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https://api.github.com/repos/huggingface/transformers/issues/28660 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28660/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28660/comments | https://api.github.com/repos/huggingface/transformers/issues/28660/events | https://github.com/huggingface/transformers/pull/28660 | 2,095,691,451 | PR_kwDOCUB6oc5k0Nln | 28,660 | `tensor_size` - fix copy/paste error msg typo | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_28660). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | 1,706 | 1,706 | 1,706 | CONTRIBUTOR | null | ## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [ ] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md#start-contributing-pull-requests),
Pull Request section?
- [ ] Was th... | {
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"Hello! Thanks for raising this issue! This is using a custom code, I would recommend you to open this issue on the repo's discussion tab! 🤗 \r\nThere were a few changes, but I think the tokenizer's remote code is the issue here. With LlamaTokenizer there is no such issue! (The token is normalized) "
] | 1,706 | 1,706 | null | NONE | null | ### System Info
- `transformers` version: 4.36.0
- Platform: Linux-5.4.143.bsk.7-amd64-x86_64-with-glibc2.31
- Python version: 3.9.2
- Huggingface_hub version: 0.20.2
- Safetensors version: 0.4.1
- Accelerate version: 0.25.0
- Accelerate config: not found
- PyTorch version (GPU?): 2.1.0+cu122 (True)
- Ten... | {
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"This is because of new transformer version",
"Hi @lucasjinreal, thanks for raising an issue! \r\n\r\nWithout knowing how or where the error is triggered, or the full error message there's not much we can do. So that we can be best help you, please make sure to follow the [issue template](https://github.com/huggi... | 1,705 | 1,706 | null | NONE | null | OSError: ../../../../models/Yi-VL-34B/ does not appear to have a file named preprocessor_config.json. Checkout 'https://huggingface.co/../../../../models/Yi-VL-34B//main' for available files. | {
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https://api.github.com/repos/huggingface/transformers/issues/28657 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28657/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28657/comments | https://api.github.com/repos/huggingface/transformers/issues/28657/events | https://github.com/huggingface/transformers/pull/28657 | 2,095,315,464 | PR_kwDOCUB6oc5ky8YW | 28,657 | Add token_type_ids to Esm tokenizer | {
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"cc @Rocketknight1 ",
"Hi @lhallee - I appreciate the work but I'm not sure we can accept this! ESM was not trained with `token_type_ids` and will not accept them by default, so even if we get the tokenizer to return them then the ESM model code will also have to be altered. In general at Hugging Face we aim to r... | 1,705 | 1,706 | null | NONE | null | # What does this PR do?
Enables EsmTokenizer to correctly return token_type_ids. Before, ignored special tokens. create_token_type_ids_from_sequences was adapted from BertTokenizer with eos instead of sep per Esm special tokens.
This
```
tokenizer = EsmTokenizer.from_pretrained('facebook/esm2_t6_8M_UR50D')
seq =... | {
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"Suggested changes that fix this in Pull request [#28657](https://github.com/huggingface/transformers/pull/28657)",
"cc @Rocketknight1 "
] | 1,705 | 1,706 | null | NONE | null | ### System Info
transformers 4.37
python 3.10.11
### Who can help?
@ArthurZucker
### 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)
###... | {
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"OK, I won't notify you again about this release, but will get in touch when a new version is available. If you'd rather skip all updates until the next major or minor version, let me know by commenting `@dependabot ignore this major version` or `@dependabot ignore this minor version`.\n\nIf you change your mind, j... | 1,705 | 1,706 | 1,706 | CONTRIBUTOR | null | Bumps [pillow](https://github.com/python-pillow/Pillow) from 10.0.1 to 10.2.0.
<details>
<summary>Release notes</summary>
<p><em>Sourced from <a href="https://github.com/python-pillow/Pillow/releases">pillow's releases</a>.</em></p>
<blockquote>
<h2>10.2.0</h2>
<p><a href="https://pillow.readthedocs.io/en/stable/releas... | {
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"The tests_pr_documentation_tests is failing due to the checkpoint not yet being available on the TikTok organization.",
"@amyeroberts thanks for your review, addressed all comments. CI is failing due to unrelated tests"
] | 1,705 | 1,706 | 1,706 | CONTRIBUTOR | null | # What does this PR do?
This PR adds an alternative design to #28643, which adds a standalone separate model.
Pros:
- [x] does not clutter the existing modeling_dpt.py
- [x] is more in line with the [philosophy](https://huggingface.co/blog/transformers-design-philosophy)
Cons:
- [x] actually, not a lot ... | {
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Fixes issues with `HF_DVCLIVE_LOG_MODEL` environment variable not always being respected.
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](https://github.com/huggingf... | {
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"@dmus Very exciting! Let us know when the PR is ready for review. \r\n\r\ncc @ArthurZucker as I believe there's an on-going mamba implementation that we might want to coordinate with here ",
"I don't have bandwidth yet so nice if you want to do ti! ",
"I have a question about this test in test_modeling_common.... | 1,705 | 1,706 | null | NONE | 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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"Hi @c3ianwu \r\nThis is interesting, I am not 100% sure what is wrong here but I can give you some insights. \r\nWhen designing the tests for quantization, as we were running multiple tests with `generate` I used to get OOM on our CI machines that had ~16GB GPU RAM. It seems the fix was simply to empty the CUDA ca... | 1,705 | 1,707 | null | NONE | null | ### System Info
- `transformers` version: 4.36.2
- Platform: Linux-5.15.107+-x86_64-with-glibc2.31
- Python version: 3.10.13
- Huggingface_hub version: 0.20.1
- Safetensors version: 0.4.1
- Accelerate version: 0.22.0
- Accelerate config: not found
- PyTorch version (GPU?): 2.1.2+cu118 (True)
- Tensorflow ... | {
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<!--
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Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
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https://api.github.com/repos/huggingface/transformers/issues/28649 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28649/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28649/comments | https://api.github.com/repos/huggingface/transformers/issues/28649/events | https://github.com/huggingface/transformers/issues/28649 | 2,094,580,013 | I_kwDOCUB6oc582MEt | 28,649 | 4.37 ImportError: cannot import name 'SampleOutput' from 'transformers.generation.utils' | {
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"cc @gante \r\n",
"Just encountered this error and found this thread by google searching it",
"Confirm this happens on 4.37.0",
"Me too, literally just happened. I'll try downgrading first.",
"Encountered this error as well. Downgrading Transformers to 4.36.2 fixes it.",
"This worked for me:\r\nUpdate you... | 1,705 | 1,706 | 1,706 | NONE | null | ### System Info
I am a developer of AllTalk https://github.com/erew123/alltalk_tts/ which uses the Coqui TTS engine https://github.com/coqui-ai/TTS
As of the 4.37 update, I have users reporting this error:
```
Traceback (most recent call last):
File "/home/ai/alltalk_tts/tts_server.py", line 7, in
from TTS.tts.... | {
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https://api.github.com/repos/huggingface/transformers/issues/28648 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28648/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28648/comments | https://api.github.com/repos/huggingface/transformers/issues/28648/events | https://github.com/huggingface/transformers/pull/28648 | 2,094,285,376 | PR_kwDOCUB6oc5kvcR4 | 28,648 | [`TokenizationUtils`] add support for `split_special_tokens` | {
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Adds support for `split_special_tokens` for fast models as well
- [ ] deprecate `split_special_tokens` for `encode_special_tokens` for API consistency
- [ ] make sure this is saved and used not only as kwargs but also the attribute
- [ ] add some tests
- [ ] add some docs | {
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https://api.github.com/repos/huggingface/transformers/issues/28647 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28647/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28647/comments | https://api.github.com/repos/huggingface/transformers/issues/28647/events | https://github.com/huggingface/transformers/issues/28647 | 2,094,271,576 | I_kwDOCUB6oc581AxY | 28,647 | Why tokens / second is more on Float32 than Float16 | {
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"cc @SunMarc , not 100% sure here but maybe this is expected with a potential silent fp32 -> fp16 downcasting overhead",
"@Anindyadeep - thanks for raising this issue! Could you also share the standard deviation between the runs? ",
"We only perform downcasting when there is no dtype specified. GPTQ model can i... | 1,705 | 1,706 | null | CONTRIBUTOR | null | ### System Info
```
- `transformers` version: 4.34.1
- Platform: Linux-5.4.0-169-generic-x86_64-with-glibc2.31
- Python version: 3.9.16
- Huggingface_hub version: 0.17.3
- Safetensors version: 0.4.1
- Accelerate version: 0.26.1
- Accelerate config: not found
- PyTorch version (GPU?): 2.0.0+cu117 (True)
-... | {
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https://api.github.com/repos/huggingface/transformers/issues/28646 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28646/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28646/comments | https://api.github.com/repos/huggingface/transformers/issues/28646/events | https://github.com/huggingface/transformers/pull/28646 | 2,094,253,001 | PR_kwDOCUB6oc5kvVOB | 28,646 | improve efficient training on CPU documentation | {
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"Hi @amyeroberts @stevhliu, could you help review this PR? Thx!",
"@yao-matrix",
"@stevhliu thanks so much for the corrections! It looks much better now and I only made one more change as @yao-matrix suggested in the comment. Pls help us to merge this PR. Many thanks! "
] | 1,705 | 1,706 | 1,706 | CONTRIBUTOR | null | ## What does this PR do?
