Instructions to use onlydj96/mpnet_pretrain_first_train with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use onlydj96/mpnet_pretrain_first_train with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="onlydj96/mpnet_pretrain_first_train")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("onlydj96/mpnet_pretrain_first_train") model = AutoModelForMaskedLM.from_pretrained("onlydj96/mpnet_pretrain_first_train") - 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:a2e2ffb37e860c7ac44aa5904118b967857f7a56600be0a3c7a5378a8974f8f5
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size 442626488
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