Instructions to use TitanML/jina-v2-code-embed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TitanML/jina-v2-code-embed with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("TitanML/jina-v2-code-embed", trust_remote_code=True) model = AutoModel.from_pretrained("TitanML/jina-v2-code-embed", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
| # Jina V2 Embed Model | |
| Reupload of the jina embedding model that removes the dependence on onnx and optimum, by recreating it with a custom class in Takeoff. | |