Question Answering
Transformers
PyTorch
English
llama
text-generation
language-agent
reasoning
grounding
text-generation-inference
Instructions to use ai2lumos/lumos_complex_qa_plan_iterative-13B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ai2lumos/lumos_complex_qa_plan_iterative-13B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="ai2lumos/lumos_complex_qa_plan_iterative-13B")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("ai2lumos/lumos_complex_qa_plan_iterative-13B") model = AutoModelForCausalLM.from_pretrained("ai2lumos/lumos_complex_qa_plan_iterative-13B") - Notebooks
- Google Colab
- Kaggle
Ctrl+K