Instructions to use FIM4Science/fim-imp-temporal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FIM4Science/fim-imp-temporal with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="FIM4Science/fim-imp-temporal", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("FIM4Science/fim-imp-temporal", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "auto_map": { | |
| "AutoConfig": "fim.models.imputation_temporal.FIMImpTempConfig", | |
| "AutoModel": "fim.models.imputation_temporal.FIMImpTemp" | |
| }, | |
| "architectures": [ | |
| "FIMImpTemp" | |
| ], | |
| "denoising_model": null, | |
| "fim_imputation": "FIM4Science/fim-imputation", | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.51.3" | |
| } | |