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-00006-of-00006.bin from ai2lumos/lumos_unified_plan_iterative-13B: direct link, hf CLI and curl.
- Browser
- Download file 1.25 GB
-
https://huggingface.co/ai2lumos/lumos_unified_plan_iterative-13B/resolve/main/pytorch_model-00006-of-00006.bin
- Command line
-
hf download hf://ai2lumos/lumos_unified_plan_iterative-13B/pytorch_model-00006-of-00006.bin
-
curl -L -o pytorch_model-00006-of-00006.bin https://huggingface.co/ai2lumos/lumos_unified_plan_iterative-13B/resolve/main/pytorch_model-00006-of-00006.bin
1.25 GB
- Xet hash:
- de613738458ac2d86d3d3078da939aa8edd6512fc8682ce718d482dc1f9d4966
- Size of remote file:
- 1.25 GB
- SHA256:
- fbee8f7b2243818ab96cad650744f7a65d3e0065ad962dab815d816ca6aa3c26
路
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