Instructions to use JLake310/bert-p-encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JLake310/bert-p-encoder with Transformers:
# Load model directly from transformers import AutoTokenizer, HFBertEncoder tokenizer = AutoTokenizer.from_pretrained("JLake310/bert-p-encoder") model = HFBertEncoder.from_pretrained("JLake310/bert-p-encoder", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 125 Bytes
15ca20c | 1 2 3 4 5 6 7 8 | {
"unk_token": "[UNK]",
"sep_token": "[SEP]",
"pad_token": "[PAD]",
"cls_token": "[CLS]",
"mask_token": "[MASK]"
}
|