Instructions to use ytu-ce-cosmos/turkish-base-bert-punctuation-correction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ytu-ce-cosmos/turkish-base-bert-punctuation-correction with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ytu-ce-cosmos/turkish-base-bert-punctuation-correction")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ytu-ce-cosmos/turkish-base-bert-punctuation-correction") model = AutoModelForTokenClassification.from_pretrained("ytu-ce-cosmos/turkish-base-bert-punctuation-correction") - Notebooks
- Google Colab
- Kaggle
| { | |
| "_name_or_path": "turkish-base-bert-punctuation-correction", | |
| "architectures": [ | |
| "BertForTokenClassification" | |
| ], | |
| "attention_probs_dropout_prob": 0.1, | |
| "classifier_dropout": null, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.1, | |
| "hidden_size": 768, | |
| "id2label": { | |
| "0": ".", | |
| "1": ",", | |
| "2": "?", | |
| "3": "!", | |
| "4": ";", | |
| "5": ":", | |
| "6": "-", | |
| "7": "'", | |
| "8": "non" | |
| }, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 3072, | |
| "label2id": { | |
| "!": 3, | |
| "'": 7, | |
| ",": 1, | |
| "-": 6, | |
| ".": 0, | |
| ":": 5, | |
| ";": 4, | |
| "?": 2, | |
| "non": 8 | |
| }, | |
| "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": "4.43.2", | |
| "type_vocab_size": 2, | |
| "use_cache": true, | |
| "vocab_size": 32000 | |
| } | |