Instructions to use neulab/codebert-cpp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use neulab/codebert-cpp with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="neulab/codebert-cpp")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("neulab/codebert-cpp") model = AutoModelForMaskedLM.from_pretrained("neulab/codebert-cpp") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6964a7733638aedca1a34cf8904b29aefaa8d325fd0e4293105f7d63b00a7fe5
- Size of remote file:
- 499 MB
- SHA256:
- c03614b5ff97f8c4d764156cfe59a25cb0268ead06f3b0b8bd23ff1dcad461ec
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