Token Classification
Transformers
ONNX
Safetensors
multilingual
bert
autofill
password-manager
form-classification
field-classification
browser-extension
Instructions to use ProCreations/Zap with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ProCreations/Zap with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ProCreations/Zap")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ProCreations/Zap") model = AutoModelForTokenClassification.from_pretrained("ProCreations/Zap", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download eval/export_parity.json from ProCreations/Zap: direct link, hf CLI and curl.
- Browser
- Download file 218 Bytes
-
https://huggingface.co/ProCreations/Zap/resolve/main/eval/export_parity.json
- Command line
-
hf download hf://ProCreations/Zap/eval/export_parity.json
-
curl -L -o export_parity.json https://huggingface.co/ProCreations/Zap/resolve/main/eval/export_parity.json
218 Bytes
| { | |
| "positions": 11605, | |
| "fp32_onnx_max_abs_logit_diff": 0.00010442733764648438, | |
| "bf16_torch_argmax_agreement": 0.9999138302455838, | |
| "fp32_onnx_argmax_agreement": 1.0, | |
| "int8_onnx_argmax_agreement": 0.999138302455838 | |
| } |