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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n",
"I encounter one case: `if object: do something` will trigger this error, while if you use the condition `if object is not None` you wil... | 1,594 | 1,678 | 1,600 | NONE | null | INFO:tensorflow:Error reported to Coordinator: in converted code:
/data0/liuyongkang/.conda/envs/tf2/lib/python3.7/site-packages/transformers/trainer_tf.py:511 _forward *
per_example_loss, _ = self._run_model(features, labels, True)
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n"
] | 1,594 | 1,600 | 1,600 | NONE | null | # 🐛 Bug
## Information
Model I am using (RoBerta):
Language I am using the model on (English):
The problem arises when using:
* [ ] the official example scripts: (give details below)
inputs = tokenizer(
text_a,
text_b,
add_special_tokens=True,
... | {
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https://api.github.com/repos/huggingface/transformers/issues/5718 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5718/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5718/comments | https://api.github.com/repos/huggingface/transformers/issues/5718/events | https://github.com/huggingface/transformers/pull/5718 | 656,054,810 | MDExOlB1bGxSZXF1ZXN0NDQ4NDIwODM5 | 5,718 | [Don't merge - Bert2Bert] Add training scripts and slight changes to Trainer | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/5718?src=pr&el=h1) Report\n> Merging [#5718](https://codecov.io/gh/huggingface/transformers/pull/5718?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/fa5423b1695cd24856bcff47214172e0f540d924&el=desc) will **decrease... | 1,594 | 1,594 | 1,594 | MEMBER | null | Just a draft to keep track of Bert2Bert summary training. | {
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https://api.github.com/repos/huggingface/transformers/issues/5717 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5717/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5717/comments | https://api.github.com/repos/huggingface/transformers/issues/5717/events | https://github.com/huggingface/transformers/pull/5717 | 656,048,363 | MDExOlB1bGxSZXF1ZXN0NDQ4NDE1NTI2 | 5,717 | Update tokenization_t5.py | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/5717?src=pr&el=h1) Report\n> Merging [#5717](https://codecov.io/gh/huggingface/transformers/pull/5717?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/7096e47513127d4f072111a7f58f109842a2b6b0&el=desc) will **increase... | 1,594 | 1,594 | 1,594 | CONTRIBUTOR | null | Minor doc fix. | {
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https://api.github.com/repos/huggingface/transformers/issues/5716 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5716/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5716/comments | https://api.github.com/repos/huggingface/transformers/issues/5716/events | https://github.com/huggingface/transformers/pull/5716 | 655,962,156 | MDExOlB1bGxSZXF1ZXN0NDQ4MzQ1NjU5 | 5,716 | Add generic text classification example in TF | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/5716?src=pr&el=h1) Report\n> Merging [#5716](https://codecov.io/gh/huggingface/transformers/pull/5716?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/7cbf0f722d23440f3342aafc27697b50ead5996b?el=desc) will **increase... | 1,594 | 1,600 | 1,600 | CONTRIBUTOR | null | This PR adds a new example script for text classification in TensorFlow with the :hugs:nlp lib. The script allows users to run a text classification task on their own CSV files. | {
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https://api.github.com/repos/huggingface/transformers/issues/5715 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5715/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5715/comments | https://api.github.com/repos/huggingface/transformers/issues/5715/events | https://github.com/huggingface/transformers/issues/5715 | 655,946,056 | MDU6SXNzdWU2NTU5NDYwNTY= | 5,715 | Extending vocabulary by a large size crashes RobertaTokenizerFast | {
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"I tried using BertTokenizerFast but the problem persists.",
"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n",
"Is there any update on the issue? \r\nI have the same problem...",
"Al... | 1,594 | 1,659 | 1,600 | NONE | null | # 🐛 Bug
## Information
Model I am using: RoBERTa
Language I am using the model on: English
The problem arises when using:
* [ ] the official example scripts: (give details below)
* [x] 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/5714 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5714/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5714/comments | https://api.github.com/repos/huggingface/transformers/issues/5714/events | https://github.com/huggingface/transformers/issues/5714 | 655,936,236 | MDU6SXNzdWU2NTU5MzYyMzY= | 5,714 | facebook/bart-large-mnli input format | {
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"Thanks for the kind words!\r\n\r\n1) definitely needs to be `<s>` instead of `[EOS]`, but the tokenizer should do this for you.\r\n2) I suspect that the tokenizer takes pairs of sentences. I know that @VictorSanh and I have used that model inside the run_glue.py script and gotten reasonable accuracy.\r\nThe logic ... | 1,594 | 1,600 | 1,600 | NONE | null | Hi folks,
First off, I've been using you guys since the early days and think the effort and time that you put in is just phenomenal. Thank you. All the postgrads I know at the Uni of Edinburgh love HuggingFace.
My question concerns the usage of the ```facebook/bart-large-mnli``` checkpoint - specifically the inp... | {
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https://api.github.com/repos/huggingface/transformers/issues/5713 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5713/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5713/comments | https://api.github.com/repos/huggingface/transformers/issues/5713/events | https://github.com/huggingface/transformers/issues/5713 | 655,933,739 | MDU6SXNzdWU2NTU5MzM3Mzk= | 5,713 | ONNX export broken for QA models | {
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"Might I also add that breaking regular PyTorch ONNX export like that with custom model output wrappers is IMO a Really Bad Idea (TM). Your `PreTrainedModel`'s are still `torch.nn.Module`'s, and as such should be exportable using standard `torch.onnx.export` APIs. \r\n\r\nTo make matters worse, the proposed `conver... | 1,594 | 1,595 | 1,595 | CONTRIBUTOR | null | # 🐛 Bug
## Information
Model I am using (Bert, XLNet ...): bert-base-uncased
Language I am using the model on (English, Chinese ...): -
The problem arises when using:
* [x] the official example scripts: convert_graph_to_onnx.py
* [x] my own modified scripts: any script attempting to do a regular torch.on... | {
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https://api.github.com/repos/huggingface/transformers/issues/5712 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5712/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5712/comments | https://api.github.com/repos/huggingface/transformers/issues/5712/events | https://github.com/huggingface/transformers/issues/5712 | 655,877,737 | MDU6SXNzdWU2NTU4Nzc3Mzc= | 5,712 | How to download Pre-trained T5 model? | {
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"```python \r\nfrom transformers import T5ForConditionalGeneration\r\n\r\nt5 = T5ForConditionalGeneration.from_pretrained(\"t5-small\")\r\n```\r\n\r\ndoes not work? ",
"@patrickvonplaten Thanks for the pointer, I tried & getting this:\r\n\r\n```\r\n>>> from transformers import T5ForConditionalGeneration\r\n>>> t5... | 1,594 | 1,598 | 1,598 | NONE | null | Hi,
I tried looking for ways to download & use T5-small pre-trained model but didn't get any API mentioned in documentation to download it. Though I found links but don't know will it work if I pass the path of the model?
