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https://api.github.com/repos/huggingface/transformers/issues/21890 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21890/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21890/comments | https://api.github.com/repos/huggingface/transformers/issues/21890/events | https://github.com/huggingface/transformers/issues/21890 | 1,606,034,796 | I_kwDOCUB6oc5fuiVs | 21,890 | [Time-Series] Autoformer - Transformer For Time-Series Forecasting | {
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Following #20903 and #21099, Autoformer is the next Transformer in the series, published in NIPS 21.
* Paper: [Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting
](https://arxiv.org/abs/2106.13008)
* Model implementation: https://github.com/thuml/Auto... | {
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https://api.github.com/repos/huggingface/transformers/issues/21889 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21889/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21889/comments | https://api.github.com/repos/huggingface/transformers/issues/21889/events | https://github.com/huggingface/transformers/pull/21889 | 1,605,722,082 | PR_kwDOCUB6oc5LElAc | 21,889 | Add `inputs_embeds` functionality when generating with BioGPT | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"review request: @gante ",
"Thanks for your contribution!"
] | 1,677 | 1,677 | 1,677 | CONTRIBUTOR | null | # What does this PR do?
This PR extends https://github.com/huggingface/transformers/pull/21405 by @gante to BioGPT, making it accept inputs_embeds when generating.
```
import torch
from transformers import BioGptTokenizer, BioGptForCausalLM
model = BioGptForCausalLM.from_pretrained("microsoft/biogpt")
... | {
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https://api.github.com/repos/huggingface/transformers/issues/21888 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21888/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21888/comments | https://api.github.com/repos/huggingface/transformers/issues/21888/events | https://github.com/huggingface/transformers/issues/21888 | 1,605,668,576 | I_kwDOCUB6oc5ftI7g | 21,888 | `shuffle` argument when initializing Sampler-related classes in `trainer.py` | {
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"`shuffle=True` is the default for this DistributedSampler (see [doc](https://pytorch.org/docs/stable/data.html#torch.utils.data.distributed.DistributedSampler)). There is no need to pass it.",
"You are right, my bad. I overlooked the documentation."
] | 1,677 | 1,677 | 1,677 | CONTRIBUTOR | null | ### Feature request
Add support for an additional keyword argument (`shuffle`) in `DistributedSampler` (https://github.com/huggingface/transformers/blob/main/src/transformers/trainer.py#L839).
### Motivation
It samples data in a deterministic way across multiple processes. However, when using a contiguous arra... | {
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https://api.github.com/repos/huggingface/transformers/issues/21887 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21887/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21887/comments | https://api.github.com/repos/huggingface/transformers/issues/21887/events | https://github.com/huggingface/transformers/pull/21887 | 1,605,566,654 | PR_kwDOCUB6oc5LEDAf | 21,887 | Mark pipeline tests to skip them easily | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,677 | 1,677 | 1,677 | COLLABORATOR | null | # What does this PR do?
This PR re-introduces the `is_pipeline_test` marker to easily flag pipeline tests. The problem is that since #21516 pipeline tests aren't isolated in the pipelines folder anymore (it looks like it but there is an inheritance of the pipeline tester in all model test classes). Thus the `is_pipe... | {
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https://api.github.com/repos/huggingface/transformers/issues/21886 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21886/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21886/comments | https://api.github.com/repos/huggingface/transformers/issues/21886/events | https://github.com/huggingface/transformers/pull/21886 | 1,605,563,745 | PR_kwDOCUB6oc5LECYg | 21,886 | Fix pipe comm test | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,677 | 1,677 | 1,677 | COLLABORATOR | null | # What does this PR do?
PR #21600 added task `zero-shot-audio-classification`:
```python
"zero-shot-audio-classification": {
"impl": ZeroShotAudioClassificationPipeline,
"tf": (TFAutoModel,) if is_tf_available() else (),
"pt": (AutoModel,) if is_torch_available() else (),
"d... | {
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https://api.github.com/repos/huggingface/transformers/issues/21885 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21885/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21885/comments | https://api.github.com/repos/huggingface/transformers/issues/21885/events | https://github.com/huggingface/transformers/issues/21885 | 1,605,489,098 | I_kwDOCUB6oc5fsdHK | 21,885 | Text-classification example does not work as is on 4.27.0.dev | {
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"cc @Rocketknight1 ",
"My bad :(. It was trying to use for GPT-J instead of distilbert-base-cased",
"Ah yes - CLM models generally need some modifications to transfer to text classification tasks, including adding a padding token. Their performance is also usually worse. Using a MLM (masked language model, li... | 1,677 | 1,677 | 1,677 | NONE | null | ### System Info
Transformer : 4.27.0.dev
Example in : examples/tensorflow/text-classification/run_glue.py
fails when running example given in README.
"""
python run_glue.py \
--model_name_or_path distilbert-base-cased \
--task_name mnli \
--do_train \
--do_eval \
--do_predict \
--output_dir outdir \
... | {
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https://api.github.com/repos/huggingface/transformers/issues/21884 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21884/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21884/comments | https://api.github.com/repos/huggingface/transformers/issues/21884/events | https://github.com/huggingface/transformers/issues/21884 | 1,605,480,960 | I_kwDOCUB6oc5fsbIA | 21,884 | Add finetuning task support for GPT-J to 4.27.0.dev | {
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"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md) a... | 1,677 | 1,681 | 1,681 | NONE | null | ### Feature request
I have tried running fine-tuning tasks including QA, Summarization and text classification with GPT-J. As of now only QA could be made working with a minor hack to use distillbert tokenizer. Not sure if this is best. Other tasks do not work for GPT-J. Any help appreciated.
Thanks
### Motivation
... | {
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https://api.github.com/repos/huggingface/transformers/issues/21883 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21883/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21883/comments | https://api.github.com/repos/huggingface/transformers/issues/21883/events | https://github.com/huggingface/transformers/pull/21883 | 1,605,412,666 | PR_kwDOCUB6oc5LDh6e | 21,883 | Fix `WhisperModelTest` | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,677 | 1,677 | 1,677 | COLLABORATOR | null | # What does this PR do?
### Fix `test_model_parallelism` for `Whisper`
A merged PR `Add WhisperTokenizerFast` (#21222) (02/21) started failing `test_model_parallelism` .
That PR didn't change relevant test/modeling file, but just changed the model tester's vocab size from `99` to `200`.
When I traced it, I f... | {
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https://api.github.com/repos/huggingface/transformers/issues/21882 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21882/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21882/comments | https://api.github.com/repos/huggingface/transformers/issues/21882/events | https://github.com/huggingface/transformers/pull/21882 | 1,605,373,543 | PR_kwDOCUB6oc5LDZiA | 21,882 | Fix Gradient checkpointing bug BigBird | {
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"Hey @saswatmeher -- looking at the diff and our CI, I'd say something went wrong with `make fixup`. My recommendation would be to update the installation on your end (`pip install -e .[dev] --upgrade`), for instance `ruff` got a recent update.\r\n\r\nAnd then run `make fixup` again :D",
"_The documentation is no... | 1,677 | 1,677 | 1,677 | CONTRIBUTOR | null | # What does this PR do?
This PR fixes a bug that a user can encounter while using generate and models that use gradient_checkpointing.
Fixes issue https://github.com/huggingface/transformers/issues/21737 for BigBird.
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] | 1,677 | 1,677 | 1,677 | MEMBER | null | This PR fixes an issue that occurred because we did two things at the same time: We started transitioning our models to use `keras.Embedding` layers, but also added code to the examples to only resize embeddings when necessary by checking `model.get_input_embeddings().weight.shape`. However, because of the transition, ... | {
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https://api.github.com/repos/huggingface/transformers/issues/21880 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21880/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21880/comments | https://api.github.com/repos/huggingface/transformers/issues/21880/events | https://github.com/huggingface/transformers/pull/21880 | 1,605,273,763 | PR_kwDOCUB6oc5LDD2l | 21,880 | [Refactor] Relative imports wherever we can | {
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Cleans up our code. Mostly use relative imports with submodules instead of global imports. | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,677 | 1,677 | 1,677 | CONTRIBUTOR | null | # What does this PR do?
Currently, pytorch_util's Conv1D always computes `normal_` to initialize weights regardless of `init_empty_weights`.
It makes model loading time of gpt2 longer.
This PR fixes this by reordering the initialization of Conv1D to apply `normal_` after assigning weight as `nn.Parameter` to avoid u... | {
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"Well if you are using `return_timestamps = True` you are asking for it 😅\r\nThis functionality was introduced after. Let's tell our users that they have to set it in the Generation config (when we pop). Otherwise the `generate` function should be able to set a default value if multilingual or not",
"Hey hey! - ... | 1,677 | 1,678 | 1,678 | MEMBER | null | ### System Info
- `transformers` version: 4.27.0.dev0
- Platform: Linux-5.10.147+-x86_64-with-glibc2.29
- Python version: 3.8.10
- Huggingface_hub version: 0.12.1
- PyTorch version (GPU?): 1.13.1+cu116 (False)
- Tensorflow version (GPU?): 2.11.0 (False)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Ja... | {
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"You need to use the `quantization_config` to set any argument relative to 8bit loading, cc @younesbelkada ",
"Thanks, I tried and get : dispatch_model() got an unexpected keyword argument 'offload_index'... I thought offloading to cpu is default false?\r\n\r\ni use\r\n`quantization_config = BitsAndBytesConfig(ll... | 1,677 | 1,686 | 1,677 | NONE | null | ### System Info
- `transformers` version: 4.27.0.dev0
- Platform: Linux-4.15.0-177-generic-x86_64-with-glibc2.29
- Python version: 3.8.10
- Huggingface_hub version: 0.12.1
- PyTorch version (GPU?): 1.12.1+cu116 (True)
- Tensorflow version (GPU?): 2.10.0 (True)
- Flax version (CPU?/GPU?/TPU?): not installed (NA... | {
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https://api.github.com/repos/huggingface/transformers/issues/21876 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21876/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21876/comments | https://api.github.com/repos/huggingface/transformers/issues/21876/events | https://github.com/huggingface/transformers/pull/21876 | 1,605,140,653 | PR_kwDOCUB6oc5LCnTJ | 21,876 | [WIP] Flax EfficientNet | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_21876). All of your documentation changes will be reflected on that endpoint.",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please... | 1,677 | 1,684 | 1,684 | CONTRIBUTOR | null | # What does this PR do?
