Text Classification
Transformers
ONNX
Safetensors
Rust
English
tool-use
function-calling
tool-calling
guardrails
verifier
shadow-mode
Instructions to use cowWhySo/toolcall-verifier-classifier-production with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cowWhySo/toolcall-verifier-classifier-production with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="cowWhySo/toolcall-verifier-classifier-production")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("cowWhySo/toolcall-verifier-classifier-production", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "schema_version": "toolcall-verifier-protected-split-balance/v1", | |
| "group_preserving": true, | |
| "min_valid_rows_per_target": 25, | |
| "target_splits": [ | |
| "validation", | |
| "test" | |
| ], | |
| "counts_before": { | |
| "train": { | |
| "terminal_like_tool": 781, | |
| "corrected_error_recovery_positive": 462, | |
| "fixed_width_numeric_string": 823, | |
| "noop_valid_call": 1759 | |
| }, | |
| "calibration": { | |
| "terminal_like_tool": 44, | |
| "corrected_error_recovery_positive": 34, | |
| "fixed_width_numeric_string": 53, | |
| "noop_valid_call": 101 | |
| }, | |
| "validation": { | |
| "terminal_like_tool": 49, | |
| "corrected_error_recovery_positive": 32, | |
| "fixed_width_numeric_string": 55, | |
| "noop_valid_call": 117 | |
| }, | |
| "test": { | |
| "terminal_like_tool": 93, | |
| "corrected_error_recovery_positive": 57, | |
| "fixed_width_numeric_string": 107, | |
| "noop_valid_call": 218 | |
| } | |
| }, | |
| "actions": [], | |
| "deficits": [], | |
| "total_support": { | |
| "terminal_like_tool": 967, | |
| "corrected_error_recovery_positive": 585, | |
| "fixed_width_numeric_string": 1038, | |
| "noop_valid_call": 2195 | |
| }, | |
| "counts_after": { | |
| "train": { | |
| "terminal_like_tool": 781, | |
| "corrected_error_recovery_positive": 462, | |
| "fixed_width_numeric_string": 823, | |
| "noop_valid_call": 1759 | |
| }, | |
| "calibration": { | |
| "terminal_like_tool": 44, | |
| "corrected_error_recovery_positive": 34, | |
| "fixed_width_numeric_string": 53, | |
| "noop_valid_call": 101 | |
| }, | |
| "validation": { | |
| "terminal_like_tool": 49, | |
| "corrected_error_recovery_positive": 32, | |
| "fixed_width_numeric_string": 55, | |
| "noop_valid_call": 117 | |
| }, | |
| "test": { | |
| "terminal_like_tool": 93, | |
| "corrected_error_recovery_positive": 57, | |
| "fixed_width_numeric_string": 107, | |
| "noop_valid_call": 218 | |
| } | |
| }, | |
| "split_rows_after": { | |
| "train": 181675, | |
| "calibration": 11261, | |
| "validation": 11293, | |
| "test": 22370 | |
| } | |
| } |