart-like models] Problem with tf saving | {
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"This bug forced me to disable the corresponding test in the new `TFLed` model for now, see: https://github.com/huggingface/transformers/pull/9278/files#r549042909",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comm... | 1,609 | 1,619 | 1,619 | MEMBER | null | ## Context
Usually, encoder-decoder models require both `input_ids` and `decoder_input_ids` in order to do one forward pass. If one *e.g.* only passes the `input_ids` to TFT5 -> the model will complain:
```python
from transformers import TFT5ForConditionalGeneration
import tensorflow as tf
model = TFT5ForCondi... | {
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https://api.github.com/repos/huggingface/transformers/issues/9312 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9312/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9312/comments | https://api.github.com/repos/huggingface/transformers/issues/9312/events | https://github.com/huggingface/transformers/issues/9312 | 774,943,037 | MDU6SXNzdWU3NzQ5NDMwMzc= | 9,312 | RAG model implementation seems different from the paper | {
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"Hey @XinyuHua,\r\n\r\nregarding 1) I'm not really sure either. Maybe the author can give a better answer here (hope it's ok to ping you here @ola13) For 2) Yes it should be correct. You can see from the paper that at every generation step `i` the marginal probability over all tokens `z` is calculated (compare to t... | 1,609 | 1,609 | 1,609 | NONE | null | Hi folks,
Thanks for open-sourcing RAG! After reading the model description in the paper and the actual code, I noticed a few discrepancies:
1. The marginalization for `RagSequenceForGeneration` seems a bit strange. From line 998 to line 1001 ([link](https://github.com/huggingface/transformers/blob/master/src/tra... | {
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https://api.github.com/repos/huggingface/transformers/issues/9311 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9311/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9311/comments | https://api.github.com/repos/huggingface/transformers/issues/9311/events | https://github.com/huggingface/transformers/issues/9311 | 774,904,406 | MDU6SXNzdWU3NzQ5MDQ0MDY= | 9,311 | T5-base goes out of memory on 4 GPUs with as small batch size as 4 | {
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"Here are things you may try (they are unrelated to each other, so you can try in any order that resonates):\r\n\r\n1. turn off `--fp16` or keep it but switch to [pytorch-nightly](https://pytorch.org/get-started/locally/) - there was a large memory leak fixed a few weeks ago related to autocast (fp16) - if this is ... | 1,609 | 1,619 | 1,619 | 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
- Python version: 3.7
- PyTorch version (GPU?): 1.7
- Tensorflow version (GP... | {
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https://api.github.com/repos/huggingface/transformers/issues/9310 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9310/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9310/comments | https://api.github.com/repos/huggingface/transformers/issues/9310/events | https://github.com/huggingface/transformers/issues/9310 | 774,846,751 | MDU6SXNzdWU3NzQ4NDY3NTE= | 9,310 | ModuleNotFoundError: No module named 'tokenizations.tokenizations' | {
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"Sorry, wrong repo"
] | 1,608 | 1,608 | 1,608 | NONE | null | ```
nlp = en_trf_bertbaseuncased_lg.load()
File "/usr/lib/python3.9/site-packages/en_trf_bertbaseuncased_lg/__init__.py", line 12, in load
return load_model_from_init_py(__file__, **overrides)
File "/usr/lib/python3.9/site-packages/spacy/util.py", line 239, in load_model_from_init_py
return load_mo... | {
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https://api.github.com/repos/huggingface/transformers/issues/9309 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9309/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9309/comments | https://api.github.com/repos/huggingface/transformers/issues/9309/events | https://github.com/huggingface/transformers/issues/9309 | 774,821,526 | MDU6SXNzdWU3NzQ4MjE1MjY= | 9,309 | Entry-level demo of visual question answering | {
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"Hi @yezhengli-Mr9 not sure what you are asking here,\r\nby `Trainer` demo do you mean an example showing how to fine-tune `LXMERT`?\r\n\r\nIf you are looking for how to use `LXMERT` then this [demo notebook](https://colab.research.google.com/drive/18TyuMfZYlgQ_nXo-tr8LCnzUaoX0KS-h?usp=sharing) show's how to use L... | 1,608 | 1,609 | 1,609 | NONE | null | ## Environment info
Is there any entry-level demo of visual question answering？(I am also interested in adding title for each image later on)
Better with `Trainer` added @sgugger. I follow the example from [Lxmert](https://huggingface.co/transformers/model_doc/lxmert.html).
```python
from transformers import Lxmer... | {
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https://api.github.com/repos/huggingface/transformers/issues/9308 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9308/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9308/comments | https://api.github.com/repos/huggingface/transformers/issues/9308/events | https://github.com/huggingface/transformers/pull/9308 | 774,785,520 | MDExOlB1bGxSZXF1ZXN0NTQ1NjMxNjgw | 9,308 | [GPT2] Correct gradient checkpointing | {
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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/9307 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9307/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9307/comments | https://api.github.com/repos/huggingface/transformers/issues/9307/events | https://github.com/huggingface/transformers/issues/9307 | 774,754,075 | MDU6SXNzdWU3NzQ3NTQwNzU= | 9,307 | from_pretrained does not load the modified part of model | {
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"In the documentation, this is written how from_pretrained works for untouched models, but I cannot see how this works when one modifies the model. ",
"Hey @juliahane,\r\n\r\ncould you please provide a code snippet showcasing the unintended behavior? Thanks!",
"This issue has been automatically marked as stale ... | 1,608 | 1,619 | 1,619 | 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: Linux
- Python version: 3.7
- PyTorch version (GPU?): 1.7
- Tensorflow version (GPU?): -
... | {
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https://api.github.com/repos/huggingface/transformers/issues/9306 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9306/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9306/comments | https://api.github.com/repos/huggingface/transformers/issues/9306/events | https://github.com/huggingface/transformers/issues/9306 | 774,710,859 | MDU6SXNzdWU3NzQ3MTA4NTk= | 9,306 | comment correction in test_retrieval_rag.py? | {
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"Both comments are right.\r\n\r\n```python\r\nself.assertEqual(doc_dicts[0][\"id\"][0], \"1\") # max inner product is reached with second doc\r\n```\r\nmakes sure the first retrieved document of the first query is the second document of the corpus (it's the one that maximizes the inner product)\r\n\r\nwhile\r\n```... | 1,608 | 1,609 | 1,609 | NONE | null | HI, in
https://github.com/huggingface/transformers/blob/master/tests/test_retrieval_rag.py#L223
comments of L223 and L224 are the same, maybe one of it should be "min inner product is reached with ...:
But I am not sure which one.
Pardon me if it is already correct. | {
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https://api.github.com/repos/huggingface/transformers/issues/9305 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9305/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9305/comments | https://api.github.com/repos/huggingface/transformers/issues/9305/events | https://github.com/huggingface/transformers/pull/9305 | 774,701,017 | MDExOlB1bGxSZXF1ZXN0NTQ1NTY4NTIx | 9,305 | [Don't merge] New design proposition for MAPPINGS in "auto" files | {
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"You're right that the current design is sub-optimal, especially for the tokenizers since we have introduced tokenizers decoupled from models.\r\n\r\n- Having this approach would imply modifying most configuration files on the hubs, given that you use the approach\r\n\r\n ```\r\n (config.class, config.tokenizer_c... | 1,608 | 1,618 | 1,618 | MEMBER | null | This PR would solve the issue: https://github.com/huggingface/transformers/issues/9250 but should not be used as a solution.
