Sentence Similarity
sentence-transformers
Safetensors
bert
feature-extraction
Generated from Trainer
dataset_size:1066
loss:CosineSimilarityLoss
text-embeddings-inference
Instructions to use HondaALI/AI-Auditing-Findings-Dectector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use HondaALI/AI-Auditing-Findings-Dectector with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("HondaALI/AI-Auditing-Findings-Dectector") sentences = [ "2 types of grommets at the R/S Interior Brush process were labeled but were in blue containers that were not labeled.", "Weld Sealer Barrel Change Work Instruction (WI-WE11182) requires used sealer barrels to be labeled \"WASTE\" & requires the sealer barrel log to be updated when sealer barrels are replaced.", "The organization shall ensure that relevant documented information is amended, and that relevant persons are made aware of the changed requirements, when the requirements for products and services are changed.", "Provide identification for all individual parts or containers through all stages of production" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!