This PR improves the CPU efficient training documentation to make it more clear, accurate and up-to-date. Concrete improvements are
- add full names of the CPU instruction sets (e.g. Intel® Advanced Vector Extensions 512 instead of AVX-512)
- add one sentence to explain "mixed precision"
-... | {
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Fixes https://github.com/huggingface/transformers/issues/28613
Indeed, probably due to copy-pasta the target_dtype was trying to get inferred from the wrong attribute
cc @amyeroberts
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https://api.github.com/repos/huggingface/transformers/issues/28643 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28643/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28643/comments | https://api.github.com/repos/huggingface/transformers/issues/28643/events | https://github.com/huggingface/transformers/pull/28643 | 2,093,924,305 | PR_kwDOCUB6oc5kuNzt | 28,643 | Convert Depth Anything | {
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"Have opened a PR that may be more in line with the philosophy. Let me know which one you prefer :)",
"Closing in favor of #28654 "
] | 1,705 | 1,706 | 1,706 | CONTRIBUTOR | null | # What does this PR do?
[Depth Anything](https://twitter.com/_akhaliq/status/1749284669936275463) came out, and it is compatible with our implementation of DPT. It leverages DINOv2 as backbone.
It does use a small a tweak in the decoder, where it sets `size` instead of `scale_factor` when interpolating.
Demo n... | {
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"Thank you @severinsimmler, `transformers.convert_graph_to_onnx` is deprecated (https://github.com/huggingface/transformers/blob/dafd59512cf6376ee2f056e38935d83df77a213c/src/transformers/convert_graph_to_onnx.py#L362), I would recommend you to use optimum utilities.",
"@fxmarty Yes, makes sense to migrate to `opt... | 1,705 | 1,706 | 1,706 | CONTRIBUTOR | null | # What does this PR do?
It's currently not to possible to quantize an ONNX model with `transformers.convert_graph_to_onnx`.
Running the following snippet on `main`:
```python
from pathlib import Path
from transformers import pipeline
from transformers.convert_graph_to_onnx import convert_pytorch, quantize... | {
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"cc @JustinLin610 the author of the pull request! Are the weights not publicly available yet? 🤗 "
] | 1,705 | 1,706 | null | CONTRIBUTOR | null | ### System Info
https://huggingface.co/Qwen2/Qwen2-7B-Chat-beta gives a 404, despite the tutorial in https://huggingface.co/docs/transformers/main/model_doc/qwen2 quoting it.
https://huggingface.co/Qwen only has Qwen-1 models.
@ArthurZucker @younesbelkada @stevhliu
By the way, the docs is inconsistent in the m... | {
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https://api.github.com/repos/huggingface/transformers/issues/28640 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28640/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28640/comments | https://api.github.com/repos/huggingface/transformers/issues/28640/events | https://github.com/huggingface/transformers/pull/28640 | 2,093,854,665 | PR_kwDOCUB6oc5kt-ed | 28,640 | Add missing key to TFLayoutLM signature | {
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<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
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https://api.github.com/repos/huggingface/transformers/issues/28638 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28638/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28638/comments | https://api.github.com/repos/huggingface/transformers/issues/28638/events | https://github.com/huggingface/transformers/pull/28638 | 2,093,791,766 | PR_kwDOCUB6oc5ktwiL | 28,638 | Avoid root logger's level being changed | {
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A complement to #28575 -> root cause is found and fixed | {
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https://api.github.com/repos/huggingface/transformers/issues/28637 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28637/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28637/comments | https://api.github.com/repos/huggingface/transformers/issues/28637/events | https://github.com/huggingface/transformers/pull/28637 | 2,093,712,354 | PR_kwDOCUB6oc5ktfCr | 28,637 | Fix windows err with checkpoint race conditions | {
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"@amyeroberts I'm not a windows expert but after looking the only alternative would to be to use the atomic `os.replace()` since it's atomic *except* it doesn't work on folders, so there's not really a good solution here for this. \r\n\r\nI don't think we have too many multi-node windows users (as this seems fairly... | 1,705 | 1,706 | 1,706 | CONTRIBUTOR | null | # What does this PR do?
Windows doesn't like python trying to open files, so makes the additional race condition check to be non-windows based
Fixes # (issue)
https://github.com/huggingface/transformers/pull/28364
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the o... | {
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"cc @NielsRogge "
] | 1,705 | 1,705 | 1,705 | COLLABORATOR | null | # What does this PR do?
Protects the import of siglip's tokenizer such that users can safely run `from transformers import *` if they don't have sentencepiece installed.
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https://api.github.com/repos/huggingface/transformers/issues/28635 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28635/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28635/comments | https://api.github.com/repos/huggingface/transformers/issues/28635/events | https://github.com/huggingface/transformers/issues/28635 | 2,093,563,935 | I_kwDOCUB6oc58yUAf | 28,635 | Tokenizer `encode/decode` methods are inconsistent, TypeError: argument 'ids': 'list' object cannot be interpreted as an integer | {
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"https://github.com/huggingface/transformers/blob/83f9196cc44a612ef2bd5a0f721d08cb24885c1f/src/transformers/tokenization_utils_fast.py#L596-L605\r\n\r\nWhy only remove the leading batch axis while return tensor is `None`? I mean consider the annotation of `text` parameter of `_encode_plus` method, we won't need bat... | 1,705 | 1,707 | null | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.35.2
- Platform: Linux-6.5.0-14-generic-x86_64-with-glibc2.35
- Python version: 3.11.6
- Huggingface_hub version: 0.20.2
- Safetensors version: 0.4.1
- Accelerate version: not installed
- Accelerate config: not found
- PyTorch version (GPU?): 2.0.1+cu117 (True)
- Ten... | {
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https://api.github.com/repos/huggingface/transformers/issues/28634 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28634/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28634/comments | https://api.github.com/repos/huggingface/transformers/issues/28634/events | https://github.com/huggingface/transformers/pull/28634 | 2,093,449,358 | PR_kwDOCUB6oc5kslMZ | 28,634 | Exllama kernels support for AWQ models | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_28634). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"I guess all points are addressed.\r\n@casper-hansen when is 0.1.9 planned ?",
"@... | 1,705 | 1,706 | null | MEMBER | 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/28633 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28633/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28633/comments | https://api.github.com/repos/huggingface/transformers/issues/28633/events | https://github.com/huggingface/transformers/pull/28633 | 2,093,350,117 | PR_kwDOCUB6oc5ksPt9 | 28,633 | [`Vilt`] align input and model dtype in the ViltPatchEmbeddings forward pass | {
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"@yao-matrix",
"Pls have a review, thx!",
"Hi @ArthurZucker , could you take a look at this PR? Thx! ",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_28633). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days ... | 1,705 | 1,706 | 1,706 | CONTRIBUTOR | null | ## What does this PR do?
Just like the case in [BlipVisionEmbeddings](https://github.com/huggingface/transformers/blob/main/src/transformers/models/blip/modeling_blip.py#L249), there should also be a dtype alignment in the ViltPatchEmbeddings as well. Otherwise, I would get the `RuntimeError: Input type (float) and bi... | {
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https://api.github.com/repos/huggingface/transformers/issues/28632 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28632/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28632/comments | https://api.github.com/repos/huggingface/transformers/issues/28632/events | https://github.com/huggingface/transformers/issues/28632 | 2,093,162,870 | I_kwDOCUB6oc58wyF2 | 28,632 | Can't quantize gptq model on CPU runtime? | {
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"cc @SunMarc I think that the fix should go on optimum side but I am not sure, wdyt? ",
"Hi @gesanqiu, there is indeed an issue. In the meantime, you can do `AutoModelForCausalLM.from_pretrained(model_path, trust_remote_code=True, use_safetensors=True, quantization_config=gptq_config)`. I will fix the issue on op... | 1,705 | 1,707 | 1,707 | NONE | null | ### System Info
- `transformers` version: 4.36.2
- Platform: Linux-5.4.0-166-generic-x86_64-with-glibc2.31
- Python version: 3.10.0
- Huggingface_hub version: 0.20.2
- Safetensors version: 0.4.1
- Accelerate version: 0.26.1
- Accelerate config: not found
- PyTorch version (GPU?): 2.1.2+cu121 (True)
- Tens... | {
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https://api.github.com/repos/huggingface/transformers/issues/28631 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28631/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28631/comments | https://api.github.com/repos/huggingface/transformers/issues/28631/events | https://github.com/huggingface/transformers/pull/28631 | 2,093,098,420 | PR_kwDOCUB6oc5krZGk | 28,631 | rm input dtype change in CPU | {
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"Hi @amyeroberts . I have tested it on difference CPUs and didn't find any crashes. Could you please help me review it? Thx!",
"Hi @jiqing-feng, I think the correct solution here is to enable the necessary types in the ASR pipeline, rather than removing this cast.",
"> Hi @jiqing-feng, I think the correct solut... | 1,705 | 1,708 | null | CONTRIBUTOR | null | Hi @amyeroberts . Refer to [28199](https://github.com/huggingface/transformers/pull/28199). Since `Autocast` cannot integrate into the pipeline, I propose that keep the inputs dtype in the pipeline. Otherwise, it will block the low-precision usage in both ASR and text-to-audio.