Following the PR https://github.com/huggingface/transformers/pull/21563 by [alaradirik](https://github.com/alaradirik) to add the corresponding flax model.
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] D... | {
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"Thanks for your interest to our work! The checkpoint weights of 120M spike GPT has available [now](https://huggingface.co/ridger/SpikeGPT-BookCorpus/blob/main/BookCorpus-SpikeGPT.pth), but just for debug and playing with the model.",
"I've read the paper, this model looks really cool 👍 "
] | 1,677 | 1,678 | null | CONTRIBUTOR | null | ### Model description
**Abstract:**
>As the size of large language models continue to scale, so does the computational resources required to run it. Spiking neural networks (SNNs) have emerged as an energy-efficient approach to deep learning that leverage sparse and event-driven activations to reduce the computationa... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,677 | 1,677 | 1,677 | COLLABORATOR | null | # What does this PR do?
Uses the correct checkpoints for doctests | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Good spot, I've added your suggestions and I'll add the modeling file to the documentation check list!",
"The failing test is unrelated (OPT generation), merging!"
] | 1,677 | 1,677 | 1,677 | MEMBER | null | This PR uses the new weight crossloading functions to add the missing `TFVisionTextDualEncoder` class. | {
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] | 1,677 | 1,677 | 1,677 | CONTRIBUTOR | null | Now that BLIP has an AutoModel mapping, (see https://github.com/huggingface/transformers/pull/21817), this PR removes mention of BLIP's edge case from the troubleshooting guide. | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thanks @lorenzobalzani , I'll review it in the next few days"
] | 1,677 | 1,677 | 1,677 | CONTRIBUTOR | null | # What does this PR do?
Italian translation of community.mdx
See issue: https://github.com/huggingface/transformers/issues/17459
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"_The documentation is not available anymore as the PR was closed or merged._",
"cc @younesbelkada and @ArthurZucker ",
"Hi @ArthurZucker, thanks for the feedback.\r\nI've implemented the suggestions you mentioned, adding full text notation of expected tensor dimensions and separating tenosr operations in two m... | 1,677 | 1,677 | 1,677 | CONTRIBUTOR | null | # What does this PR do?
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Deprecating `position_ids` in GPTJ
Fixes #21114 | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,677 | 1,677 | 1,677 | CONTRIBUTOR | null | # What does this PR do?
This PR fixes the Blip doctest that was failing with the changes proposed in https://github.com/huggingface/transformers/pull/21811
Link to failing job: https://github.com/huggingface/transformers/actions/runs/4299412591/jobs/7494589393
## Why this fix is relevant?
In #21811 the lo... | {
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https://api.github.com/repos/huggingface/transformers/issues/21867 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21867/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21867/comments | https://api.github.com/repos/huggingface/transformers/issues/21867/events | https://github.com/huggingface/transformers/pull/21867 | 1,604,544,970 | PR_kwDOCUB6oc5LAlFF | 21,867 | Flax Regnet | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@sanchit-gandhi This is now ready for your review, thanks a lot for your time.",
"@sanchit-gandhi All the requested changes have been made and looks ready for next iteration of review, thanks a lot for your time."
] | 1,677 | 1,680 | 1,680 | CONTRIBUTOR | null | # What does this PR do?
Flax Implementation of [facebook/regnet-y-040](https://huggingface.co/facebook/regnet-y-040)
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](https://github.com/hug... | {
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https://api.github.com/repos/huggingface/transformers/issues/21866 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21866/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21866/comments | https://api.github.com/repos/huggingface/transformers/issues/21866/events | https://github.com/huggingface/transformers/pull/21866 | 1,604,475,531 | PR_kwDOCUB6oc5LAWT- | 21,866 | Fix gradient checkpointing bug Bart | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thanks a lot for your great work! \r\nCan you please run `make fix-copies` ? After that we should be good to merge"
] | 1,677 | 1,677 | 1,677 | CONTRIBUTOR | null | # What does this PR do?
This PR fixes a bug that a user can encounter while using generate and models that use gradient_checkpointing.
Fixes issue #21737 for Bart.
## 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 ... | {
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https://api.github.com/repos/huggingface/transformers/issues/21865 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21865/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21865/comments | https://api.github.com/repos/huggingface/transformers/issues/21865/events | https://github.com/huggingface/transformers/issues/21865 | 1,604,205,888 | I_kwDOCUB6oc5fnj1A | 21,865 | Running summarization with default model fails. 4.27.0.dev0 | {
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"cc @Rocketknight1 ",
"Hi @jojivk73, thanks for the bug report! We've reproduced the issue - the cause is that the `transformers` library is currently transitioning to using standardized native Keras layers for as many purposes as possible, and deprecating the previous setup where we often had ad-hoc model-specif... | 1,677 | 1,677 | 1,677 | NONE | null | ### System Info
When runining examples/tensorflow/summarization/run_summarization.py
as given in README,
python run_summarization.py \
--model_name_or_path facebook/bart-base \
--dataset_name cnn_dailymail \
--dataset_config "3.0.0" \
--output_dir /tmp/tst-summarization \
--per_device_train_batch_size 8 \
-... | {
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https://api.github.com/repos/huggingface/transformers/issues/21864 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21864/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21864/comments | https://api.github.com/repos/huggingface/transformers/issues/21864/events | https://github.com/huggingface/transformers/issues/21864 | 1,604,131,492 | I_kwDOCUB6oc5fnRqk | 21,864 | This line prevent us from using "std" scaling any more. | {
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"Hi,\r\n\r\nStd scaling wasn't supported until #21020 was merged (only mean scaling is currently supported on the latest PyPi install). So if you install Transformers from source, you can use std scaling.\r\n\r\nCc @kashif ",
"This issue has been automatically marked as stale because it has not had recent activit... | 1,677 | 1,683 | 1,683 | NONE | null | https://github.com/huggingface/transformers/blob/b29e2dcaff114762e65eaea739ba1076fc5d1c84/src/transformers/models/time_series_transformer/modeling_time_series_transformer.py#L1549 | {
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https://api.github.com/repos/huggingface/transformers/issues/21863 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21863/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21863/comments | https://api.github.com/repos/huggingface/transformers/issues/21863/events | https://github.com/huggingface/transformers/issues/21863 | 1,604,109,370 | I_kwDOCUB6oc5fnMQ6 | 21,863 | Initialization of pytorch_util's Conv1D takes long time regardless of init_empty_weights when loading pretrained gpt2 | {
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"It would be easier to move the initialization after initializing the parameter (so doing `self.weight = nn.Parameter(torch.empty(nx, nf))` and then apply the init normal. Would you like to make a PR with this change?\r\n\r\nEven better, the initialization should be completely left to the `_init_weights` method of ... | 1,677 | 1,677 | 1,677 | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.26.1
- `accelerate` version: 0.16.0
- Platform: macOS-13.1-arm64-arm-64bit
- Python version: 3.10.10
- Huggingface_hub version: 0.12.1
- PyTorch version (GPU?): 1.13.1 (False)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not install... | {
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https://api.github.com/repos/huggingface/transformers/issues/21862 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21862/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21862/comments | https://api.github.com/repos/huggingface/transformers/issues/21862/events | https://github.com/huggingface/transformers/issues/21862 | 1,604,108,093 | I_kwDOCUB6oc5fnL89 | 21,862 | Very slow process when `torch_dtype` is passed. | {
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"There is nothing we can do without a clear reproducer.",
"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://gith... | 1,677 | 1,680 | 1,680 | NONE | null |
When I use `from_pretrained`, the model loads up from my azure cache at almost 1gbps, but when I specify the `torch_dtype` the process is slowed to a crawling 1 tenth of original speed. When looking at resources it appears that its a single core type of process that is doing the disservice of being bottleneck.
Can... | {
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https://api.github.com/repos/huggingface/transformers/issues/21861 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21861/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21861/comments | https://api.github.com/repos/huggingface/transformers/issues/21861/events | https://github.com/huggingface/transformers/pull/21861 | 1,604,072,550 | PR_kwDOCUB6oc5K--wZ | 21,861 | Make ZeroShotImageClassificationPipeline faster | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Have you found `batch_size` argument which should take care of that ?\r\n\r\nIt's even better since with `batch_size` you can adjust the size of the batch independantly of the number of candidate labels, which makes it easier to adap... | 1,677 | 1,677 | 1,677 | CONTRIBUTOR | null | # What does this PR do?
The pipeline makes separate calls to model for each candidate label. This commit combines all labels into one call.
Original code takes more that 60 seconds to process one image and 1000 candidate labels. Updated code takes less than 2 seconds.
