Instructions to use aubmindlab/bert-base-arabert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aubmindlab/bert-base-arabert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="aubmindlab/bert-base-arabert")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("aubmindlab/bert-base-arabert") model = AutoModelForMaskedLM.from_pretrained("aubmindlab/bert-base-arabert") - Notebooks
- Google Colab
- Kaggle
aubmindlab commited on
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Parent(s): 6b78a01
Added fast tokenizer files
Browse files- tokenizer.json +0 -0
- tokenizer_config.json +1 -1
tokenizer.json
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tokenizer_config.json
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{"do_lower_case": false, "do_basic_tokenize": true, "never_split": ["+وا", "س+", "[مستخدم]", "+ك", "+هم", "+ة", "+ن", "لل+", "[بريد]", "[رابط]", "+ه", "+كن", "+ا", "+ات", "+ي", "ب+", "+نا", "+هن", "+كم", "ك+", "+ين", "+هما", "و+", "+كما", "+ان", "+ت", "+ون", "ل+", "+ها", "ال+", "ف+"], "special_tokens_map_file": null, "full_tokenizer_file": null}
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{"do_lower_case": false, "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": ["+وا", "س+", "[مستخدم]", "+ك", "+هم", "+ة", "+ن", "لل+", "[بريد]", "[رابط]", "+ه", "+كن", "+ا", "+ات", "+ي", "ب+", "+نا", "+هن", "+كم", "ك+", "+ين", "+هما", "و+", "+كما", "+ان", "+ت", "+ون", "ل+", "+ها", "ال+", "ف+"], "special_tokens_map_file": null, "full_tokenizer_file": null, "name_or_path": "aubmindlab/bert-base-arabert"}
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