Instructions to use vickt/AI_CUP_deidentification_formal_split with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vickt/AI_CUP_deidentification_formal_split with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="vickt/AI_CUP_deidentification_formal_split")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("vickt/AI_CUP_deidentification_formal_split") model = AutoModel.from_pretrained("vickt/AI_CUP_deidentification_formal_split", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from vickt/AI_CUP_deidentification_formal_split: direct link, hf CLI and curl.
- Browser
- Download file 2.11 MB
-
https://huggingface.co/vickt/AI_CUP_deidentification_formal_split/resolve/refs%2Fpr%2F1/tokenizer.json
- Command line
-
hf download hf://vickt/AI_CUP_deidentification_formal_split@refs/pr/1/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/vickt/AI_CUP_deidentification_formal_split/resolve/refs%2Fpr%2F1/tokenizer.json
2.11 MB
File too large to display, you can check the raw version instead.