Instructions to use Brendar/MaBePa_STS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Brendar/MaBePa_STS with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Brendar/MaBePa_STS")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Brendar/MaBePa_STS") model = AutoModel.from_pretrained("Brendar/MaBePa_STS") - 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 sha256:58538c10819d4e1d7ad0cddd377c2b8b1607a9434049f81222ff06a255e39619
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size 439430072
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