Instructions to use Qdrant/gte-base-onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Qdrant/gte-base-onnx with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Qdrant/gte-base-onnx") model = AutoModel.from_pretrained("Qdrant/gte-base-onnx", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Quick Links
ONNX port of thenlper/gte-base for text classification and similarity searches.
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# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Qdrant/gte-base-onnx") model = AutoModel.from_pretrained("Qdrant/gte-base-onnx", device_map="auto")