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https://api.github.com/repos/huggingface/transformers/issues/12645 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12645/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12645/comments | https://api.github.com/repos/huggingface/transformers/issues/12645/events | https://github.com/huggingface/transformers/issues/12645 | 941,991,374 | MDU6SXNzdWU5NDE5OTEzNzQ= | 12,645 | `TFHubertModelTest.test_model_from_pretrained` is failing | {
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"Added in [`cbd73bd#huggingface.co`](https://huggingface.co/facebook/hubert-base-ls960/commit/cbd73bd518689ab98a9370c74165f4875ccd97d5)"
] | 1,626 | 1,626 | 1,626 | MEMBER | null | The `TFHubertModelTest.test_model_from_pretrained` is failing because the TensorFlow checkpoint isn't available under `facebook/hubert-base-ls960`.
Same with `TFHubertRobustModelTest.test_model_from_pretrained` | {
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https://api.github.com/repos/huggingface/transformers/issues/12644 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12644/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12644/comments | https://api.github.com/repos/huggingface/transformers/issues/12644/events | https://github.com/huggingface/transformers/pull/12644 | 941,970,767 | MDExOlB1bGxSZXF1ZXN0Njg3NzY1MDU5 | 12,644 | Only test the files impacted by changes in the diff | {
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"What happens if one only changes a file like `src/transformers/models/bert/__init__.py`? The only files that are impacted by this is `src/transformers/__init__` -> does this mean no tests are run? What if someone introduces a typo in this file that doesn't allow anymore to import `BertModel`? ",
"Ah great point,... | 1,626 | 1,626 | 1,626 | COLLABORATOR | null | # What does this PR do?
This PR adds some utilities to only run the tests that are impacted by the diff in a PR, to have the CI run faster, save on CI costs and avoid hanging tests. For now the first stage of deployment only concerns PRs, the jobs run at each push (either on circle CI or GitHub actions) still run a... | {
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https://api.github.com/repos/huggingface/transformers/issues/12643 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12643/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12643/comments | https://api.github.com/repos/huggingface/transformers/issues/12643/events | https://github.com/huggingface/transformers/issues/12643 | 941,900,305 | MDU6SXNzdWU5NDE5MDAzMDU= | 12,643 | Adding an argument to exclude some states (pretrained weights) from being loaded. | {
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"I'm in favor of this. For example, when I wanted to fine-tune DETR, I had to use the following hack to make it work:\r\n\r\n```\r\nmodel = DetrForObjectDetection.from_pretrained(\"facebook/detr-resnet-50\")\r\nstate_dict = model.state_dict()\r\n# Remove class weights\r\ndel state_dict[\"class_labels_classifier.wei... | 1,626 | 1,626 | 1,626 | CONTRIBUTOR | null | # 🚀 Feature request
Adding an argument in `from_pretrained` to exclude some states (pretrained weights) from being loaded.
## Motivation
In general, we usually use `from_pretrained` method to load pretrained states, from CDN or local files, into the model. However, In case when I need to adjust the shape of c... | {
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https://api.github.com/repos/huggingface/transformers/issues/12642 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12642/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12642/comments | https://api.github.com/repos/huggingface/transformers/issues/12642/events | https://github.com/huggingface/transformers/issues/12642 | 941,878,787 | MDU6SXNzdWU5NDE4Nzg3ODc= | 12,642 | "token_type_ids" is discarded when using GenerationMixin in ”generation_utils.py“ | {
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"Thanks for your issue @nanzhao! In order make `OpenAIGPTLMHeadModel` work with `token_type_ids` we should add this line to `prepare_inputs_for_generation`:\r\n\r\nhttps://github.com/huggingface/transformers/blob/790f1c9545f4a83b97bf75640be82b2112c3efe7/src/transformers/models/gpt2/modeling_gpt2.py#L884",
"Would ... | 1,626 | 1,630 | 1,630 | NONE | null | ## Environment info
- `transformers` version: 4.8.2
- Platform: Darwin-19.6.0-x86_64-i386-64bit
- Python version: 3.6.10
- PyTorch version (GPU?): 1.9.0 (False)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not installed
- JaxLib version: not ... | {
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https://api.github.com/repos/huggingface/transformers/issues/12641 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12641/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12641/comments | https://api.github.com/repos/huggingface/transformers/issues/12641/events | https://github.com/huggingface/transformers/issues/12641 | 941,786,331 | MDU6SXNzdWU5NDE3ODYzMzE= | 12,641 | USE_TORCH while import transformers forever true | {
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"I am unsure of what the bug is and the reproducer you are suggesting. You are not supposed to change the source code of the library to activate `USE_TORCH`, you should set it as an environment variable.",
"Please close issue,\nSomething wrong with my env\n\nבתאריך יום ב׳, 12 ביולי 2021 ב-17:33 מאת Sylvain Gugger... | 1,626 | 1,626 | 1,626 | NONE | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: 4.8.0
- Platform: linux
- Python version: 3.6
- PyTorch version (GPU?):1.8.1(No)
- Tensorflow version (GPU?... | {
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https://api.github.com/repos/huggingface/transformers/issues/12640 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12640/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12640/comments | https://api.github.com/repos/huggingface/transformers/issues/12640/events | https://github.com/huggingface/transformers/pull/12640 | 941,763,741 | MDExOlB1bGxSZXF1ZXN0Njg3NTg5MTU4 | 12,640 | fix typo in modeling_t5.py docstring | {
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https://api.github.com/repos/huggingface/transformers/issues/12639 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12639/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12639/comments | https://api.github.com/repos/huggingface/transformers/issues/12639/events | https://github.com/huggingface/transformers/pull/12639 | 941,752,316 | MDExOlB1bGxSZXF1ZXN0Njg3NTc5NDE5 | 12,639 | Refactored code to improve performance/employ best practices. | {
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"Hello, and thank you for your contribution! It seems you were using a very outdated fork in order to open your PR (see the +5k -56k diff), as several files end up deleted and a lot of library improvements would be reverted were we to merge this PR.\r\n\r\nIn case these changes were intentional, let me point you to... | 1,626 | 1,626 | 1,626 | NONE | null | # What does this PR do?
<!--
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Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
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https://api.github.com/repos/huggingface/transformers/issues/12638 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12638/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12638/comments | https://api.github.com/repos/huggingface/transformers/issues/12638/events | https://github.com/huggingface/transformers/pull/12638 | 941,732,228 | MDExOlB1bGxSZXF1ZXN0Njg3NTYyMjA0 | 12,638 | [flax]fix jax array type check | {
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Fixes #12584, #12578
On colab the `ModelOutput` class is returning empty tuples for jax arrays. This is because on colab TPU the type of jax array is `jax.interpreters.xla._DeviceArray` and the `is_tensor` function here
https://github.com/huggingface/transformers/blob/2dd9440d0835782e41... | {
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https://api.github.com/repos/huggingface/transformers/issues/12637 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12637/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12637/comments | https://api.github.com/repos/huggingface/transformers/issues/12637/events | https://github.com/huggingface/transformers/issues/12637 | 941,664,852 | MDU6SXNzdWU5NDE2NjQ4NTI= | 12,637 | Slower training speed under DeepSpeed | {
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"Deepspeed is a project that has many different at times totally unrelated features.\r\n\r\nTherefore when you read in a blog that it made something 10x faster, you need to pay close attention to what was the task, and what was the model size, and how many hundreds of gpus, and optimizer, etc., etc.\r\n\r\nThe main... | 1,626 | 1,629 | 1,629 | NONE | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: 4.8.2
- Platform: nvcr.io/nvidia/pytorch:21.02-py3 container on CentOS7
- Python version: 3.8.5
- PyTorch ve... | {
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https://api.github.com/repos/huggingface/transformers/issues/12636 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12636/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12636/comments | https://api.github.com/repos/huggingface/transformers/issues/12636/events | https://github.com/huggingface/transformers/issues/12636 | 941,658,875 | MDU6SXNzdWU5NDE2NTg4NzU= | 12,636 | Error on training XLNet. RuntimeError: CUDA error: device-side assert triggered | {
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"I found out that changing vocab_size to 32000 fixes this error.\r\n\r\nHow do I change this number to other than 32000?\r\n\r\nI made a custom tokenizer \r\n```\r\ntokenizer.train(files=paths, vocab_size=16000, special_tokens=special_tokens)\r\ntokenizer.save('unigram.json', pretty=True)\r\n```\r\n\r\nloaded it\r... | 1,626 | 1,626 | 1,626 | NONE | null | Currently trying to make pretraining using XLNet architecture.
