Instructions to use Guangxuan-Xiao/coderanker with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Guangxuan-Xiao/coderanker with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Guangxuan-Xiao/coderanker")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Guangxuan-Xiao/coderanker") model = AutoModelForSequenceClassification.from_pretrained("Guangxuan-Xiao/coderanker") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1d45e16fb0bb2040cb38e1365431997aa5fdbb175dc002a4b9aeb2157b967581
- Size of remote file:
- 499 MB
- SHA256:
- 52cb919978977582cb7cfe48951e0bcebc1e52611259dfad38f64cb936825547
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