huseinzol05/albert-base-bahasa-cased

Albert-base-bahasa-cased model was pretrained on ~1.8 Billion words . We trained on both standard and social media language structures . This model was trained using Google Albert's Github repository on v3-8 TPU . You can use this model by installing torch or tensorflow and Huggingface library transformers . And you can use it directly by initializing it like this: AlbertModel = BertModel.from_pretrained('huseinzol05/albert/bahasa/cased') The output is, 'sequence': '[CLS] makan ayam dengan sayur[SEP]', 'score,