Instructions to use vikenkd/vqa-llm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vikenkd/vqa-llm with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("vikenkd/vqa-llm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Upload config.json
Verified signature9fe89c2 -
Delete config.json
Verified signaturebb230a5 -
Upload model.model
Verified signature60e0afb -
feat: upload 2 file - model and config
Verified signature52061e5 -
Delete config.json
Verified signature2fda1ba -
Delete pytorch_model.bin
Verified signature6c3f5ab -
feat: upload 2 model and config file
Verified signaturee6a76f4 -
Delete config.json
Verified signaturef7be8c3 -
Delete pytorch_model.bin
Verified signature08c5c5a
-
Upload pytorch_model.bin
Verified signature637bb2d -
Delete vqa_model.bin
Verified signature9a5b537 -
fix: format and update config.json file
Verified signatureb5f62b6 -
feat: upload 2 file of model
Verified signatureaf714e0 -
initial commit
Verified signature23ca602