Text Classification
Transformers
PyTorch
ONNX
Safetensors
Transformers.js
multilingual
xlm-roberta
reranker
cross-encoder
custom_code
text-embeddings-inference
Instructions to use Amlan99/jina-reranker-v2-base-multilingual with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Amlan99/jina-reranker-v2-base-multilingual with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Amlan99/jina-reranker-v2-base-multilingual", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Amlan99/jina-reranker-v2-base-multilingual", trust_remote_code=True) model = AutoModelForSequenceClassification.from_pretrained("Amlan99/jina-reranker-v2-base-multilingual", trust_remote_code=True, device_map="auto") - Transformers.js
How to use Amlan99/jina-reranker-v2-base-multilingual with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('text-classification', 'Amlan99/jina-reranker-v2-base-multilingual'); - Notebooks
- Google Colab
- Kaggle
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