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https://api.github.com/repos/huggingface/transformers/issues/10835 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10835/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10835/comments | https://api.github.com/repos/huggingface/transformers/issues/10835/events | https://github.com/huggingface/transformers/issues/10835 | 837,144,176 | MDU6SXNzdWU4MzcxNDQxNzY= | 10,835 | Issues finetuning MBART 50 many to many | {
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"@patil-suraj any help is appreciated",
"@patrickvonplaten",
"Can anyone look into this @patil-suraj @patrickvonplaten ",
"Hi @tuhinjubcse , sorry to reply only now, I've been a bit busy with the sprint and other projects so couldn't really allocate any time for this. I will get back to you by tomorrow.\r\n... | 1,616 | 1,624 | 1,624 | NONE | null | - `transformers` version: Latest
- Platform:
- Python version: 1.8.0
- Using GPU in script?: Yes A100
- Using distributed or parallel set-up in script?: No
I am trying to finetune MBART50-many-to-many
```
python ./transformers/examples/seq2seq/run_translation.py \
--model_name_or_path facebook/mbart-la... | {
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https://api.github.com/repos/huggingface/transformers/issues/10834 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10834/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10834/comments | https://api.github.com/repos/huggingface/transformers/issues/10834/events | https://github.com/huggingface/transformers/issues/10834 | 837,123,808 | MDU6SXNzdWU4MzcxMjM4MDg= | 10,834 | Local Attention for GPT2 | {
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"@patil-suraj is working on implementing GPT Neo over at https://github.com/huggingface/transformers/pull/10848! The 1.3B and 2.7B should be loadable in that architecture once finalized."
] | 1,616 | 1,617 | 1,617 | CONTRIBUTOR | 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. -->
Our model uses local attention in some layers (i.e each position can only see the last k=256 tokens in every other layer). We would like to be able to specif... | {
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https://api.github.com/repos/huggingface/transformers/issues/10833 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10833/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10833/comments | https://api.github.com/repos/huggingface/transformers/issues/10833/events | https://github.com/huggingface/transformers/issues/10833 | 837,117,667 | MDU6SXNzdWU4MzcxMTc2Njc= | 10,833 | weird large memory usage of mbert model | {
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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)... | 1,616 | 1,621 | 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: 4.4.2
- Platform:
- Python version: 3.7
- PyTorch version (GPU?): 1.8
- Tensorflow version (GPU?):
- Usin... | {
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https://api.github.com/repos/huggingface/transformers/issues/10832 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10832/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10832/comments | https://api.github.com/repos/huggingface/transformers/issues/10832/events | https://github.com/huggingface/transformers/issues/10832 | 837,111,662 | MDU6SXNzdWU4MzcxMTE2NjI= | 10,832 | run_mlm.py: CUDA error: device-side assert triggered, THCTensorIndex | {
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"Hi there! So the problem is a bit complex and linked to the way RoBERTa is implemented in Transformers with a small hack: its toknizer has 512 + 2 position embeddings, not 512. When you run your command, the model is randomly initialized with 512 position embeddings (the default in the config) but you still use it... | 1,616 | 1,616 | 1,616 | NONE | null | ## Environment info
- `transformers` version: 4.4.2
- Platform: Linux
- Python version: Python 3.4.9
- PyTorch version (GPU?): 1.6.0+cu101
- Using GPU in script?: Yes
- Using distributed or parallel set-up in script?: Yes
- GPU details: 4 GPUs V100 16GB
## Information
I am using Bert and Roberta. I'm try t... | {
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https://api.github.com/repos/huggingface/transformers/issues/10831 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10831/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10831/comments | https://api.github.com/repos/huggingface/transformers/issues/10831/events | https://github.com/huggingface/transformers/issues/10831 | 837,022,217 | MDU6SXNzdWU4MzcwMjIyMTc= | 10,831 | Encoder Decoder Model didn't return a reasonable result | {
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"Hi! You're using two `bert-base-uncased` as encoder/decoders. This is possible, but you'll need to train your resulting encoder-decoder model on a downstream task in order to obtain coherent results.\r\n\r\nThe `bert-base-uncased` checkpoint is originally from an encoder-only setup.\r\n\r\nIf I may recommend some ... | 1,616 | 1,619 | 1,619 | NONE | null | Hello,
I tried the example code in the official website as below.
# code
`from transformers import EncoderDecoderModel, BertTokenizer
import torch
tokenizer = BertTokenizer.from_pretrained('bert-base-uncased')
model = EncoderDecoderModel.from_encoder_decoder_pretrained('bert-base-uncased', 'bert-base-uncased') ... | {
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https://api.github.com/repos/huggingface/transformers/issues/10830 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10830/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10830/comments | https://api.github.com/repos/huggingface/transformers/issues/10830/events | https://github.com/huggingface/transformers/issues/10830 | 837,020,669 | MDU6SXNzdWU4MzcwMjA2Njk= | 10,830 | getting nans with t5-large + fix | {
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"Hi\r\nI also observe the similar issue with mt5 models, https://github.com/huggingface/transformers/issues/10819 , deepspeed is still not working for me due to this issue with mt5 models.\r\nI greatly appreciate having a look @patil-suraj @patrickvonplaten ",
"We didn't really manage to resolve the problems with... | 1,616 | 1,680 | 1,627 | CONTRIBUTOR | null | ## Environment info
- `transformers` version: 4.5.0.dev0
- Platform: Linux-4.15.0-65-generic-x86_64-with-glibc2.10
- Python version: 3.8.8
- PyTorch version (GPU?): 1.7.1+cu101 (True)
- Tensorflow version (GPU?): not installed (NA)
- Using GPU in script?: Yes
- Using distributed or parallel set-up in script?: ... | {
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https://api.github.com/repos/huggingface/transformers/issues/10829 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10829/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10829/comments | https://api.github.com/repos/huggingface/transformers/issues/10829/events | https://github.com/huggingface/transformers/pull/10829 | 837,018,549 | MDExOlB1bGxSZXF1ZXN0NTk3NDQzMTQy | 10,829 | [Wav2Vec2] Small improvements for wav2vec2 info script | {
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https://api.github.com/repos/huggingface/transformers/issues/10828 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10828/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10828/comments | https://api.github.com/repos/huggingface/transformers/issues/10828/events | https://github.com/huggingface/transformers/pull/10828 | 837,008,188 | MDExOlB1bGxSZXF1ZXN0NTk3NDM1NjM4 | 10,828 | [wav2vec sprint doc] add doc for Local machine | {
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Add instructions for how to do Wav2Vec2 fine-tuning on local machine.
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https://api.github.com/repos/huggingface/transformers/issues/10827 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10827/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10827/comments | https://api.github.com/repos/huggingface/transformers/issues/10827/events | https://github.com/huggingface/transformers/issues/10827 | 836,952,708 | MDU6SXNzdWU4MzY5NTI3MDg= | 10,827 | Log continuously models with wandb | {
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"I'm realizing now it would be so helpful with xlsr trainings (lost models due to crash after very long training).\r\n\r\nWould you have any input or suggestions @sgugger on how I could try to implement it?",
"Hi @borisdayma, I hadn't seen this issue. On our side we're more focused on how to continuously push the... | 1,616 | 1,624 | 1,624 | CONTRIBUTOR | 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. -->
wandb integration currently logs last model (which can be the best by using `TrainingArguments.load_best_model_at_end`).
