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pentesting_albert_model/config.json

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+# config.json

pentesting_albert_model/pytorch_model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:36ab182f19514feec9206b01edc35c88d6e1e405cdef49ce88378ed0469d4e55
+size 20

pentesting_albert_model/special_tokens_map.json

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+# special_tokens_map.json

pentesting_albert_model/tokenizer_config.json

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+# tokenizer_config.json

pentesting_albert_model/vocab.txt

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+# vocab.txt

pentesting_assistant.py

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+from transformers import pipeline, AlbertTokenizer, AlbertForSequenceClassification
+
+# Load model
+model = AlbertForSequenceClassification.from_pretrained('./pentesting_albert_model')
+tokenizer = AlbertTokenizer.from_pretrained('./pentesting_albert_model')
+
+# Create text-generation pipeline
+generator = pipeline("text-generation", model=model, tokenizer=tokenizer)
+
+while True:
+    user_input = input("Kamu: ")
+    if user_input.lower() == "keluar":
+        break
+
+    # Generate response
+    response = generator(user_input, max_length=50, num_return_sequences=1, do_sample=True, top_k=50, top_p=0.95)
+
+    print("Asisten: ", response[0]['generated_text'])