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https://api.github.com/repos/huggingface/transformers/issues/21860 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21860/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21860/comments | https://api.github.com/repos/huggingface/transformers/issues/21860/events | https://github.com/huggingface/transformers/pull/21860 | 1,603,994,673 | PR_kwDOCUB6oc5K-uWX | 21,860 | Change the way tensor is reshaped in BartAttention (from .view to .reshape) | {
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"@younesbelkada For some reason fix-copies is not fixing the prophetnet copy, Not sure how to fix this.",
"_The documentation is not available anymore as the PR was closed or merged._",
"Hi @raghavanone !\r\nHum very weird, can you try to merge this branch with the `main` branch of `transformers` and see if thi... | 1,677 | 1,677 | 1,677 | CONTRIBUTOR | null | # What does this PR do?
Fixes #21813 | {
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https://api.github.com/repos/huggingface/transformers/issues/21859 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21859/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21859/comments | https://api.github.com/repos/huggingface/transformers/issues/21859/events | https://github.com/huggingface/transformers/pull/21859 | 1,603,896,475 | PR_kwDOCUB6oc5K-ZL1 | 21,859 | [doc] deepspeed tests | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,677 | 1,677 | 1,677 | CONTRIBUTOR | null | added instructions on how to run deepspeed tests for deepspeed PR contributors. | {
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https://api.github.com/repos/huggingface/transformers/issues/21858 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21858/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21858/comments | https://api.github.com/repos/huggingface/transformers/issues/21858/events | https://github.com/huggingface/transformers/issues/21858 | 1,603,876,368 | I_kwDOCUB6oc5fmTYQ | 21,858 | cannot import name 'COMMON_SAFE_ASCII_CHARACTERS' | {
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"Please run `transformers-cli env` and paste the results here, as requested in the issue template. In particular, do you have the tokenizers module installed and which version?",
"### System Info\r\nmacbook air m2 with anaconda, python 3.9\r\n\r\nI got a similar bug :bug:\r\n`ImportError: cannot import name 'COMM... | 1,677 | 1,700 | 1,683 | NONE | null | ### System Info
macbook pro m2 with anaconda, python 3.9
I'm running transformers on an m1 mac and am getting the following error when I import
`from transformers import OwlViTProcessor, OwlViTForObjectDetection`
File ~/opt/anaconda3/envs/nd1/lib/python3.9/site-packages/transformers/__init__.py:26
23 fro... | {
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https://api.github.com/repos/huggingface/transformers/issues/21857 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21857/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21857/comments | https://api.github.com/repos/huggingface/transformers/issues/21857/events | https://github.com/huggingface/transformers/pull/21857 | 1,603,774,645 | PR_kwDOCUB6oc5K9-u7 | 21,857 | Flax beam search fix | {
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"cc @gante",
"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,677 | 1,677 | 1,677 | CONTRIBUTOR | null | # What does this PR do?
Makes it so you can pass `decoder_attention_mask` into `model.generate` for flax models when doing beam search. This is helpful for models like Whisper where there may be variable length decoder prefixes across a batch, so you'd have to define a `decoder_attention_mask`.
@sanchit-gandhi
@... | {
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https://api.github.com/repos/huggingface/transformers/issues/21856 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21856/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21856/comments | https://api.github.com/repos/huggingface/transformers/issues/21856/events | https://github.com/huggingface/transformers/pull/21856 | 1,603,699,962 | PR_kwDOCUB6oc5K9u0V | 21,856 | Add an utility file to get information from test files | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"> It's all looking great! Can you add a couple of unit tests in `tests/repo_utils` for this file? It may help you catch some bugs and make sure any future PRs don't break anything.\r\n\r\nHi! I added a test file under `tests/repo_uti... | 1,677 | 1,677 | 1,677 | COLLABORATOR | null | # What does this PR do?
**Add an utility file to get information from test files.**
There are more places where we need to access the information contained in test files:
- tiny model creation script: need model tester in order to create (tiny) configuration
- pipeline testing:
- need some information so w... | {
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https://api.github.com/repos/huggingface/transformers/issues/21855 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21855/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21855/comments | https://api.github.com/repos/huggingface/transformers/issues/21855/events | https://github.com/huggingface/transformers/pull/21855 | 1,603,639,071 | PR_kwDOCUB6oc5K9hoj | 21,855 | Move common properties to BackboneMixin | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,677 | 1,680 | 1,680 | COLLABORATOR | null | # What does this PR do?
First of a series of PRs to enable loading timm checkpoints using the `AutoBackbone` API. This PR moves common logic e.g. `channels` property to the `BackboneMixin` class. This is for two main reasons:
* Reduce duplicated code
* Enable using similar logic across the transformer and timm ba... | {
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https://api.github.com/repos/huggingface/transformers/issues/21854 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21854/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21854/comments | https://api.github.com/repos/huggingface/transformers/issues/21854/events | https://github.com/huggingface/transformers/issues/21854 | 1,603,596,695 | I_kwDOCUB6oc5flPGX | 21,854 | Running squad with GPT-J-6B fails due to issue in tokenizer. | {
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"This example does not support GPT-J out of the box since GPT-J has no CLS token (compared to BERT or XLNet). You will need to adapt the preprocessing as a result.",
"@sgugger Can you please elaborate.\r\nI tired using distillbert tokenizer and it is running. \r\nI am not sure if that is good.",
"This issue has... | 1,677 | 1,680 | 1,680 | NONE | null | ### System Info
Hi,
I am tryiing to use the run_qa.py script under examples/tensorflow/question-answering
Model EleutherAI/gpt-j-6B.
dataset squad.
it fails as below.
### Who can... | {
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https://api.github.com/repos/huggingface/transformers/issues/21853 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21853/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21853/comments | https://api.github.com/repos/huggingface/transformers/issues/21853/events | https://github.com/huggingface/transformers/pull/21853 | 1,603,502,761 | PR_kwDOCUB6oc5K9DZv | 21,853 | [GPT2] Propose fix for #21080 | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"I'd like to summon the generation expert @gante to ask what he thinks of the PR",
"The summon has been heard 📣 \r\n\r\n### TL;DR\r\n\r\nI approve the change 👍 But we need to have a second look at the position embeddings, I suspec... | 1,677 | 1,678 | 1,678 | COLLABORATOR | null | # What does this PR do?
Propose fix for #21080.
Modify the default generation of the positional ids for the `gpt-2` as well as the `decidion_transformer` model.
In the issue @LysandreJik proposed to update the doc, but when I checked it seemed like this would only affect 2 models, and is backward compatible:
- po... | {
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https://api.github.com/repos/huggingface/transformers/issues/21852 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21852/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21852/comments | https://api.github.com/repos/huggingface/transformers/issues/21852/events | https://github.com/huggingface/transformers/pull/21852 | 1,603,488,558 | PR_kwDOCUB6oc5K9ARg | 21,852 | TrOCR comment change | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Hi,\r\n\r\nThanks for your PR! We actually test that code snippet as TrOCR is [included in the doc tests](https://github.com/huggingface/transformers/blob/b29e2dcaff114762e65eaea739ba1076fc5d1c84/utils/documentation_tests.txt#L190). ... | 1,677 | 1,678 | 1,678 | NONE | null | Thanks for the TrOCR modules @NielsRogge !
I noticed something very small in one of the comments - if you copy pasted the lines from the comment block, they wouldn't work, because the default image size in `ViTConfig` is 224, while the `processor` is expecting the image to be resized to 384x384. | {
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https://api.github.com/repos/huggingface/transformers/issues/21851 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21851/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21851/comments | https://api.github.com/repos/huggingface/transformers/issues/21851/events | https://github.com/huggingface/transformers/pull/21851 | 1,603,474,348 | PR_kwDOCUB6oc5K89Pd | 21,851 | [WIP] Flax pipeline support :pickup_truck: | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_21851). All of your documentation changes will be reflected on that endpoint.",
"@Narsil , @sanchit-gandhi It looks good for an initial review. @sanchit-gandhi I am not also super confident if I have gotten the `jit` part r... | 1,677 | 1,680 | 1,680 | CONTRIBUTOR | null | # What does this PR do?
Adds flax support in pipelines + corresponding flax changes of https://github.com/huggingface/transformers/pull/21516 by [ydshieh](https://github.com/ydshieh)
> Right before I was preparing to open pull request, with pretty much everything ready for review (including tests, ~ all tasks wor... | {
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https://api.github.com/repos/huggingface/transformers/issues/21850 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21850/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21850/comments | https://api.github.com/repos/huggingface/transformers/issues/21850/events | https://github.com/huggingface/transformers/issues/21850 | 1,603,461,149 | I_kwDOCUB6oc5fkuAd | 21,850 | ValueError: Please make sure you have `sentencepiece` installed in order to use this tokenizer. | {
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"Following the steps you indicate to reproduce does not give me any error in Colab. Is it possible you installed sentencepiece after installing transformers and did not restart your environment?",
"You are right, thanks @sgugger \r\n(reloading google colab didn't fix my issue but creating a new colab did the tric... | 1,677 | 1,677 | 1,677 | NONE | null | ### System Info
- `transformers` version: 4.26.1
- Platform: Linux-5.10.147+-x86_64-with-glibc2.29
- Python version: 3.8.10
- Huggingface_hub version: 0.12.1
- PyTorch version (GPU?): 1.13.1+cu116 (True)
- Tensorflow version (GPU?): 2.11.0 (True)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version... | {
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https://api.github.com/repos/huggingface/transformers/issues/21849 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21849/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21849/comments | https://api.github.com/repos/huggingface/transformers/issues/21849/events | https://github.com/huggingface/transformers/pull/21849 | 1,603,394,908 | PR_kwDOCUB6oc5K8r_3 | 21,849 | [ConvBert] Fix #21523 | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,677 | 1,677 | 1,677 | COLLABORATOR | null | # What does this PR do?
