Instructions to use ligermohit02/Laura with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use ligermohit02/Laura with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("<base-model-id>") model.load_adapter("ligermohit02/Laura", set_active=True) - Notebooks
- Google Colab
- Kaggle
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Download README.md from ligermohit02/Laura: direct link, hf CLI and curl.
- Browser
- Download file 331 Bytes
-
https://huggingface.co/ligermohit02/Laura/resolve/main/README.md
- Command line
-
hf download hf://ligermohit02/Laura/README.md
-
curl -L -o README.md https://huggingface.co/ligermohit02/Laura/resolve/main/README.md
331 Bytes
metadata
license: mit
datasets:
- FreedomIntelligence/medical-o1-reasoning-SFT
language:
- en
- hi
- la
metrics:
- accuracy
- bertscore
base_model:
- Qwen/Qwen2.5-Omni-7B
- agentica-org/DeepCoder-14B-Preview
new_version: manycore-research/SpatialLM-Llama-1B
pipeline_tag: text-to-video
library_name: adapter-transformers
tags:
- art