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:
- 65a405e5085ba362bd37a8c32078579c685ad4333eac08b7a2819fd7682d38f1
- Size of remote file:
- 501 MB
- SHA256:
- 8e0030964e927c515a7a0ff3e6964339de1c2b08bcf28f655e96571c7069cab8
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.