BTW, we will be ready for review once... | {
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https://api.github.com/repos/huggingface/transformers/issues/28630 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28630/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28630/comments | https://api.github.com/repos/huggingface/transformers/issues/28630/events | https://github.com/huggingface/transformers/issues/28630 | 2,093,093,853 | I_kwDOCUB6oc58whPd | 28,630 | Disable removing shared tensors by default | {
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"Hi @imoneoi \r\nThanks for the issue! \r\nI don't think we can disable sharding by default as it might break many things such as the ability to load models on a free-tier google colab instance. Among many possible options, few fixes that I see for your case and to fix #27293 are:\r\n\r\n1- Warn users if they are u... | 1,705 | 1,706 | null | NONE | null | ### System Info
```
- `transformers` version: 4.36.2
- Platform: Linux-5.4.0-167-generic-x86_64-with-glibc2.31
- Python version: 3.11.5
- Huggingface_hub version: 0.20.1
- Safetensors version: 0.4.1
- Accelerate version: 0.25.0
- Accelerate config: not found
- PyTorch version (GPU?): 2.1.2+cu121 (True)
- T... | {
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https://api.github.com/repos/huggingface/transformers/issues/28629 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28629/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28629/comments | https://api.github.com/repos/huggingface/transformers/issues/28629/events | https://github.com/huggingface/transformers/issues/28629 | 2,093,006,116 | I_kwDOCUB6oc58wL0k | 28,629 | Fast tokenizer's time complexity is not linear | {
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"Feel free to check this issue (duplicate) #25873",
"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... | 1,705 | 1,706 | null | NONE | null | ### System Info
torch 2.1.2
transformers 4.36.2
### Who can help?
@ArthurZucker
I'm using the streaming dataloader to train on a large dataset. However, I find some process is usually stuck and finally lead to NCCL timeout After I carefully checked, I found the problem may come from the tokenizer.
Whe... | {
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https://api.github.com/repos/huggingface/transformers/issues/28628 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28628/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28628/comments | https://api.github.com/repos/huggingface/transformers/issues/28628/events | https://github.com/huggingface/transformers/pull/28628 | 2,092,857,414 | PR_kwDOCUB6oc5kqlf4 | 28,628 | Support single token decode for `CodeGenTokenizer` | {
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This PR should fix #28627 by first converting token_ids to a list in the the `decode` method of `CodeGenTokenizer` class. No new tests added but happy to write some if need be.
## Example
```python3
from transformers.models.auto.tokenization_auto import AutoTokenizer
phi_tokenizer =... | {
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https://api.github.com/repos/huggingface/transformers/issues/28627 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28627/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28627/comments | https://api.github.com/repos/huggingface/transformers/issues/28627/events | https://github.com/huggingface/transformers/issues/28627 | 2,092,841,862 | I_kwDOCUB6oc58vjuG | 28,627 | Support decoding single tokens with `CodeGenTokenizer` | {
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"thanks for the detailed issue! "
] | 1,705 | 1,706 | 1,706 | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.34.1
- Platform: macOS-14.2.1-arm64-arm-64bit
- Python version: 3.11.6
- Huggingface_hub version: 0.16.4
- Safetensors version: 0.4.0
- Accelerate version: 0.23.0
- Accelerate config: not found
- PyTorch version (GPU?): 2.1.0 (False)
- Tensorflow version (GPU?):... | {
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https://api.github.com/repos/huggingface/transformers/issues/28626 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28626/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28626/comments | https://api.github.com/repos/huggingface/transformers/issues/28626/events | https://github.com/huggingface/transformers/issues/28626 | 2,092,734,450 | I_kwDOCUB6oc58vJfy | 28,626 | No, you cannot set a `token` to an `id`. It is the same as `tokenzier.pad_token_id = 0` if `tokenizer.eos_token_id` is `0` | {
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"Hi @rafa852 - what is the issue being raised here?",
"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.c... | 1,705 | 1,705 | null | NONE | null | No, you cannot set a `token` to an `id`. It is the same as `tokenzier.pad_token_id = 0` if `tokenizer.eos_token_id` is `0`
_Originally posted by @ArthurZucker in https://github.com/huggingface/transformers/issues/26072#issuecomment-1859852130_
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https://api.github.com/repos/huggingface/transformers/issues/28625 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28625/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28625/comments | https://api.github.com/repos/huggingface/transformers/issues/28625/events | https://github.com/huggingface/transformers/issues/28625 | 2,092,731,446 | I_kwDOCUB6oc58vIw2 | 28,625 | ESM Rotary Embedding implementation is not TorchScript safe | {
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"cc @Rocketknight1 ",
"Hi @ChenchaoZhao, I think you're correct - would you be willing to open a PR to fix the issue?",
"Hi @Rocketknight1, sure. Anything else other than the contribution guide I should be aware before making the PR?https://github.com/huggingface/transformers/blob/03cc17775b961d16cc4d0d7ab0c848... | 1,705 | 1,706 | null | NONE | null | ### System Info
This issue is independent of the env. It’s purely about the PyTorch implementation of ESM position embedding
### Who can help?
_No response_
### Information
- [X] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in the `example... | {
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https://api.github.com/repos/huggingface/transformers/issues/28624 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28624/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28624/comments | https://api.github.com/repos/huggingface/transformers/issues/28624/events | https://github.com/huggingface/transformers/issues/28624 | 2,092,675,763 | I_kwDOCUB6oc58u7Kz | 28,624 | WhisperForAudioClassification throws errors while using use_weighted_layer_sum | {
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"Hi @chercheurkg, thanks for raising an issue!\r\n\r\nThis was fixed in #28563 and is part of the most recent release. Could you try installing v4.37 to verify this resolves your issue? \r\n\r\n`pip install -U transformers`",
"@amyeroberts ,\r\nThanks for your reply! After upgrading to v4.37, the issue seems to b... | 1,705 | 1,707 | 1,707 | NONE | null | ### System Info
- `transformers` version: 4.36.0.dev0
- Platform: Windows-10-10.0.19045-SP0
- Python version: 3.9.9
- Huggingface_hub version: 0.19.4
- Safetensors version: 0.4.0
- Accelerate version: 0.24.1
- Accelerate config: not found
- PyTorch version (GPU?): 2.1.1+cu118 (True)
- Tensorflow version (... | {
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https://api.github.com/repos/huggingface/transformers/issues/28623 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28623/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28623/comments | https://api.github.com/repos/huggingface/transformers/issues/28623/events | https://github.com/huggingface/transformers/issues/28623 | 2,092,648,273 | I_kwDOCUB6oc58u0dR | 28,623 | RuntimeError: element 0 of tensors does not require grad and does not have a grad_fn while model parameters requires_grad is True | {
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"I solved the problem by setting gradient_checkpointing_kwargs={\"use_reentrant\":False}, but I don’t know why.",
"cc @younesbelkada ",
"@ArthurZucker hi, I also have another problem. When I loaded Mixtral using `device_map` as `auto` in a node of 8 GPUs (A100 80G), it would not use the 8-th GPU although I chan... | 1,705 | 1,706 | null | NONE | null | ### System Info
- `transformers` version: 4.36.2
- Platform: Linux-5.15.0-18-shopee-generic-x86_64-with-glibc2.35
- Python version: 3.11.5
- Huggingface_hub version: 0.20.2
- Safetensors version: 0.4.0
- Accelerate version: 0.27.0.dev0
- Accelerate config: - compute_environment: LOCAL_MACHINE
- dis... | {
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https://api.github.com/repos/huggingface/transformers/issues/28622 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28622/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28622/comments | https://api.github.com/repos/huggingface/transformers/issues/28622/events | https://github.com/huggingface/transformers/issues/28622 | 2,092,639,091 | I_kwDOCUB6oc58uyNz | 28,622 | Can `LlamaTokenizerFast` support the argument `add_prefix_space = False` | {
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"Hey, #28010 will add support for this! 🤗 ",
"Thanks, I am very excited about this."
] | 1,705 | 1,708 | 1,708 | NONE | null | ### System Info
With `transformers==4.36.2`
It seems the argument `add_prefix_space` is invalid here.