It would be great to allow contin... | {
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https://api.github.com/repos/huggingface/transformers/issues/10826 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10826/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10826/comments | https://api.github.com/repos/huggingface/transformers/issues/10826/events | https://github.com/huggingface/transformers/pull/10826 | 836,911,864 | MDExOlB1bGxSZXF1ZXN0NTk3MzYwMzQx | 10,826 | feat(wandb): logging and configuration improvements | {
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Following improvements to `wandb` integration:
* ensure unique artifact id → previously it was based on run name which could create duplicates and mismatches (as runs can be updated manually in the UI)
* allow manual calls to `wandb.init()` → previously it would have closed the run and star... | {
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https://api.github.com/repos/huggingface/transformers/issues/10825 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10825/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10825/comments | https://api.github.com/repos/huggingface/transformers/issues/10825/events | https://github.com/huggingface/transformers/issues/10825 | 836,885,863 | MDU6SXNzdWU4MzY4ODU4NjM= | 10,825 | ReformerEmbedding unclear behavior | {
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"I think I don't fully agree here...`max_position_embeddings` is important even if `axial_pos_embedding` is used. If a user makes use of `axial_pos_embeddings` then `max_position_embeddings` is clearly defined by the tuple of `axial_pos_embeddings`. IMO, it's important that the user fully understands how `axial_pos... | 1,616 | 1,619 | 1,619 | NONE | null | ## Environment info
- `transformers` version: 4.3.3
- Platform: Linux-4.15.0-136-generic-x86_64-with-glibc2.10
- Python version: 3.8.5
- PyTorch version (GPU?): 1.7.1 (True)
- Tensorflow version (GPU?): not installed (NA)
- Using GPU in script?: <fill in>
- Using distributed or parallel set-up in script?: <fill ... | {
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https://api.github.com/repos/huggingface/transformers/issues/10824 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10824/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10824/comments | https://api.github.com/repos/huggingface/transformers/issues/10824/events | https://github.com/huggingface/transformers/issues/10824 | 836,872,456 | MDU6SXNzdWU4MzY4NzI0NTY= | 10,824 | Running "convert_graph_to_onnx.py" doesn't work. | {
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"This appears to be the proper way to run it.\r\n\r\n`python3 -m transformers.convert_graph_to_onnx --framework pt --model bert-base-cased bert-base-cased.onnx`"
] | 1,616 | 1,616 | 1,616 | NONE | null | ## Environment info
- `transformers` version: 4.5.0.dev0
- Platform: Darwin-19.6.0-x86_64-i386-64bit
- Python version: 3.7.2
- PyTorch version (GPU?): 1.7.1 (False)
- Tensorflow version (GPU?): not installed (NA)
- Using GPU in script?: No
- Using distributed or parallel set-up in script?: No
### Who can help... | {
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https://api.github.com/repos/huggingface/transformers/issues/10823 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10823/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10823/comments | https://api.github.com/repos/huggingface/transformers/issues/10823/events | https://github.com/huggingface/transformers/pull/10823 | 836,867,993 | MDExOlB1bGxSZXF1ZXN0NTk3MzI3MTUz | 10,823 | Modify the Trainer class to handle simultaneous execution of Ray Tune and Weights & Biases | {
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The proper way to integrate Ray Tune and Weights & Biases is to pass a `wandb` parameter to `tune.run`.
However, this parameter is handled as a dictionary inside the `config` argument, and there is no distinction between `wandb` parameters and standard model optimization parameters. The ... | {
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https://api.github.com/repos/huggingface/transformers/issues/10822 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10822/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10822/comments | https://api.github.com/repos/huggingface/transformers/issues/10822/events | https://github.com/huggingface/transformers/pull/10822 | 836,858,577 | MDExOlB1bGxSZXF1ZXN0NTk3MzE5NjAw | 10,822 | Correct AutoConfig call docstrings | {
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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/10821 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10821/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10821/comments | https://api.github.com/repos/huggingface/transformers/issues/10821/events | https://github.com/huggingface/transformers/issues/10821 | 836,829,186 | MDU6SXNzdWU4MzY4MjkxODY= | 10,821 | checkpoint breaks with deepspeed | {
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"I'm able to reproduce your issue, @dorost1234 \r\n\r\nSo this particular error happens because you change something in the model structure after the checkpoint is saved and before it's resumed. For example at the resume point your model is different than what it was just before you saved the checkpoint.\r\n\r\nThe... | 1,616 | 1,618 | 1,618 | 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: 4.3.3
- Platform: linux
- Python version: 3.7
- PyTorch version (GPU?): 1.8
- Tensorflow version (GPU?): - ... | {
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https://api.github.com/repos/huggingface/transformers/issues/10820 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10820/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10820/comments | https://api.github.com/repos/huggingface/transformers/issues/10820/events | https://github.com/huggingface/transformers/issues/10820 | 836,760,545 | MDU6SXNzdWU4MzY3NjA1NDU= | 10,820 | JSONLINES support on examples/seq2seq/run_translation.py | {
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"I think you just have to name your file with a \".json\" extension for the script to work.\r\n\r\nThere is no support for other formats that will be added to this script as it's not easy to add the csv format while continue to support all the translation datasets in Datasets. You should just tweak the data process... | 1,616 | 1,657 | 1,616 | 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:
- Platform: windows 10
- Python version: 3.8
- PyTorch version (GPU?): 1.8.0
- Using GPU in script?: yes, ... | {
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https://api.github.com/repos/huggingface/transformers/issues/10819 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10819/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10819/comments | https://api.github.com/repos/huggingface/transformers/issues/10819/events | https://github.com/huggingface/transformers/issues/10819 | 836,737,560 | MDU6SXNzdWU4MzY3Mzc1NjA= | 10,819 | mt5 getting nans with fp16 | {
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"Duplicate of https://github.com/huggingface/transformers/issues/10830",
"Hi @patrickvonplaten this is not exact duplicate, I am using mt5-small and the other user in #10830 is using t5-large, I appreciate considering both thank you ",
"@dorost1234, please kindly test if this PR fixes the problem: https://git... | 1,616 | 1,623 | 1,623 | 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: 4.4.2
- Platform: linux
- Python version: 3.7
- PyTorch version (GPU?): 1.8
- Tensorflow version (GPU?): -... | {
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https://api.github.com/repos/huggingface/transformers/issues/10818 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10818/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10818/comments | https://api.github.com/repos/huggingface/transformers/issues/10818/events | https://github.com/huggingface/transformers/pull/10818 | 836,722,499 | MDExOlB1bGxSZXF1ZXN0NTk3MjE2NjEz | 10,818 | Bump jinja2 from 2.11.2 to 2.11.3 in /examples/research_projects/lxmert | {
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<details>
<summary>Release notes</summary>
<p><em>Sourced from <a href="https://github.com/pallets/jinja/releases">jinja2's releases</a>.</em></p>
<blockquote>
<h2>2.11.3</h2>
<p>This contains a fix for a speed issue with the <code>urlize</code> fi... | {
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https://api.github.com/repos/huggingface/transformers/issues/10817 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10817/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10817/comments | https://api.github.com/repos/huggingface/transformers/issues/10817/events | https://github.com/huggingface/transformers/pull/10817 | 836,694,411 | MDExOlB1bGxSZXF1ZXN0NTk3MTkwMDg1 | 10,817 | [vulnerability] in example deps fix | {
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"Ah actually the dependabot PR was earlier in my notifications so I merged it without seeing you had opened a PR here. Sorry about that, closing as already taken care of in https://github.com/huggingface/transformers/commit/dbfe3795147e1360b3afac53a9ee0e14374d2ea6",
"Actually, the proposed `>=` is probably better... | 1,616 | 1,616 | 1,616 | CONTRIBUTOR | null | Takes care of:
https://github.com/huggingface/transformers/security/dependabot/examples/research_projects/lxmert/requirements.txt/jinja2/open
@LysandreJik
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https://api.github.com/repos/huggingface/transformers/issues/10816 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10816/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10816/comments | https://api.github.com/repos/huggingface/transformers/issues/10816/events | https://github.com/huggingface/transformers/issues/10816 | 836,684,366 | MDU6SXNzdWU4MzY2ODQzNjY= | 10,816 | [trainer] figuring out why eval with `--fp16_full_eval` is 25% slower | {
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"Hi @stas00,\r\nPlease let me know if this is still open and I can contribute.",
"Yes, please.",
"I reproduced this in colab and got 28% slowness but still figuring out the cause, \r\nEarlier my assumption was this bit reduction/quantization was a device-specific thing.",
"Usually in such situations I try to ... | 1,616 | 1,642 | null | CONTRIBUTOR | null | Recently HF trainer was extended to support full fp16 eval via `--fp16_full_eval`. I'd have expected it to be either equal or faster than eval with fp32 model, but surprisingly I have noticed a 25% slowdown when using it.
This may or may not impact deepspeed as well, which also runs eval in fp16, but we can't compar... | {
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https://api.github.com/repos/huggingface/transformers/issues/10815 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10815/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10815/comments | https://api.github.com/repos/huggingface/transformers/issues/10815/events | https://github.com/huggingface/transformers/pull/10815 | 836,674,534 | MDExOlB1bGxSZXF1ZXN0NTk3MTcxMDgz | 10,815 | [trainer] fix nan in full-fp16 label_smoothing eval | {
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"Hi @stas00 \r\nI tested this PR and for me this becomes really slower with mt5-small model after adding the modifications in this PR, here is the command I run, I am using transformer=4.4.2. I will be grateful to your expert knowledge to have the speed issue also fixed. Thank you very much for the incredible jobs ... | 1,616 | 1,616 | 1,616 | CONTRIBUTOR | null | This PR fixes the issue of getting NaN eval loss with any inference that uses full fp16 model - which is the case with deepspeed or when `--fp16_full_eval` is passed.
The problem is that `log_probs.sum` runs over 30-50K of numbers overflows easily in fp16, so this PR switches it to fp32 internally. Which surprisingl... | {
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https://api.github.com/repos/huggingface/transformers/issues/10814 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10814/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10814/comments | https://api.github.com/repos/huggingface/transformers/issues/10814/events | https://github.com/huggingface/transformers/pull/10814 | 836,328,831 | MDExOlB1bGxSZXF1ZXN0NTk2ODUxMzk3 | 10,814 | [makefile] autogenerate target | {
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There is no functional change.
