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")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("microsoft/mpnet-base") model = AutoModelForMaskedLM.from_pretrained("microsoft/mpnet-base") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit History
update weight 5b7474c
StillKeepTry commited on
delete tf weight 9980143
StillKeepTry commited on
submit tf 2.0 model a6a623d
StillKeepTry commited on
submit pytorch model a1ec8e3
StillKeepTry commited on
submit vocab, config 3ea6eb5
StillKeepTry commited on