Skip to content

Add eos/last_token pooling #1335

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 1 commit into from
Jun 25, 2025
Merged

Add eos/last_token pooling #1335

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
28 changes: 19 additions & 9 deletions src/pipelines.js
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -1229,7 +1229,7 @@ export class ZeroShotClassificationPipeline extends (/** @type {new (options: Te

/**
* @typedef {Object} FeatureExtractionPipelineOptions Parameters specific to feature extraction pipelines.
* @property {'none'|'mean'|'cls'} [pooling="none"] The pooling method to use.
* @property {'none'|'mean'|'cls'|'first_token'|'eos'|'last_token'} [pooling="none"] The pooling method to use.
* @property {boolean} [normalize=false] Whether or not to normalize the embeddings in the last dimension.
* @property {boolean} [quantize=false] Whether or not to quantize the embeddings.
* @property {'binary'|'ubinary'} [precision='binary'] The precision to use for quantization.
Expand Down Expand Up @@ -1322,14 +1322,24 @@ export class FeatureExtractionPipeline extends (/** @type {new (options: TextPip

/** @type {Tensor} */
let result = outputs.last_hidden_state ?? outputs.logits ?? outputs.token_embeddings;
if (pooling === 'none') {
// Skip pooling
} else if (pooling === 'mean') {
result = mean_pooling(result, model_inputs.attention_mask);
} else if (pooling === 'cls') {
result = result.slice(null, 0);
} else {
throw Error(`Pooling method '${pooling}' not supported.`);

switch (pooling) {
case 'none':
// Skip pooling
break;
case 'mean':
result = mean_pooling(result, model_inputs.attention_mask);
break;
case 'first_token':
case 'cls':
result = result.slice(null, 0);
break;
case 'last_token':
case 'eos':
result = result.slice(null, -1);
break;
default:
throw Error(`Pooling method '${pooling}' not supported.`);
}

if (normalize) {
Expand Down