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https://api.github.com/repos/huggingface/transformers/issues/20084 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20084/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20084/comments | https://api.github.com/repos/huggingface/transformers/issues/20084/events | https://github.com/huggingface/transformers/pull/20084 | 1,437,320,675 | PR_kwDOCUB6oc5CRh2R | 20,084 | [Docs] Add resources of OpenAI GPT | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_20084). All of your documentation changes will be reflected on that endpoint.",
"Hi @stevhliu, I added relevant scripts and notebooks so please have a look!",
"The docs for this PR live [here](https://moon-ci-docs.hugging... | 1,667 | 1,668 | 1,668 | CONTRIBUTOR | null | # What does this PR do?
Adds resources of OpenAI GPT according to [this issue](https://github.com/huggingface/transformers/issues/20055)
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https://api.github.com/repos/huggingface/transformers/issues/20083 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20083/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20083/comments | https://api.github.com/repos/huggingface/transformers/issues/20083/events | https://github.com/huggingface/transformers/issues/20083 | 1,437,305,820 | I_kwDOCUB6oc5Vq4vc | 20,083 | Where is the Translation template ? | {
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"There's some relevant issues on this where people encountered the same issue:\r\n* #17404\r\n* #17028 \r\n\r\nFor context, @bfss is stating that the [TRANSLATING.md](https://github.com/huggingface/transformers/blob/main/docs/TRANSLATING.md) documentation says:\r\n> To get started, navigate to the [Issues](https://... | 1,667 | 1,668 | 1,667 | CONTRIBUTOR | null | I want to translate the doc in leisure time, and I followed the guide, but not found Translation template... | {
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https://api.github.com/repos/huggingface/transformers/issues/20082 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20082/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20082/comments | https://api.github.com/repos/huggingface/transformers/issues/20082/events | https://github.com/huggingface/transformers/issues/20082 | 1,437,174,461 | I_kwDOCUB6oc5VqYq9 | 20,082 | Models trained using Deepspeed ZeRO stage 3 have corrupted model weight shape | {
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"Full error message with all the incorrect layers below:\r\n```\r\nRuntimeError: Error(s) in loading state_dict for OPTForCausalLM:\r\n size mismatch for model.decoder.embed_tokens.weight: copying a param with shape torch.Size([0]) from checkpoint, the shape in current model is torch.Size([50272, 2560]).\r\n... | 1,667 | 1,671 | 1,671 | NONE | null | ### System Info
transformers version: 4.21.1 | 4.24.0
- Platform: Linux-5.15.0-52-generic-x86_64-with-glibc2.17
- Python version: 3.8.13
- Huggingface_hub version: 0.10.0
- PyTorch version (GPU?): 1.12.1+cu113 (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/20081 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20081/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20081/comments | https://api.github.com/repos/huggingface/transformers/issues/20081/events | https://github.com/huggingface/transformers/issues/20081 | 1,437,063,655 | I_kwDOCUB6oc5Vp9nn | 20,081 | Discrepancy between PegasusTokenizer and PegasusTokenizerFast | {
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"I think this may be the problem of `PegasusTokenizer.decode()`. It indeed add `<\\s>` to the end of the sentence, but decoder fails to keep it even when `skip_special_tokens=False`\r\n<img width=\"819\" alt=\"draft ipynb — selfmem SSH: wict3090 2022-11-06 10-19-50\" src=\"https://user-images.githubusercontent.co... | 1,667 | 1,667 | 1,667 | NONE | null | ### System Info
- `transformers` version: 4.22.0.dev0
- Platform: Linux-5.8.0-51-generic-x86_64-with-glibc2.10
- Python version: 3.8.13
- Huggingface_hub version: 0.8.1
- PyTorch version (GPU?): 1.12.1+cu113 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA... | {
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https://api.github.com/repos/huggingface/transformers/issues/20080 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20080/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20080/comments | https://api.github.com/repos/huggingface/transformers/issues/20080/events | https://github.com/huggingface/transformers/pull/20080 | 1,437,030,398 | PR_kwDOCUB6oc5CQpCK | 20,080 | [Doctest] Add configuration_dpr.py | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,667 | 1,667 | 1,667 | CONTRIBUTOR | null | # What does this PR do?
Adds configuration_dpr.py to utils/documentation_tests.txt
Based on https://github.com/huggingface/transformers/issues/19487
@ydshieh can you please have a look? thanks :D
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https://api.github.com/repos/huggingface/transformers/issues/20079 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20079/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20079/comments | https://api.github.com/repos/huggingface/transformers/issues/20079/events | https://github.com/huggingface/transformers/issues/20079 | 1,436,894,843 | I_kwDOCUB6oc5VpUZ7 | 20,079 | Exception on saving results in official glue example scripts | {
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"Yes, the whole `eval_metric` dict should probably be dumped without accessing keys. Do you want to open a PR with this change?\r\ncc @muellerzr who wrote this.",
"Yeah, I'd like to help. The `eval_metric` should be dumped with all its keys prefixed by `eval_`, just like what `run_glue.py` does.\r\nhttps://github... | 1,667 | 1,668 | 1,668 | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.25.0.dev0
- Platform: Linux-4.14.81.bm.22-amd64-x86_64-with-glibc2.17
- Python version: 3.8.13
- Huggingface_hub version: 0.10.0
- PyTorch version (GPU?): 1.12.1+cu116 (True)
- Tensorflow version (GPU?): not installed (NA)
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https://api.github.com/repos/huggingface/transformers/issues/20078 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20078/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20078/comments | https://api.github.com/repos/huggingface/transformers/issues/20078/events | https://github.com/huggingface/transformers/issues/20078 | 1,436,862,441 | I_kwDOCUB6oc5VpMfp | 20,078 | Converting CLIPText Model (transformers.CLIPTextModel) Embeddings Back to Text | {
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"Please use the [forums](https://discuss.huggingface.co/) for such questions as we keep issues for bugs and feature requests only."
] | 1,667 | 1,668 | 1,668 | NONE | null | ### Feature request
Is there a method for converting CLIPText Model (transformers.CLIPTextModel) model embeddings back to text? I looked in the documentation, but could not find anything that addresses this specific query.
I am also interested in finding out the following:
- Are there tools in the Hugging Face eco... | {
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https://api.github.com/repos/huggingface/transformers/issues/20077 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20077/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20077/comments | https://api.github.com/repos/huggingface/transformers/issues/20077/events | https://github.com/huggingface/transformers/pull/20077 | 1,436,734,682 | PR_kwDOCUB6oc5CPqjW | 20,077 | Use huggingface_hub.model_info() to get pipline_tag | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thanks for your PR @y-tag!"
] | 1,667 | 1,667 | 1,667 | CONTRIBUTOR | null | # What does this PR do?
This PR replaces raw HTTP GET with `huggingface_hub.model_info()` to get `pipeline_tag` of model.
## 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.co... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,667 | 1,692 | 1,667 | CONTRIBUTOR | null | # What does this PR do?
Sorry for the two pull requests, I used the online edit function and wasn't sure how to group the two commits into one PR.
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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... | 1,667 | 1,671 | 1,671 | NONE | null | # What does this PR do?
This PR adds the SpA-Former model to the 🤗 repository.
