Instructions to use Qdrant/gte-large-onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Qdrant/gte-large-onnx with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Qdrant/gte-large-onnx") model = AutoModel.from_pretrained("Qdrant/gte-large-onnx", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update padding
#2
by jmzzomg - opened
- tokenizer.json +1 -3
tokenizer.json
CHANGED
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@@ -7,9 +7,7 @@
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"stride": 0
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},
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"padding": {
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-
"strategy":
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"Fixed": 128
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},
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"direction": "Right",
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"pad_to_multiple_of": null,
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"pad_id": 0,
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"stride": 0
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},
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"padding": {
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+
"strategy": "BatchLongest",
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"direction": "Right",
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"pad_to_multiple_of": null,
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"pad_id": 0,
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