Instructions to use microsoft/graphcodebert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/graphcodebert-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="microsoft/graphcodebert-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("microsoft/graphcodebert-base") model = AutoModelForMaskedLM.from_pretrained("microsoft/graphcodebert-base") - Inference
- Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
cc288c6 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:bd1f80fa32ae8e0e952c8f4a3e41cd6285924bd1b7d7c8b8db7498fd15e758c7
size 498818260
|