Text Classification
Transformers
ONNX
Safetensors
Transformers.js
Arabic
bert
reranker
cross-encoder
miniReranker
passage-retrieval
knowledge-distillation
text-embeddings-inference
Instructions to use prithivida/miniReranker_arabic_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prithivida/miniReranker_arabic_v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="prithivida/miniReranker_arabic_v1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("prithivida/miniReranker_arabic_v1") model = AutoModelForSequenceClassification.from_pretrained("prithivida/miniReranker_arabic_v1") - Transformers.js
How to use prithivida/miniReranker_arabic_v1 with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('text-classification', 'prithivida/miniReranker_arabic_v1'); - Notebooks
- Google Colab
- Kaggle
Ctrl+K