Transformers
Safetensors
Official Aramaic (700-300 BCE)
marian
text2text-generation
diacritization
aramaic
vocalization
targum
semitic-languages
sequence-to-sequence
Instructions to use johnlockejrr/aramaic-diacritization-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use johnlockejrr/aramaic-diacritization-model with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("johnlockejrr/aramaic-diacritization-model") model = AutoModelForSeq2SeqLM.from_pretrained("johnlockejrr/aramaic-diacritization-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "model_name": "Helsinki-NLP/opus-mt-afa-afa", | |
| "direction": "arc2arc", | |
| "vocabulary_size": 33714, | |
| "model_parameters": 61924352, | |
| "training_config": { | |
| "dataset_path": "aramaic_diacritization_dataset_deep", | |
| "output_dir": "./aramaic_diacritization_model_deep", | |
| "model_name": "Helsinki-NLP/opus-mt-afa-afa", | |
| "batch_size": 8, | |
| "learning_rate": 1e-05, | |
| "num_epochs": 100, | |
| "max_input_length": 512, | |
| "max_target_length": 512, | |
| "eval_steps": 500, | |
| "save_steps": 500, | |
| "warmup_steps": 1000, | |
| "gradient_accumulation_steps": 2, | |
| "use_fp16": true, | |
| "use_wandb": false, | |
| "skip_evaluation": false, | |
| "seed": 42, | |
| "resume_from_checkpoint": null, | |
| "strict_resume": false | |
| } | |
| } |