I also opened an Issue for adding the model https://github.com/huggingface/transformers/issues/19971
# Who can review?
@NielsRogge | {
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https://api.github.com/repos/huggingface/transformers/issues/20072 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20072/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20072/comments | https://api.github.com/repos/huggingface/transformers/issues/20072/events | https://github.com/huggingface/transformers/issues/20072 | 1,436,633,539 | I_kwDOCUB6oc5VoUnD | 20,072 | save_pretrained not working correctly when using device_map="auto" for big models in from_pretrained | {
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"Thanks for the report! Using `device_map=\"auto\"` is only for inference, and it indeed does not work with `save_pretrained` yet, especially with offloaded weights.\r\n\r\nWe will look at adding support for this in the future!",
"This issue has been automatically marked as stale because it has not had recent act... | 1,667 | 1,671 | 1,671 | NONE | null | ### System Info
- `transformers` version: 4.21.3
- Platform: Windows-10-10.0.19044-SP0
- Python version: 3.10.5
- Huggingface_hub version: 0.10.1
- PyTorch version (GPU?): 1.12.0 (True)
- Tensorflow version (GPU?): 2.9.1 (True)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not installed
- ... | {
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https://api.github.com/repos/huggingface/transformers/issues/20071 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20071/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20071/comments | https://api.github.com/repos/huggingface/transformers/issues/20071/events | https://github.com/huggingface/transformers/issues/20071 | 1,436,619,026 | I_kwDOCUB6oc5VoRES | 20,071 | Transformer is not compatible with Python 3.11.0 | {
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"Hey @donhuvy, I don't see anything specific to `transformers`, only to `torch`. How is this related to transformers?",
"It is https://github.com/donhuvy/vy_thesis/blob/main/source/train.py#L22\r\n\r\n```\r\ntokenizer=transformers.AutoTokenizer.from_pretrained(hyps_file[\"encoder\"], use_fast=False),\r\n```\r\nFr... | 1,667 | 1,690 | 1,671 | NONE | null | ### System Info
```
Microsoft Windows [Version 10.0.22621.674]
(c) Microsoft Corporation. All rights reserved.
C:\Users\donhu>wget https://raw.githubusercontent.com/pytorch/pytorch/master/torch/utils/collect_env.py
'wget' is not recognized as an internal or external command,
operable program or batch file.
... | {
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https://api.github.com/repos/huggingface/transformers/issues/20070 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20070/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20070/comments | https://api.github.com/repos/huggingface/transformers/issues/20070/events | https://github.com/huggingface/transformers/issues/20070 | 1,436,441,515 | I_kwDOCUB6oc5Vnlur | 20,070 | IndexError running ESMFold | {
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"I guess you need to call\r\n```\r\ninputs = tokenizer([\"MLKNVQVQLV\"], return_tensors=\"pt\", add_special_tokens=False)\r\n```\r\ncode example was already updated:\r\nhttps://github.com/huggingface/transformers/blob/main/src/transformers/models/esm/modeling_esmfold.py#L2103\r\n",
"Thanks @maxjeblick! And yes - ... | 1,667 | 1,668 | 1,667 | NONE | null | ### System Info
CentOS 7, transformers-4.25.0.dev0, Python 3.10.6
### Who can help?
@Rocketknight1
### 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 own task or dataset (give d... | {
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https://api.github.com/repos/huggingface/transformers/issues/20069 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20069/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20069/comments | https://api.github.com/repos/huggingface/transformers/issues/20069/events | https://github.com/huggingface/transformers/pull/20069 | 1,436,269,547 | PR_kwDOCUB6oc5COH5y | 20,069 | Show installed libraries and their versions | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,667 | 1,667 | 1,667 | COLLABORATOR | null | # What does this PR do?
Similar to #20026, to make this information easier to access. | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,667 | 1,667 | 1,667 | CONTRIBUTOR | null | Update documentation on seq2seq models with absolute positional embeddings to be in line with BERT and GPT2.
Issue #19581. For models with absolute positional embeddings, it is not usually a good idea to left-pad as if positional embeddings are not shifted the right amount for each element in the batch the results wi... | {
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https://api.github.com/repos/huggingface/transformers/issues/20067 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20067/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20067/comments | https://api.github.com/repos/huggingface/transformers/issues/20067/events | https://github.com/huggingface/transformers/pull/20067 | 1,436,162,620 | PR_kwDOCUB6oc5CNxAN | 20,067 | Update READMEs for ESMFold and add notebooks | {
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"Woah, PyCharm murdered the formatting on that table. One sec!",
"Formatting fixed now, sorry about that!",
"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,667 | 1,667 | 1,667 | MEMBER | null | This PR adds ESMFold to the main README and adds links to the protein LM and protein folding notebooks. | {
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https://api.github.com/repos/huggingface/transformers/issues/20066 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20066/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20066/comments | https://api.github.com/repos/huggingface/transformers/issues/20066/events | https://github.com/huggingface/transformers/pull/20066 | 1,436,131,611 | PR_kwDOCUB6oc5CNqvM | 20,066 | Add CLIPSeg | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Is the CLIPSeg yet to be released in the latest version?\r\n"
] | 1,667 | 1,669 | 1,667 | CONTRIBUTOR | null | # What does this PR do?
This PR adds CLIPSeg, a nice extension of CLIP for zero-shot and one-shot (image-guided) image segmentation.
To do:
- [x] transfer checkpoints and update code
- [x] update base_model_prefix | {
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https://api.github.com/repos/huggingface/transformers/issues/20065 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20065/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20065/comments | https://api.github.com/repos/huggingface/transformers/issues/20065/events | https://github.com/huggingface/transformers/pull/20065 | 1,436,114,389 | PR_kwDOCUB6oc5CNnEG | 20,065 | Update defaults and logic to match old FE | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,667 | 1,667 | 1,667 | COLLABORATOR | null | # What does this PR do?
Updates defaults and logic in image processors to match the previous feature extractors. Fixes some broken inference tests.
## 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 g... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,667 | 1,667 | 1,667 | CONTRIBUTOR | null | # What does this PR do?
Trainer's `push_to_hub` fails if `model_name` is specified in the kwargs.
The variable `model_name` is explicitly defined in the `push_to_hub` method:
https://github.com/huggingface/transformers/blob/d447c460b16626c656e4d7a9425f648fe69517b3/src/transformers/trainer.py#L3449
And then s... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,667 | 1,667 | 1,667 | CONTRIBUTOR | null | # What does this PR do?
1. fix `tokenizer_type` to avoid error when loading checkpoint back | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"For FX, I think this is already tested in the CI so I guess it does not break things. \r\nFor the ONNX export, it's not tested but it should not break things IMO.",
"Following the change, the training with ONNX Runtime breaks as `m... | 1,667 | 1,670 | 1,667 | CONTRIBUTOR | null | # What does this PR do?
Change `torch.tensor` to `torch.full` from GPT-2 to avoid CPU-GPU synchronization.
## Benchmarks with PyTorch Profiler
Here's a trace of a single GPT-2 tra... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thanks a lot for your PR. This custom tokenizer should really go on the Hub in the repos that use it, using our [code on the Hub](https://huggingface.co/docs/transformers/custom_models) feature, instead of adding a new model though."... | 1,667 | 1,667 | 1,667 | NONE | null | # What does this PR do?
<!--
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https://api.github.com/repos/huggingface/transformers/issues/20059 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20059/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20059/comments | https://api.github.com/repos/huggingface/transformers/issues/20059/events | https://github.com/huggingface/transformers/pull/20059 | 1,435,640,293 | PR_kwDOCUB6oc5CMBmr | 20,059 | Removing RobertaConfig inheritance from CamembertConfig | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"> Also make sure you run `make style` on your branch to fix the formatting.\r\n\r\n`make style` changed some files in other folders as well related to other models. Since I didn't change them, I didn't add them in this PR, and only a... | 1,667 | 1,667 | 1,667 | CONTRIBUTOR | null | # What does this PR do?
Removes RobertaConfig dependencies from CamembertConfig
Related to https://github.com/huggingface/transformers/issues/19303
@sgugger can I please get some feedback on this. Thanks 😄
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https://api.github.com/repos/huggingface/transformers/issues/20058 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20058/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20058/comments | https://api.github.com/repos/huggingface/transformers/issues/20058/events | https://github.com/huggingface/transformers/issues/20058 | 1,435,553,100 | I_kwDOCUB6oc5VkM1M | 20,058 | Push to Hub fails with `model_name` | {
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"Thanks for flagging this @BirgerMoell - should be fixed in the linked PR!",
"Thank you so much for resolving this issue. I managed to push the model to the hub through the script but I still get the original error.\r\n\r\n`Can't load tokenizer using from_pretrained, please update its configuration: Can't load to... | 1,667 | 1,667 | 1,667 | NONE | null | ### System Info
- `transformers` version: 4.25.0.dev0
- Platform: Linux-5.15.0-48-generic-x86_64-with-glibc2.31
- Python version: 3.9.13
- Huggingface_hub version: 0.10.1
- PyTorch version (GPU?): 1.13.0+cu117 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed... | {
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https://api.github.com/repos/huggingface/transformers/issues/20057 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20057/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20057/comments | https://api.github.com/repos/huggingface/transformers/issues/20057/events | https://github.com/huggingface/transformers/issues/20057 | 1,435,505,970 | I_kwDOCUB6oc5VkBUy | 20,057 | Timestamps in Whisper processor | {
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"cc @sanchit-gandhi or @ArthurZucker ",
"Related to #19887, in which timestamps for Whisper were discussed. Is this on your timeline @ArthurZucker as part of the Whisper integration? Otherwise I'll add it to my TODO's!",
"Hey, really sorry for being so late. Will focus on that next week! I'll ping you once a dr... | 1,667 | 1,676 | 1,667 | NONE | null | ### Feature request
output_word_offsets argument in Whisper's processor.decode() function.
