Instructions to use KISTI-AI/Scideberta-full with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KISTI-AI/Scideberta-full with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="KISTI-AI/Scideberta-full")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("KISTI-AI/Scideberta-full", dtype="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:d372e936e5a757183f86b504f159e8ddd8c8259d9a54d1c1051ebd76f7dde899
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size 369914848
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