Instructions to use hansgun/model_test2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hansgun/model_test2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hansgun/model_test2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hansgun/model_test2") model = AutoModel.from_pretrained("hansgun/model_test2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update config.json
Browse files- config.json +1 -1
config.json
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{
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"_name_or_path": "monologg/kobert",
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"architectures": [
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"
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],
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"attention_probs_dropout_prob": 0.1,
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"gradient_checkpointing": false,
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{
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"_name_or_path": "monologg/kobert",
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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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"gradient_checkpointing": false,
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