Thanks in advance.. | {
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https://api.github.com/repos/huggingface/transformers/issues/5711 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5711/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5711/comments | https://api.github.com/repos/huggingface/transformers/issues/5711/events | https://github.com/huggingface/transformers/issues/5711 | 655,859,911 | MDU6SXNzdWU2NTU4NTk5MTE= | 5,711 | QA Pipeline: Key Error due to predicting a token outside of allowed context | {
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"Hi @tholor, \r\n\r\nThanks for reporting the issue. \r\n\r\nWe did have an issue where predictions were going out of bounds on QA pipeline and it has been fixed on master: \r\n\r\n```python\r\n>>> nlp = pipeline(\"question-answering\",model=\"distilbert-base-uncased-distilled-squad\",\r\n ... | 1,594 | 1,595 | 1,595 | CONTRIBUTOR | null | # 🐛 Bug
## Information
Model: distilbert
Language: English
The problem arises when using: QA inference via `pipeline`
The pipeline throws an exception when the model predicts a token that is not part of the document (e.g. final special token).
In the example below, the model predicts token 13 to be the end... | {
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https://api.github.com/repos/huggingface/transformers/issues/5710 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5710/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5710/comments | https://api.github.com/repos/huggingface/transformers/issues/5710/events | https://github.com/huggingface/transformers/issues/5710 | 655,835,194 | MDU6SXNzdWU2NTU4MzUxOTQ= | 5,710 | Attention heads attend equally after conversion from tensorflow checkpoint | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n"
] | 1,594 | 1,600 | 1,600 | NONE | null | # 🐛 Bug
## Information
Hi.
I'm using notebook https://github.com/jessevig/bertviz/blob/master/head_view_bert.ipynb from https://github.com/jessevig/bertviz for visualizing attention in the Bert model. Given example works fine with pytorch default models. The problem arises when I'm converting pre-trained (wit... | {
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https://api.github.com/repos/huggingface/transformers/issues/5709 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5709/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5709/comments | https://api.github.com/repos/huggingface/transformers/issues/5709/events | https://github.com/huggingface/transformers/issues/5709 | 655,699,157 | MDU6SXNzdWU2NTU2OTkxNTc= | 5,709 | Run Language Modeling on Colab TPU cores terminates | {
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"For the single core problem, I think it is related to how the trainer prepares the `epoch_loader` object [here](https://github.com/huggingface/transformers/blob/master/src/transformers/trainer.py#L480-L484).",
"Update: for the single core problem, removing ` / len(epoch_iterator)` part from this [line](https://g... | 1,594 | 1,595 | 1,595 | CONTRIBUTOR | null | # 🐛 Bug
## Information
Model I am using (Bert, XLNet ...): GPT2
Language I am using the model on (English, Chinese ...): English (wikitext-2)
The problem arises when using:
* [x] the official example scripts: (give details below)
* [ ] my own modified scripts: (give details below)
The tasks I am worki... | {
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https://api.github.com/repos/huggingface/transformers/issues/5708 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5708/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5708/comments | https://api.github.com/repos/huggingface/transformers/issues/5708/events | https://github.com/huggingface/transformers/issues/5708 | 655,667,265 | MDU6SXNzdWU2NTU2NjcyNjU= | 5,708 | For Roberta pretraining, how to enable large batch training using gradient accumulation? | {
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"Hi! You can use the `--gradient_accumulation_steps=N_STEPS` argument to the `run_language_modeling.py` script for that.\r\n\r\nYou can see all available flags by doing `python run_language_modeling.py --help`"
] | 1,594 | 1,595 | 1,595 | NONE | null | In the example code, where can I enable gradient accumulation for large batch size training. Thanks. https://github.com/huggingface/transformers/tree/master/examples/language-modeling | {
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https://api.github.com/repos/huggingface/transformers/issues/5707 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5707/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5707/comments | https://api.github.com/repos/huggingface/transformers/issues/5707/events | https://github.com/huggingface/transformers/issues/5707 | 655,617,793 | MDU6SXNzdWU2NTU2MTc3OTM= | 5,707 | Span Mask Fill | {
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"Maybe you can get inspiration from here: https://github.com/facebookresearch/SpanBERT",
"> Maybe you can get inspiration from here: https://github.com/facebookresearch/SpanBERT\r\n\r\n@RudrakshTuwani \r\n\r\nThank you for your response. I've actually tried to implement SpanBERT previously, but my status as a beg... | 1,594 | 1,600 | 1,600 | NONE | null | I see that Transformers does not support Ernie, but am in search of a way to [MASK] phrases. Can somebody guide me to an alternative to Ernie, code, or a way I could do this myself? | {
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https://api.github.com/repos/huggingface/transformers/issues/5706 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5706/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5706/comments | https://api.github.com/repos/huggingface/transformers/issues/5706/events | https://github.com/huggingface/transformers/issues/5706 | 655,611,191 | MDU6SXNzdWU2NTU2MTExOTE= | 5,706 | can't resume training from a saved checkpoint in run_glue | {
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"Thanks!",
"sorry, in the checkpoint directory I have 5 files (and not 2 as I wrote above):\r\npytorch_model.bin\r\ntraining_args.bin\r\nconfig.json\r\noptimizer.pt\r\nscheduler.pt\r\n",
"the vocabulary file is missing in the checkpoint folder. You can use the base model vocabulary by adding more parameter `--t... | 1,594 | 1,675 | 1,603 | NONE | null | # 🐛 Bug
Hi,
I'm using run_glue.py to train Roberta model. I ran the training for a few hours, but after 2 epochs it crashed due to low disk space. I now want to resume the training, and for that, I replaced the --model_name_or_path from roberta-base to [my checkpoint dir]. But then I get the following error:
"OSE... | {
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https://api.github.com/repos/huggingface/transformers/issues/5705 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5705/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5705/comments | https://api.github.com/repos/huggingface/transformers/issues/5705/events | https://github.com/huggingface/transformers/issues/5705 | 655,599,801 | MDU6SXNzdWU2NTU1OTk4MDE= | 5,705 | Any insight to this mystery issue? Using the Keras functional API results in whole deleted weights/layers for transformer layers. | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n"
] | 1,594 | 1,600 | 1,600 | CONTRIBUTOR | null | # ❓ Questions & Help
This is probably a Keras, tensorflow bug, but just wanted to check-in here in case I overlooked anything.
