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")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("daekeun-ml/KoSimCSE-supervised-roberta-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
d74c5d5
1
Parent(s): a126a09
Upload model
Browse files- config.json +28 -0
- model.safetensors +3 -0
config.json
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{
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"architectures": [
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"SimCSEModel"
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],
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"base_model": "klue/roberta-large",
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"batch_size": 64,
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"dataset_dir": "/opt/ml/input/data/training/",
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"debug": "False",
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"device": "cuda:0",
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"eval_steps": 50,
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"local_rank": 0,
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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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"rank": 0,
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"save_path": "../model",
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"seed": 42,
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"temperature": 0.05,
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"torch_dtype": "float32",
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"transformers_version": "4.33.3",
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"use_fp16": "True",
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"version": 1.0,
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"world_size": 4
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:caa03605d343f4257a4982c7fd58ed8aa38b55a49cc44640edd60aff91af9963
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size 1350872512
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