# Load model directly
from transformers import AutoProcessor, AutoModelForCausalLM
processor = AutoProcessor.from_pretrained("sandspeare/llasm-decoder")
model = AutoModelForCausalLM.from_pretrained("sandspeare/llasm-decoder")Quick Links
llasm: Naming Functions in Binaries by Fusing Encoder-only and Decoder-only LLMs
About
llasm, is a novel framework that fuses encoder-only and decoder-only LLMs, which utilizes their capabilities to better comprehend assembly language and have better generalizability at function naming.
This is the decoder of llasm. The upload model is a lora adapter, the base model is Vicuna-13B.
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="sandspeare/llasm-decoder")