medical-1000-64-16-jinaai_jina-embeddings-v2-small-en-1000-gpt-3.5-tur_9062874564

Model Description

medical-1000-64-16-jinaai_jina-embeddings-v2-small-en-1000-gpt-3.5-tur_9062874564 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 = "medical-1000-64-16-jinaai_jina-embeddings-v2-small-en-1000-gpt-3.5-tur_9062874564"
tokenizer = AutoTokenizer.from_pretrained(llm_name)
model = AutoModel.from_pretrained(llm_name)

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