Instructions to use theadityamittal/resnet50 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use theadityamittal/resnet50 with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "image-to-text" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("image-to-text", model="theadityamittal/resnet50")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("theadityamittal/resnet50", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": [ | |
| "HFModel" | |
| ], | |
| "model_type": "custom_model", | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.41.2" | |
| } | |