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https://api.github.com/repos/huggingface/transformers/issues/24315 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24315/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24315/comments | https://api.github.com/repos/huggingface/transformers/issues/24315/events | https://github.com/huggingface/transformers/issues/24315 | 1,760,134,393 | I_kwDOCUB6oc5o6YT5 | 24,315 | CUDA out of memory when use DistillBert for inference and use hidden_state as input_embeds | {
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"Hi @TOP-RX, \r\n\r\nA few things from first looking at your script: \r\n\r\n* tokenizers already work on batches. There's no need to pass line by line and then concatenate\r\n\r\n```python\r\nencoder_inputs = tokenizer(node_text_list, max_length=32, truncation=True, return_tensors=\"pt\")\r\ninput_ids = encoder_in... | 1,686 | 1,690 | 1,690 | NONE | null | ### System Info
transformer: 4.24.0
python: 3.8.13
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [X] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [X] My own task or dataset (give details below)
#... | {
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https://api.github.com/repos/huggingface/transformers/issues/24314 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24314/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24314/comments | https://api.github.com/repos/huggingface/transformers/issues/24314/events | https://github.com/huggingface/transformers/issues/24314 | 1,759,975,827 | I_kwDOCUB6oc5o5xmT | 24,314 | Device control characters lead to an error in average NER aggregation | {
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"cc @Narsil @ArthurZucker ",
"Created a fix PR."
] | 1,686 | 1,687 | 1,687 | NONE | null | ### System Info
Python 3.8.10, transformers versions tried: 4.30.1 and 4.30.2. Tried in a Docker container with Linux Ubuntu 20.04 and on Google Colab.
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [X] My own modified scripts
### Tasks
- [ ] An officially supported task in ... | {
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https://api.github.com/repos/huggingface/transformers/issues/24313 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24313/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24313/comments | https://api.github.com/repos/huggingface/transformers/issues/24313/events | https://github.com/huggingface/transformers/issues/24313 | 1,759,958,299 | I_kwDOCUB6oc5o5tUb | 24,313 | Deepspeed ZeRO2 + Trainer does not resume training after evaluation | {
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"When I killed the process, it gives the log \r\n\r\n```\r\n^[[A^[[A^[[A^[[A^[[A^C[2023-06-16 08:32:00,972] [INFO] [launch.py:318:sigkill_handler] Killing subprocess 1947071\r\nTraceback (most recent call last):\r\n File \"/home/users/industry/dso/lannliat/.local/bin/deepspeed\", line 6, in <module>\r\n[2023-06-16... | 1,686 | 1,688 | 1,688 | NONE | null | ### System Info
- `transformers` version: 4.30.2
- Platform: Linux-4.18.0-305.25.1.el8_4.x86_64-x86_64-with-glibc2.35
- Python version: 3.10.6
- Huggingface_hub version: 0.15.1
- Safetensors version: 0.3.1
- PyTorch version (GPU?): 2.0.0 (False)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (... | {
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https://api.github.com/repos/huggingface/transformers/issues/24312 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24312/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24312/comments | https://api.github.com/repos/huggingface/transformers/issues/24312/events | https://github.com/huggingface/transformers/pull/24312 | 1,759,703,885 | PR_kwDOCUB6oc5TJH9T | 24,312 | Add stride/chunking to `TextClassificationPipeline` | {
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"I happened to implement this for another project, so I went straight to implementing a PR here (skipping opening an issue) to see if this would be a desirable feature for HF. I realized after opening this PR that I haven't finished updating the docstrings where appropriate.\r\n\r\nI could also use some guidance on... | 1,686 | 1,690 | 1,690 | CONTRIBUTOR | null | # What does this PR do?
Adds sliding window/chunking functionality to `TextClassificationPipeline` (similar to what #21771 did for `TokenClassificationPipeline`).
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [c... | {
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https://api.github.com/repos/huggingface/transformers/issues/24311 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24311/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24311/comments | https://api.github.com/repos/huggingface/transformers/issues/24311/events | https://github.com/huggingface/transformers/pull/24311 | 1,759,679,692 | PR_kwDOCUB6oc5TJC1q | 24,311 | Update MMS integration docs | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thanks for the doc updates @vineelpratap!"
] | 1,686 | 1,687 | 1,687 | CONTRIBUTOR | null | # What does this PR do?
Current MMS documentation is only focused on ASR. Update the doc to show examples for TTS, LID.
cc. @patrickvonplaten @sanchit-gandhi
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https://api.github.com/repos/huggingface/transformers/issues/24310 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24310/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24310/comments | https://api.github.com/repos/huggingface/transformers/issues/24310/events | https://github.com/huggingface/transformers/pull/24310 | 1,759,509,793 | PR_kwDOCUB6oc5TIebP | 24,310 | Tied weights load | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,686 | 1,687 | 1,686 | COLLABORATOR | null | # What does this PR do?
This continue cleaning up a bit the model loading by:
1. Using the new `_tied_weight_keys` class variable when deleting weights without warning for safetensors serialization
2. Fix the logic that deletes tied params in missing keys and add a test (which fails on main)
3. As discussed inter... | {
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https://api.github.com/repos/huggingface/transformers/issues/24309 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24309/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24309/comments | https://api.github.com/repos/huggingface/transformers/issues/24309/events | https://github.com/huggingface/transformers/issues/24309 | 1,759,338,302 | I_kwDOCUB6oc5o3V8- | 24,309 | saving model fails with deepspeed | {
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"Run it on 2 or more GPUs and it is working as expected.\r\n<img width=\"1439\" alt=\"Screenshot 2023-06-16 at 7 08 58 AM\" src=\"https://github.com/huggingface/transformers/assets/13534540/d2ed6d49-886a-4798-a493-81d1984b1f39\">\r\n",
"So, the issue is that the model isn't getting wrapped in DeepSpeedEngine whe... | 1,686 | 1,686 | 1,686 | NONE | null | ### System Info
System Info
transformers v4.30.0
python 3.8
There is a bug [here](https://github.com/huggingface/transformers/blob/0b7b4429c78de68acaf72224eb6dae43616d820c/src/transformers/trainer.py#LL2257C59-L2257C59), No `PretrainedModel` does not have `save_checkpoint` method.
Error trace
```
Traceback... | {
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https://api.github.com/repos/huggingface/transformers/issues/24308 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24308/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24308/comments | https://api.github.com/repos/huggingface/transformers/issues/24308/events | https://github.com/huggingface/transformers/issues/24308 | 1,759,177,733 | I_kwDOCUB6oc5o2uwF | 24,308 | TypeError: cannot pickle 'module' object | {
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"cc @sgugger ",
"It is possible that either of those callbacks (MlFlow or Azure) is inserting something in the state that cannot be serialized with `pickle`. We do not maintain those integrations ourselves, so I suggest you ping the author of the callback making your code fail (after trying to remove one or the o... | 1,686 | 1,690 | 1,690 | NONE | null | ### System Info
transformers: 4.30.0
platform: Ubuntu 20.04.6 LTS x86_64
python: 3.8.5
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [X] My own modified scripts
### Tasks
- [X] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [X] My own ... | {
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https://api.github.com/repos/huggingface/transformers/issues/24307 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24307/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24307/comments | https://api.github.com/repos/huggingface/transformers/issues/24307/events | https://github.com/huggingface/transformers/pull/24307 | 1,759,156,623 | PR_kwDOCUB6oc5THSk6 | 24,307 | Update test versions on README.md | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thanks, @sgugger. This is my first successful contribution to an open-source project."
] | 1,686 | 1,687 | 1,686 | CONTRIBUTOR | null | # What does this PR do?
Hi @sgugger @amyeroberts ,
I have raised this PR is raised to improve the docs by updating the test versions mentioned in the README.md file. I have referred to the setup.py file to update it. It is related to issue #24263. I have followed the recommended documentation format as advised. ... | {
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https://api.github.com/repos/huggingface/transformers/issues/24306 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24306/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24306/comments | https://api.github.com/repos/huggingface/transformers/issues/24306/events | https://github.com/huggingface/transformers/pull/24306 | 1,759,002,041 | PR_kwDOCUB6oc5TGxyb | 24,306 | Explicit arguments in `from_pretrained` | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"TODO:\r\n - for TF/Flax model `from_pretrained`\r\n - for tokenizer/processors\r\n - for auto",
"@sgugger Would be nice if you can take a quick look 🙏 . And do you want me to deal with all framework (TF/Flax), tokenizer/processor,... | 1,686 | 1,687 | 1,687 | COLLABORATOR | null | # What does this PR do?
[still incomplete]
Need to apply the same changes to other files containing `from_pretrained` (other framework, other classes like config, processor, auto, etc.) but @sgugger let me know if I am not lost already in the early stage. | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,686 | 1,687 | 1,687 | CONTRIBUTOR | null | # What does this PR do?
Adds AutoModel for text encoding (used in the circumstance when you want to extract the text encoder from an encoder-decoder architecture).
