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[Docs] Fix spelling and grammar mistakes (#28825)

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* Fix typos and grammar mistakes in docs and examples

* Fix typos in docstrings and comments

* Fix spelling of `tokenizer` in model tests

* Remove erroneous spaces in decorators

* Remove extra spaces in Markdown link texts
This commit is contained in:
Klaus Hipp
2024-02-02 08:45:00 +01:00
committed by GitHub
parent 2418c64a1c
commit 721ee783ca
134 changed files with 185 additions and 186 deletions
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docs/source/en/model_doc/reformer.md
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@@ -54,7 +54,7 @@ found [here](https://github.com/google/trax/tree/master/trax/models/reformer).
Axial Positional Encodings were first implemented in Google's [trax library](https://github.com/google/trax/blob/4d99ad4965bab1deba227539758d59f0df0fef48/trax/layers/research/position_encodings.py#L29)
and developed by the authors of this model's paper. In models that are treating very long input sequences, the
conventional position id encodings store an embedings vector of size \\(d\\) being the `config.hidden_size` for
conventional position id encodings store an embeddings vector of size \\(d\\) being the `config.hidden_size` for
every position \\(i, \ldots, n_s\\), with \\(n_s\\) being `config.max_embedding_size`. This means that having
a sequence length of \\(n_s = 2^{19} \approx 0.5M\\) and a `config.hidden_size` of \\(d = 2^{10} \approx 1000\\)
would result in a position encoding matrix: