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

@@ -6,6 +6,7 @@ tags:
 - feature-extraction
 - sentence-similarity
 - transformers
+- text-embeddings-inference
 pipeline_tag: sentence-similarity
 ---
 
@@ -65,7 +66,7 @@ encoded_input = tokenizer(sentences, padding=True, truncation=True, return_tenso
 with torch.no_grad():
     model_output = model(**encoded_input)
 
-# Perform pooling. In this case, max pooling.
+# Perform pooling. In this case, mean pooling.
 sentence_embeddings = mean_pooling(model_output, encoded_input['attention_mask'])
 
 print("Sentence embeddings:")
@@ -97,4 +98,36 @@ If you find this model helpful, feel free to cite our publication [Sentence-BERT
     publisher = "Association for Computational Linguistics",
     url = "http://arxiv.org/abs/1908.10084",
 }
-```
+```
+
+## Usage (Text Embeddings Inference (TEI))
+
+[Text Embeddings Inference (TEI)](https://github.com/huggingface/text-embeddings-inference) is a blazing fast inference solution for text embeddings 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/paraphrase-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/paraphrase-mpnet-base-v2 \
+  --pooling mean \
+  --dtype float16
+```
+
+Send a request to `/v1/embeddings` to generate embeddings via the [OpenAI Embeddings API](https://platform.openai.com/docs/api-reference/embeddings/create):
+```bash
+curl -s http://localhost:8080/v1/embeddings \
+  -H "Content-Type: application/json" \
+  -d '{
+    "model": "sentence-transformers/paraphrase-mpnet-base-v2",
+    "input": "This is an example sentence"
+  }'
+```
+
+Or check the [Text Embeddings Inference API specification](https://huggingface.github.io/text-embeddings-inference/) instead.