Instructions to use PolarNight/deberta-base-ner-hw with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PolarNight/deberta-base-ner-hw with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="PolarNight/deberta-base-ner-hw")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("PolarNight/deberta-base-ner-hw") model = AutoModelForTokenClassification.from_pretrained("PolarNight/deberta-base-ner-hw", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from PolarNight/deberta-base-ner-hw: direct link, hf CLI and curl.
- Browser
- Download file 2.11 MB
-
https://huggingface.co/PolarNight/deberta-base-ner-hw/resolve/main/tokenizer.json
- Command line
-
hf download hf://PolarNight/deberta-base-ner-hw/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/PolarNight/deberta-base-ner-hw/resolve/main/tokenizer.json
2.11 MB
File too large to display, you can check the raw version instead.