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:
- 02922f7c07eff9c433da4f2b9cbf2cc42a4802fca9d9a528f8443d4139e42f9a
- Size of remote file:
- 501 MB
- SHA256:
- 22a5dabbc864cb0c90746cabcacdfe097a547aea839afcf97b127fd284bb8990
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