fix(username): update model name

.env.example

@@ -1,5 +1,5 @@
 # Model Settings
-TRANSFORMER_MODEL_NAME=Free-Law-Project/modernbert-embed-base_finetune_512
+TRANSFORMER_MODEL_NAME=freelawproject/modernbert-embed-base_finetune_512
 TRANSFORMER_MODEL_VERSION=main
 MAX_TOKENS=512
 OVERLAP_RATIO=0.004

README.md

@@ -12,7 +12,7 @@ The service is optimized to handle two main use cases:
 
 ## Features
 
-- Specialized text embedding generation for legal documents using `Free-Law-Project/modernbert-embed-base_finetune_512`, a `sentence_transformer` model finetuned on top of `nomic-ai/modernbert-embed-base`
+- Specialized text embedding generation for legal documents using `freelawproject/modernbert-embed-base_finetune_512`, a `sentence_transformer` model finetuned on top of `nomic-ai/modernbert-embed-base`
 - Intelligent text chunking optimized for court opinions, based on sentence boundaries
 - Dedicated CPU-based processing for search queries, ensuring fast response times
 - GPU acceleration support for processing lengthy court opinions
@@ -33,7 +33,7 @@ cp .env.example .env
 Model Settings:
 - `TRANSFORMER_MODEL_NAME`
 
-    Default: `Free-Law-Project/modernbert-embed-base_finetune_512`
+    Default: `freelawproject/modernbert-embed-base_finetune_512`
 
     The name or path of the SentenceTransformer model to use for generating embeddings.
 

inception/config.py

@@ -4,7 +4,7 @@
 
 class Settings(BaseSettings):
     transformer_model_name: str = Field(
-        "Free-Law-Project/modernbert-embed-base_finetune_512",
+        "freelawproject/modernbert-embed-base_finetune_512",
         description="Name of the transformer model to use",
     )
     transformer_model_version: str = Field(