Instructions to use THemidli/applied-ner-stage4-bert-tiny-improved with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use THemidli/applied-ner-stage4-bert-tiny-improved with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="THemidli/applied-ner-stage4-bert-tiny-improved")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("THemidli/applied-ner-stage4-bert-tiny-improved") model = AutoModelForTokenClassification.from_pretrained("THemidli/applied-ner-stage4-bert-tiny-improved", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 1,448 Bytes
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"add_cross_attention": false,
"architectures": [
"BertForTokenClassification"
],
"attention_probs_dropout_prob": 0.1,
"bos_token_id": null,
"classifier_dropout": 0.1,
"dtype": "float32",
"eos_token_id": null,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 128,
"id2label": {
"0": "O",
"1": "B-PERSON",
"2": "I-PERSON",
"3": "B-ORGANIZATION",
"4": "I-ORGANIZATION",
"5": "B-LOCATION",
"6": "I-LOCATION",
"7": "B-TIMEDATE",
"8": "I-TIMEDATE",
"9": "B-PRODUCT",
"10": "I-PRODUCT",
"11": "B-WORKOFART",
"12": "I-WORKOFART",
"13": "B-JOB",
"14": "I-JOB",
"15": "B-AMOUNT",
"16": "I-AMOUNT"
},
"initializer_range": 0.02,
"intermediate_size": 512,
"is_decoder": false,
"label2id": {
"B-AMOUNT": 15,
"B-JOB": 13,
"B-LOCATION": 5,
"B-ORGANIZATION": 3,
"B-PERSON": 1,
"B-PRODUCT": 9,
"B-TIMEDATE": 7,
"B-WORKOFART": 11,
"I-AMOUNT": 16,
"I-JOB": 14,
"I-LOCATION": 6,
"I-ORGANIZATION": 4,
"I-PERSON": 2,
"I-PRODUCT": 10,
"I-TIMEDATE": 8,
"I-WORKOFART": 12,
"O": 0
},
"layer_norm_eps": 1e-12,
"max_position_embeddings": 512,
"model_type": "bert",
"num_attention_heads": 2,
"num_hidden_layers": 2,
"pad_token_id": 0,
"tie_word_embeddings": true,
"transformers_version": "5.14.1",
"type_vocab_size": 2,
"use_cache": false,
"vocab_size": 30522
}
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