My Fine-Tuned Sentence Transformer
This model is fine-tuned from sentence-transformers/all-mpnet-base-v2. It was trained in pair with a custom classifier to predict scam/not scam scenarios.
Usage (Sentence-Transformers)
Using this model becomes easy when you have sentence-transformers installed:
pip install -U sentence-transformers
Then you can use the model like this:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("cuteo23/scam_finetuned")
embeddings = model.encode(["Hello world"])
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Model tree for cuteo23/scam_finetuned
Base model
sentence-transformers/all-mpnet-base-v2
from sentence_transformers import SentenceTransformer model = SentenceTransformer("cuteo23/scam_finetuned") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3]