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 tokenizer_config.json from ProCreations/Zap: direct link, hf CLI and curl.
- Browser
- Download file 199 Bytes
-
https://huggingface.co/ProCreations/Zap/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://ProCreations/Zap/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/ProCreations/Zap/resolve/main/tokenizer_config.json
199 Bytes
| { | |
| "cls_token": "[CLS]", | |
| "mask_token": "[MASK]", | |
| "model_max_length": 512, | |
| "pad_token": "[PAD]", | |
| "sep_token": "[SEP]", | |
| "tokenizer_class": "PreTrainedTokenizerFast", | |
| "unk_token": "[UNK]" | |
| } |