Sentence Similarity
sentence-transformers
Safetensors
mpnet
feature-extraction
dense
Generated from Trainer
dataset_size:25
loss:CosineSimilarityLoss
text-embeddings-inference
Instructions to use harshlaghave/fine-tuned-internship-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use harshlaghave/fine-tuned-internship-model with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("harshlaghave/fine-tuned-internship-model") sentences = [ "\"flutterdartui/uxginformation technologyfirebase\"", "pythondjangoflaskmysql", "awsdockerpythonkubernetes", "flutterdartui/uxfirebase" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
Gated model You can list files but not access them
Preview of files found in this repository