Instructions to use MoTHer-VTHR/VTHR-LoRA-F-ModelTree_3-Depth_0-Node_5QCnou2M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MoTHer-VTHR/VTHR-LoRA-F-ModelTree_3-Depth_0-Node_5QCnou2M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="MoTHer-VTHR/VTHR-LoRA-F-ModelTree_3-Depth_0-Node_5QCnou2M")# Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("MoTHer-VTHR/VTHR-LoRA-F-ModelTree_3-Depth_0-Node_5QCnou2M") model = AutoModel.from_pretrained("MoTHer-VTHR/VTHR-LoRA-F-ModelTree_3-Depth_0-Node_5QCnou2M", device_map="auto") - Notebooks
- Google Colab
- Kaggle