Sentence Similarity
sentence-transformers
Safetensors
bert
feature-extraction
Generated from Trainer
dataset_size:1489
loss:MultipleNegativesRankingLoss
text-embeddings-inference
Instructions to use ElijahDevPH/e5-resume-matcher-mnrl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use ElijahDevPH/e5-resume-matcher-mnrl with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("ElijahDevPH/e5-resume-matcher-mnrl") sentences = [ "query: Comfortable managing a six-figure monthly admin budget and reporting on spending trends", "passage: Student Information Systems Support\r\nRecent graduate targeting a Student Information Systems Support role, with strong academic projects, structured communication, and eagerness to contribute in fast-paced teams. Comfortable translating requirements into clear deliverables and collaborating across functions.\r\n0", "passage: Inspection Support", "passage: Budget Tracking" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
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