transformers safetensors bert feature-extraction custom_code text-embeddings-inference endpoints_compatible region:us
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# fine-tuned/jina-embeddings-v2-base-en-02052024-pmvv-webapp_8647177611

## Model Description

fine-tuned/jina-embeddings-v2-base-en-02052024-pmvv-webapp_8647177611 is a fine-tuned version of jinaai/jina-embeddings-v2-base-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**](https://huggingface.co/datasets/fine-tuned/fine-tuned/jina-embeddings-v2-base-en-02052024-pmvv-webapp_8647177611).

## 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:

```python
from transformers import AutoModel, AutoTokenizer

llm_name = "fine-tuned/jina-embeddings-v2-base-en-02052024-pmvv-webapp_8647177611"
tokenizer = AutoTokenizer.from_pretrained(llm_name)
model = AutoModel.from_pretrained(llm_name, trust_remote_code=True)

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