I've discovered a bug, where if transformer layers are copied from a transformer model, and used as individual layers, and then a Keras model is made using the functional API, this seems... | {
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https://api.github.com/repos/huggingface/transformers/issues/5704 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5704/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5704/comments | https://api.github.com/repos/huggingface/transformers/issues/5704/events | https://github.com/huggingface/transformers/pull/5704 | 655,596,265 | MDExOlB1bGxSZXF1ZXN0NDQ4MDQ2OTQ0 | 5,704 | Make the order of additional special tokens deterministic | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/5704?src=pr&el=h1) Report\n> Merging [#5704](https://codecov.io/gh/huggingface/transformers/pull/5704?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/0befb513278f6e42b722be340dbc667e0ba2718e&el=desc) will **decrease... | 1,594 | 1,596 | 1,596 | CONTRIBUTOR | null | In `SpecialTokensMixin.all_special_tokens_extended`, deduplication is performed by `all_toks = list(set(all_toks))`. However, this will change the ordering of additional special tokens, and the order depends on the hash seed of set data structure. This will result in non-deterministic id of additional special tokens ad... | {
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https://api.github.com/repos/huggingface/transformers/issues/5702 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5702/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5702/comments | https://api.github.com/repos/huggingface/transformers/issues/5702/events | https://github.com/huggingface/transformers/issues/5702 | 655,556,335 | MDU6SXNzdWU2NTU1NTYzMzU= | 5,702 | help：OSError: Model name 'ctrl' was not found in tokenizers model name list (ctrl). We assumed 'ctrl' was a path, a model identifier, or url to a directory containing vocabulary files named ['vocab.json', 'merges.txt'] but couldn't find such vocabulary files at this path or url. | {
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"As for me, I'm getting \r\n```\r\nOSError: Can't load weights for 'mrm8488/distill-bert-base-spanish-wwm-cased-finetuned-spa-squad2-es'. Make sure that:\r\n\r\n- 'mrm8488/distill-bert-base-spanish-wwm-cased-finetuned-spa-squad2-es' is a correct model identifier listed on 'https://huggingface.co/models'\r\n\r\n- or... | 1,594 | 1,595 | 1,595 | NONE | null | # ❓ Questions & Help
| {
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https://api.github.com/repos/huggingface/transformers/issues/5701 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5701/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5701/comments | https://api.github.com/repos/huggingface/transformers/issues/5701/events | https://github.com/huggingface/transformers/issues/5701 | 655,508,056 | MDU6SXNzdWU2NTU1MDgwNTY= | 5,701 | How to generate sentences from Transformer's sentence embeddings? | {
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"Sorry I'm not 100% sure, I get the question. Could you specify what you mean by `sentence embeddings` exactly and the output you would like with some code? :-) ",
"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you ... | 1,594 | 1,600 | 1,600 | NONE | null | Is it possible to use the pre-trained transformer models to generate sentences from sentence embeddings?
I konw I can get the continuous representations of a sentence with for example BertModel or GPT2Model.
But can I reconstruct the sentence directly from the sentence representations generated by BertModel, with hug... | {
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https://api.github.com/repos/huggingface/transformers/issues/5700 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5700/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5700/comments | https://api.github.com/repos/huggingface/transformers/issues/5700/events | https://github.com/huggingface/transformers/issues/5700 | 655,492,606 | MDU6SXNzdWU2NTU0OTI2MDY= | 5,700 | How to visualize the output of the encoder using T-sne plots? | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n"
] | 1,594 | 1,600 | 1,600 | NONE | null | # ❓ Questions & Help
<!-- The GitHub issue tracker is primarly intended for bugs, feature requests,
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https://api.github.com/repos/huggingface/transformers/issues/5699 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5699/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5699/comments | https://api.github.com/repos/huggingface/transformers/issues/5699/events | https://github.com/huggingface/transformers/issues/5699 | 655,457,789 | MDU6SXNzdWU2NTU0NTc3ODk= | 5,699 | Add beta 1 and beta 2 option in `TrainingArguments` for `AdamW` optimizer. | {
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"I'm not sure we would like to add this to the `TrainingArguments`. If we add all possible params this could quickly explode. Note that you can instantiate your own optimizer and pass it here: https://github.com/huggingface/transformers/blob/7096e47513127d4f072111a7f58f109842a2b6b0/src/transformers/trainer.py#L158\... | 1,594 | 1,594 | 1,594 | CONTRIBUTOR | null | I want to set the Adam Optimizers beta 2 to 0.98 - this is because I want to train a new RoBERTa LM. The paper sais, that it improves stability. The default is 0.999 and it can not be set in `TrainingArguments`.
Could you please add the option to specify beta 1 and 2 for AdamW in the `TrainingArguments`? `adam_epsil... | {
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https://api.github.com/repos/huggingface/transformers/issues/5698 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5698/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5698/comments | https://api.github.com/repos/huggingface/transformers/issues/5698/events | https://github.com/huggingface/transformers/pull/5698 | 655,402,697 | MDExOlB1bGxSZXF1ZXN0NDQ3OTAxNzE4 | 5,698 | Create README.md | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/5698?src=pr&el=h1) Report\n> Merging [#5698](https://codecov.io/gh/huggingface/transformers/pull/5698?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/0befb513278f6e42b722be340dbc667e0ba2718e&el=desc) will **decrease... | 1,594 | 1,594 | 1,594 | CONTRIBUTOR | null | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n"
] | 1,594 | 1,600 | 1,600 | NONE | null | # ❓ Questions & Help
## Details
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https://api.github.com/repos/huggingface/transformers/issues/5694 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5694/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5694/comments | https://api.github.com/repos/huggingface/transformers/issues/5694/events | https://github.com/huggingface/transformers/pull/5694 | 655,354,245 | MDExOlB1bGxSZXF1ZXN0NDQ3ODY3MzI1 | 5,694 | [Don't merge] Run make style on templates | {
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"It seems to be an isort version problem"
] | 1,594 | 1,651 | 1,594 | CONTRIBUTOR | null | When run `make style` locally, these files got modified.
I noticed that `black` and `isort` seem to have conflicts on these files. Is there a solution?
```
> make style
black --line-length 119 --target-version py35 examples templates tests src utils
reformatted /Users/canwenxu/transformers/src/transformers/__... | {
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https://api.github.com/repos/huggingface/transformers/issues/5693 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5693/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5693/comments | https://api.github.com/repos/huggingface/transformers/issues/5693/events | https://github.com/huggingface/transformers/issues/5693 | 655,346,586 | MDU6SXNzdWU2NTUzNDY1ODY= | 5,693 | __init__() missing 1 required positional argument: 'logits' | {
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"i faced the same error yesterday. Installing version 3.0.1 fixed the issue for me.",
"Installing one or two older versions can fix this. However, I will leave it here so that they know this bug exists in their newest version.",
"It appears that the CircleCI doesn't run gpu tests (or just multiple gpu?), all su... | 1,594 | 1,601 | 1,601 | NONE | null | # 🐛 Bug
## Information
Model I am using (Bert, XLNet ...):
Language I am using the model on (English, Chinese ...):
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:
* [x] an offici... | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/5692?src=pr&el=h1) Report\n> Merging [#5692](https://codecov.io/gh/huggingface/transformers/pull/5692?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/0befb513278f6e42b722be340dbc667e0ba2718e&el=desc) will **decrease... | 1,594 | 1,594 | 1,594 | CONTRIBUTOR | null | no functional change | {
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"Hi @vanh17 , your transformers version is old, `EvalPrediction` is not available in 2.5.1. You can install transformers from source and then run the examples. \r\n"
] | 1,594 | 1,594 | 1,594 | NONE | null | # 🐛 Bug
## Information
Model I am using (Bert, XLNet ...):
Language I am using the model on (English, Chinese ...):
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:
* [x] an offici... | {
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"I am not sure how to predict letters, but you can use BERT to predict words. ",
"I'd try to train a character-level model. Some of the Reformer models are pretrained in a char-level setting, if I remember correctly: https://huggingface.co/models?search=reformer\r\n\r\nIn the future however, this question is more... | 1,594 | 1,595 | 1,595 | NONE | null | Hi,
I am new on NLP, I want to predict missing letters in a sentence. Here is an example,
```text
I want to b _ _ the car because it is cheap.
