Instructions to use KM4STfulltext/CSSCI_ABS_BERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KM4STfulltext/CSSCI_ABS_BERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="KM4STfulltext/CSSCI_ABS_BERT")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("KM4STfulltext/CSSCI_ABS_BERT") model = AutoModelForMaskedLM.from_pretrained("KM4STfulltext/CSSCI_ABS_BERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
4446350
1
Parent(s): c22fb91
Delete tokenizer_config.json
Browse files- tokenizer_config.json +0 -1
tokenizer_config.json
DELETED
|
@@ -1 +0,0 @@
|
|
| 1 |
-
{"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": null, "name_or_path": "/home/admin/pretrain_models/bert-base-chinese", "do_basic_tokenize": true, "never_split": null, "tokenizer_class": "BertTokenizer"}
|
|
|
|
|
|