script to reproduce:
```
def tokenize_function(examples):
return tokenizer(examples["text"], padding="max_length", truncation=True)
from transformers import XLNetTokenizerFast
from tokenizers import Tokenizer
from transformers import ... | {
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"A PyTorch implementation: https://github.com/lucidrains/long-short-transformer",
"Cool work! However, models have a low chance of being added if there are no pre-trained weights available.",
"Thanks for your interest in our work! We have released the code for ImageNet and LRA at [https://github.com/NVIDIA/tran... | 1,626 | 1,672 | null | CONTRIBUTOR | null | # 🌟 New model addition
## Model description
https://arxiv.org/abs/2107.02192
In this paper, they propose Long-Short Transformer, an efficient self-attention mechanism for modeling long sequences with linear complexity for both language and vision tasks. It aggregates a novel long-range attention with dynamic ... | {
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"I was trying this on TPU, but it ended with the following error message:\r\n\r\n```bash\r\nTraceback (most recent call last):\r\n File \"run_t5_mlm_flax.py\", line 728, in <module>\r\n model_inputs = data_collator(samples)\r\n File \"run_t5_mlm_flax.py\", line 276, in __call__\r\n batch[\"decoder_input_ids... | 1,626 | 1,626 | 1,626 | CONTRIBUTOR | null | Small change adding ByT5 option to the Flax T5 training example
When model_type is `byt5`, use ByT5Tokenizer in place of T5TokenizerFast
Example: https://colab.research.google.com/drive/1WcDRPYyvuMZDbWuhsS3hTaVyXxjqryPz?usp=sharing | {
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"The training script `run_stream_trainer.py` is not an official training script no? Where can I find `run_stream_trainer.py` ? The error also does not seem to be related to pushing to the hub but rather with the line `keep=training_args.save_total_limit`.",
"I noticed some strange git behaviour including the crea... | 1,626 | 1,626 | 1,626 | NONE | null | While training a GPT-2 model using the following scripts the model crashes while pushing to hub. I made the saving step 10 since I suspected was related so saving.
```
#!/usr/bin/env bash
python3 swedish-gpt2-oscar/run_stream_trainer.py \
--output_dir="${MODEL_DIR}" \
--model_type="gpt2" \
--config_na... | {
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https://api.github.com/repos/huggingface/transformers/issues/12632 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12632/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12632/comments | https://api.github.com/repos/huggingface/transformers/issues/12632/events | https://github.com/huggingface/transformers/issues/12632 | 941,515,171 | MDU6SXNzdWU5NDE1MTUxNzE= | 12,632 | Vocab Size does not change when adding new tokens | {
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"I think you should use `print(len(tokenizer))` instead of `print(tokenizer.vocab_size)` (as the `vocab_size` is a fixed attribute, referring to the base vocabulary without any additional tokens). Refer to [this](https://github.com/huggingface/transformers/issues/1413#issuecomment-538083512) and [this](https://gith... | 1,626 | 1,626 | 1,626 | CONTRIBUTOR | null | Env:
- `transformers` version: 4.8.2
- Platform: Linux-5.4.104+-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.7.10
- PyTorch version (GPU?): 1.9.0+cu102
When adding new tokens to an existing tokenizer, the tokenizer's vocab size variable doesn't change. I believe it should be updated every time the tokens ... | {
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"You missed a line in the tutorial:\r\n\r\n```python\r\ntokenized_datasets = tokenized_datasets.remove_columns([\"text\"]) # this you have\r\ntokenized_datasets = tokenized_datasets.rename_column(\"label\", \"labels\") # MISSED\r\ntokenized_datasets.set_format(\"torch\") # this you have\r\n```\r\n\r\nModel expec... | 1,626 | 1,626 | 1,626 | NONE | null | I am following the instructions provided in https://huggingface.co/transformers/training.html and trying to use PyTorch API for Fine-tuning, here is the error I am getting
```
from datasets import load_dataset
from transformers import AutoTokenizer
from torch.utils.data import DataLoader
from transformers impo... | {
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https://api.github.com/repos/huggingface/transformers/issues/12630 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12630/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12630/comments | https://api.github.com/repos/huggingface/transformers/issues/12630/events | https://github.com/huggingface/transformers/pull/12630 | 941,377,247 | MDExOlB1bGxSZXF1ZXN0Njg3Mjc3ODcz | 12,630 | [Examples][Flax] added test file in summarization example | {
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Fixes #12527
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/master/CONTRIBUTING.md#start-contributing-pull-requests... | {
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"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/master/CONTRIBUTING.md)... | 1,625 | 1,629 | 1,629 | NONE | null | Hi!
I'm working on a distillation project right now, and I was wondering if this information is available anywhere.
I saw [this page](https://github.com/huggingface/transformers/tree/9ee66adadb2a8d6e04e8b18a1c9ea0b57c80642e/examples/research_projects/distillation) provides a comparison for `DistilGPT-2` vs `GPT-... | {
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https://api.github.com/repos/huggingface/transformers/issues/12628 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12628/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12628/comments | https://api.github.com/repos/huggingface/transformers/issues/12628/events | https://github.com/huggingface/transformers/issues/12628 | 941,304,668 | MDU6SXNzdWU5NDEzMDQ2Njg= | 12,628 | GPTNeo Error Attempting to Generate Text | {
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"Hey @ncoop57,\r\n\r\nThe reason for this error is that `input_ids.shape[1]` (the length of the input length) is larger then `max_length`. By default `max_length` of generate is 20 and in your case `input_ids.shape[1]` is > 20 which will error out. `max_length` define the number of total output tokens (not just the... | 1,625 | 1,631 | null | CONTRIBUTOR | null | ## Environment info
- `transformers` version: 4.9.0.dev0
- Platform: Linux-5.4.0-1043-gcp-x86_64-with-glibc2.29
- Python version: 3.8.10
- PyTorch version (GPU?): 1.9.0+cpu (False)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): 0.3.4 (tpu)
- Jax version: 0.2.16
- JaxLib versi... | {
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Hi y'all, I am trying a GPTNeo Flax model and am wanting to use it in the text generation pipeline. However, it is currently not supported. From looking at the current implementation of flax models and the text generation pipeline, it should be a relatively easy (famous last words) addition.
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<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version:
- Platform: linux
- Python version: 3,8
- PyTorch version (GPU?):
- Tensorflow version (GPU?):
- Using GPU... | {
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"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/master/CONTRIBUTING.md)... | 1,625 | 1,631 | 1,631 | NONE | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/12624 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12624/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12624/comments | https://api.github.com/repos/huggingface/transformers/issues/12624/events | https://github.com/huggingface/transformers/pull/12624 | 941,212,616 | MDExOlB1bGxSZXF1ZXN0Njg3MTU1NzMy | 12,624 | Add tokenizer_file parameter to PreTrainedTokenizerFast docstring | {
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- Add tokenizer_file parameter to PreTrainedTokenizerFast docstring
- References [this](https://github.com/huggingface/transformers/issues/12583#issuecomment-876613898) comment from @sgugger
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https://api.github.com/repos/huggingface/transformers/issues/12623 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12623/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12623/comments | https://api.github.com/repos/huggingface/transformers/issues/12623/events | https://github.com/huggingface/transformers/issues/12623 | 941,202,030 | MDU6SXNzdWU5NDEyMDIwMzA= | 12,623 | Inconsistent shapes between value and initializer for parameter: FlaxGPT2LMHeadModel | {
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"I don't exactly know how but this issue went away on its own after appearing unexpectedly out of nowhere. Closing the issue. ",
"> I don't exactly know how but this issue went away on its own after appearing unexpectedly out of nowhere. Closing the issue.\r\n\r\nDear thisis-nkul, have you sovled this problem? Ho... | 1,625 | 1,664 | 1,625 | NONE | null | Hello!