```
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"If you add your model to the hub, you'll get the inference widget & API that you can use for demos or integration into your product: https://huggingface.co/docs",
"We don't currently have short-term plans to open source Write With Transformers's frontend\r\n\r\nFollowing up on what @clmnt said, we have an option... | 1,594 | 1,600 | 1,600 | NONE | null | I want to use Writing with Transform with my own model? My first though was that I could just download it and modify the source to point to my model., but I can't find WWT anywhere in the repo. Do I have to publish my model then make a request for you to add it? | {
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https://api.github.com/repos/huggingface/transformers/issues/5688 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5688/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5688/comments | https://api.github.com/repos/huggingface/transformers/issues/5688/events | https://github.com/huggingface/transformers/pull/5688 | 655,264,552 | MDExOlB1bGxSZXF1ZXN0NDQ3ODA2Njg5 | 5,688 | doc improvements | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/5688?src=pr&el=h1) Report\n> Merging [#5688](https://codecov.io/gh/huggingface/transformers/pull/5688?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/0267668c3d648c6e41afda97f5df8671ee880ac3&el=desc) will **decrease... | 1,594 | 1,594 | 1,594 | CONTRIBUTOR | null | a few documentation improvements - one variable name consistency rename, and the rest are small tweaks with one clarification. | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/5687?src=pr&el=h1) Report\n> Merging [#5687](https://codecov.io/gh/huggingface/transformers/pull/5687?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/0267668c3d648c6e41afda97f5df8671ee880ac3&el=desc) will **increase... | 1,594 | 1,604 | 1,603 | CONTRIBUTOR | null | This is a proposal for an update in the ONNX conversion:
- First, I investigated issue #4906 as I was having the same issue. This is due to a dependency on this [commit](https://github.com/pytorch/pytorch/commit/96989a2a114de9b77e7dd9495d62c4a8a549b40d) from the ONNX team available from version 1.5.0 of PyTorch, I the... | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/5686?src=pr&el=h1) Report\n> Merging [#5686](https://codecov.io/gh/huggingface/transformers/pull/5686?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/0267668c3d648c6e41afda97f5df8671ee880ac3&el=desc) will **increase... | 1,594 | 1,594 | 1,594 | CONTRIBUTOR | null | On github actions, even when the tests fail the job is green, presumably because of my artifacts change( #5318 ).
I am not clear on why this happens, but have verified that this does not happen on CircleCI.
In the screenshot below, there is a green check mark, but also 2 tests have failed:
![image](https://user-im... | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/5685?src=pr&el=h1) Report\n> Merging [#5685](https://codecov.io/gh/huggingface/transformers/pull/5685?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/7fad617dc1fc681a7f5da5e0172c8b83f4bf0024&el=desc) will **decrease... | 1,594 | 1,594 | 1,594 | COLLABORATOR | null | The new output types seem to break data parallel FYI, see comment on #5671. This is is because of the line
```
return type(out)(map(gather_map, zip(*outputs)))
```
in `scatter_gather` which tries to reconstruct an output of the same type as ours (and fails since it does not provide the necessary arguments). There ... | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/5684?src=pr&el=h1) Report\n> Merging [#5684](https://codecov.io/gh/huggingface/transformers/pull/5684?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/7fad617dc1fc681a7f5da5e0172c8b83f4bf0024&el=desc) will **decrease... | 1,594 | 1,594 | 1,594 | NONE | null | Change summarization example for BART from
```
inputs = tokenizer([ARTICLE_TO_SUMMARIZE], max_length=1024, return_tensors='pt')
```
to
```
inputs = tokenizer.encode_plus(ARTICLE_TO_SUMMARIZE, max_length=1024, return_tensors='pt')
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/5683?src=pr&el=h1) Report\n> Merging [#5683](https://codecov.io/gh/huggingface/transformers/pull/5683?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/7fad617dc1fc681a7f5da5e0172c8b83f4bf0024&el=desc) will **decrease... | 1,594 | 1,594 | 1,594 | CONTRIBUTOR | null | @guoday | {
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"The spirit of the answer is right. There is a lot more detail in this [blogpost](https://sshleifer.github.io/blog_v2/jupyter/2020/03/12/bart.html)",
"In the future, this would be a great Q for our forums: https://discuss.huggingface.co/ since it doesn't directly involve issues with the library. ",
"Thank you a... | 1,594 | 1,594 | 1,594 | CONTRIBUTOR | null | https://datascience.stackexchange.com/questions/76261/whats-the-input-dimension-for-transformer-decoder-during-training
Is the link's answer right?
Thank you very much! | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n",
"Is there any help?",
"@null-id I also want to know how to customize query-key attention mask. Did you solve the problem?"
] | 1,594 | 1,602 | 1,600 | NONE | null | # ❓ Questions & Help
<!-- The GitHub issue tracker is primarly intended for bugs, feature requests,
new models and benchmarks, and migration questions. For all other questions,
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https://github.com/huggingface/transformers/issues/5678 | {
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"I'm working on a fix now.",
"This bug occurs irrespective `transformer` version I checked it for 2.8.0, 2.90 and 3.0.1\r\n\r\nPipeline returns incorrect output only when the model and tokenizer classes are used to initialize the pipeline.\r\n\r\nIf you use model and tokernizer parameters as path instead in form ... | 1,594 | 1,598 | 1,594 | CONTRIBUTOR | null | # 🐛 Bug
## Information
Model I am using (Bert, XLNet ...): CodeBERT
Language I am using the model on (English, Chinese ...): Code
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:
*... | {
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"I think this would be a nice addition as well. Most of the tests are failing because they were not adapted to your addition. Do you mind adapting them?\r\n\r\nPS: would you mind changing `indexes` to `indices`? That's what we try to use in the repository for the plural of index :)",
"# [Codecov](https://codecov.... | 1,594 | 1,601 | 1,601 | NONE | null | Based on [issue #5676](https://github.com/huggingface/transformers/issues/5676)
Any application that requires users to locate grouped named entities would require some sort of index. This feature is present in the standard NER pipeline and should also exist in the grouped entity NER pipeline as well. This is a very ... | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n",
"I am facing the same issue, Does this issue got fixed",
"This issue has been automatically marked as stale because it has not had rec... | 1,594 | 1,607 | 1,606 | NONE | null | # 🚀 Feature request
<!-- A clear and concise description of the feature proposal.
