Instructions to use Diankun/Spatial-MLLM-subset-sft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Diankun/Spatial-MLLM-subset-sft with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForSeq2SeqLM processor = AutoProcessor.from_pretrained("Diankun/Spatial-MLLM-subset-sft") model = AutoModelForSeq2SeqLM.from_pretrained("Diankun/Spatial-MLLM-subset-sft") - Notebooks
- Google Colab
- Kaggle
Improve model card: Correct pipeline tag, add library name, and link project page
#1
by nielsr HF Staff - opened
This PR improves the model card by:
- Correcting the
pipeline_tagtovideo-text-to-text. - Adding
library_name: transformers - Adding a link to the project page.
This update enhances discoverability and provides a more comprehensive description of the model.
Diankun changed pull request status to merged