### Who can help?
@ArthurZucker
### Reproduction
```
>>> from transformers import LlamaTokenizerFast
>>> tokenizer = LlamaTokenizerFast.from_pretrained("hf-internal-testing/llama-tokenizer", add_p... | {
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https://api.github.com/repos/huggingface/transformers/issues/28621 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28621/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28621/comments | https://api.github.com/repos/huggingface/transformers/issues/28621/events | https://github.com/huggingface/transformers/pull/28621 | 2,092,497,369 | PR_kwDOCUB6oc5kpdul | 28,621 | ⚠️ Raise `Exception` when trying to generate 0 tokens ⚠️ | {
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"Hi @gante \r\nCan you please have a look?\r\nNot sure why the tests are failing.",
"@danielkorat the test is failing because it is poorly parameterized -- it raises the newly added exception. I'd like to ask you to try to fix the test parameterization (ping me if you get stuck :) )",
"> @danielkorat the test i... | 1,705 | 1,707 | 1,707 | CONTRIBUTOR | null | # What does this PR do?
Currently, setting `max_new_tokens=0` produces 1 token instead of 0, and only a warning is produced.
To prevent unexpected patterns of generation, this warning should be changed to an `Exception`.
### Example:
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
che... | {
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https://api.github.com/repos/huggingface/transformers/issues/28620 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28620/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28620/comments | https://api.github.com/repos/huggingface/transformers/issues/28620/events | https://github.com/huggingface/transformers/pull/28620 | 2,092,471,767 | PR_kwDOCUB6oc5kpZAG | 28,620 | Unused "embedding_size" in bert attention | {
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"Hi @amar-jay, thanks for opening this PR! \r\n\r\nTo resolve the quality checks here, you'll need to run `make fix-copies`. The difficulty here is that, even though embedding size isn't part of the bert config - this attention class is copied in many cases throughout the library and might be protecting some hidden... | 1,705 | 1,708 | null | NONE | null | The embedding_size is not used.
# What does this PR do?
Fixes unused code in bert attention
Fixes a minor typo in code
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [ ] Did you read the [contributor guideline](https://github.c... | {
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https://api.github.com/repos/huggingface/transformers/issues/28619 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28619/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28619/comments | https://api.github.com/repos/huggingface/transformers/issues/28619/events | https://github.com/huggingface/transformers/issues/28619 | 2,092,457,798 | I_kwDOCUB6oc58uF9G | 28,619 | KOSMOS-2, finding probability distribution of the text sequence | {
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"@ydshieh can you look at it? Thank you so much!",
"Hi, \r\n\r\nI think you are only interested in looking the logits for the parts of `prompt1 = \"An old man sitting on a bench in a public park alone, reading a book.\"`.\r\n\r\nThis part is after the token (id) of `end of image` (eoi, `64004`). So you have to fi... | 1,705 | 1,705 | 1,705 | NONE | null | ### System Info
Google Colab with gpu environment enabled and related libraries installed
### Who can help?
@ydshieh
### Information
- [ ] 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/28618 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28618/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28618/comments | https://api.github.com/repos/huggingface/transformers/issues/28618/events | https://github.com/huggingface/transformers/pull/28618 | 2,092,301,494 | PR_kwDOCUB6oc5koz_I | 28,618 | Fix utf-8 yaml load for marian conversion to pytorch in Windows | {
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"@ArthurZucker \r\n\r\nYes, you can reproduce it with following Marian yaml file (Github doesn't allow .yml upload, so **change the file from .txt to .yml after download**):\r\n\r\n```\r\nwith open('opusTCv20210807.spm32k-spm32k.vocab.yml') as f:\r\n print(yaml.load(f, Loader=yaml.BaseLoader))\r\n```\r\n\r\nand ... | 1,705 | 1,707 | 1,707 | CONTRIBUTOR | null | # What does this PR do?
Fix yaml load for yaml files with UTF-8 encoding in convert_marian_to_pytorch.py
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](https://github.com/huggingface/trans... | {
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https://api.github.com/repos/huggingface/transformers/issues/28617 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28617/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28617/comments | https://api.github.com/repos/huggingface/transformers/issues/28617/events | https://github.com/huggingface/transformers/pull/28617 | 2,092,276,191 | PR_kwDOCUB6oc5kovFV | 28,617 | [`Llava`] Update convert_llava_weights_to_hf.py script | {
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Fixes: https://github.com/huggingface/transformers/issues/28597
* Remove config update of adding padding to `vocab_size` and `text_config.vocab_size` which causes `ValueError` exception.
* Remove keys that ends with `inv_freq... | {
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https://api.github.com/repos/huggingface/transformers/issues/28616 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28616/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28616/comments | https://api.github.com/repos/huggingface/transformers/issues/28616/events | https://github.com/huggingface/transformers/pull/28616 | 2,092,273,218 | PR_kwDOCUB6oc5kougi | 28,616 | Token healing | {
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"Circleci tests seem to fail, `tests_flax` for example outputs:\r\n\r\n> ImportError while importing test module '/home/circleci/transformers/tests/generation/test_token_healing.py'.\r\n> Hint: make sure your test modules/packages have valid Python names.\r\n> Traceback:\r\n> ../.pyenv/versions/3.8.12/lib/python3.8... | 1,705 | 1,708 | 1,708 | NONE | null | # What does this PR do?
Token healing rectifies the token boundary bias in greedy tokenization. It does this by trimming and regrowing the prompt to better align with the model's tokenizer, thus enhancing generation quality. The improvement is clearest with completion models.
Token boundary bias is a silent perfo... | {
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https://api.github.com/repos/huggingface/transformers/issues/28615 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28615/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28615/comments | https://api.github.com/repos/huggingface/transformers/issues/28615/events | https://github.com/huggingface/transformers/pull/28615 | 2,092,050,819 | PR_kwDOCUB6oc5koCAa | 28,615 | enable graident checkpointing in DetaObjectDetection and add tests in Swin/Donut_Swin | {
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"I also found missing part that transfomers team did not put.\r\n\r\nhttps://github.com/jozhang97/DETA/blob/f47e50efeb194357fb93a119f196a2e485fffdb5/models/deformable_transformer.py#L225\r\n\r\nAlso modified donut_swin and swin model for passing CI.",
"```\r\nroot@1c4a6f3ab7da:/mnt/nas2/users/sbchoi/transformers#... | 1,705 | 1,706 | 1,706 | 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/28614 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28614/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28614/comments | https://api.github.com/repos/huggingface/transformers/issues/28614/events | https://github.com/huggingface/transformers/issues/28614 | 2,091,954,715 | I_kwDOCUB6oc58sLIb | 28,614 | Training with FSDP slows down the convergence speed. | {
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"cc @pacman100 ",
"Although I use my own task and use my own dataset, I only added a few modules and training with full unfreeze. If you need a detailed script, I will delete the private content before uploading it in these days. @pacman100 ",
"Hope it can solved soon!",
"Can you provide a minimal reproducer ... | 1,705 | 1,708 | null | NONE | null | ### System Info
- `transformers` version: 4.35.2
- Platform: Linux-5.4.143-2-velinux1-amd64-x86_64-with-glibc2.31
- Python version: 3.10.13
- Huggingface_hub version: 0.19.4
- Safetensors version: 0.4.1
- Accelerate version: 0.23.0
- Accelerate config: - compute_environment: LOCAL_MACHINE
- distrib... | {
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https://api.github.com/repos/huggingface/transformers/issues/28613 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28613/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28613/comments | https://api.github.com/repos/huggingface/transformers/issues/28613/events | https://github.com/huggingface/transformers/issues/28613 | 2,091,937,176 | I_kwDOCUB6oc58sG2Y | 28,613 | Bug in GPT NeoX Implementation | {
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"Nice catch ! #28645 should fix it"
] | 1,705 | 1,705 | 1,705 | NONE | null | ### System Info
GPT-Neo-X does not have a "q_proj" module, so the following lines that check for the dtype raise an error.
```
input_dtype = query.dtype
if input_dtype == torch.float32:
if torch.is_autocast_enabled():
target_dtype = torch.get_autocast_gpu_dtype()
... | {
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https://api.github.com/repos/huggingface/transformers/issues/28612 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28612/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28612/comments | https://api.github.com/repos/huggingface/transformers/issues/28612/events | https://github.com/huggingface/transformers/pull/28612 | 2,091,894,574 | PR_kwDOCUB6oc5knigy | 28,612 | Update README_es.md | {
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"Maybe @osanseviero for verifying the Spanish? ",
"Thanks for updating and your contribution @vladydev3! "
] | 1,705 | 1,706 | 1,706 | CONTRIBUTOR | null | Fixing grammatical errors in the text | {
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"@kashif ",
"@chrisconst2 so due to the nature of patching the only potential covariates that can be included with PatchTST and I believe PatchTSMixer are going to be static features and static real-valued covariates... I believe the method is not too flexible in being able to accommodate these extra bells and wh... | 1,705 | 1,705 | null | NONE | null | ### Feature request
Include categorical features and exogenous variables as input for the PatchTST and PatchTSMixer timeseries foundation models
### Motivation
Categorical features and exogenous variables are key components in timeseries modelling
### Your contribution
- | {
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https://api.github.com/repos/huggingface/transformers/issues/28610 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28610/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28610/comments | https://api.github.com/repos/huggingface/transformers/issues/28610/events | https://github.com/huggingface/transformers/issues/28610 | 2,091,211,821 | I_kwDOCUB6oc58pVwt | 28,610 | ONNX export failure for models invoking SDPA attention | {
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"cc @fxmarty ",
"Thank you for the ping, thank you @BowenBao. cc @drisspg and linking relevant issues as well: https://github.com/pytorch/pytorch/issues/110681 & https://github.com/pytorch/pytorch/issues/108108\r\n\r\nSolution 3. SDPA tracing without attention_mask is I think not possible due to the data-dependen... | 1,705 | 1,708 | 1,707 | CONTRIBUTOR | null | > ValueError: Attention using SDPA can not be traced with torch.jit.trace when no attention_mask is provided. To solve this issue, please either load your model with the argument `attn_implementation="eager"` or pass an attention_mask input when tracing the model.
