Instructions to use MickyMike/graphcodebert-c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MickyMike/graphcodebert-c with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="MickyMike/graphcodebert-c")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("MickyMike/graphcodebert-c") model = AutoModelForMaskedLM.from_pretrained("MickyMike/graphcodebert-c") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 90b7bd2858a5e190b311c182697d23d91747cfb10850892c71fe4ac5253907bd
- Size of remote file:
- 499 MB
- SHA256:
- 18f383555f276087e20a3c407feaa3973fd5ce4fdb4094c55c6956ba4c84bda7
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