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https://api.github.com/repos/huggingface/transformers/issues/28760 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28760/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28760/comments | https://api.github.com/repos/huggingface/transformers/issues/28760/events | https://github.com/huggingface/transformers/pull/28760 | 2,105,891,568 | PR_kwDOCUB6oc5lWN1x | 28,760 | DeepSpeed: hardcode `torch.arange` dtype on `float` usage to avoid incorrect initialization | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_28760). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"@ArthurZucker I've added a test case that shows how it was failing before π It o... | 1,706 | 1,706 | 1,706 | MEMBER | null | # What does this PR do?
Addresses #28685 -- check the issue (and related issues) for a full discussion.
TL;DR: some frameworks, such as DeepSpeed, may patch the initialization of a tensor. For instance, a `float32` tensor may be initialized as `bfloat16` instead. This is particularly problematic when `torch.arang... | {
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"> Thanks for adding this!\r\n> \r\n> For the code quality checks, you'll need to run `make fixup` and push the changes.\r\n> \r\n> From the docstring, it mentions behaviour about `\"heuristic_transient\" being reset, but I don't see logic relating to it in this diff. Does this already happen?\r\n\r\nI just fixed d... | 1,706 | 1,708 | 1,708 | CONTRIBUTOR | null | # What does this PR do?
We have defined 2 different num_assistant_tokens_schedule values:
- `heuristic`: When all _speculative_ tokens are correct, increase `num_assistant_tokens` by 2 else reduce by 1. `num_assistant_tokens` value is persistent over multiple generation calls with the same assistant model.
- `heu... | {
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https://api.github.com/repos/huggingface/transformers/issues/28758 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28758/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28758/comments | https://api.github.com/repos/huggingface/transformers/issues/28758/events | https://github.com/huggingface/transformers/pull/28758 | 2,105,636,363 | PR_kwDOCUB6oc5lVWBb | 28,758 | Pin pytest version <8.0.0 | {
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"@amyeroberts you are too fast to address my first comment, so I am not sure if you see my 2nd one\r\n\r\n\r\n\r\nsrc/transformers/dependency_versions_table.py need to be updated by running make deps_table_update\r\n",
"> @amyeroberts you are too fast to address my first comment, so I am not sure if you see my 2n... | 1,706 | 1,706 | 1,706 | COLLABORATOR | null | # What does this PR do?
pytest released a new major version, 8 two days ago: https://pypi.org/project/pytest/8.0.0/
This breaks doctest runs on CI e.g. https://app.circleci.com/pipelines/github/huggingface/transformers/83241/workflows/7ca5119f-b434-4c93-89fb-28378e63c449/jobs/1073188
Pinning until we make our ... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_28757). 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 | COLLABORATOR | null | # What does this PR do?
Test occasionally fails on CI runs e.g. https://app.circleci.com/pipelines/github/huggingface/transformers/83241/workflows/6cb424b9-229b-412f-abfd-71cc6cfc7392/jobs/1073186/tests#failed-test-0
Marking as flaky to trigger retries to help prevent failing CI runs on unrelated PRs. | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_28756). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"@ArthurZucker sounds good, I'll look into adding a test. If you know of any exist... | 1,706 | 1,706 | null | 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/28755 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28755/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28755/comments | https://api.github.com/repos/huggingface/transformers/issues/28755/events | https://github.com/huggingface/transformers/pull/28755 | 2,105,467,429 | PR_kwDOCUB6oc5lUwxp | 28,755 | Expose `offload_buffers` parameter of `accelerate` to `PreTrainedModel.from_pretrained` method | {
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"@muellerzr would you mind taking a look? thanks!"
] | 1,706 | 1,707 | null | NONE | null | # What does this PR do?
This PR will expose the `offload_buffers` parameter of the `dispatch_model` method in `accelerate` to the `PreTrainedModel.from_pretrained`, then we can make the following code easier if we want to use this parameter:
```python
config = AutoConfig.from_pretrained(model_id)
with acceler... | {
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"The code quality check fails, saying `src/transformers/models/llama/convert_llama_weights_to_hf.py` needs to be reformatted, but I'm not sure which part is problematic.",
"`make style` should automatically reformat it! Also could the history is a bit messed up, recommending you to merge and force push! ",
"Yes... | 1,706 | 1,707 | 1,707 | CONTRIBUTOR | null | This PR fixes issue #28241 related the config of llama which has max_position_embeddings=2048 by default since this was the case for llama1, but the newest version llama2 should have max_position_embeddings=4096 by default, hence the fix.
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"Opened a PR which leverages [PyTorchModelHubMixin](https://huggingface.co/docs/huggingface_hub/package_reference/mixins#huggingface_hub.PyTorchModelHubMixin) on the original repo: https://github.com/TonyLianLong/CrossMAE/pull/2"
] | 1,706 | 1,706 | null | CONTRIBUTOR | null | ### Model description
Hey,
the recently released [CrossMAE](https://crossmae.github.io/) seems like it would be a nice addition to transformers.
Basically the model improves MAE by using Cross-Attention instead of Self-Attention on the tokens and thereby decreasing the needed FLOPS quite significantly. At the same... | {
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### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in the `example... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_28751). 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 | Fixes Typo in TMBD to TMDB (for "TheMovieDatabase")
## 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-p... | {
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"> Thanks! Won't this default to `max_new_tokens=20` that is set in generate if the arg is not passed?\r\n\r\nI am not sure about this.\r\n\r\nI didn't manage to find what exact place the limitation of `max_new_token `<= 192 comes from. If we look at the tool level, each separate tool (model) has its own limitatio... | 1,706 | 1,708 | null | NONE | null | Committer: Darya Petrashka <dashacheb15@gmail.com>
# What does this PR do?
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Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of yo... | {
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https://api.github.com/repos/huggingface/transformers/issues/28749 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28749/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28749/comments | https://api.github.com/repos/huggingface/transformers/issues/28749/events | https://github.com/huggingface/transformers/issues/28749 | 2,104,111,121 | I_kwDOCUB6oc59ajAR | 28,749 | combining feature from two pre-train model in transformer then passing them into a classifer | {
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"Hi @Arwa491, 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."
] | 1,706 | 1,706 | null | NONE | null | I'm trying to extract the feature using two different per-train models combine these features in one vector and then pass this vector into a classifier for a final classification
is that possible using hugging face pre-train models , because i already trained the model on my data and uploaded them into hugging face | {
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https://api.github.com/repos/huggingface/transformers/issues/28748 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28748/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28748/comments | https://api.github.com/repos/huggingface/transformers/issues/28748/events | https://github.com/huggingface/transformers/issues/28748 | 2,104,076,485 | I_kwDOCUB6oc59aajF | 28,748 | RuntimeError: CUDA error: device-side assert triggered | {
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"I would recommend you to set `CUDA_LAUNCH_BLOCKING=1` and add a breakpoint to see where this is happening. Usually at the embedding layer, when the tokenizer has an extra token and the vocab was not resized π€ "
] | 1,706 | 1,706 | null | NONE | null | ### System Info
``` YAML
OS: Windows 11
Driver Version: 532.09
CUDA Version: 12.1
bitsandbytes: 0.42.0
transformers: 4.37.1
trl: 0.7.10
torch: 2.1.0+cu121
peft: 0.7.1
optimum: 1.16.2
einops: 0.7.0
```
I am using Google Colab T4 GPU for fine tuniing `mistralai/Mistral-7B-v0.1` in custom dataset
###... | {
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https://api.github.com/repos/huggingface/transformers/issues/28747 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28747/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28747/comments | https://api.github.com/repos/huggingface/transformers/issues/28747/events | https://github.com/huggingface/transformers/issues/28747 | 2,104,070,205 | I_kwDOCUB6oc59aZA9 | 28,747 | In the RoPE paper they don't compute actual softmax | {
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"Ok I guess that's because they implement a linear attention."
] | 1,706 | 1,706 | 1,706 | NONE | null | Is this a feature or a bug?
https://github.com/huggingface/transformers/blob/03cc17775b961d16cc4d0d7ab0c8487120d0b708/src/transformers/models/llama/modeling_llama.py#L429C9-L429C22
In RoPE paper equation 19: https://arxiv.org/pdf/2104.09864.pdf they don't compute the actual softmax.
