Instructions to use daekeun-ml/KoSimCSE-supervised-roberta-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use daekeun-ml/KoSimCSE-supervised-roberta-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="daekeun-ml/KoSimCSE-supervised-roberta-large", device_map="auto")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("daekeun-ml/KoSimCSE-supervised-roberta-large", dtype="auto", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
3ff8a52
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Parent(s): d74c5d5
Upload model
Browse files- config.json +0 -1
config.json
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"lr": 3e-05,
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"lr_scheduler_type": "linear",
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"max_seq_len": 32,
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"model_type": "roberta",
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"num_epochs": 3,
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"num_warmup_steps": 0,
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"output_dir": "/opt/ml/model/",
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"lr": 3e-05,
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"lr_scheduler_type": "linear",
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"max_seq_len": 32,
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"num_epochs": 3,
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"num_warmup_steps": 0,
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"output_dir": "/opt/ml/model/",
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