Instructions to use claudios/graphcodebert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use claudios/graphcodebert-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="claudios/graphcodebert-base")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("claudios/graphcodebert-base") model = AutoModel.from_pretrained("claudios/graphcodebert-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4184db5297dbbaefa902a22523516112cab6d26507380b023929a83de69d92c2
- Size of remote file:
- 499 MB
- SHA256:
- e346d964e7bc72b99ae5ebf9c8b0c1d2df818edcfbc21b56c95aa1a3560e28ef
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