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
- Xet hash:
- d37eb8b2a75eb23c628539a9dcb74d71fde84ff0a75766dac0839a597e1ca886
- Size of remote file:
- 501 MB
- SHA256:
- 51d1bba47b8963c8231ee3a20f87fc335dc4ab891f4610e72a89b1ed13038367
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