The PR should rather just show how the current design of all `OrderedDicts`, called `MAPPINGS_...` is suboptimal. It's impossible to add two values if both values have the same key. We need t... | {
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https://api.github.com/repos/huggingface/transformers/issues/9304 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9304/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9304/comments | https://api.github.com/repos/huggingface/transformers/issues/9304/events | https://github.com/huggingface/transformers/issues/9304 | 774,652,118 | MDU6SXNzdWU3NzQ2NTIxMTg= | 9,304 | 【 run_mlm.py 】attention_mask will be set to [1,1,...1] with DataCollatorForLanguageModeling | {
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"Sorry, I don't really understand the question here. Could you clarify a bit? In case this is a question about the behavior of `DataCollatorForLanguageModeling`, it would be awesome if you could use the forum: https://discuss.huggingface.co/ .\r\nOtherwise it would be great if you provide a code snippet showcasing ... | 1,608 | 1,622 | 1,622 | NONE | null | tokenized_datasets has been padded when padding="max_length"
when get a dataloader, we will use DataCollatorForLanguageModeling with tokenizer.pad at first
tokenizer.pad will set attention_mask to all 1 because input_ids have already been padded
so i want to know whether the attention mask meet expectations. | {
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https://api.github.com/repos/huggingface/transformers/issues/9303 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9303/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9303/comments | https://api.github.com/repos/huggingface/transformers/issues/9303/events | https://github.com/huggingface/transformers/pull/9303 | 774,649,111 | MDExOlB1bGxSZXF1ZXN0NTQ1NTMwNDk2 | 9,303 | add translation example | {
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"Hi, @vasudevgupta7 thanks for adding this! \r\nCould you link this notebook in the community notebooks table [here](https://github.com/huggingface/transformers/tree/master/notebooks#community-notebooks) instead of adding it to `/notebooks` ",
"done.",
"Thanks!\r\n\r\nI re-worded the description a bit, hope ... | 1,608 | 1,612 | 1,608 | CONTRIBUTOR | null | # What does this PR do?
This PR will add translation example to the repo as per discussion with @thomwolf.
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https://api.github.com/repos/huggingface/transformers/issues/9302 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9302/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9302/comments | https://api.github.com/repos/huggingface/transformers/issues/9302/events | https://github.com/huggingface/transformers/pull/9302 | 774,547,259 | MDExOlB1bGxSZXF1ZXN0NTQ1NDUzNzQ5 | 9,302 | Fix TF TransfoXL | {
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This PR fixes TransfoXL for graph compliancy. | {
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https://api.github.com/repos/huggingface/transformers/issues/9301 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9301/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9301/comments | https://api.github.com/repos/huggingface/transformers/issues/9301/events | https://github.com/huggingface/transformers/pull/9301 | 774,539,218 | MDExOlB1bGxSZXF1ZXN0NTQ1NDQ3NTI4 | 9,301 | Fix TF T5 | {
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"Already run of course 😉 and I can tell you that they all pass!"
] | 1,608 | 1,609 | 1,609 | CONTRIBUTOR | null | # What does this PR do?
This PR fix a couple of bug in T5, one for graph compliancy and another one for the `past` output. | {
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https://api.github.com/repos/huggingface/transformers/issues/9300 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9300/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9300/comments | https://api.github.com/repos/huggingface/transformers/issues/9300/events | https://github.com/huggingface/transformers/pull/9300 | 774,496,070 | MDExOlB1bGxSZXF1ZXN0NTQ1NDEzMDM0 | 9,300 | Fix TF Funnel | {
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"@LysandreJik feel free to merge if it looks ok for you and if @sgugger approves the last fix on `pooled_hidden`."
] | 1,608 | 1,609 | 1,609 | CONTRIBUTOR | null | # What does this PR do?
This PR fixes Funnel to make it full graph compliant. Even though all the slow/quick tests are passing and got similar results with few experiements, @sgugger I would appreciate that you thoroughly look at the changes in order to be sure no bugs have been introduced.
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https://api.github.com/repos/huggingface/transformers/issues/9299 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9299/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9299/comments | https://api.github.com/repos/huggingface/transformers/issues/9299/events | https://github.com/huggingface/transformers/pull/9299 | 774,439,933 | MDExOlB1bGxSZXF1ZXN0NTQ1MzY0MzM0 | 9,299 | [Bart doc] Fix outdated statement | {
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<!--
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https://api.github.com/repos/huggingface/transformers/issues/9298 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9298/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9298/comments | https://api.github.com/repos/huggingface/transformers/issues/9298/events | https://github.com/huggingface/transformers/issues/9298 | 774,397,275 | MDU6SXNzdWU3NzQzOTcyNzU= | 9,298 | `transformers.models.bart.modeling_bart._prepare_bart_decoder_inputs` seems to be renamed but remains in the document | {
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"Hey @forest1988,\r\n\r\nThanks a lot for your issue - you're 100% correct, the docs need to be updated here - I'll open a PR for this and tag you.\r\nSo to give some context on why this function doesn't exist anymore.\r\n\r\n- We are trying to align the API of all models which makes it easier for users to switch f... | 1,608 | 1,608 | 1,608 | CONTRIBUTOR | null | ## Environment info
- `transformers` version: 4.1.1
- Platform: Linux-4.15.0-123-generic-x86_64-with-glibc2.10
- Python version: 3.8.3
- PyTorch version (GPU?): 1.7.0 (True)
- Tensorflow version (GPU?): 2.3.1 (True)
- Using GPU in script?: Yes
- Using distributed or parallel set-up in script?: No
### W... | {
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# What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/9296 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9296/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9296/comments | https://api.github.com/repos/huggingface/transformers/issues/9296/events | https://github.com/huggingface/transformers/pull/9296 | 774,355,907 | MDExOlB1bGxSZXF1ZXN0NTQ1Mjg0NjM1 | 9,296 | [bert_generation] enable cache by default | {
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- add `use_cache` to `BertGenerationConfig` with default to `True`
- in `BertGenerationEncoder` if `use_cache` is `None` (this is the default behaviour) then set it using the `config`.
This will enable caching by default in inference for `BertGenerationEncoder` | {
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" here's what I found\r\n\r\n`t5-small` is the only T5 model that works in fp16 at the moment. The rest of the models produce `nan` loss/logits.\r\n\r\n for all the models and versions (v1, v1.1, mT5) at some point we get `inf` values in `hidden_states` after applying the final linear layer (`wo`) in `T5DenseRelu... | 1,608 | 1,665 | null | MEMBER | null | # 🚀 Feature request
This "Good second issue" should revisit some of the problems we were having with FP16 for `T5ForConditionalGeneration`: https://github.com/huggingface/transformers/issues/4586 and help to make T5 compatible with fp16.
**_Requirements:_**
- use transformers master
- use newest pytorch vers... | {
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https://api.github.com/repos/huggingface/transformers/issues/9294 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9294/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9294/comments | https://api.github.com/repos/huggingface/transformers/issues/9294/events | https://github.com/huggingface/transformers/pull/9294 | 774,314,021 | MDExOlB1bGxSZXF1ZXN0NTQ1MjQ5MjYz | 9,294 | Fix TF input for np.ndarray | {
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"I commented on the corresponding issue, I don't fully understand what's going on there in the error",
"This is on purpose because all the methods of a Keras Model allow to have `np.ndarray` as input. You can check for example `fit`, `predict` or `evaluate` here https://www.tensorflow.org/api_docs/python/tf/keras... | 1,608 | 1,610 | 1,610 | CONTRIBUTOR | null | # What does this PR do?
This PR allows `np.ndarray` datatype as input of the models.
# Fixes
#9248
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"Thanks!"
] | 1,608 | 1,608 | 1,608 | COLLABORATOR | null | Missing "s" typo in the error message, which is an invalid argument. | {
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This PR fixes Flaubert to make able to be executed in graph mode.
