Instructions to use EthanChen0418/task2_macbert_multi_class with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EthanChen0418/task2_macbert_multi_class with Transformers:
# Load model directly from transformers import AutoTokenizer, BertForTask2MultiClass tokenizer = AutoTokenizer.from_pretrained("EthanChen0418/task2_macbert_multi_class") model = BertForTask2MultiClass.from_pretrained("EthanChen0418/task2_macbert_multi_class", device_map="auto") - 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, "special_tokens_map_file": "/home/yicheng/.cache/huggingface/transformers/9f382d012cf0761684535742ec8cf1096e0be52359ee0389a418eaada1265367.dd8bd9bfd3664b530ea4e645105f557769387b3da9f79bdb55ed556bdd80611d", "name_or_path": "model", "tokenizer_class": "BertTokenizer"} |