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https://api.github.com/repos/huggingface/transformers/issues/15963 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15963/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15963/comments | https://api.github.com/repos/huggingface/transformers/issues/15963/events | https://github.com/huggingface/transformers/pull/15963 | 1,161,060,822 | PR_kwDOCUB6oc40Bl-U | 15,963 | Speedup T5 Flax training by using Numpy instead of JAX for batch shuffling | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_15963). All of your documentation changes will be reflected on that endpoint.",
"Think I'm in favor of this. However could we also set a numpy random seed in the script to make the runs reproducible? \r\n\r\ncc @patil-suraj... | 1,646 | 1,646 | 1,646 | CONTRIBUTOR | null | # What does this PR do?
The example Flax T5 MLM script was modified to not use JAX for batch shuffling.
With this change, training time per step decreased from 0.246 s to 0.185 s, a speedup of 1.3 (t5-base model trained on TPU v3-8 VM, batch size 64, Adafactor optimizer).
Shuffling on CPU also prevents using m... | {
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https://api.github.com/repos/huggingface/transformers/issues/15962 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15962/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15962/comments | https://api.github.com/repos/huggingface/transformers/issues/15962/events | https://github.com/huggingface/transformers/issues/15962 | 1,161,013,209 | I_kwDOCUB6oc5FM6fZ | 15,962 | longformer-large's hidden_states and last_hidden_states have different size in sequence_length | {
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"sorry,should be the hidden_states[-1].shape and last_hidden_states.shape",
"Hi @ddf62 ! Could you post a shot code snippet so we can reproduce this ? Thanks!",
"```python\r\n\r\nclass MyModel(tez.Model):\r\n def __init__(self, freeze_bert=False, model_name='longformer-large', hidden_size=1024, num_classes=2... | 1,646 | 1,646 | 1,646 | 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:
- Python version: 3.7
- PyTorch version (GPU?): GPU
- Tensorflow version (GPU?):
- Using GPU ... | {
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https://api.github.com/repos/huggingface/transformers/issues/15961 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15961/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15961/comments | https://api.github.com/repos/huggingface/transformers/issues/15961/events | https://github.com/huggingface/transformers/pull/15961 | 1,160,980,439 | PR_kwDOCUB6oc40BVF- | 15,961 | Seed _get_train_sampler's generator with arg seed to improve reproducibility | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_15961). All of your documentation changes will be reflected on that endpoint.",
"No. As mentioned in the other issues, this code is intended to be this way. The torch RNG has been seeded so this is completely deterministic.... | 1,646 | 1,646 | 1,646 | CONTRIBUTOR | null | ... and make the world_size<=1 code path more similar to the others
# What does this PR do?
Seed the generator that is (sometimes) used in _get_train_sampler with self.args.seed to improve reproducibility/control over randomness.
https://github.com/huggingface/transformers/pull/11582/files introduced using tor... | {
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https://api.github.com/repos/huggingface/transformers/issues/15960 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15960/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15960/comments | https://api.github.com/repos/huggingface/transformers/issues/15960/events | https://github.com/huggingface/transformers/issues/15960 | 1,160,975,634 | I_kwDOCUB6oc5FMxUS | 15,960 | How to get T5 encoder&decoder's hidden states and keep requires_grad=True | {
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4.15.0
Hi! I am making a custom T5 generation model, and I have some problems. In my model, I want to take out the decoder's last hidden states and encoder's last hidden states to do some other operations, and these operations will be used to fine-tune the encoder and decoder. So I need last_h... | {
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https://api.github.com/repos/huggingface/transformers/issues/15959 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15959/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15959/comments | https://api.github.com/repos/huggingface/transformers/issues/15959/events | https://github.com/huggingface/transformers/issues/15959 | 1,160,968,771 | I_kwDOCUB6oc5FMvpD | 15,959 | ValueError: DebertaV2Model does not support gradient checkpointing. | {
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"Hi,\r\n\r\nDebertaV2 supports gradient checkpointing as per #14175.\r\n\r\nCan you provide a code snippet to reproduce your issue?",
"`config = AutoConfig.from_pretrained(model_name)\r\n\r\n config.update(\r\n {\r\n \"gradient_checkpointing\":True,\r\n \"output_hid... | 1,646 | 1,650 | 1,650 | NONE | null | ValueError: DebertaV2Model does not support gradient checkpointing! | {
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https://api.github.com/repos/huggingface/transformers/issues/15958 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15958/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15958/comments | https://api.github.com/repos/huggingface/transformers/issues/15958/events | https://github.com/huggingface/transformers/issues/15958 | 1,160,892,224 | I_kwDOCUB6oc5FMc9A | 15,958 | Blenderbot 1.0B Distilled eats up memory over many inferences | {
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"It's hard to say anything without looking at the code. Also for such general question, [forum](https://discuss.huggingface.co/) would be the best place to ask. Thank you!",
"Hi, thank you! I'll definitely post in the forum. Also some extra information, the inferences work for the first few hundred posts, but the... | 1,646 | 1,650 | 1,650 | NONE | null | Hi, I've noticed that over the course of many inferences, the Blenderbot 1.0B Distilled model continuously allocates GPU memory and eventually causes the GPU to crash. My project only uses single-turn inferences, and I was wondering how to prevent Blenderbot from continuously allocating memory. Thanks
<img width="120... | {
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https://api.github.com/repos/huggingface/transformers/issues/15957 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15957/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15957/comments | https://api.github.com/repos/huggingface/transformers/issues/15957/events | https://github.com/huggingface/transformers/issues/15957 | 1,160,872,387 | I_kwDOCUB6oc5FMYHD | 15,957 | mBART tokenizer not following expected target token order | {
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"Hey @zijwang ! Thank you for reporting this.\r\n\r\nHere actually the doc is wrong. Here the target tokens actually refer to `decoder_input_ids` for which the format should be\r\n`[tgt_lang_code] x [eos]`\r\n\r\nBut it's not required to directly pass `decoder_input_ids`, we can instead just pass `labels` which is... | 1,646 | 1,650 | 1,650 | 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: 4.17
- Platform: linux
- Python version: 3.8.12
- PyTorch version (GPU?): 1.10.2+cu113
- Tensorflow version... | {
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"cc @SaulLu ",
"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/main/C... | 1,646 | 1,657 | 1,657 | CONTRIBUTOR | null | input example:
```python
tok_ids = [ 101, 2632, 1011, 7110, 1010, 2142, 5424, 14041, 2727, 1011, 2260, 1011, 5757, 102, 0]
```
if we do decode
```python
tokenizer = BertTokenizer.from_pretrained("bert-base-uncased")
tokenizer.decode(tok_ids, clean_up_tokenization_spaces=False)
# output is
'... | {
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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/main/CONTRIBUTING.md) a... | 1,646 | 1,650 | 1,650 | NONE | null | I am following the instructions mentioned in the below page to run PPLM examples. Unfortunately the code is throwing error.
PPLM Page : https://github.com/huggingface/transformers/tree/master/examples/research_projects/pplm
**Environment:**
Python 3.9.7
pytorch-lightning==1.0.4
Error Log:
```
python r... | {
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https://api.github.com/repos/huggingface/transformers/issues/15954 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15954/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15954/comments | https://api.github.com/repos/huggingface/transformers/issues/15954/events | https://github.com/huggingface/transformers/pull/15954 | 1,160,597,378 | PR_kwDOCUB6oc40AH9c | 15,954 | Make is_thing_map in Feature Extractor post_process_panoptic_segmentation defaults to all instances | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_15954). All of your documentation changes will be reflected on that endpoint.",
"> Not particularly fond of the names `thing` vs `stuff` but I imagine this is the standards ?\r\n\r\nMore or less :) \r\n",
"Thanks @Narsil ... | 1,646 | 1,646 | 1,646 | CONTRIBUTOR | null | # What does this PR do?