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This PR fixes the model inputs in TF CTRL. | {
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"That looks like a tough one...we might need help from @n1t0 here",
"The files for this model can be found [here](https://huggingface.co/pdelobelle/robbert-v2-dutch-base/tree/main).\r\n\r\nIn `merges.txt` is the merge rule: `ĉ Ċ`\r\nThat means that the symbol `Ċ` should be present in `vocab.json`\r\nIt is not.\r\... | 1,608 | 1,614 | 1,614 | COLLABORATOR | null | When I try to use a [Dutch RoBERTa model](https://huggingface.co/pdelobelle/robbert-v2-dutch-base/tree/main#how-to-use) as suggested, the library tries to convert the old (slow) tokenizer to the fast one. However, this leads to issues. (I can just keep the slow one, but I need to use the offset and word_ids functionali... | {
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https://api.github.com/repos/huggingface/transformers/issues/9289 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9289/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9289/comments | https://api.github.com/repos/huggingface/transformers/issues/9289/events | https://github.com/huggingface/transformers/pull/9289 | 774,219,784 | MDExOlB1bGxSZXF1ZXN0NTQ1MTcwMzAw | 9,289 | Fix typo in file_utils.py | {
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Fix typo of `add_code_sample_docstrings` in `file_utils.py`
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/maste... | {
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"I really like the idea of adding such a document. Two general things:\r\n\r\n1) I think we should make this document a bit more positive and not a \"mandatory read\" before posting an issue. IMO, in general we are (or should be) happy about all issues. Even if the issue is very badly formulated, it gives us a good... | 1,608 | 1,610 | 1,610 | CONTRIBUTOR | null | As discussed it'd be great to have a clear document with guidelines at how to create great Issues that are easy to understand, reproduce and resolve. I wrote this stab of a document to get things started.
Please feel free to edit it further to your satisfaction. I'm not attached to any parts it, just brain dumping w... | {
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"Hi @ziqi-zhang,\r\nthe distillation code is written using the `pytorch-lightning` framework and `SummarizationModule` is a lightning module. You should go through the lightning docs to see how training works for lightning modules and how to customize it.\r\n\r\n`Trainer` is transformers training helper which is di... | 1,608 | 1,619 | 1,619 | NONE | null | Hi,
I wonder what's the relationship between SummarizationModule (SummarizationDistiller), Trainer and BertPreTrainedModel? I want to reimplement the distillation.py of seq2seq example and run it on the glue dataset. But I'm confused by the relationship between these three classes.
The model parameter of Trainer... | {
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https://api.github.com/repos/huggingface/transformers/issues/9286 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9286/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9286/comments | https://api.github.com/repos/huggingface/transformers/issues/9286/events | https://github.com/huggingface/transformers/issues/9286 | 774,124,634 | MDU6SXNzdWU3NzQxMjQ2MzQ= | 9,286 | Why Bert-chinese use do_lower_case=False? | {
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"Hmm, I don't really know how to best answer your question here...maybe @JetRunner ?",
"using lowercase=False preserves the information about casing and this information maybe helpful in the context of the some work. such as for sentiment analysis i think casing is not important there but for the task like NER it... | 1,608 | 1,618 | 1,618 | CONTRIBUTOR | null | Some Chinese Text has some English words, for example: "Apples是苹果的复数形式。". I have questions about how to tokenize the text:
1. why Chinese Bert Case sensitive, but I can't find even 'A' in vocab.txt
2. Because English words in Chinese vocab.txt is few, should I use wordpiece tokenizer as default, like "['apple', '... | {
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https://api.github.com/repos/huggingface/transformers/issues/9285 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9285/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9285/comments | https://api.github.com/repos/huggingface/transformers/issues/9285/events | https://github.com/huggingface/transformers/issues/9285 | 774,110,438 | MDU6SXNzdWU3NzQxMTA0Mzg= | 9,285 | TFRobertaModel warning - `output_attentions`, `output_hidden_states` and `use_cache` cannot be updated | {
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"Hello!\r\n\r\nThese two messages are just a warning, you can ignore them if you are not concerned. Basically, these messages will always be displayed everytime the graph node is executed, and only in graph mode.",
"Is there a way to suppress these warnings? They overwhelm the logs with useless messages...",
"@... | 1,608 | 1,631 | 1,609 | NONE | null | I'm using:
google colab
transformers 4.1.1
tensorflow 2.4.0 (with gpu)
model TFRobertaModel
I keep getting a warning when calling TFRobertaModel. For example:
```
tokenizer = RobertaTokenizer.from_pretrained('roberta-base')
config = RobertaConfig.from_pretrained('roberta-base')
roberta_layer = TFRobertaMode... | {
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https://api.github.com/repos/huggingface/transformers/issues/9284 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9284/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9284/comments | https://api.github.com/repos/huggingface/transformers/issues/9284/events | https://github.com/huggingface/transformers/pull/9284 | 774,102,554 | MDExOlB1bGxSZXF1ZXN0NTQ1MDc4NDQ3 | 9,284 | [Templates] Adapt Bert | {
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https://api.github.com/repos/huggingface/transformers/issues/9283 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9283/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9283/comments | https://api.github.com/repos/huggingface/transformers/issues/9283/events | https://github.com/huggingface/transformers/pull/9283 | 773,930,861 | MDExOlB1bGxSZXF1ZXN0NTQ0OTM3MTQx | 9,283 | Fix TF DPR | {
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"@patrickvonplaten , I reworked a bit the approach. Now `TFDPREncoder` and `TFDPRSpanPredictor` are still models and keep their features from `TFPreTrainedModel` while all the DPR models benefit of the serving.\r\n\r\nAll the slow/quick tests are still passing.",
"All @sgugger comments have been addressed."
] | 1,608 | 1,609 | 1,609 | CONTRIBUTOR | null | # What does this PR do?
This PR rework the DPR architecture for its TF version. This rework allows DPR models to be saved as proper saved model.
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https://api.github.com/repos/huggingface/transformers/issues/9282 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9282/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9282/comments | https://api.github.com/repos/huggingface/transformers/issues/9282/events | https://github.com/huggingface/transformers/pull/9282 | 773,901,084 | MDExOlB1bGxSZXF1ZXN0NTQ0OTEyOTU4 | 9,282 | Adapt to new name of `label_smoothing_factor` training arg | {
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This PR changes `label_smoothing` to its new name `label_smoothing_factor` in the tests and scripts that use it.
Pinging @stas00 for information but will merge when CI is passing. | {
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https://api.github.com/repos/huggingface/transformers/issues/9281 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9281/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9281/comments | https://api.github.com/repos/huggingface/transformers/issues/9281/events | https://github.com/huggingface/transformers/pull/9281 | 773,734,818 | MDExOlB1bGxSZXF1ZXN0NTQ0NzY0MDI4 | 9,281 | tapas utils | {
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https://api.github.com/repos/huggingface/transformers/issues/9280 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9280/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9280/comments | https://api.github.com/repos/huggingface/transformers/issues/9280/events | https://github.com/huggingface/transformers/issues/9280 | 773,680,052 | MDU6SXNzdWU3NzM2ODAwNTI= | 9,280 | issue with evaluation of seq2seq_trainer.py on multiple gpus | {
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"Hello @rabeehk,\r\n\r\nWe sadly cannot fix issues of different repos, such as `rabeehk/seq2seq.git` - this is too time-consuming and not really our responsibility. We're happy to assist if you could provide a **short, precise, and complete** code snippet that is based on Transformers `Seq2SeqTrainer` only.",
"@r... | 1,608 | 1,619 | 1,619 | NONE | null | ## Environment info
- `transformers` version: 3.5.1
- Platform: Linux
- Python version: 3.7
- PyTorch version (GPU?): 1.7
- Tensorflow version (GPU?): -
- Using GPU in script?: yes
- Using distributed or parallel set-up in script?: yes
### Who can help
Trainer: @sgugger
## Information and commands... | {
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https://api.github.com/repos/huggingface/transformers/issues/9279 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9279/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9279/comments | https://api.github.com/repos/huggingface/transformers/issues/9279/events | https://github.com/huggingface/transformers/pull/9279 | 773,677,497 | MDExOlB1bGxSZXF1ZXN0NTQ0NzE5Njkx | 9,279 | [Refactor] Splitting pipelines.py into its own module. | {
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"I think I fixed all of them. \r\n\r\nWhen moving everything around I felt more comfortable switching temporarily to absolute imports forgot to switch back.\r\n"
] | 1,608 | 1,609 | 1,609 | CONTRIBUTOR | null | # What does this PR do?
