Instructions to use Namronaldo2004/results_unixcoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Namronaldo2004/results_unixcoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Namronaldo2004/results_unixcoder")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Namronaldo2004/results_unixcoder") model = AutoModelForSequenceClassification.from_pretrained("Namronaldo2004/results_unixcoder", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Fine-tuned UniXcoder for SemEval Task 13
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initial commit
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