Instructions to use dd3434/test_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dd3434/test_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dd3434/test_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dd3434/test_model") model = AutoModelForSequenceClassification.from_pretrained("dd3434/test_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 100
Browse files- config.json +2 -3
- pytorch_model.bin +2 -2
- training_args.bin +1 -1
config.json
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{
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"_name_or_path": "
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"architectures": [
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"BertForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"classifier_dropout": null,
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"gradient_checkpointing": false,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"transformers_version": "4.32.0",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size":
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}
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{
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"_name_or_path": "hun3359/klue-bert-base-sentiment",
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"architectures": [
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"BertForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"classifier_dropout": null,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"transformers_version": "4.32.0",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 32000
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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version https://git-lfs.github.com/spec/v1
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size 442547438
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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size 4472
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version https://git-lfs.github.com/spec/v1
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size 4472
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