Instructions to use anikde/semantic-label-aware-BERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anikde/semantic-label-aware-BERT with Transformers:
# Load model directly from transformers import AutoTokenizer, JointBERT tokenizer = AutoTokenizer.from_pretrained("anikde/semantic-label-aware-BERT") model = JointBERT.from_pretrained("anikde/semantic-label-aware-BERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 56a06bf084833134c3286e64c9e1003407686ada2ef2e58437462990434f3aaa
- Size of remote file:
- 438 MB
- SHA256:
- 43041ba3bb56747ccecd6faee3c1755678dfea890cd22677559b92541184acca
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