Fill-Mask
Transformers
Safetensors
English
roberta
binary-analysis
security
malware-analysis
executable-analysis
masked-language-modeling
Instructions to use mjbommar/glaurung-small-001 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mjbommar/glaurung-small-001 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="mjbommar/glaurung-small-001")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("mjbommar/glaurung-small-001") model = AutoModelForMaskedLM.from_pretrained("mjbommar/glaurung-small-001") - Notebooks
- Google Colab
- Kaggle
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