This facilitates loading a t5 encoder from t5 enc-dec model weights (as is done in Music Gen in #24109) | {
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https://api.github.com/repos/huggingface/transformers/issues/24304 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24304/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24304/comments | https://api.github.com/repos/huggingface/transformers/issues/24304/events | https://github.com/huggingface/transformers/issues/24304 | 1,758,840,352 | I_kwDOCUB6oc5o1cYg | 24,304 | SpikeGPT | {
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"Hi @thistleknot, thanks for opening this feature request. \r\n\r\nJust skimming the repo, my understanding is that SpikeGPT already has a set of pretrained weights available. \r\n\r\nIf you (or someone else) would like to make this model available through the transformers API, the easiest and fastest way is to add... | 1,686 | 1,690 | null | NONE | null | ### Feature request
Extract the spiking nature of the LLM and port that [set] of features over for training/inference,.
https://github.com/ridgerchu/SpikeGPT
### Motivation
the benefits would result in more efficient computational costs (x22 reduction).
### Your contribution
I am willing to test, trace down bu... | {
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https://api.github.com/repos/huggingface/transformers/issues/24303 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24303/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24303/comments | https://api.github.com/repos/huggingface/transformers/issues/24303/events | https://github.com/huggingface/transformers/issues/24303 | 1,758,751,755 | I_kwDOCUB6oc5o1GwL | 24,303 | RuntimeError: You must initialize the accelerate state by calling either `PartialState()` or `Accelerator()` before using the logging utility. | {
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"Could you share your accelerate version ? Might be outdated: https://github.com/huggingface/accelerate/issues/835",
"> Could you share your accelerate version ? Might be outdated: [huggingface/accelerate#835](https://github.com/huggingface/accelerate/issues/835)\r\n\r\n0.20.3",
"@sgugger maybe for input ? Seem... | 1,686 | 1,687 | 1,687 | NONE | null | ### System Info
- `transformers` version: 4.30.2
- Platform: Linux-5.15.107+-x86_64-with-glibc2.31
- Python version: 3.10.12
- Huggingface_hub version: 0.15.1
- Safetensors version: 0.3.1
- PyTorch version (GPU?): 2.0.1+cu118 (True)
- Tensorflow version (GPU?): 2.12.0 (True)
- Flax version (CPU?/GPU?/TPU?): 0.6... | {
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https://api.github.com/repos/huggingface/transformers/issues/24302 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24302/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24302/comments | https://api.github.com/repos/huggingface/transformers/issues/24302/events | https://github.com/huggingface/transformers/pull/24302 | 1,758,708,984 | PR_kwDOCUB6oc5TFyE8 | 24,302 | [Docs] Fix the paper URL for MMS model | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thanks for the quick review! @amyeroberts Would you please merge it?"
] | 1,686 | 1,686 | 1,686 | CONTRIBUTOR | null | # What does this PR do?
Fixes the paper link for the mms model, the wrong URL is for the paper `XLS-R: SELF-SUPERVISED CROSS-LINGUAL SPEECH REPRESENTATION LEARNING AT SCALE` not `Scaling Speech Technology to 1,000+ Languages`. | {
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https://api.github.com/repos/huggingface/transformers/issues/24301 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24301/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24301/comments | https://api.github.com/repos/huggingface/transformers/issues/24301/events | https://github.com/huggingface/transformers/pull/24301 | 1,758,690,902 | PR_kwDOCUB6oc5TFuIL | 24,301 | Fix functional TF Whisper and modernize tests | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Update: The test is still very slow in some cases in the CI. I'm going to mark it as `@slow` before merging this PR after all, but I'll leave it as-is for now so I can fix any issues it raises before merging.",
"Quick note: I marke... | 1,686 | 1,686 | 1,686 | MEMBER | null | There was a regression in 4.30 that affects functional construction of Whisper models in certain cases, my bad!
In an attempt to avoid this in future, I modified the `test_compile_tf_model` test. These tests were quite old and weren't that relevant for how we do things now, and were also quite slow. I pared the test... | {
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https://api.github.com/repos/huggingface/transformers/issues/24300 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24300/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24300/comments | https://api.github.com/repos/huggingface/transformers/issues/24300/events | https://github.com/huggingface/transformers/pull/24300 | 1,758,687,692 | PR_kwDOCUB6oc5TFtbG | 24,300 | [`SwitchTransformers`] Fix return values | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,686 | 1,686 | 1,686 | COLLABORATOR | null | # What does this PR do?
The previous version of the code would always return `None` values for the router losses, since the `if output_router_probs` was wrapper around `if labels is not None`. But router logits can still be computed wthout labels.
Also returns tensors instead of None, this follows our usual API, an... | {
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https://api.github.com/repos/huggingface/transformers/issues/24299 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24299/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24299/comments | https://api.github.com/repos/huggingface/transformers/issues/24299/events | https://github.com/huggingface/transformers/pull/24299 | 1,758,680,560 | PR_kwDOCUB6oc5TFr3l | 24,299 | Make `can_generate` as class method | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,686 | 1,686 | 1,686 | COLLABORATOR | null | # What does this PR do?
Make `can_generate` as class method, so we can check a model (class) can generate or not without loading/creating a model instance.
(The goal of this PR is not to address the issue regarding how to check `is_encoder`, `is_decoder` etc. discussed offline). | {
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https://api.github.com/repos/huggingface/transformers/issues/24298 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24298/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24298/comments | https://api.github.com/repos/huggingface/transformers/issues/24298/events | https://github.com/huggingface/transformers/pull/24298 | 1,758,645,149 | PR_kwDOCUB6oc5TFkNK | 24,298 | deepspeed init during eval fix | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thanks for working on this. I'm currently running into the same issue with V 4.30.2. Any idea when the the new V with this fix will be released?"
] | 1,686 | 1,688 | 1,686 | CONTRIBUTOR | null | # What does this PR do?
1. Fixes #24294 as DS Z2 and Z1 stages don't modify the model and the check was exhibiting wrong behaviour. | {
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https://api.github.com/repos/huggingface/transformers/issues/24297 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24297/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24297/comments | https://api.github.com/repos/huggingface/transformers/issues/24297/events | https://github.com/huggingface/transformers/pull/24297 | 1,758,586,403 | PR_kwDOCUB6oc5TFXP3 | 24,297 | Fix 'local_rank' AttiributeError in Trainer class | {
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"This works for me with python 3.10.12 (Google Colab runtime).",
"cc @muellerzr ",
"_The documentation is not available anymore as the PR was closed or merged._",
"Friendly ping @muellerzr "
] | 1,686 | 1,687 | 1,687 | CONTRIBUTOR | null | # What does this PR do?
This PR fixes `AttributeError: 'Trainer' object has no attribute 'local_rank'`.
Please see the discussion at https://github.com/huggingface/transformers/pull/23681 for details.
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that'... | {
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https://api.github.com/repos/huggingface/transformers/issues/24296 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24296/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24296/comments | https://api.github.com/repos/huggingface/transformers/issues/24296/events | https://github.com/huggingface/transformers/pull/24296 | 1,758,468,701 | PR_kwDOCUB6oc5TE9ZQ | 24,296 | [EnCodec] Changes for 32kHz ckpt | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,686 | 1,687 | 1,686 | CONTRIBUTOR | null | # What does this PR do?
Updates the EnCodec config and modelling code to allow two options for the residual connection in the Resnet block:
1. Pass the residual through a Conv1d
2. Apply the residual directly (identity)
=> this change is required to use the latest 32kHz EnCodec model in the Music Gen model (#24... | {
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"Hi @ArthurZucker , I want to try this, please assign it to me. Thanks.",
"Sure! Feel free to open a PR and ping me",
"@Swastyy @ArthurZucker Let me know if you are looking for any support. I would also like to help with this if possible. Thanks!",
"Seems like he did not link a PR, feel free to synch and ping... | 1,686 | 1,693 | null | COLLABORATOR | null | ### Feature request
Would be cool to add training support for the EnCodec model.
Not entirely sure if we can easily make it compatible with Trainer, so this can be a good second issue I think.
