sentence-transformers How to use srikarvar/fine_tuned_model_14 with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("srikarvar/fine_tuned_model_14")
sentences = [
"No, it doesn't exist in version 5.3.1.",
"The `from_dictionary` function requires the following:\n- `data` (Union[dict, Mapping]): A collection of keys linked to values or Python objects.\n- `schema` (Schema, optional): If not given, it will be determined from the Mapping values.\n- `metadata` (Union[dict, Mapping], optional): Optional metadata for the schema (if inferred).",
"Stages of photosynthesis",
"Version 5.3.1 does not contain it."
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