Following a discussion with @Narsil , argument `is_thing_map` in `FeatureExtractor.post_process_panoptic_segmentation` will default to consider all instances `thing`. Thus, it won't perform instances merging.
The user should always provide a correct `is_thing_map` if he wants to merge ins... | {
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https://api.github.com/repos/huggingface/transformers/issues/15953 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15953/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15953/comments | https://api.github.com/repos/huggingface/transformers/issues/15953/events | https://github.com/huggingface/transformers/pull/15953 | 1,160,455,540 | PR_kwDOCUB6oc4z_t_9 | 15,953 | add simple multi gpu complet | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_15953). All of your documentation changes will be reflected on that endpoint."
] | 1,646 | 1,646 | 1,646 | CONTRIBUTOR | null | # What does this PR do?
Multi-GPU evaluation
<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_15952). All of your documentation changes will be reflected on that endpoint."
] | 1,646 | 1,646 | 1,646 | COLLABORATOR | null | # What does this PR do?
This PR set `scale_embedding=False` in `TFSpeech2TextModelTester` to avoid `inputs_embeds` and the PT/TF difference being scaled by 4 - the objective is to keep a low tolerance `1e-5` in the PT/TF test, as we see several times this is a strong safe guard!
(This is not a real bug. It's also... | {
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https://api.github.com/repos/huggingface/transformers/issues/15951 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15951/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15951/comments | https://api.github.com/repos/huggingface/transformers/issues/15951/events | https://github.com/huggingface/transformers/pull/15951 | 1,160,376,472 | PR_kwDOCUB6oc4z_fZK | 15,951 | Support modern list type hints in HfArgumentParser | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_15951). All of your documentation changes will be reflected on that endpoint."
] | 1,646 | 1,646 | 1,646 | CONTRIBUTOR | null | # What does this PR do?
Support modern list type hint syntax ([PEP 585](https://www.python.org/dev/peps/pep-0585/), introduced in Python 3.9) in the HfArgumentParser. This change keeps backwards compatibility, e.g. the old `typing.List[...]` works just as well as the newer `list[...]`.
Fixes #15950
## Befor... | {
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https://api.github.com/repos/huggingface/transformers/issues/15950 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15950/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15950/comments | https://api.github.com/repos/huggingface/transformers/issues/15950/events | https://github.com/huggingface/transformers/issues/15950 | 1,160,372,827 | I_kwDOCUB6oc5FKeJb | 15,950 | HfArgumentParser doesn't recognize new list type hint syntax | {
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"I was able to pretty easily find the relevant piece of code and submitted a PR to fix it #15951 "
] | 1,646 | 1,646 | 1,646 | CONTRIBUTOR | null | Since Python 3.9 we can use generic types as type hints (e.g. `list[str]` instead of `typing.List[str]`), see also [PEP 585](https://www.python.org/dev/peps/pep-0585/). Currently this does not seem to work with the `HfArgumentParser`, but using the old `typing.List[str]` works.
Minimal example for an arguments data ... | {
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https://api.github.com/repos/huggingface/transformers/issues/15949 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15949/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15949/comments | https://api.github.com/repos/huggingface/transformers/issues/15949/events | https://github.com/huggingface/transformers/pull/15949 | 1,160,292,880 | PR_kwDOCUB6oc4z_Phl | 15,949 | [Tests] Fix ViTMAE integration test | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_15949). All of your documentation changes will be reflected on that endpoint."
] | 1,646 | 1,646 | 1,646 | CONTRIBUTOR | null | # What does this PR do?
This PR fixes the integration test of ViTMAE, which only passed on CPU.
ViTMAE uses randomness inside (it creates a random boolean mask to indicate which patches to mask). I used `torch.manual_seed(2)` to make this deterministic, however I [learned](https://discuss.pytorch.org/t/random-see... | {
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https://api.github.com/repos/huggingface/transformers/issues/15948 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15948/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15948/comments | https://api.github.com/repos/huggingface/transformers/issues/15948/events | https://github.com/huggingface/transformers/issues/15948 | 1,160,273,113 | I_kwDOCUB6oc5FKFzZ | 15,948 | is_index_masked and is_index_global_attn in Longformer | {
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"cc @patrickvonplaten ",
"Hey @lightxu,\r\n\r\nWhat we usually do in `transformers` is to convert an attention_mask which looks like:\r\n\r\n```python\r\nattention_mask = [[1, 1, 1, 1], [1, 0, 0, 0]]\r\n```\r\n\r\nto something like:\r\n\r\n```python\r\nattention_mask = torch.broadcast_to([[0.0, 0.0, 0.0, 0.0], [0... | 1,646 | 1,646 | 1,646 | NONE | null | I noticed that in [LongformerEncoder](https://github.com/huggingface/transformers/blob/master/src/transformers/models/longformer/modeling_longformer.py#L1255), is_index_masked and is_index_global_attn is set like this:
```
is_index_masked = attention_mask < 0
is_index_global_attn = attention_mask > 0
```
Can a... | {
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https://api.github.com/repos/huggingface/transformers/issues/15947 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15947/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15947/comments | https://api.github.com/repos/huggingface/transformers/issues/15947/events | https://github.com/huggingface/transformers/issues/15947 | 1,160,254,585 | I_kwDOCUB6oc5FKBR5 | 15,947 | Tranformers documentation translation to Spanish | {
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"Hi, I can do the translation of **quicktour.mdx** in two days at the latest. ",
"I'll translate \"Fine-tune a pretrained model\" into Spanish to file [training.mdx](https://github.com/huggingface/transformers/blob/master/docs/source/training.mdx).",
"Thanks, @Duedme and @yharyarias! That would be great. Please... | 1,646 | 1,701 | 1,701 | CONTRIBUTOR | null | Hi!
Let's bring the documentation to all the Spanish-speaking community :)
Who would want to translate? **Please follow the instructions in the [Translating guide](https://github.com/huggingface/transformers/blob/main/docs/TRANSLATING.md)**. Here is a list of the files ready for translation. Let us know here if y... | {
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https://api.github.com/repos/huggingface/transformers/issues/15946 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15946/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15946/comments | https://api.github.com/repos/huggingface/transformers/issues/15946/events | https://github.com/huggingface/transformers/pull/15946 | 1,160,156,128 | PR_kwDOCUB6oc4z-zz1 | 15,946 | [HELP NEEDED] Use target tokenizer for all functionality in target side | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_15946). All of your documentation changes will be reflected on that endpoint.",
"Hi @AmitMY ,\r\n\r\nI am not 100% sure not knowing all the internals here, but it's pretty frequent that researchers add code on top of SPM an... | 1,646 | 1,650 | 1,650 | NONE | null | # What does this PR do?
When using the MarianTokenizer with a different source and target SPMs, it is expected to get the length of the target vocabulary when performing:
```python
with tokenizer.as_target_tokenizer():
print(len(tokenizer))
```
Along with the expectation to be able to get the target vocabul... | {
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https://api.github.com/repos/huggingface/transformers/issues/15945 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15945/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15945/comments | https://api.github.com/repos/huggingface/transformers/issues/15945/events | https://github.com/huggingface/transformers/issues/15945 | 1,160,076,690 | I_kwDOCUB6oc5FJV2S | 15,945 | Unable to run run_glue.py offline | {
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"You need to set the env variable `HF_DATASETS_OFFLINE=1 TRANSFORMERS_OFFLINE=1` to be able to use the libraries in offline mode, as pointed out in the [documentation](https://huggingface.co/docs/transformers/installation#offline-mode)",
"@sgugger thanks for the blazing fast response! I forgot to add that I set `... | 1,646 | 1,646 | 1,646 | NONE | null | ## Environment info
An host without internet access but with ~/.cache/huggingface pre-populated
### Who can help
@sgugger @LysandreJik @SaulLu
## Information
Model I am using (Bert, XLNet ...):
```
--model_name_or_path bert-base-uncased --task_name mrpc --do_train --output_dir /home/jobuser/output_bart_t... | {
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https://api.github.com/repos/huggingface/transformers/issues/15944 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15944/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15944/comments | https://api.github.com/repos/huggingface/transformers/issues/15944/events | https://github.com/huggingface/transformers/pull/15944 | 1,160,025,957 | PR_kwDOCUB6oc4z-Yo9 | 15,944 | TF generate refactor - past without encoder outputs | {
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"Let's merge this? cc @Rocketknight1 ?"