Please provide a link to the paper and code in case they exist. -->
**There should be indexes in the output of the grouped entity NER pipeline**
The standard NER pipeline from transformers outputs entities that contain the w... | {
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https://api.github.com/repos/huggingface/transformers/issues/5675 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5675/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5675/comments | https://api.github.com/repos/huggingface/transformers/issues/5675/events | https://github.com/huggingface/transformers/issues/5675 | 655,090,893 | MDU6SXNzdWU2NTUwOTA4OTM= | 5,675 | Deepset model not loading using default code | {
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"Looks like the inference on the model hub works if it helps: https://huggingface.co/deepset/bert-large-uncased-whole-word-masking-squad2?text=Where+do+I+live%3F&context=My+name+is+Wolfgang+and+I+live+in+Berlin"
] | 1,594 | 1,594 | 1,594 | NONE | null | # 🐛 Bug
## Information
Model I am using (Bert): Bert
Language I am using the model on (English): English
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/SQU... | {
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"Hmm, as far as I know the pretrained BART models do produce the EOS token and can actually generate pretty short summaries. For example if you look into the test `test_cnn_summarization_same_as_fairseq` you can see that the summaries are actually quite small (some are much smaller than `max_length`)\r\n\r\nAlso yo... | 1,594 | 1,597 | 1,595 | NONE | null | # 🐛 Bug
I finetuned Bart on a few seq2seq tasks. It seems to learn the right thing, but it never seems to stop generating text unless I set `max_length`, i.e. it never generates the EOS token on its own. This seems to be the case for the pretrained model as well: if I run the example [here](https://huggingface.co/tra... | {
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This also fixes the mentions to those arguments in the input docstrings, the output docstrings already refer to the corr... | {
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"Hi Qingqing, good to see you here! Yeah, I checked your official code repo and found it isn't based on 🤗's Transformers. It'll be nice if you can reimplement it and add Deformer in our library! \r\n\r\n~~@thomwolf Re. `🤗nlp`, should we use `🤗nlp` in `transformers` right away? Since it would make `🤗nlp` a depe... | 1,594 | 1,600 | 1,600 | CONTRIBUTOR | null | Hi there, I'm one of the authors of the [DeFormer paper](https://www.aclweb.org/anthology/2020.acl-main.411/), and I'd like to adapt the [DeFormer codebase](https://github.com/StonyBrookNLP/deformer) to this awesome transformers library. To get the adaptation done, I put a few high-level todos in the README (also here)... | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/5669?src=pr&el=h1) Report\n> Merging [#5669](https://codecov.io/gh/huggingface/transformers/pull/5669?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/0267668c3d648c6e41afda97f5df8671ee880ac3&el=desc) will **increase... | 1,594 | 1,594 | 1,594 | CONTRIBUTOR | null | This diff is to add a version number to the SQuAD cache file so that cached SQuADv1.1 features are not mistakenly read when you request SQuADv2. Addresses #5668 | {
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"closes by your own #5669 Thanks for your contribution :)"
] | 1,594 | 1,594 | 1,594 | CONTRIBUTOR | null | # 🐛 Bug
## Information
Model I am using (Bert, XLNet ...): N/A
Language I am using the model on (English, Chinese ...): English
The problem arises when using:
* [ ] the official example scripts:
* [x] my own modified scripts: simple example code given below
The tasks I am working on is:
* [x] an offi... | {
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"Very strange, I just tried the code and it returns `0.8289950489997864`. Maybe you try to re-download the model with:\r\n\r\n```python\r\n# Load the model\r\ntokenizer = AutoTokenizer.from_pretrained(\"johngiorgi/declutr-small\", force_download=True)\r\nmodel = AutoModel.from_pretrained(\"johngiorgi/declutr-small\... | 1,594 | 1,596 | 1,596 | CONTRIBUTOR | null | # 🐛 Bug
## Information
Model I am using (Bert, XLNet ...): `distilroberta-base`
Language I am using the model on (English, Chinese ...): English
The problem arises when using:
* [ ] the official example scripts: (give details below)
* [X] my own modified scripts: (give details below)
The tasks I am wo... | {
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https://api.github.com/repos/huggingface/transformers/issues/5666 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5666/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5666/comments | https://api.github.com/repos/huggingface/transformers/issues/5666/events | https://github.com/huggingface/transformers/issues/5666 | 654,920,260 | MDU6SXNzdWU2NTQ5MjAyNjA= | 5,666 | How do you connect Convolutional layers to Transformers? | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n"
] | 1,594 | 1,600 | 1,600 | NONE | null | # ❓ Questions & Help
Hi everyone!
Where can I find code example that makes clear how to connect Convolutional layers to Transformers and how it needs to be shaped in order to make such a connection?
I have a bit of a hard time figuring it out.
Thank you for your support.
| {
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"Isn't the canonical way:\r\n```\r\nconfig, kwargs = AutoConfig.from_pretrained(pretrained_model_name_or_path, return_unused_kwargs=True, **kwargs)\r\n```\r\nin the test?",
"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/5665?src=pr&el=h1) Report\n> Merging [#5665](https://codecov.io/gh/huggingfa... | 1,594 | 1,594 | 1,594 | MEMBER | null | As shown in #5474, currently, a command like:
```python
from transformers import AutoModelForCausalLM]
model = AutoModelForCausalLM.from_pretrained('bert-base-uncased', is_decoder=True)
```
fails because `is_decoder` is carried on as a model init argument even though it should *only* be used as a config init a... | {
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"@vdantu Thanks for reporting the issue. \r\n\r\nThe problem arises in `modeling_openai.py`when the user do not provide the `position_ids` function argument thus leading to the inner `position_ids` being created during the forward call. This is fine in classic PyTorch because `forward` is actually evaluated at each... | 1,594 | 1,618 | 1,618 | NONE | null | # ❓ Questions & Help
## Details
I am trying to trace/save openai_gpt on GPU and use that model on a CPU and facing issues. Is this possible to do? I have attached the link to the question posted on the discuss forum as well.