### Motivation
…
### Your contribution
… | {
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https://api.github.com/repos/huggingface/transformers/issues/24294 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24294/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24294/comments | https://api.github.com/repos/huggingface/transformers/issues/24294/events | https://github.com/huggingface/transformers/issues/24294 | 1,758,420,762 | I_kwDOCUB6oc5oz18a | 24,294 | Error during evaluation using deepspeed zero stage 2 | {
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"Hello, could you try the latest release and let us know if that resolves the issues?",
"Getting `ModuleNotFoundError: No module named 'funtuner'` when trying to run `python3 funtuner/trainer.py`",
"Hi @pacman100 , can you add the PYTHONPATH and try again? \r\n` export PYTHONPATH=\"${PYTHONPATH}:/your-path/Funt... | 1,686 | 1,686 | 1,686 | NONE | null | ### System Info
transformers v4.30.0
python 3.8
Training using `deepspeed stage zero 2` hit an error when in evaluation/prediction loop. Both prediction/evaluation initiate [deepspeed with inference=True] (https://github.com/huggingface/transformers/blob/6793f0cfe0006d7cedfb9b6081f55d9d38eae18a/src/transformers/tr... | {
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https://api.github.com/repos/huggingface/transformers/issues/24293 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24293/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24293/comments | https://api.github.com/repos/huggingface/transformers/issues/24293/events | https://github.com/huggingface/transformers/pull/24293 | 1,758,396,816 | PR_kwDOCUB6oc5TEt2B | 24,293 | [fix] bug in BatchEncoding.__getitem__ | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,686 | 1,686 | 1,686 | CONTRIBUTOR | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/24292 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24292/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24292/comments | https://api.github.com/repos/huggingface/transformers/issues/24292/events | https://github.com/huggingface/transformers/pull/24292 | 1,758,347,978 | PR_kwDOCUB6oc5TEjPP | 24,292 | [Docs] Improve docs for MMS loading of other languages | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,686 | 1,686 | 1,686 | MEMBER | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/24291 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24291/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24291/comments | https://api.github.com/repos/huggingface/transformers/issues/24291/events | https://github.com/huggingface/transformers/issues/24291 | 1,758,320,580 | I_kwDOCUB6oc5ozdfE | 24,291 | Cannot serialize Whisper decoder layer in a keras model | {
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"Hi @perretv yes, this looks like a regression. Investigating now, hopefully we can make a quick patch!",
"Hi @perretv, the fix has now been merged. You can `pip install git+https://github.com/huggingface/transformers.git` to install from `main` and use it immediately. It'll be included in the next 4.31 release o... | 1,686 | 1,686 | 1,686 | NONE | null | ### System Info
- `transformers` version: 4.30.2
- Platform: Linux-4.19.0-24-cloud-amd64-x86_64-with-glibc2.28
- Python version: 3.11.3
- Huggingface_hub version: 0.15.1
- Safetensors version: 0.3.1
- PyTorch version (GPU?): not installed (NA)
- Tensorflow version (GPU?): 2.12.0 (True)
- Flax version (CPU?/GPU?... | {
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https://api.github.com/repos/huggingface/transformers/issues/24290 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24290/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24290/comments | https://api.github.com/repos/huggingface/transformers/issues/24290/events | https://github.com/huggingface/transformers/issues/24290 | 1,757,956,294 | I_kwDOCUB6oc5oyEjG | 24,290 | [Agents] RuntimeError: Invalid device string: 'hakurei/waifu-diffusion' | {
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"Device_string is not looking good.\r\n\r\n@LysandreJik might know better than me where this is coming from.",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues that do ... | 1,686 | 1,689 | 1,689 | NONE | null | ### System Info
Hey!
I have encountered an issue in the `agents` extra where calling `load_tool()` with `model_repo_id=<sd checkpoint model id>` causes a `RuntimeError` to occur. It would appear that the repo id is being used as a device_id when using the `text-to-image` tool:
```
`text_config_dict` is provided... | {
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https://api.github.com/repos/huggingface/transformers/issues/24289 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24289/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24289/comments | https://api.github.com/repos/huggingface/transformers/issues/24289/events | https://github.com/huggingface/transformers/issues/24289 | 1,757,853,512 | I_kwDOCUB6oc5oxrdI | 24,289 | XLMProphetNet returning different results when using padding | {
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"Hey! Thanks for reporting! I think this is probably inherent to the model itself, but will see if theres a bug! Our integration tests don't cover this case, and seems like we don't have our common test for this model! ",
"No updates yet! @Rocketknight1 if you have time to look at this",
"Sorry for the delay - ... | 1,686 | 1,700 | 1,700 | NONE | null | ### System Info
- `transformers` version: 4.30.2
- Platform: Linux-5.10.102.1-microsoft-standard-WSL2-x86_64-with-glibc2.17
- Python version: 3.8.16
- Huggingface_hub version: 0.15.1
- Safetensors version: 0.3.1
- PyTorch version (GPU?): 2.0.1+cu117 (False)
### Who can help?
@ArthurZucker @patrickvonplaten
##... | {
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https://api.github.com/repos/huggingface/transformers/issues/24288 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24288/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24288/comments | https://api.github.com/repos/huggingface/transformers/issues/24288/events | https://github.com/huggingface/transformers/pull/24288 | 1,757,718,420 | PR_kwDOCUB6oc5TCbM_ | 24,288 | Beam search type | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Absolutely :)"
] | 1,686 | 1,686 | 1,686 | CONTRIBUTOR | null | # What does this PR do?
This PR fixes issue #22856 , which has a type mismatch between the returned value, and the type hinting in the BeamSeachScorer, process function. Previously the type hint was set to a Tuple which was inconsistent with the returned Dict value. I've changed them to be consistent and ran ... | {
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https://api.github.com/repos/huggingface/transformers/issues/24287 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24287/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24287/comments | https://api.github.com/repos/huggingface/transformers/issues/24287/events | https://github.com/huggingface/transformers/issues/24287 | 1,757,575,711 | I_kwDOCUB6oc5ownof | 24,287 | cannot import name 'TextIteratorStreamer' from 'transformers' | {
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Hi
My code raises error when I want to import `TextIteratorStreamer`
`from transformers import StoppingCriteria, StoppingCriteriaList, TextIteratorStreamer`
I have transformer installed !pip install --upgrade transformers in databricks.
If it helps this code runs successfully:
python -c "fr... | {
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https://api.github.com/repos/huggingface/transformers/issues/24286 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24286/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24286/comments | https://api.github.com/repos/huggingface/transformers/issues/24286/events | https://github.com/huggingface/transformers/pull/24286 | 1,757,543,753 | PR_kwDOCUB6oc5TB0dz | 24,286 | Update tokenizer_summary.mdx (grammar) | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,686 | 1,686 | 1,686 | CONTRIBUTOR | null | # What does this PR do?
Update docs with minor grammar fix
## 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-contri... | {
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https://api.github.com/repos/huggingface/transformers/issues/24285 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24285/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24285/comments | https://api.github.com/repos/huggingface/transformers/issues/24285/events | https://github.com/huggingface/transformers/issues/24285 | 1,757,534,907 | I_kwDOCUB6oc5owdq7 | 24,285 | Missing T5X module | {
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"Hi @akku779, thanks for raising this issue. \r\n\r\nIt seems that this is an issue with the installing of the t5x library, rather than one relating to transformers. Running the installation steps I was able to import `t5x` in a python session. \r\n\r\nGiven the `!` at the start of the pip commands, were these step... | 1,686 | 1,686 | 1,686 | NONE | null | ### System Info
I am using the T5X to Pytorch conversion script located in the transformers library to convert my pre-trained T5X model into a Pytorch model, however, upon running the script I receive the error below.
```
Traceback (most recent call last):
File "/usr/local/lib/python3.10/dist-packages/transfo... | {
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https://api.github.com/repos/huggingface/transformers/issues/24284 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24284/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24284/comments | https://api.github.com/repos/huggingface/transformers/issues/24284/events | https://github.com/huggingface/transformers/pull/24284 | 1,757,490,559 | PR_kwDOCUB6oc5TBo4S | 24,284 | Split common test from core tests | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@ydshieh It's just the addition of new tests for modeling_utils or tokenization_utils which is really painful since those files are ~4k lines."
] | 1,686 | 1,686 | 1,686 | COLLABORATOR | null | # What does this PR do?
This PR aims at cleaning the tests files like `test_modeling_common.py` which contain two distinct things: the common tester which is reused by all model tests, but also some core tests of `modeling_utils.py`. This PR split this file (and all similar) into 2: the common tester mixin stays in ... | {
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"From the command you are pasting, you are not doing any evaluation (`--do_eval` is not set to True). `--fp16_full_eval` is ignored during training, so your model will still take the same place and the same speed during training. It's just for evaluation.",
"@sgugger Thanks for replying. Is there any way to run t... | 1,686 | 1,686 | 1,686 | NONE | null | ### System Info
I am running a simple benchmarking test to see the speedup and accuracy changes that we see when we switch to `float16` (full float16, not mixed precision). For this purpose, I am using the example [semantic segmentation example script](https://github.com/huggingface/transformers/blob/main/examples/pyt... | {
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https://api.github.com/repos/huggingface/transformers/issues/24282 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24282/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24282/comments | https://api.github.com/repos/huggingface/transformers/issues/24282/events | https://github.com/huggingface/transformers/pull/24282 | 1,757,311,897 | PR_kwDOCUB6oc5TBB8i | 24,282 | Big TF test cleanup | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"(@Rocketknight1 ping me if the gen tests are not sorted after the latest push)",
"I think everything has been addressed now, but I'm not going to merge this one today because there's another PR affecting our tests (#24301) and idea... | 1,686 | 1,686 | 1,686 | MEMBER | null | Now we've done a big overhaul of the TF model internals, a lot of tests can be fixed. Several tests were disabled for being buggy or too slow - these are almost all performant now, so I re-enabled them. Runtime for the re-enabled tests was 15-20 seconds on my local machine.