] | 1,646 | 1,647 | 1,646 | MEMBER | null | # What does this PR do?
As discussed in the original TF generate refactor plan (https://github.com/huggingface/transformers/pull/15562), removes the `encoder_outputs` from `past`. In practice, these changes consist mostly in:
1. Delete the lines flagged by Patrick;
2. Adapt `prepare_inputs_for_generation` and `_re... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_15943). All of your documentation changes will be reflected on that endpoint."
] | 1,646 | 1,646 | 1,646 | NONE | null | # What does this PR do?
When using the MarianTokenizer with a different source and target SPMs, it is expected to get the length of the target vocabulary when performing:
```python
with tokenizer.as_target_tokenizer():
print(len(tokenizer))
```
This PR introduces a minimal change to get the correct size d... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_15942). All of your documentation changes will be reflected on that endpoint."
] | 1,646 | 1,646 | 1,646 | CONTRIBUTOR | null | # What does this PR do?
This PR changes the configuration inside `tests/maskformer/test_modeling_maskformer.py::MaskFormerModelTest` creating a smaller model to make the test run faster | {
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] | 1,646 | 1,646 | 1,646 | CONTRIBUTOR | null | # What does this PR do?
This PR moves the `requires_backends` to the call method instead of the init of `LayoutLMv2FeatureExtractor`.
Fixes #15269 | {
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https://api.github.com/repos/huggingface/transformers/issues/15940 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15940/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15940/comments | https://api.github.com/repos/huggingface/transformers/issues/15940/events | https://github.com/huggingface/transformers/pull/15940 | 1,159,791,919 | PR_kwDOCUB6oc4z9nsU | 15,940 | Override _pad in LEDTokenizer to deal with global_attention_mask | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"## Results before/after this PR\r\n\r\n```python\r\nimport numpy as np\r\nfrom transformers import LEDTokenizer, LEDTokenizerFast\r\n\r\ntokenizer_slow = LEDTokenizer.from_pretrained(\"allenai/led-base-16384\")\r\ntokenizer_fast = LE... | 1,646 | 1,647 | 1,647 | COLLABORATOR | null | # What does this PR do?
Fix #14648. This PR allows `LEDTokenizer._pad` to treat `global_attention_mask` if it is provided in `encoded_inputs`.
Without this, `global_attention_mask` won't be padded, while other tensors will be padded (if users specify padding), and causes the following error (if `return_tensors` ... | {
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https://api.github.com/repos/huggingface/transformers/issues/15939 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15939/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15939/comments | https://api.github.com/repos/huggingface/transformers/issues/15939/events | https://github.com/huggingface/transformers/pull/15939 | 1,159,675,055 | PR_kwDOCUB6oc4z9O8L | 15,939 | Fix LayoutLMv2 test | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_15939). All of your documentation changes will be reflected on that endpoint."
] | 1,646 | 1,646 | 1,646 | CONTRIBUTOR | null | # What does this PR do?
This PR fixes a failing LayoutLMv2 test, `test_torch_encode_plus_sent_to_model`.
It also removes `requires_scatter`, because LayoutLMv2 doesn't depend on it. | {
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https://api.github.com/repos/huggingface/transformers/issues/15938 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15938/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15938/comments | https://api.github.com/repos/huggingface/transformers/issues/15938/events | https://github.com/huggingface/transformers/pull/15938 | 1,159,612,290 | PR_kwDOCUB6oc4z9BcX | 15,938 | Backprop Test for Freeze FlaxWav2Vec2 Feature Encoder | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_15938). All of your documentation changes will be reflected on that endpoint.",
"If @patil-suraj is happy with this test I'll merge!"
] | 1,646 | 1,646 | 1,646 | CONTRIBUTOR | null | This PR correctly implements a back propagation test to verify the functionality of the `freeze_feature_encoder` argument added to the FlaxWav2Vec2 Model in #15873. It tests:
1. That the computed loss for the frozen feature encoder model and unfrozen model are **equal**.
2. That the gradients of the frozen feature ... | {
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https://api.github.com/repos/huggingface/transformers/issues/15937 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15937/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15937/comments | https://api.github.com/repos/huggingface/transformers/issues/15937/events | https://github.com/huggingface/transformers/pull/15937 | 1,159,540,333 | PR_kwDOCUB6oc4z8yI4 | 15,937 | Add `ForInstanceSegmentation` models to `image-segmentation` pipelines | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_15937). All of your documentation changes will be reflected on that endpoint."
] | 1,646 | 1,646 | 1,646 | CONTRIBUTOR | null | # What does this PR do?
Add `ForInstanceSegmentation` models to `image-segmentation` pipelines
- Requires: https://github.com/huggingface/transformers/pull/15936
- Requires: https://github.com/huggingface/transformers/pull/15934
Marking it as draft in the meantime.
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https://api.github.com/repos/huggingface/transformers/issues/15936 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15936/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15936/comments | https://api.github.com/repos/huggingface/transformers/issues/15936/events | https://github.com/huggingface/transformers/pull/15936 | 1,159,494,885 | PR_kwDOCUB6oc4z8oiB | 15,936 | Returning outputs only when asked for for MaskFormer. | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_15936). All of your documentation changes will be reflected on that endpoint."
] | 1,646 | 1,646 | 1,646 | CONTRIBUTOR | null | # What does this PR do?
Change the return output from `()` to `None` which seems more aligned with
the rest of the library.
Also `auxiliary_logits` seem optional and don't seem to be used by the feature
extractor, so this PR makes them optional too.
Note: I couldn't test the modeling tests, there seem to be ... | {
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https://api.github.com/repos/huggingface/transformers/issues/15935 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15935/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15935/comments | https://api.github.com/repos/huggingface/transformers/issues/15935/events | https://github.com/huggingface/transformers/issues/15935 | 1,159,464,731 | I_kwDOCUB6oc5FHAcb | 15,935 | parm:logging_dir not works when | {
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"How do you launch the script? In particular if you launch it from another directory, the logging dir will appear there.",
"thanks very much,I found it is because I launch the script with Environment without Tensorflow installed(by the way, I get no warning about this during the process, haha)",
"I have same pr... | 1,646 | 1,650 | 1,650 | 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:4.16.2
- Platform:linux
- Python version:3.7.11
- PyTorch version (GPU?):1.10.2 GPU
- Tensorflow version (GP... | {
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https://api.github.com/repos/huggingface/transformers/issues/15934 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15934/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15934/comments | https://api.github.com/repos/huggingface/transformers/issues/15934/events | https://github.com/huggingface/transformers/pull/15934 | 1,159,448,785 | PR_kwDOCUB6oc4z8ew9 | 15,934 | Adding `MODEL_FOR_INSTANCE_SEGMENTATION_MAPPING` | {
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Adding `MODEL_FOR_INSTANCE_SEGMENTATION_MAPPING`
with MaskFormerForInstanceSegmentation in it.
And `AutoModelForInstanceSegmentation`.