I want to get the timestamp of the start and end of each word.
### Motivation
I cannot use Whisper until it accommodates for word timestamps and long audio.
### Your contribution
With guidance, happy to submit it but will... | {
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https://api.github.com/repos/huggingface/transformers/issues/20056 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20056/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20056/comments | https://api.github.com/repos/huggingface/transformers/issues/20056/events | https://github.com/huggingface/transformers/issues/20056 | 1,435,378,109 | I_kwDOCUB6oc5VjiG9 | 20,056 | Unable to load CodeGenTokenizer | {
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"You should double-check that the version of Transformers seen when executing your code is indeed a source install (you can print `transformers.__version__` after importing transformers), as it looks like an issue within your env.",
"Thx!"
] | 1,667 | 1,667 | 1,667 | NONE | null | ### System Info
I did `pip install git+https://github.com/huggingface/transformers.git`
try to load the class with `from transformers import CodeGenTokenizer`
results in
```
ImportError: cannot import name 'CodeGenTokenizer' from 'transformers' (/usr/local/lib/python3.9/dist-packages/transformers/__init__.py... | {
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https://api.github.com/repos/huggingface/transformers/issues/20055 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20055/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20055/comments | https://api.github.com/repos/huggingface/transformers/issues/20055/events | https://github.com/huggingface/transformers/issues/20055 | 1,435,378,021 | I_kwDOCUB6oc5VjiFl | 20,055 | Model resources contribution | {
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"Hi @stevhliu, I want to work on OpenAI GPT!",
"Awesome! I'm looking forward to your contribution, and feel free to ping me if you have any questions! 🤗",
"@stevhliu \r\nI have a question. Is there a good way to search GitHub and blog posts? I tried to find related repos and blog posts with the word `OpenAI GP... | 1,667 | 1,703 | 1,700 | MEMBER | null | Hi friends! 👋
There are a lot of cool existing resources for how to do *x* with *x* model, and we’d like to showcase and aggregate these resources on a model’s documentation. This’ll help users see how they can get started with a model for their own tasks since we know a lot of users check out the model documentati... | {
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https://api.github.com/repos/huggingface/transformers/issues/20054 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20054/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20054/comments | https://api.github.com/repos/huggingface/transformers/issues/20054/events | https://github.com/huggingface/transformers/pull/20054 | 1,435,356,666 | PR_kwDOCUB6oc5CLF9x | 20,054 | Adapt PerceiverIO Multimodal class to work with arbitrary modalities | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@sgugger can you take a look at this PR? I'm happy to make any modifications to get this through. These changes are required to use the multimodal classes on modalities other than those that are currently hard-coded.",
"Thanks for ... | 1,667 | 1,676 | 1,676 | CONTRIBUTOR | null | # What does this PR do?
The current codebase is excellent, but the multimodal classes are tightly coupled to the example in the paper where the modalities are video, audio, and binary class labels. This PR makes a few small changes to support arbitrary modalities, such as text and image.
## Before submitting
-... | {
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https://api.github.com/repos/huggingface/transformers/issues/20053 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20053/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20053/comments | https://api.github.com/repos/huggingface/transformers/issues/20053/events | https://github.com/huggingface/transformers/issues/20053 | 1,435,308,088 | I_kwDOCUB6oc5VjRA4 | 20,053 | Is there a no_trainer version for image pertaining | {
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"@NielsRogge",
"Not yet, but it would be straightforward to add.\r\n\r\nMarking this as a good first issue.",
"Hi @NielsRogge, I would like to try to add it.",
"Hi @atturaioe, awesome.\r\n\r\nSo in [this folder](https://github.com/huggingface/transformers/tree/main/examples/pytorch/image-pretraining), one cou... | 1,667 | 1,683 | 1,683 | NONE | null | ### Feature request
I wonder if there is a run_no_trainer code for image pertaining? @NielsRogge
### Motivation
I usually use no trainer in my code because the trainer cannot should much detail.
### Your contribution
NA | {
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https://api.github.com/repos/huggingface/transformers/issues/20052 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20052/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20052/comments | https://api.github.com/repos/huggingface/transformers/issues/20052/events | https://github.com/huggingface/transformers/pull/20052 | 1,435,166,278 | PR_kwDOCUB6oc5CKdhp | 20,052 | Implement tf big bird port | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_20052). 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... | 1,667 | 1,670 | 1,670 | CONTRIBUTOR | null | # What does this PR do?
Solves #19430 by implementing BigBird in Tensorflow
I had an earlier demo PR up, but this one will be the main PR I use to hopefully get this merged in once it's all working :)
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if tha... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,667 | 1,667 | 1,667 | MEMBER | null | This PR adds some new terms related to computer vision and speech to the glossary, feel free to let me know if I'm missing any you think are important that would help users better understand the docs! | {
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https://api.github.com/repos/huggingface/transformers/issues/20050 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20050/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20050/comments | https://api.github.com/repos/huggingface/transformers/issues/20050/events | https://github.com/huggingface/transformers/pull/20050 | 1,435,064,797 | PR_kwDOCUB6oc5CKHxO | 20,050 | Generate: TF contrastive search with XLA support | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"(@Rocketknight1 is off, so I'm merging this to not slow down the corresponding blog post, which will contain TF examples thanks to this PR :D In any case, have a quick look when you're back, to ensure we kill any bad pattern before v... | 1,667 | 1,667 | 1,667 | MEMBER | null | # What does this PR do?
Adds contrastive search to TF, with XLA support.
In essence, TF's contrastive search is very similar to PT's, adapted to the structure that is present in other TF XLA generation functions (i.e. has a dedicated function to loop over, a separate function to update `model_kwargs` when in XLA ... | {
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https://api.github.com/repos/huggingface/transformers/issues/20049 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20049/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20049/comments | https://api.github.com/repos/huggingface/transformers/issues/20049/events | https://github.com/huggingface/transformers/pull/20049 | 1,435,052,403 | PR_kwDOCUB6oc5CKFF9 | 20,049 | updating the warmup_ratio from 0.1 to 0.2 | {
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"@lvwerra - what should I do next?",
"Closing this - just used this to show how to make a PR for the transformers reading group! Sorry for the unnecessary pings :)",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_20049). All of your documentation changes will be refle... | 1,667 | 1,667 | 1,667 | MEMBER | null | # What does this PR do?
<!--
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Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
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https://api.github.com/repos/huggingface/transformers/issues/20048 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20048/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20048/comments | https://api.github.com/repos/huggingface/transformers/issues/20048/events | https://github.com/huggingface/transformers/pull/20048 | 1,435,050,738 | PR_kwDOCUB6oc5CKEu5 | 20,048 | PoolformerImageProcessor defaults to match previous FE | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,667 | 1,667 | 1,667 | COLLABORATOR | null | # What does this PR do?
Output of PoolformerImageProcessor didn't exactly match previous feature extractor. Updates defaults and size calculation logic to match outputs.
Running:
```
import torch
from transformers import PoolFormerFeatureExtractor, PoolFormerModel
from datasets import load_dataset
dataset =... | {
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https://api.github.com/repos/huggingface/transformers/issues/20047 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20047/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20047/comments | https://api.github.com/repos/huggingface/transformers/issues/20047/events | https://github.com/huggingface/transformers/issues/20047 | 1,434,979,562 | I_kwDOCUB6oc5ViAzq | 20,047 | pipeline("summarization") is extractive vs abstractive? | {
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"Please use the [forums](https://discuss.huggingface.co/) for such questions as we keep issues for bugs and feature requests only.",
"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 not... | 1,667 | 1,670 | 1,670 | NONE | null | ### System Info
pipeline("summarization") is extractive vs abstractive?