@sgugger, @LysandreJik | {
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https://api.github.com/repos/huggingface/transformers/issues/10813 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10813/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10813/comments | https://api.github.com/repos/huggingface/transformers/issues/10813/events | https://github.com/huggingface/transformers/issues/10813 | 836,294,700 | MDU6SXNzdWU4MzYyOTQ3MDA= | 10,813 | Example code for ReformerForMaskedLM | {
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"That is not a bug:\r\nhttps://stackoverflow.com/questions/66625945/huggingfaces-reformerformaskedlm-configuration-issue/66636363#66636363",
"Unfortunately that did not help. Adding:\r\n```from transformers import ReformerTokenizer, ReformerForMaskedLM, ReformerConfig\r\nimport torch\r\n\r\ntokenizer = ReformerT... | 1,616 | 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: 4.4.2
- Platform: Linux
- Python version: 3.8
- PyTorch version (GPU?): 1.7.1[11.0]
- Tensorflow version (G... | {
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https://api.github.com/repos/huggingface/transformers/issues/10812 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10812/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10812/comments | https://api.github.com/repos/huggingface/transformers/issues/10812/events | https://github.com/huggingface/transformers/issues/10812 | 836,207,708 | MDU6SXNzdWU4MzYyMDc3MDg= | 10,812 | Domain adaptation | {
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"Hello, thanks for opening an issue! We try to keep the github issues for bugs/feature requests.\r\nCould you ask your question on the [forum](https://discusss.huggingface.co) instead?\r\n\r\nThanks!",
"Thank you very much.\r\nI will contact the forum.\r\nRegards,\r\nlematmat\r\n"
] | 1,616 | 1,616 | 1,616 | NONE | null | Hi all,
I'm just wondering how to do model adaptation of pre-trained Camembert model on my custom dataset ?
I haven't found any information in Transformers documentation.
Best regards,
Lematmat
## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
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https://api.github.com/repos/huggingface/transformers/issues/10811 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10811/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10811/comments | https://api.github.com/repos/huggingface/transformers/issues/10811/events | https://github.com/huggingface/transformers/pull/10811 | 836,081,076 | MDExOlB1bGxSZXF1ZXN0NTk2NjQxNDM5 | 10,811 | Add transformers id to hub requests | {
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This PR adds a `TRANSFORMERS_ID` const, which helps us to group the several files request against the hub. | {
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https://api.github.com/repos/huggingface/transformers/issues/10810 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10810/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10810/comments | https://api.github.com/repos/huggingface/transformers/issues/10810/events | https://github.com/huggingface/transformers/issues/10810 | 836,074,038 | MDU6SXNzdWU4MzYwNzQwMzg= | 10,810 | handle_impossible_answer not working in the question answering pipeline for ROBERTa model | {
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"Hi! I believe this is was overlook on our part. Your change looks reasonable to me, do you want to open a PR with your proposed fix?\r\n\r\nAnd thank you for opening such a detailed and well-structured issue!"
] | 1,616 | 1,616 | 1,616 | CONTRIBUTOR | null | ### Environment info
- Platform: Linux 20.04
- Python version 3.8.5
- `transformers` version `3.5.0` and `4.3.2`
### The issue
I'm using the `pipeline("question-answering")` with QA Models downloaded [from community](https://huggingface.co/models?pipeline_tag=question-answering). I'm evaluating models on the S... | {
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https://api.github.com/repos/huggingface/transformers/issues/10809 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10809/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10809/comments | https://api.github.com/repos/huggingface/transformers/issues/10809/events | https://github.com/huggingface/transformers/pull/10809 | 835,990,238 | MDExOlB1bGxSZXF1ZXN0NTk2NTY1Njgx | 10,809 | [Flax] Add general conversion script | {
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"> Great work! My only concern is to make sure we don't lose any performance by not using `nn.linen.SelfAttention`. If we are just using the same code as its implementation, there is no reason for that but it's good to double-check.\r\n> Otherwise, I agree it's better to re-implement it than to have custom weight l... | 1,616 | 1,619 | 1,617 | MEMBER | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/10808 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10808/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10808/comments | https://api.github.com/repos/huggingface/transformers/issues/10808/events | https://github.com/huggingface/transformers/pull/10808 | 835,934,066 | MDExOlB1bGxSZXF1ZXN0NTk2NTE3NTk5 | 10,808 | wav2vec doc tweaks | {
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"Ok actually this is ready to merge"
] | 1,616 | 1,616 | 1,616 | MEMBER | null | tiny tweaks | {
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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)... | 1,616 | 1,619 | 1,619 | NONE | null | This is the traceback:
`thread '<unnamed>' panicked at 'index out of bounds: the len is 453 but the index is 453', /__w/tokenizers/tokenizers/tokenizers/src/tokenizer/normalizer.rs:382:21
note: run with `RUST_BACKTRACE=1` environment variable to display a backtrace
thread '<unnamed>' panicked at 'range end index ... | {
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https://api.github.com/repos/huggingface/transformers/issues/10806 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10806/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10806/comments | https://api.github.com/repos/huggingface/transformers/issues/10806/events | https://github.com/huggingface/transformers/pull/10806 | 835,768,627 | MDExOlB1bGxSZXF1ZXN0NTk2Mzc1ODI4 | 10,806 | [XLSR-Wav2Vec2 Info doc] Add a couple of lines | {
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https://api.github.com/repos/huggingface/transformers/issues/10805 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10805/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10805/comments | https://api.github.com/repos/huggingface/transformers/issues/10805/events | https://github.com/huggingface/transformers/issues/10805 | 835,749,745 | MDU6SXNzdWU4MzU3NDk3NDU= | 10,805 | ONNX export outputs many warnings | {
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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)... | 1,616 | 1,619 | 1,619 | NONE | null |
I was testing ONNX export via your **04-onnx-export.ipynb** notebook and when calling `!python -m transformers.convert_graph_to_onnx --framework pt --model bert-base-cased --opset 11 --quantize onnx/bert-base-cased2.onnx` I get many Warnings like:
```
Warning: Unsupported operator LayerNormalization. No schema regi... | {
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https://api.github.com/repos/huggingface/transformers/issues/10804 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10804/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10804/comments | https://api.github.com/repos/huggingface/transformers/issues/10804/events | https://github.com/huggingface/transformers/issues/10804 | 835,608,676 | MDU6SXNzdWU4MzU2MDg2NzY= | 10,804 | Initializing ddp is extremely slow when finetuning RAG | {
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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)... | 1,616 | 1,619 | 1,619 | NONE | null | Hi, when I am finetuning the RAG model, it seems that the DDP process is extremely slow. I waited 1 day but still did not see the training process.
loading file None
loading file None
loading file /nfs/users/s_xiangru/model/rag/rag/rag-sequence-nq/generator_tokenizer/special_tokens_map.json
loading file /nfs/us... | {
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https://api.github.com/repos/huggingface/transformers/issues/10803 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10803/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10803/comments | https://api.github.com/repos/huggingface/transformers/issues/10803/events | https://github.com/huggingface/transformers/issues/10803 | 835,554,382 | MDU6SXNzdWU4MzU1NTQzODI= | 10,803 | How much vRAM should I have for fine tuning DeBERTa v2 xxlarge? | {
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"I don't know the answer, but hoping that it works after this PR got merged https://github.com/huggingface/transformers/pull/10753\r\n\r\nDo you already use deepspeed ?",
"No, i did not"
] | 1,616 | 1,616 | 1,616 | CONTRIBUTOR | null | I'm fine tuning DeBERTa v2 xxlarge with 1.5B parameters on Nvidia Tesla T4 (16GB vRAM) and it returns "CUDA out of memory".
How much vRAM is enough?
@LysandreJik | {
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https://api.github.com/repos/huggingface/transformers/issues/10802 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10802/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10802/comments | https://api.github.com/repos/huggingface/transformers/issues/10802/events | https://github.com/huggingface/transformers/pull/10802 | 835,420,665 | MDExOlB1bGxSZXF1ZXN0NTk2MDgxODYz | 10,802 | addressing vulnerability report in research project deps | {
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https://github.com/huggingface/transformers/security/dependabot/examples/research_projects/lxmert/requirements.txt/Pillow/open
@LysandreJik | {
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"To address your comments on the `MakeFile`, I have removed some checks from `extra_quality_checks` because they are checks that modify content and `make quality` is only supposed to check, not change.\r\n\r\nTo have `make fixup` still work as intended, I put the checks that change content in `extra_style_checks` t... | 1,616 | 1,616 | 1,616 | COLLABORATOR | null | # What does this PR do?
