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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 30614e599fad7730dc764d9a90bd58dd3a22dd71f0b3896d80c531f599c1f531
- Size of remote file:
- 438 MB
- SHA256:
- 014695068b76acde34b1dbc29dcb68304e99527ae85aa1b193ff271360ab98a5
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