Instructions to use MoTHer-VTHR/VTHR-LoRA-V-ModelTree_2-Depth_0-Node_f3qfRGVg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MoTHer-VTHR/VTHR-LoRA-V-ModelTree_2-Depth_0-Node_f3qfRGVg with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="MoTHer-VTHR/VTHR-LoRA-V-ModelTree_2-Depth_0-Node_f3qfRGVg")# Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("MoTHer-VTHR/VTHR-LoRA-V-ModelTree_2-Depth_0-Node_f3qfRGVg") model = AutoModel.from_pretrained("MoTHer-VTHR/VTHR-LoRA-V-ModelTree_2-Depth_0-Node_f3qfRGVg", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- edc26eca3c12f9eea59c6be45cfa4051487f9912dd908d1555f1cbaef69d7c54
- Size of remote file:
- 343 MB
- SHA256:
- d088be2d8c6ae3029fcdb7c6f3b33e7092a63ff10fe1b63565685dbb266ec444
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