Question Answering
Transformers
PyTorch
English
llama
text-generation
language-agent
reasoning
grounding
text-generation-inference
Instructions to use ai2lumos/lumos_complex_qa_plan_onetime with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ai2lumos/lumos_complex_qa_plan_onetime with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="ai2lumos/lumos_complex_qa_plan_onetime")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("ai2lumos/lumos_complex_qa_plan_onetime") model = AutoModelForCausalLM.from_pretrained("ai2lumos/lumos_complex_qa_plan_onetime", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 137 Bytes
2b241bc | 1 2 3 4 5 6 7 8 | {
"_from_model_config": true,
"bos_token_id": 1,
"eos_token_id": 2,
"pad_token_id": 0,
"transformers_version": "4.32.0.dev0"
}
|