### Sample Script
```python
from transformers import OpenAIGPTTokenizer, OpenAIGPTMode... | {
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https://api.github.com/repos/huggingface/transformers/issues/5663 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5663/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5663/comments | https://api.github.com/repos/huggingface/transformers/issues/5663/events | https://github.com/huggingface/transformers/issues/5663 | 654,864,544 | MDU6SXNzdWU2NTQ4NjQ1NDQ= | 5,663 | Request for Support to Adapt a Model (Human Dignity Observatory: Non-Profit Project) | {
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"Hi @KnowmadInstitut you should post this on the forum as well at https://discuss.huggingface.co/",
"> Hi @KnowmadInstitut you should post this on the forum as well at https://discuss.huggingface.co/\r\n\r\nThank you so much for the guidance, I'll get right on it. :)\r\n",
"This issue has been automatically ma... | 1,594 | 1,600 | 1,600 | NONE | null | Dear @huggingface community from the Knowmad Institut we need your contribution and support for the Observatory of Human Dignity that we have developed.
You can access to the observatory here: (https://bit.ly/MQHHRRES)
We need your support to adapt the hugging face tools. We need to get the sentiments out of the ... | {
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"is this still being worked on?",
"I won't be able to take a look in the next ~2 weeks. Feel free to continue the PR :-) ",
"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n",
"@patric... | 1,594 | 1,622 | 1,605 | MEMBER | null | The tf generate function shoud be cleaned up so that it can be used with tf.function. | {
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"Hi @iggygeek not sure what the exact problem is, can you provide exact details, env info, transformers and torch version and probably your code (script or colab).",
"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank y... | 1,594 | 1,600 | 1,600 | NONE | null | Hello,
I am following the tutorial : https://huggingface.co/blog/how-to-train
At command :
trainer.train()
It gets stuck (Nothing displayed except "Using deprecated `--per_gpu_train_batch_size` argument").
Any idea ? | {
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https://api.github.com/repos/huggingface/transformers/issues/5659 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5659/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5659/comments | https://api.github.com/repos/huggingface/transformers/issues/5659/events | https://github.com/huggingface/transformers/pull/5659 | 654,785,305 | MDExOlB1bGxSZXF1ZXN0NDQ3NDQyMzEx | 5,659 | [Longformer] fix longformer global attention output | {
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Thanks a million to @k141303 for very clean issue + perfect proposed solution in https://github.com/huggingface/transformers/issues/5646 . | {
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"Hi, what are the arguments for `.generate` method ? you can control the generation length using `max_length` and `min_length` parameter. And if you want to see if there's something wrong with the fine-tuning code, then take the default t5-small model (it's already trained for summerization) and generate summaries... | 1,594 | 1,604 | 1,598 | NONE | null | I fine-tuned t5-small over CNN/DM dataset using the finetune_t5.sh script. The outputs produced by the saved fine-tuned model is okayish but it's getting cut i.e., producing incomplete sentence at the end.
Example :
Artcile:
(CNN)The only thing crazier than a guy in snowbound Massachusetts boxing up the powde... | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/5655?src=pr&el=h1) Report\n> Merging [#5655](https://codecov.io/gh/huggingface/transformers/pull/5655?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/2e6bb0e9c37655a03adaa3238dd6d4645fba8dc1&el=desc) will **decrease... | 1,594 | 1,594 | 1,594 | CONTRIBUTOR | null | Create model card for T5-small fine-tuned on SQUAD v2 | {
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"Are the outputs produced by your best-checkpoint after fine-tuning producing proper outputs? or are the truncated at the end?\r\nI did fine-tune t5-small on CNN/DM but the best-checkpoint was producing outputs which were truncated in the end(for sample output, I just raised an issue, refer to that) and this was le... | 1,594 | 1,614 | 1,608 | CONTRIBUTOR | null | # ❓ Help
I'm trying to fine-tune BART on CNN/DM by myself (so, starting from `facebook/bart-large` checkpoint).
However I can't reproduce the results so far... BART authors report a R1 score of `44.16` in their paper, but my best checkpoint so far is only `42.53`.
It's not an issue with the eval script, as I c... | {
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"I also got the same issue.\r\nMaybe you can try `BertTokenizer.from_pretrained(\"hfl/chinese-roberta-wwm-ext\")`\r\nIt works for me.\r\n",
"> I also got the same issue.\r\n> Maybe you can try `BertTokenizer.from_pretrained(\"hfl/chinese-roberta-wwm-ext\")`\r\n> It works for me.\r\n\r\nYes!! I succeeded, thank yo... | 1,594 | 1,594 | 1,594 | NONE | null | # ❓ Questions & Help
<!-- The GitHub issue tracker is primarly intended for bugs, feature requests,
new models and benchmarks, and migration questions. For all other questions,
we direct you to the Hugging Face forum: https://discuss.huggingface.co/ .
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"Thanks for sharing! Note that we don't currently have automated deployment on ExBERT (cc @bhoov)\r\n\r\n➡️ [model page](https://huggingface.co/sentence-transformers/bert-base-nli-mean-tokens)"
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"See: #4586"
] | 1,594 | 1,594 | 1,594 | NONE | null | # 🐛 Bug
Using `AutoModelWithLMHead.from_pretrained("t5-base")` for fine-tuning, after 34 iterations I get nan loss from the forward method.
After debugging it, I found that the source of the nan is due to an overflow that happens in `T5DenseReluDense`, when running `h = self.wo(h)`. The result of this forward is a ... | {
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"Yeah this is related to a bug, see: https://github.com/huggingface/transformers/pull/4615\r\n\r\ncc @mfuntowicz @julien-c - we should refactor the squad preprocessing in pipelines to make longformer work.",
"Hi @patrickvonplaten: are there are any updates with respect to this?",
"We will probably start working... | 1,594 | 1,602 | 1,602 | NONE | null | I am using the pretrained model `allenai/longformer-large-4096-finetuned-triviaqa`, however upon inspecting it on my system and the demo on the huggingface website, the outputs seem off even for very simple examples and samples from the dataset.
1. [Example 1](https://www.dropbox.com/s/9h3dcqpwq0n1b05/download%20%28... | {
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"Thanks for this issue. Longformer was trained on trivia_qa by default and not squad, so the model is not by default compatible with `squad` and needs some special post processing as shown in the example of this model, here:\r\nhttps://huggingface.co/transformers/model_doc/longformer.html#longformerforquestionanswe... | 1,594 | 1,600 | 1,600 | NONE | null | I am using the transformers library from source (version: 3.0.2).
```python
import transformers
from transformers import *
longformer_tokenizer = LongformerTokenizer.from_pretrained("allenai/longformer-base-4096")
longformer_tokenizer.tokenize("This is a sample sentence for the tokenizer.")
```
The output I g... | {
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"Hello! This is an interesting question, but is kind of out of scope for the Github issues. We just opened a forum at [discuss.huggingface.co](https://discuss.huggingface.co). Do you think you could ask your question over there?\r\n\r\nThank you.",
"This issue has been automatically marked as stale because it has... | 1,594 | 1,600 | 1,600 | NONE | null | # ❓ Questions & Help
<!-- The GitHub issue tracker is primarly intended for bugs, feature requests,
new models and benchmarks, and migration questions. For all other questions,
we direct you to the Hugging Face forum: https://discuss.huggingface.co/ .
