Token Classification
Transformers
Safetensors
xlm-roberta
pii
privacy
gdpr
anonymization
de-identification
ner
european
Instructions to use generaldata/ApplePie with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use generaldata/ApplePie with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="generaldata/ApplePie")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("generaldata/ApplePie") model = AutoModelForTokenClassification.from_pretrained("generaldata/ApplePie", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from generaldata/ApplePie: direct link, hf CLI and curl.
- Browser
- Download file 17.1 MB
-
https://huggingface.co/generaldata/ApplePie/resolve/main/tokenizer.json
- Command line
-
hf download hf://generaldata/ApplePie/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/generaldata/ApplePie/resolve/main/tokenizer.json
17.1 MB
- Xet hash:
- 569725c70305c57b162e271c48cbe90648f01f0b1df3e7078eba6acbe539e1f4
- Size of remote file:
- 17.1 MB
- SHA256:
- e33145445182c46ae896d136b317372e86aef9e6e5946ad03d231e4ff335eb2d
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