Moves various pipelines into their own files.
`pipelines.py` was 3k+ lines of code with feels a bit too much. To go along with the `models` split
into various files, splitting into a cleaner module with subfiles was proposed by @thomwolf
(Can't find the discussion).
There's at least 3 p... | {
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https://api.github.com/repos/huggingface/transformers/issues/9278 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9278/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9278/comments | https://api.github.com/repos/huggingface/transformers/issues/9278/events | https://github.com/huggingface/transformers/pull/9278 | 773,665,199 | MDExOlB1bGxSZXF1ZXN0NTQ0NzA5NjYx | 9,278 | LED | {
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"@patrickvonplaten when you have time, can you fix the conflicts and apply the same updates merged in Longformer to LED. Thanks!"
] | 1,608 | 1,611 | 1,609 | MEMBER | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/9277 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9277/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9277/comments | https://api.github.com/repos/huggingface/transformers/issues/9277/events | https://github.com/huggingface/transformers/pull/9277 | 773,651,223 | MDExOlB1bGxSZXF1ZXN0NTQ0Njk4NzU0 | 9,277 | [Seq2Seq Templates] Fix check_repo.py templates file | {
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https://api.github.com/repos/huggingface/transformers/issues/9276 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9276/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9276/comments | https://api.github.com/repos/huggingface/transformers/issues/9276/events | https://github.com/huggingface/transformers/issues/9276 | 773,648,073 | MDU6SXNzdWU3NzM2NDgwNzM= | 9,276 | Vision Transformer | {
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"This was implemented in https://github.com/huggingface/transformers/pull/10950"
] | 1,608 | 1,631 | 1,631 | NONE | null | # 🌟 New model addition
## Model description
This issue is adding the Vision Transformer model described in the [An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale](https://arxiv.org/abs/2010.11929) paper. If you have any feedback and/or further ideas for the implementation please don't he... | {
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https://api.github.com/repos/huggingface/transformers/issues/9275 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9275/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9275/comments | https://api.github.com/repos/huggingface/transformers/issues/9275/events | https://github.com/huggingface/transformers/issues/9275 | 773,647,024 | MDU6SXNzdWU3NzM2NDcwMjQ= | 9,275 | Disable progress bar for Trainer | {
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"If you set `disable_tqdm=False` in your `TrainingArguments`, you shouldn't have any progress bar from the library.",
"Well, I think you meant `disable_tqdm=True`. By the way, the following worked:\r\n\r\n`args = TrainingArguments(disable_tqdm=True, output_dir=\"tmp_trainer\")`\r\n\r\nI am still getting progress ... | 1,608 | 1,608 | 1,608 | NONE | null | I am referencing a similar code compared to [run_glue.py]
(https://github.com/huggingface/transformers/blob/master/examples/text-classification/run_glue.py).
I am running a preprocessing function that does the tokenization of text as well as `trainer.predict` on a pandas dataframe. How do I disable the progress bar... | {
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https://api.github.com/repos/huggingface/transformers/issues/9274 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9274/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9274/comments | https://api.github.com/repos/huggingface/transformers/issues/9274/events | https://github.com/huggingface/transformers/issues/9274 | 773,645,602 | MDU6SXNzdWU3NzM2NDU2MDI= | 9,274 | Loss printed by tensorflow fit() differs from loss using custom loop for RoBERTa | {
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"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/master/CONTRIBUTING.md)... | 1,608 | 1,619 | 1,619 | NONE | null | ## Environment info
- `transformers` version: 3.3.1
- Platform: Windows 10
- Python version: 3.6
- PyTorch version (GPU?): N/A
- Tensorflow version (GPU?): 2.3.0
- Using GPU in script?: No
- Using distributed or parallel set-up in script?: No
### Who can help
@jplu, @LysandreJik
## Information
Model I ... | {
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https://api.github.com/repos/huggingface/transformers/issues/9273 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9273/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9273/comments | https://api.github.com/repos/huggingface/transformers/issues/9273/events | https://github.com/huggingface/transformers/pull/9273 | 773,632,876 | MDExOlB1bGxSZXF1ZXN0NTQ0Njg0ODE4 | 9,273 | Fix param error | {
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# What does this PR do?
Fixes error
```
TypeError: forward() got an unexpected keyword argument 'token_type_ids'
```
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](https://githu... | {
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https://api.github.com/repos/huggingface/transformers/issues/9272 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9272/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9272/comments | https://api.github.com/repos/huggingface/transformers/issues/9272/events | https://github.com/huggingface/transformers/pull/9272 | 773,564,855 | MDExOlB1bGxSZXF1ZXN0NTQ0NjMzNTI4 | 9,272 | Fix gpt2 document | {
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Fixes gpt2 document error.
```
AttributeError: 'GPT2DoubleHeadsModelOutput' object has no attribute 'lm_logits'
```
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guide... | {
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https://api.github.com/repos/huggingface/transformers/issues/9271 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9271/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9271/comments | https://api.github.com/repos/huggingface/transformers/issues/9271/events | https://github.com/huggingface/transformers/pull/9271 | 773,507,104 | MDExOlB1bGxSZXF1ZXN0NTQ0NTg2MTYy | 9,271 | allow integer device for BatchEncoding | {
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Fixes #9244
I'm not fully aware of the details behind the Apex guard, in the method, so maybe this is not the solution.
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [ ] Did you read the [contributor guide... | {
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https://api.github.com/repos/huggingface/transformers/issues/9270 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9270/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9270/comments | https://api.github.com/repos/huggingface/transformers/issues/9270/events | https://github.com/huggingface/transformers/issues/9270 | 773,413,234 | MDU6SXNzdWU3NzM0MTMyMzQ= | 9,270 | how can I change the AlbertModel's vocab | {
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"This should help: https://github.com/huggingface/transformers/issues/1413#issuecomment-538083512",
"Tanks a lot."
] | 1,608 | 1,608 | 1,608 | NONE | null | # 🚀 Feature request
<!-- A clear and concise description of the feature proposal.
