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
File size: 338 Bytes
89d40ac d4a69c5 89d40ac d4a69c5 89d40ac | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 | {
"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"
}
|