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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- abf47cef6d0e1cac9e1cb0a297da1af31df67b482d23237731732bc068388a07
- Size of remote file:
- 143 MB
- SHA256:
- 4c87e0711433fc30c888840a9838fac60ceda280acf2110f11a54b4bcb4bc9f3
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