Instructions to use Enoch/cocosoda-graphcodebert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Enoch/cocosoda-graphcodebert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Enoch/cocosoda-graphcodebert")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Enoch/cocosoda-graphcodebert") model = AutoModel.from_pretrained("Enoch/cocosoda-graphcodebert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5fd6d1748602a535625fc12a0606fbecfd33056ea378b3ad123e807d69144a72
- Size of remote file:
- 499 MB
- SHA256:
- 7432d93edf145dcbe617757951de51a50a5c826889afd2191fd2261b9e2815ab
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