I was trying to finetune GPT-2 medium model through flax on a custom (tokenized) dataset and I encoountered this error: `Inconsistent shapes between value and initializer for parameter "scale" in "/transformer/ln_f": (1024,), (0,)`
Edit: The whole traceback is quite long and is reported [here](https://pasteb... | {
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https://api.github.com/repos/huggingface/transformers/issues/12622 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12622/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12622/comments | https://api.github.com/repos/huggingface/transformers/issues/12622/events | https://github.com/huggingface/transformers/issues/12622 | 941,172,092 | MDU6SXNzdWU5NDExNzIwOTI= | 12,622 | unclear `prepare_seq2seq_batch` deprecation | {
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"Why is `__call__` hard to understand? It's the regular Python method for when the tokenizer is called directly on inputs. How would you formulate that better?\r\n\r\nFor the `with_target_tokenizer` it's a typo indeed, it should be `as_target_tokenizer`.\r\n\r\nAs for an example, this is what is used in every examp... | 1,625 | 1,637 | 1,626 | CONTRIBUTOR | null | When using `prepare_seq2seq_batch` the user now gets:
> transformers-master/src/transformers/tokenization_utils_base.py:3277: FutureWarning: `prepare_seq2seq_batch` is deprecated and will be removed in version 5 of 🤗 Transformers. Use the regular `__call__` method to prepare your inputs and the tokenizer under the ... | {
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https://api.github.com/repos/huggingface/transformers/issues/12621 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12621/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12621/comments | https://api.github.com/repos/huggingface/transformers/issues/12621/events | https://github.com/huggingface/transformers/issues/12621 | 941,149,654 | MDU6SXNzdWU5NDExNDk2NTQ= | 12,621 | can't pickle <class 'types.AutoModelForCausalLM'> | {
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"Hello! Could you provide a code example that yields this error? Thank you!",
"```\r\nimport pickle\r\nfrom transformers import AutoModelForCausalLM\r\n\r\npickle.dumps(AutoModelForCausalLM)\r\n```\r\nI think it's comes from the fact those are autogenerated.",
"> ```\r\n> import pickle\r\n> from transformers im... | 1,625 | 1,626 | 1,626 | NONE | null |
Hi, a new problem has arisen
we can pickle "LazyModule" now, but can't pickle <class 'types.AutoModelForCausalLM'>
@stas00 @patrickvonplaten, @LysandreJik
Traceback (most recent call last):
File "/usr/local/anaconda3/envs/py38/lib/python3.8/multiprocessing/process.py", line 315, in _bootstrap
se... | {
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https://api.github.com/repos/huggingface/transformers/issues/12620 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12620/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12620/comments | https://api.github.com/repos/huggingface/transformers/issues/12620/events | https://github.com/huggingface/transformers/pull/12620 | 941,140,042 | MDExOlB1bGxSZXF1ZXN0Njg3MTAxOTgw | 12,620 | [doc] fix anchor | {
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https://api.github.com/repos/huggingface/transformers/issues/12619 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12619/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12619/comments | https://api.github.com/repos/huggingface/transformers/issues/12619/events | https://github.com/huggingface/transformers/pull/12619 | 941,078,495 | MDExOlB1bGxSZXF1ZXN0Njg3MDUwMzA5 | 12,619 | Add tokenizers class mismatch detection between `cls` and checkpoint | {
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"I revised the code based on your reviews. ",
"I want to ask you to refactor the logic.\r\nThank you for offering!",
"@SaulLu could you confirm you're happy with the changes? I think this is good to be merged on my side, thanks for the adjustments @europeanplaice.",
"@SaulLu @sgugger\r\nWe made a excellent jo... | 1,625 | 1,626 | 1,626 | CONTRIBUTOR | null | # What does this PR do?
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https://api.github.com/repos/huggingface/transformers/issues/12618 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12618/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12618/comments | https://api.github.com/repos/huggingface/transformers/issues/12618/events | https://github.com/huggingface/transformers/issues/12618 | 941,014,016 | MDU6SXNzdWU5NDEwMTQwMTY= | 12,618 | validation metrics not being logged by Trainer | {
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"You are not providing a reproducer (which would include the data on which to run the script) so we can reproduce your problem. Re-tested the script on TPU and it does run evaluation every eval_steps, as provided. A few things that could be the problem in your case:\r\n- since you set gradient_accumulation_steps = ... | 1,625 | 1,629 | 1,629 | NONE | null | ### Who can help
- trainer: @sgugger
## Information
Model I am using (Bert, XLNet ...): BigBird
The problem arises when using:
* [x] the official example scripts: (give details below)
* [ ] my own modified scripts: (give details below)
The tasks I am working on is:
* [ ] an official GLUE/SQUaD task: (give... | {
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https://api.github.com/repos/huggingface/transformers/issues/12617 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12617/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12617/comments | https://api.github.com/repos/huggingface/transformers/issues/12617/events | https://github.com/huggingface/transformers/pull/12617 | 940,983,937 | MDExOlB1bGxSZXF1ZXN0Njg2OTcxMTQ5 | 12,617 | TF summarization example | {
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"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/master/CONTRIBUTING.md)... | 1,625 | 1,628 | 1,628 | CONTRIBUTOR | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version:
- Platform: TPU VM
- Python version: 3.8.10
### Who can help
@patrickvonplaten @patil-suraj
## Inform... | {
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https://api.github.com/repos/huggingface/transformers/issues/12615 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12615/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12615/comments | https://api.github.com/repos/huggingface/transformers/issues/12615/events | https://github.com/huggingface/transformers/pull/12615 | 940,938,828 | MDExOlB1bGxSZXF1ZXN0Njg2OTMzMDg1 | 12,615 | [FLax] Fix marian docs 2 | {
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https://api.github.com/repos/huggingface/transformers/issues/12614 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12614/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12614/comments | https://api.github.com/repos/huggingface/transformers/issues/12614/events | https://github.com/huggingface/transformers/pull/12614 | 940,912,336 | MDExOlB1bGxSZXF1ZXN0Njg2OTEyMzIy | 12,614 | [Flax Marian] Add marian flax example | {
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"Hello! Could you provide the information required by the template, please? Especially the code that you used, as it's hard to help without it. Thanks",
"I have a similar problem during Finetuning LED for Summarization Task in Colab, with the following error message:\r\n-----------------------------\r\nRuntimeErr... | 1,625 | 1,631 | 1,631 | NONE | null | When I run trainer to fine-tune pertained long former for sequence classification I get the following error:
RuntimeError: one of the variables needed for gradient computation has been modified by an inplace operation: [torch.cuda.HalfTensor [12, 4096, 1]], which is output 0 of ViewBackward, is at version 1; expecte... | {
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https://api.github.com/repos/huggingface/transformers/issues/12612 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12612/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12612/comments | https://api.github.com/repos/huggingface/transformers/issues/12612/events | https://github.com/huggingface/transformers/pull/12612 | 940,863,349 | MDExOlB1bGxSZXF1ZXN0Njg2ODcxNzEx | 12,612 | [Flax] Fix mt5 auto | {
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<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
Then, please replace this w... | {
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https://api.github.com/repos/huggingface/transformers/issues/12611 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12611/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12611/comments | https://api.github.com/repos/huggingface/transformers/issues/12611/events | https://github.com/huggingface/transformers/pull/12611 | 940,842,577 | MDExOlB1bGxSZXF1ZXN0Njg2ODU0MTg2 | 12,611 | Better heuristic for token-classification pipeline. | {
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Relooking at the problem makes thing actually much simpler,
when we look at ids from a tokenizer, we have no way in **general**
to recover if some substring is part of a word or not.
However, within the pipeline, with offsets we still have access to the
original string, so we can simply... | {
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https://api.github.com/repos/huggingface/transformers/issues/12610 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12610/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12610/comments | https://api.github.com/repos/huggingface/transformers/issues/12610/events | https://github.com/huggingface/transformers/issues/12610 | 940,794,893 | MDU6SXNzdWU5NDA3OTQ4OTM= | 12,610 | Unable to load mT5 with FlaxAutoModelForSeq2SeqLM | {
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"follo... | [] | 1,625 | 1,625 | 1,625 | CONTRIBUTOR | null | ## Environment info
- `transformers` version: 4.9.0.dev0
- Platform: TPU VM
- Python version: 3.8.10
### Who can help
@patrickvonplaten
##
Trying to load mT5 ('google/mt5-small') with FlaxAutoModelForSeq2SeqLM leads to the following error:
```
>>> import transformers
>>> model = FlaxAutoModelForSeq2Seq... | {
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https://api.github.com/repos/huggingface/transformers/issues/12609 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12609/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12609/comments | https://api.github.com/repos/huggingface/transformers/issues/12609/events | https://github.com/huggingface/transformers/pull/12609 | 940,749,976 | MDExOlB1bGxSZXF1ZXN0Njg2Nzc1ODcy | 12,609 | Fix arg count for partial functions | {
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As pointed out in #12605, the count for the number of arguments in the `model_init` was not working for partial functions. This PR fixes that. | {
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https://api.github.com/repos/huggingface/transformers/issues/12608 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12608/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12608/comments | https://api.github.com/repos/huggingface/transformers/issues/12608/events | https://github.com/huggingface/transformers/pull/12608 | 940,736,816 | MDExOlB1bGxSZXF1ZXN0Njg2NzY0ODY4 | 12,608 | [Flax] Fix cur step flax examples | {
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https://api.github.com/repos/huggingface/transformers/issues/12607 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12607/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12607/comments | https://api.github.com/repos/huggingface/transformers/issues/12607/events | https://github.com/huggingface/transformers/pull/12607 | 940,684,090 | MDExOlB1bGxSZXF1ZXN0Njg2NzE5NjE5 | 12,607 | T5 mlm Flax streaming example | {
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"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/master/CONTRIBUTING.md)... | 1,625 | 1,632 | 1,632 | CONTRIBUTOR | null | # Added T5 mlm Flax streaming example
This PR adds an example script for T5 MLM Pretraining using 🤗 Datasets streaming feature. A new script `run_mlm_t5_flax_stream.py` is added in the `jax-projects/dataset-streaming` folder, and the `README.md` is updated accordingly with a training example for `t5-small` on the `... | {
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https://api.github.com/repos/huggingface/transformers/issues/12606 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12606/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12606/comments | https://api.github.com/repos/huggingface/transformers/issues/12606/events | https://github.com/huggingface/transformers/issues/12606 | 940,658,370 | MDU6SXNzdWU5NDA2NTgzNzA= | 12,606 | Remote process received SIGTERM on 96 core tpu-vm during group_text map on datasets | {
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"I added a notebook that shows that the error occurs during the map of the group_texts function on https://huggingface.co/flax-community/t5-base-dutch/blob/main/Load_token_group_dataset.ipynb",
"When executing the above notebook with 8 processing threads on my local machine, there are no errors.",
"This issue h... | 1,625 | 1,629 | 1,629 | CONTRIBUTOR | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: 4.9.0.dev0
- Platform: Linux-5.4.0-1043-gcp-x86_64-with-glibc2.29
- Python version: 3.8.10
- PyTorch version... | {
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https://api.github.com/repos/huggingface/transformers/issues/12605 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12605/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12605/comments | https://api.github.com/repos/huggingface/transformers/issues/12605/events | https://github.com/huggingface/transformers/issues/12605 | 940,657,283 | MDU6SXNzdWU5NDA2NTcyODM= | 12,605 | 🐛 `model_init` fails when its a partially evaluated funtion. | {
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"I can reproduce. I would argue that this is more a bug in Python than the `Trainer` but will try to find a way to fix this. In the meantime, you should avoid using partials for `model_init` :-)",
"Thanks for the quick answer! I'll avoid using partials for now 👍🏼",
"Should be fixed in the PR above!"