Best,
Chris | {
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https://api.github.com/repos/huggingface/transformers/issues/28746 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28746/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28746/comments | https://api.github.com/repos/huggingface/transformers/issues/28746/events | https://github.com/huggingface/transformers/pull/28746 | 2,104,069,320 | PR_kwDOCUB6oc5lQEes | 28,746 | Resolve DeepSpeed cannot resume training with PeftModel | {
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"hiii, any feedback are welcome, I waiting to a new version to use instead of a fork version or give me feedback if my pr having any issues. many thanks @pacman100 @muellerzr ",
"Nice! Assuming this works, really excited for it to get merged in, as I've had this issue with checkpoints.\r\n\r\nQuick one - it looks... | 1,706 | 1,706 | 1,706 | CONTRIBUTOR | null | Hi all,
I found an issue about resume ft **PeftModel** with **DeepSpeed** while I using `accelerate launch` to follow [zephyr-7b-beta recipes](https://github.com/huggingface/alignment-handbook/tree/c74ed111710d57f563cfbf1806cfb8f07dd3dc67/recipes/zephyr-7b-beta) with **qlora**.
In details, the process will be cras... | {
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https://api.github.com/repos/huggingface/transformers/issues/28745 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28745/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28745/comments | https://api.github.com/repos/huggingface/transformers/issues/28745/events | https://github.com/huggingface/transformers/issues/28745 | 2,103,603,552 | I_kwDOCUB6oc59YnFg | 28,745 | Pydantic V2 support | {
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"Hi @FanaticPythoner, thanks for opening this feature request! \r\n\r\nPydantic v2 is supported on the development branch c.f. #28728 #27933 \r\n\r\nTo use, install from source: `pip install git+https://github.com/huggingface/transformers`\r\n",
"Great thank you. Is there an ETA for the next release?",
"The sch... | 1,706 | 1,706 | null | NONE | null | ### Feature request
Please migrate to the latest Pydantic version.
### Motivation
The current library appears to be incompatible with Pydantic Version 2. I find that being able to utilize new features, such as the `model_dump` function, would be highly beneficial. This function is particularly useful for ensuring ro... | {
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https://api.github.com/repos/huggingface/transformers/issues/28744 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28744/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28744/comments | https://api.github.com/repos/huggingface/transformers/issues/28744/events | https://github.com/huggingface/transformers/issues/28744 | 2,103,444,751 | I_kwDOCUB6oc59YAUP | 28,744 | Handling offload when calling AutoModelForCausalLM.from_pretrained() | {
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"Hi @YourSaDady, thanks for raising this issue! \r\n\r\nIf the program is killed when using `offload_folder` it would indicate that you're hitting OOM. If you look at your GPU memory utilization - `watch -n1 nvidia-smi` - and your CPU utilization e.g. with`top` are you able to see these topping out when loading the... | 1,706 | 1,706 | null | NONE | null | ### System Info
Transformers version: 4.33.3
Python version: 3.9.18
Platform: Win11 WSL
### Who can help?
_No response_
### Information
- [x] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [x] My own ... | {
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https://api.github.com/repos/huggingface/transformers/issues/28743 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28743/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28743/comments | https://api.github.com/repos/huggingface/transformers/issues/28743/events | https://github.com/huggingface/transformers/issues/28743 | 2,103,112,940 | I_kwDOCUB6oc59WvTs | 28,743 | when running rag example, errors in the 'generating train split' step (wiki_dpr.py) | {
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"Hi @kiehls90, thanks for raising an issue! \r\n\r\nThe scripts under `research_examples` aren't actively maintained. If a dataset is very large, you can try [streaming it](https://huggingface.co/docs/datasets/stream) instead of downloading the whole thing. "
] | 1,706 | 1,706 | null | NONE | null | ### System Info
I'm trying to run a rag example, and the dataset is wiki_dpr.
wiki_dpr download and extracting have been completed successfully.
However, at the generating train split stage, an error from wiki_dpr.py keeps popping up.
Especially in "_generate_examples" :
1. The following error occurs in the li... | {
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https://api.github.com/repos/huggingface/transformers/issues/28742 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28742/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28742/comments | https://api.github.com/repos/huggingface/transformers/issues/28742/events | https://github.com/huggingface/transformers/issues/28742 | 2,103,109,910 | I_kwDOCUB6oc59WukW | 28,742 | safetensors_rust.SafetensorError: Error while deserializing header: InvalidHeaderDeserialization | {
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"Hi @tamanna-mostafa π \r\n\r\nYou'll have to help us figure out what's wrong: can you get us a short and reproducible script that showcases the issue on the `transformers` size? I see two exceptions in your pasted code, one about `text-generation-inference` and another about `safetensors`",
"@gante \r\nThanks f... | 1,706 | 1,707 | 1,707 | NONE | null | ### System Info
transformers version: 4.35.2
Platform: Linux-5.15.0-1050-aws-x86_64-with-glibc2.31
Python version: 3.10.12
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 (Tru... | {
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https://api.github.com/repos/huggingface/transformers/issues/28741 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28741/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28741/comments | https://api.github.com/repos/huggingface/transformers/issues/28741/events | https://github.com/huggingface/transformers/pull/28741 | 2,103,022,287 | PR_kwDOCUB6oc5lM8q8 | 28,741 | Fix input data file extension in examples | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_28741). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | 1,706 | 1,707 | 1,706 | CONTRIBUTOR | null | Ensure that the input data file extension is set correctly when running example scripts without specifying a training data file. | {
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- `transformers` version: 4.37.1
- Platform: Linux-6.2.0-32-generic-x86_64-with-glibc2.37
- Python version: 3.10.12
- Huggingface_hub version: 0.20.3
- Safetensors version: 0.4.2
- Accelerate version: 0.26.1
- Accelerate config: not found
- PyTorch version (GPU?): 2.1.2+cu121 (True)
- Tensorfl... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_28739). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"Hmm not sure why the test is failing with `ERROR dummy.py - AttributeError: 'HfDoc... | 1,706 | 1,706 | 1,706 | MEMBER | null | This PR adds some updates to the backbone docs:
- have API references for `AutoBackbone`, `BackboneConfig`, `BackboneConfigMixin`, `TimmBackbone`, and `TimmBackboneConfig` in the docs so users can easily check them out
- include a list of supported backbones
- break up and move the content into `autoclass_tutorial... | {
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"cc @ArthurZucker "
] | 1,706 | 1,706 | null | NONE | null | ### Feature request
Similar to how model parameter and optimizer offload is supported using the [deepspeed library](https://github.com/huggingface/transformers/blob/de13a951b38b85195984164819f1ab05fe508677/docs/source/en/perf_train_gpu_one.md#deepspeed-zero), are there plans for natively supporting KV cache offloadi... | {
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https://api.github.com/repos/huggingface/transformers/issues/28737 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28737/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28737/comments | https://api.github.com/repos/huggingface/transformers/issues/28737/events | https://github.com/huggingface/transformers/pull/28737 | 2,102,788,555 | PR_kwDOCUB6oc5lMJSq | 28,737 | [`Siglip`] protect from imports if sentencepiece not installed | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_28737). 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 | COLLABORATOR | null | # What does this PR do?
Complement to #28636.
Mistake on my part - when testing importing from top level `from transformers import *`, environment was running on different python / site packages that originally thought (sentence piece was installed) covering up these requirements.
| {
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I just added some changes to make it work with Llama.
I will add a test to show the usage of this and why this is needed for the DS-Inference to work. | {
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https://api.github.com/repos/huggingface/transformers/issues/28735 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28735/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28735/comments | https://api.github.com/repos/huggingface/transformers/issues/28735/events | https://github.com/huggingface/transformers/pull/28735 | 2,102,606,842 | PR_kwDOCUB6oc5lLhh5 | 28,735 | [Flax] Update no init test for Flax v0.7.1 | {
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"cc @ArthurZucker for possible up-coming Flax model additions",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_28735). 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 | # What does this PR do?
PR to unblock new model additions in Flax. As of version 0.7.1, Flax defaults to returning regular dictionaries with the methods .init and .apply, not frozen dictionaries as was the case before: https://github.com/google/flax/discussions/3191.
This means our "no automatic init" method retu... | {
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https://api.github.com/repos/huggingface/transformers/issues/28734 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28734/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28734/comments | https://api.github.com/repos/huggingface/transformers/issues/28734/events | https://github.com/huggingface/transformers/pull/28734 | 2,102,554,379 | PR_kwDOCUB6oc5lLWGc | 28,734 | Wrap Keras methods to support BatchEncoding | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_28734). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"This has now been rebased following the tf-keras PR, will merge once the CI is gre... | 1,706 | 1,706 | 1,706 | MEMBER | null | One last Keras PR before I go back to chat templates - a recurring annoyance that I (and the forum users) have always had with our Keras models is that our tokenizers output `BatchEncoding` by default, which behaves like a mixed dict/list. Keras doesn't understand this at all and fails to handle it when passed to `fit(... | {
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https://api.github.com/repos/huggingface/transformers/issues/28733 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28733/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28733/comments | https://api.github.com/repos/huggingface/transformers/issues/28733/events | https://github.com/huggingface/transformers/pull/28733 | 2,102,544,063 | PR_kwDOCUB6oc5lLT4w | 28,733 | Fix `DepthEstimationPipeline`'s docstring | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_28733). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"Thanks @Wauplin Will update it (along with `top_k` too maybe!)",
"FYI:\r\n\r\nAl... | 1,706 | 1,706 | 1,706 | COLLABORATOR | null | # What does this PR do?