Fixes #21523, the invalid reshaping of the context layer and adds a test to make sure we support different head ratios.
Made sur that the slow test all pass.
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https://api.github.com/repos/huggingface/transformers/issues/21848 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21848/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21848/comments | https://api.github.com/repos/huggingface/transformers/issues/21848/events | https://github.com/huggingface/transformers/issues/21848 | 1,603,087,839 | I_kwDOCUB6oc5fjS3f | 21,848 | Token classification for a non-textual data | {
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"You should probably ask this open question on the [forums](https://discuss.huggingface.co/).",
"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 ... | 1,677 | 1,680 | 1,680 | NONE | null | ### System Info
- `transformers` version: 4.24.0
- Platform: Linux-5.13.0-37-generic-x86_64-with-glibc2.29
- Python version: 3.8.10
- Huggingface_hub version: 0.10.1
- PyTorch version (GPU?): 1.10.2+cu113 (True)
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [ ] My own mod... | {
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https://api.github.com/repos/huggingface/transformers/issues/21847 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21847/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21847/comments | https://api.github.com/repos/huggingface/transformers/issues/21847/events | https://github.com/huggingface/transformers/pull/21847 | 1,602,956,188 | PR_kwDOCUB6oc5K7MVL | 21,847 | fsdp bf16 enable autocast | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Hello @sgugger, officially, there is not much info on `mixed_precision` support of FSDP. In the official docs here https://pytorch.org/docs/stable/fsdp.html, it doesn't mention anything regarding `bf16` and `fp16` nuances. \r\n\r\nIn... | 1,677 | 1,677 | 1,677 | CONTRIBUTOR | null | # What does this PR do?
1. Fixes #21560 wrt FSDP integration.
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,677 | 1,677 | 1,677 | CONTRIBUTOR | null | # What does this PR do?
This PR adds tests to make sure that the appropriate inputs are being created for the time series transformer for the training and generation use-cases.
cc @NielsRogge
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https://api.github.com/repos/huggingface/transformers/issues/21845 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21845/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21845/comments | https://api.github.com/repos/huggingface/transformers/issues/21845/events | https://github.com/huggingface/transformers/pull/21845 | 1,602,906,273 | PR_kwDOCUB6oc5K7A8w | 21,845 | Copy models back to CPU before merging them after evaluation. | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thanks for your PR. This is done by the function `nested_numpify` on the line just below.",
"I see... I still have a problem when evaluating my model (out-of-memory). I will open an issue about it.\r\n\r\nI'm closing this pull requ... | 1,677 | 1,677 | 1,677 | NONE | null | # What does this PR do?
During evaluation, move the predictions from the `eval_accumulation_steps` to CPU before merging them to avoid an out-of-memory error. | {
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https://api.github.com/repos/huggingface/transformers/issues/21844 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21844/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21844/comments | https://api.github.com/repos/huggingface/transformers/issues/21844/events | https://github.com/huggingface/transformers/pull/21844 | 1,602,848,627 | PR_kwDOCUB6oc5K60d4 | 21,844 | Fix gradient checkpointing bug BioGpt | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,677 | 1,677 | 1,677 | CONTRIBUTOR | null | # What does this PR do?
This PR fixes a bug that a user can encounter while using generate and models that use gradient_checkpointing.
Fixes issue #21737 for BioGpt.
cc @younesbelkada, @gante | {
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https://api.github.com/repos/huggingface/transformers/issues/21843 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21843/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21843/comments | https://api.github.com/repos/huggingface/transformers/issues/21843/events | https://github.com/huggingface/transformers/pull/21843 | 1,602,681,618 | PR_kwDOCUB6oc5K6QBK | 21,843 | [`T5`] Fix torchquant issue | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Can confirm t5 & int8 slow tests are passing, merging!"
] | 1,677 | 1,677 | 1,677 | CONTRIBUTOR | null | # What does this PR do?
Fixes #21839
This PR fixes a bug that was introduced with https://github.com/huggingface/transformers/pull/21281 - before this PR, the snippet below was working:
```python
import torch
from transformers import T5ForConditionalGeneration, T5Tokenizer
model_name = "google/flan-t5-small"... | {
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https://api.github.com/repos/huggingface/transformers/issues/21842 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21842/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21842/comments | https://api.github.com/repos/huggingface/transformers/issues/21842/events | https://github.com/huggingface/transformers/pull/21842 | 1,602,664,365 | PR_kwDOCUB6oc5K6MVQ | 21,842 | Fix gradient checkpointing bug marian | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,677 | 1,677 | 1,677 | CONTRIBUTOR | null | This PR fixes a bug that a user can encounter while using generate and models that use gradient_checkpointing.
Fixes Issue https://github.com/huggingface/transformers/issues/21737
cc @younesbelkada or @gante | {
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https://api.github.com/repos/huggingface/transformers/issues/21841 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21841/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21841/comments | https://api.github.com/repos/huggingface/transformers/issues/21841/events | https://github.com/huggingface/transformers/pull/21841 | 1,602,660,765 | PR_kwDOCUB6oc5K6Lj_ | 21,841 | Fix gradient checkpointing bug M2M 100 | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,677 | 1,677 | 1,677 | CONTRIBUTOR | null | This PR fixes a bug that a user can encounter while using generate and models that use gradient_checkpointing.
Fixes Issue https://github.com/huggingface/transformers/issues/21737
cc @younesbelkada or @gante | {
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https://api.github.com/repos/huggingface/transformers/issues/21840 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21840/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21840/comments | https://api.github.com/repos/huggingface/transformers/issues/21840/events | https://github.com/huggingface/transformers/pull/21840 | 1,602,655,258 | PR_kwDOCUB6oc5K6KX8 | 21,840 | Fix gradient checkpointing bug LED | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,677 | 1,677 | 1,677 | CONTRIBUTOR | null | This PR fixes a bug that a user can encounter while using generate and models that use gradient_checkpointing.
Fixes Issue https://github.com/huggingface/transformers/issues/21737
cc @younesbelkada or @gante | {
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https://api.github.com/repos/huggingface/transformers/issues/21839 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21839/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21839/comments | https://api.github.com/repos/huggingface/transformers/issues/21839/events | https://github.com/huggingface/transformers/issues/21839 | 1,602,652,897 | I_kwDOCUB6oc5fhorh | 21,839 | quantize_dynamic on T5 model results in `AttributeError: 'function' object has no attribute 'dtype'` | {
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"Hello @gerhean \r\nThanks for the issue! \r\nhttps://github.com/huggingface/transformers/pull/21843 should fix your problem, you can already use the fix by checking out on the branch",
"Hi @gerhean \r\nNow it's on the `main` branch, if you should be able to use it without any issue!"
] | 1,677 | 1,677 | 1,677 | NONE | null | ### System Info
- `transformers` version: 4.26.1
- Platform: Linux-5.10.147+-x86_64-with-glibc2.29
- Python version: 3.8.10
- Huggingface_hub version: 0.12.1
- PyTorch version (GPU?): 1.13.1+cu116 (False)
- Tensorflow version (GPU?): 2.11.0 (False)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax versi... | {
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https://api.github.com/repos/huggingface/transformers/issues/21838 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21838/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21838/comments | https://api.github.com/repos/huggingface/transformers/issues/21838/events | https://github.com/huggingface/transformers/issues/21838 | 1,602,459,016 | I_kwDOCUB6oc5fg5WI | 21,838 | Unable to convert BioGpt slow tokenizer to fast: token out of vocabulary | {
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"Hey! It would be a bit difficult to say that this is a bug as we do not have an implementation of the `BioGPTConverter` which would be cool btw. In order to properly create a fast tokenizer you need to have the `pre_normalizer` the `decoder` etc. Take a look at `convert_slow_tokenizers` for more details! Feel free... | 1,677 | 1,683 | 1,683 | NONE | null | ### System Info
I was trying to use BioGpt model in my QA task for fine-tuning. I would like to construct a fast tokenizer class based on the BioGptTokenizer, so that I could use the offsets_mapping to know from which words the tokens do origin. But unfortunately, when creating a BiogptTokenizerFast from the PreTraine... | {
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https://api.github.com/repos/huggingface/transformers/issues/21837 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21837/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21837/comments | https://api.github.com/repos/huggingface/transformers/issues/21837/events | https://github.com/huggingface/transformers/issues/21837 | 1,602,406,039 | I_kwDOCUB6oc5fgsaX | 21,837 | transformers == 4.26.0 has a bug | {
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"If you want to use this model, you should build from source. It was merged to main on the 25th of January, the release does not include it. Next release will make it available. \r\nClosing as I can import on main. "
] | 1,677 | 1,677 | 1,677 | NONE | null | ### System Info
Traceback (most recent call last):
from transformers import BridgeTowerProcessor, BridgeTowerForImageAndTextRetrieval
ImportError: cannot import name 'BridgeTowerProcessor' from 'transformers' (lib/python3.7/site-(packages/transformers/__init__.py),could you fix this bug。i use transformers == 4.... | {
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https://api.github.com/repos/huggingface/transformers/issues/21836 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21836/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21836/comments | https://api.github.com/repos/huggingface/transformers/issues/21836/events | https://github.com/huggingface/transformers/issues/21836 | 1,602,296,207 | I_kwDOCUB6oc5fgRmP | 21,836 | HF's Flan-T5 implementation doesn't support Chinese or code despite being trained on it | {
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"Hey! Thanks for posting. The original tokenizer does not support chinese (it only supports 4 language I think) either. \r\nHere is a minimal reproducing script using the vocabulary path provided in the `t5_1_1_base.gin` that is used for all of the Flan T5 (according to github). \r\n```python \r\n>>> import seqio\r... | 1,677 | 1,679 | 1,677 | NONE | null | ### System Info
