Update torch.hub usage

Summary: Pull Request resolved: https://github.com/fairinternal/fairseq-py/pull/770

Differential Revision: D16491911

Pulled By: myleott

fbshipit-source-id: 8dd2b76f8fa24183640ae9d1129ea47ded77d43d

examples/backtranslation/README.md

@@ -13,14 +13,14 @@ Transformer <br> ([Edunov et al., 2018](https://arxiv.org/abs/1808.09381); WMT'1
 Interactive generation from the full ensemble via PyTorch Hub:
 ```
 >>> import torch
+>>> torch.hub.list('pytorch/fairseq')
+[..., 'transformer.wmt14.en-fr', 'transformer.wmt16.en-de', 'transformer.wmt18.en-de', ... ]
 >>> en2de_ensemble = torch.hub.load(
 ...   'pytorch/fairseq',
-...   'transformer',
-...   model_name_or_path='transformer.wmt18.en-de',
+...   'transformer.wmt18.en-de',
 ...   checkpoint_file='wmt18.model1.pt:wmt18.model2.pt:wmt18.model3.pt:wmt18.model4.pt:wmt18.model5.pt',
 ...   data_name_or_path='.',
 ...   tokenizer='moses',
-...   aggressive_dash_splits=True,
 ...   bpe='subword_nmt',
 ... )
 >>> len(en2de_ensemble.models)

examples/language_model/README.md

@@ -13,13 +13,13 @@ Adaptive Inputs <br> ([Baevski and Auli, 2018](https://arxiv.org/abs/1809.10853)
 Interactive generation via PyTorch Hub:
 ```
 >>> import torch
+>>> torch.hub.list('pytorch/fairseq')
+[..., 'transformer_lm.gbw.adaptive_huge', 'transformer_lm.wiki103.adaptive', ...]
 >>> lm = torch.hub.load(
 ...   'pytorch/fairseq',
-...   'transformer_lm',
-...   model_name_or_path='transformer_lm.wiki103.adaptive',
+...   'transformer_lm.wiki103.adaptive',
 ...   data_name_or_path='./data-bin',
 ...   tokenizer='moses',
-...   aggressive_dash_splits=True,
 ...   no_escape=True,
 ...   beam=1,
 ...   sampling=True,

examples/translation/README.md

@@ -16,13 +16,13 @@ Transformer <br> ([Edunov et al., 2018](https://arxiv.org/abs/1808.09381); WMT'1
 Interactive generation via PyTorch Hub:
 ```
 >>> import torch
+>>> torch.hub.list('pytorch/fairseq')
+[..., 'transformer.wmt14.en-fr', 'transformer.wmt16.en-de', 'transformer.wmt18.en-de', ... ]
 >>> en2de = torch.hub.load(
 ...   'pytorch/fairseq',
-...   'transformer',
-...   model_name_or_path='transformer.wmt16.en-de',
+...   'transformer.wmt16.en-de',
 ...   data_name_or_path='.',
 ...   tokenizer='moses',
-...   aggressive_dash_splits=True,
 ...   bpe='subword_nmt',
 ... )
 >>> print(en2de.models[0].__class__)