Instructions to use UdS-LSV/simcse-smole-bert-muv-mlm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use UdS-LSV/simcse-smole-bert-muv-mlm with Transformers:
# Load model directly from transformers import AutoTokenizer, BertForCL tokenizer = AutoTokenizer.from_pretrained("UdS-LSV/simcse-smole-bert-muv-mlm") model = BertForCL.from_pretrained("UdS-LSV/simcse-smole-bert-muv-mlm") - Notebooks
- Google Colab
- Kaggle
| {"do_lower_case": true, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "do_basic_tokenize": true, "never_split": null, "special_tokens_map_file": "/nethome/skhan/.cache/huggingface/transformers/9262236af984d12fa1266694934a4e3fa3c0a1a9077975e9bf8a7ce03508e14d.dd8bd9bfd3664b530ea4e645105f557769387b3da9f79bdb55ed556bdd80611d", "name_or_path": "shahrukhx01/smole-bert"} |