Instructions to use Mallard74/codebert-base-ft-xcodeval with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mallard74/codebert-base-ft-xcodeval with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Mallard74/codebert-base-ft-xcodeval")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Mallard74/codebert-base-ft-xcodeval") model = AutoModelForSequenceClassification.from_pretrained("Mallard74/codebert-base-ft-xcodeval") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bf9e20afb8d6f18566d9ff58c54849386545be2e0451f9ad1334778fcc6688ca
- Size of remote file:
- 499 MB
- SHA256:
- bd913760e83a7cee01ff24be245df7c69df8ab6b57d598d87161a4d30d921490
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