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"Hey @gyin-ai - can you specify your version?\r\n\r\nI cannot reproduce the error on master.",
"In master, the above example works for me but it doesn't work for T5ForConditionalGeneration\r\n\r\n```\r\nfrom transformers import T5ForConditionalGeneration\r\nimport torch\r\n\r\ntokens_tensor = torch.ones(1, 10, dt... | 1,594 | 1,685 | 1,601 | NONE | null | # ❓ Questions & Help
How can we correctly set inputs for t5 TorchScript?
## Details
<!-- Description of your issue -->
```python
from transformers import T5Model
import torch
tokens_tensor = torch.ones(1, 10, dtype=torch.long)
model = T5Model.from_pretrained("t5-small", torchscript=True)
model.eval()
... | {
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"Hey @k141303, \r\n\r\nThanks a lot for the issue - I can reproduce!",
"Thanks a lot for your very clean issue + proposed solution. It makes it very easy to find the error and fix it :-) \r\n\r\nBTW, in cases like this issue when you see a clear fix to the bug, Pull Requests are very welcome as well!",
"Hi, @pa... | 1,594 | 1,601 | 1,594 | NONE | null | # 🐛 Bug
## Information
Model I am using **Longformer**:
Language I am using the model on Japanese:
The problem arises when using:
* [ ] the official example scripts: (give details below)
* [x] my own modified scripts: (give details below)
The tasks I am working on is:
* [ ] an official GLUE/SQUaD tas... | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/5645?src=pr&el=h1) Report\n> Merging [#5645](https://codecov.io/gh/huggingface/transformers/pull/5645?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/02a0b43014ac333a169e99d76aaba023a316e384&el=desc) will **increase... | 1,594 | 1,596 | 1,596 | CONTRIBUTOR | null | allow having multiple repository checkouts and not needing to remember to rerun `pip install -e .[dev]` when switching between checkouts and running tests. This code will automatically do the right thing for the test suite.
Note that `python -m pytest` automatically adds `.` to the path, so normally most packages ge... | {
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Based on an item from https://github.com/huggingface/transformers/projects/17 | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n"
] | 1,594 | 1,600 | 1,600 | NONE | null | # 🐛 Bug
## Information
Hi, I am working on implementing the multimodal bitransformer: https://arxiv.org/pdf/1909.02950.pdf
I have already gotten this working using your implementation of TFBertModel, but I want to try using TFXLNetModel in place of BERT to see if it makes an improvement. What I've done for usin... | {
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"Hi! This is a very good question. We just opened a forum on [discuss.huggingface.co](https://discuss.huggingface.co/) to discuss those kind of questions exactly. Do you think you could go over there and ask it? Thanks a lot!",
"Sure, I'll do that now! @LysandreJik ",
"This issue has been automatically marked a... | 1,594 | 1,600 | 1,600 | NONE | null | For those wishing to [MASK] several tokens, here this is.
My question, however, relates to the output. I added "top_k" assuming I'd be able to return multiple sentences, but that was not the case. I am not sure how exactly I can achieve this.
```
import torch
from transformers import BertTokenizer, BertModel,B... | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/5640?src=pr&el=h1) Report\n> Merging [#5640](https://codecov.io/gh/huggingface/transformers/pull/5640?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/7fad617dc1fc681a7f5da5e0172c8b83f4bf0024&el=desc) will **decrease... | 1,594 | 1,594 | 1,594 | CONTRIBUTOR | null | Previously, we had a helper function that checked 4 possible cases to determine whether we should:
(a) combine a cached attention mask with a new one.
(b) just use the cached one
(c) just use the new/passed one
This consolidates that logic into 3 branches and deletes the helper func, which was only called once.... | {
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https://api.github.com/repos/huggingface/transformers/issues/5639 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5639/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5639/comments | https://api.github.com/repos/huggingface/transformers/issues/5639/events | https://github.com/huggingface/transformers/issues/5639 | 654,289,701 | MDU6SXNzdWU2NTQyODk3MDE= | 5,639 | test suite fails due to pytorch bug in torch.seed | {
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"A fix has been just applied here:\r\nhttps://github.com/pytorch/pytorch/commit/5edd9aa95a8a73e940185f8448e7db05394ce6fe\r\nwill re-test with the nightly",
"I confirmed that this pytorch bug has been fixed in nightly and the tests don't fail anymore."
] | 1,594 | 1,597 | 1,597 | CONTRIBUTOR | null | # 🐛 Bug
## Information
This is on a dual-gpu machine.
Almost all tests/test_modeling_reformer.py sub-tests fail with:
```
def cb():
for i in range(device_count()):
default_generator = torch.cuda.default_generators[i]
> default_generator.manual_seed(seed)
E ... | {
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https://api.github.com/repos/huggingface/transformers/issues/5636 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5636/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5636/comments | https://api.github.com/repos/huggingface/transformers/issues/5636/events | https://github.com/huggingface/transformers/pull/5636 | 654,237,272 | MDExOlB1bGxSZXF1ZXN0NDQ3MDAzMTE3 | 5,636 | Should check that torch TPU is available | {
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https://api.github.com/repos/huggingface/transformers/issues/5635 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5635/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5635/comments | https://api.github.com/repos/huggingface/transformers/issues/5635/events | https://github.com/huggingface/transformers/pull/5635 | 654,204,951 | MDExOlB1bGxSZXF1ZXN0NDQ2OTc2NzYw | 5,635 | [WIP][Examples] Adding more examples and more introductory tutorials | {
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"Indeed, it seems this model was once trained or initialized on TPU. Thanks for letting us know, I'm patching it in #5636.",
"Yes, it was trained on TPU",
"It should be fixed on master now, can you try pulling from master and running your code?",
"I already did it and it works!!!\r\nThank you!!"
] | 1,594 | 1,594 | 1,594 | CONTRIBUTOR | null | # 🐛 Bug
## Information
I get this error:
``` ModuleNotFoundError: No module named 'torch_xla'```
Full error message:
```
2
3 tokenizer = AutoTokenizer.from_pretrained("mrm8488/t5-base-finetuned-squadv2")
----> 4 model = AutoModelWithLMHead.from_pretrained("mrm8488/t5-base-finetuned-squadv2")... | {
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https://api.github.com/repos/huggingface/transformers/issues/5632 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5632/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5632/comments | https://api.github.com/repos/huggingface/transformers/issues/5632/events | https://github.com/huggingface/transformers/pull/5632 | 654,174,664 | MDExOlB1bGxSZXF1ZXN0NDQ2OTUyNjA2 | 5,632 | Fixed use of memories in XLNet (caching for language generation + warning when loading improper memoryless model) | {
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https://api.github.com/repos/huggingface/transformers/issues/5630 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5630/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5630/comments | https://api.github.com/repos/huggingface/transformers/issues/5630/events | https://github.com/huggingface/transformers/issues/5630 | 654,104,340 | MDU6SXNzdWU2NTQxMDQzNDA= | 5,630 | How can I fine-tune on custom model | {
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"You can try this：\r\nhttps://github.com/huggingface/transformers/pull/3009/commits/489dd7608c5b3d4acaf997a2b4fbccc3d7144cf3\r\n\r\nbut there is no bilstm layer. You can add it by yourself",
"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further ... | 1,594 | 1,604 | 1,604 | NONE | null | # ❓ Questions & Help
<!-- The GitHub issue tracker is primarly intended for bugs, feature requests,
new models and benchmarks, and migration questions. For all other questions,
we direct you to the Hugging Face forum: https://discuss.huggingface.co/ .
