Text Classification
Transformers
ONNX
Safetensors
Rust
English
tool-use
function-calling
tool-calling
guardrails
verifier
shadow-mode
Eval Results (legacy)
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", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5e3f1b1de2e6bc1a05ca4d4728531a95f1a8170fcf25700285d46497aa0e55c1
- Size of remote file:
- 4.23 GB
- SHA256:
- a41d84ce19bee14e4ce24fc95cf1772f4041b2a4fab9f23707f720ef10685e7f
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