# use bart in pytorch
summarizer = pipeline("summarization")
summarizer("An apple a day, keeps the doctor away", min_length=5, max_length=20)
# use t5 in tf
summarizer = pipeline("summarization", model="t5-base", tokenizer="t5-base", fram... | {
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https://api.github.com/repos/huggingface/transformers/issues/20046 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20046/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20046/comments | https://api.github.com/repos/huggingface/transformers/issues/20046/events | https://github.com/huggingface/transformers/issues/20046 | 1,434,955,075 | I_kwDOCUB6oc5Vh61D | 20,046 | Multilabel, multiclass models with >2 classes per label using BCELoss instead of CategoricalCrossentropy | {
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"Also, just thinking about correctness, the model could possibly give both Dog and Cat as an answer when using BCEWithLogitsLoss since it treats them as independent labels during fine-tuning after one hot encoding. This seems wrong to me. Perhaps I am missing something here? We should just use multiple Categoric... | 1,667 | 1,667 | 1,667 | NONE | null | ### System Info
latest transformers
### Who can help?
@sgugger
### 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 own task or dataset (give details below)
### Reproduction
The ... | {
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https://api.github.com/repos/huggingface/transformers/issues/20045 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20045/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20045/comments | https://api.github.com/repos/huggingface/transformers/issues/20045/events | https://github.com/huggingface/transformers/pull/20045 | 1,434,916,863 | PR_kwDOCUB6oc5CJnzb | 20,045 | Fix ESM LM head test | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@ydshieh Unfortunately I deleted and remade the repos, so there's no commit to point at! I'll try to do that in future though."
] | 1,667 | 1,667 | 1,667 | MEMBER | null | The original ESM-2 checkpoints had a bug that meant the LM head bias was not saved correctly. Now this has been fixed, we need to update our LM test as well.
cc @ydshieh | {
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https://api.github.com/repos/huggingface/transformers/issues/20044 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20044/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20044/comments | https://api.github.com/repos/huggingface/transformers/issues/20044/events | https://github.com/huggingface/transformers/pull/20044 | 1,434,859,714 | PR_kwDOCUB6oc5CJbmX | 20,044 | Allow passing arguments to model testers for CLIP-like models | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"`GroupViT`, `OwlViT`, `XCLIP`.\r\n\r\n`Flava` too, but with name `image_model_tester` instead of `vision_model_tester`.\r\n\r\n\r\n\r\n"
] | 1,667 | 1,667 | 1,667 | COLLABORATOR | null | # What does this PR do?
This is a continuation of PR #19954, but for model likes `CLIP`. Currently for such models, we have
```python
class CLIPModelTester:
def __init__(self, parent, is_training=True):
self.parent = parent
self.text_model_tester = CLIPTextModelTester(parent)
self.... | {
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https://api.github.com/repos/huggingface/transformers/issues/20043 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20043/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20043/comments | https://api.github.com/repos/huggingface/transformers/issues/20043/events | https://github.com/huggingface/transformers/pull/20043 | 1,434,858,577 | PR_kwDOCUB6oc5CJbXA | 20,043 | Only resize embeddings when necessary | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,667 | 1,667 | 1,667 | COLLABORATOR | null | # What does this PR do?
As seen in #19959, using our examples with models where the embedding size is larger than the tokenizer for padding reasons (to get embedding dim a multiple of a give number like 8 or 128), the fine-tuned models become incompatible with the original model.
This has confused a lot of users,... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@ydshieh the `splinter` test failing is normal ?\r\n```\r\nFAILED tests/models/splinter/test_modeling_splinter.py::SplinterModelTest::test_save_load_fast_init_from_base - AssertionError: 3069.73388671875 not less than or equal to 0.0... | 1,667 | 1,669 | 1,668 | CONTRIBUTOR | null | # What does this PR do?
This adds a new part of the `tied_weights` test that aims at detecting automatically
when `_keys_to_ignore` is incorrectly set.
`_keys_to_ignore` aims to ignore weights that are supposed to be tied in the
final model, meaning it's OK if the parameter is missing from the on-disk weights.
The w... | {
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"The error is that your token is not properly registered or does not grant access to the model. If you have accepted the terms of the license online, then it's probably a bug in `huggingface_hub` not setting your token properly, so you should report an issue in that repo :-)",
"This issue has been automatically m... | 1,667 | 1,670 | 1,670 | NONE | null | ### System Info
Google Colab, Free version, GPU
### Who can help?
@NielsRogge, @sgugger
### Information
- [ ] The official example scripts
- [X] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [X] My own task or dataset (gi... | {
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https://api.github.com/repos/huggingface/transformers/issues/20040 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20040/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20040/comments | https://api.github.com/repos/huggingface/transformers/issues/20040/events | https://github.com/huggingface/transformers/pull/20040 | 1,434,676,888 | PR_kwDOCUB6oc5CI0Kx | 20,040 | `torch.finfo` issue with torch.fx | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,667 | 1,667 | 1,667 | MEMBER | null | # What does this PR do?
This PR allows the tracing of `torch.finfo` which were added massively to model implementations recently. | {
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https://api.github.com/repos/huggingface/transformers/issues/20039 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20039/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20039/comments | https://api.github.com/repos/huggingface/transformers/issues/20039/events | https://github.com/huggingface/transformers/pull/20039 | 1,434,655,344 | PR_kwDOCUB6oc5CIvex | 20,039 | [Doctest] Add configuration_camembert.py | {
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Adds configuration_camembert.py to utils/documentation_tests.txt
Based on https://github.com/huggingface/transformers/issues/19487
@ydshieh can you please have a look? thanks :D
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https://api.github.com/repos/huggingface/transformers/issues/20038 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20038/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20038/comments | https://api.github.com/repos/huggingface/transformers/issues/20038/events | https://github.com/huggingface/transformers/issues/20038 | 1,434,506,296 | I_kwDOCUB6oc5VgNQ4 | 20,038 | Amazon Sagemaker deployment issue for FLAN-T5 model family | {
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"cc @philschmid ",
"Hello @BalazsFeherUK, \r\n\r\nIt seems that `T5-FLAN`/ `T5LayerFF` is not yet supported in `transformers==4.17.0`. You would need to update the transformers version to be able to use the model. You can check the forum on how you would do this: https://discuss.huggingface.co/t/deploying-open-ai... | 1,667 | 1,667 | 1,667 | NONE | null | ### System Info
transformers_version='4.17.0',
pytorch_version='1.10.2',
py_version='py38',
### Who can help?
@ArthurZucker
### Information
- [X] The official example scripts
- [ ] My own modified scripts
### Tasks
- [X] An officially supported task in the `examples` folder (such as GLUE/SQuA... | {
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https://api.github.com/repos/huggingface/transformers/issues/20037 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20037/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20037/comments | https://api.github.com/repos/huggingface/transformers/issues/20037/events | https://github.com/huggingface/transformers/pull/20037 | 1,434,443,800 | PR_kwDOCUB6oc5CIBxs | 20,037 | Add **kwargs to preprocess method | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Agreed - I'll add splitting up the kwargs on the TODO list! "
] | 1,667 | 1,667 | 1,667 | COLLABORATOR | null | # What does this PR do?
Fixes failing doctests with (and real life usage of) processors which contain two processing objects: one image processor + one tokenizer/feature extractor.
When the processor is called, all kwargs are passed to both processing objects e.g. in CLIPProcessor: https://github.com/huggingface... | {
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https://api.github.com/repos/huggingface/transformers/issues/20036 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20036/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20036/comments | https://api.github.com/repos/huggingface/transformers/issues/20036/events | https://github.com/huggingface/transformers/pull/20036 | 1,434,375,255 | PR_kwDOCUB6oc5CHzKf | 20,036 | Fix some doctests after PR 15775 | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Sorry, I always missed the last piece. Added the final commit to fix `docs/source/en/model_doc/speech_to_text.mdx`.\r\n\r\n\r\nhttps://github.com/huggingface/transformers/pull/20036/commits/e6c4bc5f45fee4a8d3997bc4c04896fac1c25284"
] | 1,667 | 1,667 | 1,667 | COLLABORATOR | null | # What does this PR do?