Also, we had a number of TF test failures ... | {
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https://api.github.com/repos/huggingface/transformers/issues/24281 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24281/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24281/comments | https://api.github.com/repos/huggingface/transformers/issues/24281/events | https://github.com/huggingface/transformers/pull/24281 | 1,757,215,389 | PR_kwDOCUB6oc5TAs9S | 24,281 | Add MMS CTC Fine-Tuning | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"> I think this should go in its own example instead of adding some more code to the (already complex) ctc example. It's preferable to have multiple examples focused on one thing than one big multi-purpose example.\r\n\r\nOk for me",
... | 1,686 | 1,690 | 1,686 | MEMBER | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/24280 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24280/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24280/comments | https://api.github.com/repos/huggingface/transformers/issues/24280/events | https://github.com/huggingface/transformers/issues/24280 | 1,757,048,966 | I_kwDOCUB6oc5ounCG | 24,280 | Loading fp16 model as fp32 when using .from_retrained() | {
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"cc @younesbelkada ",
"Hi @EdanZizo \r\nto load the model with the desired dtype directly from the config I believe you should use `torch_dtype=\"auto\"` in `GPTJForCausalLM.from_pretrained(\"ThisIsMyUsername69/gpt-j-6B-16bit\", config=config)`. But note that the canonical way to load any model in half precision ... | 1,686 | 1,686 | 1,686 | NONE | null | ### System Info
When loading GPTJ from GPTJForCausalLM.from_pretrained() loading 16bit model which should be approximately 12GB, it instead has a model size ~23GB which is the full 32 bit weights.
the code:
```
device = torch.device('cuda:0' if torch.cuda.is_available() else 'cpu')
tokenizer = AutoTokenizer.... | {
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https://api.github.com/repos/huggingface/transformers/issues/24279 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24279/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24279/comments | https://api.github.com/repos/huggingface/transformers/issues/24279/events | https://github.com/huggingface/transformers/pull/24279 | 1,757,029,928 | PR_kwDOCUB6oc5TAFIi | 24,279 | Clean up old Accelerate checks | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,686 | 1,686 | 1,686 | COLLABORATOR | null | # What does this PR do?
Since we now enforce at init that the user has the version of Accelerate pinned at minimum, we can remove a lot of boilerplate code checking if things are available or not. | {
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https://api.github.com/repos/huggingface/transformers/issues/24278 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24278/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24278/comments | https://api.github.com/repos/huggingface/transformers/issues/24278/events | https://github.com/huggingface/transformers/issues/24278 | 1,756,995,985 | I_kwDOCUB6oc5ouaGR | 24,278 | Allowing one to pass run_config to hyperparameter tuning (to allow storing checkpoints on s3) | {
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"Hi @hugocool, \r\n\r\nThanks for raising this issue. The integrations are maintained by their authors and not us. You can definitely open a PR, just make sure to ping them to verify the change! \r\n ",
"`transformers.integrations.run_hp_search_ray` calls `ray.tune.run` which doesn't accept `run_config` as that i... | 1,686 | 1,690 | 1,690 | NONE | null | ### Feature request
[in ray 2.5.1 it becomes possible to set the intermediate storage of checkpoints to s3](https://docs.ray.io/en/latest/tune/tutorials/tune-storage.html#configuring-tune-with-cloud-storage-aws-s3-google-cloud-storage).
```
from ray.air.config import RunConfig
from ray.air.integrations.mlfl... | {
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https://api.github.com/repos/huggingface/transformers/issues/24277 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24277/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24277/comments | https://api.github.com/repos/huggingface/transformers/issues/24277/events | https://github.com/huggingface/transformers/pull/24277 | 1,756,923,530 | PR_kwDOCUB6oc5S_tz1 | 24,277 | Update check of core deps | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_24277). All of your documentation changes will be reflected on that endpoint."
] | 1,686 | 1,686 | 1,686 | COLLABORATOR | null | # What does this PR do?
This PR updates the check of core dependencies to:
- include all of them (huggingface_hub and safetensors were not tested)
- add Accelerate since we have a lot of issues with versions mismatch, with the work done on the Trainer
cc @ydshieh one of the lines removed here concerns the Pytho... | {
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"cc @ydshieh since you added the feature",
"~~I don't *fully* understand what the code snippet above try to demonstrate.~~\r\n\r\nBut the origin of `self._additional_special_tokens` is from this issue #20418, where `added_tokens_encoder` will include all the added tokens, but `additional_special_tokens` is being ... | 1,686 | 1,697 | 1,697 | COLLABORATOR | null | Just flagging this as the `add_special_tokens` method got pretty complicated, adding a kwargs, `replace_additional_special_tokens`, that supposedly can prevent replacing the `self._additional_special_tokens` attribute.
For any tokenizer, this will remove it from the list, but will not update the internal `trie` and t... | {
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https://api.github.com/repos/huggingface/transformers/issues/24275 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24275/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24275/comments | https://api.github.com/repos/huggingface/transformers/issues/24275/events | https://github.com/huggingface/transformers/issues/24275 | 1,756,871,301 | I_kwDOCUB6oc5ot7qF | 24,275 | Can we convert dynamic DNN model to TorchScript? | {
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"Hey! Thanks for reporting, I think it might also be because our Switch returns None values sometimes, checking\r\n! ",
"Thanks a lot for providing the full reproduction script 🤗 \r\nActually, I don't think that MoE models can be torch scripted as the path taken by the inputs will be different for each tokens (b... | 1,686 | 1,687 | 1,687 | NONE | null | ### System Info
- `transformers` version: 4.26.1
- Platform: Linux-5.4.0-42-generic-x86_64-with-glibc2.10
- Python version: 3.8.13
- Huggingface_hub version: 0.13.4
- PyTorch version (GPU?): 2.0.1+cu117 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- ... | {
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https://api.github.com/repos/huggingface/transformers/issues/24274 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24274/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24274/comments | https://api.github.com/repos/huggingface/transformers/issues/24274/events | https://github.com/huggingface/transformers/pull/24274 | 1,756,869,606 | PR_kwDOCUB6oc5S_iBH | 24,274 | Fix resuming PeftModel checkpoints in Trainer | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Although this continues training but it doesnt retain the old stuff for me. Can someone look into this?\r\n",
"This doesn't seem like older resume from checkpoint that has it for pytorch models. Inside trainer.train we need to pass... | 1,686 | 1,697 | 1,687 | CONTRIBUTOR | null | # What does this PR do?
Fix an error occurred when Trainer tries to resume a PeftModel from a training checkpoint. That was caused since PeftModel.pre_trained saves only adapter-related data while _load_from_checkpoint expects a saved torch model. This PR fix this issue and allows the adapter checkpoint to be loaded... | {
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https://api.github.com/repos/huggingface/transformers/issues/24273 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24273/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24273/comments | https://api.github.com/repos/huggingface/transformers/issues/24273/events | https://github.com/huggingface/transformers/pull/24273 | 1,756,760,360 | PR_kwDOCUB6oc5S_Jul | 24,273 | Update to transformers==4.30 | {
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"Hi @dbogunowicz, thanks for opening a PR.\r\n\r\nCould you add a description detailing what issue the PR address or feature it adds? "
] | 1,686 | 1,686 | 1,686 | NONE | null | # What does this PR do?
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"Hi, thanks for raising an issue! \r\n\r\nQuestions about custom training and model performance are best placed in our [forums](https://discuss.huggingface.co/). We try to reserve the github issues for feature requests and bug reports.\r\n\r\nIf you believe the behaviour is due to a bug in the model, then please sh... | 1,686 | 1,701 | null | NONE | null | ### Feature request
Training code implementation for finetuning Whisper using prompts.
Hi All,
I’m trying to finetune Whisper by resuming its pre-training task and adding initial prompts as part of the model’s forward pass. I saw this [amazing tutorial](https://huggingface.co/blog/fine-tune-whisper), however, i... | {
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https://api.github.com/repos/huggingface/transformers/issues/24271 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24271/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24271/comments | https://api.github.com/repos/huggingface/transformers/issues/24271/events | https://github.com/huggingface/transformers/pull/24271 | 1,756,494,532 | PR_kwDOCUB6oc5S-Q8R | 24,271 | Fix URL in comment for contrastive loss function | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,686 | 1,686 | 1,686 | 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/24270 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24270/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24270/comments | https://api.github.com/repos/huggingface/transformers/issues/24270/events | https://github.com/huggingface/transformers/pull/24270 | 1,756,405,239 | PR_kwDOCUB6oc5S99dF | 24,270 | `Pix2StructImageProcessor` requires `torch>=1.11.0` | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,686 | 1,686 | 1,686 | COLLABORATOR | null | # What does this PR do?
So let's be nice to past CI ❤️ !
It's the argument `antialias` in `interpolate` only supported in `torch>=1.11.0`:
```
torch.nn.functional.interpolate(..., antialias=True)
``` | {
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https://api.github.com/repos/huggingface/transformers/issues/24269 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24269/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24269/comments | https://api.github.com/repos/huggingface/transformers/issues/24269/events | https://github.com/huggingface/transformers/issues/24269 | 1,756,390,295 | I_kwDOCUB6oc5osGOX | 24,269 | Flax LMHeadModel for common models like Bert and Albert | {
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"Alright, I found out that LMHeadModel is an old naming choice that was kept not to break compatibility. In Flax, I should be able to do what I want with `FlaxBertForCausalLM`."
] | 1,686 | 1,686 | 1,686 | NONE | null | ### Feature request
A LM Head Model for common models such as Bert and Albert is available in both PyTorch and TensorFlow, but it appears to be missing in Flax.
### Motivation
We are developing a library in JAX and Flax for uncertainty quantification, and we rely on Hugging Face transformers written in Flax.