] | 1,625 | 1,626 | 1,626 | CONTRIBUTOR | null | https://github.com/huggingface/transformers/blob/65e27215ba991450e30aac1bf06f7f4e889e77fb/src/transformers/trainer.py#L908
Inspect module usage here does not take into account the cases when the user provides a partially evaluated function, causing an exception.
Since the issue is related to the `trainer` API I t... | {
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https://api.github.com/repos/huggingface/transformers/issues/12604 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12604/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12604/comments | https://api.github.com/repos/huggingface/transformers/issues/12604/events | https://github.com/huggingface/transformers/pull/12604 | 940,490,978 | MDExOlB1bGxSZXF1ZXN0Njg2NTUzOTY1 | 12,604 | Add LayoutLMv2 + LayoutXLM | {
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"> Thanks a lot for adding this model!\r\n> For LayoutXLM, I don't think we need a new page if we can use the same architecture and tokenizer without changes. Just mention on the doc page the architecture does both.\r\n> \r\n> Don't forget to add the model to the main README!\r\n@sgugger \r\n\r\nJust want to point ... | 1,625 | 1,630 | 1,630 | CONTRIBUTOR | null | # What does this PR do?
This PR adds Microsoft's [LayoutLMv2](https://arxiv.org/abs/2012.14740) and [LayoutXLM](https://arxiv.org/abs/2104.08836) models, in PyTorch. The latter is a multilingual version of LayoutLMv2. For now, I have not yet added any documentation related to LayoutXLM, I'm not sure whether we need ... | {
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https://api.github.com/repos/huggingface/transformers/issues/12603 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12603/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12603/comments | https://api.github.com/repos/huggingface/transformers/issues/12603/events | https://github.com/huggingface/transformers/issues/12603 | 940,448,660 | MDU6SXNzdWU5NDA0NDg2NjA= | 12,603 | Facing Issue while loading pytorch model as flax model | {
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"using `FlaxAutoModelForSeq2SeqLM` solved the issue, It was typing mistake"
] | 1,625 | 1,625 | 1,625 | CONTRIBUTOR | null | I am trying to convert pytorch model in flax so i can train in downstream task
I wrote converting script like this
```python
from transformers import AutoConfig, FlaxAutoModelForMaskedLM
config = AutoConfig.from_pretrained("./")
model = FlaxAutoModelForMaskedLM.from_pretrained("./", from_pt=True, config=config)
... | {
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https://api.github.com/repos/huggingface/transformers/issues/12602 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12602/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12602/comments | https://api.github.com/repos/huggingface/transformers/issues/12602/events | https://github.com/huggingface/transformers/issues/12602 | 940,427,281 | MDU6SXNzdWU5NDA0MjcyODE= | 12,602 | How to transfer fine-tuned model from python to rust? | {
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Since the maximum model in huggingface is in pytorch or tf. But I have used to BART-Large in rust-bert find out that the overall execution of BART-Large in rust is significantly lower than python. But don't know how to transfer fine-tuned pytorch model to rust env.
Feature needed:-
1 . Need to m... | {
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https://api.github.com/repos/huggingface/transformers/issues/12601 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12601/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12601/comments | https://api.github.com/repos/huggingface/transformers/issues/12601/events | https://github.com/huggingface/transformers/issues/12601 | 940,354,836 | MDU6SXNzdWU5NDAzNTQ4MzY= | 12,601 | Cannot load .pt model using Transformers | {
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"What is your .pt model? Where did you obtain it from?",
"While we don't have the complete details following is a possible solution:\r\nYou can initialize your model using transformers and simply load the weights using\r\n`model.load_state_dict(torch.load('model.pt'))`\r\n\r\nIn case this is not what you're looki... | 1,625 | 1,630 | 1,630 | NONE | null | Hi,
I want to use Transformers to load .pt model. How can I do that? I know how to load .bin using transformers, but I do not know how to load .pt model using transformers. Thanks.
config = config_class.from_pretrained(
args.config_name if args.config_name else args.model_name_or_path,
num_l... | {
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https://api.github.com/repos/huggingface/transformers/issues/12600 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12600/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12600/comments | https://api.github.com/repos/huggingface/transformers/issues/12600/events | https://github.com/huggingface/transformers/issues/12600 | 940,324,452 | MDU6SXNzdWU5NDAzMjQ0NTI= | 12,600 | Custom tokenizer from Tokenizers library | {
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"https://github.com/huggingface/transformers/issues/11722\r\n\r\nfound solution here"
] | 1,625 | 1,626 | 1,626 | NONE | null | Hi, thank you for the library.
I have a few questions regarding training from scratch.
I used this as a reference on how to train new language model.
https://colab.research.google.com/github/huggingface/blog/blob/master/notebooks/01_how_to_train.ipynb
I wanted to train XLNet for my corpus.