Fix #28729 | {
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https://api.github.com/repos/huggingface/transformers/issues/28732 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28732/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28732/comments | https://api.github.com/repos/huggingface/transformers/issues/28732/events | https://github.com/huggingface/transformers/issues/28732 | 2,102,510,335 | I_kwDOCUB6oc59UcL_ | 28,732 | Output logits differ for the same input text in a batch of size 1 with half precision on GPU | {
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"This seems like a duplicate of https://github.com/huggingface/transformers/issues/25420#issuecomment-1775317535 ",
"Yeah, it is. Thanks"
] | 1,706 | 1,706 | null | NONE | null | ### System Info
Linux 20.04.1-Ubuntu x86_64 GNU/Linux
Python 3.10.12
transformers==4.37.1
torch==2.1.2+cu121
GPU A100
NVIDIA-SMI 525.147.05 Driver Version: 525.147.05 CUDA Version: 12.0
### Who can help?
@ArthurZucker
### Information
- [ ] The official example scripts
- [X] My own modified scripts
##... | {
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https://api.github.com/repos/huggingface/transformers/issues/28731 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28731/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28731/comments | https://api.github.com/repos/huggingface/transformers/issues/28731/events | https://github.com/huggingface/transformers/issues/28731 | 2,102,480,997 | I_kwDOCUB6oc59UVBl | 28,731 | torch.bfloat16 inference failed with RuntimeError: cutlassF: no kernel found to launch! | {
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"Hi @VINUK0, thanks for raising this issue! \r\n\r\nI believe this is a torch and hardware issue, rather than something in the transformers library. \r\n\r\nOther people have reported issues between torch and sdp, when loading in bf16 on T4. See [this issue](https://github.com/Lightning-AI/lit-gpt/issues/327) and [... | 1,706 | 1,706 | 1,706 | NONE | null | ### System Info
***[Environment Information]***
*GPU :* `Nvidia T4 (15GB)`
*Python Version:* `3.10.12`
*Pytorch Version :* `2.1.1 (CUDA 12.1 | 11.8) [Both same results.]`
*Transformers Version :* `4.37.1`
*Accelerate Version :* `0.26.1`
*Optimum Version:* `1.16.2`
*Bitsandbytes:* `0.42.0`
***[Task Informat... | {
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https://api.github.com/repos/huggingface/transformers/issues/28730 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28730/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28730/comments | https://api.github.com/repos/huggingface/transformers/issues/28730/events | https://github.com/huggingface/transformers/issues/28730 | 2,102,472,373 | I_kwDOCUB6oc59US61 | 28,730 | Freely Long-Thinking Transformer (FraiLT) | {
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"HeyΒ @akbayt. Thanks a lot for opening this new model request and contributing to the HF ecosystem!Β π€\r\nWe have recently been trying to push forΒ `model on the hub`Β and have as much support as we can there. It will also be easier to integrate it. Here is aΒ [tutorial](https://huggingface.co/docs/transformers/custom... | 1,706 | 1,706 | null | NONE | null | ### Model description
Hi!
I am the author of the following study:
https://arxiv.org/abs/2401.11626
I want to add this model to π€ transformers.
Implementation is in progress... π¨βπ»
*Abstract:*
Freely Long-Thinking Transformer (FraiLT) is an improved transformer model designed to enhance processing ... | {
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"Thanks @osanseviero ! Indeed, will open a PR to fix this"
] | 1,706 | 1,706 | 1,706 | MEMBER | null | The docstring is a paste from the image classification pipeline it seems https://github.com/huggingface/transformers/blob/main/src/transformers/pipelines/depth_estimation.py#L54-L83 . The correct output, as per https://huggingface.co/docs/transformers/main/tasks/monocular_depth_estimation, should be a dictionary with a... | {
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https://api.github.com/repos/huggingface/transformers/issues/28728 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28728/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28728/comments | https://api.github.com/repos/huggingface/transformers/issues/28728/events | https://github.com/huggingface/transformers/pull/28728 | 2,102,214,135 | PR_kwDOCUB6oc5lKMGs | 28,728 | Unpin pydantic | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_28728). 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 | COLLABORATOR | null | # What does this PR do?
Unpin pydantic as no failure anymore (CircleCI, docker image build).
Fix #27933 | {
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https://api.github.com/repos/huggingface/transformers/issues/28727 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28727/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28727/comments | https://api.github.com/repos/huggingface/transformers/issues/28727/events | https://github.com/huggingface/transformers/pull/28727 | 2,102,090,556 | PR_kwDOCUB6oc5lJxWz | 28,727 | Fix typo of `Block`. | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_28727). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"Nice catch on checking on GH !",
"Sounds good to me, added.",
"BTW why 4.40?\r... | 1,706 | 1,706 | 1,706 | CONTRIBUTOR | null | Models:
- text models: @ArthurZucker and @younesbelkada
Was introduced in:
- https://github.com/huggingface/transformers/pull/27942 | {
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https://api.github.com/repos/huggingface/transformers/issues/28726 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28726/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28726/comments | https://api.github.com/repos/huggingface/transformers/issues/28726/events | https://github.com/huggingface/transformers/issues/28726 | 2,102,067,406 | I_kwDOCUB6oc59SwDO | 28,726 | Correct way for Wav2vec2 feature extraction from huggingface like Fairseq | {
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"cc @sanchit-gandhi @ylacombe "
] | 1,706 | 1,706 | null | NONE | null | ### System Info
- `transformers` version: 4.36.2
- Platform: Linux-6.2.0-37-generic-x86_64-with-glibc2.35
- Python version: 3.10.13
- Huggingface_hub version: 0.20.2
- Safetensors version: 0.4.1
- Accelerate version: not installed
- Accelerate config: not found
- PyTorch version (GPU?): 2.1.0+cu121 (True)
- Te... | {
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https://api.github.com/repos/huggingface/transformers/issues/28725 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28725/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28725/comments | https://api.github.com/repos/huggingface/transformers/issues/28725/events | https://github.com/huggingface/transformers/pull/28725 | 2,102,030,424 | PR_kwDOCUB6oc5lJkLz | 28,725 | Fix `weights_only` | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_28725). 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 | COLLABORATOR | null | # What does this PR do?
The changes in #28506 is incorrect, and after that we still have issue with torch < 1.13. This PR fixes the issue in a correct way.
Fix #28720 | {
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https://api.github.com/repos/huggingface/transformers/issues/28724 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28724/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28724/comments | https://api.github.com/repos/huggingface/transformers/issues/28724/events | https://github.com/huggingface/transformers/pull/28724 | 2,101,948,592 | PR_kwDOCUB6oc5lJTCc | 28,724 | Fix symbolic_trace with kv cache | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_28724). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"Thank you @amyeroberts, added a test that fails on the current `main` due to the c... | 1,706 | 1,706 | 1,706 | COLLABORATOR | null | We should NOT trace models with 0-shaped concrete metas as we otherwise miss https://github.com/huggingface/transformers/blob/bb6aa8bc5ff8537f58c4b6ac80611101ba556226/src/transformers/modeling_attn_mask_utils.py#L162-L163 in the captured graph. | {
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https://api.github.com/repos/huggingface/transformers/issues/28723 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28723/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28723/comments | https://api.github.com/repos/huggingface/transformers/issues/28723/events | https://github.com/huggingface/transformers/issues/28723 | 2,101,847,913 | I_kwDOCUB6oc59R6dp | 28,723 | `UserWarning: TypedStorage is deprecated.` on loading `pytorch_model.bin` files from disk. | {
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"Hi @tomaarsen, thanks for raising this! \r\n\r\nIndeed, this shouldn't be happening. Looking into it",
"Looking into it, this a consequence of https://github.com/huggingface/transformers/pull/27282 - when `weights_only=True`, then [_legacy_load is used by torch to load the state dict](https://github.com/pytorch/... | 1,706 | 1,707 | null | MEMBER | null | ### System Info
- `transformers` version: 4.37.1
- Platform: Windows-10-10.0.22631-SP0
- Python version: 3.9.17
- Huggingface_hub version: 0.20.2
- Safetensors version: 0.4.2
- Accelerate version: 0.21.0
- Accelerate config: not found
- PyTorch version (GPU?): 2.1.2+cu121 (True)
- Tensorflow version (GPU?... | {
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https://api.github.com/repos/huggingface/transformers/issues/28722 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28722/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28722/comments | https://api.github.com/repos/huggingface/transformers/issues/28722/events | https://github.com/huggingface/transformers/issues/28722 | 2,101,830,611 | I_kwDOCUB6oc59R2PT | 28,722 | AWQ models including activation as previous operation seems broken | {
