Update README.md
Browse files
README.md
CHANGED
@@ -2617,6 +2617,10 @@ model-index:
|
|
2617 |
<b>The text embedding set trained by <a href="https://jina.ai/"><b>Jina AI</b></a>.</b>
|
2618 |
</p>
|
2619 |
|
|
|
|
|
|
|
|
|
2620 |
|
2621 |
## Intended Usage & Model Info
|
2622 |
|
@@ -2703,9 +2707,10 @@ embeddings = model.encode(
|
|
2703 |
)
|
2704 |
```
|
2705 |
|
2706 |
-
##
|
2707 |
|
2708 |
-
|
|
|
2709 |
|
2710 |
## RAG Performance
|
2711 |
|
|
|
2617 |
<b>The text embedding set trained by <a href="https://jina.ai/"><b>Jina AI</b></a>.</b>
|
2618 |
</p>
|
2619 |
|
2620 |
+
## Quick Start
|
2621 |
+
|
2622 |
+
The easiest way to starting using `jina-embeddings-v2-small-en` is to use Jina AI's [Embedding API](https://jina.ai/embeddings/).
|
2623 |
+
|
2624 |
|
2625 |
## Intended Usage & Model Info
|
2626 |
|
|
|
2707 |
)
|
2708 |
```
|
2709 |
|
2710 |
+
## Alternatives to Using Transformers Package
|
2711 |
|
2712 |
+
1. _Managed SaaS_: Get started with a free key on Jina AI's [Embedding API](https://jina.ai/embeddings/).
|
2713 |
+
2. _Private and high-performance deployment_: Get started by picking from our suite of models and deploy them on [AWS Sagemaker](https://aws.amazon.com/marketplace/seller-profile?id=seller-stch2ludm6vgy).
|
2714 |
|
2715 |
## RAG Performance
|
2716 |
|