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"Hi,\r\n\r\nYou may need to upgrade to PyTorch 1.10 for this to work.",
"Sorry i'm new in nlp, I changed the pytorch to 1.10 and it comes another problem.\r\n\r\nSome weights of the model checkpoint at dandelin/vilt-b32-mlm were not used when initializing ViltModel: ['mlm_score.transform.LayerNorm.bias', 'mlm_sco... | 1,646 | 1,646 | 1,646 | NONE | null | when i tried to run the example given in ViLTModel below. I encountered problem"TypeError: meshgrid() got an unexpected keyword argument 'indexing'"
`from transformers import ViltProcessor, ViltModel
from PIL import Image
import requests
url = "http://images.cocodataset.org/val2017/000000039769.jpg"
image = ... | {
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https://api.github.com/repos/huggingface/transformers/issues/15932 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15932/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15932/comments | https://api.github.com/repos/huggingface/transformers/issues/15932/events | https://github.com/huggingface/transformers/pull/15932 | 1,159,193,412 | PR_kwDOCUB6oc4z7qVU | 15,932 | Update comments in class BatchEncoding | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,646 | 1,648 | 1,648 | CONTRIBUTOR | null | # What does this PR do?
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] | 1,646 | 1,646 | 1,646 | MEMBER | null | This PR updates the [Examples](https://huggingface.co/docs/transformers/examples) docs with examples for running a training script on distributed setups, with mixed precision, TPUs and Accelerate. It also adds examples for helpful options like using your own custom dataset, resume training from a checkpoint, and upload... | {
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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/main/CONTRIBUTING.md) a... | 1,646 | 1,655 | null | COLLABORATOR | null | ## A collection of issues for `generate()` method that we need to address
(**I don't assign these issues to anyone yet. I might work on some of these later. The purpose here is to make these issues transparent to the community, and to serve as a TODO list so we won't forget.**)
As an extension to the model equiva... | {
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https://api.github.com/repos/huggingface/transformers/issues/15929 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15929/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15929/comments | https://api.github.com/repos/huggingface/transformers/issues/15929/events | https://github.com/huggingface/transformers/pull/15929 | 1,158,822,476 | PR_kwDOCUB6oc4z6aVi | 15,929 | Tests for MaskFormerFeatureExtractor's post_process*** methods | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_15929). All of your documentation changes will be reflected on that endpoint."
] | 1,646 | 1,646 | 1,646 | CONTRIBUTOR | null | # What does this PR do?
This PR adds more tests for `MaskFormerFeatureExtractor` `post_process***` methods | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_15928). All of your documentation changes will be reflected on that endpoint.",
"Yes, that's enforced in all the model outputs. The `past_index` is not going to temper with that :-)\r\nThanks a lot for fixing!"
] | 1,646 | 1,646 | 1,646 | CONTRIBUTOR | null | Fixes #15898
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/master/CONTRIBUTING.md#start-contributing-pull-requests),
Pull Request sect... | {
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"cc @LysandreJik @Narsil This relates to things we talked about internally.\r\n\r\nI agree with the first point, the second and third point deserve their debate so thank you for writing this issue!\r\n\r\nFor the fourth point, the situation is a bit more complicated as every user would need to download the whole re... | 1,646 | 1,649 | 1,649 | CONTRIBUTOR | null | I decided to add this after commenting on https://github.com/deepset-ai/haystack/issues/2118
### Who can help
@sgugger
## Information
The problem arises when using:
* [x] the official example scripts: (give details below)
* [x] my own modified scripts: (give details below)
The tasks I am working on is:... | {
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https://api.github.com/repos/huggingface/transformers/issues/15926 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15926/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15926/comments | https://api.github.com/repos/huggingface/transformers/issues/15926/events | https://github.com/huggingface/transformers/pull/15926 | 1,158,725,117 | PR_kwDOCUB6oc4z6Flq | 15,926 | Update doc test readme | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_15926). All of your documentation changes will be reflected on that endpoint.",
"> Thanks, for some reason it passed for me for the xxxForMaskedImageModeling models without doing this trick\r\n\r\nThere was another problem ... | 1,646 | 1,646 | 1,646 | MEMBER | null | # What does this PR do?
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"Thanks for this! I think we can actually remove the first `multilingual` page since it is outdated now. On a related note, can we also remove the `custom_datasets` [page](https://huggingface.co/docs/transformers/master/en/custom_datasets) since it has also been replaced by the fine-tune for downstream tasks sectio... | 1,646 | 1,649 | 1,649 | CONTRIBUTOR | null | `local` field in toctree is treated as an id; therefore, it has to be unique. Because of this, in https://huggingface.co/docs/transformers/multilingual, you cannot reach the second `multilingual` page
I will work on the doc-builder that checks locals are unique;
[line here](https://github.com/huggingface/transfor... | {
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] | 1,646 | 1,646 | 1,646 | CONTRIBUTOR | null | # What does this PR do?
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_15923). All of your documentation changes will be reflected on that endpoint.",
"closing in favor of https://github.com/huggingface/transformers/pull/15937"
] | 1,646 | 1,646 | 1,646 | CONTRIBUTOR | null | # What does this PR do?
Changing the goal of this PR.
I'll split this PR into more manageable chunks instead:
- Adding the AutoDicts : https://github.com/huggingface/transformers/pull/15934
- Making modifications for FeatureExtractor https://github.com/huggingface/transformers/pull/15916
- Making modificatio... | {
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https://api.github.com/repos/huggingface/transformers/issues/15922 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15922/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15922/comments | https://api.github.com/repos/huggingface/transformers/issues/15922/events | https://github.com/huggingface/transformers/pull/15922 | 1,158,557,592 | PR_kwDOCUB6oc4z5h5_ | 15,922 | Do a pull in case docs were updated during build | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_15922). All of your documentation changes will be reflected on that endpoint."
] | 1,646 | 1,646 | 1,646 | COLLABORATOR | null | # What does this PR do?
Now that the build of the documentation takes a long time, it can happen that the doc has changed when trying to update the doc-build repo in the case of a release (for instance there was a failure with the v4.17.0 release doc update since the master doc was updated during its build).
This P... | {
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https://api.github.com/repos/huggingface/transformers/issues/15921 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15921/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15921/comments | https://api.github.com/repos/huggingface/transformers/issues/15921/events | https://github.com/huggingface/transformers/pull/15921 | 1,158,552,432 | PR_kwDOCUB6oc4z5gzq | 15,921 | Simplify release utils | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,646 | 1,646 | 1,646 | COLLABORATOR | null | # What does this PR do?
This removes parts of the release util script that are now obsolete. | {
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https://api.github.com/repos/huggingface/transformers/issues/15920 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15920/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15920/comments | https://api.github.com/repos/huggingface/transformers/issues/15920/events | https://github.com/huggingface/transformers/pull/15920 | 1,158,542,401 | PR_kwDOCUB6oc4z5eqc | 15,920 | Fix Embedding Module Bug in Flax Models | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_15920). All of your documentation changes will be reflected on that endpoint.",
"@sanchit-gandhi thanks for the PR - could you add a code snippet that shows how this design leads to an error? Not a big fan in general of add... | 1,646 | 1,646 | 1,646 | CONTRIBUTOR | null | This PR fixes a widespread bug relating to the way in which Embedding Modules are defined for a number of different Flax Modules. In all of these instances, `embed_tokens` is defined as an optional `nn.Embed` attribute in the corresponding Flax Module:
https://github.com/huggingface/transformers/blob/b693cbf99c5a180dd... | {
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https://api.github.com/repos/huggingface/transformers/issues/15919 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15919/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15919/comments | https://api.github.com/repos/huggingface/transformers/issues/15919/events | https://github.com/huggingface/transformers/issues/15919 | 1,158,511,478 | I_kwDOCUB6oc5FDXt2 | 15,919 | camembert tokinizer | {
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"Make sure you install `sentencepiece`!",
"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/huggingfa... | 1,646 | 1,649 | 1,649 | NONE | null | # Initialize CamemBERT tokenizer
tokenizer=CamembertTokenizer.from_pretrained('camembert-base',do_lower_case=True)
TypeError: 'NoneType' object is not callable | {
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https://api.github.com/repos/huggingface/transformers/issues/15918 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15918/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15918/comments | https://api.github.com/repos/huggingface/transformers/issues/15918/events | https://github.com/huggingface/transformers/pull/15918 | 1,158,490,242 | PR_kwDOCUB6oc4z5Tiq | 15,918 | Do not change the output from tuple to list - to match PT's version | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_15918). All of your documentation changes will be reflected on that endpoint.",
"I can't think of any general TF reason to prefer lists to tuples, so if the tests pass and nothing broke then LGTM!",
"Would like to hear fr... | 1,646 | 1,646 | 1,646 | COLLABORATOR | null | # What does this PR do?