First, I could tra... | {
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https://api.github.com/repos/huggingface/transformers/issues/12599 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12599/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12599/comments | https://api.github.com/repos/huggingface/transformers/issues/12599/events | https://github.com/huggingface/transformers/pull/12599 | 940,314,409 | MDExOlB1bGxSZXF1ZXN0Njg2NDA1NTMz | 12,599 | Point to the right file for hybrid CLIP | {
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<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
Then, please replace this w... | {
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https://api.github.com/repos/huggingface/transformers/issues/12598 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12598/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12598/comments | https://api.github.com/repos/huggingface/transformers/issues/12598/events | https://github.com/huggingface/transformers/issues/12598 | 940,275,140 | MDU6SXNzdWU5NDAyNzUxNDA= | 12,598 | `tokenizer.special_tokens_map` has stringified list for "additional_special_tokens" value. | {
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"That seems like an issue indeed! Pinging @SaulLu ",
"Thank you for your issue @erip! This seems to be a bug to me as well, I just opened a PR #12759 that should solve this problem. Now the command:\r\n```python\r\nfrom transformers import AutoTokenizer\r\nm = AutoTokenizer.from_pretrained('xlm-roberta-base')\r\n... | 1,625 | 1,626 | 1,626 | CONTRIBUTOR | null | ## Environment info
- `transformers` version: 4.8.2
- Platform: macOS-10.15.7-x86_64-i386-64bit
- Python version: 3.8.10
- PyTorch version (GPU?): 1.9.0 (False)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not installed
- JaxLib version: no... | {
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https://api.github.com/repos/huggingface/transformers/issues/12597 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12597/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12597/comments | https://api.github.com/repos/huggingface/transformers/issues/12597/events | https://github.com/huggingface/transformers/pull/12597 | 940,208,596 | MDExOlB1bGxSZXF1ZXN0Njg2MzE0Njgz | 12,597 | [doc] fix broken ref | {
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@sgugger | {
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https://api.github.com/repos/huggingface/transformers/issues/12596 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12596/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12596/comments | https://api.github.com/repos/huggingface/transformers/issues/12596/events | https://github.com/huggingface/transformers/pull/12596 | 940,169,244 | MDExOlB1bGxSZXF1ZXN0Njg2MjgxMDgy | 12,596 | Translate README.md to Simplified Chinese | {
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"The Chinese translations looks good to me!",
"LGTM.",
"@JetRunner I can help with the translation of Traditional Chinese. Would you like me submitting a PR or any kinds of assistance?",
"> @JetRunner I can help with the translation of Traditional Chinese. Would you like me submitting a PR or any kinds of ass... | 1,625 | 1,626 | 1,626 | CONTRIBUTOR | null | This is part of the Hugging Face document translation project. I appreciate it if anyone (from Hong Kong / Taiwan) could help verify the traditional Chinese version (which is still WIP). | {
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https://api.github.com/repos/huggingface/transformers/issues/12595 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12595/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12595/comments | https://api.github.com/repos/huggingface/transformers/issues/12595/events | https://github.com/huggingface/transformers/pull/12595 | 940,153,470 | MDExOlB1bGxSZXF1ZXN0Njg2MjY3Njk2 | 12,595 | [Flax] Add flax marian | {
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https://api.github.com/repos/huggingface/transformers/issues/12594 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12594/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12594/comments | https://api.github.com/repos/huggingface/transformers/issues/12594/events | https://github.com/huggingface/transformers/issues/12594 | 940,104,434 | MDU6SXNzdWU5NDAxMDQ0MzQ= | 12,594 | GPT-2 asking for Padding Token | {
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"```python\r\ntokenizer.pad_token = tokenizer.eos_token\r\n```\r\n\r\nis the recommended way to fix the warning :-) ",
"alright thank you, so eos instead of unknown right?",
"Upon further research, it seems they default to the same thing anyways https://huggingface.co/transformers/model_doc/gpt2.html"
] | 1,625 | 1,625 | 1,625 | NONE | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: 4.8.2
- Platform: Windows 10 (Google Collab)
- Python version: Python 3.6.9
- PyTorch version (GPU?):1.8.1+c... | {
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https://api.github.com/repos/huggingface/transformers/issues/12593 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12593/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12593/comments | https://api.github.com/repos/huggingface/transformers/issues/12593/events | https://github.com/huggingface/transformers/issues/12593 | 940,079,275 | MDU6SXNzdWU5NDAwNzkyNzU= | 12,593 | XLM-RoBERTa NER extraction breaks/splitting the words ! | {
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"Cc @Narsil ",
"Hi @dummynov1 ,\r\n\r\nYou are using `grouped_entities` which will only to attempt to fuse *valid* entities (B-PER, I-PER, I-PER). Any break in that structure won't get merged and you might break words up.\r\n\r\nWe recently added other aggregation strategies ( https://huggingface.co/transformers/... | 1,625 | 1,647 | 1,627 | NONE | null | I have been using the huggingface xlm-roberta-large-finetuned-conll03-english model NER pipeline for extracting Names, Location and Organization Entities.
But i'm facing an issue now and then with certain entity extraction from short sentences where a word is broken down into sub-word tokens with different entity ty... | {
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https://api.github.com/repos/huggingface/transformers/issues/12592 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12592/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12592/comments | https://api.github.com/repos/huggingface/transformers/issues/12592/events | https://github.com/huggingface/transformers/pull/12592 | 940,013,701 | MDExOlB1bGxSZXF1ZXN0Njg2MTQ4NDYw | 12,592 | Add Flax sprint project evaluation section | {
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https://api.github.com/repos/huggingface/transformers/issues/12591 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12591/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12591/comments | https://api.github.com/repos/huggingface/transformers/issues/12591/events | https://github.com/huggingface/transformers/pull/12591 | 939,950,372 | MDExOlB1bGxSZXF1ZXN0Njg2MDkzOTQ3 | 12,591 | Fix MT5 init | {
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This PR fixes the MT5 init to make sure to always have the tokenizer available (even if tokenizers or sentencepiece is not available).
Fixes #12588 | {
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https://api.github.com/repos/huggingface/transformers/issues/12590 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12590/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12590/comments | https://api.github.com/repos/huggingface/transformers/issues/12590/events | https://github.com/huggingface/transformers/pull/12590 | 939,937,714 | MDExOlB1bGxSZXF1ZXN0Njg2MDgzMTA1 | 12,590 | flax model parallel training | {
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"This is typically done using using various load balancing methods, e.g. deepspeed pipe has:\r\nhttps://www.deepspeed.ai/tutorials/pipeline/#load-balancing-pipeline-modules\r\n\r\npytorch has these too but I can't find any mentions of these in their docs. \r\nHave to go to the source:\r\nhttps://github.com/pytorch/... | 1,625 | 1,626 | 1,626 | MEMBER | null | # What does this PR do?
Adds model parallel training example for GPTNeo using jax's [`pjit`](https://jax.readthedocs.io/en/latest/jax.experimental.pjit.html) transformation.
(This example probably just works on a single TPU v3-8).
This should enable training bigger models like 1.3B GPTNeo on a single TPU V3-8.
... | {
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"You need to explicitly `git lfs track` the files (of file name patterns) that are to be stored in LFS",
"Here it might be your tfevent files, so you can `git lfs track \"*tfevents*\"`?",
"Solved it by doing the following.\r\n\r\n\r\n1.Tracking the file with LFS \r\n```\r\ngit lfs track filename\r\n```\r\n2 Ass... | 1,625 | 1,625 | 1,625 | NONE | null | After running a MLM for 69000 steps
https://huggingface.co/birgermoell/roberta-swedish-scandi/tree/main
the model crashed and now I get an error when trying to upload to the hub. The same error was responsible for stopping the training.
```
Uploading LFS objects: 100% (2/2), 998 MB | 0 B/s, done. ... | {
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https://api.github.com/repos/huggingface/transformers/issues/12588 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12588/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12588/comments | https://api.github.com/repos/huggingface/transformers/issues/12588/events | https://github.com/huggingface/transformers/issues/12588 | 939,903,314 | MDU6SXNzdWU5Mzk5MDMzMTQ= | 12,588 | 'MT5Tokenizer' is not defined (on Google colab) | {
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"Fixed it for now - `!pip install git+https://github.com/huggingface/transformers.git@b29c394` ",
"Should be fixed now, thanks for reporting!"
] | 1,625 | 1,625 | 1,625 | NONE | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: `transformers-4.9.0.dev0`
- Platform: Google Colab
- Python version: `3.7.10`
- PyTorch version (GPU?): `1... | {
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https://api.github.com/repos/huggingface/transformers/issues/12587 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12587/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12587/comments | https://api.github.com/repos/huggingface/transformers/issues/12587/events | https://github.com/huggingface/transformers/issues/12587 | 939,899,494 | MDU6SXNzdWU5Mzk4OTk0OTQ= | 12,587 | OOM during saving step | {
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"cc @sgugger ",
"I think this is more on the DeepSpeed side so cc-ing @stas00 to confirm.",
"Thank you for the full log.\r\n\r\nYes, it's on the deepspeed side. \r\n\r\nAs you can see in https://huggingface.co/transformers/master/main_classes/deepspeed.html#getting-the-model-weights-out if you use:\r\n\r\n```\r... | 1,625 | 1,626 | 1,626 | NONE | null | I'm trying to train the Blenderbot-9B model using the Deepspeed integration on 8 GPUs, each of them has 16GB VRAM (one node).
Script:
`deepspeed --hostfile myhostfile \
${_PATH}/examples/pytorch/summarization/run_summarization.py \
--model_name_or_path hyunwoongko/blenderbot-9B \
--do_train \
--... | {
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https://api.github.com/repos/huggingface/transformers/issues/12586 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12586/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12586/comments | https://api.github.com/repos/huggingface/transformers/issues/12586/events | https://github.com/huggingface/transformers/pull/12586 | 939,879,449 | MDExOlB1bGxSZXF1ZXN0Njg2MDMyNTM0 | 12,586 | Fix caching issue #12536 | {
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"Note: Tests will have to be changed if you want to go this way, I would imagine it's a bit too general of a fix to be honest.",
"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 th... | 1,625 | 1,629 | 1,629 | CONTRIBUTOR | null | # What does this PR do?
