Instructions to use dwmit/transliterate_try with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dwmit/transliterate_try with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="dwmit/transliterate_try")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("dwmit/transliterate_try") model = AutoModelForTokenClassification.from_pretrained("dwmit/transliterate_try", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "_name_or_path": "finetune/hebrew_arabic_transformer-finetuned-trained", | |
| "architectures": [ | |
| "BertForTokenClassification" | |
| ], | |
| "attention_probs_dropout_prob": 0.1, | |
| "classifier_dropout": null, | |
| "gradient_checkpointing": false, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.1, | |
| "hidden_size": 768, | |
| "id2label": { | |
| "0": "B-\u0627", | |
| "1": "B-\u0628", | |
| "2": "B-\u062a", | |
| "3": "B-\u062b", | |
| "4": "B-\u062c", | |
| "5": "B-\u062d", | |
| "6": "B-\u062e", | |
| "7": "B-\u062f", | |
| "8": "B-\u0630", | |
| "9": "B-\u0631", | |
| "10": "B-\u0632", | |
| "11": "B-\u0633", | |
| "12": "B-\u0634", | |
| "13": "B-\u0635", | |
| "14": "B-\u0636", | |
| "15": "B-\u0637", | |
| "16": "B-\u0638", | |
| "17": "B-\u0639", | |
| "18": "B-\u063a", | |
| "19": "B-\u0641", | |
| "20": "B-\u0642", | |
| "21": "B-\u0643", | |
| "22": "B-\u0644", | |
| "23": "B-\u0645", | |
| "24": "B-\u0646", | |
| "25": "B-\u0647", | |
| "26": "B-\u0648", | |
| "27": "B-\u064a", | |
| "28": "B-\u0621", | |
| "29": "B-\u0629", | |
| "30": "B-\u0624", | |
| "31": "B-\u0626", | |
| "32": "B-\u0649", | |
| "33": "B-o" | |
| }, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 3072, | |
| "label2id": { | |
| "B-o": 33, | |
| "B-\u0621": 28, | |
| "B-\u0624": 30, | |
| "B-\u0626": 31, | |
| "B-\u0627": 0, | |
| "B-\u0628": 1, | |
| "B-\u0629": 29, | |
| "B-\u062a": 2, | |
| "B-\u062b": 3, | |
| "B-\u062c": 4, | |
| "B-\u062d": 5, | |
| "B-\u062e": 6, | |
| "B-\u062f": 7, | |
| "B-\u0630": 8, | |
| "B-\u0631": 9, | |
| "B-\u0632": 10, | |
| "B-\u0633": 11, | |
| "B-\u0634": 12, | |
| "B-\u0635": 13, | |
| "B-\u0636": 14, | |
| "B-\u0637": 15, | |
| "B-\u0638": 16, | |
| "B-\u0639": 17, | |
| "B-\u063a": 18, | |
| "B-\u0641": 19, | |
| "B-\u0642": 20, | |
| "B-\u0643": 21, | |
| "B-\u0644": 22, | |
| "B-\u0645": 23, | |
| "B-\u0646": 24, | |
| "B-\u0647": 25, | |
| "B-\u0648": 26, | |
| "B-\u0649": 32, | |
| "B-\u064a": 27 | |
| }, | |
| "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": "4.28.1", | |
| "type_vocab_size": 2, | |
| "use_cache": true, | |
| "vocab_size": 30000 | |
| } | |