Current `TFPegasusDecoder` change `all_self_attns` and `all_cross_attns` from `tuple` to `list` before return the outputs:
https://github.com/huggingface/transformers/blob/3c4fbc616f74120c3900d07c772b7d2d9c7a53dd/src/transformers/models/pegasus/modeling_tf_pegasus.py#L1061-L1065
Pytorch... | {
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https://api.github.com/repos/huggingface/transformers/issues/15917 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15917/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15917/comments | https://api.github.com/repos/huggingface/transformers/issues/15917/events | https://github.com/huggingface/transformers/pull/15917 | 1,158,462,514 | PR_kwDOCUB6oc4z5NtD | 15,917 | Enabling MaskFormer in pipelines | {
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"I'll go ahead and merge this, and create another PR for the dict."
] | 1,646 | 1,646 | 1,646 | CONTRIBUTOR | null | # What does this PR do?
Enabling MaskFormer in pipelines.
```python
pipeline = pipeline(
model=MaskFormerForInstanceSegmentation.from_pretrained(".."),
feature_extractor=AutoFeatureExtractor.from_pretrained("..."),
task="image-segmentation",
)
```
However `pipeline(model="...")` doesn't work yet:
- We n... | {
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https://api.github.com/repos/huggingface/transformers/issues/15916 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15916/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15916/comments | https://api.github.com/repos/huggingface/transformers/issues/15916/events | https://github.com/huggingface/transformers/pull/15916 | 1,158,457,504 | PR_kwDOCUB6oc4z5MpH | 15,916 | Minor fixes for MaskFormer | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_15916). All of your documentation changes will be reflected on that endpoint."
] | 1,646 | 1,646 | 1,646 | CONTRIBUTOR | null | # What does this PR do?
Fix a bug found by @Narsil in the `feature_extractor.post_process_panoptic_segmentation` | {
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https://api.github.com/repos/huggingface/transformers/issues/15915 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15915/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15915/comments | https://api.github.com/repos/huggingface/transformers/issues/15915/events | https://github.com/huggingface/transformers/pull/15915 | 1,158,448,747 | PR_kwDOCUB6oc4z5Kzw | 15,915 | Maskformer | {
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Fix a bug found by @Narsil in the `feature_extractor.post_process_panoptic_segmentation` | {
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https://api.github.com/repos/huggingface/transformers/issues/15914 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15914/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15914/comments | https://api.github.com/repos/huggingface/transformers/issues/15914/events | https://github.com/huggingface/transformers/issues/15914 | 1,158,442,359 | I_kwDOCUB6oc5FDG13 | 15,914 | query() of generator `max_length` being succeeded | {
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"Hi @danielbellhv ,\r\n\r\nThis is actually working as intended.\r\n`max_length` is expressed in number of tokens (which is not necessarily obvious I admit).\r\n\r\nFirst of all I would recommend using `max_new_tokens=200` which are the number of \"additional\" tokens which is easier for you to control. `max_length... | 1,646 | 1,646 | 1,646 | 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: Visual Studio Code, Windows 10, WSL 2 Bash
- Python version: 3.8.8
- PyTorch CUDA: 10.2
### W... | {
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https://api.github.com/repos/huggingface/transformers/issues/15913 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15913/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15913/comments | https://api.github.com/repos/huggingface/transformers/issues/15913/events | https://github.com/huggingface/transformers/pull/15913 | 1,158,385,039 | PR_kwDOCUB6oc4z49N6 | 15,913 | Support CLIPTokenizerFast for CLIPProcessor | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_15913). All of your documentation changes will be reflected on that endpoint."
] | 1,646 | 1,646 | 1,646 | CONTRIBUTOR | null | # What does this PR do?
Fixes #15888
Support CLIPTokenizerFast for CLIPProcessor.
Update CLIPProcessor test code for saving and loading CLIPProcessor with fast tokenizer.
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did yo... | {
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https://api.github.com/repos/huggingface/transformers/issues/15912 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15912/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15912/comments | https://api.github.com/repos/huggingface/transformers/issues/15912/events | https://github.com/huggingface/transformers/pull/15912 | 1,158,380,695 | PR_kwDOCUB6oc4z48Tg | 15,912 | [WIP]Resnet with variants | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_15912). All of your documentation changes will be reflected on that endpoint.",
"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... | 1,646 | 1,650 | 1,650 | CONTRIBUTOR | null | # What does this PR do?
This PR shows how including the required changes to make `resnet-d` variant look but also to quickly decide to use one embedding type over another.
Usage:
```python
# normal embeddings
config = ResNetConfig(embedding_type='basic')
# embeddings is replace by 3 3x3 convs
config = ResNet... | {
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## Model description
The Flax version of RoBERTa and PyTorch and TF XLM-RoBERTa have been there for a while, but some pieces were missing that prevented us from doing pre-training and other tasks on Flask XLM-RoBERTa. In this PR #15900, I am adding those parts that were n... | {
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https://api.github.com/repos/huggingface/transformers/issues/15909 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15909/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15909/comments | https://api.github.com/repos/huggingface/transformers/issues/15909/events | https://github.com/huggingface/transformers/pull/15909 | 1,158,329,271 | PR_kwDOCUB6oc4z4xQu | 15,909 | [Tests] Add attentions_option to ModelTesterMixin | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"You'll need to fix the failing tests as well.",
"Thanks for this work @NielsRogge !\r\n\r\nI left a review comment (question) about `test_forward_signature`.\r\n\r\nAnd then a minor question here:\r\n\r\nhttps://github.com/huggingf... | 1,646 | 1,646 | 1,646 | CONTRIBUTOR | null | # What does this PR do?
The library is called HuggingFace Transformers, I know.. but we recently have additions of non-Transformer based models, that don't use attention (namely ConvNeXT and PoolFormer). Soon, we'll also have ResNet in the library (which will back Transformer-based models such as DETR).
As these ... | {
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"This is a really good idea, I think! The loss of type hinting might be an issue, though - I think our models are almost totally type-hinted in PT, though that's probably just to get them to compile with Torchscript and isn't strictly necessary for TF.\r\n\r\nProbably there's some way to salvage this, though - Py3.... | 1,646 | 1,646 | 1,646 | MEMBER | null | # RFC
This is an RFC concerning how model/layer inputs are handled in TF. The details are below and it includes a working demo with the proposed solution -- comments (and concerns) are deeply appreciated.
cc @Rocketknight1 @LysandreJik @sgugger
## Motivation
In all TF models and main layers, in their `ca... | {
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https://api.github.com/repos/huggingface/transformers/issues/15907 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15907/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15907/comments | https://api.github.com/repos/huggingface/transformers/issues/15907/events | https://github.com/huggingface/transformers/pull/15907 | 1,158,256,078 | PR_kwDOCUB6oc4z4hsb | 15,907 | TF: Unpack model inputs through a decorator | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"As suggested by @sgugger in #15908, I've opened the PR :)",
"This looks great! Also pinging @patrickvonplaten for review as it's quite central",
"Thanks for running the tests on it. It is way more readable like that indeed.",
"... | 1,646 | 1,646 | 1,646 | MEMBER | null | # What does this PR do?