Please provide a link to the paper and code in case they exist. -->
how can I change the AlbertModel's vocab
Thanks
## Motivation
I noticed that I can change the Bert's vocab by change the vocab.txt. But when I use the A... | {
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https://api.github.com/repos/huggingface/transformers/issues/9269 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9269/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9269/comments | https://api.github.com/repos/huggingface/transformers/issues/9269/events | https://github.com/huggingface/transformers/issues/9269 | 773,325,153 | MDU6SXNzdWU3NzMzMjUxNTM= | 9,269 | Output probability from model.generate | {
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"You'll have it soon 😉 , once #9150 is merged ",
"> You'll have it soon 😉 , once #9150 is merged\r\n\r\nThat's awesome. Thanks!",
"@patil-suraj great, it got merged but how does translates now to your question_generation repo? How do I get the output probability/confidence score to the the predicted answers?"... | 1,608 | 1,622 | 1,622 | NONE | null | # 🚀 Feature request
Do we have the option to output the probability of the generated sequence from model.generate function? It will be super useful for evaluating the confidence score of the generated sequence. Thanks so much! | {
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https://api.github.com/repos/huggingface/transformers/issues/9268 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9268/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9268/comments | https://api.github.com/repos/huggingface/transformers/issues/9268/events | https://github.com/huggingface/transformers/issues/9268 | 773,283,992 | MDU6SXNzdWU3NzMyODM5OTI= | 9,268 | Unable to load LayoutLM from pretrained | {
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"LayoutLM only has a PyTorch implementation available. If you remove the `from_tf=True` statement, it will work.\r\n",
"I am trying to load the model weights from [here](https://huggingface.co/microsoft/layoutlm-base-uncased/tree/main#) but `from_tf=False` doesn't work either. Traceback is below.\r\n```\r\nfile_... | 1,608 | 1,608 | 1,608 | NONE | null | ## Environment info
- `transformers` version: 3.3.0
- Platform: Linux-4.15.0-76-generic-x86_64-with-glibc2.10
- Python version: 3.8.2
- PyTorch version (GPU?): 1.7.1 (True)
- Tensorflow version (GPU?): not installed (NA)
- Using GPU in script?: NA
- Using distributed or parallel set-up in script?: NA
### Wh... | {
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https://api.github.com/repos/huggingface/transformers/issues/9267 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9267/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9267/comments | https://api.github.com/repos/huggingface/transformers/issues/9267/events | https://github.com/huggingface/transformers/issues/9267 | 773,277,672 | MDU6SXNzdWU3NzMyNzc2NzI= | 9,267 | [hf args] shouldn't match partial arg names | {
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"This looks like it's actually an intended behavior of `ArgumentParser`: see [here](https://docs.python.org/3/library/argparse.html#argparse.ArgumentParser.parse_known_args) and in general of `argparse` (see [here](https://docs.python.org/3/library/argparse.html#prefix-matching)). So I don't think it categorizes as... | 1,608 | 1,608 | 1,608 | CONTRIBUTOR | null | For `--label_smoothing_factor` I can pass `--label_smoothing` and it still works - which is a bug, as it should do a full match and not a substring. This is with master.
context: finetune_trainer just switched from `--label_smoothing` to `--label_smoothing_factor` (different functionality) and we were puzzling over ... | {
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https://api.github.com/repos/huggingface/transformers/issues/9266 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9266/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9266/comments | https://api.github.com/repos/huggingface/transformers/issues/9266/events | https://github.com/huggingface/transformers/pull/9266 | 773,268,347 | MDExOlB1bGxSZXF1ZXN0NTQ0Mzg2NDY2 | 9,266 | Minor documentation revisions from copyediting | {
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"Looks like you need to run `make style` on your branch to fix the formatting of the doc files. Let me know if you run into any trouble doing that.",
"Thanks @sgugger 😄 I was able to run `make style` successfully (and update `preprocessing.rst` with the changes), but it looks like the `check_code_quality` check ... | 1,608 | 1,608 | 1,608 | CONTRIBUTOR | null | # What does this PR do?
Minor changes to the documentation to correct typos and improve readability. I noticed these typos while reading through the docs to familiarize myself with the library for a project, and thought it would be nice to make a PR for them 😊
I've already tested building the docs from these cha... | {
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https://api.github.com/repos/huggingface/transformers/issues/9265 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9265/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9265/comments | https://api.github.com/repos/huggingface/transformers/issues/9265/events | https://github.com/huggingface/transformers/issues/9265 | 773,236,931 | MDU6SXNzdWU3NzMyMzY5MzE= | 9,265 | [finetune_trainer] max length cl args redesign | {
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"After giving this some thought, given the fact there are two different lengths here (input and targets) I would propose keeping `--max_source_length` and `--max_target_length` to avoid any confusion for the user. In the same vein, `run_qa.py` contains `max_seq_length` and `max_answer_length` to clearly differentia... | 1,608 | 1,616 | 1,616 | CONTRIBUTOR | null | Splitting of from https://github.com/huggingface/transformers/pull/9241, it's been proposed to refactor the following 4 cl args of `finetune_trainer.py`:
1. `--max_source_length`
2. `--max_target_length`
3. `--val_max_target_length`
4. `--test_max_target_length`
https://github.com/huggingface/transforme... | {
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https://api.github.com/repos/huggingface/transformers/issues/9264 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9264/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9264/comments | https://api.github.com/repos/huggingface/transformers/issues/9264/events | https://github.com/huggingface/transformers/issues/9264 | 773,195,058 | MDU6SXNzdWU3NzMxOTUwNTg= | 9,264 | compute_metrics in the trainer does not seem to be extensible | {
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"If I understand correctly you raise 2 unrelated issues:\r\n\r\n1. there is only one place where `compute_metrics` is set and perhaps it needs to be changed through the life of the trainer object?\r\n\r\nSince you can always override it with:\r\n```\r\ntrainer.compute_metrics = new_compute_metrics\r\n```\r\nwhen yo... | 1,608 | 1,619 | 1,619 | NONE | null | Hi,
This is more feature request, looking into compute_metrics function defined below:
https://github.com/huggingface/transformers/blob/c89bdfbe720bc8f41c7dc6db5473a2cb0955f224/src/transformers/trainer.py#L204
to me this looks like the design does not allow user easy modification for different applications or I ... | {
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https://api.github.com/repos/huggingface/transformers/issues/9263 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9263/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9263/comments | https://api.github.com/repos/huggingface/transformers/issues/9263/events | https://github.com/huggingface/transformers/pull/9263 | 773,190,366 | MDExOlB1bGxSZXF1ZXN0NTQ0MzE5ODQ5 | 9,263 | Adds MuRIL - BERT based model for 17 Indian Languages to the library | {
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"Hey @ravi03071991, \r\n\r\nthanks a lot for the new model! There are quite some empty files in the PR - can we maybe delete those?",
"From https://tfhub.dev/google/MuRIL/1 it seems that MuRIL is the same as BERT - do we need a new model class? It would be awesome if you could specify the differences between MuRI... | 1,608 | 1,619 | 1,619 | CONTRIBUTOR | null | # What does this PR do?
This PR adds a TensorFlow-based MuRIL model to the library. More details about the MuRIL model can be found [here](https://tfhub.dev/google/MuRIL/1).
Fixes: #9190
@LysandreJik @patrickvonplaten | {
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https://api.github.com/repos/huggingface/transformers/issues/9262 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9262/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9262/comments | https://api.github.com/repos/huggingface/transformers/issues/9262/events | https://github.com/huggingface/transformers/pull/9262 | 773,181,711 | MDExOlB1bGxSZXF1ZXN0NTQ0MzEyNzY2 | 9,262 | Revert renaming in finetune_trainer | {
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As per the discussion in #9241, reverting all renaming in the `finetune_trainer.py` script for now. | {
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https://api.github.com/repos/huggingface/transformers/issues/9261 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9261/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9261/comments | https://api.github.com/repos/huggingface/transformers/issues/9261/events | https://github.com/huggingface/transformers/issues/9261 | 773,159,927 | MDU6SXNzdWU3NzMxNTk5Mjc= | 9,261 | [seq2seq] memory regression | {
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"Yes, we really should take a stab at better speed and memory regression testing. Big new years resolution!",
"This specific commit introduced the regression:\r\nhttps://github.com/huggingface/transformers/pull/9241/commits/fe7960bcbe0183d198661e1c05d82ed7ff118e18\r\n",
"There is a second problem:\r\n\r\nSame a... | 1,608 | 1,611 | 1,611 | CONTRIBUTOR | null | #9241 introduced a memory regression - found out via git bisect.
I was able to do: BS=12 before this PR got merged and now only BS=8 with:
```
export BS=12; rm -r output_dir; CUDA_VISIBLE_DEVICES=0,1 PYTHONPATH=../../src USE_TF=0 python -m torch.distributed.launch --nproc_per_node=2 --master_port=9910 ./finetu... | {
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https://api.github.com/repos/huggingface/transformers/issues/9260 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9260/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9260/comments | https://api.github.com/repos/huggingface/transformers/issues/9260/events | https://github.com/huggingface/transformers/pull/9260 | 773,097,487 | MDExOlB1bGxSZXF1ZXN0NTQ0MjQ0NTc1 | 9,260 | Add speed metrics to all example scripts + template | {
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"The eval metrics are already reported with the other metrics, so need to add anything for them. Not sure about the refactor since this shouldn't really be a function in transformers (nothing to do with transformers models) so we would have to define it in every one of those scripts, which kind of takes the same le... | 1,608 | 1,608 | 1,608 | COLLABORATOR | null | # What does this PR do?
