Instructions to use Xenova/text-embedding-ada-002 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Xenova/text-embedding-ada-002 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Xenova/text-embedding-ada-002", device_map="auto") - Transformers.js
How to use Xenova/text-embedding-ada-002 with Transformers.js:
// ⚠️ Unknown pipeline tag
- Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Xenova/text-embedding-ada-002: direct link, hf CLI and curl.
- Browser
- Download file 4.23 MB
-
https://huggingface.co/Xenova/text-embedding-ada-002/resolve/main/tokenizer.json
- Command line
-
hf download hf://Xenova/text-embedding-ada-002/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Xenova/text-embedding-ada-002/resolve/main/tokenizer.json
4.23 MB
File too large to display, you can check the raw version instead.