forgot semicolon (in python lol)

backend/Dockerfile

@@ -69,7 +69,8 @@ RUN apt-get update && \
 
 # Pre-downloading models for setups with limited egress
 RUN python -c "from tokenizers import Tokenizer; \
-Tokenizer.from_pretrained('nomic-ai/nomic-embed-text-v1')"
+Tokenizer.from_pretrained('nomic-ai/nomic-embed-text-v1'); \
+Tokenizer.from_pretrained('intfloat/e5-base-v2')"
 
 
 # Pre-downloading NLTK for setups with limited egress

backend/Dockerfile.model_server

@@ -26,9 +26,11 @@ AutoTokenizer.from_pretrained('distilbert-base-uncased', cache_folder='/root/.ca
 AutoTokenizer.from_pretrained('mixedbread-ai/mxbai-rerank-xsmall-v1', cache_folder='/root/.cache/temp_huggingface/hub/'); \
 from huggingface_hub import snapshot_download; \
 snapshot_download(repo_id='danswer/hybrid-intent-token-classifier', revision='v1.0.3', cache_dir='/root/.cache/temp_huggingface/hub/'); \
+snapshot_download('intfloat/e5-base-v2', cache_dir='/root/.cache/temp_huggingface/hub/'); \
 snapshot_download('nomic-ai/nomic-embed-text-v1', cache_dir='/root/.cache/temp_huggingface/hub/'); \
 snapshot_download('mixedbread-ai/mxbai-rerank-xsmall-v1', cache_dir='/root/.cache/temp_huggingface/hub/'); \
 from sentence_transformers import SentenceTransformer; \
+SentenceTransformer(model_name_or_path='intfloat/e5-base-v2', trust_remote_code=True, cache_folder='/root/.cache/temp_huggingface/hub/'); \
 SentenceTransformer(model_name_or_path='nomic-ai/nomic-embed-text-v1', trust_remote_code=True, cache_folder='/root/.cache/temp_huggingface/hub/');"
 
 WORKDIR /app