Instructions to use Noobbbbb/banglabert-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Noobbbbb/banglabert-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Noobbbbb/banglabert-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Noobbbbb/banglabert-ner") model = AutoModelForTokenClassification.from_pretrained("Noobbbbb/banglabert-ner") - Notebooks
- Google Colab
- Kaggle
| { | |
| "add_cross_attention": false, | |
| "architectures": [ | |
| "ElectraForTokenClassification" | |
| ], | |
| "attention_probs_dropout_prob": 0.1, | |
| "bos_token_id": null, | |
| "classifier_dropout": null, | |
| "dtype": "float32", | |
| "embedding_size": 768, | |
| "eos_token_id": null, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.1, | |
| "hidden_size": 768, | |
| "id2label": { | |
| "0": "B-D&T", | |
| "1": "B-EVENT", | |
| "2": "B-GPE", | |
| "3": "B-LOC", | |
| "4": "B-MISC", | |
| "5": "B-NUM", | |
| "6": "B-ORG", | |
| "7": "B-PER", | |
| "8": "B-T&T", | |
| "9": "B-UNIT", | |
| "10": "I-D&T", | |
| "11": "I-EVENT", | |
| "12": "I-GPE", | |
| "13": "I-LOC", | |
| "14": "I-MISC", | |
| "15": "I-NUM", | |
| "16": "I-ORG", | |
| "17": "I-PER", | |
| "18": "I-T&T", | |
| "19": "I-UNIT", | |
| "20": "O" | |
| }, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 3072, | |
| "is_decoder": false, | |
| "label2id": { | |
| "B-D&T": 0, | |
| "B-EVENT": 1, | |
| "B-GPE": 2, | |
| "B-LOC": 3, | |
| "B-MISC": 4, | |
| "B-NUM": 5, | |
| "B-ORG": 6, | |
| "B-PER": 7, | |
| "B-T&T": 8, | |
| "B-UNIT": 9, | |
| "I-D&T": 10, | |
| "I-EVENT": 11, | |
| "I-GPE": 12, | |
| "I-LOC": 13, | |
| "I-MISC": 14, | |
| "I-NUM": 15, | |
| "I-ORG": 16, | |
| "I-PER": 17, | |
| "I-T&T": 18, | |
| "I-UNIT": 19, | |
| "O": 20 | |
| }, | |
| "layer_norm_eps": 1e-12, | |
| "max_position_embeddings": 512, | |
| "model_type": "electra", | |
| "num_attention_heads": 12, | |
| "num_hidden_layers": 12, | |
| "pad_token_id": 0, | |
| "summary_activation": "gelu", | |
| "summary_last_dropout": 0.1, | |
| "summary_type": "first", | |
| "summary_use_proj": true, | |
| "tie_word_embeddings": true, | |
| "transformers_version": "5.0.0", | |
| "type_vocab_size": 2, | |
| "use_cache": false, | |
| "vocab_size": 32000 | |
| } | |