Instructions to use Qdrant/bge-large-en-v1.5-onnx-Q with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Qdrant/bge-large-en-v1.5-onnx-Q with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Qdrant/bge-large-en-v1.5-onnx-Q")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Qdrant/bge-large-en-v1.5-onnx-Q") model = AutoModel.from_pretrained("Qdrant/bge-large-en-v1.5-onnx-Q", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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