Feature Extraction
Transformers
ONNX
Safetensors
Transformers.js
bert
sentence-similarity
text-ranking
tagline
saas
text-embeddings-inference
Instructions to use standd/tagline-quality-e5-ranker with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use standd/tagline-quality-e5-ranker with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="standd/tagline-quality-e5-ranker")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("standd/tagline-quality-e5-ranker") model = AutoModel.from_pretrained("standd/tagline-quality-e5-ranker") - Transformers.js
How to use standd/tagline-quality-e5-ranker with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('feature-extraction', 'standd/tagline-quality-e5-ranker'); - Notebooks
- Google Colab
- Kaggle