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transformer==4.37.0
autoawq==0.16.0
### Who can help?
@SunMarc @younesbelkada
### Information
- [ ] The official example scripts
- [X] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [X] My own task or data... | {
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https://api.github.com/repos/huggingface/transformers/issues/28721 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28721/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28721/comments | https://api.github.com/repos/huggingface/transformers/issues/28721/events | https://github.com/huggingface/transformers/issues/28721 | 2,101,804,893 | I_kwDOCUB6oc59Rv9d | 28,721 | Load an EncoderDecoderModel as AutoModel | {
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"Hi @Bachstelze, thanks for raising an issue! \r\n\r\nThe `EncoderDecoder` models are composite models which use `AutoModel` to load the encoder and decoder respectively. As per [the BertGeneration docs](https://github.com/huggingface/transformers/blob/bbe30c6968c66bc77f7f1f246e64743d74419770/docs/source/en/model_d... | 1,706 | 1,706 | null | NONE | null | ### System Info
- `transformers` version: 4.35.0
- Platform: Linux-5.15.0-91-lowlatency-x86_64-with-glibc2.35
- Python version: 3.10.12
- Huggingface_hub version: 0.17.3
- Safetensors version: 0.4.0
- Accelerate version: 0.24.1
- Accelerate config: not found
- PyTorch version (GPU?): 2.1.2+cu121 (False)
- Ten... | {
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https://api.github.com/repos/huggingface/transformers/issues/28720 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28720/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28720/comments | https://api.github.com/repos/huggingface/transformers/issues/28720/events | https://github.com/huggingface/transformers/issues/28720 | 2,101,730,896 | I_kwDOCUB6oc59Rd5Q | 28,720 | Current version 4.37.1 only match torch>=1.13.0, not torch > 1.11 | {
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"cc @ydshieh ",
"Sorry, indeed, it's my bad\r\n\r\n#28506 didn't fix #27282 properly, I will open a PR",
"@StrivedTye Fix is merged. I tried it and it works. Let me know if you have further issue with this. Thanks for reporting the issue."
] | 1,706 | 1,706 | 1,706 | NONE | null | when using torch<1.13.0, current version (4.37.1) will report a OSError, because `torch.load()` in torch==1.12 does not has the keyword of `weights_only`. This issue occurs in the file `modeling_utils, Line 533`. | {
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https://api.github.com/repos/huggingface/transformers/issues/28719 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28719/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28719/comments | https://api.github.com/repos/huggingface/transformers/issues/28719/events | https://github.com/huggingface/transformers/pull/28719 | 2,101,656,110 | PR_kwDOCUB6oc5lIUOM | 28,719 | [`docs`] Update preprocessing.md | {
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"Hi @velaia, thanks for contributing to improving our docs! \r\n\r\nCould you combine the changes in the PR with the others in #28718? ",
"Hi @amyeroberts , combining was what I originally had in mind but didn't know how. I think I did it somehow by making the changes in my fork of the repo. Can you check pls?",
... | 1,706 | 1,706 | 1,706 | CONTRIBUTOR | null | adjust ImageProcessor link to working target (same as in lower section of file)
# What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/28718 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28718/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28718/comments | https://api.github.com/repos/huggingface/transformers/issues/28718/events | https://github.com/huggingface/transformers/pull/28718 | 2,101,633,403 | PR_kwDOCUB6oc5lIPa8 | 28,718 | Update preprocessing.md | {
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# What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/28717 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28717/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28717/comments | https://api.github.com/repos/huggingface/transformers/issues/28717/events | https://github.com/huggingface/transformers/pull/28717 | 2,101,603,477 | PR_kwDOCUB6oc5lIJQO | 28,717 | Initialize _tqdm_active with hf_hub_utils.are_progress_bars_disabled(β¦ | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_28717). 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 | # What does this PR do?
β¦) to respect HF_HUB_DISABLE_PROGRESS_BARS
It seems like enable_progress_bar() and disable_progress_bar() sync up with huggingface_hub, but the initial value is always True. This changes will make sure the user's preference is respected implicity on initialization.
## Before submittin... | {
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https://api.github.com/repos/huggingface/transformers/issues/28716 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28716/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28716/comments | https://api.github.com/repos/huggingface/transformers/issues/28716/events | https://github.com/huggingface/transformers/issues/28716 | 2,101,597,907 | I_kwDOCUB6oc59Q9bT | 28,716 | PermissionError occurs when calling Trainer.trainer using transformers | {
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"Hi @Mickls, thanks for raising this issue! \r\n\r\nA fix was merged in #28637. Could you try installing transformers from source and see if this resolves the issue for you? \r\n\r\n`pip install git+https://github.com/huggingface/transformers`",
"> Hi @Mickls, thanks for raising this issue!\r\n> \r\n> A fix was m... | 1,706 | 1,706 | null | NONE | null | ### System Info
- `transformers` version: 4.37.1
- Platform: Windows-10-10.0.22631-SP0
- Python version: 3.10.13
- Huggingface_hub version: 0.20.3
- Safetensors version: 0.4.2
- Accelerate version: 0.26.1
- Accelerate config: not found
- PyTorch version (GPU?): 2.1.0+cu121 (True)
- Tensorflow version (GPU?)... | {
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https://api.github.com/repos/huggingface/transformers/issues/28715 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28715/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28715/comments | https://api.github.com/repos/huggingface/transformers/issues/28715/events | https://github.com/huggingface/transformers/pull/28715 | 2,101,332,854 | PR_kwDOCUB6oc5lHXhs | 28,715 | [docs] Fix datasets in guides | {
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https://api.github.com/repos/huggingface/transformers/issues/28714 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28714/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28714/comments | https://api.github.com/repos/huggingface/transformers/issues/28714/events | https://github.com/huggingface/transformers/issues/28714 | 2,101,234,552 | I_kwDOCUB6oc59Pkt4 | 28,714 | Models with a sentencepiece tokenizers have problems with special tokens and encode decode | {
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"#26678 fixed this, I can't push everything to the hub but Llama tokenizer will have a fix soon. \r\nThis is a duplicate of #26455",
"Thank you for all the hard work @ArthurZucker, closing this issue then!"
] | 1,706 | 1,706 | 1,706 | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.35.2
- Platform: Linux-6.1.58+-x86_64-with-glibc2.35
- Python version: 3.10.12
- Huggingface_hub version: 0.20.3
- Safetensors version: 0.4.1
- Accelerate version: not installed
- Accelerate config: not found
- PyTorch version (GPU?): 2.1.0+cu121 (False)
- Tensorflow... | {
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https://api.github.com/repos/huggingface/transformers/issues/28713 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28713/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28713/comments | https://api.github.com/repos/huggingface/transformers/issues/28713/events | https://github.com/huggingface/transformers/pull/28713 | 2,100,928,500 | PR_kwDOCUB6oc5lGAZA | 28,713 | Add FlashAttention2 for XLM-RoBERTa | {
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"@DavidAfonsoValente Thanks for opening a PR and adding FA2 for this model! Let us know when the PR is ready to be reviewed π€ ",
"> @DavidAfonsoValente Thanks for opening a PR and adding FA2 for this model! Let us know when the PR is ready to be reviewed π€\r\n\r\nThanks! I believe it's ready to be reviewed.",
... | 1,706 | 1,707 | null | NONE | null | # What does this PR do?
<!--
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https://api.github.com/repos/huggingface/transformers/issues/28712 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28712/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28712/comments | https://api.github.com/repos/huggingface/transformers/issues/28712/events | https://github.com/huggingface/transformers/pull/28712 | 2,100,919,565 | PR_kwDOCUB6oc5lF-gR | 28,712 | Stop confusing the TF compiler with ModelOutput objects | {
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"@amyeroberts sorry, let me explain what I meant with the model output being 'used'!\r\n\r\nThe issue occurs when the main `BlipModel` calls the `BlipText` sub-model, and the sub-model returns a `ModelOutput` which the main `BlipModel` reads values from. As far as I can tell, the issue does **not** arise if the `Bl... | 1,706 | 1,706 | 1,706 | MEMBER | null | The `test_saved_model_creation` test was failing for BLIP with the rather unusual symptom that the `loss` key of one of the intermediate outputs had transformed into a strange generator object. I still don't know **why** this happened, but it requires the following:
1) TF compilation (doesn't happen in eager mode)
... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_28711). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | 1,706 | 1,708 | null | CONTRIBUTOR | null | # What does this PR do?
This PR aims at a better control on the logic flow through `Processor` classes, in particular those leveraging `ImageProcessor` with a `Tokenizer`. Linked with #27768.
