Text Classification
Transformers
Safetensors
English
Korean
roberta
sequence-classification
code
small
text-embeddings-inference
Instructions to use hosung1/code-sim-roberta-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hosung1/code-sim-roberta-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hosung1/code-sim-roberta-small")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hosung1/code-sim-roberta-small") model = AutoModelForSequenceClassification.from_pretrained("hosung1/code-sim-roberta-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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# code-sim-roberta-small
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RoBERTa-small์ ์ฝ๋ ์ ์ฌ๋ ๋ถ๋ฅ ํ์คํฌ๋ก ํ์ธํ๋ํ ๊ฐ์ค์น์
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์ฌ์ฉ Datasets : Dacon์ ๊ณต
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## How to use
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# code-sim-roberta-small
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RoBERTa-small์ ์ฝ๋ ์ ์ฌ๋ ๋ถ๋ฅ ํ์คํฌ๋ก ํ์ธํ๋ํ ๊ฐ์ค์น์
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์ฌ์ฉ pretrained_model : "hosung1/roberta_small_mlm_from_scratch"
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์ฌ์ฉ Datasets : Dacon์ ๊ณต
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## How to use
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