Feature Extraction
Transformers
PyTorch
Safetensors
fimhawkes
time-series
temporal-point-processes
hawkes-processes
scientific-ml
custom_code
Instructions to use FIM4Science/FIM-PP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FIM4Science/FIM-PP with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="FIM4Science/FIM-PP", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("FIM4Science/FIM-PP", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
| from fim.models.hawkes import FIMHawkes | |
| __all__ = ["FIMHawkes"] | |