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
Commit History
-
Add/update the quantized ONNX model files and README.md for Transformers.js v3 (#6)
Verified signature- Add/update the quantized ONNX model files and README.md for Transformers.js v3 (8bc01df0907d213b79aef8c14dcce6d595c740eb) - Update README.md (915bac2a7b5c4a48d4122cfdd5f1939b52c20442) Co-authored-by: Yuichiro Tachibana <whitphx@users.noreply.huggingface.co>f206987
-
Update tokenizer_config.json
Verified signature63aaf93
-
Upload 5 files (#4)
Verified signature- Upload 5 files (ced49345ae2da190a62ba96ed7ab4afac46d2637)40a3a35
-
Create README.md
3454469 -
Upload 3 files
2029597 -
Upload 2 files
432a751 -
initial commit
795eb80