How to use ma4389/LFM2-DPO with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="ma4389/LFM2-DPO")
# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("ma4389/LFM2-DPO") model = AutoModelForCausalLM.from_pretrained("ma4389/LFM2-DPO")
license: c-uda datasets: - Anthropic/hh-rlhf language: - en base_model: - LiquidAI/LFM2-700M pipeline_tag: question-answering library_name: transformers
