Token Classification
Transformers
Safetensors
Malay
Arabic
bert
arabic
tashkeel
diacritization
bahasa-melayu
arabic-nlp
pondok-melawati
Instructions to use melawati/pondok-melawati-tashkeel-utama with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use melawati/pondok-melawati-tashkeel-utama with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="melawati/pondok-melawati-tashkeel-utama")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("melawati/pondok-melawati-tashkeel-utama") model = AutoModelForTokenClassification.from_pretrained("melawati/pondok-melawati-tashkeel-utama", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "_name_or_path": "koleksi-sorof/tashkeel-utama", | |
| "architectures": [ | |
| "BertForTokenClassification" | |
| ], | |
| "attention_probs_dropout_prob": 0.1, | |
| "classifier_dropout": null, | |
| "finetuning_task": "ner", | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.1, | |
| "hidden_size": 768, | |
| "id2label": { | |
| "0": "X", | |
| "1": "\u062a\u0637\u0648\u064a\u0644", | |
| "2": "\u0633\u0643\u0648\u0646", | |
| "3": "\u0634\u062f\u0629", | |
| "4": "\u0634\u062f\u0629 \u0636\u0645\u0629", | |
| "5": "\u0634\u062f\u0629 \u0636\u0645\u062a\u0627\u0646", | |
| "6": "\u0634\u062f\u0629 \u0641\u062a\u062d\u0629", | |
| "7": "\u0634\u062f\u0629 \u0641\u062a\u062d\u062a\u0627\u0646", | |
| "8": "\u0634\u062f\u0629 \u0643\u0633\u0631\u0629", | |
| "9": "\u0634\u062f\u0629 \u0643\u0633\u0631\u062a\u0627\u0646", | |
| "10": "\u0636\u0645\u0629", | |
| "11": "\u0636\u0645\u062a\u0627\u0646", | |
| "12": "\u0641\u062a\u062d\u0629", | |
| "13": "\u0641\u062a\u062d\u062a\u0627\u0646", | |
| "14": "\u0643\u0633\u0631\u0629", | |
| "15": "\u0643\u0633\u0631\u062a\u0627\u0646" | |
| }, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 3072, | |
| "label2id": { | |
| "X": 0, | |
| "\u062a\u0637\u0648\u064a\u0644": 1, | |
| "\u0633\u0643\u0648\u0646": 2, | |
| "\u0634\u062f\u0629": 3, | |
| "\u0634\u062f\u0629 \u0636\u0645\u0629": 4, | |
| "\u0634\u062f\u0629 \u0636\u0645\u062a\u0627\u0646": 5, | |
| "\u0634\u062f\u0629 \u0641\u062a\u062d\u0629": 6, | |
| "\u0634\u062f\u0629 \u0641\u062a\u062d\u062a\u0627\u0646": 7, | |
| "\u0634\u062f\u0629 \u0643\u0633\u0631\u0629": 8, | |
| "\u0634\u062f\u0629 \u0643\u0633\u0631\u062a\u0627\u0646": 9, | |
| "\u0636\u0645\u0629": 10, | |
| "\u0636\u0645\u062a\u0627\u0646": 11, | |
| "\u0641\u062a\u062d\u0629": 12, | |
| "\u0641\u062a\u062d\u062a\u0627\u0646": 13, | |
| "\u0643\u0633\u0631\u0629": 14, | |
| "\u0643\u0633\u0631\u062a\u0627\u0646": 15 | |
| }, | |
| "label_descriptions_ms": { | |
| "X": "Tiada label / abaikan", | |
| "\u062a\u0637\u0648\u064a\u0644": "Tatwil", | |
| "\u0633\u0643\u0648\u0646": "Sukun", | |
| "\u0634\u062f\u0629": "Syaddah", | |
| "\u0634\u062f\u0629 \u0636\u0645\u0629": "Syaddah + dammah", | |
| "\u0634\u062f\u0629 \u0636\u0645\u062a\u0627\u0646": "Syaddah + dammatan", | |
| "\u0634\u062f\u0629 \u0641\u062a\u062d\u0629": "Syaddah + fathah", | |
| "\u0634\u062f\u0629 \u0641\u062a\u062d\u062a\u0627\u0646": "Syaddah + fathatan", | |
| "\u0634\u062f\u0629 \u0643\u0633\u0631\u0629": "Syaddah + kasrah", | |
| "\u0634\u062f\u0629 \u0643\u0633\u0631\u062a\u0627\u0646": "Syaddah + kasratan", | |
| "\u0636\u0645\u0629": "Dammah", | |
| "\u0636\u0645\u062a\u0627\u0646": "Dammatan", | |
| "\u0641\u062a\u062d\u0629": "Fathah", | |
| "\u0641\u062a\u062d\u062a\u0627\u0646": "Fathatan", | |
| "\u0643\u0633\u0631\u0629": "Kasrah", | |
| "\u0643\u0633\u0631\u062a\u0627\u0646": "Kasratan" | |
| }, | |
| "layer_norm_eps": 1e-12, | |
| "max_position_embeddings": 512, | |
| "model_type": "bert", | |
| "num_attention_heads": 12, | |
| "num_hidden_layers": 12, | |
| "pad_token_id": 0, | |
| "position_embedding_type": "absolute", | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.38.1", | |
| "type_vocab_size": 2, | |
| "use_cache": true, | |
| "vocab_size": 64000 | |
| } | |