# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("figmtu/opt-350m-aac")
model = AutoModelForCausalLM.from_pretrained("figmtu/opt-350m-aac", device_map="auto")Quick Links
This is a fine-tuned version of Meta's OPT 350M model. It was fine-tuned on conversational style sentences mined from the DailyDialog and the BOLT SMS/Chat corpora.
See our EMNLP 2025 paper for details.
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="figmtu/opt-350m-aac")