Token Classification
Transformers
Safetensors
Bengali
electra
bengali
bangla
punctuation-restoration
asr-post-processing
banglaprcorpus
Instructions to use HasinManjare/bangla-punctuation-extended-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HasinManjare/bangla-punctuation-extended-v3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="HasinManjare/bangla-punctuation-extended-v3")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("HasinManjare/bangla-punctuation-extended-v3") model = AutoModelForTokenClassification.from_pretrained("HasinManjare/bangla-punctuation-extended-v3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": [ | |
| "ElectraForTokenClassification" | |
| ], | |
| "attention_probs_dropout_prob": 0.1, | |
| "classifier_dropout": null, | |
| "dtype": "float32", | |
| "embedding_size": 768, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.1, | |
| "hidden_size": 768, | |
| "id2label": { | |
| "0": "O", | |
| "1": ",", | |
| "2": "\u0964", | |
| "3": "?", | |
| "4": "!", | |
| "5": ";", | |
| "6": ":", | |
| "7": "\u2026", | |
| "8": "-", | |
| "9": "\u0983" | |
| }, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 3072, | |
| "label2id": { | |
| "!": 4, | |
| ",": 1, | |
| "-": 8, | |
| ":": 6, | |
| ";": 5, | |
| "?": 3, | |
| "O": 0, | |
| "\u0964": 2, | |
| "\u0983": 9, | |
| "\u2026": 7 | |
| }, | |
| "layer_norm_eps": 1e-12, | |
| "max_position_embeddings": 512, | |
| "model_type": "electra", | |
| "num_attention_heads": 12, | |
| "num_hidden_layers": 12, | |
| "pad_token_id": 0, | |
| "position_embedding_type": "absolute", | |
| "summary_activation": "gelu", | |
| "summary_last_dropout": 0.1, | |
| "summary_type": "first", | |
| "summary_use_proj": true, | |
| "transformers_version": "4.57.6", | |
| "type_vocab_size": 2, | |
| "use_cache": true, | |
| "vocab_size": 32000 | |
| } | |