bitext/Bitext-customer-support-llm-chatbot-training-dataset
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How to use Arnic/gemma-3n-E2B-it_customer_support_QA_Unsloth with Transformers:
# Use a pipeline as a high-level helper
# Warning: Pipeline type "question-answering" is no longer supported in transformers v5.
# You must load the model directly (see below) or downgrade to v4.x with:
# pip install "transformers<5.0.0"
from transformers import pipeline
pipe = pipeline("question-answering", model="Arnic/gemma-3n-E2B-it_customer_support_QA_Unsloth") # pip install -U transformers accelerate
# Load model directly
from transformers import AutoProcessor, AutoModelForMultimodalLM
processor = AutoProcessor.from_pretrained("Arnic/gemma-3n-E2B-it_customer_support_QA_Unsloth")
model = AutoModelForMultimodalLM.from_pretrained("Arnic/gemma-3n-E2B-it_customer_support_QA_Unsloth", device_map="auto")Links:
This gemma3n model was trained 2x faster with Unsloth and Huggingface's TRL library.