transformers safetensors bert feature-extraction text-embeddings-inference endpoints_compatible region:us
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# pet-shop-100-64-4_9062874564

## Model Description

pet-shop-100-64-4_9062874564 is a fine-tuned version of 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/florianhoenicke/pet-shop-100-64-4_9062874564).

## 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

model_name = "pet-shop-100-64-4_9062874564"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModel.from_pretrained(model_name)

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