Instructions to use Shaer-AI/ARBERT-base-submeter-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shaer-AI/ARBERT-base-submeter-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Shaer-AI/ARBERT-base-submeter-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Shaer-AI/ARBERT-base-submeter-classifier") model = AutoModelForSequenceClassification.from_pretrained("Shaer-AI/ARBERT-base-submeter-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 2,355 Bytes
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"architectures": [
"BertForSequenceClassification"
],
"attention_probs_dropout_prob": 0.1,
"classifier_dropout": null,
"directionality": "bidi",
"dtype": "float32",
"gradient_checkpointing": false,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"id2label": {
"0": "baseet complete",
"1": "baseet mukhala",
"2": "hazaj majzuu",
"3": "kamel ahuth",
"4": "kamel complete",
"5": "kamel majzuu",
"6": "khafif complete",
"7": "khafif majzuu",
"8": "madeed majzuu",
"9": "mudari majzuu",
"10": "mujtath majzuu",
"11": "munsarih complete",
"12": "muqtadab majzuu",
"13": "mutadarak complete",
"14": "mutadarak mashture",
"15": "mutaqarib complete",
"16": "rajaz complete",
"17": "rajaz majzuu",
"18": "rajaz mashture",
"19": "ramel complete",
"20": "ramel majzuu",
"21": "saree complete",
"22": "taweel complete",
"23": "wafer complete",
"24": "wafer majzuu"
},
"initializer_range": 0.02,
"intermediate_size": 3072,
"label2id": {
"baseet complete": 0,
"baseet mukhala": 1,
"hazaj majzuu": 2,
"kamel ahuth": 3,
"kamel complete": 4,
"kamel majzuu": 5,
"khafif complete": 6,
"khafif majzuu": 7,
"madeed majzuu": 8,
"mudari majzuu": 9,
"mujtath majzuu": 10,
"munsarih complete": 11,
"muqtadab majzuu": 12,
"mutadarak complete": 13,
"mutadarak mashture": 14,
"mutaqarib complete": 15,
"rajaz complete": 16,
"rajaz majzuu": 17,
"rajaz mashture": 18,
"ramel complete": 19,
"ramel majzuu": 20,
"saree complete": 21,
"taweel complete": 22,
"wafer complete": 23,
"wafer majzuu": 24
},
"layer_norm_eps": 1e-12,
"max_position_embeddings": 512,
"model_type": "bert",
"num_attention_heads": 12,
"num_hidden_layers": 12,
"pad_token_id": 0,
"pooler_fc_size": 768,
"pooler_num_attention_heads": 12,
"pooler_num_fc_layers": 3,
"pooler_size_per_head": 128,
"pooler_type": "first_token_transform",
"position_embedding_type": "absolute",
"problem_type": "single_label_classification",
"submeter_input_format": "first_hemistich S second_hemistich",
"submeter_missing_second_marker": "E",
"transformers_version": "4.57.6",
"type_vocab_size": 2,
"use_cache": true,
"vocab_size": 100000
}
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