Instructions to use perceptiveshawty/compositional-bert-base-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use perceptiveshawty/compositional-bert-base-uncased with Transformers:
# Load model directly from transformers import AutoTokenizer, BertForCL tokenizer = AutoTokenizer.from_pretrained("perceptiveshawty/compositional-bert-base-uncased") model = BertForCL.from_pretrained("perceptiveshawty/compositional-bert-base-uncased") - 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:df3eababe85f822a337009bea4a88310c732edcf20bc4012b7074e5ca12ee76f
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size 435857296
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