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
Download added_tokens.json from HCKLab/BiBert-NSP: direct link, hf CLI and curl.
- Browser
- Download file 82 Bytes
-
https://huggingface.co/HCKLab/BiBert-NSP/resolve/main/added_tokens.json
- Command line
-
hf download hf://HCKLab/BiBert-NSP/added_tokens.json
-
curl -L -o added_tokens.json https://huggingface.co/HCKLab/BiBert-NSP/resolve/main/added_tokens.json
82 Bytes
| { | |
| "[CLS]": 102, | |
| "[MASK]": 104, | |
| "[PAD]": 0, | |
| "[SEP]": 103, | |
| "[UNK]": 101 | |
| } | |