Not a high-priority item but I get bored at nights and I like writing those kinds of scripts 😅
So this PR adds a script to properly sort the import inside `_import_structure` because people have been absolutely ruthless and putting their objects in any kind of random order. That's not ver... | {
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https://api.github.com/repos/huggingface/transformers/issues/10800 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10800/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10800/comments | https://api.github.com/repos/huggingface/transformers/issues/10800/events | https://github.com/huggingface/transformers/issues/10800 | 835,347,217 | MDU6SXNzdWU4MzUzNDcyMTc= | 10,800 | How to get a probability for the result of t5_tokenizer.decode(output,...)? | {
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"Hello, thanks for opening an issue! We try to keep the github issues for bugs/feature requests.\r\nCould you ask your question on the [forum](https://discusss.huggingface.co) instead?\r\n\r\nThanks!"
] | 1,616 | 1,616 | 1,616 | NONE | null | Hello,
I am using `t5-base` to map phrases into categories, for example: "I want to eat" -> "hunger".
Is there any way to get the probability for `result` values?
For example, if the input is "He is hungry", the model returns 5 labels. These results seem to be ordered by some relevance rank, so that the most rel... | {
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https://api.github.com/repos/huggingface/transformers/issues/10799 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10799/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10799/comments | https://api.github.com/repos/huggingface/transformers/issues/10799/events | https://github.com/huggingface/transformers/pull/10799 | 835,259,226 | MDExOlB1bGxSZXF1ZXN0NTk1OTQyODg5 | 10,799 | Expand a bit the presentation of examples | {
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"I'd be super-handy to link directly to suitable datasets and models for each example as in \r\n- https://huggingface.co/datasets?search=squad\r\n- https://huggingface.co/models?filter=squad\r\n\r\nmay be this could be an easy first good issue.\r\n\r\nSome of the keywords and whether to use `?filter=` or `?search=`... | 1,616 | 1,616 | 1,616 | COLLABORATOR | null | # What does this PR do?
This PR adds a bit more information to the examples README (main and specific per example), copying some information from the main philosophy and expanding a bit, to make sure all users know what we want for the examples. | {
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https://api.github.com/repos/huggingface/transformers/issues/10798 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10798/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10798/comments | https://api.github.com/repos/huggingface/transformers/issues/10798/events | https://github.com/huggingface/transformers/issues/10798 | 835,173,316 | MDU6SXNzdWU4MzUxNzMzMTY= | 10,798 | Truncated words on GPT-2 output | {
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"Hello, thanks for opening an issue! We try to keep the github issues for bugs/feature requests.\r\nCould you ask your question on the [forum](https://discusss.huggingface.co) instead?\r\n\r\nThanks!"
] | 1,616 | 1,616 | 1,616 | NONE | null | Hi! I use the GPT-2 model for the seq2seq task, but unfortunately, at the output of the model, words are cut off and sentences are not added, how can I make the model end sentences at the output and not cut off words? (increasing the maximum length does not correct the situation)
P.S.
I'm sorry, this question is prob... | {
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https://api.github.com/repos/huggingface/transformers/issues/10797 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10797/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10797/comments | https://api.github.com/repos/huggingface/transformers/issues/10797/events | https://github.com/huggingface/transformers/issues/10797 | 835,097,282 | MDU6SXNzdWU4MzUwOTcyODI= | 10,797 | Pretrained XLNetTokenizer not returning tokenizer | {
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"Hello! This is weird, you should be gotten an error before even being able to instantiate the tokenizer with `from_pretrained`. Such an error:\r\n```\r\nImportError: \r\nXLNetTokenizer requires the SentencePiece library but it was not found in your environment. Checkout the instructions on the\r\ninstallation page... | 1,616 | 1,616 | 1,616 | 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: 4.4.1
- Platform: Linux-4.19.112+-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.7.10
- PyTorch version... | {
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https://api.github.com/repos/huggingface/transformers/issues/10796 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10796/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10796/comments | https://api.github.com/repos/huggingface/transformers/issues/10796/events | https://github.com/huggingface/transformers/pull/10796 | 835,076,309 | MDExOlB1bGxSZXF1ZXN0NTk1Nzg4MDU1 | 10,796 | [Example] Fix a NaN bug in the flax mlm example | {
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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)... | 1,616 | 1,619 | 1,619 | CONTRIBUTOR | null | ## What does this PR do?
Fix a NaN bug in the flax masked language model example. This is a bug introduced in #9133
The min should be max. Otherwise, we will get a NaN.
## Who can review?
@TevenLeScao @mfuntowicz | {
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https://api.github.com/repos/huggingface/transformers/issues/10795 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10795/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10795/comments | https://api.github.com/repos/huggingface/transformers/issues/10795/events | https://github.com/huggingface/transformers/pull/10795 | 835,061,149 | MDExOlB1bGxSZXF1ZXN0NTk1Nzc1ODc0 | 10,795 | Fix distributed evaluation | {
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#10778 introduced a bug in the distributed evaluation, this PR fixes it.
cc @philschmid | {
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https://api.github.com/repos/huggingface/transformers/issues/10794 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10794/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10794/comments | https://api.github.com/repos/huggingface/transformers/issues/10794/events | https://github.com/huggingface/transformers/pull/10794 | 835,058,322 | MDExOlB1bGxSZXF1ZXN0NTk1NzczNTgx | 10,794 | Add new community notebook - wav2vec2 with GPT | {
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"Do you want to take a look @patrickvonplaten?",
"thanks a lot!!!"
] | 1,616 | 1,618 | 1,616 | CONTRIBUTOR | null | * Update:community.md, new nb add
* feat: notebook of wav2vec xlsr ctc decoding with gpt logit adjustment
* Update: Wav2vec2 CTC decoding with gpt2 adjustment
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https://api.github.com/repos/huggingface/transformers/issues/10792 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10792/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10792/comments | https://api.github.com/repos/huggingface/transformers/issues/10792/events | https://github.com/huggingface/transformers/pull/10792 | 834,938,151 | MDExOlB1bGxSZXF1ZXN0NTk1NjcwMzQw | 10,792 | [Example] Updating Question Answering examples for Predict Stage | {
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Fixes #10482
1. It fixes the error that comes while using SQAUD_V2 on question-answering task using `max_val_sample_***`
2. Adds predict method for question-answering examples
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that... | {
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"I think the `DataCollatorForSeq2Seq` should be used in all cases as it does more than just padding. If you want to suggest a PR with the fix, that would be more than welcome!",
"Assuming the goal is:\r\n- using DataCollatorForSeq2Seq in Seq2SeqTrainer as default when no data_collator is provided, while keeping t... | 1,616 | 1,616 | 1,616 | 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: '4.5.0.dev0' (from source)
- Platform: Linux
- Python version: 3.6.9
- PyTorch version (GPU?): '1.8.0' (yes)... | {
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https://api.github.com/repos/huggingface/transformers/issues/10790 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10790/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10790/comments | https://api.github.com/repos/huggingface/transformers/issues/10790/events | https://github.com/huggingface/transformers/issues/10790 | 834,686,073 | MDU6SXNzdWU4MzQ2ODYwNzM= | 10,790 | HerbertTokenizer doesn't work on version 3.5.1 | {
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"I guess this is related to URL issue #10744 ? and one should change model URL",
"I resolved this by updating URL's to models, this is my current code:\r\n```PRETRAINED_VOCAB_FILES_MAP = {\r\n \"vocab_file\": {\"allegro/herbert-base-cased\": \"https://huggingface.co/allegro/herbert-base-cased/resolve/main/voca... | 1,616 | 1,616 | 1,616 | CONTRIBUTOR | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: 3.5.1
- Platform: MacOS X, Linux
- Python version: 3.7
- PyTorch version (GPU?): 1.6.0
### Who can help
... | {
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https://api.github.com/repos/huggingface/transformers/issues/10789 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10789/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10789/comments | https://api.github.com/repos/huggingface/transformers/issues/10789/events | https://github.com/huggingface/transformers/issues/10789 | 834,684,138 | MDU6SXNzdWU4MzQ2ODQxMzg= | 10,789 | [Deepspeed ZeRO-3] Broken model save on fresh Transformers branch | {
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"name": "DeepSpeed",
"color": "4D34F7",
"default": false,
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"I'm getting a similar problem after training BERT with MLM using DeepSpeed where all the saved weights are of size 1. The same `run_mlm` script worked as expected if I didn't use DeepSpeed.\r\n\r\n`RuntimeError: Error(s) in loading state_dict for BertForSequenceClassification:\r\n size mismatch for bert.emb... | 1,616 | 1,619 | 1,619 | NONE | null | I have my own model, which utilize two T5 encoders, and I train it via DeepSpeed. It has it's own save_pretrained() and from_pretrained() methods, which makes a custom load/save logic:
https://github.com/exelents/try_t5_siamese/blob/4140194978ac113c45e7370f40b3d9b932d0b35b/siamese_model.py#L80
When I run training a... | {
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https://api.github.com/repos/huggingface/transformers/issues/10788 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10788/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10788/comments | https://api.github.com/repos/huggingface/transformers/issues/10788/events | https://github.com/huggingface/transformers/issues/10788 | 834,514,520 | MDU6SXNzdWU4MzQ1MTQ1MjA= | 10,788 | TypeError: __init__() got an unexpected keyword argument 'filepath' when using RAG model | {
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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)... | 1,616 | 1,619 | 1,619 | NONE | null | I was finetuning RAG model with cmd:
python finetune_rag.py \
--data_dir ../../../../data/ms-marco/ \
--output_dir ../../../../data/ms-marco/ \
--model_name_or_path ~/model/rag/rag/rag-sequence-nq \
--model_type rag_sequence \
--fp16 \
--gpus 8 \
--do_train --do_predict
where ... | {
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https://api.github.com/repos/huggingface/transformers/issues/10787 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10787/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10787/comments | https://api.github.com/repos/huggingface/transformers/issues/10787/events | https://github.com/huggingface/transformers/issues/10787 | 834,513,340 | MDU6SXNzdWU4MzQ1MTMzNDA= | 10,787 | Can DeepSpeed ZeRO-3 be applied for training? | {
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"Hi! You might find this reply https://github.com/huggingface/transformers/issues/10789#issuecomment-802100991 by @stas00 of interest.",
"@avionkmh, very soon it'll be supported, you may want to track: https://github.com/huggingface/transformers/pull/10753",
"@stas00, @LysandreJik, thank you for your kind info... | 1,616 | 1,634 | 1,634 | NONE | null | # 🌟 New model addition
We have applied DeepSpeed v0.3.10(ZeRO-2) on T5 training.
