Update README.md

README.md

@@ -4,9 +4,9 @@ language:
 license: apache-2.0
 ---
 
-# Luxical One
+# Luxical-One
 
-This is a small lexical-dense text embedding model distilled for English-language symmetrical full-document text similarity and classification applications from [`Snowflake/snowflake-arctic-embed-m-v2.0`](https://huggingface.co/Snowflake/snowflake-arctic-embed-m-v2.0).
+Luxical-One is a small lexical-dense text embedding model distilled from [`Snowflake/snowflake-arctic-embed-m-v2.0`](https://huggingface.co/Snowflake/snowflake-arctic-embed-m-v2.0). It is optimized for high-throughput embedding without GPU acceleration, and it is trained for English-language symmetrical full-document text similarity and classification applications.
 
 ## Quickstart
 
@@ -23,14 +23,8 @@ pip install luxical
 To load and use the model in `transformers`:
 ``` python
 from transformers import AutoModel
-from pathlib import Path
 
-# Load from the Huggingface Hub.
-hub_model = AutoModel.from_pretrained(
-    "datologyai/luxical-one",
-    trust_remote_code=True,
-)
-
-# Embed some text.
-emb = local_model(["Luxical integrates with Huggingface."]).embeddings
+example_text = "Luxical integrates with Huggingface."
+luxical_one = AutoModel.from_pretrained("datologyai/luxical-one", trust_remote_code=True)
+embeddings = luxical_one([example_text]).embeddings
 ```