There has been some discussion about its possible r... | {
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https://api.github.com/repos/huggingface/transformers/issues/28609 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28609/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28609/comments | https://api.github.com/repos/huggingface/transformers/issues/28609/events | https://github.com/huggingface/transformers/issues/28609 | 2,090,845,175 | I_kwDOCUB6oc58n8P3 | 28,609 | Code crashes without errors when importing Trainer in TPU context | {
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"I would like to work on this\n",
"I have the same problem.",
"having same kaggle issue",
"Gentle ping @muellerzr "
] | 1,705 | 1,708 | null | NONE | null | ### System Info
I'm working on Kaggle with TPU enabled (TPU VM v3-8), running !transformers-cli env returns
[libprotobuf ERROR external/com_google_protobuf/src/google/protobuf/descriptor_database.cc:642] File already exists in database: tsl/profiler/protobuf/trace_events.proto
[libprotobuf FATAL external/com_googl... | {
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https://api.github.com/repos/huggingface/transformers/issues/28608 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28608/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28608/comments | https://api.github.com/repos/huggingface/transformers/issues/28608/events | https://github.com/huggingface/transformers/pull/28608 | 2,090,793,303 | PR_kwDOCUB6oc5kj3bE | 28,608 | [`Test tokenizers`] DO NOT MERGE | {
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tests `tokenizers==0.15.1rc1` | {
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https://api.github.com/repos/huggingface/transformers/issues/28607 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28607/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28607/comments | https://api.github.com/repos/huggingface/transformers/issues/28607/events | https://github.com/huggingface/transformers/pull/28607 | 2,090,724,894 | PR_kwDOCUB6oc5kjogb | 28,607 | Generate: deprecate old src imports | {
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We have 3 thin wrappers for `generate`, one for each framework, whose sole purpose is to import the mixin from `src/transformers/generation(_flax/_tf)_utils.py`. In other words, to import from `src` according to the codebase before [this PR](https://github.com/huggingface/transformers/pull/20... | {
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"Thank you for your attention. I am one of the authors of `VMamba`. We have just renewed the repo with code easier to transplanting. I hope this would helps you in your splendid work!"
] | 1,705 | 1,706 | null | NONE | null | ### Model description
VMamba is a visual foundation model proposed in https://arxiv.org/pdf/2401.10166.pdf.
It is inspired by the recent advances in state stace models and in particular Mamba. The proposed architecture is computationally more efficient than vision transformer architectures because it scales linea... | {
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https://api.github.com/repos/huggingface/transformers/issues/28605 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28605/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28605/comments | https://api.github.com/repos/huggingface/transformers/issues/28605/events | https://github.com/huggingface/transformers/pull/28605 | 2,090,707,493 | PR_kwDOCUB6oc5kjkuO | 28,605 | Falcon: removed unused function | {
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(see title) | {
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https://api.github.com/repos/huggingface/transformers/issues/28604 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28604/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28604/comments | https://api.github.com/repos/huggingface/transformers/issues/28604/events | https://github.com/huggingface/transformers/pull/28604 | 2,090,532,106 | PR_kwDOCUB6oc5ki93N | 28,604 | fix a hidden bug of `GenerationConfig`, now the `generation_config.json` can be loaded successfully | {
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"Hi @ParadoxZW 👋 \r\n\r\nThe exception message you got, `not supported between instances of 'str' and 'int'`, seems to point at a failed attempt to sort `str` and `int`. In turn, this means `int` was used as a key of the json file, which is not intended for a `GenerationConfig`. May I ask for a short reproducer of... | 1,705 | 1,706 | 1,706 | CONTRIBUTOR | null | # What does this PR do?
I was developing an open-source LLM project, and I found that the `generation_config.json` file cannot be successfully loaded to controll model's generation process, though I've written some attributes in this file, such as `eos_token_id` (a newly initialized model object from `from_pretraine... | {
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https://api.github.com/repos/huggingface/transformers/issues/28603 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28603/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28603/comments | https://api.github.com/repos/huggingface/transformers/issues/28603/events | https://github.com/huggingface/transformers/issues/28603 | 2,090,397,789 | I_kwDOCUB6oc58mPBd | 28,603 | Error Using Ray Tune because of the repo id | {
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"Hi @matiasfreitas, thanks for raising this issue! \r\n\r\nThird-party integrations such as ray are maintained by their contributors, rather than the transformers team. In this case, it seems the repo id being passed is a logged step in the training. If you or anyone else in the community would like to open a PR to... | 1,705 | 1,708 | null | NONE | null | ### System Info
- `transformers` version: 4.30.0
- Platform: Linux-6.6.6-76060606-generic-x86_64-with-glibc2.35
- Python version: 3.11.5
- Huggingface_hub version: 0.15.1
- Safetensors version: 0.3.2
- PyTorch version (GPU?): 2.1.0+cu121 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU... | {
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https://api.github.com/repos/huggingface/transformers/issues/28602 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28602/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28602/comments | https://api.github.com/repos/huggingface/transformers/issues/28602/events | https://github.com/huggingface/transformers/pull/28602 | 2,090,371,299 | PR_kwDOCUB6oc5kiag2 | 28,602 | [`GPTNeoX`] Fix BC issue with 4.36 | {
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We broke some of the GPTNeoX model with the dtype in #25830. Sorry for the inconvenience.
This was breaking in terms of logits, now this PR will probably make the model slow than with casting to smaller dtype.
Fixes #28360, fixes #28316.
For a sample generation I am getting some slow do... | {
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https://api.github.com/repos/huggingface/transformers/issues/28601 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28601/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28601/comments | https://api.github.com/repos/huggingface/transformers/issues/28601/events | https://github.com/huggingface/transformers/pull/28601 | 2,090,366,803 | PR_kwDOCUB6oc5kiZec | 28,601 | Add config tip to custom model docs | {
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https://api.github.com/repos/huggingface/transformers/issues/28600 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28600/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28600/comments | https://api.github.com/repos/huggingface/transformers/issues/28600/events | https://github.com/huggingface/transformers/pull/28600 | 2,090,197,596 | PR_kwDOCUB6oc5khzVS | 28,600 | RWKV: raise informative exception when attempting to manipulate `past_key_values` | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_28600). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | 1,705 | 1,705 | 1,705 | MEMBER | null | # What does this PR do?
Some generation methods (like the new ngram speculation thingy) need to manipulate `past_key_values`. RWKV, a recurrent neural network, doesn't have this attribute -- a standard `AttributeError` is raised when such methods are called with RWKV. (related comment: https://github.com/huggingface... | {
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https://api.github.com/repos/huggingface/transformers/issues/28599 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28599/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28599/comments | https://api.github.com/repos/huggingface/transformers/issues/28599/events | https://github.com/huggingface/transformers/issues/28599 | 2,090,169,443 | I_kwDOCUB6oc58lXRj | 28,599 | [Kosmos-2] | {
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"Hi, see my comment\r\n\r\nhttps://github.com/microsoft/unilm/issues/1429#issuecomment-1900139771\r\n\r\n(I just saw you also opened an issue here before I replied there)",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed plea... | 1,705 | 1,708 | null | NONE | null | ### System Info
- `transformers` version: 4.36.2
- Platform: Linux-5.15.0-84-generic-x86_64-with-glibc2.35
- Python version: 3.10.0
- Huggingface_hub version: 0.20.2
- Safetensors version: 0.4.1
- Accelerate version: 0.26.1
- Accelerate config: not found
- PyTorch version (GPU?): 2.1.2+cu121 (True)
- Tensor... | {
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https://api.github.com/repos/huggingface/transformers/issues/28598 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28598/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28598/comments | https://api.github.com/repos/huggingface/transformers/issues/28598/events | https://github.com/huggingface/transformers/issues/28598 | 2,089,686,976 | I_kwDOCUB6oc58jhfA | 28,598 | what is the correct format of input when fine-tuning GPT2 for text generation with batch input? | {
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"Hey 🤗 thanks for opening an issue! We try to keep the github issues for bugs/feature requests.\r\nCould you ask your question on the [forum](https://discuss.huggingface.co/) instead? I'm sure the community will be of help!\r\n\r\nThanks!",
"sure. thanks!"
