florianhoenicke/e-commerce-1000-64-16-jinaai_jina-embeddings-v2-small-en-1000_9062874564

e-commerce-1000-64-16-jinaaijina-embeddings-v2-small-en-10009062874564

Model Description

e-commerce-1000-64-16-jinaaijina-embeddings-v2-small-en-10009062874564 is a fine-tuned version of jinaai/jina-embeddings-v2-small-en designed for a specific domain.

Use Case

This model is designed to support various applications in natural language processing and understanding.

Associated Dataset

This the dataset for this model can be found **here**.

How to Use

This model can be easily integrated into your NLP pipeline for tasks such as text classification, sentiment analysis, entity recognition, and more. Here's a simple example to get you started:

from transformers import AutoModel, AutoTokenizer

llm_name = "e-commerce-1000-64-16-jinaai_jina-embeddings-v2-small-en-1000_9062874564"
tokenizer = AutoTokenizer.from_pretrained(llm_name)
model = AutoModel.from_pretrained(llm_name)

tokens = tokenizer("Your text here", return_tensors="pt")
embedding = model(**tokens)