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Embeddings 0.4.0 isubwordtokenizer
Lodestar.Embeddings 0.4.0. This page is frozen at that release. Read the current documentation for what
mainsays now. A link to a decision or a migration page followsmain, and leaves the archive.
What the three tokenizers have in common: encode a string, and look a token up.
public interface ISubwordTokenizerExample — the same code against whichever tokenizer the model came with.
using Lodestar.Embeddings.Tokenization;
var vocab = new Dictionary<string, int>(StringComparer.Ordinal)
{
["[UNK]"] = 0, ["token"] = 1, ["##ize"] = 2, ["text"] = 3,
};
ISubwordTokenizer tokenizer = new WordPieceTokenizer(
vocab, unkToken: "[UNK]", continuationPrefix: "##", maxCharsPerWord: 100, lowercase: true);
TokenizationResult encoded = tokenizer.Encode("tokenize text");
int count = encoded.Ids.Count; // => 3Remarks — deliberately narrow. Decoding is not here, because only
BpeTokenizer can do it losslessly: byte-level BPE round-trips any input
exactly, while WordPiece has already thrown away the information about where words were split.
Putting Decode on the interface would promise something two of the three cannot keep.
BatchEncoder takes this interface rather than a concrete tokenizer, which is
what lets one batching path serve all three families.
Applies to — net10.0, netstandard2.0.
See also — WordPieceTokenizer,
SentencePieceTokenizer, BpeTokenizer.
| Member | What it does |
|---|---|
ISubwordTokenizer.Encode |
One string to tokens and ids. |
ISubwordTokenizer.TryGetId |
The id of a token, if the vocabulary holds it. |
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