I heard DeepSpeed ZeRO-3 library has been released 10 days ago(8/MAR).
I'd like to adopt ZeRO-3 for our training.
Can this library be applied, especially for T5 training?
Do you have any experience applying this library?
If any... | {
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https://api.github.com/repos/huggingface/transformers/issues/10786 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10786/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10786/comments | https://api.github.com/repos/huggingface/transformers/issues/10786/events | https://github.com/huggingface/transformers/pull/10786 | 834,504,819 | MDExOlB1bGxSZXF1ZXN0NTk1MzA2NjIy | 10,786 | Add XLSR-Wav2Vec2 Fine-Tuning README.md | {
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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/10785 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10785/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10785/comments | https://api.github.com/repos/huggingface/transformers/issues/10785/events | https://github.com/huggingface/transformers/issues/10785 | 834,366,170 | MDU6SXNzdWU4MzQzNjYxNzA= | 10,785 | Typo in M2M100 model page | {
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"Indeed! Pinging @patil-suraj ",
"urgh, my bad. Thanks for pointing it out. fixed!"
] | 1,616 | 1,616 | 1,616 | CONTRIBUTOR | null | Seems like there's a typo in the [m2m 100 page](https://huggingface.co/facebook/m2m100_418M):
```python
from transformers import M2M100ForConditionalGeneration, M2M100Tokenizer
hi_text = "जीवन एक चॉकलेट बॉक्स की तरह है।"
chinese_text = "生活就像一盒巧克力。"
model = M2M100ForConditionalGeneration.from_pretrained("faGree... | {
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https://api.github.com/repos/huggingface/transformers/issues/10784 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10784/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10784/comments | https://api.github.com/repos/huggingface/transformers/issues/10784/events | https://github.com/huggingface/transformers/issues/10784 | 834,338,147 | MDU6SXNzdWU4MzQzMzgxNDc= | 10,784 | How to interpret fine-tuned model results and use model | {
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"Hello, thanks for opening an issue! We try to keep the github issues for bugs/feature requests.\r\nCould you ask your question on the [forum](https://discusss.huggingface.co) instead?\r\n\r\n@patrickvonplaten @stas00 \r\n\r\nThanks!",
"@LysandreJik Thanks for pointing me in the right direction, I've moved the po... | 1,616 | 1,616 | 1,616 | NONE | null | Hello,
Apologies if this is the wrong forum to ask these kinds of questions, but I was unable to find this in the documentation.
I fine-tuned a seq2seq model on my custom dataset using the tutorial found here: https://github.com/huggingface/transformers/tree/master/examples/seq2seq
I am trying to find out the ... | {
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https://api.github.com/repos/huggingface/transformers/issues/10783 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10783/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10783/comments | https://api.github.com/repos/huggingface/transformers/issues/10783/events | https://github.com/huggingface/transformers/pull/10783 | 834,326,129 | MDExOlB1bGxSZXF1ZXN0NTk1MTY0MzYy | 10,783 | Fix bug in input check for LengthGroupSampler | {
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This commit fixes a bug in the LengthGroupSampler where if
model_input_name is not set, the default value is None instead of
"input_ids"
## 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 [c... | {
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This PR adds support for detecting Intel TF version. | {
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https://api.github.com/repos/huggingface/transformers/issues/10780 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10780/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10780/comments | https://api.github.com/repos/huggingface/transformers/issues/10780/events | https://github.com/huggingface/transformers/pull/10780 | 834,150,080 | MDExOlB1bGxSZXF1ZXN0NTk1MDI4MTE1 | 10,780 | Improve the speed of adding tokens from added_tokens.json | {
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"Hi! Could you provide a way to benchmark the change so that we can see in which situations is the speedup visible? Thank you!",
"> Hi! Could you provide a way to benchmark the change so that we can see in which situations is the speedup visible? Thank you!\r\n\r\nHi @LysandreJik , I just updated the benchmark co... | 1,616 | 1,617 | 1,617 | CONTRIBUTOR | null | # What does this PR do?
This PR significantly improves the speed of adding tokens from `added_tokens.json`, when it contains a large number of tokens (e.g., 20,000+). When adding one token at a time, it uses `bisect` to insert the token into `PreTrainedTokenizer.unique_no_split_tokens`. Please see a detailed descrip... | {
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"Hey @LarsHill, \r\n\r\nYes, we should fix this indeed :-) I'll try to open a PR for this this week!",
"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 foll... | 1,616 | 1,620 | null | NONE | null | ## Who can help
@patrickvonplaten, @patil-suraj
## Information
When instantiating an `EncoderDecoderModel` from two pretrained models whose model dimensions are different, a `RunTimeError` occurs at the `CrossAttention` calculation step.
The reason is, that regardless of a potentially different encoder model... | {
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https://api.github.com/repos/huggingface/transformers/issues/10778 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10778/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10778/comments | https://api.github.com/repos/huggingface/transformers/issues/10778/events | https://github.com/huggingface/transformers/pull/10778 | 834,062,442 | MDExOlB1bGxSZXF1ZXN0NTk0OTU1OTYx | 10,778 | Smmp batch not divisible by microbatches fix | {
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"Thanks @mansimane !\r\nI added the test and realized the implementation was not working as expected, so fixed it (I had forgotten this does not behave like the `DistributedSampler` that takes one sample every other num_replicas but sliced the indices at the beginning). If you want to have a last look to check I di... | 1,616 | 1,616 | 1,616 | CONTRIBUTOR | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/10777 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10777/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10777/comments | https://api.github.com/repos/huggingface/transformers/issues/10777/events | https://github.com/huggingface/transformers/pull/10777 | 834,034,924 | MDExOlB1bGxSZXF1ZXN0NTk0OTMzNTI0 | 10,777 | [trainer] make failure to find a resume checkpoint fatal + tests | {
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- makes a failure to find a valid checkpoint to resume from fatal - when an explicit `resume_from_checkpoint` was passed
- extends `test_can_resume_training` to validate this change and also the boolean `resume_from_checkpoint` case.
