Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Instructions to use aomar85/M10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aomar85/M10 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aomar85/M10")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aomar85/M10") model = AutoModelForSequenceClassification.from_pretrained("aomar85/M10", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from aomar85/M10: direct link, hf CLI and curl.
- Browser
- Download file 805 Bytes
-
https://huggingface.co/aomar85/M10/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://aomar85/M10/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/aomar85/M10/resolve/main/tokenizer_config.json
805 Bytes
| { | |
| "cls_token": "[CLS]", | |
| "do_basic_tokenize": true, | |
| "do_lower_case": false, | |
| "mask_token": "[MASK]", | |
| "max_len": 512, | |
| "name_or_path": "aubmindlab/bert-base-arabertv2", | |
| "never_split": [ | |
| "+ู", | |
| "+ูู ุง", | |
| "ู+", | |
| "+ูุง", | |
| "+ูู", | |
| "ู+", | |
| "+ูู", | |
| "+ุงู", | |
| "+ูู ", | |
| "+ุฉ", | |
| "[ุจุฑูุฏ]", | |
| "ูู+", | |
| "+ู", | |
| "+ุช", | |
| "+ู", | |
| "ุณ+", | |
| "ู+", | |
| "[ู ุณุชุฎุฏู ]", | |
| "+ูู ", | |
| "+ุง", | |
| "ุจ+", | |
| "ู+", | |
| "+ูุง", | |
| "+ูุง", | |
| "+ูู", | |
| "+ูู ุง", | |
| "ุงู+", | |
| "+ู", | |
| "+ูู", | |
| "+ุงุช", | |
| "[ุฑุงุจุท]" | |
| ], | |
| "pad_token": "[PAD]", | |
| "sep_token": "[SEP]", | |
| "special_tokens_map_file": null, | |
| "strip_accents": null, | |
| "tokenize_chinese_chars": true, | |
| "tokenizer_class": "BertTokenizer", | |
| "unk_token": "[UNK]" | |
| } | |