HuggingFace Embedding

Embed data using HuggingFace’s Inference API.

Configure via UI

1. Select HuggingFace Embedding from the Embedding Model dropdown.
2. Enter your HuggingFace API key.
3. Enter your HuggingFace model name or URL, e.g. BAAI/bge-small-en-v1.5.

Configure via API / Client

```python pipeline = { 'name': 'test-pipeline', 'transform_config': {...}, 'embedding_config': { 'type': 'HUGGINGFACE_API_EMBEDDING', 'component': { 'token': 'hf_...', 'model_name': 'BAAI/bge-small-en-v1.5', }, }, 'data_sink_id': data_sink.id }

pipeline = client.pipelines.upsert_pipeline(request=pipeline)

</TabItem>
<TabItem value="typescript" label="TypeScript Client" default>
```Typescript
const pipeline = {
  'name': 'test-pipeline',
  'transform_config': {...},
  'embedding_config': {
      'type': 'HUGGINGFACE_API_EMBEDDING',
      'component': {
          'token': 'hf_...',
          'model_name': 'BAAI/bge-small-en-v1.5',
      },
  },
  'dataSinkId': data_sink.id
}

await client.pipelines.upsertPipeline({
projectId: projectId,
body: pipeline
})