Instructions to use soeque1/kosimcse with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use soeque1/kosimcse with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="soeque1/kosimcse")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("soeque1/kosimcse") model = AutoModel.from_pretrained("soeque1/kosimcse", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| {"do_lower_case": false, "remove_space": true, "keep_accents": false, "bos_token": "[CLS]", "eos_token": "[SEP]", "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": {"content": "[MASK]", "single_word": false, "lstrip": true, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "additional_special_tokens": null, "sp_model_kwargs": {}, "model_max_length": 512, "tokenizer_class": "XLNetTokenizer"} |