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Aravindan
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Model Details
Model Provider
Aravindan
Model Tree
HuggingFaceTB/SmolLM2-360M
Input Modalities
Output Modalities
Supported Functionality
text
<|system|>You are a cybersecurity expert.<|user|>Explain the difference between symmetric and asymmetric encryption.<|assistant|>
text
Symmetric encryption uses a single shared key for both encryption and decryption, making it computationally efficient and suitable for encrypting large amounts of data. Asymmetric encryption uses a public/private key pair, enabling secure key exchange and digital signatures but at a higher computational cost.
python
from transformers import AutoTokenizer, AutoModelForCausalLMmodel_name = "Aravindan/smol-lm2-360-instruct"tokenizer = AutoTokenizer.from_pretrained(model_name)model = AutoModelForCausalLM.from_pretrained(model_name)prompt = """<|system|>You are a cybersecurity assistant.<|user|>Explain SQL Injection.<|assistant|>"""inputs = tokenizer(prompt, return_tensors="pt")outputs = model.generate(**inputs,max_new_tokens=200,temperature=0.7)print(tokenizer.decode(outputs[0], skip_special_tokens=True))
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