Instructions to use aleksahet/radiant-elevator-179 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aleksahet/radiant-elevator-179 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="aleksahet/radiant-elevator-179")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("aleksahet/radiant-elevator-179") model = AutoModelForMaskedLM.from_pretrained("aleksahet/radiant-elevator-179") - 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 sha256:98c465d718c87c08ce4077ed79bc0ba99d7d787b5dbd60f60033687e1fa42f42
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size 32557340
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