How to use SwarajSolanke-turtle/make-model-mapping-TSDAE with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("SwarajSolanke-turtle/make-model-mapping-TSDAE") sentences = [ "mini", "mini contryman e electric 1", "tata safari xm diesel 1956", "daewoo cielo glx petrol 1498" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
https://huggingface.co/SwarajSolanke-turtle/make-model-mapping-TSDAE/resolve/main/1_Pooling/config.json
hf download hf://SwarajSolanke-turtle/make-model-mapping-TSDAE/1_Pooling/config.json
curl -L -o config.json https://huggingface.co/SwarajSolanke-turtle/make-model-mapping-TSDAE/resolve/main/1_Pooling/config.json
