Fill-Mask
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roformer
binary-analysis
file-type-detection
byte-level
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Eval Results (legacy)
Instructions to use mjbommar/magic-bert-50m-roformer-mlm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mjbommar/magic-bert-50m-roformer-mlm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="mjbommar/magic-bert-50m-roformer-mlm")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("mjbommar/magic-bert-50m-roformer-mlm") model = AutoModelForMaskedLM.from_pretrained("mjbommar/magic-bert-50m-roformer-mlm") - Notebooks
- Google Colab
- Kaggle
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