Instructions to use subhasisj/MiniLMv2-qa-encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use subhasisj/MiniLMv2-qa-encoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="subhasisj/MiniLMv2-qa-encoder")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("subhasisj/MiniLMv2-qa-encoder") model = AutoModelForMaskedLM.from_pretrained("subhasisj/MiniLMv2-qa-encoder") - Notebooks
- Google Colab
- Kaggle