This PR is a proposed fix to issue #12536 . It does so by simply logging the unfound file instead of raising an error causing program execution, in the special case of non-existent optional vocab files which are handled in the case `local_files_only=True` (`FileNotFoundError`) and the case wh... | {
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https://api.github.com/repos/huggingface/transformers/issues/12585 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12585/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12585/comments | https://api.github.com/repos/huggingface/transformers/issues/12585/events | https://github.com/huggingface/transformers/issues/12585 | 939,847,851 | MDU6SXNzdWU5Mzk4NDc4NTE= | 12,585 | Error when running wav2vec2 embeddings | {
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"Can you copy-paste a reproducible code snippet here (create dummy data if necessary) ? :-) ",
"Made a colab that reproduced the error.\r\nhttps://colab.research.google.com/drive/1JpZ33M3tCKJBK6XZeDhj4u30roWKQ63s?usp=sharing",
"I can't run the colab as `processor` is commented out",
"The main problem is the ... | 1,625 | 1,628 | 1,628 | NONE | null | While trying to extract wav2vec2 embeddings I get the following errors.
e "feature_extractor.py", line 80, in <module>
feature_extractor("/home/bmoell/data/media.talkbank.org/dementia/English/Pitt/Control/cookie")
File "feature_extractor.py", line 36, in feature_extractor
get_wav2vecembeddings_from_audi... | {
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"@patrickvonplaten \r\n",
"Hey @vivekvkashyap,\r\ninstead of putting a screenshot here - could you maybe copy paste the link to your google colab instead so that we can reproduce the error?\r\n\r\nThank you!",
"@patrickvonplaten i have added the colab notebook in the section To Reproduce\r\n",
"@patil-suraj\... | 1,625 | 1,626 | 1,626 | NONE | null | Hi,Trying to do FlaxGPT2ForMultipleChoice.I am trying to run GPT2 using hugging face for TPU's.It is showing tuple out of index.But when i run it in CPU there is no such error.Even when i run a simple model without any code of mine it is also behaving the same in TPU.
 clearly states it has to be a `PreTrainedTokenizerBase`, so either a `PreTrainedTokenizer` or a `PreTrai... | 1,625 | 1,625 | 1,625 | CONTRIBUTOR | null | ## Environment info
- `transformers` version: 4.8.2
- Platform: Linux-5.3.0-53-generic-x86_64-with-debian-buster-sid
- Python version: 3.7.10
- PyTorch version (GPU?): 1.9.0+cu102 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not install... | {
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As seen on [tokenizers#748](https://github.com/huggingface/tokenizers/issues/748) it's possible to avoid the UnigramTrainer forgetting about the unknown token if we set it properly as a kwarg when defining the trainer. This PR does that to avoid messing with the json after. | {
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"cc @julien-c @LysandreJik @sgugger @patil-suraj - For Vision and Speech models we probably should create a `AutoProcessor` and adapt the default website widget to not use `AutoTokenizer` for Vision & Speech",
"There is the `AutoFeatureExtractor` class already for vision (since there are no processors there).",
... | 1,625 | 1,686 | 1,629 | NONE | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: 4.9.0.dev0
- Platform: Linux-5.4.0-1043-gcp-x86_64-with-glibc2.29
- Python version: 3.8.10
- PyTorch version... | {
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https://api.github.com/repos/huggingface/transformers/issues/12580 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12580/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12580/comments | https://api.github.com/repos/huggingface/transformers/issues/12580/events | https://github.com/huggingface/transformers/issues/12580 | 939,706,654 | MDU6SXNzdWU5Mzk3MDY2NTQ= | 12,580 | Unable to quantize Google's LaBSE model using convert_graph_to_onnx.py | {
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"Indeed, this looks like a memory error!",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues that do not follow the [contributing guidelines](https://github.com/huggingf... | 1,625 | 1,629 | 1,629 | NONE | null | ## Environment Info:
Experiment was performed on Google Colab, RAM: 12.69GB
Also experiment on machine with ~20GB RAM available.
### Who can help
@LysandreJik @sgugger @SilvanK4t1qbit
## Information
I'm unable to quantize Google's [`setu4993/LaBSE`](https://huggingface.co/setu4993/LaBSE) model using script [`... | {
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https://api.github.com/repos/huggingface/transformers/issues/12579 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12579/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12579/comments | https://api.github.com/repos/huggingface/transformers/issues/12579/events | https://github.com/huggingface/transformers/issues/12579 | 939,558,818 | MDU6SXNzdWU5Mzk1NTg4MTg= | 12,579 | ImportError: cannot import name 'LineByLineTextDataset' from 'transformers' (unknown location) | {
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"Yes this notebook is deprecated, you should look at the new version [here](https://github.com/huggingface/notebooks/blob/master/examples/language_modeling_from_scratch.ipynb) (or on [colab](https://colab.research.google.com/github/huggingface/notebooks/blob/master/examples/language_modeling_from_scratch.ipynb)).\r... | 1,625 | 1,629 | 1,629 | NONE | null | when I tried to run the following codes as in **https://huggingface.co/blog/how-to-train** , it raised a bug:
from transformers import LineByLineTextDataset
dataset = LineByLineTextDataset(
tokenizer=tokenizer,
file_path="./oscar.eo.txt",
block_size=128,
)
ImportError: cannot import name 'Line... | {
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https://api.github.com/repos/huggingface/transformers/issues/12578 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12578/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12578/comments | https://api.github.com/repos/huggingface/transformers/issues/12578/events | https://github.com/huggingface/transformers/issues/12578 | 939,534,652 | MDU6SXNzdWU5Mzk1MzQ2NTI= | 12,578 | tuple index out of range for FlaxMBartForConditionalGeneration | {
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"Hi @bhavitvyamalik \r\n\r\nI tried this on TPU VM and it works. Where did you try it colab TPU or TPU VM ? ",
"I tried this on Colab. Wanted to test the pipeline here before shifting it TPU VM. Is there any way to run it on google colab?",
"Not sure, I will try to see what's the issue with colab. But it should... | 1,625 | 1,659 | 1,626 | CONTRIBUTOR | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: 4.9.0.dev0 (installed from source)
- Platform: Google colab
- Python version: 3.7.10
- Using TPU in script?:... | {
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https://api.github.com/repos/huggingface/transformers/issues/12577 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12577/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12577/comments | https://api.github.com/repos/huggingface/transformers/issues/12577/events | https://github.com/huggingface/transformers/pull/12577 | 939,521,676 | MDExOlB1bGxSZXF1ZXN0Njg1NzI5MDY3 | 12,577 | [Work In Progress] SentenceTransformer implementation based on CLIP | {
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"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/master/CONTRIBUTING.md)... | 1,625 | 1,629 | 1,629 | NONE | null | # What does this PR do?
Sentence Transformer Flax implementation for Flax/JAX week.
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [ ] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/master/CON... | {
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"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/master/CONTRIBUTING.md)... | 1,625 | 1,689 | 1,629 | NONE | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: 4.5.1
- Platform: Linux-5.2.18-200.fc30.x86_64-x86_64-with-fedora-30-Thirty
- Python version: 3.7.4
- PyTorc... | {
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https://api.github.com/repos/huggingface/transformers/issues/12575 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12575/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12575/comments | https://api.github.com/repos/huggingface/transformers/issues/12575/events | https://github.com/huggingface/transformers/issues/12575 | 939,407,755 | MDU6SXNzdWU5Mzk0MDc3NTU= | 12,575 | HTTPSConnectionPool(host='cdn-lfs.huggingface.co', port=443): Max retries exceeded | {
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"Looks like a networking or DNS error. Can you try again, or try from another machine/network?",
"Dear @julien-c \r\n\r\nThank you for the assistance. We will try again to run this.\r\n\r\nKind regards,\r\n\r\nMY",
"This issue has been automatically marked as stale because it has not had recent activity. If you... | 1,625 | 1,694 | 1,629 | NONE | null | Dear,
I am new in Transformers, I just tried to run the syntax below:
from transformers import BertForSequenceClassification, AdamW, BertConfig
model = BertForSequenceClassification.from_pretrained(
"bert-base-cased",
num_labels = 2,
output_attentions = False,
output_hidden_states = False
... | {
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https://api.github.com/repos/huggingface/transformers/issues/12574 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12574/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12574/comments | https://api.github.com/repos/huggingface/transformers/issues/12574/events | https://github.com/huggingface/transformers/pull/12574 | 939,379,257 | MDExOlB1bGxSZXF1ZXN0Njg1NjExMzgx | 12,574 | [model.from_pretrained] raise exception early on failed load | {
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(github produces some weird replay effects when re-using a branch that it assigns by default when editing on gi... | {
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https://api.github.com/repos/huggingface/transformers/issues/12573 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12573/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12573/comments | https://api.github.com/repos/huggingface/transformers/issues/12573/events | https://github.com/huggingface/transformers/issues/12573 | 939,378,380 | MDU6SXNzdWU5MzkzNzgzODA= | 12,573 | PEGASUS using ONNX | {
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"Hello @karimfayed! We're in the process of switching our approach relative to using the ONNX converter. See the following PR https://github.com/huggingface/transformers/pull/11786.\r\n\r\nIt has support for BART, so enabling support for Pegasus should be fairly simple. Please let us know if you run into any issues... | 1,625 | 1,629 | 1,629 | NONE | null | Hello @patrickvonplaten. , I just uploaded my fine-tuned model to the hub and I wanted to use ONNX to convert the pytorch model and be able to use it in a JavaScript back-end.