Unpacks TF model inputs through a decorator, improving code clarity. To be read with issue https://github.com/huggingface/transformers/issues/15908, which holds the description of the problem, the proposed solution, and future plan.
Closes https://github.com/huggingface/transformers/issues... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_15906). All of your documentation changes will be reflected on that endpoint."
] | 1,646 | 1,646 | 1,646 | MEMBER | null | # What does this PR do?
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This PR adds all vision models to the doc tests (and fixes the code examples of `xxxForMaskedImageModeling` models).
Thanks @patrickvonplaten for reviving these. | {
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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/main/CONTRIBUTING.md) a... | 1,646 | 1,649 | 1,649 | CONTRIBUTOR | null | Looks like there's a tiny bug in the funnel transformer implementation.
https://github.com/huggingface/transformers/blob/39249c9589f5eb9677807e74221e2eb3ea1b4a35/src/transformers/models/funnel/modeling_funnel.py#L783
Should be:
```python
module.word_embeddings.weight.data[module.word_embeddings.padding_idx].zero_... | {
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https://api.github.com/repos/huggingface/transformers/issues/15903 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15903/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15903/comments | https://api.github.com/repos/huggingface/transformers/issues/15903/events | https://github.com/huggingface/transformers/pull/15903 | 1,157,774,489 | PR_kwDOCUB6oc4z2-Lr | 15,903 | Fix doc links in release utils | {
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] | 1,646 | 1,646 | 1,646 | COLLABORATOR | null | # What does this PR do?
This PR fixes the link replacements in the release utils, since the links changed with the new doc front. | {
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"In their [model](https://github.com/facebookresearch/FiD/blob/main/src/model.py) code, they are using `EncoderWrapper` and `CheckpointWrapper`... | 1,646 | 1,650 | null | CONTRIBUTOR | null | # What does this PR do?
This PR adds the Fusion-in-Decoder model to the repository.
Paper: https://arxiv.org/abs/2007.01282
Code: https://github.com/facebookresearch/FiD
## Who can review?
Anyone in the community is free to review the PR once the tests have passed.
@patil-suraj, @patrickvonplaten, @qqaatw | {
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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 gu... | 1,646 | 1,650 | 1,650 | CONTRIBUTOR | null | Tagging @n1t0 @thomwolf @sgugger but this PR should be extremely quick to review for anyone.
# Problem
`BatchEncoding.token_to_char` is supposed to return the char spans in the original string; however, right now, for tokens such as "\<s>, \</s>, \<CLS>" that don't correspond to any chars in the original string, ... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_15900). All of your documentation changes will be reflected on that endpoint.",
"Thanks a lot @versae !",
"I run the test using the PyTorch weights and it seems to work. I'm also already training a model using a TPUv3-8 w... | 1,646 | 1,646 | 1,646 | CONTRIBUTOR | null | # What does this PR do?
The PyTorch and TF XLM-RoBERTa model and the Flax model for RoBERTa were added a while ago, but there were still a few missing pieces in order to be able to run pre-training and other tasks using Flax XLM-RoBERTa. This PR adds those parts.
Fixes #15910.
## Before submitting
- [ ] This ... | {
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"cc'ing @mfuntowicz (among others)",
"Hey! We indeed stopped pushing images a while back, but we've started doing so again a few weeks ago. It makes sense to push images with the versions.\r\n\r\nWill try to make some time and do so.",
"This issue has been automatically marked as stale because it has not had re... | 1,646 | 1,649 | 1,649 | CONTRIBUTOR | null | ## Environment info
- `transformers` version: > 4.9.1
### Who can help
@mfuntowicz ?
## Information
https://hub.docker.com/r/huggingface/transformers-pytorch-gpu/tags
I was expecting 1 tag per transformers version on the docker hub, but the most recent tag (aside from `latest`) is for 4.9.1 and was pu... | {
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https://api.github.com/repos/huggingface/transformers/issues/15898 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15898/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15898/comments | https://api.github.com/repos/huggingface/transformers/issues/15898/events | https://github.com/huggingface/transformers/issues/15898 | 1,157,415,026 | I_kwDOCUB6oc5E_MBy | 15,898 | Error using evaluation in run_clm.py | {
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"Most likely this PR https://github.com/huggingface/transformers/pull/15473 introduced the breakage, since this code didn't exist before:\r\n\r\nhttps://github.com/huggingface/transformers/blob/130b987880a9b1ade5c76dc1413c12c8924fda50/examples/pytorch/language-modeling/run_clm.py#L456-L457\r\n\r\nMost likely the ne... | 1,646 | 1,646 | 1,646 | CONTRIBUTOR | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: 4.17.0.dev0
- Platform: Linux-4.18.0-193.el8.x86_64-x86_64-with-glibc2.10
- Python version: 3.8.3
- PyTorch ... | {
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https://api.github.com/repos/huggingface/transformers/issues/15897 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15897/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15897/comments | https://api.github.com/repos/huggingface/transformers/issues/15897/events | https://github.com/huggingface/transformers/pull/15897 | 1,157,411,026 | PR_kwDOCUB6oc4z1xf6 | 15,897 | Update readme with how to train offline and fix BPE command | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_15897). All of your documentation changes will be reflected on that endpoint.",
"@lvwerra thanks for the edits, it reads a lot better!",
"A... | 1,646 | 1,648 | 1,648 | CONTRIBUTOR | null | # What does this PR do?
Just some minor updates to the README with how to do offline training and fixed the BPE command to allow for easy copy and paste.
@lvwerra
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https://api.github.com/repos/huggingface/transformers/issues/15896 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15896/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15896/comments | https://api.github.com/repos/huggingface/transformers/issues/15896/events | https://github.com/huggingface/transformers/pull/15896 | 1,157,410,539 | PR_kwDOCUB6oc4z1xal | 15,896 | Fix a TF Vision Encoder Decoder test | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_15896). All of your documentation changes will be reflected on that endpoint.",
"Probably wait @patrickvonplaten too, but once ready, should I merge this PR myself ? (or still should be one of you to do so?)",
"You can me... | 1,646 | 1,646 | 1,646 | COLLABORATOR | null | # What does this PR do?
Simple fix for the following CI failure:
```
tests.vision_encoder_decoder.test_modeling_tf_vision_encoder_decoder.TFViT2GPT2EncoderDecoderModelTest.test_pt_tf_equivalence
```
This is due to a few PyTorch device issue (need `pt_inputs` to be on the correct device).
Tested on GCP GPU ... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_15895). All of your documentation changes will be reflected on that endpoint."
] | 1,646 | 1,646 | 1,646 | CONTRIBUTOR | null | # What does this PR do?
After #15889 and removing the deprecated `reshape_last_stage` attribute for 6 checkpoints on the hub, this PR makes sure `SegformerForImageClassification` properly uses the features from the backbone in order to compute the image class. | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_15894). All of your documentation changes will be reflected on that endpoint."
] | 1,646 | 1,646 | 1,646 | CONTRIBUTOR | null | # What does this PR do?
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Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_15893). All of your documentation changes will be reflected on that endpoint.",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_15893). All of your documentation changes will be re... | 1,646 | 1,646 | 1,646 | CONTRIBUTOR | null | Linked to https://github.com/huggingface/transformers/pull/15826
# What does this PR do?
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"Think you can rebase to master to solve the failing test"
] | 1,646 | 1,646 | 1,646 | MEMBER | null | # What does this PR do?
This PR makes `test_xglm_sample` run on CPU to make it deterministic and pass. | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_15891). All of your documentation changes will be reflected on that endpoint.",
"Were you able to fix them? I was trying to fix the `delete_doc_job` as well in https://github.com/huggingface/transformers/pull/15894/files wi... | 1,646 | 1,646 | 1,646 | COLLABORATOR | null | # What does this PR do?
