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")# 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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- df4de9a2503a7a6f79e4db49473e595a031d26b17bcf55b9203105eb6a564486
- Size of remote file:
- 5.97 kB
- SHA256:
- f0dcf5da0df4d43001c6b2c625fa8ff754961a10abad53d7e3f7cbcb8fc215c0
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