Instructions to use scite/ms-marco-MiniLM-L-12-v2-onnx-optimized-gpu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use scite/ms-marco-MiniLM-L-12-v2-onnx-optimized-gpu with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="scite/ms-marco-MiniLM-L-12-v2-onnx-optimized-gpu")# Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("scite/ms-marco-MiniLM-L-12-v2-onnx-optimized-gpu", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
ef6be9a
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Parent(s): cdd6d02
Upload model.onnx with huggingface_hub
Browse files- model.onnx +3 -0
model.onnx
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