Instructions to use RoseG/MiniMiP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RoseG/MiniMiP with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="RoseG/MiniMiP")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("RoseG/MiniMiP") model = AutoModelForCausalLM.from_pretrained("RoseG/MiniMiP") - Notebooks
- Google Colab
- Kaggle
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("question-answering", model="RoseG/MiniMiP")# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("RoseG/MiniMiP")
model = AutoModelForCausalLM.from_pretrained("RoseG/MiniMiP")Quick Links
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google/gemma-3-12b-pt
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