`ImageProcessors` compared to `Nougat` (as a reference point) have different signatures in their preprocess. One can list... | {
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https://api.github.com/repos/huggingface/transformers/issues/28710 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28710/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28710/comments | https://api.github.com/repos/huggingface/transformers/issues/28710/events | https://github.com/huggingface/transformers/pull/28710 | 2,100,865,170 | PR_kwDOCUB6oc5lFyww | 28,710 | Flass attention 2 for xml roberta | {
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https://api.github.com/repos/huggingface/transformers/issues/28709 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28709/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28709/comments | https://api.github.com/repos/huggingface/transformers/issues/28709/events | https://github.com/huggingface/transformers/pull/28709 | 2,100,726,140 | PR_kwDOCUB6oc5lFUmE | 28,709 | Don't fail when `LocalEntryNotFoundError` during `processor_config.json` loading | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_28709). 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 | COLLABORATOR | null | # What does this PR do?
Fix #28697. | {
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https://api.github.com/repos/huggingface/transformers/issues/28708 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28708/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28708/comments | https://api.github.com/repos/huggingface/transformers/issues/28708/events | https://github.com/huggingface/transformers/pull/28708 | 2,100,722,330 | PR_kwDOCUB6oc5lFTx2 | 28,708 | Fixed nll with label_smoothing to just nll | {
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"@younesbelkada ,\r\nCan you please review the changes? ",
"@younesbelkada ,\r\nI rebased and resolved the conflict. I hope its a right way, or else let me know.",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_28708). All of your documentation changes will be reflec... | 1,706 | 1,708 | 1,708 | CONTRIBUTOR | null | # What does this PR do?
This PR fixes #28167 by making label_smoothing= 0 .
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https://api.github.com/repos/huggingface/transformers/issues/28707 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28707/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28707/comments | https://api.github.com/repos/huggingface/transformers/issues/28707/events | https://github.com/huggingface/transformers/issues/28707 | 2,100,555,786 | I_kwDOCUB6oc59M_AK | 28,707 | MixTral 8*7B GPU Memory usage keeps increasing during inference | {
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"Hi @oroojlooy, thanks for raising this issue! \r\n\r\nI believe there's an accumulation of gradients happening due to the multiple forward passes on the model. \r\n\r\nPutting the pipeline calls in the `torch.no_grad` context should help:\r\n\r\n```py\r\nwith torch.no_grad():\r\n outputs = self.pipeline(prompt,... | 1,706 | 1,707 | null | NONE | null | ### System Info
- `transformers` version: 4.36.0
- Platform: Linux-5.4.17-2136.323.8.2.el7uek.x86_64-x86_64-with-glibc2.17
- Python version: 3.11.0
- Huggingface_hub version: 0.20.3
- Safetensors version: 0.4.2
- Accelerate version: 0.26.1
- Accelerate config: not found
- PyTorch version (GPU?): 2.1.2+cu12... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_28706). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | 1,706 | 1,707 | null | COLLABORATOR | null | # What does this PR do?
Using a N-GRAM based language-model on top of Wav2Vec2-based models is an easy way to get a performance boost. At the moment, Wav2Vec2ProcessorWithLM was only compatible with Wav2Vec2FeatureExtractor.
W2V2-Bert could also benefit from this boost, but need its feature extractor to also be c... | {
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https://api.github.com/repos/huggingface/transformers/issues/28705 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28705/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28705/comments | https://api.github.com/repos/huggingface/transformers/issues/28705/events | https://github.com/huggingface/transformers/pull/28705 | 2,100,266,371 | PR_kwDOCUB6oc5lDw6c | 28,705 | [Docs] Add resources | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_28705). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | 1,706 | 1,708 | 1,708 | CONTRIBUTOR | null | # What does this PR do?
This PR adds some more resources regarding various models. | {
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https://api.github.com/repos/huggingface/transformers/issues/28704 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28704/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28704/comments | https://api.github.com/repos/huggingface/transformers/issues/28704/events | https://github.com/huggingface/transformers/issues/28704 | 2,100,171,431 | I_kwDOCUB6oc59LhKn | 28,704 | FalconForCausalLM does not support Flash Attention 2.0 yet | {
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"Hi @menouarazib, thanks for raising this issue! \r\n\r\nThis is because the model being loading with this checkpoint, is from [code on the hub](https://huggingface.co/tiiuae/falcon-7b/blob/main/modeling_falcon.py) -- [mapping here](https://huggingface.co/tiiuae/falcon-7b/blob/898df1396f35e447d5fe44e0a3ccaaaa69f30d... | 1,706 | 1,706 | 1,706 | NONE | null | I attempted to use Flash Attention with the Falcon-7B model, but encountered the following error: **ValueError: FalconForCausalLM does not support Flash Attention 2.0 yet.**
This error was raised by the transformers/modeling_utils.py:
```
if not cls._supports_flash_attn_2:
raise ValueError(
f"{cls.... | {
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https://api.github.com/repos/huggingface/transformers/issues/28703 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28703/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28703/comments | https://api.github.com/repos/huggingface/transformers/issues/28703/events | https://github.com/huggingface/transformers/pull/28703 | 2,100,153,707 | PR_kwDOCUB6oc5lDYOa | 28,703 | [DO NOT MERGE] Hf quantizer refactor | {
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"Do you see possibility of people mixing and matching different quantization params or even different quantizers? Use cases:\r\n- less compression in MLP vs attention\r\n- wild mix of methods to get that extra 1/1000s of perplexity\r\n\r\nIf supported, what should be the way? \r\n1) from_pretrained() calling the ri... | 1,706 | 1,706 | 1,706 | CONTRIBUTOR | null | # What does this PR do?
Built on top of https://github.com/huggingface/transformers/pull/26610 - this PR is just to see if I don't any surprising diff similar as in https://github.com/poedator/transformers/pull/4 | {
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https://api.github.com/repos/huggingface/transformers/issues/28702 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28702/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28702/comments | https://api.github.com/repos/huggingface/transformers/issues/28702/events | https://github.com/huggingface/transformers/issues/28702 | 2,100,102,165 | I_kwDOCUB6oc59LQQV | 28,702 | Numpy version check failures | {
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"Hi @Iron-Bound, thanks for raising this issue! \r\n\r\nWhat do you get as output if you import numpy and check the version in a python session? \r\n\r\n```py\r\nimport numpy as np\r\nprint(np.__version__)\r\n```",
"let me try to find the container taht I had the issue on, side note I think this may be due to con... | 1,706 | 1,707 | 1,707 | NONE | null | ### System Info
latest docker container from `rocm/pytorch`
### Packages pip/conda
numpy 1.26.3
transformers 4.37.1
peft 0.7.1
accelerate 0.26.1
### Error
Python 3.9.18 (main, Sep 11 2023, 13:41:44) ... | {
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https://api.github.com/repos/huggingface/transformers/issues/28701 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28701/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28701/comments | https://api.github.com/repos/huggingface/transformers/issues/28701/events | https://github.com/huggingface/transformers/issues/28701 | 2,100,041,061 | I_kwDOCUB6oc59LBVl | 28,701 | HfArgumentParser does not match exact arguments | {
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"Hi @ahmedkooli, thanks for raising this issue! \r\n\r\nDigging into this, it seems this is coming from argparser itself, and is due to [this line](https://github.com/python/cpython/blob/d2da4e417ed9e6217e925e1df2820a2bf090efb3/Lib/argparse.py#L2325). As the option `text_column_names` starts with `text_column_na` a... | 1,706 | 1,706 | null | NONE | null | ### System Info
- `transformers` version: 4.35.2
- Platform: macOS-14.1.1-arm64-arm-64bit
- Python version: 3.11.0
- Huggingface_hub version: 0.19.4
- Safetensors version: 0.4.0
- Accelerate version: 0.24.1
- Accelerate config: not found
- PyTorch version (GPU?): 2.1.0 (False)
### Who can help?
_No respons... | {
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https://api.github.com/repos/huggingface/transformers/issues/28700 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28700/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28700/comments | https://api.github.com/repos/huggingface/transformers/issues/28700/events | https://github.com/huggingface/transformers/pull/28700 | 2,100,030,420 | PR_kwDOCUB6oc5lC9Ek | 28,700 | Fixed interpolation for ViT to BICUBIC as the original implementation⦠| {
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"I do not know why the repo-consistency and setup_and_quality is failing. I think I broke compatibility for ViT I guess. @NielsRogge any clue? "
] | 1,706 | 1,706 | null | CONTRIBUTOR | null |
# What does this PR do?
This PR fixes the default interpolation mismatch between the hugging face library and the original implementation - as the original implementation uses BICUBIC by default but the hugging face default was BILINEAR
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https://api.github.com/repos/huggingface/transformers/issues/28699 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28699/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28699/comments | https://api.github.com/repos/huggingface/transformers/issues/28699/events | https://github.com/huggingface/transformers/pull/28699 | 2,099,992,832 | PR_kwDOCUB6oc5lC02h | 28,699 | fix: corrected misleading log message in save_pretrained function | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_28699). 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 | # What does this PR do?