This PR fixes the `delete-dev-doc` job to use the same runner as `buld-dev-doc`. It also fixes the `build-dev-doc` job failures that happen if the `doc-build-dev` repo got an update during the time the doc is built while not doing the stash if not necessary (which was the bug #15882 was tryin... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_15890). All of your documentation changes will be reflected on that endpoint.",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_15890). All of your documentation changes will be re... | 1,646 | 1,646 | 1,646 | CONTRIBUTOR | null | in the scoring (which is more correct)
# What does this PR do?
Fixes 2 slow tests.
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_15889). All of your documentation changes will be reflected on that endpoint."
] | 1,646 | 1,646 | 1,646 | CONTRIBUTOR | null | # What does this PR do?
This PR takes it a bit more light compared to #15748. Rather than removing the `reshape_last_stage` argument right away, this PR instead tells users that this argument is deprecated and will soon be removed.
After some weeks, we can then merge #15748. | {
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https://api.github.com/repos/huggingface/transformers/issues/15888 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15888/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15888/comments | https://api.github.com/repos/huggingface/transformers/issues/15888/events | https://github.com/huggingface/transformers/issues/15888 | 1,157,086,320 | I_kwDOCUB6oc5E97xw | 15,888 | CLIPProcessor with CLIPTokenizerFast | {
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"Hey @cosmoquester !\r\nThe `CLIPTokenizerFast` was not used in the processor because there was an issue with it which is now fixed, cf #15067\r\n\r\nSo yes, we can now support `CLIPTokenizerFast` for `CLIPProcessor`. Feel free to open a PR!"
] | 1,646 | 1,646 | 1,646 | CONTRIBUTOR | null | # 🚀 Feature request
Current `CLIPProcessor` doesn't support `CLIPTokenizerFast` requiring `CLIPTokenizer`.
In my thinking, there is no reason not to support `CLIPTokenizerFast` for `CLIPProcessor`
## Motivation
<!-- Please outline the motivation for the proposal. Is your feature request
related to a pr... | {
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https://api.github.com/repos/huggingface/transformers/issues/15887 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15887/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15887/comments | https://api.github.com/repos/huggingface/transformers/issues/15887/events | https://github.com/huggingface/transformers/pull/15887 | 1,157,010,823 | PR_kwDOCUB6oc4z0buB | 15,887 | Fix Bug in FlaxWav2Vec2 Slow Test | {
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https://github.com/huggingface/transformers/blob/05c237ea94e08786abbac6c6185cfdfa262a8c53/tests/wav2vec2/test_modeling_flax_wav2vec2.py#L387... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_15886). All of your documentation changes will be reflected on that endpoint.",
"@patil-suraj @sgugger any idea why the `Build dev documentation / build_and_package` check failed? based on the error log, I initially suspect... | 1,646 | 1,650 | 1,650 | CONTRIBUTOR | null | # What does this PR do?
<!--
- Converts PIL image to `RGB` if processed by CLIPFeatureExtractor.
-->
Currently PIL images with `RGBA` format throws an error when being processed by CLIPFeatureExtractor.
CLIPFeatureExtractor.normalize() throws the following error:
`.../sentence-transformer/lib/python3.9... | {
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"Hi @pratikchhapolika ! The best place to ask this question would be to use the [forum](https://discuss.huggingface.co/). We use issues for bug reports and feature requests.",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed p... | 1,646 | 1,649 | 1,649 | NONE | null | I am training a simple binary classification model using Hugging face models using pytorch.
Bert PyTorch HuggingFace.
`keyword_lst` has `20k` new token which I add to tokenizer.
`I take mean of old tokenizer to update new tokenizers.`
I am training this model for `4,00,000 data points.`
Here is the co... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_15884). All of your documentation changes will be reflected on that endpoint."
] | 1,646 | 1,646 | 1,646 | CONTRIBUTOR | null | # What does this PR do?
<!--
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"cc @lewtun ",
"Hey @imVParashar thanks for raising the issue. We recently had to fix the (deprecated) TensorFlow exporter in #15856, so if you install from `master` the following should work:\r\n\r\n```python\r\nfrom pathlib import Path\r\n\r\nimport numpy as np\r\nimport onnxruntime\r\n\r\nfrom transformers imp... | 1,646 | 1,646 | 1,646 | NONE | null | There's something wrong while using ONNX Runtime for the `TFDistilBertForSequenceClassification` model.
It throws the following error while using the TensorFlow model, `Failed to find input with the name: attention_mask in the model input def list`.
However, if I only pass `input_ids`, then it works.
For Pytor... | {
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https://api.github.com/repos/huggingface/transformers/issues/15882 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15882/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15882/comments | https://api.github.com/repos/huggingface/transformers/issues/15882/events | https://github.com/huggingface/transformers/pull/15882 | 1,156,292,881 | PR_kwDOCUB6oc4zx43Z | 15,882 | Remove stash for now | {
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] | 1,646 | 1,646 | 1,646 | CONTRIBUTOR | null | Making deepspeed tests work again after the big tests structure reshuffle.
@LysandreJik - we can't have `tests/deepspeed/__init__.py` as then it conflicts with the actual `deepspeed` package, please see: https://github.com/huggingface/transformers/pull/15725#issuecomment-1056027398
Additionally I don't think we s... | {
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"@AntreasAntoniou , I'm so sorry you had this problem. Part of the Hub was briefly unavailable on March 1st around 11pm UTC. I just tested again on my side and your snippet works fine. :smile: \r\n\r\n",
"Yeah, it works fine now. Thanks for the response! :)"
] | 1,646 | 1,646 | 1,646 | NONE | null | ## Environment info
- `transformers` version: 4.17.0.dev0
- Platform: Linux-5.13.0-30-generic-x86_64-with-glibc2.10
- Python version: 3.8.12
- PyTorch version (GPU?): 1.11.0.dev20220116 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: n... | {
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https://api.github.com/repos/huggingface/transformers/issues/15879 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15879/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15879/comments | https://api.github.com/repos/huggingface/transformers/issues/15879/events | https://github.com/huggingface/transformers/pull/15879 | 1,155,909,588 | PR_kwDOCUB6oc4zwh8n | 15,879 | [Bart] Fix implementation note doc | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_15879). All of your documentation changes will be reflected on that endpoint.",
"Please rebase on master to remove the dev documentation failure."
] | 1,646 | 1,646 | 1,646 | MEMBER | null | # What does this PR do?
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"Hi @JulesGM ! \r\nThere is already an argument for that. Every seq2seq model has the `decoder_attention_mask` argument with which you can specify the attention mask for `decode_input_ids` which are fed to the decoder.",
"Thanks.\n\"For translation and summarization training, decoder_input_ids should be\nprovided... | 1,646 | 1,649 | 1,649 | NONE | null | I find it very counterintuitive that the Bart class for conditional generation doesn't take label_attention_masks as an input, and that people are left to manually convert their padding tokens to values of -100.
-> I think many new users are likely getting bitten by this, and will also be in the future.
-> I think... | {
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https://api.github.com/repos/huggingface/transformers/issues/15877 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15877/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15877/comments | https://api.github.com/repos/huggingface/transformers/issues/15877/events | https://github.com/huggingface/transformers/pull/15877 | 1,155,749,875 | PR_kwDOCUB6oc4zwAJM | 15,877 | Updates in Trainer to support new features in SM Model Parallel library | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_15877). All of your documentation changes will be reflected on that endpoint.",
"Lot of TF tests seem to fail, and there are a couple of strange errors. Could you take a look?\r\n",
"Thanks for your PR! Please rebase on m... | 1,646 | 1,646 | 1,646 | CONTRIBUTOR | null | # What does this PR do?
- Calls state dict on rdp_rank==0 to fix hang for SMP when using tensor parallelism
- Reorders wrapping of optimizer to happen after wrapping of model, which is a requirement for the newer version of SMP.
