Question Answering
Transformers
PyTorch
TensorBoard
English
llama
text-generation
language-agent
web-agent
maths
reasoning
planning
text-generation-inference
Instructions to use ai2lumos/lumos_unified_plan_iterative-13B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ai2lumos/lumos_unified_plan_iterative-13B 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="ai2lumos/lumos_unified_plan_iterative-13B")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("ai2lumos/lumos_unified_plan_iterative-13B") model = AutoModelForCausalLM.from_pretrained("ai2lumos/lumos_unified_plan_iterative-13B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model-00004-of-00006.bin from ai2lumos/lumos_unified_plan_iterative-13B: direct link, hf CLI and curl.
- Browser
- Download file 4.93 GB
-
https://huggingface.co/ai2lumos/lumos_unified_plan_iterative-13B/resolve/main/pytorch_model-00004-of-00006.bin
- Command line
-
hf download hf://ai2lumos/lumos_unified_plan_iterative-13B/pytorch_model-00004-of-00006.bin
-
curl -L -o pytorch_model-00004-of-00006.bin https://huggingface.co/ai2lumos/lumos_unified_plan_iterative-13B/resolve/main/pytorch_model-00004-of-00006.bin
4.93 GB
- Xet hash:
- 06e24422ce3abf4b12b23cc2942bef00b08d4b11df9b1858b1e0d16c931e1cb8
- Size of remote file:
- 4.93 GB
- SHA256:
- 3d445a122f6dd0dc706fb3154e6bbacadb085b54ff6648d3e27fc3d233a21585
路
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