sentence-transformers safetensors bert feature-extraction sentence-similarity mteb Events Meetups Networking Community Social custom_code en dataset:fine-tuned/jina-embeddings-v2-base-en-03052024-73xx-webapp dataset:allenai/c4 license:apache-2.0 autotrain_compatible text-embeddings-inference endpoints_compatible region:us
---
datasets:
- fine-tuned/jina-embeddings-v2-base-en-03052024-73xx-webapp
- allenai/c4
language:
- en
license: apache-2.0
pipeline_tag: feature-extraction
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- mteb
- Events
- Meetups
- Networking
- Community
- Social
---
This model is a fine-tuned version of [**jinaai/jina-embeddings-v2-base-en**](https://huggingface.co/jinaai/jina-embeddings-v2-base-en) designed for the following use case:
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

llm_name = "jina-embeddings-v2-base-en-03052024-73xx-webapp"
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)
```