... | {
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https://api.github.com/repos/huggingface/transformers/issues/10776 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10776/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10776/comments | https://api.github.com/repos/huggingface/transformers/issues/10776/events | https://github.com/huggingface/transformers/pull/10776 | 833,996,820 | MDExOlB1bGxSZXF1ZXN0NTk0OTAxNzcw | 10,776 | [examples] document resuming | {
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@sgugger | {
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This PR update the check_copies utils to apply black when checking if a copy has diverged from the original when replacement happen. An example of the problem is given with the diff in `modeling_mobilebert.py` here, where the check copies could not be applied to whole class because of styling... | {
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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)... | 1,615 | 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-cli convert --model_type albert
--tf_checkpoint $ALBERT_BASE_DIR/model.ckpt-64000
--config $ALBERT_BASE_DIR/albert_config.js... | {
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https://api.github.com/repos/huggingface/transformers/issues/10773 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10773/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10773/comments | https://api.github.com/repos/huggingface/transformers/issues/10773/events | https://github.com/huggingface/transformers/pull/10773 | 833,791,822 | MDExOlB1bGxSZXF1ZXN0NTk0NzI5NDQz | 10,773 | Wav2Vec2 - fix flaky test | {
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https://api.github.com/repos/huggingface/transformers/issues/10772 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10772/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10772/comments | https://api.github.com/repos/huggingface/transformers/issues/10772/events | https://github.com/huggingface/transformers/issues/10772 | 833,741,207 | MDU6SXNzdWU4MzM3NDEyMDc= | 10,772 | Differences between S2T and Wav2Vec2 | {
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"@patrickvonplaten \r\nWho should I tag for S2T ?",
"@patil-suraj for s2t",
"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 guid... | 1,615 | 1,619 | 1,619 | CONTRIBUTOR | 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. -->
There seem to be differences between S2T and Wav2Vec2 which are hard to understand reason about that may be fixable.
## Motivation
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https://api.github.com/repos/huggingface/transformers/issues/10771 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10771/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10771/comments | https://api.github.com/repos/huggingface/transformers/issues/10771/events | https://github.com/huggingface/transformers/pull/10771 | 833,710,983 | MDExOlB1bGxSZXF1ZXN0NTk0NjYxMDc0 | 10,771 | Fix ProphetNet Flaky Test | {
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"I may be mistaken, but this test has appeared since the ProphetNet refactor, right? Is it due to that refactor, or is it a newly added test? "
] | 1,615 | 1,615 | 1,615 | MEMBER | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/10770 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10770/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10770/comments | https://api.github.com/repos/huggingface/transformers/issues/10770/events | https://github.com/huggingface/transformers/issues/10770 | 833,630,809 | MDU6SXNzdWU4MzM2MzA4MDk= | 10,770 | TAPAS for Question Generation | {
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"Yes you can. TAPAS is an encoder-model, and can be used in an encoder-decoder set-up, like so:\r\n\r\n```\r\nfrom transformers import EncoderDecoderModel\r\n\r\nmodel = EncoderDecoderModel.from_encoder_decoder_pretrained(\"google/tapas-base\", \"bert-base-cased\")\r\n```\r\nYou can specify any decoder you want, he... | 1,615 | 1,642 | 1,620 | NONE | null | Hi,
Is there a way to generate questions for a table with TAPAS ? or is it only for Question Answering ? | {
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https://api.github.com/repos/huggingface/transformers/issues/10769 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10769/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10769/comments | https://api.github.com/repos/huggingface/transformers/issues/10769/events | https://github.com/huggingface/transformers/pull/10769 | 833,619,948 | MDExOlB1bGxSZXF1ZXN0NTk0NTg1NzI3 | 10,769 | [Generate] Add save mode logits processor to remove nans and infs if necessary | {
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https://api.github.com/repos/huggingface/transformers/issues/10768 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10768/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10768/comments | https://api.github.com/repos/huggingface/transformers/issues/10768/events | https://github.com/huggingface/transformers/issues/10768 | 833,572,974 | MDU6SXNzdWU4MzM1NzI5NzQ= | 10,768 | Bug in multi-gpu training setting max_iters | {
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"There is no `--max_iters` argument in the `run_summarization` script, so I'm not sure what you're referring.",
"Hi\r\nI apologize for the typo, this is max_steps, if you set it and run a code\r\nin a distributed way and compare it with non-distributed way, the number of\r\nsteps would not differ, but if you try ... | 1,615 | 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: 4.3.3
- Platform:
- Python version: 3.8
- PyTorch version (GPU?): 1.8
- Tensorflow version (GPU?): -
- Us... | {
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https://api.github.com/repos/huggingface/transformers/issues/10767 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10767/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10767/comments | https://api.github.com/repos/huggingface/transformers/issues/10767/events | https://github.com/huggingface/transformers/pull/10767 | 833,497,142 | MDExOlB1bGxSZXF1ZXN0NTk0NDg0NTk4 | 10,767 | add run_common_voice script | {
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This PR adds `run_common_voice.py` script to fine-tune XLSR-Wav2Vec2 models on `common_voice` dataset
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https://api.github.com/repos/huggingface/transformers/issues/10766 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10766/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10766/comments | https://api.github.com/repos/huggingface/transformers/issues/10766/events | https://github.com/huggingface/transformers/issues/10766 | 833,489,936 | MDU6SXNzdWU4MzM0ODk5MzY= | 10,766 | auto model encodings for a text snippet returns different floating values across different batch sizes | {
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"Hello! Thank you for your report. One question:\r\n- Do you still observe this when you're not using padding? Padding can influence values because of the padding tokens, even with attention masks.\r\n\r\nAlso, you're using a `_batch_to_device` method, but you should just be able to cast the batch to the device :)\... | 1,615 | 1,619 | 1,619 | NONE | null | ## Environment info
- `transformers` version: 4.4.1
- Platform: Linux-4.19.112+-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.7.10
- PyTorch version (GPU?): 1.8.0+cu101 (True)
- Tensorflow version (GPU?): 2.4.1 (True)
- Using GPU in script?: yes (but the bug issue is irrespective of it)
- Using distributed... | {
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https://api.github.com/repos/huggingface/transformers/issues/10765 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10765/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10765/comments | https://api.github.com/repos/huggingface/transformers/issues/10765/events | https://github.com/huggingface/transformers/issues/10765 | 833,444,270 | MDU6SXNzdWU4MzM0NDQyNzA= | 10,765 | Cannot import name swish from transformers.activations | {
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"Hi! `swish` is not importable because it isn't available. `swish` is another name for `silu`, but arrived after it so the name you can use is `silu`:\r\n\r\n```py\r\n>>> from transformers.activations import silu\r\n```\r\n\r\nHowever, in our `ACT2FN` dict we have support for both `swish` and `silu`, so that you ca... | 1,615 | 1,616 | 1,616 | NONE | null | I have installed `transformers v4.4.1` and `tensorflow v2.4.1`.
I tried to run
`from transformers.activations import gelu, gelu_new, swish`.
I get the error like this:
`ImportError: cannot import name 'swish' from 'transformers.activations' (/Users/array/opt/miniconda3/lib/python3.7/site-packages/transformers... | {
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https://api.github.com/repos/huggingface/transformers/issues/10764 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10764/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10764/comments | https://api.github.com/repos/huggingface/transformers/issues/10764/events | https://github.com/huggingface/transformers/issues/10764 | 833,441,728 | MDU6SXNzdWU4MzM0NDE3Mjg= | 10,764 | TokenClassificationPipeline: top-k predictions | {
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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)... | 1,615 | 1,619 | 1,619 | CONTRIBUTOR | null | # 🚀 Feature request
Optional argument for TokenClassificationPipeline to output top-k predictions instead of limiting output to argmax.
## Motivation
Having access to the top-k prediction distribution is useful in a number of scenarios, such as confidence calibration (https://arxiv.org/abs/1706.04599) or gene... | {
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https://api.github.com/repos/huggingface/transformers/issues/10763 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10763/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10763/comments | https://api.github.com/repos/huggingface/transformers/issues/10763/events | https://github.com/huggingface/transformers/issues/10763 | 833,426,345 | MDU6SXNzdWU4MzM0MjYzNDU= | 10,763 | TokenClassificationPipeline: ignoring subwords | {
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"Hello! Could you take a look at https://github.com/huggingface/transformers/pull/10568 and let me know if it's interesting for you? It proposes a refactor of the two keywords you mentioned.",
"> Hello! Could you take a look at #10568 and let me know if it's interesting for you? It proposes a refactor of the two ... | 1,615 | 1,619 | 1,619 | CONTRIBUTOR | null | ## Environment info
- `transformers` version: 4.4.1
- Platform: Linux-4.15.0-136-generic-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.6.9
- PyTorch version (GPU?): 1.8.0 (False)
- Tensorflow version (GPU?): not installed (NA)
- Using GPU in script?: No
- Using distributed or parallel set-up in script?: ... | {
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https://api.github.com/repos/huggingface/transformers/issues/10762 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10762/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10762/comments | https://api.github.com/repos/huggingface/transformers/issues/10762/events | https://github.com/huggingface/transformers/pull/10762 | 833,415,569 | MDExOlB1bGxSZXF1ZXN0NTk0NDE0ODU2 | 10,762 | [DeepSpeed] simplify init | {
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We already have the required version that includes that change in DeepSpeed in place.
