Add `text-embeddings-inference` tag & snippet

## Description

- Add `text-embeddings-inference` tag to improve discoverability
- Adds a sample snippet on how to run Text Embeddings Inference (TEI) via Docker

⚠️ **This PR has been generated automatically, so please review it before merging.**

README.md

@@ -7,6 +7,7 @@ tags:
 - feature-extraction
 - sentence-similarity
 - transformers
+- text-embeddings-inference
 datasets:
 - s2orc
 - flax-sentence-embeddings/stackexchange_xml
@@ -92,6 +93,32 @@ print("Sentence embeddings:")
 print(sentence_embeddings)
 ```
 
+## Usage (Text Embeddings Inference (TEI))
+
+[Text Embeddings Inference (TEI)](https://github.com/huggingface/text-embeddings-inference) is a blazing fast inference solution for text embedings models.
+
+- CPU:
+```bash
+docker run -p 8080:80 -v hf_cache:/data --pull always ghcr.io/huggingface/text-embeddings-inference:cpu-latest --model-id sentence-transformers/all-mpnet-base-v2 --pooling mean --dtype float16
+```
+
+- NVIDIA GPU:
+```bash
+docker run --gpus all -p 8080:80 -v hf_cache:/data --pull always ghcr.io/huggingface/text-embeddings-inference:cuda-latest --model-id sentence-transformers/all-mpnet-base-v2 --pooling mean --dtype float16
+```
+
+Send a request to the `/v1/embeddings` to generate embeddings via the [OpenAI Embeddings API](https://platform.openai.com/docs/api-reference/embeddings/create):
+```bash
+curl http://localhost:8080/v1/embeddings \
+  -H 'Content-Type: application/json' \
+  -d '{
+    "model": "sentence-transformers/all-mpnet-base-v2",
+    "input": ["This is an example sentence", "Each sentence is converted"]
+  }'
+```
+
+Or check the [Text Embeddings Inference API specification](https://huggingface.github.io/text-embeddings-inference/) instead.
+
 ------
 
 ## Background