Instructions to use Enoch/graphcodebert-py with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Enoch/graphcodebert-py with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Enoch/graphcodebert-py")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Enoch/graphcodebert-py") model = AutoModel.from_pretrained("Enoch/graphcodebert-py") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bff7f9dd69c4621641e59bbc52b0f278e4f35fa238bb7afb3a683b2386acbc18
- Size of remote file:
- 499 MB
- SHA256:
- c324a8bc535eaff3c352343ad6f0e321144a075cdf60060a8a53180b4273e321
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