### Y... | {
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https://api.github.com/repos/huggingface/transformers/issues/24268 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24268/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24268/comments | https://api.github.com/repos/huggingface/transformers/issues/24268/events | https://github.com/huggingface/transformers/issues/24268 | 1,756,327,355 | I_kwDOCUB6oc5or227 | 24,268 | pytest jax,jaxlib,flax versions incompatibility | {
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"Could you try:\r\n```\r\npip install -e \".[flax]\"\r\n```\r\nTo get the correct version of all three packages?",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues that... | 1,686 | 1,690 | 1,690 | NONE | null | ### System Info
When running pytest (```pytest --collect-only -q``` is enough), it fails due to
```
AttributeError: module 'jax.tree_util' has no attribute 'register_pytree_with_keys_class'
```
From setup.py deps:
```
"jax>=0.2.8,!=0.3.2,<=0.3.6",
"jaxlib>=0.1.65,<=0.3.6",**
```
## Fix:
pip insta... | {
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https://api.github.com/repos/huggingface/transformers/issues/24267 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24267/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24267/comments | https://api.github.com/repos/huggingface/transformers/issues/24267/events | https://github.com/huggingface/transformers/pull/24267 | 1,756,303,363 | PR_kwDOCUB6oc5S9nd6 | 24,267 | Skip some `TQAPipelineTests` tests in past CI | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,686 | 1,686 | 1,686 | COLLABORATOR | null | # What does this PR do?
A continuation of #24251. `TapasModel` is used in pipeline tests (`TQAPipelineTests`) and we need torch >=12 there too.
(didn't check all failures in one go before opening PRs 😅 ) | {
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https://api.github.com/repos/huggingface/transformers/issues/24266 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24266/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24266/comments | https://api.github.com/repos/huggingface/transformers/issues/24266/events | https://github.com/huggingface/transformers/pull/24266 | 1,756,150,328 | PR_kwDOCUB6oc5S9GaS | 24,266 | Fix bug in slow tokenizer conversion, make it a lot faster | {
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"Speed info: the new implementation takes 70 ms, the old one took 123 seconds for the `openlm-research/open_llama_7b` tokenizer mentioned in the issue.",
"_The documentation is not available anymore as the PR was closed or merged._",
"> Really nice fix and improvement - thanks for working on this ❤️\r\n> \r\n> ... | 1,686 | 1,686 | 1,686 | CONTRIBUTOR | null | # What does this PR do?
The slow tokenizer conversion currently has a bug where merges with a score of 0 do not get used due to an erroneous check. The check simply tested truthiness, but was actually looking for a `None`. During fixing, I noticed that the code was also slow, so I made it a lot faster.
Fixes #242... | {
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https://api.github.com/repos/huggingface/transformers/issues/24265 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24265/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24265/comments | https://api.github.com/repos/huggingface/transformers/issues/24265/events | https://github.com/huggingface/transformers/issues/24265 | 1,756,026,869 | I_kwDOCUB6oc5oqtf1 | 24,265 | `BloomForSequenceClassification` output is sensitive to `padding_side` and `max_length` | {
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"(bump)",
"Hey! Thanks for opening this issue! \r\nSeems to rather be related to [this](https://github.com/huggingface/transformers/blob/v4.30.1/src/transformers/models/bloom/modeling_bloom.py#L1072) line, where we define the sequence length tensor. \r\nMost of our models that compute partial pooled logits use th... | 1,686 | 1,690 | 1,690 | NONE | null | ### System Info
- `transformers` version: 4.30.0.dev0
- Platform: Linux-5.15.0-18-shopee-generic-x86_64-with-glibc2.31
- Python version: 3.10.8
- Huggingface_hub version: 0.14.1
- Safetensors version: 0.3.1
- PyTorch version (GPU?): 2.0.1+cu118 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax ver... | {
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https://api.github.com/repos/huggingface/transformers/issues/24264 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24264/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24264/comments | https://api.github.com/repos/huggingface/transformers/issues/24264/events | https://github.com/huggingface/transformers/issues/24264 | 1,755,881,117 | I_kwDOCUB6oc5oqJ6d | 24,264 | MeZo Forward Pass Implementation | {
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"cc @sgugger and @pacman100 who know more about `Trainer` and integrations ",
"Should this be integrated with PEFT instead? https://github.com/huggingface/peft",
"Anw the motivation is not faster training; in fact it ought to be slower as far as I understand. Rather, it is lower memory requirement.",
"You are... | 1,686 | 1,687 | null | NONE | null | ### Feature request
https://github.com/princeton-nlp/MeZO/blob/main/large_models/trainer.py
### Motivation
Faster training
### Your contribution
Just a user atm. | {
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https://api.github.com/repos/huggingface/transformers/issues/24263 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24263/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24263/comments | https://api.github.com/repos/huggingface/transformers/issues/24263/events | https://github.com/huggingface/transformers/issues/24263 | 1,755,878,127 | I_kwDOCUB6oc5oqJLv | 24,263 | Is time to update the transformers dependence in README. | {
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"@luoling1993 Indeed! Would you like to open a PR to update this, so that you get the contribution? ",
"take",
"Hi @amyeroberts ,\r\nAs I can see this has not been fixed yet, I would love to raise a pull request to resolve this. May I know the latest versions it has been tested on? My apologies as I am new to t... | 1,686 | 1,687 | 1,687 | NONE | null | In README docs, it say `This repository is tested on Python 3.6+, Flax 0.3.2+, PyTorch 1.3.1+ and TensorFlow 2.3+.` | {
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https://api.github.com/repos/huggingface/transformers/issues/24262 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24262/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24262/comments | https://api.github.com/repos/huggingface/transformers/issues/24262/events | https://github.com/huggingface/transformers/pull/24262 | 1,755,854,252 | PR_kwDOCUB6oc5S8Ggm | 24,262 | Fixing RotaryEmbedding.forward to return float16 values in float16 precision mode. | {
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"I will investigate whether or not this is the source of instabilities in Llama2! If so, will adresse it",
"No time to deep dive into this at the moment! If someone wants to check this feel free to do so! 😉 ",
"@ArthurZucker\r\n\r\nThanks for the comment.\r\n\r\n> The initialisation with torch.float16 as an ar... | 1,686 | 1,700 | 1,700 | NONE | null | # What does this PR do?
RotaryEmbedding.forward() returns values with float32 precision even in float16 precision mode.
This affects to the subsequent calculation and takes extra GPU memory usage.
This PR fixes that problem.
Fixes #24261
## Before submitting
- [ ] This PR fixes a typo or improves the do... | {
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https://api.github.com/repos/huggingface/transformers/issues/24261 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24261/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24261/comments | https://api.github.com/repos/huggingface/transformers/issues/24261/events | https://github.com/huggingface/transformers/issues/24261 | 1,755,842,599 | I_kwDOCUB6oc5oqAgn | 24,261 | GPTNeoXAttention takes extra GPU memory footprint in torch.float16 precision mode. | {
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"PR is prepared as #24262",
"cc @younesbelkada @ArthurZucker ",
"@younesbelkada @ArthurZucker\r\nHi. This is just a friendly reminder. ",
"Hi @kikutakou \r\nFor fp16 models it is important to calculate the attention scores in full precision, mainly for numerical stability reasons. Check out for instance: http... | 1,686 | 1,692 | 1,692 | NONE | null | ### System Info
- `transformers` version: 4.30.1
- Platform: Linux-5.15.0-1034-gcp-x86_64-with-glibc2.2.5
- Python version: 3.8.10
- Huggingface_hub version: 0.14.1
- Safetensors version: 0.3.1
- PyTorch version (GPU?): 2.0.1+cu117 (True)
- Tensorflow version (GPU?): 2.11.1 (True)
- Flax version (CPU?/GPU?/TP... | {
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https://api.github.com/repos/huggingface/transformers/issues/24260 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24260/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24260/comments | https://api.github.com/repos/huggingface/transformers/issues/24260/events | https://github.com/huggingface/transformers/issues/24260 | 1,755,469,370 | I_kwDOCUB6oc5oolY6 | 24,260 | Configuration | {
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"Duplicate of #"
] | 1,686 | 1,686 | 1,686 | NONE | null | [8329381051](http://@googlemaps.com)
> #@https://github.com/huggingface/transformers/blob/fe861e578f50dc9c06de33cd361d2f625017e624/src/transformers/utils/hub.py#L734
/
```python`
#23655 [WlP] add transfer script | {
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https://api.github.com/repos/huggingface/transformers/issues/24259 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24259/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24259/comments | https://api.github.com/repos/huggingface/transformers/issues/24259/events | https://github.com/huggingface/transformers/pull/24259 | 1,755,452,527 | PR_kwDOCUB6oc5S6ugq | 24,259 | [Mask2Former] Remove SwinConfig | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"gently ping @amyeroberts to see if we could merge 🤗 "
] | 1,686 | 1,687 | 1,687 | CONTRIBUTOR | null | # What does this PR do?
This PR removes what was probably a leftover from the Mask2Former PR, the model works without requiring those lines of code.
Fixes #24244 | {
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https://api.github.com/repos/huggingface/transformers/issues/24258 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24258/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24258/comments | https://api.github.com/repos/huggingface/transformers/issues/24258/events | https://github.com/huggingface/transformers/issues/24258 | 1,755,366,794 | I_kwDOCUB6oc5ooMWK | 24,258 | Does Fine tuning of already fine tuned model forgets the previous features like weights and bias? | {
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"Hi @akesh1235, 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.",
"Thankyou @amyeroberts mam , \r\nI have posted on forum [Link for My topic on forum ](https://discuss.hu... | 1,686 | 1,690 | 1,690 | NONE | null | Is it possible for fine tuning the already fine tuned model without losing previous features??
