Instructions to use altndrr/cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use altndrr/cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="altndrr/cased", trust_remote_code=True) pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("altndrr/cased", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "alpha": 0.5, | |
| "architectures": [ | |
| "CaSEDModel" | |
| ], | |
| "auto_map": { | |
| "AutoConfig": "configuration_cased.CaSEDConfig", | |
| "AutoModel": "modeling_cased.CaSEDModel" | |
| }, | |
| "cache_dir": null, | |
| "index_name": "cc12m", | |
| "model_type": "cased", | |
| "retrieval_num_results": 10, | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.29.2" | |
| } | |