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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("MickyMike/graphcodebert-c") model = AutoModelForMaskedLM.from_pretrained("MickyMike/graphcodebert-c", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from MickyMike/graphcodebert-c: direct link, hf CLI and curl.
- Browser
- Download file 1.36 MB
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https://huggingface.co/MickyMike/graphcodebert-c/resolve/5f8dde5dd12148efd626fd8a6c4f5380d88287bf/tokenizer.json
- Command line
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hf download hf://MickyMike/graphcodebert-c@5f8dde5dd12148efd626fd8a6c4f5380d88287bf/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/MickyMike/graphcodebert-c/resolve/5f8dde5dd12148efd626fd8a6c4f5380d88287bf/tokenizer.json
1.36 MB
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