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
File size: 134 Bytes
ba40a90 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:d088be2d8c6ae3029fcdb7c6f3b33e7092a63ff10fe1b63565685dbb266ec444
size 343216880
|