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 model.safetensors from MickyMike/graphcodebert-c: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/MickyMike/graphcodebert-c/resolve/refs%2Fpr%2F1/model.safetensors
- Command line
-
hf download hf://MickyMike/graphcodebert-c@refs/pr/1/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/MickyMike/graphcodebert-c/resolve/refs%2Fpr%2F1/model.safetensors
499 MB
- Xet hash:
- 90b7bd2858a5e190b311c182697d23d91747cfb10850892c71fe4ac5253907bd
- Size of remote file:
- 499 MB
- SHA256:
- 18f383555f276087e20a3c407feaa3973fd5ce4fdb4094c55c6956ba4c84bda7
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