After PR #15775, we need to either update some expected values or specify `skip_special_tokens=True`.
I am not very comfortable to use `skip_special_tokens=True` for `PT_QUESTION_ANSWERING_SAMPLE` in `doc.py`, as it might fail other tests. We will have to run the doctest manually to see if... | {
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https://api.github.com/repos/huggingface/transformers/issues/20035 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20035/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20035/comments | https://api.github.com/repos/huggingface/transformers/issues/20035/events | https://github.com/huggingface/transformers/issues/20035 | 1,434,348,899 | I_kwDOCUB6oc5Vfm1j | 20,035 | Answer Mismatch: run squad_convert_examples_to_features with xlm-roberta | {
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"Thanks for the report. However, as you have probably seen when executing it, `squad_convert_examples_to_features` is deprecated, so it's not maintained anymore.",
"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 commen... | 1,667 | 1,670 | 1,670 | NONE | null | ### System Info
- `transformers` version: 4.5.1
- Platform: Linux-4.15.0-142-generic-x86_64-with-debian-stretch-sid
- Python version: 3.7.9
- PyTorch version (GPU?): 1.8.1+cu102 (True)
- Tensorflow version (GPU?): not installed (NA)
### Who can help?
@sgugger
@mfuntowicz
@aaugustin
### Information
- [X] T... | {
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https://api.github.com/repos/huggingface/transformers/issues/20034 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20034/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20034/comments | https://api.github.com/repos/huggingface/transformers/issues/20034/events | https://github.com/huggingface/transformers/pull/20034 | 1,434,340,015 | PR_kwDOCUB6oc5CHrmP | 20,034 | [Swin] Add Swin SimMIM checkpoints | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,667 | 1,667 | 1,667 | CONTRIBUTOR | null | # What does this PR do?
This PR adds 2 checkpoints for Swin Transformer pre-trained using the SimMIM objective (taken from [here](https://github.com/microsoft/Swin-Transformer/blob/main/MODELHUB.md#simmim-pretrained-swin-v1-models)).
They are on the hub: https://huggingface.co/models?other=simmim
It also fixes... | {
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https://api.github.com/repos/huggingface/transformers/issues/20033 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20033/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20033/comments | https://api.github.com/repos/huggingface/transformers/issues/20033/events | https://github.com/huggingface/transformers/pull/20033 | 1,434,189,995 | PR_kwDOCUB6oc5CHLmN | 20,033 | Give `modeling_t5.py` a `_prune_heads` | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_20033). All of your documentation changes will be reflected on that endpoint."
] | 1,667 | 1,667 | 1,667 | NONE | null | # What does this PR do?
Run CircleCI tests for #19975
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https://api.github.com/repos/huggingface/transformers/issues/20032 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20032/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20032/comments | https://api.github.com/repos/huggingface/transformers/issues/20032/events | https://github.com/huggingface/transformers/issues/20032 | 1,434,184,506 | I_kwDOCUB6oc5Ve-s6 | 20,032 | Type annotation for `pipeline()`s | {
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"Thanks for opening the issue. As of now, we have decided not to add any type annotations that render the code less readable. So whenever they can be added with no cost in readability, we welcome PRs, but for something more complex like you are suggesting, we would probably be less interested.",
"That seems reaso... | 1,667 | 1,667 | 1,667 | NONE | null | ### Feature request
Currently, the return type of many functions are not defined.
```py
tokenizer = AutoTokenizer.from_pretrained("distilbert-base-uncased-finetuned-sst-2-english")
tokenizer( # no type checking/help here
```
It would be nice if the return type was set, the equivalent of me doing it manually wit... | {
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https://api.github.com/repos/huggingface/transformers/issues/20031 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20031/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20031/comments | https://api.github.com/repos/huggingface/transformers/issues/20031/events | https://github.com/huggingface/transformers/issues/20031 | 1,434,070,429 | I_kwDOCUB6oc5Vei2d | 20,031 | BigBird attention type switching | {
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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... | 1,667 | 1,675 | 1,675 | NONE | null | ### System Info
transformers 4.21.2 BigBirdModel
### Who can help?
@ydshieh
### Information
- [ ] The official example scripts
- [X] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [X] My own task or dataset (give details below)
### Repro... | {
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https://api.github.com/repos/huggingface/transformers/issues/20030 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20030/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20030/comments | https://api.github.com/repos/huggingface/transformers/issues/20030/events | https://github.com/huggingface/transformers/pull/20030 | 1,433,814,129 | PR_kwDOCUB6oc5CF7U3 | 20,030 | Now supporting pathlike in pipelines too. | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,667 | 1,667 | 1,667 | CONTRIBUTOR | null | # What does this PR do?
Fixes https://github.com/huggingface/transformers/issues/20024
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https://api.github.com/repos/huggingface/transformers/issues/20029 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20029/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20029/comments | https://api.github.com/repos/huggingface/transformers/issues/20029/events | https://github.com/huggingface/transformers/issues/20029 | 1,433,792,486 | I_kwDOCUB6oc5Vde_m | 20,029 | Transformers scheduler doesn't alter LR of added param group after model unfreeze | {
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"The Trainer by itself does not support several parameter groups, you will need to subclass and overwrite the methods that create schedulers/optimizers.",
"Thank you! Closing for now, but I'll reopen if there is any further issue. "
] | 1,667 | 1,667 | 1,667 | NONE | null | ### System Info
python 3.8.10 on ubuntu 20.04
pytorch 1.12.1
transformers 4.20.1
### Who can help?
@sgugger
### Information
- [ ] The official example scripts
- [X] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [X] My own task or data... | {
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https://api.github.com/repos/huggingface/transformers/issues/20028 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20028/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20028/comments | https://api.github.com/repos/huggingface/transformers/issues/20028/events | https://github.com/huggingface/transformers/pull/20028 | 1,433,667,554 | PR_kwDOCUB6oc5CFbxd | 20,028 | Update esmfold conversion script | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,667 | 1,667 | 1,667 | MEMBER | null | This update fixes the ESM checkpoint conversion script to work for ESMFold and fixes a bug in the example for the `EsmForProteinFolding` class. | {
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https://api.github.com/repos/huggingface/transformers/issues/20027 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20027/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20027/comments | https://api.github.com/repos/huggingface/transformers/issues/20027/events | https://github.com/huggingface/transformers/pull/20027 | 1,433,624,816 | PR_kwDOCUB6oc5CFSbl | 20,027 | Document BLOOM lm_logits original training behavior | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_20027). All of your documentation changes will be reflected on that endpoint.",
"cc @thomasw21 and @younesbelkada but I don't think this is necessary as bfloat16 is more numerically stable than float16?",
"we noticed cons... | 1,667 | 1,671 | 1,671 | CONTRIBUTOR | null | # What does this PR do?
~Compute softmax of Bloom in fp32 during half percision~
Document BLOOM lm_logits original training behavior
## 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... | {
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https://api.github.com/repos/huggingface/transformers/issues/20026 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20026/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20026/comments | https://api.github.com/repos/huggingface/transformers/issues/20026/events | https://github.com/huggingface/transformers/pull/20026 | 1,433,610,429 | PR_kwDOCUB6oc5CFPQP | 20,026 | Show installed libraries and their versions in CI jobs | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,667 | 1,667 | 1,667 | COLLABORATOR | null | # What does this PR do?
Whenever there is a need to check
- if the versions of install libraries change
- and/or find out which ones change
it is not super easy to get this information.