This does the same as #9198 but on all examples scripts and the example template. | {
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https://api.github.com/repos/huggingface/transformers/issues/9259 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9259/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9259/comments | https://api.github.com/repos/huggingface/transformers/issues/9259/events | https://github.com/huggingface/transformers/pull/9259 | 773,045,330 | MDExOlB1bGxSZXF1ZXN0NTQ0MjA0NDIw | 9,259 | Fix script that check objects are documented | {
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Currently, the script that checks objects in the main init are not documented is not really running cause I'm stupid and forgot a pair of `()`...
This PR fixes that and adds the objects introduces without documentation in their proper place. | {
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https://api.github.com/repos/huggingface/transformers/issues/9258 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9258/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9258/comments | https://api.github.com/repos/huggingface/transformers/issues/9258/events | https://github.com/huggingface/transformers/issues/9258 | 773,030,618 | MDU6SXNzdWU3NzMwMzA2MTg= | 9,258 | torch.hub colab doesn't work | {
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https://api.github.com/repos/huggingface/transformers/issues/9257 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9257/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9257/comments | https://api.github.com/repos/huggingface/transformers/issues/9257/events | https://github.com/huggingface/transformers/issues/9257 | 773,023,666 | MDU6SXNzdWU3NzMwMjM2NjY= | 9,257 | Pegasus Documentation May Conflict With Seq2Seq ReadMe | {
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"Hi @kingpalethe,\r\n\r\nIn general, for BART and Marian models, training and eval is faster with fp16, except Pegasus and T5 which currently don't work well with fp16\r\n\r\nYes, the fine-tuning script is now moved under `examples/research_projects/seq2seq-distillation` dir,\r\nhttps://github.com/huggingface/tran... | 1,608 | 1,696 | 1,614 | NONE | null | Here, under `tips and tricks`.....
https://github.com/huggingface/transformers/blob/master/examples/seq2seq/README.md#tips-and-tricks
`Both finetuning and eval are 30% faster with --fp16. For that you need to install apex.`
But in the documentation...
https://huggingface.co/transformers/master/model_doc/pegasus.h... | {
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https://api.github.com/repos/huggingface/transformers/issues/9256 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9256/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9256/comments | https://api.github.com/repos/huggingface/transformers/issues/9256/events | https://github.com/huggingface/transformers/pull/9256 | 773,001,989 | MDExOlB1bGxSZXF1ZXN0NTQ0MTY5ODc5 | 9,256 | [EncoderDecoder] Make tests more aggressive | {
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https://api.github.com/repos/huggingface/transformers/issues/9255 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9255/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9255/comments | https://api.github.com/repos/huggingface/transformers/issues/9255/events | https://github.com/huggingface/transformers/pull/9255 | 772,990,353 | MDExOlB1bGxSZXF1ZXN0NTQ0MTYwMzEw | 9,255 | Fix link to bertabs/README.md | {
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https://api.github.com/repos/huggingface/transformers/issues/9254 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9254/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9254/comments | https://api.github.com/repos/huggingface/transformers/issues/9254/events | https://github.com/huggingface/transformers/pull/9254 | 772,986,122 | MDExOlB1bGxSZXF1ZXN0NTQ0MTU2ODk4 | 9,254 | Fix link to old language modeling script | {
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https://api.github.com/repos/huggingface/transformers/issues/9253 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9253/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9253/comments | https://api.github.com/repos/huggingface/transformers/issues/9253/events | https://github.com/huggingface/transformers/issues/9253 | 772,850,278 | MDU6SXNzdWU3NzI4NTAyNzg= | 9,253 | Prediction problem of glue task | {
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"I have trained the glue task for mrpc, and I want to load the pretrained model and predict for new sentence pairs.\r\n\r\n```py\r\neval_dataset = load_dataset( \"json\", data_files={\"test\": \"/home/aa/paraphrase/data/qqp/tt.json\"})\r\neval_dataset = eval_dataset.map(preprocess_function, batched=False, load_from... | 1,608 | 1,614 | 1,614 | NONE | null | {
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https://api.github.com/repos/huggingface/transformers/issues/9252 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9252/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9252/comments | https://api.github.com/repos/huggingface/transformers/issues/9252/events | https://github.com/huggingface/transformers/pull/9252 | 772,844,155 | MDExOlB1bGxSZXF1ZXN0NTQ0MDM2MzU1 | 9,252 | Fix TF BART for saved model creation | {
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"Quick question on the context before going deeper into the PR: At the moment all \"fast\" and \"slow\" `TFBart` tests are passing. I thought model creation is already tested currently. What is the exact use case for which `TFBart` currently fails? Should we maybe add a new `modeling_tf_commen.py` test that would p... | 1,608 | 1,608 | 1,608 | CONTRIBUTOR | null | # What does this PR do?
This PR fixes the graph execution issue in order to make BART able to create a proper saved model.
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https://api.github.com/repos/huggingface/transformers/issues/9251 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9251/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9251/comments | https://api.github.com/repos/huggingface/transformers/issues/9251/events | https://github.com/huggingface/transformers/pull/9251 | 772,752,683 | MDExOlB1bGxSZXF1ZXN0NTQzOTYwMTA3 | 9,251 | Model Templates for Seq2Seq | {
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"Improvements to TFBart: https://github.com/huggingface/transformers/pull/9252 are now included in this PR as well."
] | 1,608 | 1,608 | 1,608 | 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/9250 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9250/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9250/comments | https://api.github.com/repos/huggingface/transformers/issues/9250/events | https://github.com/huggingface/transformers/issues/9250 | 772,706,070 | MDU6SXNzdWU3NzI3MDYwNzA= | 9,250 | ValueError: Tokenizer class T5Tokenizer does not exist or is not currently imported. | {
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"Hey @nsankar,\r\n\r\nI cannot reproduce the above error concerning the tokenizer. The tokenizer is loaded correctly in my command line.\r\nHowever it seems like the model weights are not 100% correct.\r\n\r\n@mrm8488 when I load the model via:\r\n\r\n```python\r\nmodel = AutoModelForSeq2SeqLM.from_pretrained(\"mrm... | 1,608 | 1,676 | 1,614 | NONE | null | @mfuntowicz
## 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: Latest transformers==4.2.0.dev0
- Platform: Colab
- Python version: Python 3.6.9
- P... | {
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https://api.github.com/repos/huggingface/transformers/issues/9249 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9249/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9249/comments | https://api.github.com/repos/huggingface/transformers/issues/9249/events | https://github.com/huggingface/transformers/issues/9249 | 772,681,750 | MDU6SXNzdWU3NzI2ODE3NTA= | 9,249 | GPT2 distributed TPU pre-training using run_clm.py | {
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"It clearly states you're out of hbm memory, which is the TPU memory from what Google tells me. I think you have to specify a lower batch size or a lower `block_size` (GPT-2 uses a very big one by default).",
"@sgugger yup, this was exactly what's wrong, my batch size (per device) is 8 so didn't consider that I a... | 1,608 | 1,608 | 1,608 | 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: 4.2.0dev0
- Platform: Linux-4.9.0-14-amd64-x86_64-with-debian-9.13
- Python version: 3.6.10
- PyTorch v... | {
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https://api.github.com/repos/huggingface/transformers/issues/9248 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9248/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9248/comments | https://api.github.com/repos/huggingface/transformers/issues/9248/events | https://github.com/huggingface/transformers/issues/9248 | 772,674,200 | MDU6SXNzdWU3NzI2NzQyMDA= | 9,248 | numpy ndarray type is not allowed on process pytorch model | {
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"Hello!\r\n\r\nThanks for reporting this, we will apply a fix for the next release!",
"@LoveMeWithoutAll thanks for issue!\r\n\r\nCould you specific your use case here a bit? Do you want to convert a PyTorch model to a tensorflow model and consequently train the tensorflow model? Why do we need to forward `ndarra... | 1,608 | 1,612 | 1,612 | 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: 4.1.1
- Platform: macOS-10.16-x86_64-i386-64bit
- Python version: 3.8.6
- PyTorch version (GPU?): 1.7.1... | {
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https://api.github.com/repos/huggingface/transformers/issues/9247 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9247/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9247/comments | https://api.github.com/repos/huggingface/transformers/issues/9247/events | https://github.com/huggingface/transformers/issues/9247 | 772,641,305 | MDU6SXNzdWU3NzI2NDEzMDU= | 9,247 | T5 tokenizer.vocab_size and config.vocab_size mismatch? | {
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"Duplicate of https://github.com/huggingface/transformers/issues/4875.",
"I see, I simply ignored this mismatch and seems nothing wrong with prediction.\r\nThank you!"
