Instructions to use caskcsg/InfoCSE-bert-base-rtd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use caskcsg/InfoCSE-bert-base-rtd with Transformers:
# Load model directly from transformers import AutoTokenizer, BertForCL tokenizer = AutoTokenizer.from_pretrained("caskcsg/InfoCSE-bert-base-rtd") model = BertForCL.from_pretrained("caskcsg/InfoCSE-bert-base-rtd") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
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:ce641492f141f5c9d89c23557269ca741ab5196a3b8fefe8fb907b11b1ceae2b
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size 1571903992
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