Feature Extraction
Transformers
Safetensors
English
cronformer
cron
schedules
text-to-cron
structured-prediction
custom-code
custom_code
Eval Results (legacy)
Instructions to use uncommonstash/cronformer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use uncommonstash/cronformer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="uncommonstash/cronformer", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("uncommonstash/cronformer", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download __init__.py from uncommonstash/cronformer: direct link, hf CLI and curl.
- Browser
- Download file 184 Bytes
-
https://huggingface.co/uncommonstash/cronformer/resolve/main/__init__.py
- Command line
-
hf download hf://uncommonstash/cronformer/__init__.py
-
curl -L -o __init__.py https://huggingface.co/uncommonstash/cronformer/resolve/main/__init__.py
184 Bytes
| # Copyright 2026 Impala Systems, Inc. | |
| # SPDX-License-Identifier: AGPL-3.0-only | |
| from .configuration_cronformer import CronformerConfig | |
| from .modeling_cronformer import CronformerModel | |