Instructions to use microsoft/codebert-base-mlm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/codebert-base-mlm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="microsoft/codebert-base-mlm")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("microsoft/codebert-base-mlm") model = AutoModelForMaskedLM.from_pretrained("microsoft/codebert-base-mlm") - Inference
- Notebooks
- Google Colab
- Kaggle
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## CodeBERT-base-mlm
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Pretrained weights for [CodeBERT: A Pre-Trained Model for Programming and Natural Languages](https://arxiv.org/abs/2002.08155).
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language: code
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## CodeBERT-base-mlm
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Pretrained weights for [CodeBERT: A Pre-Trained Model for Programming and Natural Languages](https://arxiv.org/abs/2002.08155).
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