Feature Extraction
Transformers
Safetensors
English
cronformer
cron
schedules
text-to-cron
structured-prediction
custom-code
custom_code
Eval Results (legacy)
Instructions to use impalasys/cronformer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use impalasys/cronformer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="impalasys/cronformer", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("impalasys/cronformer", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "repo_id": "impalasys/cronformer", | |
| "release": "v0.1.0", | |
| "source_checkpoint": "/Users/shukant/Library/CloudStorage/GoogleDrive-sukantk3.4@gmail.com/My Drive/Checkpoints/Codex/Cronformer/passes/pass322-full-broad-failure-repair-v1/checkpoint/num_steps-12000", | |
| "release_dir": "/Users/shukant/Library/CloudStorage/GoogleDrive-sukantk3.4@gmail.com/My Drive/Checkpoints/Cronformer/hf_releases/impalasys-cronformer-v0.1.0", | |
| "checkpoint_pass": "pass322-full-broad-failure-repair-v1", | |
| "checkpoint_step": "num_steps-12000", | |
| "files_expected": [ | |
| "MANIFEST.json", | |
| "README.md", | |
| "RELEASE.json", | |
| "SHA256SUMS", | |
| "__init__.py", | |
| "config.json", | |
| "configuration_cronformer.py", | |
| "cron.py", | |
| "model.safetensors", | |
| "modeling_cronformer.py", | |
| "special_tokens_map.json", | |
| "tokenizer_config.json", | |
| "vocab.txt" | |
| ], | |
| "validation_status": "passed", | |
| "validation_command": "bazel run //uncommonstash/cronformer:validate_hf_cronformer_release -- --hf-dir <release-dir> --local-files-only --json", | |
| "parameters": 6334826, | |
| "model_safetensors_bytes": 25368616, | |
| "model_safetensors_mib": 24.19 | |
| } | |