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-00002-of-00006.bin from ai2lumos/lumos_unified_plan_iterative-13B: direct link, hf CLI and curl.
- Browser
- Download file 4.97 GB
-
https://huggingface.co/ai2lumos/lumos_unified_plan_iterative-13B/resolve/main/pytorch_model-00002-of-00006.bin
- Command line
-
hf download hf://ai2lumos/lumos_unified_plan_iterative-13B/pytorch_model-00002-of-00006.bin
-
curl -L -o pytorch_model-00002-of-00006.bin https://huggingface.co/ai2lumos/lumos_unified_plan_iterative-13B/resolve/main/pytorch_model-00002-of-00006.bin
4.97 GB
- Xet hash:
- 91e07332f205530b2bcdd4d0f7ec2460b0c6252251dd094604ae370cc9f788fa
- Size of remote file:
- 4.97 GB
- SHA256:
- 3c0d8a87ff73c4f6f3118c89066902902f97700067c7dc5002446a81ff6cf1ef
路
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