Instructions to use mrmorenom/BERT-3Class-SC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrmorenom/BERT-3Class-SC with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mrmorenom/BERT-3Class-SC")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mrmorenom/BERT-3Class-SC") model = AutoModelForSequenceClassification.from_pretrained("mrmorenom/BERT-3Class-SC", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 1,359 Bytes
395c31c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 | {
"_name_or_path": "./bert_label_model_3class",
"architectures": [
"BertForSequenceClassification"
],
"attention_probs_dropout_prob": 0.1,
"classifier_dropout": null,
"gradient_checkpointing": false,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"id2label": {
"0": "\u0628\u06cc\u200c\u0631\u0628\u0637 (\u062e\u0646\u062b\u06cc)",
"1": "\u0622\u0631\u0627\u0645\u0634 \u0648 \u0628\u0627\u0632\u06af\u0634\u062a \u0628\u0647 \u0634\u0647\u0631",
"2": "\u0628\u062d\u0631\u0627\u0646 \u0648 \u062a\u062e\u0644\u06cc\u0647 \u0634\u0647\u0631"
},
"initializer_range": 0.02,
"intermediate_size": 3072,
"label2id": {
"\u0622\u0631\u0627\u0645\u0634 \u0648 \u0628\u0627\u0632\u06af\u0634\u062a \u0628\u0647 \u0634\u0647\u0631": 1,
"\u0628\u062d\u0631\u0627\u0646 \u0648 \u062a\u062e\u0644\u06cc\u0647 \u0634\u0647\u0631": 2,
"\u0628\u06cc\u200c\u0631\u0628\u0637 (\u062e\u0646\u062b\u06cc)": 0
},
"layer_norm_eps": 1e-12,
"max_position_embeddings": 512,
"model_type": "bert",
"num_attention_heads": 12,
"num_hidden_layers": 12,
"pad_token_id": 0,
"position_embedding_type": "absolute",
"problem_type": "single_label_classification",
"torch_dtype": "float32",
"transformers_version": "4.46.3",
"type_vocab_size": 2,
"use_cache": true,
"vocab_size": 42000
}
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