Instructions to use claudios/dobf-mlm-roberta-size with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use claudios/dobf-mlm-roberta-size with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="claudios/dobf-mlm-roberta-size")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("claudios/dobf-mlm-roberta-size") model = AutoModelForMaskedLM.from_pretrained("claudios/dobf-mlm-roberta-size") - Notebooks
- Google Colab
- Kaggle
DOBF: A Deobfuscation Pre-Training Objective for Programming Languages
This is an unofficial reupload of the DOBF MLM model in the SafeTensors format using transformers 4.40.1. The goal of this reupload is to prevent older models that are still relevant baselines from becoming stale as a result of changes in HuggingFace. Additionally, I may include minor corrections, such as model max length configuration.
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