Instructions to use nreimers/MiniLM-L6-H384-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nreimers/MiniLM-L6-H384-uncased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="nreimers/MiniLM-L6-H384-uncased")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("nreimers/MiniLM-L6-H384-uncased") model = AutoModel.from_pretrained("nreimers/MiniLM-L6-H384-uncased") - Inference
- Notebooks
- Google Colab
- Kaggle
MiniLM: 6 Layer Version
This is a 6 layer version of microsoft/MiniLM-L12-H384-uncased by keeping only every second layer.
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