Instructions to use FIM4Science/fim-imp-temporal-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FIM4Science/fim-imp-temporal-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="FIM4Science/fim-imp-temporal-base", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("FIM4Science/fim-imp-temporal-base", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Update class name: FIMImputation to FIMImpTempBase
Browse files- config.json +5 -1
config.json
CHANGED
|
@@ -1,6 +1,10 @@
|
|
| 1 |
{
|
|
|
|
|
|
|
|
|
|
|
|
|
| 2 |
"architectures": [
|
| 3 |
-
"
|
| 4 |
],
|
| 5 |
"fim_base": "FIM4Science/fim-imputation-base",
|
| 6 |
"global_normalization_times": {
|
|
|
|
| 1 |
{
|
| 2 |
+
"auto_map": {
|
| 3 |
+
"AutoConfig": "fim.models.imputation_temporal.FIMImpTempBaseConfig",
|
| 4 |
+
"AutoModel": "fim.models.imputation_temporal.FIMImpTempBase"
|
| 5 |
+
},
|
| 6 |
"architectures": [
|
| 7 |
+
"FIMImpTempBase"
|
| 8 |
],
|
| 9 |
"fim_base": "FIM4Science/fim-imputation-base",
|
| 10 |
"global_normalization_times": {
|