Sentence Similarity
sentence-transformers
Safetensors
bert
feature-extraction
Generated from Trainer
dataset_size:200
loss:SoftmaxLoss
text-embeddings-inference
Instructions to use zihoo/all-MiniLM-L6-v2-AINLI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use zihoo/all-MiniLM-L6-v2-AINLI with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("zihoo/all-MiniLM-L6-v2-AINLI") sentences = [ " AI significantly contributes to my research efficiency,", " I feel apprehensive about AIs influence on job markets,", " AI tools support me in delivering better results,", " AI could reduce the need for human intervention in many fields," ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
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