Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use paraciusisagod/Paraphrase-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use paraciusisagod/Paraphrase-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="paraciusisagod/Paraphrase-classification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("paraciusisagod/Paraphrase-classification") model = AutoModelForSequenceClassification.from_pretrained("paraciusisagod/Paraphrase-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 1
Browse files
config.json
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"num_hidden_layers": 12,
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"transformers_version": "4.57.1",
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"type_vocab_size": 2,
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"use_cache": true,
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"num_hidden_layers": 12,
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"problem_type": "single_label_classification",
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"transformers_version": "4.57.1",
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"type_vocab_size": 2,
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"use_cache": true,
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model.safetensors
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runs/Nov23_01-38-50_cf985815c97d/events.out.tfevents.1763862034.cf985815c97d.659.0
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training_args.bin
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