🚀 Feature request

T5ForConditionalGeneration inherits generate from PreTrainedModel via GenerationMixin.

Currently in our docs if we write:

for more info see :meth:`transformers.T5ForConditionalGeneration.generate`

it doesn't get resolved in the html docs (it doesn't get a xref link, but leaves it as a text)

Neither transformers.PreTrainedModel.generate gets resolv

Not a high-priority at all, but it'd be more sensible for such a tutorial/testing utility corpus to be implemented elsewhere - maybe under /test/ or some other data- or doc- related module – rather than in gensim.models.word2vec.

Originally posted by @gojomo in RaRe-Technologies/gensim#2939 (comment)

Hi
Wikiann dataset needs to have "spans" columns, which is necessary to be able to use this dataset, but this column is missing from huggingface datasets, could you please have a look? thank you @lhoestq

Hi I would like to propose a better implementation for 'test_indices':

We can remove the unneeded np.array casting:

Cleaner/New:
test_indices = list(set(range(len(texts))) - set(train_indices))

Old:
test_indices = np.array(list(set(range(len(texts))) - set(train_indices)))