- Uses the right ranks for data loading when using TP based on whether we are using ... | {
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https://api.github.com/repos/huggingface/transformers/issues/15876 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15876/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15876/comments | https://api.github.com/repos/huggingface/transformers/issues/15876/events | https://github.com/huggingface/transformers/issues/15876 | 1,155,748,301 | I_kwDOCUB6oc5E41HN | 15,876 | Passing in num_labels to ConvNextForImageClassification.from_pretrained raises size mismatch error | {
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"This is because the checkpoint you are using has 1,000 labels. To ignore the pretrained weights of the classifier, you have to pass along `ignore_mismatched_sizes=True`.\r\n\r\nYou don't need this for other models if the pretrained model does not have a classifier head.",
"> This is because the checkpoint you ar... | 1,646 | 1,646 | 1,646 | MEMBER | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: 4.17.0.dev0
- Platform: Linux-5.4.144+-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.7.12
- PyTorch ve... | {
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https://api.github.com/repos/huggingface/transformers/issues/15875 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15875/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15875/comments | https://api.github.com/repos/huggingface/transformers/issues/15875/events | https://github.com/huggingface/transformers/pull/15875 | 1,155,600,039 | PR_kwDOCUB6oc4zvgSw | 15,875 | Add ONNX support for Blenderbot and BlenderbotSmall | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_15875). All of your documentation changes will be reflected on that endpoint.",
"How's the work going for this PR?",
"> How's the work going for this PR?\r\n\r\nThe export for `BlenderbotSmall` works well, but `Blenderbot... | 1,646 | 1,648 | 1,648 | MEMBER | null | # What does this PR do?
This PR adds support to export `blenderbot` and `blenderbot-small` model types.
For the `blenderbot` case, I found that I had to adapt the `_generate_dummy_examples()` functions that we implemented for `bart` to exclude the number of encoder layers when we create the `past_key_values` inpu... | {
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https://api.github.com/repos/huggingface/transformers/issues/15874 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15874/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15874/comments | https://api.github.com/repos/huggingface/transformers/issues/15874/events | https://github.com/huggingface/transformers/pull/15874 | 1,155,584,818 | PR_kwDOCUB6oc4zvdBo | 15,874 | Bump up doc node version to 16 | {
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"@LysandreJik this should fix the CI issue in https://github.com/huggingface/transformers/pull/15710",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_15874). All of your documentation changes will be reflected on that endpoint."
] | 1,646 | 1,646 | 1,646 | CONTRIBUTOR | null | # What does this PR do?
Fixed the doc-build issue we disucssed by bumping up node 14 -> 16
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_15873). All of your documentation changes will be reflected on that endpoint.",
"As discussed offline - the test didn't check what it was supposed to check. Bad review from my part. We should open a new PR here to fix it cc... | 1,646 | 1,646 | 1,646 | CONTRIBUTOR | null | This PR enables the FlaxWav2Vec2 Feature Encoder to be _frozen_. The flow of gradients through the Feature Encoder during forward or reverse-mode automatic differentiation is prevented through use of a simple command (`jax.lax.stop_gradient`), thus holding the Feature Encoder parameters fixed. Freezing the Feature Enco... | {
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] | 1,646 | 1,646 | 1,646 | MEMBER | null | Updates the docker images so that torch scatter runs on CUDA. | {
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"I was also adjusting the BART export to work for mBART in a translation setting. There you need to be able to set the `decoder_start_token_id` dynamically. I noticed that the ONNX conversion example you link to (thank you!) is not complete. It is missing the `dynamic_axes` configuration for the `attention_mask`. I... | 1,646 | 1,648 | 1,648 | NONE | null | Hi HuggingFace team,
Last December I looked into exporting `MBartForConditionalGeneration` from `"facebook/mbart-large-50-many-to-one-mmt"` for the purpose of multilingual machine translation. Originally I followed the approach as described in this [BART + beam search example](https://github.com/huggingface/transfor... | {
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https://api.github.com/repos/huggingface/transformers/issues/15870 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15870/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15870/comments | https://api.github.com/repos/huggingface/transformers/issues/15870/events | https://github.com/huggingface/transformers/pull/15870 | 1,155,545,034 | PR_kwDOCUB6oc4zvUyo | 15,870 | TF: Update QA example | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_15870). All of your documentation changes will be reflected on that endpoint.",
"@gante If you mean the bit that's in the PT example too, then we probably have to keep that! (And you don't need to change it for the refactor... | 1,646 | 1,646 | 1,646 | MEMBER | null | # What does this PR do?
Another example update, this time for question answering. Removes the dummy loss (we can use the internal loss) and the custom dataset preparation.
@Rocketknight1 in this example, the evaluation dataset has some custom handling. Do you think it is worth diving into? | {
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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/main/CONTRIBUTING.md) a... | 1,646 | 1,676 | 1,652 | 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: 4.16.2
- Platform: Linux-5.13.0-30-generic-x86_64-with-glibc2.31
- Python version: 3.9.7
- PyTorch version (... | {
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] | 1,646 | 1,646 | 1,646 | MEMBER | null | # What does this PR do?
Updates the TF example for multiple choice.
This example update is not as clean as the previous ones -- despite the deletion of a custom dataset function, it required the addition of a custom data collator ([just like in its PT counterpart](https://github.com/huggingface/transformers/blob/... | {
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"Hey @asceznyk,\r\n\r\nIt looks like a word id is passed to the model which doesn't exist. One possible issue could be that you are passing `-100` values to the decoder as `decoder_input_ids`. Note that only the labels should be masked out with `-100` not the `decoder_input_ids`.",
"Hey @patrickvonplaten thanks f... | 1,646 | 1,646 | 1,646 | NONE | null | ## Environment info
- `transformers` version: 4.15.0
- Platform: Linux-5.10.90+-x86_64-with-debian-bullseye-sid
- Python version: 3.7.12
- PyTorch version (GPU?): 1.9.1+cpu (False)
- Tensorflow version (GPU?): 2.6.2 (False)
- Flax version (CPU?/GPU?/TPU?): 0.4.0 (cpu)
- Jax version: 0.2.28
- JaxLib version: 0.1... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_15866). All of your documentation changes will be reflected on that endpoint.",
"Thank you for your PR! See issue here: https://github.com/huggingface/transformers/issues/14859\r\nIdeally we would want all models to behave ... | 1,646 | 1,646 | 1,646 | CONTRIBUTOR | null | # What does this PR do?
This PR removes all attention from padding tokens where before there was a minimal ammount. This promotes reproducibility since it doesn't matter the batch size but one should get the same results every time from any task (which now is not the case).
## Before submitting
- [ ] This PR fix... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_15865). All of your documentation changes will be reflected on that endpoint.",
"Thanks for working on it! Is the `apt` installation necessary when you already specified the Python version you wanted in the yaml?",
"> Is ... | 1,646 | 1,646 | 1,646 | MEMBER | null | # What does this PR do?
Use python 3.7 for flax self-push tests. This PR also removes`kenlm` installation since it was causing some issues and is actually not required for flax tests. | {
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https://api.github.com/repos/huggingface/transformers/issues/15864 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/15864/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/15864/comments | https://api.github.com/repos/huggingface/transformers/issues/15864/events | https://github.com/huggingface/transformers/pull/15864 | 1,155,163,824 | PR_kwDOCUB6oc4zuEMp | 15,864 | DebertaForSequenceClassification loss computation | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_15864). All of your documentation changes will be reflected on that endpoint.",
"No this is a breaking change. We didn't touch the way the loss was computed when adding support for `problem_type` for all models to avoid suc... | 1,646 | 1,646 | 1,646 | MEMBER | null | # What does this PR do?
This PR changes the way the loss is being computed for `DebertaForSequenceClassification` and `DebertaV2ForSequenceClassification` to make it match what is being done for other bert-like models.
The current way of doing it seems overly complicated and I do not see why the behaviour should ... | {
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