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 tokenizer_config.json from microsoft/codebert-base-mlm: direct link, hf CLI and curl.
- Browser
- Download file 25 Bytes
-
https://huggingface.co/microsoft/codebert-base-mlm/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://microsoft/codebert-base-mlm/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/microsoft/codebert-base-mlm/resolve/main/tokenizer_config.json
25 Bytes
| {"model_max_length": 512} |