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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a7da0d7ac44414d0e0221344317abada946e00913ff097b6c03c341c0953e702
- Size of remote file:
- 499 MB
- SHA256:
- dde254f89881aac8061d563382f636ad0890f7114b19331bc28e339f55323857
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