Instructions to use microsoft/Multilingual-MiniLM-L12-H384 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/Multilingual-MiniLM-L12-H384 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="microsoft/Multilingual-MiniLM-L12-H384")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("microsoft/Multilingual-MiniLM-L12-H384", dtype="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Adding ONNX file of this model
#7 opened 3 months ago
by
sheperdh
Number of languages
#5 opened about 2 years ago
by
Rithin1605
Adding `safetensors` variant of this model
#4 opened over 2 years ago
by
SFconvertbot
ONNX Inference in NodeJS
#2 opened over 3 years ago
by
loretoparisi