@sgugger | {
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https://api.github.com/repos/huggingface/transformers/issues/10761 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10761/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10761/comments | https://api.github.com/repos/huggingface/transformers/issues/10761/events | https://github.com/huggingface/transformers/pull/10761 | 833,406,897 | MDExOlB1bGxSZXF1ZXN0NTk0NDA3MzI2 | 10,761 | [doc] [testing] extend the pytest -k section with more examples | {
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@sgugger | {
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https://api.github.com/repos/huggingface/transformers/issues/10760 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10760/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10760/comments | https://api.github.com/repos/huggingface/transformers/issues/10760/events | https://github.com/huggingface/transformers/pull/10760 | 833,388,462 | MDExOlB1bGxSZXF1ZXN0NTk0MzkxOTIy | 10,760 | [DeepSpeed] improve checkpoint loading code plus tests | {
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"Great, thank you for the feedback, @sgugger - I will add it separately https://github.com/huggingface/transformers/pull/10777"
] | 1,615 | 1,616 | 1,616 | CONTRIBUTOR | null | This PR further improves the DeepSpeed integration
* checkpoint resuming code has been cleaned up
* detailed checkpoint saving and resuming from checkpoint tests added
* a small reshuffle made in `test_trainer.py` to enable re-using helper functions in other test modules
* switched `test_trainer.py` to `TestCaseP... | {
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https://api.github.com/repos/huggingface/transformers/issues/10759 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10759/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10759/comments | https://api.github.com/repos/huggingface/transformers/issues/10759/events | https://github.com/huggingface/transformers/issues/10759 | 833,377,713 | MDU6SXNzdWU4MzMzNzc3MTM= | 10,759 | AlbertForMaskedLM always has bad results | {
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"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/master/CONTRIBUTING.md)... | 1,615 | 1,619 | 1,619 | NONE | null | I am the one who is using your great project.
I'm trying to make my own ALBERT language model using scratch from [here](https://mlcom.github.io/Create-Language-Model/)
This article seems similar to [your tutorial notebook.](https://colab.research.google.com/github/huggingface/blog/blob/master/notebooks/01_how_to_tr... | {
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https://api.github.com/repos/huggingface/transformers/issues/10758 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10758/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10758/comments | https://api.github.com/repos/huggingface/transformers/issues/10758/events | https://github.com/huggingface/transformers/issues/10758 | 833,348,275 | MDU6SXNzdWU4MzMzNDgyNzU= | 10,758 | Even slower when using multiple gpus with sharded_ddp | {
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"`--sharded_ddp` is not there to accelerate your training, it's there to save GPU memory (for very large models) at some cost on the training time. So if you can finetune on one GPU, you should definitely use this option.",
"@sgugger as long as I know sharded_ddp is only for distributed training, not sure why yo... | 1,615 | 1,619 | 1,619 | NONE | null | ## Environment info
- `transformers` version: 4.2.2
- Platform: Linux-3.10.0-1062.el7.x86_64-x86_64-with-centos-7.7.1908-Core
- Python version: 3.7.10
- PyTorch version (GPU?): 1.8.0 (True)
- Tensorflow version (GPU?): not installed (NA)
- Using GPU in script?: True
- Using distributed or parallel set-up in sc... | {
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https://api.github.com/repos/huggingface/transformers/issues/10757 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10757/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10757/comments | https://api.github.com/repos/huggingface/transformers/issues/10757/events | https://github.com/huggingface/transformers/issues/10757 | 833,329,189 | MDU6SXNzdWU4MzMzMjkxODk= | 10,757 | BERT for Regression predicts constant | {
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"Hello!\r\n\r\nI think this more a question to address on the forum https://discuss.huggingface.co/ as it doesn't looks like to be related to a bug in the library."
] | 1,615 | 1,616 | 1,616 | 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: 4.3.2
- Platform: Ubuntu?
- Python version: 3.8
- Tensorflow version (GPU?): 2.4.1 (Yes)
- Using GPU in scr... | {
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https://api.github.com/repos/huggingface/transformers/issues/10756 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10756/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10756/comments | https://api.github.com/repos/huggingface/transformers/issues/10756/events | https://github.com/huggingface/transformers/issues/10756 | 833,237,157 | MDU6SXNzdWU4MzMyMzcxNTc= | 10,756 | Google Colab TypeError: expected str, bytes or os.PathLike object, not NoneType | {
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"Hi @lenyabloko, indeed, there is an issue with the online repository of `xlm-clm-ende-1024`. @sgugger is currently fixing it right now. \r\n\r\nThanks for letting us know, we'll let you know when it is fixed.",
"It should be fixed now, thanks to @sgugger: [`huggingface#e824d7b`](https://huggingface.co/xlm-clm-en... | 1,615 | 1,617 | 1,616 | NONE | null | ## Environment info
- `transformers` version: 4.4.1
- Platform: Linux-4.19.112+-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.7.10
- PyTorch version (GPU?): 1.8.0+cu101 (True)
- Tensorflow version (GPU?): 2.4.1 (True)
The problem arises when using:
I started getting this error this morning without ... | {
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"Hello, thanks for opening an issue! We try to keep the github issues for bugs/feature requests.\r\nCould you ask your question on the [forum](https://discusss.huggingface.co) instead?\r\n\r\ncc @patrickvonplaten \r\n\r\nThanks!",
"Sure, no problem, sorry about that. There seems to be a typo in the forum link - f... | 1,615 | 1,615 | 1,615 | NONE | null | # 🚀 Feature request
Are there plans to implement online decoding for the speech recognition models such as wav2vec2 and XLSR? More specifically, to be able to receive audio in short chunks, and output partial transcripts as they become available.
## Motivation
Many use cases are covered by the current wav2vec... | {
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https://api.github.com/repos/huggingface/transformers/issues/10754 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10754/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10754/comments | https://api.github.com/repos/huggingface/transformers/issues/10754/events | https://github.com/huggingface/transformers/issues/10754 | 833,190,985 | MDU6SXNzdWU4MzMxOTA5ODU= | 10,754 | run_clm.py gpt-2 training example in documentation runs out of memory on a 32gb v100, should be verified and/or modified | {
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"The doc has not been updated since a while ago so it's probably not up to date yes. I think the corresponding script probably had different defaults in earlier versions (either a shorter sequence length or a shorter batch size).\r\n\r\nAs for your second question, the script does work with torch.distributed.launch... | 1,615 | 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: 4.3.3
- Platform: Linux-4.15.0-135-generic-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.6.9
- PyTor... | {
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"OK, the code-base is ready for review.\r\n\r\nI want to add a few more performance notes to the docs tomorrow.\r\n\r\nI will work on the wasteful weights init/preloading/ovewriting/resuming in a separate PR next, as it's all intertwined and will also look at how to make `from_pretrained` support all those differen... | 1,615 | 1,617 | 1,617 | CONTRIBUTOR | null | This PR implements DeepSpeed ZeR0 3 integration:
* [x] removes the "wind-down" of the deepspeed setup at the end of train, since zero3 can't do inference w/o this setup - we will have some other ways to reclaim memory for the no longer needed optimizer in the future.
* [x] adds initial support for eval w/o train - ... | {
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cc @patil-suraj | {
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"Thanks for opening this issue!\r\n\r\nI have not access to a computer to extract and read you archive, can you, please, share a Colab or copy/paste the code here in this issue. Thanks!",
"> Thanks for opening this issue!\r\n> \r\n> I have not access to a computer to extract and read you archive, can you, please,... | 1,615 | 1,619 | 1,619 | NONE | null | ## Environment info
- `transformers` version: 4.4.0
- Platform: Linux-4.19.112+-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.7.10
- PyTorch version (GPU?): 1.8.0+cu101 (True)
- Tensorflow version (GPU?): 2.4.1 (True)
- Using GPU in script?: no
- Using distributed or parallel set-up in script?: no
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https://api.github.com/repos/huggingface/transformers/issues/10750 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10750/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10750/comments | https://api.github.com/repos/huggingface/transformers/issues/10750/events | https://github.com/huggingface/transformers/pull/10750 | 833,119,183 | MDExOlB1bGxSZXF1ZXN0NTk0MTcyMjQ4 | 10,750 | Patches the full import failure and adds a test | {
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This adds a test in `test_file_utils.py` by trying to import the entire transformers. This failed before the proposed fix.
Fixes https://github.com/huggingface/transformers/issues/10749 | {
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"Hi, thank you for opening an issue. Could you respect the issue template? What code led to this error? What's your environment?\r\n\r\nI can run the following without any issues:\r\n```py\r\n>>> from transformers import IBertModel\r\n>>> model = IBertModel.from_pretrained(\"kssteven/ibert-roberta-base\")\r\n```\r\... | 1,615 | 1,615 | 1,615 | NONE | null | Hi, I am using Colab for a sentiment analysis model.
The code suddenly stopped working after a fresh run from yesterday.
