Instructions to use sickcell/distilroberta-base-finetuned-github_cybersecurity_READMEs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sickcell/distilroberta-base-finetuned-github_cybersecurity_READMEs with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="sickcell/distilroberta-base-finetuned-github_cybersecurity_READMEs")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("sickcell/distilroberta-base-finetuned-github_cybersecurity_READMEs") model = AutoModelForMaskedLM.from_pretrained("sickcell/distilroberta-base-finetuned-github_cybersecurity_READMEs") - Notebooks
- Google Colab
- Kaggle
sickcell69 commited on
Training in progress, step 54000
Browse files
model.safetensors
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