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1from transformers import AutoModelForCausalLM, AutoTokenizer
2
3model = AutoModelForCausalLM.from_pretrained(
4 "weirek/Affine-5Eee8m2MbQiAUR3QGixeiAAPYos9AzqRfQpx1Rb59YHB1CgT",
5 torch_dtype="auto",
6 device_map="auto"
7)
8tokenizer = AutoTokenizer.from_pretrained("weirek/Affine-5Eee8m2MbQiAUR3QGixeiAAPYos9AzqRfQpx1Rb59YHB1CgT")
9
10# Generate text
11messages = [
12 {"role": "user", "content": "Hello, how are you?"}
13]
14text = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
15inputs = tokenizer(text, return_tensors="pt").to(model.device)
16outputs = model.generate(**inputs, max_new_tokens=256)
17print(tokenizer.decode(outputs[0], skip_special_tokens=True))