This PR adds `pip freeze | tee installed.txt` to
- show the results
- save to a file
- and upload as an artifa... | {
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https://api.github.com/repos/huggingface/transformers/issues/20025 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20025/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20025/comments | https://api.github.com/repos/huggingface/transformers/issues/20025/events | https://github.com/huggingface/transformers/issues/20025 | 1,433,609,896 | I_kwDOCUB6oc5Vcyao | 20,025 | T5 should not use teacher-forcing when under evaluation | {
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"Please use the [forums](https://discuss.huggingface.co/) for discussions like this one as we keep issues for bugs and feature requests in the library.",
"Then perhaps the ability to turn off teacher-forcing could be listed as a feature for the model?\r\n\r\nI don’t see how using teacher forcing in an auto regres... | 1,667 | 1,670 | 1,670 | NONE | null | ### System Info
- `transformers` version: 4.23.1
- Platform: Linux-6.0.2-76060002-generic-x86_64-with-glibc2.35
- Python version: 3.10.6
- Huggingface_hub version: 0.10.1
- PyTorch version (GPU?): 1.13.0 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
-... | {
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https://api.github.com/repos/huggingface/transformers/issues/20024 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20024/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20024/comments | https://api.github.com/repos/huggingface/transformers/issues/20024/events | https://github.com/huggingface/transformers/issues/20024 | 1,433,559,955 | I_kwDOCUB6oc5VcmOT | 20,024 | `Pathlike` objects are treated as `AutoModel` objects in `pipeline` initialization | {
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"Excellent suggestion! \r\n\r\nI opened a PR https://github.com/huggingface/transformers/pull/20030"
] | 1,667 | 1,667 | 1,667 | NONE | null | ### System Info
- `transformers` version: 4.22.2
- Platform: macOS-13.0-arm64-arm-64bit
- Python version: 3.9.13
- Huggingface_hub version: 0.10.0
- PyTorch version (GPU?): 1.12.1 (False)
- Tensorflow version (GPU?): 2.10.0 (True)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not installed
... | {
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https://api.github.com/repos/huggingface/transformers/issues/20023 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20023/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20023/comments | https://api.github.com/repos/huggingface/transformers/issues/20023/events | https://github.com/huggingface/transformers/pull/20023 | 1,433,520,618 | PR_kwDOCUB6oc5CE71e | 20,023 | Fix doctest | {
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"Thanks for fixing!",
"Thanks @ydshieh! Sorry for breaking our streak of 6 days of no failures! ",
"Oh, I haven't request yet and you already approved! Thanks a lot, so impressive your speed of response!",
"![image](https://user-images.githubusercontent.com/35901082/199562025-6426b986-744e-4858-b7e4-3f5b3c341... | 1,667 | 1,667 | 1,667 | COLLABORATOR | null | # What does this PR do?
We just need `# doctest: +IGNORE_RESULT` after `>>> dataset = load_dataset` as usual
| {
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https://api.github.com/repos/huggingface/transformers/issues/20022 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20022/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20022/comments | https://api.github.com/repos/huggingface/transformers/issues/20022/events | https://github.com/huggingface/transformers/pull/20022 | 1,433,496,612 | PR_kwDOCUB6oc5CE2qd | 20,022 | [Audio Processor] Only pass sr to feat extractor | {
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"Currently, I've only applied the change to the Wav2Vec2 Processor - once we're happy with the change I'll copy it to all audio processor classes. I've only done it to this one first to make the review easier!",
"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,667 | 1,667 | 1,667 | CONTRIBUTOR | null | # What does this PR do?
The audio processor is composed of two components:
1. Feature extractor (input audio -> normalised audio)
2. Tokenizer (target text-> label ids)
Of these two components, the `audio` inputs and `sampling_rate` are arguments that are applicable to the feature extractor only. The `text` is ... | {
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https://api.github.com/repos/huggingface/transformers/issues/20021 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20021/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20021/comments | https://api.github.com/repos/huggingface/transformers/issues/20021/events | https://github.com/huggingface/transformers/pull/20021 | 1,433,303,438 | PR_kwDOCUB6oc5CEMpL | 20,021 | Update auto processor to check image processor created | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,667 | 1,667 | 1,667 | COLLABORATOR | null | # What does this PR do?
Fixes failing test which was checking if a feature extractor was loaded. This is now updated to reflect that an image processor is now loaded.
## 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 t... | {
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https://api.github.com/repos/huggingface/transformers/issues/20020 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20020/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20020/comments | https://api.github.com/repos/huggingface/transformers/issues/20020/events | https://github.com/huggingface/transformers/issues/20020 | 1,433,302,225 | I_kwDOCUB6oc5VbnTR | 20,020 | When using GPT2，CPU usage is high | {
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"Please use the [forums](https://discuss.huggingface.co/) for such questions as we keep the issues for bugs and feature requests only.",
"Try\r\n\r\n```python\r\ngpt2_pipe = pipeline('text-generation', model='XXX', tokenizer='gpt2', device=0) # or `cuda:0`\r\n```"
] | 1,667 | 1,667 | 1,667 | NONE | null | ### System Info
transformers: 4.23.1
### Who can help?
Models:
- GPT-2 @patil-suraj, @patrickvonplaten, @LysandreJik
Library
- Pipelines @Narsil
### Reproduction
Questions: When using GPT-2 as:
```python
from transformers import pipeline
gpt2_pipe = pipeline('text-generation', model='XXX', token... | {
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https://api.github.com/repos/huggingface/transformers/issues/20019 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20019/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20019/comments | https://api.github.com/repos/huggingface/transformers/issues/20019/events | https://github.com/huggingface/transformers/issues/20019 | 1,433,207,190 | I_kwDOCUB6oc5VbQGW | 20,019 | ConnectionError when downloading weights | {
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"Looks like it's a connection issue on your end. There is no special credentials needed to load the model :-)",
"> Looks like it's a connection issue on your end. There is no special credentials needed to load the model :-)\r\n\r\n@sgugger thanks for the fast answer. if I write like this:\r\n\r\n`model = EsmForPr... | 1,667 | 1,673 | 1,670 | NONE | null | ### System Info
transformers.__version__: 4.24.0
python: 3.7.13
OS: Ubuntu 22.04.1 LTS
conda 4.12.0
### Who can help?
@LysandreJik
### Information
- [X] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
-... | {
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https://api.github.com/repos/huggingface/transformers/issues/20018 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20018/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20018/comments | https://api.github.com/repos/huggingface/transformers/issues/20018/events | https://github.com/huggingface/transformers/issues/20018 | 1,433,177,766 | I_kwDOCUB6oc5VbI6m | 20,018 | Does `prune_heads` really speed up during inference? | {
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"Please use the [forums](https://discuss.huggingface.co/) for such questions as we keep issues for bugs and feature requests only. I am not aware of any place in the doc where we advertise head-pruning as a mean to speed up inference. I think you will need to look at converting your model to ONNX or quantize it for... | 1,667 | 1,670 | 1,670 | NONE | null | ### System Info
- `transformers` version: 4.22.1
- Platform: Linux-5.13.0-48-generic-x86_64-with-debian-bullseye-sid
- Python version: 3.7.13
- Huggingface_hub version: 0.9.1
- PyTorch version (GPU?): 1.12.1+cu102 (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/20017 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20017/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20017/comments | https://api.github.com/repos/huggingface/transformers/issues/20017/events | https://github.com/huggingface/transformers/pull/20017 | 1,432,950,362 | PR_kwDOCUB6oc5CDAKp | 20,017 | fix gradient checkpoint tests in encoder-decoder | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,667 | 1,667 | 1,667 | COLLABORATOR | null | # What does this PR do?
Fix the test `test_training_gradient_checkpointing` in `test_modeling_encoder_decoder.py`.
