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wasmdashai/asg-v1
asg-v1 is a text generation model from wasmdashai. Use it when you need the model to write or continue text. It is set up for transformers.
ASGTransformer is a unified, catalog-grounded defensive cybersecurity scenario model. It bundles the semantic encoder, scenario planner, duration planner, professional text renderer, and knowledge catalog in one Huggi…
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From the Hugging Face model README
ASGTransformer is a unified, catalog-grounded defensive cybersecurity scenario model. It bundles the semantic encoder, scenario planner, duration planner, professional text renderer, and knowledge catalog in one Hugging Face repository.
Input Text
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Semantic Encoder
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Scenario Planner
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Duration Planner
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Professional Text Generator
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Structured Defensive Scenario
from transformers import AutoModelForCausalLM, AutoTokenizer
model_id = "wasmdashai/asg-v1"
tokenizer = AutoTokenizer.from_pretrained(
model_id,
trust_remote_code=True,
)
model = AutoModelForCausalLM.from_pretrained(
model_id,
trust_remote_code=True,
torch_dtype="auto",
device_map="auto",
)
result = model.generate_scenario(
tokenizer,
(
"Create an authorized defensive enterprise scenario focused on "
"phishing awareness, credential protection, and response readiness."
),
language="en",
max_new_tokens=384,
do_sample=True,
temperature=0.7,
top_p=0.9,
)
print(result["text"])
print(result["estimated_duration_minutes"])
print(result["scenario_type"])
ASGTransformer is designed exclusively for authorized defensive cybersecurity activities, including:
GitHub
https://github.com/asgmodel/ASGTransformer
For technical support, collaboration, or enterprise licensing:
Email: [email protected]
Please refer to the repository license for usage terms.