] | 1,705 | 1,705 | 1,705 | NONE | null | ### System Info
- `transformers` version: 4.33.0
- Platform: Windows-10-10.0.19045-SP0
- Python version: 3.10.12
- Huggingface_hub version: 0.16.4
- Safetensors version: 0.3.3
- Accelerate version: 0.22.0
- Accelerate config: not found
- PyTorch version (GPU?): 2.0.1+cpu (False)
- Tensorflow version (GPU?... | {
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https://api.github.com/repos/huggingface/transformers/issues/28597 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28597/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28597/comments | https://api.github.com/repos/huggingface/transformers/issues/28597/events | https://github.com/huggingface/transformers/issues/28597 | 2,089,437,004 | I_kwDOCUB6oc58ikdM | 28,597 | How to find or create the `model_state_dict.bin` file for the `convert_llava_weights_to_hf.py` script | {
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"Hi @isaac-vidas \r\nThanks very much for your message, I think that these [two lines](https://github.com/huggingface/transformers/blob/772307be7649e1333a933cfaa229dc0dec2fd331/src/transformers/models/llava/convert_llava_weights_to_hf.py#L96-L97) seems wrong, does replacing them with `model.get_input_embeddings().w... | 1,705 | 1,705 | 1,705 | CONTRIBUTOR | null | Hi @younesbelkada,
Following up on the [fix to the LLaVA convert script](https://github.com/huggingface/transformers/pull/28570) and thanks for all the help with the PR!
I encountered some issue with the convert script and wanted to ask about the recommended way to create the `model_state_dict.bin` file specified... | {
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https://api.github.com/repos/huggingface/transformers/issues/28596 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28596/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28596/comments | https://api.github.com/repos/huggingface/transformers/issues/28596/events | https://github.com/huggingface/transformers/issues/28596 | 2,089,426,891 | I_kwDOCUB6oc58ih_L | 28,596 | HfDeepSpeedConfig + ZeRO3 init accuracy bug! | {
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"https://github.com/microsoft/DeepSpeed/issues/4932",
"Hi @hijkzzz, thanks for raising an issue! \r\n\r\ncc @pacman100 @ArthurZucker cf [this comment](https://github.com/microsoft/DeepSpeed/issues/4932#issuecomment-1902177942)",
"Also cc @gante as it seems related to ROPE! ",
"To prevent duplication, let's fo... | 1,705 | 1,706 | null | NONE | null | ### System Info
see https://github.com/microsoft/DeepSpeed/issues/4932
### Who can help?
_No response_
### Information
- [x] The official example scripts
- [x] My own modified scripts
### Tasks
- [x] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [x] My own task or dataset (giv... | {
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https://api.github.com/repos/huggingface/transformers/issues/28595 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28595/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28595/comments | https://api.github.com/repos/huggingface/transformers/issues/28595/events | https://github.com/huggingface/transformers/issues/28595 | 2,089,424,034 | I_kwDOCUB6oc58ihSi | 28,595 | Trainer is DP? support DDP？ | {
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"Can it be DDP by adding fsdp=\"shard_grap_op\" of TrainingArguments and fsdp=\"\"full_shard\" be DP?",
"Hi @ciaoyizhen, thanks for raising an issue! \r\n\r\nThis is a question best placed in our [forums](https://discuss.huggingface.co/). We try to reserve the github issues for feature requests and bug reports.\r... | 1,705 | 1,708 | null | NONE | null | ### Feature request
Is the trainer DDP or DP? If it is DDP, why do I train with multiple graphics cards, and the graphics card memory consumed on cuda-0 is much larger than other graphics cards. Or is it that when I increase per_device_train_batch_size, the cuda-0 card will exceed the graphics card memory, and then it... | {
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https://api.github.com/repos/huggingface/transformers/issues/28594 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28594/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28594/comments | https://api.github.com/repos/huggingface/transformers/issues/28594/events | https://github.com/huggingface/transformers/pull/28594 | 2,089,335,501 | PR_kwDOCUB6oc5kezMw | 28,594 | Test | {
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https://api.github.com/repos/huggingface/transformers/issues/28593 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28593/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28593/comments | https://api.github.com/repos/huggingface/transformers/issues/28593/events | https://github.com/huggingface/transformers/issues/28593 | 2,088,952,370 | I_kwDOCUB6oc58guIy | 28,593 | ViltForTokenClassification not working for personalize multiclass classification. | {
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"Hi @matiasfreitas \r\nThanks for the issue! Can you past the full traceback of the issue here? 🙏 ",
"```\r\n---------------------------------------------------------------------------\r\nValueError Traceback (most recent call last)\r\n/tmp/ipykernel_133949/2760725053.py in <cell l... | 1,705 | 1,708 | null | NONE | null | ### System Info
I had several errors trying to use the ViLt code for multiclass classification.
On the lines 1473-1478 of the [modeling_vilt.py](https://github.com/huggingface/transformers/blob/v4.36.1/src/transformers/models/vilt/modeling_vilt.py#L1413) we have that code:
```
if labels is not None:
... | {
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https://api.github.com/repos/huggingface/transformers/issues/28592 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28592/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28592/comments | https://api.github.com/repos/huggingface/transformers/issues/28592/events | https://github.com/huggingface/transformers/issues/28592 | 2,088,835,235 | I_kwDOCUB6oc58gRij | 28,592 | Mixtral gets stuck at Loading checkpoint shards. | {
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"Hi @AdamLouly, thanks for raising an issue! \r\n\r\nCould you share a reproducible snippet to show how you're loading the model? \r\nFor the transformers version - could you share the commit you're running on?\r\n\r\ncc @ArthurZucker @younesbelkada ",
"hi @AdamLouly \r\nAs stated by @amyeroberts , a reproducible... | 1,705 | 1,708 | null | CONTRIBUTOR | null | ### System Info
Nightly transformers.
nightly torch
8 GPUs
### Who can help?
When trying to run mixtral using the example in transformers.
it gets stuck at Loading checkpoint shards
at this point:
Loading checkpoint shards: 42%|██████████████████████████████████████████████▋
... | {
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"Cc @ArthurZucker @younesbelkada ",
"Might be a tokenization issue will have a look "
] | 1,705 | 1,708 | null | MEMBER | null | ### System Info
transformers==4.36.2
### Reproduction
Reported by https://huggingface.co/VishnuSuganth
https://huggingface.co/HuggingFaceM4/idefics-9b-instruct/discussions/11
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https://api.github.com/repos/huggingface/transformers/issues/28590 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28590/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28590/comments | https://api.github.com/repos/huggingface/transformers/issues/28590/events | https://github.com/huggingface/transformers/pull/28590 | 2,088,717,209 | PR_kwDOCUB6oc5kcqsX | 28,590 | Fix id2label assignment in run_classification.py | {
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This pull request addresses an issue in the `run_classification.py` script where the assignment of the `id2label` attribute in the model's config is incorrect. The current implementation copies `config.label2id` without modifying it, leading to an incorrect mapping. The proposed fix ensures t... | {
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"model.config.id2label = {id: label for label, id in config.label2id.items()}"
] | 1,705 | 1,705 | 1,705 | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.36.2
- Platform: macOS-13.4-arm64-arm-64bit
- Python version: 3.10.10
- Huggingface_hub version: 0.20.2
- Safetensors version: 0.4.0
- Accelerate version: 0.23.0
- Accelerate config: not found
- PyTorch version (GPU?): 2.1.0 (False)
- Tensorflow version (GPU?): no... | {
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"Quick note to myself: The failing test is likely caused by replacing `K.set_value()` with `tf.assign()` somewhere, since `tf.assign()` lacks an implicit dtype cast. The test fails whether or not other tests are run beforehand, so it's not a case of the mixed precision policy accidentally carrying over between test... | 1,705 | 1,707 | 1,706 | MEMBER | null | Keras 3 will break backward compatibility for our TF code, and is becoming the default Keras in TF 2.16. This PR uses the `tf_keras` package to maintain backward compatibility - it imports tf_keras if available, and if not then it attempts to import keras, but raises an issue if the version is >= 3.
Our future plan ... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_28587). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"> Looks good I would say ! Do you know if there are any checkpoint on the Hub that... | 1,705 | 1,705 | 1,705 | CONTRIBUTOR | null | # What does this PR do?
The new version of SwitchTransformers uses a gated linear layer.
This pull request adds gated Linear Layers support for SwitchTransformers.
This is very similar to T5 and T5 v1.1 models.