] | 1,608 | 1,608 | 1,608 | 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: 4.1.1
- Python version: 3.8.5
- PyTorch version (GPU?): 1.7.1
- tokenizers: 0.9.4
- Using GPU in scrip... | {
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https://api.github.com/repos/huggingface/transformers/issues/9246 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9246/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9246/comments | https://api.github.com/repos/huggingface/transformers/issues/9246/events | https://github.com/huggingface/transformers/issues/9246 | 772,630,791 | MDU6SXNzdWU3NzI2MzA3OTE= | 9,246 | AssertionError: Non-consecutive added token '<pad>' found. Should have index 40002 but has index 40000 in saved vocabulary | {
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"I think the problem is that the saved tokenizer saves `len(tokenizer)` = 40002. So when I load it, the added tokens id starts from 40000, the error occurs.",
"Hey @thesby,\r\n\r\nDid you add any special tokens to `XLMRobertaTokenizer` that weren't there previously? \r\nCould you copy/paste the code you used to t... | 1,608 | 1,619 | 1,619 | NONE | null | torch: 1.6.0
transformers: 3.5.1
OS: centos 7
GPU: A100
I trained a sentencepiece bpe model. There is no problem if I load it with `XLMRobertaTokenizer`. But when I load with `XLMRobertaTokenizerFast`, it cost a long time in `transformers/convert_slow_tokenizer.py`. After save the tokenizer and load it `from_pret... | {
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https://api.github.com/repos/huggingface/transformers/issues/9245 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9245/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9245/comments | https://api.github.com/repos/huggingface/transformers/issues/9245/events | https://github.com/huggingface/transformers/issues/9245 | 772,628,462 | MDU6SXNzdWU3NzI2Mjg0NjI= | 9,245 | [s2s] test_finetune_trainer_slow fails when run in group | {
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"I also have the same failure on one GPU on my side FYI (but no failure when run on its own).",
"Thank you, @sgugger - your input helped a lot to reduce the sequence quickly! So this sequence fails:\r\n```\r\nCUDA_VISIBLE_DEVICES=0 RUN_SLOW=1 pytest \\\r\ntest_finetune_trainer.py::TestFinetuneTrainer::test_finet... | 1,608 | 1,614 | 1,614 | CONTRIBUTOR | null | On dual gpu when running `test_finetune_trainer.py::TestFinetuneTrainer::test_finetune_trainer_slow` alone - all is good.
when running it with all the other tests in that file it fails:
```
RUN_SLOW=1 pytest -sv test_finetune_trainer.py
[...]
self = <seq2seq.test_finetune_trainer.TestFinetuneTrainer testMethod... | {
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https://api.github.com/repos/huggingface/transformers/issues/9244 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9244/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9244/comments | https://api.github.com/repos/huggingface/transformers/issues/9244/events | https://github.com/huggingface/transformers/issues/9244 | 772,614,539 | MDU6SXNzdWU3NzI2MTQ1Mzk= | 9,244 | BatchEncoding.to accepted types too restrictive | {
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- `transformers` version: 4.1.1
- Platform: Linux-4.14.81.bm.15-amd64-x86_64-with-debian-9.11
- Python version: 3.7.9
- PyTorch version (GPU?): 1.7.0 (True)
- Tensorflow version (GPU?): not installed (NA)
- Using GPU in script?: yes
- Using distributed or parallel set-up in script?: ye... | {
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https://api.github.com/repos/huggingface/transformers/issues/9243 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9243/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9243/comments | https://api.github.com/repos/huggingface/transformers/issues/9243/events | https://github.com/huggingface/transformers/issues/9243 | 772,570,214 | MDU6SXNzdWU3NzI1NzAyMTQ= | 9,243 | AssertionError with model_parallel in run_clm.py | {
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"I'm not the expert on the model parallel feature, but I think it's not supposed to be launched with `torch.distributed` as it will only use one process, then split the layers of your model on several GPUs.",
"Thanks for the fast response @sgugger \r\n\r\nI tried your suggestion and ran the following (removing th... | 1,608 | 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: 4.1.1
- Platform: AWS Sagemaker
- Python version: 3.6
- PyTorch version (GPU?): 1.6
- Tensorflow vers... | {
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"Hey @vsuarezpaniagua,\r\n\r\nGreat point! I noticed the same thing actually a couple of days ago as well with @jplu. I think we should add this functionality to `modeling_tf_utils.py`. It should be very similar to how it's done in the corresponding code in `modeling_utils.py`, and would require a new `load_tf1_wei... | 1,608 | 1,614 | 1,614 | NONE | null | In the file modeling_utils.py, we can load a TF 1.0 checkpoint as is indicated in this [line](https://github.com/huggingface/transformers/blob/fb650df8590f796663226132482d09da5b0fb613/src/transformers/modeling_utils.py#L930). However, in the file modeling_tf_utils.py, which is the same version for TF, we can not load m... | {
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https://api.github.com/repos/huggingface/transformers/issues/9241 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9241/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9241/comments | https://api.github.com/repos/huggingface/transformers/issues/9241/events | https://github.com/huggingface/transformers/pull/9241 | 772,506,679 | MDExOlB1bGxSZXF1ZXN0NTQzNzYwNjQx | 9,241 | Seq2seq trainer | {
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"Oh and this PR does not delete the old `Seq2SeqTrainer` just yet since I'm planning to merge it just before my vacation. That way if something goes horribly wrong, people can still use the old `Seq2SeqTrainer`. The plan would be to delete it in January after the new `Seq2SeqTrainer` has been tested.",
"> change... | 1,608 | 1,651 | 1,608 | COLLABORATOR | null | # What does this PR do?
This PR graduates `Seq2SeqTrainer` and moves it inside the transformers library. By doing so, it moves some of the features of the `Seq2SeqTrainer` inside the main `Trainer` and leaves some in the subclass. More precisely, the following features will be available in the general Trainer:
- la... | {
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https://api.github.com/repos/huggingface/transformers/issues/9240 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9240/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9240/comments | https://api.github.com/repos/huggingface/transformers/issues/9240/events | https://github.com/huggingface/transformers/issues/9240 | 772,400,910 | MDU6SXNzdWU3NzI0MDA5MTA= | 9,240 | Help: How to deploy a fine tuned t5 model in production | {
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"Hey @as-stevens,\r\n\r\nCould you maybe post this question on the forum: https://discuss.huggingface.co/? We try to move more user-specific questions to the forum and limit Github mostly to bug reports. Thank you!",
"@patrickvonplaten thank you much! I will close this issue."