Suppose i fine-tune a model on "squad" dataset then I want to Incremental fine-tune the same model on some other dataset having same/different data formate and hyperparameters, does this means now model is fine-tuned on 2 ... | {
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https://api.github.com/repos/huggingface/transformers/issues/24257 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24257/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24257/comments | https://api.github.com/repos/huggingface/transformers/issues/24257/events | https://github.com/huggingface/transformers/issues/24257 | 1,755,358,220 | I_kwDOCUB6oc5ooKQM | 24,257 | Add padding changes the output of BertModel | {
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"Hi @AaronNing, thanks for opening this issue! \r\n\r\nThe (very small!) differences are arising because of the forced typing with `torch.set_default_dtype(torch.float32)`. Floating point arithmetic is inherently imprecise. By forcing tensors to be `float32`, where previously they weren't, you're introducing imprec... | 1,686 | 1,690 | 1,690 | NONE | null | ### System Info
- `transformers` version: 4.30.1
- Platform: Linux-4.4.0-131-generic-x86_64-with-glibc2.10
- Python version: 3.8.16
- Huggingface_hub version: 0.15.1
- Safetensors version: 0.3.1
- PyTorch version (GPU?): 2.0.1+cu117 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/G... | {
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https://api.github.com/repos/huggingface/transformers/issues/24256 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24256/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24256/comments | https://api.github.com/repos/huggingface/transformers/issues/24256/events | https://github.com/huggingface/transformers/pull/24256 | 1,755,355,793 | PR_kwDOCUB6oc5S6Zcx | 24,256 | Skip `GPT-J` fx tests for torch < 1.12 | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,686 | 1,686 | 1,686 | COLLABORATOR | null | # What does this PR do?
After #22069, the fx tests for gpt-j with torch < 1.12 gives an error
```bash
(line 941) AssertionError: Couldn't trace module: 'len' is not supported in symbolic tracing by default. If you want this call to be recorded, please call torch.fx.wrap('len') at module scope
```
Guess it's bes... | {
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https://api.github.com/repos/huggingface/transformers/issues/24255 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24255/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24255/comments | https://api.github.com/repos/huggingface/transformers/issues/24255/events | https://github.com/huggingface/transformers/pull/24255 | 1,755,340,645 | PR_kwDOCUB6oc5S6WKW | 24,255 | Fix how we detect the TF package | {
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"cc @apbard as well since I think the issue was introduced in #23163, but thankfully it's a relatively easy fix!",
"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,686 | 1,686 | 1,686 | MEMBER | null | Our framework detection code calls `_is_package_available()` for TensorFlow, but this code fails when only the `tensorflow-cpu` package is present. The failure occurs because `importlib_metadata.version("tensorflow")` throws an error in the version detection branch of `_is_package_available` unless the core `tensorflow... | {
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https://api.github.com/repos/huggingface/transformers/issues/24254 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24254/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24254/comments | https://api.github.com/repos/huggingface/transformers/issues/24254/events | https://github.com/huggingface/transformers/issues/24254 | 1,755,269,426 | I_kwDOCUB6oc5on0ky | 24,254 | ValueError: You have to specify either decoder_input_ids or decoder_inputs_embeds Transformers Translation Tutorial Repro | {
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"Hey @SoyGema 👋 \r\n\r\nFrom your exception, I believe the issue is at the data preparation stage -- it is pretty much complaining that your dataset has no labels. Have you followed the data preprocessing steps described [here](https://huggingface.co/docs/transformers/tasks/translation#preprocess)?",
"Hello ther... | 1,686 | 1,688 | 1,687 | CONTRIBUTOR | null | ### System Info
### Context
Hello There!
First and foremost, congrats for Transformers Translation[ tutorial](https://huggingface.co/docs/transformers/tasks/translation). 👍
It serves as a Spark for building english-to-many translation languages models!
I´m following it along with TF mostly reproducing it in a... | {
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https://api.github.com/repos/huggingface/transformers/issues/24253 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24253/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24253/comments | https://api.github.com/repos/huggingface/transformers/issues/24253/events | https://github.com/huggingface/transformers/issues/24253 | 1,755,252,803 | I_kwDOCUB6oc5onwhD | 24,253 | transformers does not detect Tensorflow when installing tensorflow-cpu package | {
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"@apbard I see you touched the Tensorflow detection logic here: https://github.com/huggingface/transformers/commit/83eda6435e7c842e55b42a529e9bf367bf2a126b. ",
"cc @ydshieh @Rocketknight1 ",
"Just to confirm, if I set env var `FORCE_TF_AVAILABLE` all works as expected. (I'd like to avoid that of course)",
"R... | 1,686 | 1,686 | 1,686 | NONE | null | ### System Info
This issue was introduced in transformers 4.30.x.
Output of pip list (partial):
```
tensorflow-cpu 2.12.0
tensorflow-estimator 2.12.0
tensorflow-intel 2.12.0
tensorflow-io-gcs-filesystem 0.31.0
transformers ... | {
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https://api.github.com/repos/huggingface/transformers/issues/24252 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24252/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24252/comments | https://api.github.com/repos/huggingface/transformers/issues/24252/events | https://github.com/huggingface/transformers/issues/24252 | 1,755,191,070 | I_kwDOCUB6oc5onhce | 24,252 | Peft Model not resuming from Checkpoint | {
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"Hi @llohann-speranca \r\nThanks for digging, flagging the issue and proposing a fix! \r\nIndeed didn't properly tried it with `resume_from_checkpoint`. Yes please could you open a PR and tag me there? \r\nThanks and looking forward to the PR!",
"Hi Younes. Thank you for the reply. I will do it later today, after... | 1,686 | 1,687 | 1,687 | CONTRIBUTOR | null | ### System Info
Running from huggingface/transformers-pytorch-gpu docker image.
- `transformers` version: 4.31.0.dev0
- Platform: Linux-5.4.0-139-generic-x86_64-with-glibc2.29
- Python version: 3.8.10
- Huggingface_hub version: 0.15.1
- Safetensors version: 0.3.1
- PyTorch version (GPU?): 2.0.1+cu118 (True)
-... | {
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https://api.github.com/repos/huggingface/transformers/issues/24251 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24251/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24251/comments | https://api.github.com/repos/huggingface/transformers/issues/24251/events | https://github.com/huggingface/transformers/pull/24251 | 1,755,158,632 | PR_kwDOCUB6oc5S5t17 | 24,251 | Add `torch >=1.12` requirement for `Tapas` | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,686 | 1,686 | 1,686 | COLLABORATOR | null | # What does this PR do?
Tapas files are changed in #20149 to use torch's `scatter`. The torch tensor's method `scatter_reduce` accept the argument `src` only for torch >= 1.12.
This PR add some warnings/requirements in tapas modeling/test files to avoid test failures in past CI with torch <= 1.11.
(one previou... | {
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https://api.github.com/repos/huggingface/transformers/issues/24250 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24250/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24250/comments | https://api.github.com/repos/huggingface/transformers/issues/24250/events | https://github.com/huggingface/transformers/pull/24250 | 1,755,136,597 | PR_kwDOCUB6oc5S5pCo | 24,250 | docs wrt using accelerate launcher with trainer | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,686 | 1,686 | 1,686 | CONTRIBUTOR | null | # What does this PR do?
1. Major issue currently is the confusion about how to use accelerate launcher with Trainer. This PR addresses it. | {
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https://api.github.com/repos/huggingface/transformers/issues/24249 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24249/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24249/comments | https://api.github.com/repos/huggingface/transformers/issues/24249/events | https://github.com/huggingface/transformers/pull/24249 | 1,755,053,325 | PR_kwDOCUB6oc5S5Wmz | 24,249 | update FSDP save and load logic | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,686 | 1,686 | 1,686 | CONTRIBUTOR | null | # What does this PR do?
1. Should be merged after PR https://github.com/huggingface/accelerate/pull/1576
2. Updates the saving and loading utils for FSDP to be in sync with the latest PyTorch release. | {
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https://api.github.com/repos/huggingface/transformers/issues/24248 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24248/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24248/comments | https://api.github.com/repos/huggingface/transformers/issues/24248/events | https://github.com/huggingface/transformers/issues/24248 | 1,754,980,707 | I_kwDOCUB6oc5omuFj | 24,248 | auto_find_batch_size=True and eval_steps=ratio unexpected behavior | {
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"cc @muellerzr ",
"Any chance you could provide a minimal reproducer I can test with?\r\n\r\nOtherwise please try installing via `pip install git+https://github.com/huggingface/transformers@muellerzr-ratio` to see if that fixes it? 🙏 ",
"Let me try your patch first.",
"With the patch, still evaling every 66 ... | 1,686 | 1,691 | 1,691 | NONE | null | ### System Info
- `transformers` version: 4.30.1
- Platform: Linux-5.7.19-050719-generic-x86_64-with-glibc2.29
- Python version: 3.8.10
- Huggingface_hub version: 0.15.1
- Safetensors version: 0.3.1
- PyTorch version (GPU?): 2.0.1+cu117 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?... | {
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https://api.github.com/repos/huggingface/transformers/issues/24247 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24247/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24247/comments | https://api.github.com/repos/huggingface/transformers/issues/24247/events | https://github.com/huggingface/transformers/pull/24247 | 1,754,940,517 | PR_kwDOCUB6oc5S49wy | 24,247 | Fix gradient checkpointing + fp16 autocast for most models | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,686 | 1,687 | 1,687 | CONTRIBUTOR | null | # What does this PR do?
