# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("James7765/WilR_9")
model = AutoModelForCausalLM.from_pretrained("James7765/WilR_9", device_map="auto")Quick Links
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="James7765/WilR_9")