Sentence Similarity
sentence-transformers
Safetensors
mpnet
feature-extraction
Generated from Trainer
dataset_size:55
loss:CosineSimilarityLoss
text-embeddings-inference
Instructions to use chamalbistec/fine-tuned-model-resume with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use chamalbistec/fine-tuned-model-resume with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("chamalbistec/fine-tuned-model-resume") sentences = [ "Continuous Integration", "CI/CD", "Financial Analysis", "UAT" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
error while loading the model
#1 opened over 1 year ago
by
Rahul-INX