Question Answering
Transformers
PyTorch
TensorBoard
English
llama
text-generation
language-agent
web-agent
maths
reasoning
grounding
text-generation-inference
Instructions to use ai2lumos/lumos_unified_ground_iterative-13B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ai2lumos/lumos_unified_ground_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_ground_iterative-13B")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("ai2lumos/lumos_unified_ground_iterative-13B") model = AutoModelForCausalLM.from_pretrained("ai2lumos/lumos_unified_ground_iterative-13B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from ai2lumos/lumos_unified_ground_iterative-13B: direct link, hf CLI and curl.
- Browser
- Download file 132 Bytes
-
https://huggingface.co/ai2lumos/lumos_unified_ground_iterative-13B/resolve/main/generation_config.json
- Command line
-
hf download hf://ai2lumos/lumos_unified_ground_iterative-13B/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/ai2lumos/lumos_unified_ground_iterative-13B/resolve/main/generation_config.json
132 Bytes
| { | |
| "_from_model_config": true, | |
| "bos_token_id": 1, | |
| "eos_token_id": 2, | |
| "pad_token_id": 0, | |
| "transformers_version": "4.37.2" | |
| } | |