Instructions to use ef-zulla/ort-e5-small-multi-quantized with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ef-zulla/ort-e5-small-multi-quantized with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="ef-zulla/ort-e5-small-multi-quantized")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("ef-zulla/ort-e5-small-multi-quantized") model = AutoModel.from_pretrained("ef-zulla/ort-e5-small-multi-quantized") - Notebooks
- Google Colab
- Kaggle
Upload model_quantized.onnx with huggingface_hub
Browse files- model_quantized.onnx +3 -0
model_quantized.onnx
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size 118346442
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