Instructions to use HCKLab/BiBert-NSP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HCKLab/BiBert-NSP with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("HCKLab/BiBert-NSP") model = AutoModel.from_pretrained("HCKLab/BiBert-NSP") - 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 sha256:502b4d0e4e26023a14ba129d56acb0448ddb0a4e1823ef2089f99f3ac06e7cc6
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size 439740424
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