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the othe... | {
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https://api.github.com/repos/huggingface/transformers/issues/28585 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28585/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28585/comments | https://api.github.com/repos/huggingface/transformers/issues/28585/events | https://github.com/huggingface/transformers/pull/28585 | 2,088,483,355 | PR_kwDOCUB6oc5kb3U0 | 28,585 | Add w2v2bert to pipeline | {
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"> Also cc @ydshieh, it would be nice to add the model architecture to the tiny model repo !\r\n\r\nOK, will update next week (if it succeed to create the tiny model though)",
"> second approval\r\n\r\nnothing big from my side other than 2 tiny comments.\r\n\r\n> all slow ASR tests pass\r\n\r\nyes, confirmed"
] | 1,705 | 1,706 | 1,705 | COLLABORATOR | null | # What does this PR do?
https://github.com/huggingface/transformers/pull/28165 introduced a new W2V2-based model that uses a different feature extractor than classic CTC-based models.
In particular, it takes mel-spectrograms as `input_features`, instead of raw waveform as `input_values`.
The pipeline only takes `i... | {
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Don't save `processor_config.json` if a processor has no extra attribute | {
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The documentation says "We refer to this Model parallelism as “Vertical” because of how models are typically visualized.", but then visualizes the model horizontally. This change visualizes the model indeed vertically.
## Before submitting
- [x] This PR fixes a typo or improves the docs (... | {
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] | 1,705 | 1,705 | 1,705 | COLLABORATOR | null | # What does this PR do?
#28165 introduced a new W2V2-based model that uses a different feature extractor than classic CTC-based models.
In particular, it takes mel-spectrograms as `input_features`, instead of raw waveform as `input_values`.
This runs well with the [example from the README](https://github.com/hug... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_28581). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | 1,705 | 1,705 | 1,705 | COLLABORATOR | null | # What does this PR do?
Small fix c.f. https://github.com/huggingface/transformers/commit/d93ef7d7512e79612606f29e6ae308920f0a86cd#r137345713
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https://api.github.com/repos/huggingface/transformers/issues/28580 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28580/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28580/comments | https://api.github.com/repos/huggingface/transformers/issues/28580/events | https://github.com/huggingface/transformers/issues/28580 | 2,088,302,103 | I_kwDOCUB6oc58ePYX | 28,580 | This model has one file that has been marked as unsafe. [training_args.bin] | {
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"Hi @rizwan-ai \r\nIf you uploaded the files by yourself, in theory it should be safe, however we advise you to double check things before running anything. Please refer to this documentation page: https://huggingface.co/docs/hub/security-pickle for more details",
"This issue has been automatically marked as stal... | 1,705 | 1,708 | null | NONE | null | ### System Info
**Framework versions**
- Transformers 4.36.2
- Pytorch 2.1.2+cpu
- Datasets 2.16.1
- Tokenizers 0.15.0
This model has one file that has been marked as unsafe.
[training_args.bin](https://huggingface.co/rizwan-ai/distilbert-base-uncased-finetuned-emotion/blob/main/training_args.bin)
### G... | {
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https://api.github.com/repos/huggingface/transformers/issues/28579 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28579/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28579/comments | https://api.github.com/repos/huggingface/transformers/issues/28579/events | https://github.com/huggingface/transformers/pull/28579 | 2,088,191,321 | PR_kwDOCUB6oc5ka3IF | 28,579 | Fix: `generate()` with `max_new_tokens=0` produces a single token. | {
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"Hi @danielkorat 👋 \r\n\r\nIn lower-level APIs like `generate`, we should strive to be more strict if some parameterization is causing problems to avoid creating unexpected patterns. In this case, generating with 0 tokens should not be possible, as there is no generation involved. \r\n\r\nAs such, I'd suggest incr... | 1,705 | 1,705 | 1,705 | CONTRIBUTOR | null | # What does this PR do?
Currently, setting `max_new_tokens=0` produces 1 token instead of 0, and the warning is unclear.
For example, for the following code:
```python
checkpoint = "bigcode/tiny_starcoder_py"
tokenizer = AutoTokenizer.from_pretrained(checkpoint)
model = AutoModelForCausalLM.from_pretrained(ch... | {
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https://api.github.com/repos/huggingface/transformers/issues/28578 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28578/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28578/comments | https://api.github.com/repos/huggingface/transformers/issues/28578/events | https://github.com/huggingface/transformers/pull/28578 | 2,088,073,432 | PR_kwDOCUB6oc5kadRR | 28,578 | [SigLIP] Don't pad by default | {
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Fixes #28569
Note: will require an update of the code snippets of the model cards + my demo notebook | {
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https://api.github.com/repos/huggingface/transformers/issues/28577 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28577/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28577/comments | https://api.github.com/repos/huggingface/transformers/issues/28577/events | https://github.com/huggingface/transformers/issues/28577 | 2,088,057,678 | I_kwDOCUB6oc58dTtO | 28,577 | Inconsistent behavior between tokenizer and fast tokenizer | {
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"Thanks for reporting! This is pretty much a known bug but will be fixed by the likes of #26678 (when propagated to Llama)"
] | 1,705 | 1,708 | null | NONE | null | ### System Info
- `transformers` version: 4.36.2
- Platform: Linux-4.18.0-193.6.3.el8_2.v1.4.x86_64-x86_64-with-glibc2.29
- Python version: 3.8.10
- Huggingface_hub version: 0.19.4
- Safetensors version: 0.4.0
- Accelerate version: 0.25.0
- Accelerate config: not found
- PyTorch version (GPU?): 2.0.1+cu118 (... | {
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https://api.github.com/repos/huggingface/transformers/issues/28576 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28576/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28576/comments | https://api.github.com/repos/huggingface/transformers/issues/28576/events | https://github.com/huggingface/transformers/issues/28576 | 2,088,057,073 | I_kwDOCUB6oc58dTjx | 28,576 | Feature Request: Expose an Args to Set Prefetch Factor in Trainer | {
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"Hi @uygnef, thanks for raising an issue!\r\n\r\nThere is a related PR open: #28498 cc @muellerzr @pacman100 ",
"> Hi @uygnef, thanks for raising an issue!\r\n> \r\n> There is a related PR open: #28498 cc @muellerzr @pacman100\r\n\r\noh, good job!",
"This issue has been automatically marked as stale because it ... | 1,705 | 1,708 | null | NONE | null | ### Feature request
Currently, the trainer does not allow users to set the prefetch factor as an argument from the training script.
### Motivation
This can be a limitation when training large models, especially when the data is being fetched from a remote server, as the loading speed can become a bottleneck due to ... | {
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https://api.github.com/repos/huggingface/transformers/issues/28575 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28575/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28575/comments | https://api.github.com/repos/huggingface/transformers/issues/28575/events | https://github.com/huggingface/transformers/pull/28575 | 2,088,049,724 | PR_kwDOCUB6oc5kaYGD | 28,575 | Use `LoggingLevel` context manager in 3 tests | {
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"I don't run CI multiple times with this PR - but quite confident this would fix the current situation.",
"I forgot to remove `is_flaky`. Will do before merge 😅 ",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_28575). All of your documentation changes will be reflec... | 1,705 | 1,705 | 1,705 | COLLABORATOR | null | # What does this PR do?
To avoid flaky failing tests due to transformers' root logger's level being changed by some (unknown yet) other tests. | {
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Fix multiple typos
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https://api.github.com/repos/huggingface/transformers/issues/28573 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28573/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28573/comments | https://api.github.com/repos/huggingface/transformers/issues/28573/events | https://github.com/huggingface/transformers/issues/28573 | 2,087,647,786 | I_kwDOCUB6oc58bvoq | 28,573 | data_collator in examples/pytorch/language-modeling/run_clm.py | {
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"Hey 🤗 thanks for opening an issue! We try to keep the github issues for bugs/feature requests.\r\nCould you ask your question on the [forum](https://discuss.huggingface.co/) instead? I'm sure the community will be of help!\r\n\r\nThanks!"
] | 1,705 | 1,706 | 1,706 | NONE | null | ### System Info
According to the script, the trainer use dafault_data_collator to model causal language modelling.
https://github.com/huggingface/transformers/blob/98dda8ed03ac3f4af5733bdddaa1dab6a81e15c1/examples/pytorch/language-modeling/run_clm.py#L604
Shouldn't we use DataCollatorForLanguageModeling to shift inp... | {
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https://api.github.com/repos/huggingface/transformers/issues/28572 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28572/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28572/comments | https://api.github.com/repos/huggingface/transformers/issues/28572/events | https://github.com/huggingface/transformers/pull/28572 | 2,087,586,420 | PR_kwDOCUB6oc5kYy8L | 28,572 | add YaRN RoPE scaling code for LLaMA | {
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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... | 1,705 | 1,708 | null | NONE | null | # What does this PR do?
This adds the [YaRN RoPE scaling method](https://arxiv.org/abs/2309.00071) to the LLaMA-class of models. It can be activated for finetuned models by setting `rope_scaling.type = 'yarn'` or for non-finetuned models by setting `rope_scaling.type = 'dynamic-yarn'`.