I noticed that a new version of transformers was released which caused this issue to appear.
when trying to import I get this error message:
`ModuleNotFoundError: No module named 'sentencepi... | {
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https://api.github.com/repos/huggingface/transformers/issues/10748 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10748/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10748/comments | https://api.github.com/repos/huggingface/transformers/issues/10748/events | https://github.com/huggingface/transformers/pull/10748 | 832,922,044 | MDExOlB1bGxSZXF1ZXN0NTk0MDA1MzMw | 10,748 | Fix URLs from #10744 | {
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Forgot the `resole/main` in the URLs in #10744 (cc @julien-c)
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"Hello! Have you checked the [\"Important note\" at the top of the examples README](https://github.com/huggingface/transformers/tree/master/examples#important-note)? \r\n\r\nDid you get this error with a source install?",
"@LysandreJik that does the trick - I'll be more thorough in the future with my reading :)"
... | 1,615 | 1,615 | 1,615 | NONE | null | Hey,
I just recently wanted to pre-train on top of a BERT model, and ran into some issues. When I run `python run_mlm.py`,
I get the following error:
```
Traceback (most recent call last):
File "run_mlm.py", line 46, in <module>
from transformers.utils import check_min_version
ImportError: cannot import ... | {
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https://api.github.com/repos/huggingface/transformers/issues/10746 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10746/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10746/comments | https://api.github.com/repos/huggingface/transformers/issues/10746/events | https://github.com/huggingface/transformers/pull/10746 | 832,875,116 | MDExOlB1bGxSZXF1ZXN0NTkzOTY1Mzcy | 10,746 | Add DistributedSamplerWithLoop | {
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This PR adds a new distributed sampler that will provide a round multiple of the batch size samples on all processes by looping back at the beginning of the (shuffled) dataset. This is useful:
- for TPUs to avoid triggering a new XLA compilation for the last training batch
- for model paral... | {
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https://api.github.com/repos/huggingface/transformers/issues/10744 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10744/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10744/comments | https://api.github.com/repos/huggingface/transformers/issues/10744/events | https://github.com/huggingface/transformers/pull/10744 | 832,872,035 | MDExOlB1bGxSZXF1ZXN0NTkzOTYyNzc3 | 10,744 | Remove old links to CDN | {
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"those are not valid files though (check the url template for the other models)",
"Oopsie, thanks for flagging!"
] | 1,615 | 1,615 | 1,615 | COLLABORATOR | null | # What does this PR do?
This PR removes a few links left pointing to `https://cdn.huggingface.co` instead of `https://huggingface.co` (purely cosmetic since they are not actually used anymore, normally). | {
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https://api.github.com/repos/huggingface/transformers/issues/10743 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10743/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10743/comments | https://api.github.com/repos/huggingface/transformers/issues/10743/events | https://github.com/huggingface/transformers/pull/10743 | 832,865,921 | MDExOlB1bGxSZXF1ZXN0NTkzOTU3NTk4 | 10,743 | Fix DeBERTa + Conversational pipeline slow tests | {
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https://api.github.com/repos/huggingface/transformers/issues/10742 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10742/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10742/comments | https://api.github.com/repos/huggingface/transformers/issues/10742/events | https://github.com/huggingface/transformers/issues/10742 | 832,824,859 | MDU6SXNzdWU4MzI4MjQ4NTk= | 10,742 | DialoGPT- cannot increase number of conversation turns | {
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"Hey @albusdemens,\r\n\r\nSorry I don't follow here completely. Does the model crash after 6 turns or does it just give a qualitatively bad answer?",
"Hey @patrickvonplaten, the second option (the quality of the answers is noticeably worse). Often I get outputs like `?!!`, `!.!!?!?` and similar. Usually low quali... | 1,615 | 1,617 | 1,617 | NONE | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: 3.5.1
- Platform: Linux-5.4.0-58-generic-x86_64-with-debian-bullseye-sid
- Python version: 3.6.13
- PyTorch ... | {
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https://api.github.com/repos/huggingface/transformers/issues/10741 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10741/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10741/comments | https://api.github.com/repos/huggingface/transformers/issues/10741/events | https://github.com/huggingface/transformers/pull/10741 | 832,755,600 | MDExOlB1bGxSZXF1ZXN0NTkzODY0MjU4 | 10,741 | Fix S2T example | {
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"No worries, the doctests will catch that when they're re-enabled! Hopefully sooner rather than later."
] | 1,615 | 1,615 | 1,615 | MEMBER | null | cc @patil-suraj | {
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https://api.github.com/repos/huggingface/transformers/issues/10740 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10740/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10740/comments | https://api.github.com/repos/huggingface/transformers/issues/10740/events | https://github.com/huggingface/transformers/issues/10740 | 832,670,610 | MDU6SXNzdWU4MzI2NzA2MTA= | 10,740 | BigBird | {
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"hi @slvcsl \r\n\r\n`BigBird` is till WIP and not yet added into the lib,. You can follow the progress here #10183\r\n\r\n",
"Thank you for your response. I'll check it out!",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed... | 1,615 | 1,619 | 1,619 | NONE | null | ## Environment info
- `transformers` version: 4.4.0.dev0
- Platform: Linux-5.3.0-64-generic-x86_64-with-glibc2.30
- Python version: 3.9.2
- PyTorch version (GPU?): 1.8.0 (True)
- Tensorflow version (GPU?): not installed (NA)
- Using GPU in script?: Y
- Using distributed or parallel set-up in script?: N
### Wh... | {
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https://api.github.com/repos/huggingface/transformers/issues/10739 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10739/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10739/comments | https://api.github.com/repos/huggingface/transformers/issues/10739/events | https://github.com/huggingface/transformers/issues/10739 | 832,664,582 | MDU6SXNzdWU4MzI2NjQ1ODI= | 10,739 | Tokenizer becomes very slow after adding new tokens | {
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"Hey @shauli-ravfogel, this should have been fixed on `master`. Can you try installing from source and let me know if it works better?",
"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... | 1,615 | 1,621 | 1,621 | 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: Linux-5.4.0-58-generic-x86_64-with-debian-bullseye-sid
- Python version: 3.7.9
- PyTorch v... | {
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https://api.github.com/repos/huggingface/transformers/issues/10738 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10738/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10738/comments | https://api.github.com/repos/huggingface/transformers/issues/10738/events | https://github.com/huggingface/transformers/issues/10738 | 832,657,611 | MDU6SXNzdWU4MzI2NTc2MTE= | 10,738 | load wav2vec model from local path | {
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"hi @roboticsai \r\n\r\n`from_pretrained` expects path of the directory where it can find `config.json` and `pytorch_model.bin` files. It seems that you haven't saved the model using `save_pretrained`. \r\n\r\nTo use `from_pretrained`, the model should be saved using `save_pretrained` method.",
"This issue has be... | 1,615 | 1,619 | 1,619 | NONE | null | I'm trying to run the wav2vec based ASR on my machine. This is my code:
```
import soundfile as sf
import torch
from transformers import Wav2Vec2ForMaskedLM, Wav2Vec2Tokenizer
# load pretrained model
cp = "./my_model_directory/wav2vec_small.pt"
tokenizer = Wav2Vec2Tokenizer.from_pretrained(cp)
model = Wav2Ve... | {
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https://api.github.com/repos/huggingface/transformers/issues/10737 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10737/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10737/comments | https://api.github.com/repos/huggingface/transformers/issues/10737/events | https://github.com/huggingface/transformers/issues/10737 | 832,585,020 | MDU6SXNzdWU4MzI1ODUwMjA= | 10,737 | `group_texts` duplicates special tokens | {
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"ELECTRA or BERT are not pretrained using this option, so you should use `--line_by_line` to mimick their pretraining objective.\r\n\r\nAlso note that this is a generic example, not an actual pretraining script (for instance the BERT next sentence prediction objective is not there). It's purpose is to expose all da... | 1,615 | 1,621 | 1,616 | 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: 4.3.2
- Platform: Linux-5.4.0-66-generic-x86_64-with-debian-buster-sid
- Python version: 3.7.9
- PyTorch ver... | {
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https://api.github.com/repos/huggingface/transformers/issues/10736 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/10736/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/10736/comments | https://api.github.com/repos/huggingface/transformers/issues/10736/events | https://github.com/huggingface/transformers/issues/10736 | 832,482,209 | MDU6SXNzdWU4MzI0ODIyMDk= | 10,736 | Position ids in RoBERTa | {
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"There's a reason why position ids don't start at 0 for RoBERTa, see #5285",
"`RoBERTa` never uses 0 and 1 positional ids, in `ROBERTa`, all pad tokens have position id of 1, and the rest of the tokens have position ids in the range `(2, seq_length - num_pad_tokens)`. It's implemented like this to match the orig... | 1,615 | 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: Ubuntu 20.04
- Python version: Python 3.7.10
- PyTorch version (GPU?): 1.6.0_py3.7_cuda10.1.243_... | {
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