This PR extends the fix implemented in a previous PR ([#28181](https://github.com/huggingface/transformers/pull/28181)), covering all cases where the saved file name might differ from the expected `WEIGHTS_NAME`. The earlier fix did not account for scenarios where the saved file could be name... | {
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https://api.github.com/repos/huggingface/transformers/issues/28698 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28698/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28698/comments | https://api.github.com/repos/huggingface/transformers/issues/28698/events | https://github.com/huggingface/transformers/issues/28698 | 2,099,901,347 | I_kwDOCUB6oc59KfOj | 28,698 | WhitespaceSplit not working | {
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"cc @ArthurZucker - possibly an issue for the tokenizers library?",
"I am not sure I have ever seen the `pretokenizer` argument π
\r\nYou should do `tokenizer._tokenizer.pre_tokenizer = Whitespace()`",
"@ArthurZucker \r\ncan you show me the full code, please?\r\n\r\nI am getting this error\r\n```\r\nModuleNotF... | 1,706 | 1,706 | null | NONE | null | ### System Info
torch==2.0.1
transformers==4.37.1
tokenizers==0.15.1
Python 3.8.16
### Who can help?
_No response_
### Information
- [X] The official example scripts
- [ ] My own modified scripts
### Tasks
- [X] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- ... | {
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https://api.github.com/repos/huggingface/transformers/issues/28697 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28697/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28697/comments | https://api.github.com/repos/huggingface/transformers/issues/28697/events | https://github.com/huggingface/transformers/issues/28697 | 2,099,883,324 | I_kwDOCUB6oc59Ka08 | 28,697 | Bug happens in processor use model cached in local | {
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"Hi @wwx007121, thanks for raising an issue! \r\n\r\nCould you give some more details about exactly the bug that is occurring i.e. the error being encountered (including full traceback) and a minimal code snippet to reproduce the issue? \r\n\r\ncc @ydshieh ",
"> Hi @wwx007121, thanks for raising an issue!\r\n> \r... | 1,706 | 1,706 | 1,706 | NONE | null | ### System Info
version: transformers>=4.37.0
bug occurs in https://github.com/huggingface/transformers/blob/main/src/transformers/processing_utils.py ,line 466
I understand the purpose of this codeοΌ but this creats a conflict occurred with code in 'utils/hub.py line 426' that the error detail descriptions may ... | {
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https://api.github.com/repos/huggingface/transformers/issues/28696 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28696/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28696/comments | https://api.github.com/repos/huggingface/transformers/issues/28696/events | https://github.com/huggingface/transformers/pull/28696 | 2,099,856,257 | PR_kwDOCUB6oc5lCXll | 28,696 | Add French translation: french README.md | {
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"Hello,\r\n\r\nThanks @stevhliu and @Sarapuce for the review. I have fixed every remark. \r\n\r\nSeems good to go :+1: ",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_28696). All of your documentation changes will be reflected on that endpoint. The docs are available ... | 1,706 | 1,706 | 1,706 | CONTRIBUTOR | null | # What does this PR do?
Add the French version of README.md
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
## Who can review?
Anyone in the community is free to review the PR once the tests have passed. Feel free to tag
members/c... | {
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https://api.github.com/repos/huggingface/transformers/issues/28695 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28695/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28695/comments | https://api.github.com/repos/huggingface/transformers/issues/28695/events | https://github.com/huggingface/transformers/pull/28695 | 2,099,803,282 | PR_kwDOCUB6oc5lCMJK | 28,695 | [`chore`] Add missing space in warning | {
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Adds a missing space in a warning message.
## Before submitting
- [x] This PR fixes a typo or improves the docs
## Who can review?
@amyeroberts
- Tom Aarsen
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https://api.github.com/repos/huggingface/transformers/issues/28694 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28694/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28694/comments | https://api.github.com/repos/huggingface/transformers/issues/28694/events | https://github.com/huggingface/transformers/pull/28694 | 2,099,760,344 | PR_kwDOCUB6oc5lCCwB | 28,694 | Update question_answering.md | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_28694). 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 | # What does this PR do?
fix typo:
from:
"model = TFAutoModelForQuestionAnswering("distilbert-base-uncased")"
to:
model = TFAutoModelForQuestionAnswering.from_pretrained("distilbert-base-uncased")
<!--
Congratulations! You've made it this far! You're not quite done yet though.
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https://api.github.com/repos/huggingface/transformers/issues/28693 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28693/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28693/comments | https://api.github.com/repos/huggingface/transformers/issues/28693/events | https://github.com/huggingface/transformers/pull/28693 | 2,099,623,383 | PR_kwDOCUB6oc5lBkyx | 28,693 | Added code to match the default interpolation for convnext | {
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This PR fixes the default interpolation type for Convnext to bicubic based on the original implementation . Also it adds assert in the image_processing_convnext_pytorch.py
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https://api.github.com/repos/huggingface/transformers/issues/28692 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28692/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28692/comments | https://api.github.com/repos/huggingface/transformers/issues/28692/events | https://github.com/huggingface/transformers/pull/28692 | 2,099,512,869 | PR_kwDOCUB6oc5lBNct | 28,692 | Verify if output has logits or prediction logits in fill-mask pipeline | {
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"Maybe we should have a different error message for these models?"
] | 1,706 | 1,706 | null | CONTRIBUTOR | null | # What does this PR do?
It checks if the output has the key "logits" or "prediction_logits" to avoid breaking the fill-mask pipeline for some models like BertForPreTraining that returns:
```
return BertForPreTrainingOutput(
loss=total_loss,
prediction_logits=prediction_scores,
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https://api.github.com/repos/huggingface/transformers/issues/28691 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28691/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28691/comments | https://api.github.com/repos/huggingface/transformers/issues/28691/events | https://github.com/huggingface/transformers/issues/28691 | 2,099,511,128 | I_kwDOCUB6oc59I_9Y | 28,691 | error with DataCollatorForLanguageModeling | {
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"Hey π€ 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!"
] | 1,706 | 1,706 | 1,706 | NONE | null | ### System Info
- `transformers` version: 4.36.2
- Platform: Linux-3.10.0-1160.99.1.el7.x86_64-x86_64-with-glibc2.17
- Python version: 3.10.13
- 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+cu121 (True... | {
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https://api.github.com/repos/huggingface/transformers/issues/28690 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28690/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28690/comments | https://api.github.com/repos/huggingface/transformers/issues/28690/events | https://github.com/huggingface/transformers/issues/28690 | 2,099,443,948 | I_kwDOCUB6oc59Ivjs | 28,690 | Running into AttributeErrorAttributeError from 4.37.0 | {
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"Seems related to this recent change. https://github.com/huggingface/transformers/pull/28447",
"Found the PT commit adding this interface. https://github.com/pytorch/pytorch/commit/df14650f0b14b80db132b0c1797dc595fbee1054\r\n\r\nThis is only added in PT 2.0. PT 1.13.1 does not have it. https://github.com/pytorch/... | 1,706 | 1,706 | 1,706 | NONE | null | ### System Info
Only happens from 4.37.0
```
- `transformers` version: 4.37.0
- Platform: Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.31
- Python version: 3.10.12
- Huggingface_hub version: 0.20.3
- Safetensors version: 0.4.2
- Accelerate version: 0.26.1
- Accelerate config: not found
- PyTorch ... | {
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https://api.github.com/repos/huggingface/transformers/issues/28689 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28689/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28689/comments | https://api.github.com/repos/huggingface/transformers/issues/28689/events | https://github.com/huggingface/transformers/issues/28689 | 2,099,408,215 | I_kwDOCUB6oc59Im1X | 28,689 | safetensors_rust.SafetensorError: Error while deserializing header: InvalidHeaderDeserialization | {
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"Hi @tamanna-mostafa, thanks for raising an issue! \r\n\r\nBased on the error message, it looks as though the weights for the peft file are corrupted or possibly empty. Outside of the script, are you able to run the following: \r\n\r\n```py\r\nfrom peft import PeftModel \r\n\r\nmodel = PeftModel.from_pretrained(\"/... | 1,706 | 1,706 | null | NONE | null | ### System Info
- `transformers` version: 4.35.2
- Platform: Linux-5.15.0-1050-aws-x86_64-with-glibc2.31
- Python version: 3.10.12
- 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)
- Tensorf... | {
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https://api.github.com/repos/huggingface/transformers/issues/28688 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28688/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28688/comments | https://api.github.com/repos/huggingface/transformers/issues/28688/events | https://github.com/huggingface/transformers/issues/28688 | 2,099,400,046 | I_kwDOCUB6oc59Ik1u | 28,688 | OSError: /data/DPO_output_mistral_32k does not appear to have a file named config.json. | {
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"Hi @tamanna-mostafa, thanks for raising this issue! \r\n\r\nCould you list the files saved under `/data/DPO_output_mistral_32k`? ",
"@amyeroberts \r\nHi, thanks for your comment. Below is what I see when I run `ls `in the folder, `DPO_output_mistral_32k` :\r\n```\r\nubuntu@ip-172-31-8-218:/mnt/efs/data/tammosta/... | 1,706 | 1,707 | null | NONE | null | ### System Info
- `transformers` version: 4.35.2
- Platform: Linux-5.15.0-1050-aws-x86_64-with-glibc2.31
- Python version: 3.10.12
- 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)
- Tensorf... | {
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https://api.github.com/repos/huggingface/transformers/issues/28687 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28687/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28687/comments | https://api.github.com/repos/huggingface/transformers/issues/28687/events | https://github.com/huggingface/transformers/pull/28687 | 2,099,153,324 | PR_kwDOCUB6oc5lAAa8 | 28,687 | [Whisper] Refactor forced_decoder_ids & prompt ids | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_28687). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"Still need to make sure that \"Whisper default language detection behavior\" stays... | 1,706 | 1,706 | 1,706 | MEMBER | null | # What does this PR do?
