Instructions to use microsoft/mpnet-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/mpnet-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="microsoft/mpnet-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("microsoft/mpnet-base") model = AutoModelForMaskedLM.from_pretrained("microsoft/mpnet-base", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download .gitattributes from microsoft/mpnet-base: direct link, hf CLI and curl.
- Browser
- Download file 345 Bytes
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https://huggingface.co/microsoft/mpnet-base/resolve/refs%2Fpr%2F2/.gitattributes
- Command line
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hf download hf://microsoft/mpnet-base@refs/pr/2/.gitattributes
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curl -L -o .gitattributes https://huggingface.co/microsoft/mpnet-base/resolve/refs%2Fpr%2F2/.gitattributes
345 Bytes
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