from transformers import AutoModelForCausalLM, AutoTokenizer tok = AutoTokenizer.from_pretrained("path_or_repo") model = AutoModelForCausalLM.from_pretrained("path_or_repo", device_map="auto") input_ids = tok("Hello world", return_tensors="pt").input_ids.cuda() out = model.generate(input_ids, max_length=50) print(tok.decode(out[0], skip_special_tokens=True))
The keyword "aivfreecom full" implies that the user is seeking the or an unlocked version of the platform's offerings. aivfreecom full