This PR enables the LLaMA f... | {
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https://api.github.com/repos/huggingface/transformers/issues/28570 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28570/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28570/comments | https://api.github.com/repos/huggingface/transformers/issues/28570/events | https://github.com/huggingface/transformers/pull/28570 | 2,087,361,488 | PR_kwDOCUB6oc5kYBkM | 28,570 | [`Llava`] Fix convert_llava_weights_to_hf.py script | {
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"@isaac-vidas would you be happy to address the same fix for Vip-Llava? https://github.com/huggingface/transformers/blob/main/src/transformers/models/vipllava/convert_vipllava_weights_to_hf.py#L61",
"Thanks for the review @younesbelkada!\r\nI added the fix you mentioned, if you can review again please 😄 ",
"Th... | 1,705 | 1,705 | 1,705 | CONTRIBUTOR | null | Fix call to `tokenizer.add_tokens` in `convert_llava_weights_to_hf.py` and `convert_vipllava_weights_to_hf.py` scripts.
# What does this PR do?
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Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, ... | {
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"Good point. cc @ArthurZucker - I added this to make sure people use `max_length` as the pre-trained models use this.\r\n\r\nI guess it would be better to explicitly pass `padding=\"max_length\"` so that this is more explicit and users have the choice.",
"Thank you!"
] | 1,705 | 1,705 | 1,705 | NONE | null | ### Feature request
Change the implementation of `SiglipProcessor` to use the global default behavior for `padding` of `False` or update the documentation to indicate the usage is different and defaults to `'max_length'` if the `padding` argument is not provided.
### Motivation
In the HF documentation for padd... | {
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"cc @younesbelkada @SunMarc ",
"Thanks !\r\n@efrantar can confirm but looking at the code it looks like you essentially just need to replace all Linear layers with `marlin.Linear` ? (not 100% sure) if the interface is simple we can definitely add that support I think by passing `MarlinConfig` through `quantizatio... | 1,705 | 1,705 | null | NONE | null | ### Feature request
Integration of new 4bit kernels
https://github.com/IST-DASLab/marlin
### Motivation
provide faster Inference than awq/exllama for batch sizes upto 32
### Your contribution
Just saw this today, can try provide sample notebook. | {
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https://api.github.com/repos/huggingface/transformers/issues/28567 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28567/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28567/comments | https://api.github.com/repos/huggingface/transformers/issues/28567/events | https://github.com/huggingface/transformers/pull/28567 | 2,086,938,368 | PR_kwDOCUB6oc5kWlHG | 28,567 | Fix the documentation checkpoint for xlm-roberta-xl | {
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"thanks for fixing!"
] | 1,705 | 1,705 | 1,705 | CONTRIBUTOR | null | # What does this PR do?
This is a small PR that corrects the name of the `xlm-roberta-xl` checkpoint in the `transformers` documentation.
I also noticed that the docstrings were referring to the model as either `XLM-RoBERTa-xlarge` or `XLM-Roberta-xlarge` and I corrected all of those instances to `XLM-RoBERTa-XL`... | {
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"Yeah, I think we should also have the same processing logic for `RepositoryNotFoundError` exception, should I commit it in this PR?\r\nI would also like to merge three private parameters into one parameter called `optional_file`, but consider I also not quite familiar with this repo, I decided not to do so, even I... | 1,705 | 1,706 | 1,706 | CONTRIBUTOR | null | # What does this PR do?
The repo will have some optional files missed, and we have `_raise_exceptions_for_missing_entries=False` to suppress such errors, however for gated repo we won't be able to know if files exists or not without passing the `token` parameter (or env variable), even we already fully downloaded the ... | {
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"Hi @balachandra, thanks for raising an issue! \r\n\r\nSo that we can be best help you, please make sure to follow the [issue template](https://github.com/huggingface/transformers/blob/main/.github/ISSUE_TEMPLATE/bug-report.yml) and provide: \r\n* The running environment: run `transformers-cli env` in the terminal ... | 1,705 | 1,708 | null | NONE | null | ### System Info
Using AWS sagemaker notebook with conda_pytorch_p310 as env.
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or datase... | {
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https://api.github.com/repos/huggingface/transformers/issues/28564 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28564/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28564/comments | https://api.github.com/repos/huggingface/transformers/issues/28564/events | https://github.com/huggingface/transformers/pull/28564 | 2,086,644,413 | PR_kwDOCUB6oc5kVk3x | 28,564 | Fix Switch Transformers When sparse_step = 1 | {
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In case sparse_step = 1, the current code will not work.
Because anything % 1 will always equal 0, even though there should be a spare layer at each block.
Fixes # (issue)
I didn't open an issue. I just solved the problem with this PR.
## Before submitting
- [ ] This PR fixes a typ... | {
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https://api.github.com/repos/huggingface/transformers/issues/28563 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28563/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28563/comments | https://api.github.com/repos/huggingface/transformers/issues/28563/events | https://github.com/huggingface/transformers/pull/28563 | 2,086,638,401 | PR_kwDOCUB6oc5kVjjV | 28,563 | [Whisper] Fix audio classification with weighted layer sum | {
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Fixes #28002: the `WhisperForAudioClassfication` is corrected for compatibility with `use_weighted_layer_sum=True`. Implements 2 tests to confirm correctness. | {
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https://api.github.com/repos/huggingface/transformers/issues/28562 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28562/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28562/comments | https://api.github.com/repos/huggingface/transformers/issues/28562/events | https://github.com/huggingface/transformers/issues/28562 | 2,086,612,194 | I_kwDOCUB6oc58Xyzi | 28,562 | The examples for xlm-roberta-xl reference a model that doesn't exist | {
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"Nice catch – would you be able to open a PR to fix the model reference?",
"> Nice catch – would you be able to open a PR to fix the model reference?\r\n\r\nyes @julien-c, if you're happy with the new model reference then I would be happy to make the PR."
] | 1,705 | 1,705 | 1,705 | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.36.2
- Platform: Windows-10-10.0.22621-SP0
- Python version: 3.8.18
- Huggingface_hub version: 0.20.2
- Safetensors version: 0.4.1
- Accelerate version: not installed
- Accelerate config: not found
- PyTorch version (GPU?): 2.1.2+cpu (False)
- Tensorflow version (G... | {
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https://api.github.com/repos/huggingface/transformers/issues/28561 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28561/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28561/comments | https://api.github.com/repos/huggingface/transformers/issues/28561/events | https://github.com/huggingface/transformers/pull/28561 | 2,086,502,150 | PR_kwDOCUB6oc5kVF31 | 28,561 | Update image_processing_deformable_detr.py | {
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"Thanks for reviewing it @amyeroberts, I have addressed your comment. This MR should be ready to be merged."
] | 1,705 | 1,705 | 1,705 | CONTRIBUTOR | null | # What does this PR do?
This PR in `image_processing_deformable_detr.py` prevents the usage of `unbind` on `target_sizes` when it is of `NoneType` similar to https://github.com/huggingface/transformers/blob/d6ffe74dfa577b5e7d12e48aa1c686ad8d3ef557/src/transformers/models/detr/image_processing_detr.py#L1606
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https://api.github.com/repos/huggingface/transformers/issues/28560 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28560/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28560/comments | https://api.github.com/repos/huggingface/transformers/issues/28560/events | https://github.com/huggingface/transformers/issues/28560 | 2,086,424,006 | I_kwDOCUB6oc58XE3G | 28,560 | Cohere embed - Sagemaker deploy - Should have a `model_type` key in its config.json | {
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"Hi @pthd, thanks for raising an issue! \r\n\r\nI'd suggest opening a discussion on the [model's hub page](https://huggingface.co/Cohere/Cohere-embed-multilingual-v3.0). As it looks like it might be related to the model itself and the owners of the repo will be able to address that. ",
"This issue has been automa... | 1,705 | 1,708 | null | NONE | null | ### System Info
- `transformers` version: 4.33.2
- Platform: macOS-14.2.1-arm64-arm-64bit
- Python version: 3.9.16
- Huggingface_hub version: 0.18.0
- Safetensors version: 0.4.0
- Accelerate version: 0.23.0
- Accelerate config: not found
- PyTorch version (GPU?): 2.1.0 (False)
- Tensorflow version (GPU?):... | {
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https://api.github.com/repos/huggingface/transformers/issues/28559 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28559/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28559/comments | https://api.github.com/repos/huggingface/transformers/issues/28559/events | https://github.com/huggingface/transformers/pull/28559 | 2,086,294,196 | PR_kwDOCUB6oc5kUZCd | 28,559 | ClearMLCallback enhancements: support multiple runs and handle logging better | {
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"Hi @LysandreJik! Can you or someone from your team please review this PR?",
"Hi @eugen-ajechiloae-clearml, apologies for the delay. Reviewing now!",
"@eugen-ajechiloae-clearml We had some recent issues with new package releases and compatibility on our circle CI pipeline. Fixes have been merged into `main` reb... | 1,705 | 1,707 | 1,707 | CONTRIBUTOR | null | Currently, training multiple models in the same script might cause some model checkpoints logged to ClearML to be lost, as well as scalars, when using ClearMLCallback. This PR fixes these issues. Scalar visualization in ClearML has also been enhanced.
What the PR does:
1. We count the number of times `ClearMLCallb... | {
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