The current error is
```python
RuntimeError: Expected all tensors to be on the same device, but found at least two device
``` | {
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https://api.github.com/repos/huggingface/transformers/issues/20016 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20016/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20016/comments | https://api.github.com/repos/huggingface/transformers/issues/20016/events | https://github.com/huggingface/transformers/pull/20016 | 1,432,811,865 | PR_kwDOCUB6oc5CChuD | 20,016 | Add model parallelism to CodeGen | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_20016). All of your documentation changes will be reflected on that endpoint.",
"ok, I did not know that. Thanks for the info!\r\n\r\nDoes `device_map=\"auto\"` also work for CodeGen?",
"Yes, it's supported (at least on t... | 1,667 | 1,682 | 1,670 | NONE | null | This PR adds model parallelisim to the CodeGen model. I have been using this since August. | {
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https://api.github.com/repos/huggingface/transformers/issues/20014 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20014/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20014/comments | https://api.github.com/repos/huggingface/transformers/issues/20014/events | https://github.com/huggingface/transformers/pull/20014 | 1,432,732,063 | PR_kwDOCUB6oc5CCQmd | 20,014 | chore: remove inference code, add pt framework. | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Sorry, I missed that PR. I thought this was outside the scope of task guides. Sounds good to not go ahead with this change. Let's still add the pt framework block",
"Agreed. "
] | 1,667 | 1,667 | 1,667 | MEMBER | null | To keep it consistent with the other docs ([image classification](https://huggingface.co/docs/transformers/tasks/image_classification), [audio classification](https://huggingface.co/docs/transformers/tasks/audio_classification), etc.), this PR:
* removes inference code
* adds separation for PT as a framework
i... | {
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https://api.github.com/repos/huggingface/transformers/issues/20013 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20013/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20013/comments | https://api.github.com/repos/huggingface/transformers/issues/20013/events | https://github.com/huggingface/transformers/pull/20013 | 1,432,606,445 | PR_kwDOCUB6oc5CB1yM | 20,013 | Add RocBert | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@sgugger Thanks for your suggestion, I already fixed it ~",
"@ArthurZucker hi, I already fixed the code according to sgugger's advice., could you please review it, thanks!",
"Yes! Doing this asap 🤗 sorry for the delay ",
"Last... | 1,667 | 1,667 | 1,667 | CONTRIBUTOR | null | This PR adds the [RocBert model](https://aclanthology.org/2022.acl-long.65.pdf).
RocBert is a pre-trained Chinese language model that is designed from the ground up to be robust against maliciously crafted adversarial texts such as misspellings, homograph attacks, and other forms of deception.
![image](https://us... | {
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https://api.github.com/repos/huggingface/transformers/issues/20015 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20015/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20015/comments | https://api.github.com/repos/huggingface/transformers/issues/20015/events | https://github.com/huggingface/transformers/issues/20015 | 1,432,802,109 | I_kwDOCUB6oc5VZtM9 | 20,015 | Request for Examples on Correct Use the CLIPText Model (transformers.CLIPTextModel) | {
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"I'm transferring this to transformers repo as this is more related to the docs there\r\n\r\ncc @stevhliu ",
"Hi,\r\n\r\nThe docs is actually correct, CLIPTextModel can be used to encode text into a vector representation (embedding).\r\n\r\n```\r\nfrom transformers import CLIPTokenizer, CLIPTextModel\r\n\r\nmodel... | 1,667 | 1,667 | 1,667 | NONE | null | From the documentation on the [Hugging Face Hub](https://huggingface.co/docs/transformers/model_doc/clip#transformers.CLIPTextModel), it is not clear:
1. How the CLIPTextModel can be used.
2. If it can be used to conduct Zero Shot Classification of textual inputs using a predefined list of tokens as classes. To be... | {
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https://api.github.com/repos/huggingface/transformers/issues/20012 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20012/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20012/comments | https://api.github.com/repos/huggingface/transformers/issues/20012/events | https://github.com/huggingface/transformers/pull/20012 | 1,432,333,022 | PR_kwDOCUB6oc5CA8E4 | 20,012 | Make sentencepiece import conditional in BertJapaneseTokenizer | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,667 | 1,667 | 1,667 | CONTRIBUTOR | null | # What does this PR do?
<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
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https://api.github.com/repos/huggingface/transformers/issues/20011 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20011/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20011/comments | https://api.github.com/repos/huggingface/transformers/issues/20011/events | https://github.com/huggingface/transformers/issues/20011 | 1,432,187,732 | I_kwDOCUB6oc5VXXNU | 20,011 | sentencepiece\sentencepiece\src\sentencepiece_processor.cc(1102) [model_proto->ParseFromArray(serialized.data(), serialized.size())] | {
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"It looks like you are using the tokenizer with a broken sentencepiece vocab. In any case, we would need a reproducer with a file we have access to to be able to investigate.",
"Ran into the same issue. How did you solve it?",
"> Ran into the same issue. How did you solve it?\r\n\r\nThe whole problem was the vo... | 1,667 | 1,691 | 1,667 | NONE | null | ### System Info
- `transformers` version: 4.24.0
- Platform: Windows-10-10.0.19041-SP0
- Python version: 3.9.2
- Huggingface_hub version: 0.10.1
- PyTorch version (GPU?): 1.13.0+cpu (False)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not ins... | {
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https://api.github.com/repos/huggingface/transformers/issues/20010 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20010/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20010/comments | https://api.github.com/repos/huggingface/transformers/issues/20010/events | https://github.com/huggingface/transformers/pull/20010 | 1,432,158,701 | PR_kwDOCUB6oc5CAWsw | 20,010 | Reorganize glossary | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,667 | 1,667 | 1,667 | MEMBER | null | This PR reorganizes the glossary to be alphabetical, and words under the General Terms can be linked to. | {
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https://api.github.com/repos/huggingface/transformers/issues/20009 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20009/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20009/comments | https://api.github.com/repos/huggingface/transformers/issues/20009/events | https://github.com/huggingface/transformers/pull/20009 | 1,431,992,936 | PR_kwDOCUB6oc5B_yuh | 20,009 | Make convert_to_onnx runable as script again | {
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"It seems there is an issue with your CircleCI permissions, the tests won't run.\r\nCould you try refreshing your permissions as shown [here](https://support.circleci.com/hc/en-us/articles/360048210711-How-to-Refresh-User-Permissions-)?",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/... | 1,667 | 1,670 | 1,670 | CONTRIBUTOR | null | Fix `convert_graph_to_onnx.py` script crash by replacing relative import.
# What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/20008 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20008/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20008/comments | https://api.github.com/repos/huggingface/transformers/issues/20008/events | https://github.com/huggingface/transformers/issues/20008 | 1,431,991,901 | I_kwDOCUB6oc5VWnZd | 20,008 | How can I access prompt scores/logprobs? | {
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"Hey @xiaoyangnickhu 👋 We do have a tool for that, but which is not yet documented: \r\n👉 [compute_transition_beam_scores](https://github.com/huggingface/transformers/blob/e0b825a8d03f50ed9dbf9fbbbb3b4fcf0b4e4b22/src/transformers/generation_utils.py#L876)\r\n\r\nTheir arguments should be self explanatory, but let... | 1,667 | 1,679 | 1,667 | NONE | null | I have tried `model.generate(**inputs, return_dict_in_generate=True, output_scores=True)` but it only gives the scores for generated tokens. For my application, it would be convenient if there’s a similar parameter to `echo` in the OpenAI GPT-3 API that lets us access prompt scores/logprobs, but I have yet to find it. ... | {
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https://api.github.com/repos/huggingface/transformers/issues/20007 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20007/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20007/comments | https://api.github.com/repos/huggingface/transformers/issues/20007/events | https://github.com/huggingface/transformers/issues/20007 | 1,431,978,022 | I_kwDOCUB6oc5VWkAm | 20,007 | RuntimeError: Failed to import transformers.models.flaubert.modeling_flaubert because of the following error (look up to see its traceback): module 'signal' has no attribute 'SIGKILL' | {
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"This is a PyTorch issue affecting Windows which went cf. https://github.com/pytorch/pytorch/issues/85427",
"actually reopening as bug on Windows PyTorch side makes Transformers crash",
"I'm not sure what you intend us to do to fix this, since it comes from PyTorch?",
"for pip would propose to add to requirem... | 1,667 | 1,667 | 1,667 | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.24.0
- Platform: Windows-10-10.0.19044-SP0
- Python version: 3.9.13
- Huggingface_hub version: 0.10.1
- PyTorch version (GPU?): 1.13.0 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not install... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,667 | 1,667 | 1,667 | MEMBER | null | This PR adds a dataset in the `Trainer` section of the Quicktour so users can successfully run the code samples (from forum feedback [here](https://discuss.huggingface.co/t/trainer-a-pytorch-optimized-training-loop-example-code/25163)). | {
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https://api.github.com/repos/huggingface/transformers/issues/20004 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20004/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20004/comments | https://api.github.com/repos/huggingface/transformers/issues/20004/events | https://github.com/huggingface/transformers/pull/20004 | 1,431,674,281 | PR_kwDOCUB6oc5B-s_1 | 20,004 | Update object detection pipeline to use post_process_object_detection methods | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,667 | 1,667 | 1,667 | CONTRIBUTOR | null | # What does this PR do?
