Instructions to use jamiealexandre/mpnet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jamiealexandre/mpnet with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="jamiealexandre/mpnet")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("jamiealexandre/mpnet") model = AutoModel.from_pretrained("jamiealexandre/mpnet", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:5f719168ce0f7cadfdcf777dadad12e5c9eed75ac093816e533b436d0ea5ff1f
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size 1112201288
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