Instructions to use Qdrant/gte-large-onnx-Q with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Qdrant/gte-large-onnx-Q with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Qdrant/gte-large-onnx-Q") model = AutoModel.from_pretrained("Qdrant/gte-large-onnx-Q", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Added a model card (#1)
Verified signature- Added a model card (59e754121b5d42cbee411fe3627debaf328eca7a) - Update README.md (2b1be5d87ef74c77cb2fc29d87a1e7dcb22530d5) Co-authored-by: Anush Shetty <Anush008@users.noreply.huggingface.co>15689f8
-
Upload ort_config.json with huggingface_hub
Verified signature66cbed0 -
Upload vocab.txt with huggingface_hub
Verified signaturebbc212b -
Upload tokenizer.json with huggingface_hub
Verified signature6eb560e -
Upload config.json with huggingface_hub
Verified signature376dddc -
Upload special_tokens_map.json with huggingface_hub
Verified signature6cdb6dc -
Upload tokenizer_config.json with huggingface_hub
Verified signature426a46f -
Upload model_optimized.onnx with huggingface_hub
Verified signaturece8d2b3 -
initial commit
Verified signature8403c9f