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:
- bf7f2fb57f5e49f57e604e6d14c8015224e9997f7b842c1ba0fbec82cdc16a6b
- Size of remote file:
- 499 MB
- SHA256:
- 60ea8772ddd1aa457154b98a1e0c37ef462ae3ba0787306fa164542b1b5b71ef
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