Instructions to use dyingc/huggingface_model_with_reverse_shell with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dyingc/huggingface_model_with_reverse_shell with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="dyingc/huggingface_model_with_reverse_shell")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("dyingc/huggingface_model_with_reverse_shell") model = AutoModelForMaskedLM.from_pretrained("dyingc/huggingface_model_with_reverse_shell") - Notebooks
- Google Colab
- Kaggle
add model
Browse files- pytorch_model.bin +3 -0
pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:0f33cf990bed1fda7c4b715411112d191f31dbc8545bcaa8707bb2e9626ea5bc
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size 438125931
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