diff --git a/src/lib/models/providers/transformers/transformerEmbedding.ts b/src/lib/models/providers/transformers/transformerEmbedding.ts
index b3f43f0..2675f9c 100644
--- a/src/lib/models/providers/transformers/transformerEmbedding.ts
+++ b/src/lib/models/providers/transformers/transformerEmbedding.ts
@@ -1,6 +1,6 @@
 import { Chunk } from '@/lib/types';
 import BaseEmbedding from '../../base/embedding';
-import { FeatureExtractionPipeline, pipeline } from '@huggingface/transformers';
+import { FeatureExtractionPipeline } from '@huggingface/transformers';
 
 type TransformerConfig = {
   model: string;
@@ -21,21 +21,19 @@ class TransformerEmbedding extends BaseEmbedding<TransformerConfig> {
     return this.embed(chunks.map((c) => c.content));
   }
 
-  async embed(texts: string[]): Promise<number[][]> {
+  private async embed(texts: string[]) {
     if (!this.pipelinePromise) {
       this.pipelinePromise = (async () => {
-        const transformers = await import('@huggingface/transformers');
-        return (await transformers.pipeline(
-          'feature-extraction',
-          this.config.model,
-        )) as unknown as FeatureExtractionPipeline;
+        const { pipeline } = await import('@huggingface/transformers');
+        const result = await pipeline('feature-extraction', this.config.model, {
+          dtype: 'fp32',
+        });
+        return result as FeatureExtractionPipeline;
       })();
     }
 
-    const pipeline = await this.pipelinePromise;
-
-    const output = await pipeline(texts, { pooling: 'mean', normalize: true });
-
+    const pipe = await this.pipelinePromise;
+    const output = await pipe(texts, { pooling: 'mean', normalize: true });
     return output.tolist() as number[][];
   }
 }