Sentence Similarity
sentence-transformers
Safetensors
bert
feature-extraction
dense
Generated from Trainer
dataset_size:1396
loss:CosineSimilarityLoss
text-embeddings-inference
Instructions to use Mactavish1996/bge-large-skills-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Mactavish1996/bge-large-skills-finetuned with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Mactavish1996/bge-large-skills-finetuned") sentences = [ "Jetpack Compose", "computer vision", "Heroku", "Pulumi" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
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