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:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("HCKLab/BiBert-NSP") model = AutoModel.from_pretrained("HCKLab/BiBert-NSP", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 82 Bytes
cb2bec8 | 1 2 3 4 5 6 7 8 | {
"[CLS]": 102,
"[MASK]": 104,
"[PAD]": 0,
"[SEP]": 103,
"[UNK]": 101
}
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