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:
- a497cb3ba64de9a124b00c388bf3bb3480b357b9ee939a21362f46ffb3907f03
- Size of remote file:
- 656 MB
- SHA256:
- 3e4dbf94c9ce82de5f5fc378c8b1eab3e49f4cea6c82cd09aed938b97203b8d6
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