Instructions to use AdamOswald1/Testing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AdamOswald1/Testing with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="AdamOswald1/Testing") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("AdamOswald1/Testing", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| license: creativeml-openrail-m | |
| tags: | |
| - text-to-image | |
| - image-classification | |
| library_name: transformers | |
| inference: true | |
| datasets: | |
| - AdamOswald1/autotrain-data-failure | |
| - AdamOswald1/autotrain-data-testing | |
| - AdamOswald1/autotrain-data-l | |
| - AdamOswald1/autotrain-data-attempt | |
| - AdamOswald1/autotrain-data-alt | |
| - AdamOswald1/autotrain-data-testttt | |
| - AdamOswald1/autotrain-data-let | |