Instructions to use BM-K/KoSimCSE-roberta-multitask with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BM-K/KoSimCSE-roberta-multitask with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="BM-K/KoSimCSE-roberta-multitask")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("BM-K/KoSimCSE-roberta-multitask") model = AutoModel.from_pretrained("BM-K/KoSimCSE-roberta-multitask", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download special_tokens_map.json from BM-K/KoSimCSE-roberta-multitask: direct link, hf CLI and curl.
- Browser
- Download file 156 Bytes
-
https://huggingface.co/BM-K/KoSimCSE-roberta-multitask/resolve/main/special_tokens_map.json
- Command line
-
hf download hf://BM-K/KoSimCSE-roberta-multitask/special_tokens_map.json
-
curl -L -o special_tokens_map.json https://huggingface.co/BM-K/KoSimCSE-roberta-multitask/resolve/main/special_tokens_map.json
156 Bytes
| {"bos_token": "[CLS]", "eos_token": "[SEP]", "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"} |