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
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:1339e7495354d4e0bfdb58b1ab6c34559d9bb1b69e746988bdc84528e82ef767
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size 498617024
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