You can also try Stack Overflow (SO) where a wh... | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/5629?src=pr&el=h1) Report\n> Merging [#5629](https://codecov.io/gh/huggingface/transformers/pull/5629?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/fa5423b1695cd24856bcff47214172e0f540d924&el=desc) will **decrease... | 1,594 | 1,594 | 1,594 | CONTRIBUTOR | null | Fixes #5622 . | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n"
] | 1,594 | 1,600 | 1,600 | NONE | null | # ❓ Questions & Help
Is there any way I can load Polyencoder and other retriever based models from ParlAI in huggingface/transformers because as of now, there seems no support of loading huggingface/transformers models in ParlAI other than GPT.
Polyencoder: https://arxiv.org/abs/1905.01969
ParlAI Implementation ... | {
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"This has been fixed in master, https://huggingface.co/transformers/master/model_summary.html will have the proper links.",
"This has now been fixed for the stable version as well!"
] | 1,594 | 1,594 | 1,594 | NONE | null | As title, model doc failed in page https://huggingface.co/transformers/model_summary.html, e.g. https://huggingface.co/model_doc/distilbert | {
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https://api.github.com/repos/huggingface/transformers/issues/5626 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5626/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5626/comments | https://api.github.com/repos/huggingface/transformers/issues/5626/events | https://github.com/huggingface/transformers/pull/5626 | 654,047,683 | MDExOlB1bGxSZXF1ZXN0NDQ2ODQ5OTE1 | 5,626 | doc: fix apparent copy-paste error in docstring | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/5626?src=pr&el=h1) Report\n> Merging [#5626](https://codecov.io/gh/huggingface/transformers/pull/5626?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/fa5423b1695cd24856bcff47214172e0f540d924&el=desc) will **decrease... | 1,594 | 1,594 | 1,594 | CONTRIBUTOR | null | {
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https://api.github.com/repos/huggingface/transformers/issues/5625 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5625/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5625/comments | https://api.github.com/repos/huggingface/transformers/issues/5625/events | https://github.com/huggingface/transformers/issues/5625 | 654,047,157 | MDU6SXNzdWU2NTQwNDcxNTc= | 5,625 | Cannot reproduce roberta-large on SQuAD | {
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"And also, it seems that the glue results showcased in https://huggingface.co/roberta-large refers to the paper instead of fine-tuning from your own script.",
"@ZheyuYe\r\n\r\nIs this hyperparameter ` --adam_betas '(0.9, 0.98)' \\` available in a modified Transformers v3.0.2 `run_squad.py`, or earlier version?... | 1,594 | 1,594 | 1,594 | NONE | null | ## Information
Using the same hyper-paramters as [paper](https://arxiv.org/abs/1907.11692), I fine-tund roberta-large on SQuAD1.1 resulting disappointing results as below. I am wondering that the reason of it might be the gradient noralization is different from the [official implementation](), although it hasn't been ... | {
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https://api.github.com/repos/huggingface/transformers/issues/5624 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5624/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5624/comments | https://api.github.com/repos/huggingface/transformers/issues/5624/events | https://github.com/huggingface/transformers/issues/5624 | 654,010,117 | MDU6SXNzdWU2NTQwMTAxMTc= | 5,624 | Inference widgets for self-hosted models? | {
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"do you mind sending an email to clement [at] huggingface [dot] co explaining your usecase?",
"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n",
"I have created a simple package that de... | 1,594 | 1,602 | 1,602 | CONTRIBUTOR | null | # 🚀 Feature request
I'm loving the new [huggingface](https://huggingface.co/bert-base-uncased?) dataset browsing & hosted model interfaces 🤯
So firstly a huge thank you to everyone <3
This is a question/feature request ~
- Can we use inference widgets for self-hosted models?
I see that there is a [serving... | {
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https://api.github.com/repos/huggingface/transformers/issues/5623 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5623/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5623/comments | https://api.github.com/repos/huggingface/transformers/issues/5623/events | https://github.com/huggingface/transformers/issues/5623 | 654,003,305 | MDU6SXNzdWU2NTQwMDMzMDU= | 5,623 | Predictor in Streamlit Docker eating all memory and OOM | {
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"This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.\n"
] | 1,594 | 1,600 | 1,600 | NONE | null | # 🐛 Bug
## Information
Model I am using (Bert, XLNet ...): DistilBert
Language I am using the model on (English, Chinese ...): English
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 i... | {
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https://api.github.com/repos/huggingface/transformers/issues/5622 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5622/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5622/comments | https://api.github.com/repos/huggingface/transformers/issues/5622/events | https://github.com/huggingface/transformers/issues/5622 | 653,923,436 | MDU6SXNzdWU2NTM5MjM0MzY= | 5,622 | TextGenerationPipeline breaks when used with device=0 | {
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"If that's not the case, we should make sure that the pipelines run on GPU in the GPU CI. (fast and slow), to catch things like this."
] | 1,594 | 1,594 | 1,594 | CONTRIBUTOR | null | # 🐛 Bug
## Information
Model I am using (Bert, XLNet ...): model-agnostic (breaks with GPT2 and XLNet)
Language I am using the model on (English, Chinese ...): English
The problem arises when using:
[x] my own modified scripts: (give details below)
The tasks I am working on is:
[x] my own task or data... | {
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https://api.github.com/repos/huggingface/transformers/issues/5621 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/5621/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/5621/comments | https://api.github.com/repos/huggingface/transformers/issues/5621/events | https://github.com/huggingface/transformers/pull/5621 | 653,840,915 | MDExOlB1bGxSZXF1ZXN0NDQ2NjgwMzEx | 5,621 | Add freshly trained `codegram/calbert-base-uncased` | {
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"# [Codecov](https://codecov.io/gh/huggingface/transformers/pull/5621?src=pr&el=h1) Report\n> Merging [#5621](https://codecov.io/gh/huggingface/transformers/pull/5621?src=pr&el=desc) into [master](https://codecov.io/gh/huggingface/transformers/commit/fa5423b1695cd24856bcff47214172e0f540d924&el=desc) will **decrease... | 1,594 | 1,594 | 1,594 | CONTRIBUTOR | null | Trained from the rewrite mentioned in #5599, just finished training last night. The model card now reflects both models, with tested code examples and links to Exbert. | {
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