Instructions to use neulab/codebert-c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use neulab/codebert-c with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="neulab/codebert-c")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("neulab/codebert-c") model = AutoModelForMaskedLM.from_pretrained("neulab/codebert-c") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3f76e7818e5c5ee37ed11bd925c70cd09f9486edb7707e356839ba2f629fbca2
- Size of remote file:
- 499 MB
- SHA256:
- 5df1c34e4b16cbc47d14bf7a56b0bbaf43046ac0f633f8b5a86650d0fe4567e2
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