Instructions to use calbors/ReVar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use calbors/ReVar with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="calbors/ReVar", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("calbors/ReVar", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": [ | |
| "ReVarModel" | |
| ], | |
| "auto_map": { | |
| "AutoConfig": "configuration_revar.ReVarConfig", | |
| "AutoModel": "modeling_revar.ReVarModel" | |
| }, | |
| "inner_dim": 480, | |
| "kernel_size": 5, | |
| "model_type": "revar", | |
| "num_output_channels": 5, | |
| "num_stacks": 20, | |
| "outer_dim": 960, | |
| "stack_size": 2, | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.47.0.dev0" | |
| } | |