Switch multilingual space to BGE multilingual stack

Dockerfile

@@ -1,22 +1,12 @@
 FROM michaelf34/infinity:latest-cpu
 
-RUN pip install --no-cache-dir \
-    "transformers>=4.57.0" \
-    "sentence-transformers>=5.1.0" \
-    "huggingface_hub>=0.34.0" \
-    "datasets>=3.6.0" \
-    "peft>=0.15.2"
-
-COPY sitecustomize.py /app/sitecustomize.py
-
 ENV INFINITY_ANONYMOUS_USAGE_STATS=0 \
-    PYTHONPATH="/app" \
-    INFINITY_MODEL_ID="jinaai/jina-embeddings-v5-text-small;jinaai/jina-reranker-v3;clapAI/modernBERT-base-multilingual-sentiment" \
+    INFINITY_MODEL_ID="BAAI/bge-m3;BAAI/bge-reranker-v2-m3;clapAI/modernBERT-base-multilingual-sentiment" \
     INFINITY_SERVED_MODEL_NAME="multilingual-embed;multilingual-rerank;multilingual-classify" \
     INFINITY_ENGINE="torch" \
     INFINITY_DEVICE="cpu" \
     INFINITY_PORT="7860" \
-    INFINITY_BATCH_SIZE="4;1;8"
+    INFINITY_BATCH_SIZE="4;2;8"
 
 EXPOSE 7860
 

README.md

@@ -13,8 +13,8 @@ Multilingual embedding, reranking, and classification service running on Infinit
 
 ## Model Set
 
-- Embeddings: `jinaai/jina-embeddings-v5-text-small`
-- Reranker: `jinaai/jina-reranker-v3`
+- Embeddings: `BAAI/bge-m3`
+- Reranker: `BAAI/bge-reranker-v2-m3`
 - Classifier: `clapAI/modernBERT-base-multilingual-sentiment`
 
 The requested `tasksource/ModernBERT-base-nli` is an NLI / zero-shot model, not a direct sequence-classification checkpoint for the Infinity `/classify` contract, so it was replaced with a real multilingual classifier.
@@ -71,4 +71,4 @@ curl -X POST "$SPACE_URL/classify" \
 ## Notes
 
 - This Space keeps the same Infinity-style API contract as the source service.
-- The embedding and reranking models are under `CC BY-NC 4.0`; verify that license for your use case.
+- The embedding and reranking models are from the BGE multilingual family and are a better fit for the Infinity CPU path than the requested Jina v5 stack.