Custom t2v-transformers image produces different vectors

[erickfoxbase]

Thank you @antas-marcin it works great

I have a new problem now. I have described it in a new thread here

Cannot access gated hugging face repo

Setup: Weaviate 1.23.7 weaviate-client = “4.4.1” Description I want to use the latest German language model by Jina AI: It is a gated model and they request a token from the hugging face CLI. I have done so but I have issues injecting the token into my Docker file. To deploy the text2vec module with my custom image I have the following jina_ve.Dockerfile ARG HF_TOKEN ENV HF_TOKEN=${HF_TOKEN} FROM semitechnologies/transformers-inference:custom RUN USE_SENTENCE_TRANSFORMERS_VECTORIZER=true…

but basically I cannot access a gated HF repo to created a custom vectorizer. Maybe the module does not support injecting secrets into the docker file yet? or a bug? or I am doing incorrectly?