Instructions to use onlydj96/mpnet_pretrain_from_16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use onlydj96/mpnet_pretrain_from_16 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="onlydj96/mpnet_pretrain_from_16")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("onlydj96/mpnet_pretrain_from_16") model = AutoModelForMaskedLM.from_pretrained("onlydj96/mpnet_pretrain_from_16") - 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 sha256:7ad662b57128f8eb966cd705eea514b5abe94d1d5483cedfc5af905955b555fe
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size 442626488
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