transformers safetensors bert feature-extraction custom_code text-embeddings-inference endpoints_compatible region:us
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# complete_9062874564

## Model Description

complete_9062874564 is a state-of-the-art embedding model designed to support various applications in natural language processing and understanding. It's built using the latest advancements in deep learning and natural language processing technologies to provide high-quality embeddings that capture contextual nuances and semantic meanings.

## Use Cases

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

## 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 = "complete_9062874564"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModel.from_pretrained(model_name)

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