transformers == 4.26.1
pytorch == 1.13.1
### Who can help?
@ArthurZucker @younesbelkada
### Information
- [x] The official example scripts
- [ ] My own modified scripts
### Tasks
- [x] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My o... | {
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https://api.github.com/repos/huggingface/transformers/issues/21835 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21835/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21835/comments | https://api.github.com/repos/huggingface/transformers/issues/21835/events | https://github.com/huggingface/transformers/issues/21835 | 1,602,240,060 | I_kwDOCUB6oc5fgD48 | 21,835 | Troubleshooting AttributeError: 'Seq2SeqTimeSeriesPredictionOutput' object has no attribute 'sequences' | {
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"Hey. I don't think you are using the correct version of transformers. I can't reproduce this and our documentation tests ensure that this works. Also see here for the `sequence` [output](https://github.com/ArthurZucker/transformers/blob/main/src/transformers/models/time_series_transformer/modeling_time_series_tran... | 1,677 | 1,677 | 1,677 | NONE | null | Hi, I am reporting this issue as recommended
Context: I am trying to setup/test transformers library, I managed to get the installation and followed the steps in this specific time series transformer tutorial: https://huggingface.co/docs/transformers/model_doc/time_series_transformer
I received an error when I tr... | {
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https://api.github.com/repos/huggingface/transformers/issues/21834 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21834/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21834/comments | https://api.github.com/repos/huggingface/transformers/issues/21834/events | https://github.com/huggingface/transformers/pull/21834 | 1,602,219,627 | PR_kwDOCUB6oc5K4t_p | 21,834 | Fix tf random token masking probability in data collator | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@ArthurZucker Do I need to merge it now?"
] | 1,677 | 1,677 | 1,677 | CONTRIBUTOR | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/21833 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21833/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21833/comments | https://api.github.com/repos/huggingface/transformers/issues/21833/events | https://github.com/huggingface/transformers/pull/21833 | 1,602,086,684 | PR_kwDOCUB6oc5K4R8p | 21,833 | Fixed gradient_checkpointing/use_cache bug in blenderbot | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@younesbelkada Thanks for your help! It should be all good"
] | 1,677 | 1,677 | 1,677 | CONTRIBUTOR | null | # What does this PR do?
Fixes #21737 for blenderbot
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md#start-contributing-... | {
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https://api.github.com/repos/huggingface/transformers/issues/21832 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21832/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21832/comments | https://api.github.com/repos/huggingface/transformers/issues/21832/events | https://github.com/huggingface/transformers/issues/21832 | 1,602,053,267 | I_kwDOCUB6oc5ffWST | 21,832 | Illegal memory access when using Trainer API on GPU with PyTorch 2.0's Inductor backend | {
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"Pretty much the same as #21826 , inductor backend is not yet supported.",
"@ArthurZucker Can you elaborate on this ?\r\n\r\nDo you mean the Trainer class is using a piece of code that is unsupported by inductor backend ?\r\nIs this something that you will wait on PyTorch to fix or are you amenable to workaround... | 1,677 | 1,680 | 1,680 | NONE | null | ### System Info
### System Information
- `transformers` version: 4.26.1
- Platform: Linux-5.15.0-1028-aws-x86_64-with-glibc2.10
- Python version: 3.8.16
- Huggingface_hub version: 0.12.1
- PyTorch version (GPU?): 2.0.0a0+git8693604 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GP... | {
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https://api.github.com/repos/huggingface/transformers/issues/21831 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21831/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21831/comments | https://api.github.com/repos/huggingface/transformers/issues/21831/events | https://github.com/huggingface/transformers/issues/21831 | 1,602,013,225 | I_kwDOCUB6oc5ffMgp | 21,831 | HF pipeline throws error | {
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"Hey! Would you mind providing a minimal reproducing script? ",
"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:... | 1,677 | 1,680 | 1,680 | NONE | null | ### System Info
HF Pipeline actually trying to generate the outputs on CPU despite including the device_map=auto as configuration for GPT_NeoX 20B model.
Workaround is to use model.generate method by manually converting the input_ids to GPU.
```
[INFO ] PyProcess - prediction = self.hf_pipeline(data, **para... | {
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https://api.github.com/repos/huggingface/transformers/issues/21830 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21830/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21830/comments | https://api.github.com/repos/huggingface/transformers/issues/21830/events | https://github.com/huggingface/transformers/pull/21830 | 1,601,897,685 | PR_kwDOCUB6oc5K3pPF | 21,830 | Temporarily fix ONNX model exporting error | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"cc @amyeroberts ",
"Thanks for opening this PR @SatyaJandhyalaAtMS ! \r\n\r\nCould you share a link to the issue this resolves? I'm getting a 404 error for the link in the commit / PR title: https://github.com/microsoft/onnx-conver... | 1,677 | 1,678 | 1,678 | CONTRIBUTOR | null | …issues/143
# What does this PR do?
Fix the following error while trying to export ONNX model
**TypeError: '<=' not supported between instances of 'tuple' and 'Tensor'**
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https://api.github.com/repos/huggingface/transformers/issues/21829 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21829/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21829/comments | https://api.github.com/repos/huggingface/transformers/issues/21829/events | https://github.com/huggingface/transformers/pull/21829 | 1,601,823,526 | PR_kwDOCUB6oc5K3Zbh | 21,829 | Add: task guide for zero shot object detection | {
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"Images are in this PR https://huggingface.co/datasets/huggingface/documentation-images/discussions/49",
"_The documentation is not available anymore as the PR was closed or merged._",
"> Nice work, thanks for adding this! I especially like the brief intro to the OWL-ViT model. Maybe we can embed one of the OWL... | 1,677 | 1,677 | 1,677 | CONTRIBUTOR | null | This PR adds a task guide for zero-shot object detection. Unlike other task guides, there is no fine-tuning and complex preprocessing of custom data. However, the task illustrates different ways of inferencing with OWL-ViT, such as using the pipeline, manual inference with text queries, manual inference for a batch of ... | {
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https://api.github.com/repos/huggingface/transformers/issues/21828 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21828/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21828/comments | https://api.github.com/repos/huggingface/transformers/issues/21828/events | https://github.com/huggingface/transformers/pull/21828 | 1,601,736,525 | PR_kwDOCUB6oc5K3HXF | 21,828 | Fix quality with `ruff==0.0.253` | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_21828). All of your documentation changes will be reflected on that endpoint."
] | 1,677 | 1,677 | 1,677 | COLLABORATOR | null | # What does this PR do?
Fix quality with `ruff==0.0.253`.
Merged to avoid CI failing due to the new version of `ruff==0.0.253`.
- The change with this new version is valid so I decide to go with it instead of pining older version.
- The change also works with previous `ruff` versions (`0.0.252` and `0.0.24... | {
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https://api.github.com/repos/huggingface/transformers/issues/21827 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21827/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21827/comments | https://api.github.com/repos/huggingface/transformers/issues/21827/events | https://github.com/huggingface/transformers/pull/21827 | 1,601,736,420 | PR_kwDOCUB6oc5K3HVr | 21,827 | Add: task guide for zero shot object detection | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,677 | 1,677 | 1,677 | CONTRIBUTOR | null | This PR adds a task guide for zero-shot object detection. Unlike other task guides, there is no fine-tuning and complex preprocessing of custom data. However, the task illustrates different ways of inferencing with OWL-ViT, such as using the pipeline, manual inference with text queries, manual inference for a batch of ... | {
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https://api.github.com/repos/huggingface/transformers/issues/21826 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21826/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21826/comments | https://api.github.com/repos/huggingface/transformers/issues/21826/events | https://github.com/huggingface/transformers/issues/21826 | 1,601,725,305 | I_kwDOCUB6oc5feGN5 | 21,826 | Faketensor issue when using torch inductor as backend with Trainer API | {
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"Diving into this issue, the forward pass of a ViT model (or also ResNet) segfaults on my side (I don't have your error message, but you are using multiple GPUs with DataParallel if I read the traceback correctly, which is probably not supported). I'll reach out to the PyTorch team.",
"Ok, the segmentation fault ... | 1,677 | 1,681 | 1,681 | NONE | null | ### System Info
- `transformers` version: 4.27.0.dev0
- Platform: Linux-5.15.0-1030-aws-x86_64-with-glibc2.10
- Python version: 3.8.0
- Huggingface_hub version: 0.12.1
- PyTorch version (GPU?): 2.0.0a0+git45d775c (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installe... | {
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https://api.github.com/repos/huggingface/transformers/issues/21825 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21825/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21825/comments | https://api.github.com/repos/huggingface/transformers/issues/21825/events | https://github.com/huggingface/transformers/pull/21825 | 1,601,659,931 | PR_kwDOCUB6oc5K22jY | 21,825 | Rename `MobileViTModelTest` to `TFMobileViTModelTest` | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"No worry :-) "
] | 1,677 | 1,677 | 1,677 | COLLABORATOR | null | # What does this PR do?