**I used the following command:**
`!python3 -m transformers.convert_graph_to_onnx --model Karimfayed/pegasus-SAMSum --framework pt pegasus-SA... | {
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https://api.github.com/repos/huggingface/transformers/issues/12572 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12572/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12572/comments | https://api.github.com/repos/huggingface/transformers/issues/12572/events | https://github.com/huggingface/transformers/issues/12572 | 939,355,997 | MDU6SXNzdWU5MzkzNTU5OTc= | 12,572 | push_to_hub related issues (from Google Colab) | {
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"Are you inside a Colab?\r\n\r\nYou might want to try `huggingface_hub.Repository` and pass in an authentication token\r\n",
"To write to the repo, you'll also need to login with `!huggingface-cli login`\r\n\r\nOnce you've done that, if you want to use only git commands without passing by the `Repository` class, ... | 1,625 | 1,629 | 1,629 | NONE | null | I am trying to write a transformer model to a repo at huggingface.co
!git push doesn't work after successful !git add . and !git commit
fatal: could not read username for https://huggingface.co no such device or address | {
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https://api.github.com/repos/huggingface/transformers/issues/12571 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12571/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12571/comments | https://api.github.com/repos/huggingface/transformers/issues/12571/events | https://github.com/huggingface/transformers/issues/12571 | 939,354,089 | MDU6SXNzdWU5MzkzNTQwODk= | 12,571 | AutoTokenizer not loading gpt2 model on instance without internet connection even after caching model | {
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"Seemed to have fixed it by following this https://github.com/huggingface/transformers/issues/9687\r\nand using transformers 4.5.1 instead",
"Same problem as #12536. @LysandreJik ",
"i got the same error for load model \"bert-base-uncased\"",
"This issue has been automatically marked as stale because it has ... | 1,625 | 1,650 | 1,629 | NONE | null | I am trying to first download and cache the GPT2 Tokenizer to use on an instance that does not have internet connection. I am able to download the tokenizer on my ec2 instance that does have an internet connection but when i copy over the directory to my instance that does not have the connection it gives a connection ... | {
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https://api.github.com/repos/huggingface/transformers/issues/12570 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12570/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12570/comments | https://api.github.com/repos/huggingface/transformers/issues/12570/events | https://github.com/huggingface/transformers/issues/12570 | 939,345,183 | MDU6SXNzdWU5MzkzNDUxODM= | 12,570 | Can't Select Specific GPU by TrainingArguments | {
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"You should use the env variable `CUDA_VISIBLE_DEVICES` to set the GPUs you want to use. If you have multiple GPUs available, the `Trainer` will use all of them, that is expected and not a bug.",
"This issue has been automatically marked as stale because it has not had recent activity. If you think this still nee... | 1,625 | 1,692 | 1,629 | NONE | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: 4.8.2
- Platform: Jupyter Notebook on Ubuntu
- Python version: 3.7
- PyTorch version (GPU?): 1.8.0+cu111
- ... | {
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https://api.github.com/repos/huggingface/transformers/issues/12569 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12569/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12569/comments | https://api.github.com/repos/huggingface/transformers/issues/12569/events | https://github.com/huggingface/transformers/pull/12569 | 939,257,467 | MDExOlB1bGxSZXF1ZXN0Njg1NTA2NTUz | 12,569 | Remove logging of GPU count etc from run_t5_mlm_flax.py | {
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"@patrickvonplaten Hey Patrick can you please check this PR?"
] | 1,625 | 1,628 | 1,625 | CONTRIBUTOR | null | Successfully logging this information requires Pytorch. For the purposes of this script we are not using Pytorch.
# What does this PR do?
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"You should update `<pt, tf>` to reflect the library you want to use to export the graph. Either `pt` or `tf`.",
"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 d... | 1,625 | 1,629 | 1,629 | NONE | null | I have fine-tuned PEGASUS model for abstractive summarization using [this script](https://gist.github.com/jiahao87/50cec29725824da7ff6dd9314b53c4b3) which uses huggingface.
The output model is in pytorch.
On huggingface [docs](https://huggingface.co/transformers/serialization.html) the following is supposed to do... | {
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https://api.github.com/repos/huggingface/transformers/issues/12567 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12567/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12567/comments | https://api.github.com/repos/huggingface/transformers/issues/12567/events | https://github.com/huggingface/transformers/pull/12567 | 939,123,384 | MDExOlB1bGxSZXF1ZXN0Njg1MzkyODIy | 12,567 | Init pickle | {
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This PR is an alternative to #12552 and properly sets `_LazyModule` as a class used in all inits (no custom subclasses anymore) to make the `transformers` module picklable. It also cleans up nicely the inits.
The only downside is that new models started before this PR but not yet merged wi... | {
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Fix loading config when the model is of type `clip_vision_model`. | {
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"strictly speaking, tensorboard.dev is not a part of tfhub.dev, is it?\r\n\r\n(sorry for piggybacking on this tiny PR 😂)",
"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 is... | 1,625 | 1,681 | 1,628 | MEMBER | null | {
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"Hello, thank you for your contribution! How do you envision using this? Running this locally on a smallish 23GB cache takes 46 seconds on my machine, so this isn't something that can be ran every time.\r\n\r\nHow would you recommend we approach solving #12557 using your proposal?",
"Hey, thanks for your reply.\r... | 1,625 | 1,629 | 1,629 | CONTRIBUTOR | null | # What does this PR do?
A prototype function is added to check cache consistency.
Note that it does not verify the data is correct, just that the data hashes are consistent.
It may be used as: `python -c 'from transformers import file_utils; file_utils.fsck_etags()'`
No output means all the local etags match ... | {
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https://api.github.com/repos/huggingface/transformers/issues/12563 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12563/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12563/comments | https://api.github.com/repos/huggingface/transformers/issues/12563/events | https://github.com/huggingface/transformers/issues/12563 | 938,976,171 | MDU6SXNzdWU5Mzg5NzYxNzE= | 12,563 | Issue in terms of accuracy of onnx converted models of SQUAD based ROBERTA on legal domain. | {
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"Hello, thanks for opening an issue! We try to keep the github issues for bugs/feature requests.\r\nCould you ask your question on the [forum](https://discuss.huggingface.co) instead?\r\n\r\nIf you'd like us to investigate this as a bug, please provide additional information so that we may help; for example, the ID... | 1,625 | 1,629 | 1,629 | NONE | null | Hi Team,
I was using the hugging face utility from latest transformer version to convert a SQUAD based Roberta model to ONNX. After conversion, I observed the accuracy has dipped significantly even though I never quantized the model. Any suggestions or advice what could have been the reason. Does the ONNX conversi... | {
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"Failure looks unrelated but circleCI is not letting me re-run the tests, so merging and watching master."
] | 1,625 | 1,625 | 1,625 | COLLABORATOR | null | # What does this PR do?
As pointed out by #12479, the `isinstance` check for `IterableDataset` and its subclasses does not look at the type, but whether the class implements some methods, but not all attributes. This PR adds a double check when necessary to avoid an `AttributeError`.
Fixes #12479 | {
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Currently, when someone uses an `IterableDataset` inside the `Trainer`, the training loop stops after 3 iterations over the iterable dataset, this PR fixes that to just rely on `max_steps` (has to be set or there is an error at init).
Fixes #12499 | {
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<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
Then, please replace this w... | {
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This PR adds a fix in the `group_lengths` function used in all language modeling examples so it also works for short datasets (without returning a dataset of length 0). The fix was discussed in the issue mentioned below.
