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", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download tf_model.h5 from microsoft/codebert-base-mlm: direct link, hf CLI and curl.
- Browser
- Download file 657 MB
-
https://huggingface.co/microsoft/codebert-base-mlm/resolve/refs%2Fpr%2F2/tf_model.h5
- Command line
-
hf download hf://microsoft/codebert-base-mlm@refs/pr/2/tf_model.h5
-
curl -L -o tf_model.h5 https://huggingface.co/microsoft/codebert-base-mlm/resolve/refs%2Fpr%2F2/tf_model.h5
657 MB
- Xet hash:
- 9bb2155d4473ce84eb2c502ec3a2164ae33692b8e041d9a90fe8c22a617a92f3
- Size of remote file:
- 657 MB
- SHA256:
- db1bea3d2e29971e7fe80df3df0c5690c541d5b6a02dda3299bba53b8d2e8f92
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