] | 1,608 | 1,608 | 1,608 | CONTRIBUTOR | null | Hi All,
I am trying to deploy a fine-tuned t5 model in production. This is something new to me, to deploy a PyTorch model in production. I went through the presentation from Hugging Face on youtube, about how they deploy the model. And some of the other blog posts.
It is mentioned by HF that they deploy the model... | {
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https://api.github.com/repos/huggingface/transformers/issues/9239 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9239/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9239/comments | https://api.github.com/repos/huggingface/transformers/issues/9239/events | https://github.com/huggingface/transformers/pull/9239 | 772,388,198 | MDExOlB1bGxSZXF1ZXN0NTQzNjYzNTE0 | 9,239 | Adding performer fine-tuning research exampke | {
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"@sgugger - we want to do some fine-tuning experiments with the new performer model: https://arxiv.org/abs/2009.14794 before adding it to the `src/transformers/`. I think this is a good first place for it where we don't have to be super careful about the API choices yet. Is that fine for you?",
"Yes, this complet... | 1,608 | 1,608 | 1,608 | CONTRIBUTOR | null | # What does this PR do?
This PR adds a performer fine-tuning research example based on `run_mlm_flax.py`. The user can fine-tune a Performer/FAVOR+ Bert starting from the Bert checkpoint or blank model of their choice, and compare it to a vanilla Bert model, also from a checkpoint or blank.
@patrickvonplaten | {
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https://api.github.com/repos/huggingface/transformers/issues/9238 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9238/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9238/comments | https://api.github.com/repos/huggingface/transformers/issues/9238/events | https://github.com/huggingface/transformers/issues/9238 | 772,354,054 | MDU6SXNzdWU3NzIzNTQwNTQ= | 9,238 | Bug SqueezeBERT stops with no error | {
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"Hi! Is there a way for you to reproduce this error in a colab notebook? ",
"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."
] | 1,608 | 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:
- Platform: Ubuntu
- Python version: anaconda python 3.7
- PyTorch version (GPU?):
- Tensorflow vers... | {
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https://api.github.com/repos/huggingface/transformers/issues/9237 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9237/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9237/comments | https://api.github.com/repos/huggingface/transformers/issues/9237/events | https://github.com/huggingface/transformers/pull/9237 | 772,296,975 | MDExOlB1bGxSZXF1ZXN0NTQzNTg1OTc2 | 9,237 | Update the README of the text classification example | {
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This PR updates the main README of the examples folder and the one in the text classification example to take into account the recent changes in the scripts. In particular, I re-ran the command shown for all tasks with/without FP16 to make a clean table of results.
I moved all stuff about ... | {
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https://api.github.com/repos/huggingface/transformers/issues/9236 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9236/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9236/comments | https://api.github.com/repos/huggingface/transformers/issues/9236/events | https://github.com/huggingface/transformers/issues/9236 | 772,292,761 | MDU6SXNzdWU3NzIyOTI3NjE= | 9,236 | mBART finetuned on XSUM | {
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"> For French texts, results are in English and poor summary --> (why the language changes?)\r\n\r\nSince you are fine-tuning on English data, I don't think it will be good at generating french summaries. Probably a good idea to fine-tune with multiple languages.\r\n\r\n> Why facebook/bart-large-xsum understands fr... | 1,608 | 1,614 | 1,614 | NONE | null | ## Environment info
- `transformers` version: 4.1.0.dev0
- Platform: Linux-5.4.0-58-generic-x86_64-with-glibc2.29
- Python version: 3.8.5
- PyTorch version (GPU?): 1.8.0.dev20201216+cu110 (True)
- Using GPU in script?: Yes
- Using distributed or parallel set-up in script?: distributed
### Who can help
... | {
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https://api.github.com/repos/huggingface/transformers/issues/9235 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9235/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9235/comments | https://api.github.com/repos/huggingface/transformers/issues/9235/events | https://github.com/huggingface/transformers/issues/9235 | 772,269,693 | MDU6SXNzdWU3NzIyNjk2OTM= | 9,235 | run_mlm.py crashes when saving model checkpoint | {
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"We don't have your tokenizer, so the reproducer you give us does not work. I tried on my side to run the same command with a saved tokenizer and a saved config file and it works without any trouble.\r\n\r\n> Moreover, it's completely unnecessary to save the tokenizer in trainer.py, as the tokenizer is already trai... | 1,608 | 1,614 | 1,614 | NONE | null | ## Environment info
- `transformers` version: 4.0.1
- Platform: Google Cloud
- Python version: 3.6.10
- PyTorch version (GPU?): 1.7
- Tensorflow version (GPU?):
- Using GPU in script?: NO. Using TPU
- Using distributed or parallel set-up in script?: YES
### Who can help
@LysandreJik @mfuntowicz @sgugger... | {
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https://api.github.com/repos/huggingface/transformers/issues/9234 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9234/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9234/comments | https://api.github.com/repos/huggingface/transformers/issues/9234/events | https://github.com/huggingface/transformers/pull/9234 | 772,139,778 | MDExOlB1bGxSZXF1ZXN0NTQzNDYwNjM1 | 9,234 | Fix TF template | {
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Fix the TF template for the new einsum dense layer. | {
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https://api.github.com/repos/huggingface/transformers/issues/9233 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9233/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9233/comments | https://api.github.com/repos/huggingface/transformers/issues/9233/events | https://github.com/huggingface/transformers/pull/9233 | 772,085,090 | MDExOlB1bGxSZXF1ZXN0NTQzNDE5NDE4 | 9,233 | [MPNet] Add slow to fast tokenizer converter | {
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<!--
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Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
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https://api.github.com/repos/huggingface/transformers/issues/9232 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9232/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9232/comments | https://api.github.com/repos/huggingface/transformers/issues/9232/events | https://github.com/huggingface/transformers/issues/9232 | 772,081,249 | MDU6SXNzdWU3NzIwODEyNDk= | 9,232 | command line_by_line missing in https://github.com/huggingface/transformers/tree/master/examples/language-modeling | {
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"Pinging @sgugger here - think he knows `run_clm.py` best",
"`run_clm` does not have the `line_by_line` option as it doesn't make sense for causal language modeling: pretraining for causal language modeling is done by concatenating all available texts separated by a special token, then building sequences of a cer... | 1,608 | 1,650 | 1,614 | NONE | null | ## Environment info
- `transformers` version: 3.5.0
- Platform: macOS-10.16-x86_64-i386-64bit
- Python version: 3.8.6
- PyTorch version (GPU?): 1.7.0 (False)
- Tensorflow version (GPU?): not installed (NA)
- Using GPU in script?: <fill in>
- Using distributed or parallel set-up in script?: <fill in>
### Who c... | {
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https://api.github.com/repos/huggingface/transformers/issues/9231 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9231/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9231/comments | https://api.github.com/repos/huggingface/transformers/issues/9231/events | https://github.com/huggingface/transformers/pull/9231 | 772,013,281 | MDExOlB1bGxSZXF1ZXN0NTQzMzYxMjEx | 9,231 | [T5] Fix warning for changed EncDec Attention Bias weight | {
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In the following, this layer was added to the wrong "ignore_weight" list. This weight will never be missing since it doesn't exist in the model anymore it can only be... | {
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https://api.github.com/repos/huggingface/transformers/issues/9230 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/9230/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/9230/comments | https://api.github.com/repos/huggingface/transformers/issues/9230/events | https://github.com/huggingface/transformers/pull/9230 | 771,946,388 | MDExOlB1bGxSZXF1ZXN0NTQzMzA3Mzcy | 9,230 | add base model classes to bart subclassed models | {
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This PR adds base model classes for `MBart`, `Pegasus` and `Blenderbot`, and adds these in `MODEL_MAPPING` `dict`.
This will enable to load these models using the `AutoModel` class and `pipelines`.
Right now these models can't be loaded using `pipeline` since pipeline relies on the `AutoM... | {
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