This PR fixes a bug users can encounter when using gradient checkpointing under fp16 autocast context manager. Currently if a user trains a model using autocast and GC the last layer's weights will never get updated.
<details><summary>Handy reproducible snippet</summary>
```python
imp... | {
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https://api.github.com/repos/huggingface/transformers/issues/24246 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24246/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24246/comments | https://api.github.com/repos/huggingface/transformers/issues/24246/events | https://github.com/huggingface/transformers/issues/24246 | 1,754,867,246 | I_kwDOCUB6oc5omSYu | 24,246 | Training not converging with `transformers==4.26.1` | {
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"Hi, @bhavitvyamalik thanks for raising an issue! \r\n\r\nQuestions about customising scripts for your own requirements e.g. optimal warmup steps, are best placed in our [forums](https://discuss.huggingface.co/). We try to reserve the github issues for feature requests and bug reports.\r\n\r\nIf the training works ... | 1,686 | 1,689 | 1,689 | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.26.1
- Platform: Linux-3.10.0-1160.71.1.el7.x86_64-x86_64-with-glibc2.17
- Python version: 3.8.16
- Huggingface_hub version: 0.15.1
- PyTorch version (GPU?): 1.9.0+cu102 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not insta... | {
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https://api.github.com/repos/huggingface/transformers/issues/24245 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24245/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24245/comments | https://api.github.com/repos/huggingface/transformers/issues/24245/events | https://github.com/huggingface/transformers/issues/24245 | 1,754,783,296 | I_kwDOCUB6oc5ol95A | 24,245 | Qlora on open llama 13b fails | {
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"Hi @nivibilla, \r\n\r\nPlease make sure to search the issues first, as it's possible they have previously been reported and resolved e.g.: \r\n#24050 \r\n#23935 \r\n\r\nCould you try installing accelerate, peft and transformers from source, and rerunning your script\r\n```\r\npip install git+https://github.com/hug... | 1,686 | 1,689 | 1,689 | NONE | null | ### System Info
Installed by ```!pip install -q -U git+https://github.com/huggingface/transformers.git```
On databricks
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [x] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` f... | {
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https://api.github.com/repos/huggingface/transformers/issues/24244 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24244/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24244/comments | https://api.github.com/repos/huggingface/transformers/issues/24244/events | https://github.com/huggingface/transformers/issues/24244 | 1,754,745,518 | I_kwDOCUB6oc5ol0qu | 24,244 | Make classifier backbone dynamic maskformer, mask2former | {
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"Thank you for solving this issue. But there is still problem.\r\nThe supported backbones variable hinders to allow any backbones other than\r\nswin.\r\nPlease check this line. I had to write child class and had to modify this\r\nline to solve this problem.\r\n\r\nhttps://github.com/huggingface/transformers/blob/ma... | 1,686 | 1,687 | 1,687 | NONE | null | ### Feature request
Make classifier backbone dynamic maskformer, mask2former. Currently it only supports swin transformer.
link example: https://github.com/huggingface/transformers/blob/main/src/transformers/models/mask2former/modeling_mask2former.py#L1393
### Motivation
If this feature request successf... | {
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https://api.github.com/repos/huggingface/transformers/issues/24243 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24243/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24243/comments | https://api.github.com/repos/huggingface/transformers/issues/24243/events | https://github.com/huggingface/transformers/issues/24243 | 1,754,733,529 | I_kwDOCUB6oc5olxvZ | 24,243 | facebook\opt layer norm | {
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"Hi @CompressTeam, thanks for raising this issue!\r\n\r\nI believe this behaviour is likely coming from the fact that the layer norm layers are instantiated with `elementwise_affine=True` e.g. [here](https://github.com/huggingface/transformers/blob/fdd78d91532dffc4b2493d3b9bd9e19aaf78fe6b/src/transformers/models/op... | 1,686 | 1,689 | 1,689 | NONE | null | ### System Info
transformers version 4.28.1.
I notice that in the facebook\optX models the LayerNorm weight is equal to 1 in all layers, means no parameter changed.
I checked the sizes 125m, 1.3b, 2.7b, 6.7b, 13b
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [ ] M... | {
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https://api.github.com/repos/huggingface/transformers/issues/24242 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24242/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24242/comments | https://api.github.com/repos/huggingface/transformers/issues/24242/events | https://github.com/huggingface/transformers/issues/24242 | 1,754,723,475 | I_kwDOCUB6oc5olvST | 24,242 | Error in finetuning starcoder with 8 GPU 24GB Memory | {
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"Hi @22Mukesh22 \r\nThanks for the issue, Per my understanding you want to use NPP(Naive Pipeline Parallelism) \r\nFor reference check: https://github.com/huggingface/accelerate/issues/1515#issuecomment-1584515731 and the entire thread\r\nIn this case you should run your script in a non-distributed mode. Please run... | 1,686 | 1,689 | 1,689 | NONE | null | ### System Info
I am trying finetuning starcoder , with 8 GPU P40 (each 24GB Memory) , I am using
"https://github.com/Xirider/finetune-gpt2xl " and also referring the "https://github.com/bigcode-project/starcoder"
Facing error with both.
The error says :
raise ValueError( ValueError: You can't train a mode... | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,686 | 1,686 | 1,686 | COLLABORATOR | null | # What does this PR do?
After merging in #23271, hitting `TAB` for autocompleting: `from transformers.` in an ipython session results in a runtime error.
It appears that this is because `_pytest` and `pytest` are imported in `testing_utils.py`. Although there's no direct imports of `transformers.testing_utils.py... | {
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"Hi @DavidHuebner, this is a known issue, and it's unfortunately unavoidable! Floating point calculations are inherently imprecise, which means that changing the specific kernels you use and the order of operations will slightly alter the result. Because TF uses different kernels to Torch, and because TF compiles m... | 1,686 | 1,686 | 1,686 | NONE | null | ### System Info
- `transformers` version: 4.20.1
- Platform: Linux-4.18.0-425.3.1.el8.x86_64-x86_64-with-glibc2.10
- Python version: 3.8.5
- Huggingface_hub version: 0.11.1
- PyTorch version (GPU?): 1.13.0 (True)
- Tensorflow version (GPU?): 2.7.4 (True)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax... | {
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https://api.github.com/repos/huggingface/transformers/issues/24239 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24239/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24239/comments | https://api.github.com/repos/huggingface/transformers/issues/24239/events | https://github.com/huggingface/transformers/pull/24239 | 1,754,682,769 | PR_kwDOCUB6oc5S4Ee2 | 24,239 | deprecate `use_mps_device` | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,686 | 1,686 | 1,686 | CONTRIBUTOR | null | # What does this PR do?
1. deprecate `use_mps_device`. `mps` device will be used by default if available similar to the way `cuda` device is used.
Therefore, no action from user is required. | {
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] | 1,686 | 1,686 | 1,686 | MEMBER | null | # What does this PR do?
Fixes #24104
As with other configuration files, we should allow overwriting attributes at `from_pretrained` time. The latest change to the `GenerationConfig` loading code disallowed it -- this PR fixes it and adds a test. | {
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https://api.github.com/repos/huggingface/transformers/issues/24237 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24237/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24237/comments | https://api.github.com/repos/huggingface/transformers/issues/24237/events | https://github.com/huggingface/transformers/pull/24237 | 1,754,643,700 | PR_kwDOCUB6oc5S37yx | 24,237 | [Time Series] use mean scaler when scaling is a boolean True | {
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"thank you!"
] | 1,686 | 1,686 | 1,686 | CONTRIBUTOR | null | # What does this PR do?
Use the mean scaler when `scaling` is `True` or `"mean"` | {
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"You'd need to recreate everything that has been performed throughout this integration, which is quite a lot. Distributed training still works in the Trainer natively, we just replaced its guts with Accelerate. The only real main difference is the DataLoader setup is a bit different in how it handles the batches. H... | 1,686 | 1,689 | 1,689 | CONTRIBUTOR | null | ### Feature request
How can we use `accelerate` features with an older version of `transformers`? I'm asking this because I've to use `adapter-transformers` and that is based on `transformers v4.26.1`
### Motivation
I used it latest `transformers` version and found it really helpful for parallelising the tra... | {
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https://api.github.com/repos/huggingface/transformers/issues/24235 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24235/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24235/comments | https://api.github.com/repos/huggingface/transformers/issues/24235/events | https://github.com/huggingface/transformers/issues/24235 | 1,754,473,563 | I_kwDOCUB6oc5okyRb | 24,235 | Add SPTSv2 | {
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"Hi @NielsRogge can I please contribute this model? "
] | 1,686 | 1,686 | null | CONTRIBUTOR | null | ### Model description
SPTSv2 is the latest SOTA text spotting model from Bytedance. Given that we already support DETR, should be a breeze to support this model as well.
SPTSv2 is an improvement over the first version: https://github.com/shannanyinxiang/SPTS.
### Open source status
- [X] The model implementation ... | {
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https://api.github.com/repos/huggingface/transformers/issues/24234 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24234/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24234/comments | https://api.github.com/repos/huggingface/transformers/issues/24234/events | https://github.com/huggingface/transformers/pull/24234 | 1,754,442,624 | PR_kwDOCUB6oc5S3PTs | 24,234 | Adapt Wav2Vec2 conversion for MMS lang identification | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_24234). All of your documentation changes will be reflected on that endpoint."