Updates the `ObjectDetectionPipeline` to use the `XXXFeatureExtractor.post_process_object_detection` methods instead of the deprecated `XXXFeatureExtractor.post_process` methods.
Postprocessing methods have been updated recently with this [PR](https://github.com/huggingface/transformers/pull... | {
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https://api.github.com/repos/huggingface/transformers/issues/20003 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20003/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20003/comments | https://api.github.com/repos/huggingface/transformers/issues/20003/events | https://github.com/huggingface/transformers/pull/20003 | 1,431,666,932 | PR_kwDOCUB6oc5B-ra1 | 20,003 | Add object detection + segmentation transforms | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_20003). All of your documentation changes will be reflected on that endpoint.",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_20003). All of your documentation changes will be re... | 1,667 | 1,668 | 1,668 | COLLABORATOR | null | # What does this PR do?
Adds logic for processing bounding boxes and some additional transforms (`rgb_to_id`, `id_to_rgb`) needed for DETR.
## 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](... | {
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https://api.github.com/repos/huggingface/transformers/issues/20002 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20002/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20002/comments | https://api.github.com/repos/huggingface/transformers/issues/20002/events | https://github.com/huggingface/transformers/pull/20002 | 1,431,544,906 | PR_kwDOCUB6oc5B-Q-Y | 20,002 | Fix the test for corrupted checkpoints in from_pretrained | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,667 | 1,667 | 1,667 | COLLABORATOR | null | # What does this PR do?
As pointed out in #19974, there is a bug in `from_pretrained` when the model with head contains the same key as the base model, the checkpoint is then detected as corrupted. This PR fixes it and introduces a test to make sure there is no regression.
Fixes #19974
cc @NielsRogge | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,667 | 1,667 | 1,667 | CONTRIBUTOR | null | # What does this PR do?
<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
Then, please replace this w... | {
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https://api.github.com/repos/huggingface/transformers/issues/20000 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/20000/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/20000/comments | https://api.github.com/repos/huggingface/transformers/issues/20000/events | https://github.com/huggingface/transformers/pull/20000 | 1,431,336,536 | PR_kwDOCUB6oc5B9kJ_ | 20,000 | Add ESMFold code sample | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"FYI, would be great to add ESM to the doc tests, to make sure this is tested.\r\n"
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https://api.github.com/repos/huggingface/transformers/issues/19999 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/19999/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/19999/comments | https://api.github.com/repos/huggingface/transformers/issues/19999/events | https://github.com/huggingface/transformers/issues/19999 | 1,431,278,433 | I_kwDOCUB6oc5VT5Nh | 19,999 | Some weights of BertForPreTraining were not initialized from the model checkpoint | {
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"Please use the [forums](https://discuss.huggingface.co/) to ask questions or fill the template to report a bug. Getting a warning because the checkpoint you selected does not contain all weights for your architecture is not, by itself, a bug.",
"Yes, `bert-base-uncased` only includes the weights and bias of the ... | 1,667 | 1,667 | 1,667 | NONE | null | ### System Info
Some weights of BertForPreTraining were not initialized from the model checkpoint at bert-base-uncased and are newly initialized: ['cls.predictions.decoder.bias']
### Who can help?
_No response_
### Information
- [X] The official example scripts
- [ ] My own modified scripts
### Tasks
- [X] An of... | {
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"I am very wary about this. If you start telling on the page of a model that have been developed by Org 1 that there is a better model developed by Org 2, they will get mad and we will then have unnecessary conflicts to handle.\r\n\r\nFor the same reason we stay away from benchmarks between frameworks/hardware, I w... | 1,667 | 1,667 | 1,667 | MEMBER | null | @NielsRogge provided a great suggestion.
We could add a banner on top of Swin's docs (and other models where this is applicable), to indicate we have a better model now, SwinV2. The same could be done for DETR, as Conditional DETR and Deformable DETR greatly improve the convergence and AP metrics.
We can start wi... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_19997). All of your documentation changes will be reflected on that endpoint.",
"cc @sanchit-gandhi ",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still nee... | 1,667 | 1,672 | 1,672 | CONTRIBUTOR | null | # What does this PR do?
This PR was requested by @patrickvonplaten following my question and following discussion in the Discord ask-for-help channel under the title [Wav2vec2 - why is mask_time_prob=0.05?](https://discord.com/channels/879548962464493619/1035113782223056896)
This PR adds the arguments `mask_time_pr... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,667 | 1,667 | 1,667 | MEMBER | null | Small fix.
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,667 | 1,667 | 1,667 | CONTRIBUTOR | null | # What does this PR do?
Adds configuration_deberta_v2.py to utils/documentation_tests.txt
Based on https://github.com/huggingface/transformers/issues/19487
@ydshieh can you please have a look? thanks :D
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The doc building seg-faults since we pinned PyTorch. Using this PR to experiment. | {
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"I cannot review this PR as it is. You have changed the text for the existing entries and removed the links to the YouTube videos and since you did it with the reorganization, the diff makes it impossible to properly comment.\r\nYou have also removed existing entries like autoencoder model or autoregressive model.\... | 1,667 | 1,667 | 1,667 | MEMBER | null | This PR adds some more computer vision and speech terms (feel free to suggest more!) and reorganizes it alphabetically (and each term can be linked to) so it's more like an actual glossary. I also edited some of the terms, like `attention mask` for length, since a glossary typically just provides a brief definition. If... | {
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"cc @Rocketknight1 ",
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"... | 1,667 | 1,703 | null | CONTRIBUTOR | null | ### Feature request
As what we have with `TFBertTokenizer`, but with models that use Byte Pair Encoding (e.g. `TFT5Tokenizer`, `TFClipTokenizer`) etc...
They were implemented in `keras-nlp` (https://github.com/keras-team/keras-nlp/pull/389) and we can now bring them here.
### Motivation
With that feature we will... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_19991). All of your documentation changes will be reflected on that endpoint.",
"Mmm, now it looks like the tests are not running for some reason. Could you try refreshing your permissions as shown [here](https://support.ci... | 1,667 | 1,670 | 1,670 | CONTRIBUTOR | null | # What does this PR do?
Makes generations faster by caching sincos matrices for rotary for the max sequence length at model initialisation so it won't be done every other forward.
around ~%15 percent speedup overall
Tested on A100-SXM4-80GB
Benchmarks:
1 token forward average runtime out of 100 iterations with... | {
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This PR adds gradient checkpointing support for EncoderDecoderModel in PyTorch.
As requested on the forum: https://discuss.huggingface.co/t/feature-request-gradient-checkpointing-for-encoderdecodermodel/25278 | {
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"Failed test is irrelevant. Merge now.",
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] | 1,667 | 1,667 | 1,667 | COLLABORATOR | null | # What does this PR do?
Pin torch to < 1.13 temporarily, as it causes strange failures (segmentation fault) on CircleCI.
Evidence could be found
with torch 1.12.1
https://app.circleci.com/pipelines/github/huggingface/transformers/50619/workflows/5b665ba2-5f45-4b61-9e08-de6c8a2349cd
with torch 1.13.0
http... | {
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debug circleci | {
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The task 'automatic-speech-recognition' was added to the model card creator in #19985. This PR updates all the ASR examples scripts accordingly.
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [ ] Did you read ... | {
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Updates the modelcard to include ASR in the task mapping and task-tag-to-name mapping, and the WER in the metric tags.
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [ ] Did you read the [contributor guideline... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@sgugger Just FYI\r\n\r\nI updated this PR for `CANINE` https://github.com/huggingface/transformers/pull/19984/commits/bc83147623cb6441fed78d5ca9c46b114791706b and `ESMFold` https://github.com/huggingface/transformers/pull/19984/comm... | 1,667 | 1,667 | 1,667 | COLLABORATOR | null | # What does this PR do?
Some model testers have `__init__` like
```python
def __init__(
self,
parent,
)
```
and others accept many more arguments to customize them.
- This PR makes them accept arguments, so we have uniform style.
- This is also necessary to make `tiny model creatio... | {
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