@sayakpaul Let's give TF a bit more love ❤️ 🙏.
(joking aside, having consistent and proper prefixes makes things easier) | {
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https://api.github.com/repos/huggingface/transformers/issues/21824 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21824/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21824/comments | https://api.github.com/repos/huggingface/transformers/issues/21824/events | https://github.com/huggingface/transformers/pull/21824 | 1,601,478,857 | PR_kwDOCUB6oc5K2PjC | 21,824 | TTS fine-tuning for SpeechT5 | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Requesting review from @ArthurZucker for the custom STFT / log-Mel feature extraction components (`feature_extraction_speecht5.py` is the file of interest)",
"Gently pinging @ArthurZucker :)",
"Will review in 1h! Sorry for the de... | 1,677 | 1,681 | 1,681 | CONTRIBUTOR | null | # What does this PR do?
Adds fine-tuning support for SpeechT5, in particular the TTS model.
The loss function is a combination of L1 loss for the mel-spectrograms, BCE for the stop token prediction, and (optionally) guided attention loss to persuade the cross-attentions to be diagonal.
The STFT feature extract... | {
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https://api.github.com/repos/huggingface/transformers/issues/21823 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21823/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21823/comments | https://api.github.com/repos/huggingface/transformers/issues/21823/events | https://github.com/huggingface/transformers/pull/21823 | 1,601,461,206 | PR_kwDOCUB6oc5K2LsF | 21,823 | Make Slack CI reporting stronger | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,677 | 1,677 | 1,677 | COLLABORATOR | null | # What does this PR do?
Make Slack CI reporting stronger.
The most important change in this PR is to **use a token when we need to grab some GitHub workflow/jobs information** using api call, like
```python
https://api.github.com/repos/huggingface/transformers/actions/runs
```
to get all job links.
**This ... | {
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https://api.github.com/repos/huggingface/transformers/issues/21822 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21822/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21822/comments | https://api.github.com/repos/huggingface/transformers/issues/21822/events | https://github.com/huggingface/transformers/issues/21822 | 1,601,307,323 | I_kwDOCUB6oc5fcgK7 | 21,822 | Extend Callback API for remote execution of ClearML Experiments | {
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"Hi there. The `Trainer` is not allowed to modify its own `TrainingArguments`, a design choice we made so that reproducibility and resuming from a checkpoint work properly. This is why the callbacks are also not allowed to change the training arguments. It's probably best for this use case if you simply subclass th... | 1,677 | 1,680 | 1,680 | CONTRIBUTOR | null | ### Feature request
Hi!
Not that long ago, we added support for the ClearML experiment manager as a training callback, and the general feedback has been good so far! However, ClearML is more than an experiment manager alone.
In order to allow users to quickly experiment, ClearML can clone an existing experiment ... | {
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https://api.github.com/repos/huggingface/transformers/issues/21821 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21821/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21821/comments | https://api.github.com/repos/huggingface/transformers/issues/21821/events | https://github.com/huggingface/transformers/issues/21821 | 1,600,982,282 | I_kwDOCUB6oc5fbQ0K | 21,821 | Two tfevent files are being generated for each run of trainer | {
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"I have no idea. Let us know if you find the reason/how to fix it!",
"also face this issue by adding the tensorboard callback in the examples/language_modeling/run_mlm.py",
"Face the same issue:\r\n- transformers: 4.26.1\r\n- tensorboard: 2.12.0",
"Also faces this issue\r\nAs a workaround, I use this command ... | 1,677 | 1,681 | 1,681 | NONE | null | ### System Info
Each run of the trainer two tfevent files are being generated, it looks like this:
/runs
--Feb27_09-46-42_...
----events.out.tfevents....0
----/1677491207.0429652
------events.out.tfevents....1
When reading these files with TensorBoard I don't get any output from the .1 file, how can I get ri... | {
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https://api.github.com/repos/huggingface/transformers/issues/21820 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21820/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21820/comments | https://api.github.com/repos/huggingface/transformers/issues/21820/events | https://github.com/huggingface/transformers/issues/21820 | 1,600,974,936 | I_kwDOCUB6oc5fbPBY | 21,820 | rag-end2end-retriever Training Time 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/main/CONTRIBUTING.md) a... | 1,677 | 1,680 | 1,680 | NONE | null | ### Feature request
Hi,
I would suggest including the training runtime for the new version of [RAG](https://github.com/huggingface/transformers/tree/main/examples/research_projects/rag-end2end-retriever) that is end-to-end. The hyperparameters for the results at the end of the README.md (under the "Comparison of e... | {
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https://api.github.com/repos/huggingface/transformers/issues/21819 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21819/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21819/comments | https://api.github.com/repos/huggingface/transformers/issues/21819/events | https://github.com/huggingface/transformers/pull/21819 | 1,600,951,577 | PR_kwDOCUB6oc5K0dpZ | 21,819 | Add Seaformer model | {
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"Hi @inderpreetsingh01, thank you! You can ping me once the PR is ready is to be reviewed. \r\n\r\nYou can follow the [official guidelines](https://huggingface.co/docs/transformers/add_new_model) to learn how to prepare the configuration, image processor and modeling files to replicate the original work such that f... | 1,677 | 1,684 | 1,684 | NONE | null | # What does this PR do?
<!--
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Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
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https://api.github.com/repos/huggingface/transformers/issues/21818 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21818/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21818/comments | https://api.github.com/repos/huggingface/transformers/issues/21818/events | https://github.com/huggingface/transformers/pull/21818 | 1,600,936,658 | PR_kwDOCUB6oc5K0aYe | 21,818 | Fix gradient checkpointing bug in git | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,677 | 1,677 | 1,677 | CONTRIBUTOR | null | This PR fixes a bug that a user can encounter while using generate and models that use gradient_checkpointing.
Fixes Issue https://github.com/huggingface/transformers/issues/21737
cc @younesbelkada or @gante | {
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https://api.github.com/repos/huggingface/transformers/issues/21817 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21817/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21817/comments | https://api.github.com/repos/huggingface/transformers/issues/21817/events | https://github.com/huggingface/transformers/pull/21817 | 1,600,917,823 | PR_kwDOCUB6oc5K0WZn | 21,817 | [`Blip2`] Add `Blip2Model` | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thanks! Once it's merged, I'll create a small PR to update the troubleshooting section. "
] | 1,677 | 1,677 | 1,677 | CONTRIBUTOR | null | # What does this PR do?
This PR adds a new class `Blip2Model`, so that the model can be mapped in `AutoModel` mapping and also used by users that wants to conveniently extract text, image, & the so-called q-former features from the model.
This PR also addresses this comment: https://github.com/huggingface/transf... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,677 | 1,677 | 1,677 | CONTRIBUTOR | null | This PR fixes a bug that a user can encounter while using generate and models that use gradient_checkpointing.
Fixes Issue https://github.com/huggingface/transformers/issues/21737
cc @younesbelkada or @gante | {
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https://api.github.com/repos/huggingface/transformers/issues/21815 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21815/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21815/comments | https://api.github.com/repos/huggingface/transformers/issues/21815/events | https://github.com/huggingface/transformers/pull/21815 | 1,600,815,097 | PR_kwDOCUB6oc5K0AM1 | 21,815 | Fix gradient checkpointing bug in gptneox | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Apologies, hand't pushed the latest commit. All done now!",
"Awesome, thank you for the contribution <3 "
] | 1,677 | 1,677 | 1,677 | CONTRIBUTOR | null | # What does this PR do?
This PR fixes a bug that a user can encounter while using generate and models that use gradient_checkpointing.
Fixes Issue https://github.com/huggingface/transformers/issues/21737
cc @younesbelkada or @gante | {
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https://api.github.com/repos/huggingface/transformers/issues/21814 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21814/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21814/comments | https://api.github.com/repos/huggingface/transformers/issues/21814/events | https://github.com/huggingface/transformers/pull/21814 | 1,600,814,454 | PR_kwDOCUB6oc5K0AD6 | 21,814 | [DETR and friends] Remove is_timm_available | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"There is a pretty big conflict in the test modeling DETR file, can you fix it Niels?"
] | 1,677 | 1,678 | 1,678 | CONTRIBUTOR | null | # What does this PR do?
This PR:
- removes the `is_timm_available` dependency check for DETR and friends, uses `is_torch_available` instead and uses `requires_backends["timm"]` in case `config.use_timm_backbone=True`.
- adapts DETR's conversion script to make DETR work with our `AutoBackbone` class, rather than th... | {
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https://api.github.com/repos/huggingface/transformers/issues/21813 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21813/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21813/comments | https://api.github.com/repos/huggingface/transformers/issues/21813/events | https://github.com/huggingface/transformers/issues/21813 | 1,600,784,247 | I_kwDOCUB6oc5fagd3 | 21,813 | Error when using BART for Prefix Tuning. Replace `view` with `reshape` in `BartAttention`? | {
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"Hello! Thanks a lot for reporting. Will open a PR to fix this 😉 \r\n",
"@ArthurZucker It seems in GPTJ there also have the same problem when using prefix-tuning trained model to generate text\r\n```\r\n File \"/root/miniconda3/envs/gpt_fine_tune/lib/python3.9/site-packages/transformers/generation/utils.py\", l... | 1,677 | 1,678 | 1,677 | NONE | null | ### System Info
- `transformers` version: 4.26.1
- Platform: Linux-5.10.147+-x86_64-with-glibc2.29
- Python version: 3.8.10
- Huggingface_hub version: 0.12.1
- PyTorch version (GPU?): 1.13.1+cu116 (False)
- Tensorflow version (GPU?): 2.11.0 (False)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax versi... | {
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https://api.github.com/repos/huggingface/transformers/issues/21812 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21812/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21812/comments | https://api.github.com/repos/huggingface/transformers/issues/21812/events | https://github.com/huggingface/transformers/pull/21812 | 1,600,581,636 | PR_kwDOCUB6oc5KzNpV | 21,812 | update FSDP and add XLA-FSDP documentation | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thanks @pacman100 and @sgugger ! This is exciting!"
