Text Classification
Transformers
Safetensors
Arabic
bert
arabic
arabert
arcode
text-embeddings-inference
Instructions to use arcode-standard/arcode-bert-v0.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arcode-standard/arcode-bert-v0.1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="arcode-standard/arcode-bert-v0.1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("arcode-standard/arcode-bert-v0.1") model = AutoModelForSequenceClassification.from_pretrained("arcode-standard/arcode-bert-v0.1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from arcode-standard/arcode-bert-v0.1: direct link, hf CLI and curl.
- Browser
- Download file 929 Bytes
-
https://huggingface.co/arcode-standard/arcode-bert-v0.1/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://arcode-standard/arcode-bert-v0.1/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/arcode-standard/arcode-bert-v0.1/resolve/main/tokenizer_config.json
929 Bytes
| { | |
| "backend": "tokenizers", | |
| "cls_token": "[CLS]", | |
| "do_basic_tokenize": true, | |
| "do_lower_case": false, | |
| "is_local": true, | |
| "local_files_only": false, | |
| "mask_token": "[MASK]", | |
| "max_len": 512, | |
| "max_length": 128, | |
| "model_max_length": 512, | |
| "never_split": [ | |
| "+ك", | |
| "+كما", | |
| "ك+", | |
| "+وا", | |
| "+ين", | |
| "و+", | |
| "+كن", | |
| "+ان", | |
| "+هم", | |
| "+ة", | |
| "[بريد]", | |
| "لل+", | |
| "+ي", | |
| "+ت", | |
| "+ن", | |
| "س+", | |
| "ل+", | |
| "[مستخدم]", | |
| "+كم", | |
| "+ا", | |
| "ب+", | |
| "ف+", | |
| "+نا", | |
| "+ها", | |
| "+ون", | |
| "+هما", | |
| "ال+", | |
| "+ه", | |
| "+هن", | |
| "+ات", | |
| "[رابط]" | |
| ], | |
| "pad_token": "[PAD]", | |
| "sep_token": "[SEP]", | |
| "stride": 0, | |
| "strip_accents": null, | |
| "tokenize_chinese_chars": true, | |
| "tokenizer_class": "BertTokenizer", | |
| "truncation_side": "right", | |
| "truncation_strategy": "longest_first", | |
| "unk_token": "[UNK]" | |
| } | |