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Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

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Hello team, Based on a trained multilingual Fairseq model (e.g. M2M-100), I run my translations as a service in a Docker container according to the following scheme: as an input...

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## 🐛 Bug I just run the code from the [instructions](https://github.com/pytorch/fairseq/blob/master/examples/wav2vec/README.md#vq-wav2vec) in Google Colab: ``` import torch import fairseq cp = torch.load('/path/to/vq-wav2vec.pt') model, cfg, task = fairseq.checkpoint_utils.load_model_ensemble_and_task([cp]) model = model[0]...

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## ❓ Questions and Help #### What is your question? Got `inf` loss and gradient overflow when running the [code example of adaptive input representation](https://github.com/pytorch/fairseq/blob/main/examples/language_model/README.adaptive_inputs.md) with `--fp16`. I am trying...

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## ❓ Questions and Help It is a great contribution to release such a massive inclusion of the languages and dialects into a big translation model. Thanks :+1: #### Opposed...

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I follow the the instructions in page (https://github.com/facebookresearch/fairseq/tree/main/examples/data2vec) to reproduce the speech data2vec result. And i have got the pretrained model. Then start to use "fairseq-hydra-train \ distributed_training.distributed_port=$PORT \ task.data=/path/to/data...

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## 🐛 Bug Not understand the meaning of "KeyError: 27707" , it seems to something wrong in multiple processes? I used the same command line in fairseq0.9.0 , pytorch 1.5...

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## 🐛 Bug Hi, I am trying to do more pre-training epochs of Roberta's pre-trained model on some low-resource - English language- the model I want to use is the...

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#### What is your question? Hello! Some months ago, I successfully used the [previous version](https://github.com/pytorch/fairseq/tree/master/examples/translation#multilingual-translation) for multilingual translation with custom datasets. I recently noticed there's a [new one](https://github.com/pytorch/fairseq/tree/master/examples/multilingual) so I...

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I try to train data2vec on music data (the FMA dataset). I've made some modifications to the feature extractor ConvNet (I've made it a small ResNet essentially), and reduced the...

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I am using hugging face facebook/mbart-large-50-many-to-many-mmt model for translating text to English. I observed that its giving vague and incorrect output in many instances. Few example below ![image](https://user-images.githubusercontent.com/95630772/174293449-a3158407-005b-4c0a-b031-39503a76f65c.png) ![image](https://user-images.githubusercontent.com/95630772/174293571-65faac8f-2068-4462-8d05-b0251caab75d.png)

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