] | 1,677 | 1,677 | 1,677 | CONTRIBUTOR | null | # What does this PR do?
1. update FSDP and add XLA-FSDP documentation | {
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https://api.github.com/repos/huggingface/transformers/issues/21811 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21811/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21811/comments | https://api.github.com/repos/huggingface/transformers/issues/21811/events | https://github.com/huggingface/transformers/pull/21811 | 1,600,520,603 | PR_kwDOCUB6oc5KzAXd | 21,811 | Fix the issue of blip model returning loss even when the label is not provided. | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"cc @younesbelkada and @amyeroberts ",
"> \r\n\r\n@younesbelkada \r\nOne of the test (test_inference_image_captioning_fp16) is failing, not sure if it is related to my changes . \r\n",
"Hi @raghavanone \r\nHum I just went through ... | 1,677 | 1,677 | 1,677 | CONTRIBUTOR | null | # What does this PR do?
Fixes #21510
@NielsRogge | {
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https://api.github.com/repos/huggingface/transformers/issues/21810 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21810/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21810/comments | https://api.github.com/repos/huggingface/transformers/issues/21810/events | https://github.com/huggingface/transformers/issues/21810 | 1,600,409,760 | I_kwDOCUB6oc5fZFCg | 21,810 | fsmt Tokenizer.save_vocabulary Bug | {
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"Hey, apparently, it is a known issue that the vocabulary has some holes. The problem with your training is probably not related as you mention that it `suddendly` drops and corrupts. Meaning up until some point everything works well no? 😉 ",
"This issue has been automatically marked as stale because it has not ... | 1,677 | 1,683 | 1,683 | NONE | null | ### System Info
- `transformers` version: 4.26.1
- Platform: Linux-4.18.0-348.23.1.el8_5.x86_64-x86_64-with-glibc2.17
- Python version: 3.8.16
- Huggingface_hub version: 0.12.1
- PyTorch version (GPU?): 1.12.1+cu116 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not ins... | {
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https://api.github.com/repos/huggingface/transformers/issues/21809 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21809/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21809/comments | https://api.github.com/repos/huggingface/transformers/issues/21809/events | https://github.com/huggingface/transformers/issues/21809 | 1,600,138,435 | I_kwDOCUB6oc5fYCzD | 21,809 | How to set language in Whisper pipeline for audio transcription? | {
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"@ArthurZucker ",
"You can add `generate_kwargs = {\"language\":\"<|tr|>\",\"task\": \"transcribe\"},` to your pipeline initialization and it should work. ",
"Updated the notebook with the following new line : \r\n> `pipe(speech_file, generate_kwargs = {\"task\":\"transcribe\", \"language\":\"<|fr|>\"} )`",
"... | 1,677 | 1,701 | 1,677 | NONE | null | ### Problem
Hello,
I followed this notebook for Whisper pipelines. https://colab.research.google.com/drive/1rS1L4YSJqKUH_3YxIQHBI982zso23wor?usp=sharing#scrollTo=Ca4YYdtATxzo
Here, I want to use speech transcription with openai/whisper-large-v2 model using the pipeline. By using WhisperProcessor, we can set t... | {
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https://api.github.com/repos/huggingface/transformers/issues/21808 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21808/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21808/comments | https://api.github.com/repos/huggingface/transformers/issues/21808/events | https://github.com/huggingface/transformers/issues/21808 | 1,600,116,600 | I_kwDOCUB6oc5fX9d4 | 21,808 | Using Bloom with int8 generate unreadable outputs | {
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"cc @younesbelkada ",
"the V100 series were not supported by `bitsandbytes` but now they should be compatible since the `0.37.0` relase. What is your `bitsandbytes` version? Can you try to update `bitsandbytes` ? `pip install --upgrade bitsandbytes`",
"> the V100 series were not supported by `bitsandbytes` but ... | 1,677 | 1,683 | 1,683 | NONE | null | ### System Info
- `transformers` version: 4.26.1
- Platform: Linux-4.19.91-009.ali4000.alios7.x86_64-x86_64-with-glibc2.27
- Python version: 3.9.16
- Huggingface_hub version: 0.12.1
- PyTorch version (GPU?): 1.12.0+cu113 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): no... | {
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https://api.github.com/repos/huggingface/transformers/issues/21807 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21807/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21807/comments | https://api.github.com/repos/huggingface/transformers/issues/21807/events | https://github.com/huggingface/transformers/issues/21807 | 1,600,061,281 | I_kwDOCUB6oc5fXv9h | 21,807 | Conversion of OWL-ViT model fails | {
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"P.S. if that could help, when I'm changing ['optimizer']['target'] to ['params'], the script is failing with:\r\n```\r\nTraceback (most recent call last):\r\n File \"~/transformers/src/transformers/models/owlvit/convert_owlvit_original_flax_to_hf.py\", line 411, in <module>\r\n pt_backbone_params, clip_pt, att... | 1,677 | 1,694 | 1,677 | NONE | null | ### System Info
I've trained OWL-ViT model on my data using [training code from original repo](https://github.com/google-research/scenic/tree/main/scenic/projects/owl_vit#fine-tuning) and trying to use it in HuggingFace pytorch OWL-ViT implementation.
As far as I understand, I need to convert it using [convert_owlv... | {
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https://api.github.com/repos/huggingface/transformers/issues/21806 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21806/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21806/comments | https://api.github.com/repos/huggingface/transformers/issues/21806/events | https://github.com/huggingface/transformers/issues/21806 | 1,599,937,440 | I_kwDOCUB6oc5fXRug | 21,806 | Tokenizer call function gives an error when using the "target_text "argument without using "text" argument. | {
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"You version of Transformers is too low, you need to upgrade it as `target_text` is a somewhat recent feature.",
"Should I install tranformers from source ? Because I also tried PIP and\ndidn’t work.\n\nOn Mon, 27 Feb 2023 at 9:02 PM, Sylvain Gugger ***@***.***>\nwrote:\n\n> You version of Transformers is too low... | 1,677 | 1,677 | 1,677 | CONTRIBUTOR | null | ### System Info
Name: transformers
Version: 4.21.2
Summary: State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow
Home-page: https://github.com/huggingface/transformers
Author: The Hugging Face team (past and future) with the help of all our contributors (https://github.com/huggingface/transformers/gra... | {
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https://api.github.com/repos/huggingface/transformers/issues/21805 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21805/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21805/comments | https://api.github.com/repos/huggingface/transformers/issues/21805/events | https://github.com/huggingface/transformers/issues/21805 | 1,599,914,964 | I_kwDOCUB6oc5fXMPU | 21,805 | libssl.so.10: cannot open shared object file: No such file or directory | {
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"This is not a library used by Transformers per se but Python. There is something wrong with your Python install via Conda, Python installed like this does not find the libssl.so.10 library.",
"I meet the exact same issue here while `pip` install cannot solve the problem.",
"tl;dr; `conda update tokenizers` sol... | 1,677 | 1,689 | 1,689 | NONE | null | ### System Info
I am setting up a brand new machine with Ubuntu 22.04, pytorch 1.13.1/pytorch-cuda 11.7 and transformers 4.24.0
### Who can help?
_No response_
### Information
- [X] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folde... | {
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https://api.github.com/repos/huggingface/transformers/issues/21804 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21804/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21804/comments | https://api.github.com/repos/huggingface/transformers/issues/21804/events | https://github.com/huggingface/transformers/pull/21804 | 1,599,869,533 | PR_kwDOCUB6oc5Kw7bE | 21,804 | introduce `logger.warning_once` and use it for grad checkpointing code | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,677 | 1,677 | 1,677 | CONTRIBUTOR | null | This PR:
1. introduces a new `warning_once` logger method - to prevent repeating the same warning more than once
2. use it for gradient_checkpointing functionality - where one would get thousands of these warnings at the moment should they have `use_cache==True` - the other solution is to assert
(I did this for ... | {
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https://api.github.com/repos/huggingface/transformers/issues/21803 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21803/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21803/comments | https://api.github.com/repos/huggingface/transformers/issues/21803/events | https://github.com/huggingface/transformers/issues/21803 | 1,599,813,196 | I_kwDOCUB6oc5fWzZM | 21,803 | Masking ratio incorrect for DataCollatorForLanguageModeling | {
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"Note that the Transformers library is primarily a library of models, not data collators. This particular data collator should never have been added to the library proper but only in the example that uses it (it's also quite buggy and only works for BERT models). We welcome a PR with bug fixes (for the TF one appar... | 1,677 | 1,677 | 1,677 | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.26.0
- Platform: Linux-4.19.0-23-cloud-amd64-x86_64-with-debian-10.13
- Python version: 3.7.12
- Huggingface_hub version: 0.12.0
- PyTorch version (GPU?): 1.13.1+cu116 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not install... | {
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https://api.github.com/repos/huggingface/transformers/issues/21802 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21802/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21802/comments | https://api.github.com/repos/huggingface/transformers/issues/21802/events | https://github.com/huggingface/transformers/pull/21802 | 1,599,784,183 | PR_kwDOCUB6oc5KwqhR | 21,802 | Add BLIP and BLIP-2 to image-to-text pipeline | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@ydshieh Are these tested automatically now ? Or should we add something to make sure they are tested too ?",
"Hey @Narsil !\r\n\r\nMy PR #21516 is not merged yet, and on `main` it is still using `metaclass`, so the pipeline tests ... | 1,677 | 1,677 | 1,677 | CONTRIBUTOR | null | # What does this PR do?