Fixes #12438 | {
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https://api.github.com/repos/huggingface/transformers/issues/12557 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12557/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12557/comments | https://api.github.com/repos/huggingface/transformers/issues/12557/events | https://github.com/huggingface/transformers/issues/12557 | 938,874,349 | MDU6SXNzdWU5Mzg4NzQzNDk= | 12,557 | Cached data not checked for integrity | {
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"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/master/CONTRIBUTING.md)... | 1,625 | 1,629 | 1,629 | CONTRIBUTOR | null | ### Who can help
@julien-c @sgugger
## To reproduce
Steps to reproduce the behavior:
1. Mutate a cache file or cut the internet while downloading
2. Load the data e.g. via a pipeline
3. Either the incorrect data loads fine, or an unhelpful error is thrown
## Expected behavior
The files are hashed i... | {
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https://api.github.com/repos/huggingface/transformers/issues/12556 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12556/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12556/comments | https://api.github.com/repos/huggingface/transformers/issues/12556/events | https://github.com/huggingface/transformers/issues/12556 | 938,855,928 | MDU6SXNzdWU5Mzg4NTU5Mjg= | 12,556 | Slow gpt2 training on TPU with run_clm_flax.py | {
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"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/master/CONTRIBUTING.md)... | 1,625 | 1,629 | 1,629 | NONE | null | ## Environment info
- `transformers` version: 4.9.0.dev0
- Platform: Linux-5.4.0-1043-gcp-x86_64-with-glibc2.29
- Python version: 3.8.10
- PyTorch version (GPU?): 1.9.0+cpu (False)
- Tensorflow version (GPU?): 2.5.0 (False)
- Flax version (CPU?/GPU?/TPU?): 0.3.4 (cpu)
- Jax version: 0.2.16
- JaxLib version: 0... | {
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https://api.github.com/repos/huggingface/transformers/issues/12555 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12555/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12555/comments | https://api.github.com/repos/huggingface/transformers/issues/12555/events | https://github.com/huggingface/transformers/pull/12555 | 938,838,052 | MDExOlB1bGxSZXF1ZXN0Njg1MTQ5NjI3 | 12,555 | Display error message for pipeline loading failures | {
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"This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.\n\nPlease note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/master/CONTRIBUTING.md)... | 1,625 | 1,631 | 1,631 | CONTRIBUTOR | null | # What does this PR do?
Displays an error message when a model class fails to load a model for a pipeline.
This helped me understand what was going on when pipelines failed to load.
## Who can review?
Anyone in the community is free to review the PR once the tests have passed. Feel free to tag
members/cont... | {
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https://api.github.com/repos/huggingface/transformers/issues/12554 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12554/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12554/comments | https://api.github.com/repos/huggingface/transformers/issues/12554/events | https://github.com/huggingface/transformers/issues/12554 | 938,814,942 | MDU6SXNzdWU5Mzg4MTQ5NDI= | 12,554 | Issue converting Flax model to Pytorch | {
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"Running the following command:\r\n\r\n```python\r\nfrom transformers import RobertaForMaskedLM, FlaxRobertaForMaskedLM\r\nimport numpy as np\r\nimport torch \r\n\r\nmodel_fx = FlaxRobertaForMaskedLM.from_pretrained(\"birgermoell/roberta-swedish\")\r\nmodel_pt = RobertaForMaskedLM.from_pretrained(\"birgermoell/robe... | 1,625 | 1,652 | 1,625 | NONE | null | When using the following script to convert a trained flax model to pytorch, the model seems to perform extremely poorly.
```
from transformers import RobertaForMaskedLM
model = RobertaForMaskedLM.from_pretrained("./", from_flax=True)
model.save_pretrained("./")
```
```python
from transformers import RobertaF... | {
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https://api.github.com/repos/huggingface/transformers/issues/12553 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12553/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12553/comments | https://api.github.com/repos/huggingface/transformers/issues/12553/events | https://github.com/huggingface/transformers/issues/12553 | 938,765,007 | MDU6SXNzdWU5Mzg3NjUwMDc= | 12,553 | `model_name_or_path` does not seem to load in previously trained checkpoints | {
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"Can you post a code snippet or make a Colab to reproduce the error?",
"@MalteHB it would be nice if you could provide an exact code snippet that we can copy paste to reproduce the error. Otherwise I don't really know what code you've run. I tried re-starting to train from a pretrained checkpoint and it works jus... | 1,625 | 1,625 | 1,625 | NONE | null | ## Environment info
- `transformers` version: 4.9.0.dev0
- Platform: Linux-5.4.0-1043-gcp-x86_64-with-glibc2.29
- Python version: 3.8.10
- PyTorch version (GPU?): 1.9.0+cu102 (False)
- Tensorflow version (GPU?): 2.5.0 (False)
- Flax version (CPU?/GPU?/TPU?): 0.3.4 (cpu)
- Jax version: 0.2.16
- JaxLib version: 0... | {
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https://api.github.com/repos/huggingface/transformers/issues/12552 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12552/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12552/comments | https://api.github.com/repos/huggingface/transformers/issues/12552/events | https://github.com/huggingface/transformers/pull/12552 | 938,709,151 | MDExOlB1bGxSZXF1ZXN0Njg1MDQyMzAy | 12,552 | Make LazyModule picklable | {
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"This doesn't work sadly, because it then sets the wrong `__file__` and `__path__` attribute to the `transformers` module:\r\n```py\r\nimport transformers\r\ntransformers.__file__\r\n```\r\nwill return something like `'/home/sgugger/git/transformers/src/transformers/file_utils.py'` instead of `'/home/sgugger/git/tr... | 1,625 | 1,651 | 1,628 | MEMBER | null | From this issue https://github.com/huggingface/transformers/issues/12549 it seems that it could be nice to have the `transformers` module picklable, since it can be useful for the `datasets` library's caching for example.
The only object that is currently not picklable is the `_LazyModule`.
In this PR I just made... | {
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https://api.github.com/repos/huggingface/transformers/issues/12551 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12551/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12551/comments | https://api.github.com/repos/huggingface/transformers/issues/12551/events | https://github.com/huggingface/transformers/pull/12551 | 938,688,705 | MDExOlB1bGxSZXF1ZXN0Njg1MDI1ODY2 | 12,551 | [trainer] add option to ignore keys for the train function too (#11719) | {
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This pull request adds the option of ignoring certain output keys for evaluation during the training phase. As of now, this option is only available for `predict` and `evaluation` methods of the `Trainer` class which can only be called after the training.
Fixes #11719
Changes:
1. Add... | {
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https://api.github.com/repos/huggingface/transformers/issues/12550 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12550/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12550/comments | https://api.github.com/repos/huggingface/transformers/issues/12550/events | https://github.com/huggingface/transformers/pull/12550 | 938,668,770 | MDExOlB1bGxSZXF1ZXN0Njg1MDA5NDcx | 12,550 | This will reduce "Already borrowed error": | {
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"@LysandreJik I would welcome your look on this too. "
] | 1,625 | 1,643 | 1,625 | CONTRIBUTOR | null | # What does this PR do?
Original issue https://github.com/huggingface/tokenizers/issues/537
The original issue is caused by transformers calling many times
mutable functions on the rust tokenizers.
Rust needs to guarantee that only 1 agent has a mutable reference
to memory at a given time (for many reasons which don'... | {
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"Could you please attach the final script you used or a branch that we can use to reproduce your code exactly? Thanks.\r\n\r\nnote: I took the liberty to edit your OP to use code formatting which is much easier to read. If possible use a similar approach in future reports. Thank you!\r\n",
"> Could you please att... | 1,625 | 1,625 | 1,625 | NONE | null | @stas00 edit: please see https://github.com/huggingface/transformers/issues/12549#issuecomment-875287701 for the short reproduction script.
----------------
## Environment info
- `transformers` version: 4.9.0.dev0
- Platform: Linux with Nvidia P40
- Python version: 3.8.0
- PyTorch version (GPU?): 1.8.0
- T... | {
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<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
Then, please replace this w... | {
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"Hi,\r\n\r\nyou are initializing a `CamembertForSequenceClassification` model with weights from `camembert-base`. This means that you are only initializing the base of the model, not the classification head. Hence, the head will have randomly initialized weights. This is also given as a warning:\r\n\r\n```\r\nSome ... | 1,625 | 1,629 | 1,629 | NONE | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: 4.3.3
- Platform: Windows
- Python version: 3.9
- PyTorch version (GPU?): 1.9.0
- Tensorflow version (GPU?)... | {
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https://api.github.com/repos/huggingface/transformers/issues/12546 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/12546/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/12546/comments | https://api.github.com/repos/huggingface/transformers/issues/12546/events | https://github.com/huggingface/transformers/issues/12546 | 938,282,211 | MDU6SXNzdWU5MzgyODIyMTE= | 12,546 | Necessary resources for training a (small/tiny) LM from scratch? | {
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"Hi,\r\n\r\ncould you please ask this question on the [forum](https://discuss.huggingface.co/) rather than here? We like to keep Github issues for bugs/feature requests.\r\n\r\nThanks!",
"Sure, thanks @NielsRogge . Here is a [link to the post on the forum](https://discuss.huggingface.co/t/necessary-resources-for-... | 1,625 | 1,625 | 1,625 | NONE | null | This is mostly a follow up question in regards to this hugging face blog post on training a LM (and a tokenizer) from scratch :
https://huggingface.co/blog/how-to-train
I think this may be an ideal approach to try out in my situation, but I'm wondering about cost and how much data I really need to train a LM from s... | {
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