This PR refactors `forced_decoder_ids` making sure that we now always pass prompted ids as `decoder_input_ids` into generate for Whisper. The whole idea of forcing ids instead of just passing them as initial tokens was a bad design choice and we should try to move away from it.
In addition... | {
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https://api.github.com/repos/huggingface/transformers/issues/28686 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28686/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28686/comments | https://api.github.com/repos/huggingface/transformers/issues/28686/events | https://github.com/huggingface/transformers/pull/28686 | 2,099,095,224 | PR_kwDOCUB6oc5k_zd4 | 28,686 | Enable Gradient Checkpointing in Deformable DETR | {
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"Note that fix-copies made changes to DETA model because it has the \"# copied from\" comments over methods taken from Deformable DETR. If we don't want to change that model, we could instead remove those comments and revert the changes to that file.",
"Hi @FoamoftheSea, thanks for working on this!\r\n\r\nThere's... | 1,706 | 1,706 | 1,706 | CONTRIBUTOR | null | # What does this PR do?
Gradient Checkpointing is not currently supported by Deformable DETR, but with slight modifications I was able to get it working in both the encoder and decoder stages, which both independently led to noticeable reductions in VRAM usage during training. This makes a default Deformable DETR co... | {
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https://api.github.com/repos/huggingface/transformers/issues/28685 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28685/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28685/comments | https://api.github.com/repos/huggingface/transformers/issues/28685/events | https://github.com/huggingface/transformers/issues/28685 | 2,099,080,596 | I_kwDOCUB6oc59HW2U | 28,685 | torch.arange use should not use dtype=float for integer ranges, conflicts w/ DS `zero.Init()` | {
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"Code instances where this either definitely a concern, or likely (depending on ranges involved).\r\nhttps://github.com/huggingface/transformers/blob/8278b1538ecc89dad8ebca510a31a86bc8645edb/src/transformers/models/llama/modeling_llama.py#L130-L131\r\nhttps://github.com/huggingface/transformers/blob/8278b1538ecc89d... | 1,706 | 1,706 | null | NONE | null | ### System Info
Impacts many versions of transformers up to and including current.
### Who can help?
@ArthurZucker @amyeroberts
### Information
- [ ] The official example scripts
- [X] My own modified scripts
### Tasks
- [X] An officially supported task in the `examples` folder (such as GLUE/SQuA... | {
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https://api.github.com/repos/huggingface/transformers/issues/28684 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28684/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28684/comments | https://api.github.com/repos/huggingface/transformers/issues/28684/events | https://github.com/huggingface/transformers/pull/28684 | 2,098,841,913 | PR_kwDOCUB6oc5k-7oe | 28,684 | [docs] Fix doc format | {
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"@cohml \r\nhave you tried adding the `disable_tqdm` parameter to your `TrainingArguments` ? \r\n\r\nyou can read more about it here : https://huggingface.co/docs/transformers/v4.37.1/en/main_classes/trainer#transformers.TrainingArguments.disable_tqdm",
"Oh man, that's exactly what I was after! Thanks so much @no... | 1,706 | 1,706 | 1,706 | NONE | null | ### Feature request
When training a transformer model with `transformers` - certainly using the `Trainer.train` API but probably also with other methods as well - a `tqdm`-style progress bar is printed to the screen.
This is very useful when monitoring training in the terminal in real time. But it really messes up ... | {
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"Before merge, I will change all workflow files that use `notification_service.py`",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_28682). 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 | COLLABORATOR | null | # What does this PR do?
When our (actual) CI workflow files are called using `workflow_call` event by other workflows files, the job names will be concatenated like `Nightly CI / Model Test (models/bert, single-gpu)`.
We currently have Nightly/Past/AMD CI using `workflow_call`. We will soon have to use it for dai... | {
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https://api.github.com/repos/huggingface/transformers/issues/28681 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28681/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28681/comments | https://api.github.com/repos/huggingface/transformers/issues/28681/events | https://github.com/huggingface/transformers/pull/28681 | 2,098,331,447 | PR_kwDOCUB6oc5k9L1D | 28,681 | Add back in generation types | {
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"@amyeroberts uhmmm, I didn't think anyone would be importing these auxiliary types π€ \r\n\r\nHow can we deprecate a type variable? I have no idea how to throw a warning if a user uses it as a type :D ",
"@gante Hyrum's law strikes again! I didn't think they'd be used either, which is partly why I wasn't checki... | 1,706 | 1,706 | 1,706 | COLLABORATOR | null | # What does this PR do?
#28494 removed some custom types in the `generation.utils` module. This has caused downstream issues in other libraries, notably Coqui-TTS c.f #28649
This PR adds them back in so they're still importable.
cc @gante for reference when you're back | {
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https://api.github.com/repos/huggingface/transformers/issues/28680 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28680/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28680/comments | https://api.github.com/repos/huggingface/transformers/issues/28680/events | https://github.com/huggingface/transformers/pull/28680 | 2,098,278,568 | PR_kwDOCUB6oc5k9ATB | 28,680 | fix: readme | {
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https://api.github.com/repos/huggingface/transformers/issues/28679 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28679/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28679/comments | https://api.github.com/repos/huggingface/transformers/issues/28679/events | https://github.com/huggingface/transformers/issues/28679 | 2,098,184,627 | I_kwDOCUB6oc59D8Gz | 28,679 | GPT2 after few finetune epochs starts to generate sequence of only EOS tokens | {
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"Hi, 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.",
"@amyeroberts \r\nOk, thank you \r\n(sorry)",
"![vvvvvvvvv](https://github.com/huggingface/transformers/assets/36... | 1,706 | 1,706 | null | NONE | null | ### System Info
I get output like this:
<|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|>
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [x] My own modified scripts
### Tasks
- [ ] An officially supported task in the `e... | {
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https://api.github.com/repos/huggingface/transformers/issues/28678 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28678/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28678/comments | https://api.github.com/repos/huggingface/transformers/issues/28678/events | https://github.com/huggingface/transformers/pull/28678 | 2,098,138,688 | PR_kwDOCUB6oc5k8hsy | 28,678 | use scaled_dot_product_attention | {
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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/28677 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28677/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28677/comments | https://api.github.com/repos/huggingface/transformers/issues/28677/events | https://github.com/huggingface/transformers/issues/28677 | 2,097,482,345 | I_kwDOCUB6oc59BQpp | 28,677 | Cannot find checkpoint during Trainer._load_best_model when using deepspeed | {
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"Closing this.\r\n\r\nThe docs are clear that the issue is [save_only_model](https://huggingface.co/docs/transformers/main_classes/trainer#transformers.TrainingArguments.save_only_model): `Note that when this is true, you wonβt be able to resume training from checkpoint`.\r\n\r\nIt would be nice to have a version o... | 1,706 | 1,706 | 1,706 | NONE | null | ### System Info
```
- `transformers` version: 4.37.0
- Platform: Linux-6.2.0-1017-aws-x86_64-with-glibc2.35
- Python version: 3.10.12
- Huggingface_hub version: 0.20.3
- Safetensors version: 0.4.2
- Accelerate version: 0.23.0
- Accelerate config: not found
- PyTorch version (GPU?): 2.1.2+cu121 (False)
- ... | {
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https://api.github.com/repos/huggingface/transformers/issues/28676 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28676/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28676/comments | https://api.github.com/repos/huggingface/transformers/issues/28676/events | https://github.com/huggingface/transformers/pull/28676 | 2,097,473,712 | PR_kwDOCUB6oc5k6P-N | 28,676 | fix(tokenization): `encode` should remove leading batch axis for all types of single batch to keep consistent. | {
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"Hi @ArthurZucker, as we discussed in issue #28635, instead of let `encode` directly support multiple batches, this PR is main to fix the error of existing behaviour for a single batch. Let's call this as the first step for achieving your plan.",
"I may have few questions for the next step of your plan to depreca... | 1,706 | 1,707 | 1,706 | CONTRIBUTOR | null | # What does this PR do?
