Instructions to use Yuuu010v2/strvision with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Yuuu010v2/strvision with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Yuuu010v2/strvision") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("Yuuu010v2/strvision") model = AutoModelForImageClassification.from_pretrained("Yuuu010v2/strvision", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model_card.json from Yuuu010v2/strvision: direct link, hf CLI and curl.
- Browser
- Download file 200 Bytes
-
https://huggingface.co/Yuuu010v2/strvision/resolve/main/model_card.json
- Command line
-
hf download hf://Yuuu010v2/strvision/model_card.json
-
curl -L -o model_card.json https://huggingface.co/Yuuu010v2/strvision/resolve/main/model_card.json
200 Bytes
| { | |
| "model_name": "k2miner010v3", | |
| "description": "<DESCRIPTION>", | |
| "version": "v0.0.1", | |
| "submitted_by": "5HbSnBV3Twz489fqUHDrUi87T4LJiSvkASeNyz1s82LFxJy6", | |
| "submission_time": 1748391643 | |
| } |