This PR adds BLIP and BLIP-2 to the image-to-text pipeline.
Usage is as follows:
```
from transformers import pipeline
from transformers import AutoProcessor, BlipForConditionalGeneration, Blip2ForConditionalGeneration
# BLIPv1
# processor = AutoProcessor.from_pretrained("Salesfor... | {
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https://api.github.com/repos/huggingface/transformers/issues/21801 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21801/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21801/comments | https://api.github.com/repos/huggingface/transformers/issues/21801/events | https://github.com/huggingface/transformers/issues/21801 | 1,599,750,737 | I_kwDOCUB6oc5fWkJR | 21,801 | Adding additional terms to the Transformers glossary | {
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"cc @MKhalusova and @stevhliu ",
"Thanks for the great suggestions, and for adding links to other docs for some of the definitions. Feel free to open a PR for these new definitions/changes! 😄 \r\n\r\n> encoder, decoder and encoder/decoder\r\n\r\nI think for encoder and decoder, we could combine those with the ex... | 1,677 | 1,678 | 1,678 | CONTRIBUTOR | null | ### Feature request
Adding definitions to the [Transformers glossary](https://huggingface.co/docs/transformers/glossary) for each of the following terms:
- **encoder, decoder and encoder/decoder:** You already have definitions for autoencoding and autoregressive models but it's not immediately clear from the glossa... | {
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https://api.github.com/repos/huggingface/transformers/issues/21800 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21800/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21800/comments | https://api.github.com/repos/huggingface/transformers/issues/21800/events | https://github.com/huggingface/transformers/pull/21800 | 1,599,661,921 | PR_kwDOCUB6oc5KwSoK | 21,800 | [deepspeed] check whether model is NLP one instead of counting on input type | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@izapolsk, I think the fix is much simpler. Just check if it's any type of `int` - I didn't think anybody would use a different int type than int64 when I coded this, so as new use cases come in, we can just adapt for it. \r\n\r\n```... | 1,677 | 1,677 | 1,677 | CONTRIBUTOR | null | # What does this PR do?
This PR intends to fix an issue when training of NLP model fails if input dtype isn't int64.
My dataset had dtype = int32. Everything was ok until I decided to add deepspeed.
It turned out that trainer relies on dtype and does input data convertion into hf_deepspeed_config.dtype if it isn't ... | {
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https://api.github.com/repos/huggingface/transformers/issues/21799 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21799/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21799/comments | https://api.github.com/repos/huggingface/transformers/issues/21799/events | https://github.com/huggingface/transformers/pull/21799 | 1,599,560,969 | PR_kwDOCUB6oc5Kv98z | 21,799 | Fix en documentation typos | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,677 | 1,677 | 1,677 | CONTRIBUTOR | null | # What does this PR do?
Fix a wrong URL as well as typos
## Before submitting
- [X] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [ ] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md#start-contribu... | {
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https://api.github.com/repos/huggingface/transformers/issues/21798 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21798/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21798/comments | https://api.github.com/repos/huggingface/transformers/issues/21798/events | https://github.com/huggingface/transformers/pull/21798 | 1,599,528,564 | PR_kwDOCUB6oc5Kv3f8 | 21,798 | Fix resume_from_checkpoint for deepspeed | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"ok, looks like we figured out the original so closing this one."
] | 1,677 | 1,677 | 1,677 | CONTRIBUTOR | null | something is borked with CircleCI when a contributor has a CircleCI account that isn't set up to some requirements - we don't know what - so I re-created the PR from the original https://github.com/huggingface/transformers/pull/21735
------------------
This PR overcomes a possible issue with the using deepspeed r... | {
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https://api.github.com/repos/huggingface/transformers/issues/21797 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21797/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21797/comments | https://api.github.com/repos/huggingface/transformers/issues/21797/events | https://github.com/huggingface/transformers/issues/21797 | 1,599,415,554 | I_kwDOCUB6oc5fVSUC | 21,797 | How to prune a transformer? | {
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"Please do not tag so many people, especially for an issue which is linked to the optimum repo (where you found this tutorial) and not the Transformers one.",
"okay Thank you so much for the suggestions I will remove from the task. ",
"This issue has been automatically marked as stale because it has not had rec... | 1,677 | 1,680 | 1,680 | NONE | null | ### System Info
Hi, I am trying to reduce memory and speed up my own fine-tuned transformer. I came across the [tutorial ](https://huggingface.co/docs/optimum/intel/optimization_inc) for pruning on the huggingface site. I am referring to the following snippet. The trainer.train() is missing, so I added it. It ran wi... | {
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https://api.github.com/repos/huggingface/transformers/issues/21796 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21796/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21796/comments | https://api.github.com/repos/huggingface/transformers/issues/21796/events | https://github.com/huggingface/transformers/issues/21796 | 1,599,327,160 | I_kwDOCUB6oc5fU8u4 | 21,796 | LLaMA | {
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"Hello, @michaelroyzen , I want to work on this issue, can you please clarify this:-\r\n1. The objective of this issue is to add the Llama model to the 🤗 models section right ?\r\nThe inference code for the Llama models is open sourced and weights and tokenizers are available as you mentioned. \r\nI can try to wor... | 1,677 | 1,679 | 1,679 | NONE | null | ### Model description
New model series from Facebook (7B, 33B, 66B) that is broadly competitive with Flan-PALM-540B.
https://research.facebook.com/publications/llama-open-and-efficient-foundation-language-models/
### Open source status
- [X] The model implementation is available
- [X] The model weights are availa... | {
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https://api.github.com/repos/huggingface/transformers/issues/21795 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21795/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21795/comments | https://api.github.com/repos/huggingface/transformers/issues/21795/events | https://github.com/huggingface/transformers/pull/21795 | 1,599,156,913 | PR_kwDOCUB6oc5Kunbl | 21,795 | Fix page counting in Slack CI report script. | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_21795). All of your documentation changes will be reflected on that endpoint.",
"My self doubt sprit and intuition led me to look the issue again, and it turned out the issue was coming from the GitHub API call rate limit w... | 1,677 | 1,677 | 1,677 | COLLABORATOR | null | # What does this PR do?
We started having an issue getting slack report for our CI. The error shown at the end indicates there is an issue to get all the job links for a workflow run. I take a look and find a change is necessary.
I am not sure why it was that way, especially for `i+2` part. But I remembered it ha... | {
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https://api.github.com/repos/huggingface/transformers/issues/21794 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/21794/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/21794/comments | https://api.github.com/repos/huggingface/transformers/issues/21794/events | https://github.com/huggingface/transformers/pull/21794 | 1,599,107,732 | PR_kwDOCUB6oc5KudE7 | 21,794 | [GPTJ] Fix gradient checkpointing bug | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@sgugger @amyeroberts As mentioned I did the following:-\r\n\r\n> Thanks for your PR! You need to remove the other one below (line 660).\r\n\r\nHowever won't that cause an issue with function declaration and it's corresponding else b... | 1,677 | 1,677 | 1,677 | CONTRIBUTOR | null | This PR fixes a bug that a user can encounter while using generate and models that use gradient_checkpointing.
Fixes Issue #21737
cc @sgugger @amyeroberts | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,677 | 1,677 | 1,677 | CONTRIBUTOR | null | # What does this PR do?
Fixes #21791
@sanchit-gandhi
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"_The documentation is not available anymore as the PR was closed or merged._",
"This is ready for review now! It's not that big, but it changes a lot of things:\r\n\r\n- Loading a PT model in TF with `from_pt=True` now supports `load_weight_prefix`\r\n- Loading a sharded TF checkpoint now supports `load_weight_p... | 1,677 | 1,677 | 1,677 | MEMBER | null | Draft PR for now, this will probably break a bunch of stuff until I get it all working!
- [X] Support `from_pt` and `load_weight_prefix` at the same time
- [x] Replace hacky loading code in models that was written to get around this issue
- [x] ~Test and possibly replace code paths that name submodules based on `c... | {
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"I think the expected behavior should be returning:\r\n\r\n`['<|startoftranscript|><|en|><|transcribe|><|notimestamps|> Mischekvilder is the apostle of the middle classes, and we are glad to welcome his gospel.<|endoftext|>']`\r\n\r\nThe generation config has [[1, None], ...] for forced decoder ids, so the language... | 1,677 | 1,678 | 1,677 | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.27.0.dev0
- Platform: Linux-4.19.0-21-cloud-amd64-x86_64-with-debian-10.13
- Python version: 3.7.12
- Huggingface_hub version: 0.12.1
- PyTorch version (GPU?): 1.12.1+cpu (False)
- Tensorflow version (GPU?): 2.11.0 (True)
- Flax version (CPU?/GPU?/TPU?): 0.6.4 (gpu)
... | {
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