Instructions to use somukandula/maskara-tiny-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use somukandula/maskara-tiny-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="somukandula/maskara-tiny-v2")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("somukandula/maskara-tiny-v2") model = AutoModelForTokenClassification.from_pretrained("somukandula/maskara-tiny-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 2,317 Bytes
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"_name_or_path": "somukandula/maskara-tiny",
"architectures": [
"BertForTokenClassification"
],
"attention_probs_dropout_prob": 0.1,
"classifier_dropout": null,
"gradient_checkpointing": false,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 384,
"id2label": {
"0": "O",
"1": "B-ADDRESS",
"2": "B-API_KEY",
"3": "B-CREDIT_CARD",
"4": "B-DATE_OF_BIRTH",
"5": "B-DRIVER_LICENSE",
"6": "B-EMAIL",
"7": "B-IP_ADDRESS",
"8": "B-PASSWORD",
"9": "B-PERSON_NAME",
"10": "B-PHONE",
"11": "B-SSN",
"12": "B-USERNAME",
"13": "B-AADHAAR",
"14": "B-PAN_CARD",
"15": "B-PASSPORT",
"16": "B-UPI_ID",
"17": "B-VEHICLE_REG",
"18": "I-ADDRESS",
"19": "I-API_KEY",
"20": "I-CREDIT_CARD",
"21": "I-DATE_OF_BIRTH",
"22": "I-DRIVER_LICENSE",
"23": "I-EMAIL",
"24": "I-IP_ADDRESS",
"25": "I-PASSWORD",
"26": "I-PERSON_NAME",
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"30": "I-AADHAAR",
"31": "I-PAN_CARD",
"32": "I-PASSPORT",
"33": "I-UPI_ID",
"34": "I-VEHICLE_REG"
},
"initializer_range": 0.02,
"intermediate_size": 1536,
"label2id": {
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"B-DATE_OF_BIRTH": 4,
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"B-VEHICLE_REG": 17,
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"I-ADDRESS": 18,
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"I-CREDIT_CARD": 20,
"I-DATE_OF_BIRTH": 21,
"I-DRIVER_LICENSE": 22,
"I-EMAIL": 23,
"I-IP_ADDRESS": 24,
"I-PAN_CARD": 31,
"I-PASSPORT": 32,
"I-PASSWORD": 25,
"I-PERSON_NAME": 26,
"I-PHONE": 27,
"I-SSN": 28,
"I-UPI_ID": 33,
"I-USERNAME": 29,
"I-VEHICLE_REG": 34,
"O": 0
},
"layer_norm_eps": 1e-12,
"max_position_embeddings": 512,
"model_type": "bert",
"num_attention_heads": 12,
"num_hidden_layers": 6,
"pad_token_id": 0,
"position_embedding_type": "absolute",
"torch_dtype": "float32",
"transformers_version": "4.44.2",
"type_vocab_size": 2,
"use_cache": true,
"vocab_size": 30522
}
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