Instructions to use ACIDE/User-VLM-3B-Instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ACIDE/User-VLM-3B-Instruct with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="ACIDE/User-VLM-3B-Instruct")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ACIDE/User-VLM-3B-Instruct", dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
704bd14 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:1203b2c094ea6671ec8cd08407b552009cbeca370691dd0e2d10389d6f17eb9c
size 5571
|