Token Classification
Transformers
PyTorch
English
roberta
feature-extraction
entity-recognition
foundation-model
RoBERTa
generic
Instructions to use numind/NuNER-v0.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use numind/NuNER-v0.1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="numind/NuNER-v0.1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("numind/NuNER-v0.1") model = AutoModel.from_pretrained("numind/NuNER-v0.1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from numind/NuNER-v0.1: direct link, hf CLI and curl.
- Browser
- Download file 1.36 MB
-
https://huggingface.co/numind/NuNER-v0.1/resolve/refs%2Fpr%2F2/tokenizer.json
- Command line
-
hf download hf://numind/NuNER-v0.1@refs/pr/2/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/numind/NuNER-v0.1/resolve/refs%2Fpr%2F2/tokenizer.json
1.36 MB
File too large to display, you can check the raw version instead.