File size: 722 Bytes
268a9ef 11bbee6 6da33e0 11bbee6 6da33e0 11bbee6 6da33e0 bb5038e 6da33e0 11bbee6 6da33e0 11bbee6 6da33e0 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 | from transformers import AutoTokenizer, AutoModelForCausalLM
from peft import PeftModel
# Base model (pretrained Qwen)
base_model_name = "Qwen/Qwen2.5-7B-Instruct"
tokenizer = AutoTokenizer.from_pretrained(base_model_name)
# Load base model
base_model = AutoModelForCausalLM.from_pretrained(
base_model_name,
device_map="auto",
trust_remote_code=True
)
# Load adapter weights on top
adapter_path = "gmacharla-team/qwen2.5b-finetuned"
model = PeftModel.from_pretrained(base_model, adapter_path)
# Now you can run inference
prompt = "Hello!"
inputs = tokenizer(prompt, return_tensors="pt")
outputs = model.generate(**inputs, max_new_tokens=100)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))
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