`encode` should remove leading batch axis for all types to keep consistent with `decode` method.
Fixes #28635
## 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](http... | {
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- `transformers` version: 4.36.2
- Platform: Linux-5.4.0-164-generic-x86_64-with-glibc2.31
- Python version: 3.10.11
- Huggingface_hub version: 0.20.2
- Safetensors version: 0.4.1
- Accelerate version: 0.26.1
- Accelerate config: not found
- PyTorch version (GPU?): 2.0.1 (True)
- Tensorflow ... | {
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https://api.github.com/repos/huggingface/transformers/issues/28674 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28674/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28674/comments | https://api.github.com/repos/huggingface/transformers/issues/28674/events | https://github.com/huggingface/transformers/issues/28674 | 2,097,305,722 | I_kwDOCUB6oc59Alh6 | 28,674 | Can not execute example in idefics-9b-instruct | {
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"Hi @ppsmk388, thanks for raising an issue! \r\n\r\nI'm able to load the processor without issue. As the error indicates, this might be due to a connection issue. Could you re-run and try again? ",
"Thank you, it is a network problem",
"@ppsmk388 Thanks for confirming! "
] | 1,706 | 1,706 | null | NONE | null | ### System Info
tokenizers-0.15.1
transformers-4.37.0
python3.8.10
Linux
### Who can help?
_No response_
### Information
- [X] The official example scripts
- [ ] My own modified scripts
### Tasks
- [X] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or datas... | {
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"Thanks for the PR! We are not super super fans of context managers for such things. TBH it's not that bad! cc @amyeroberts what's your take? \r\n",
"Thanks for adding this fix @gugarosa! \r\n\r\nI don't mind this too much, it's pretty clean and simple :) Let's get @younesbelkada's opinion on whether this will br... | 1,706 | 1,707 | null | CONTRIBUTOR | null | # What does this PR do?
Phi-2 has an attention overflow issue, and since the model weights were released with a MIT license, there is no short-term solution in replacing them (re-training the model). Therefore, the only solution we could find to cover all corner cases regarding the overflow, is to also disable the a... | {
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"Finally, the checkpoint got completed after 2 hours on an Instance with 8 TPU cores, 350GB RAM, and 98 vCPUs. I was wondering, how can I make it faster. I understand that the library download the model params from TPU to CPU, and then save them. \r\n\r\nAm I missing some params that can make it faster to take chec... | 1,706 | 1,707 | null | NONE | null | ### System Info
- `transformers` version: 4.36.2
- Platform: Linux-5.15.0-89-generic-x86_64-with-glibc2.35
- Python version: 3.9.18
- 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+cu118 (True)
- Tensorfl... | {
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"Hi @sam-h-bean, thanks for raising an issue! \r\n\r\nSo that we can best help you, can you make sure to follow the [issue template](https://github.com/huggingface/transformers/blob/main/.github/ISSUE_TEMPLATE/bug-report.yml) and include all important information such as: \r\n* The running environment: run `transfo... | 1,706 | 1,706 | 1,706 | CONTRIBUTOR | null | ### System Info
transformers: latest
env: ray + deepspeed on k8s
There seems to be an issue with Mixtral on the latest transformers release that manifests like
```
RuntimeError: Detected mismatch between collectives on ranks. Rank 4 is running collective:
CollectiveFingerPrint(SequenceNumber=724883, OpType=_... | {
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"Hello, you mentioned that:\r\n>The directory for the saved model is ./saved/ and the file contents are config.json generation_config.json model-00001-of-00002.safetensors model-00002-of-00002.safetensors model.safetensors model.safetensors.index.json \r\n\r\nthere does not seem to be any tokenizer files here... | 1,706 | 1,706 | 1,706 | NONE | null | ### System Info
**I promise you this issue isn't as long as it seems.** (It's long because I included a lot of context below just in case it was needed)
Hello! I fine-tuned a the gpt2-xl model on some custom data and saved the model. The directory for the saved model is `./saved/` and the file contents are `confi... | {
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https://api.github.com/repos/huggingface/transformers/issues/28669 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/28669/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/28669/comments | https://api.github.com/repos/huggingface/transformers/issues/28669/events | https://github.com/huggingface/transformers/pull/28669 | 2,096,778,888 | PR_kwDOCUB6oc5k37a3 | 28,669 | Use save_safetensor to disable safe serialization for XLA | {
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"@amyeroberts @muellerzr @Narsil will you be able to back-port to 4.37? This is needed for Neuron SDK."
] | 1,706 | 1,706 | 1,706 | CONTRIBUTOR | null | # What does this PR do?
Safetensor serialization is now default but not yet supported by XLA. This change uses save_safetensor argument to disable safe serialization for XLA as a workaround until XLA catches up.
Fixes # (issue)
https://github.com/huggingface/transformers/issues/28438
## Before submitting
- [... | {
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This PR adds a W2V2-Bert training example config to the CTC folder. This might be a bit light, I can add another training config example on TIMIT or turkish CV tomorrow if needed.
cc @sanchit-gandhi
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"Hi @mbaak π Thank you for opening the PR π€ \r\n\r\nI haven't seen a request for this feature (or I have no recollection of it). Personally, I am also not very convinced that it is very useful -- at the end of the day, the model will select the next token _after_ applying the logits processors, if there are any.... | 1,706 | 1,708 | 1,708 | CONTRIBUTOR | null | # What does this PR do?
output_logits option behaves like output_scores, but returns the raw, unprocessed prediction logit scores, ie. the values before they undergo logit processing and/or warping. The latter happens by default for the regular output scores.
It's useful to have the unprocessed logit scores in ce... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_28666). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"@amyeroberts I don't have write access in this repository, can you merge this? ",
... | 1,706 | 1,706 | 1,706 | CONTRIBUTOR | null | I improved the wording of the Backbone API docs and added a new illustration. | {
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EDIT: Throwing in a quick fix to the nearby `input_signature` docstring while I'm here | {
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"@amyeroberts tests finally pass after losing my mind on imports π ",
"Hi @muellerzr , could you please get this PR merged? We need the PR to get the accelerate test on TPU v3 to succeed again. Thanks.",
"As a general note, immediately after the next accelerate release I'll make a follow-up PR utilizing the co... | 1,706 | 1,708 | 1,707 | CONTRIBUTOR | null | # What does this PR do?
This PR centralizes all arguments for the `Accelerator` not covered by `fsdp_config` and `deepspeed_config` into a singular dataclass that users can pass in as a json file or through raw CLI param args.
I *think* I have the CLI args configured right? But I'm not 100% sure. Advice on how to... | {
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"Hi, 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."
] | 1,706 | 1,706 | null | NONE | null | ### Feature request
stopping criteria in model.generate() when a certain word appear
The word I need to stop the generation when found is : [/SENTENCE]
But the model doesn't generate the word itself, instead, it generates the subwords
[ [/,SEN,TE,NC,E] ]
like this .
corresponding ids from the tokenizer ar... | {
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"Would recommend you to check this #26724 and try the solution, might be that or if the saving does not work, concurrency there. Code was recently changed cc @muellerzr π€ "
] | 1,706 | 1,706 | null | NONE | null | ### System Info
**Env**
```
- `transformers` version: 4.38.0.dev0
- Platform: Linux-5.4.0-1043-gcp-x86_64-with-glibc2.31
- Python version: 3.10.0
- Huggingface_hub version: 0.20.3
- Safetensors version: 0.4.2
- Accelerate version: 0.26.1
- Accelerate config: not found
- PyTorch version (GPU?): 2.1.2+cu121 ... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_28661). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"@ArthurZucker This is just internal. We still want to be able to load a backbone f... | 1,706 | 1,706 | 1,706 | COLLABORATOR | null | # What does this PR do?
Uses `load_backbone` in place of `AutoBackbone.from_config` in the modeling files. This is the first part of a series of changes to enable loading timm or transformers models with the same call i.e. removing the if/else structure [we see in models like DETR](https://github.com/huggingface/tra... | {
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