] | 1,686 | 1,686 | 1,686 | MEMBER | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/24233 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24233/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24233/comments | https://api.github.com/repos/huggingface/transformers/issues/24233/events | https://github.com/huggingface/transformers/issues/24233 | 1,754,427,609 | I_kwDOCUB6oc5oknDZ | 24,233 | Auto-Converted Fast Tokenizer Producing Incorrect Results | {
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"Hey! Thanks for reporting. I am investigating this !",
"Hi, I have a fix. It also makes the conversion process a lot faster (it is super slow on my machine right now for some reason). Is it ok if I make a PR? \r\n\r\n@young-geng do you have other examples of words that go wrong? I think I've fixed it, but more e... | 1,686 | 1,701 | 1,686 | NONE | null | ### System Info
- `transformers` version: 4.30.1
- Platform: Linux-5.15.107+-x86_64-with-glibc2.31
- Python version: 3.10.12
- Huggingface_hub version: 0.15.1
- Safetensors version: 0.3.1
- PyTorch version (GPU?): 2.0.1+cu118 (False)
- Tensorflow version (GPU?): 2.12.0 (False)
- Flax version (CPU?/GPU?/TPU?):... | {
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] | 1,686 | 1,686 | 1,686 | CONTRIBUTOR | null | # What does this PR do?
Fixes[ #273](https://github.com/huggingface/safetensors/issues/273)
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] | 1,686 | 1,686 | 1,686 | COLLABORATOR | null | # What does this PR do?
As @NielsRogge points out to me, the `check_config_attributes` doesn't check all configuration classes (to make sure all `__init__` arguments are really used).
This is because `CONFIG_MAPPING` doesn't contain all configuration classes, in particular, the vision/text config classes for mode... | {
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https://api.github.com/repos/huggingface/transformers/issues/24230 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24230/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24230/comments | https://api.github.com/repos/huggingface/transformers/issues/24230/events | https://github.com/huggingface/transformers/pull/24230 | 1,754,385,216 | PR_kwDOCUB6oc5S3Cvl | 24,230 | Fix doc deployment | {
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https://api.github.com/repos/huggingface/transformers/issues/24228 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24228/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24228/comments | https://api.github.com/repos/huggingface/transformers/issues/24228/events | https://github.com/huggingface/transformers/pull/24228 | 1,754,173,322 | PR_kwDOCUB6oc5S2U3h | 24,228 | QA doc: import torch before it is used | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@amyeroberts @stevhliu mind checking again? thanks!",
"@ByronHsu Thanks again for fixing! All looks good 👍 "
] | 1,686 | 1,686 | 1,686 | CONTRIBUTOR | null | # What does this PR do?
import torch before it is used in qa doc. Otherwise, it complains import error.
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](https://github.com/huggingface/transf... | {
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https://api.github.com/repos/huggingface/transformers/issues/24227 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24227/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24227/comments | https://api.github.com/repos/huggingface/transformers/issues/24227/events | https://github.com/huggingface/transformers/issues/24227 | 1,754,072,625 | I_kwDOCUB6oc5ojQYx | 24,227 | Importing transformers in ipython throws error due to `_pytest` | {
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"I have exactly same issue with this, how to resolve the issue? ",
"I have the same issue with the 4.30.0 version. Try to use the 4.29.0 version.",
"We can workaround it with `pip install pytest`",
"@gkgkska @xxupiano @xin3he Thanks for reporting this. A fix has now been merged into `main`. ",
"Running into... | 1,686 | 1,689 | 1,686 | CONTRIBUTOR | null | ### System Info
- `transformers` version: 4.30.1
- Platform: macOS-12.5-arm64-arm-64bit
- Python version: 3.10.8
- Huggingface_hub version: 0.15.1
- Safetensors version: 0.3.1
- PyTorch version (GPU?): 2.0.1 (False)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (... | {
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] | 1,686 | 1,686 | 1,686 | CONTRIBUTOR | null | # What does this PR do?
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Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
Then, please replace this w... | {
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https://api.github.com/repos/huggingface/transformers/issues/24225 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24225/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24225/comments | https://api.github.com/repos/huggingface/transformers/issues/24225/events | https://github.com/huggingface/transformers/issues/24225 | 1,754,056,044 | I_kwDOCUB6oc5ojMVs | 24,225 | Transformers can't detect tensorflow installed in some different path of the environment, even though the path is added to PYTHONPATH | {
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"Hi @RickSanchezStoic, thanks for raising this issue! \r\n\r\nIt seems this is a bug relating to how we detect TF being in the environment, @Rocketknight1 is opening a PR to resolve. Related issue here: #24253",
"Hi @RickSanchezStoic, can you confirm what you mean by \"installed in a different directory\" here? D... | 1,686 | 1,686 | 1,686 | NONE | null | Transformers is not able to detect tensorflow installed in different directory.
Steps to reproduce, execute the commands in order:
`docker pull unifyai/ivy:latest`
`docker run --rm -it unifyai/ivy:latest`
`pip install transformers`
`python`
`from transformers import TFDeiTModel`
`model = TFDeiTModel.from_p... | {
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https://api.github.com/repos/huggingface/transformers/issues/24224 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24224/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24224/comments | https://api.github.com/repos/huggingface/transformers/issues/24224/events | https://github.com/huggingface/transformers/pull/24224 | 1,753,993,860 | PR_kwDOCUB6oc5S1uWt | 24,224 | Fix LLaMa beam search when using parallelize | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@FeiWang96 The quality checks are currently failing. To resolve these, run `make style` at the top level of the repo and commit any changes made. ",
"Hi @amyeroberts , thank you for approving. I've fixed the code format issue. Howe... | 1,686 | 1,686 | 1,686 | CONTRIBUTOR | null | # What does this PR do?
This PR fixes a crash when running beam search on LLaMa on multiple GPUs. Similar issue is also observed and fixed on T5 #11717
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https://api.github.com/repos/huggingface/transformers/issues/24223 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24223/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24223/comments | https://api.github.com/repos/huggingface/transformers/issues/24223/events | https://github.com/huggingface/transformers/issues/24223 | 1,753,804,832 | I_kwDOCUB6oc5oiPAg | 24,223 | MMS: target_lang=fra in pipeline() leads to "Size mismatch for lm_head.weight/bias when loading state_dict for Wav2Vec2ForCTC" | {
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"Hey @erickedji,\r\n\r\nWe were indeed missing docs here, I've added them in #24292 . \r\n\r\nHowever, the way you used the pipeline is 100% correct! For some reason **\"facebook/mms-1b-l1107\"** doesn't perform very well. However, **\"facebook/mms-1b-all\"** works well.\r\n\r\n```py\r\nfrom transformers import pip... | 1,686 | 1,691 | 1,686 | NONE | null | ### System Info
- `transformers` version: 4.31.0.dev0
- Platform: Linux-5.15.107+-x86_64-with-glibc2.31
- Python version: 3.10.12
- Huggingface_hub version: 0.15.1
- Safetensors version: 0.3.1
- PyTorch version (GPU?): 2.0.1+cu118 (True)
- Tensorflow version (GPU?): 2.12.0 (True)
- Flax version (CPU?/GPU?/TPU?)... | {
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"OK, I won't notify you again about this release, but will get in touch when a new version is available. If you'd rather skip all updates until the next major or minor version, let me know by commenting `@dependabot ignore this major ... | 1,686 | 1,686 | 1,686 | CONTRIBUTOR | null | Bumps [transformers](https://github.com/huggingface/transformers) from 4.26.1 to 4.30.0.
<details>
<summary>Release notes</summary>
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<details>
<summary>Release notes</summary>
<p><em>Sourced from <a href="https://github.com/huggingface/transformers/releases">transformers's releases</a>.</em></p>
<blockquote>
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<details>
<summary>Release notes</summary>
<p><em>Sourced from <a href="https://github.com/huggingface/transformers/releases">transformers's releases</a>.</em></p>
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https://api.github.com/repos/huggingface/transformers/issues/24219 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24219/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24219/comments | https://api.github.com/repos/huggingface/transformers/issues/24219/events | https://github.com/huggingface/transformers/pull/24219 | 1,753,634,437 | PR_kwDOCUB6oc5S0gbF | 24,219 | Bump transformers from 4.19.0 to 4.30.0 in /examples/research_projects/codeparrot | {
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<details>
<summary>Release notes</summary>
<p><em>Sourced from <a href="https://github.com/huggingface/transformers/releases">transformers's releases</a>.</em></p>
<blockquote>
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https://api.github.com/repos/huggingface/transformers/issues/24218 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24218/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24218/comments | https://api.github.com/repos/huggingface/transformers/issues/24218/events | https://github.com/huggingface/transformers/pull/24218 | 1,753,626,407 | PR_kwDOCUB6oc5S0ena | 24,218 | Bump transformers from 3.5.1 to 4.30.0 in /examples/research_projects/deebert | {
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<details>
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https://api.github.com/repos/huggingface/transformers/issues/24217 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/24217/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/24217/comments | https://api.github.com/repos/huggingface/transformers/issues/24217/events | https://github.com/huggingface/transformers/pull/24217 | 1,753,626,325 | PR_kwDOCUB6oc5S0emR | 24,217 | Bump transformers from 3.5.1 to 4.30.0 in /examples/research_projects/bertology | {
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<details>
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