---
title: "enumerateTokenVectors(in:using:)"
framework: Natural Language
role: symbol
role_heading: Instance Method
platforms: [iOS 17.0+, iPadOS 17.0+, Mac Catalyst 17.0+, macOS 14.0+, tvOS 17.0+, visionOS 1.0+, watchOS 10.0+]
path: "naturallanguage/nlcontextualembeddingresult/enumeratetokenvectors(in:using:)"
---

# enumerateTokenVectors(in:using:)

Iterates over the embedding vectors corresponding to the subword tokens within the specified range of the input string.

## Declaration

```swift
@nonobjc func enumerateTokenVectors(in range: Range<String.Index>, using block: ([Double], Range<String.Index>) -> Bool)
```

## Parameters

- `range`: The range in the string to enumerate.
- `block`: A block that contains each token’s embedding vector and its corresponding character range in the string.

## Discussion

Discussion Use this method to access the individual (subword) token embeddings. You can apply pooling or combination techniques to aggregate these subword vectors into a single representation for a word, phrase, or entire input. Common pooling techniques include: Mean pooling to take the average of subword vectors. Max pooling for finding the element-wise maximum across tokens. Use the embeddings of the first or last subword tokens to represent the entire input.

## See Also

### Enumerating the vectors

- [tokenVector(at:)](naturallanguage/nlcontextualembeddingresult/tokenvector(at:).md)