Token Classification
Transformers
PyTorch
English
named-entity-recognition
ner
span-ner
globalpointer
Instructions to use xinyacs/ecombert-ner-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xinyacs/ecombert-ner-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="xinyacs/ecombert-ner-v1")# pip install -U transformers accelerate # Load model directly from transformers import EcomBertNER model = EcomBertNER.from_pretrained("xinyacs/ecombert-ner-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from xinyacs/ecombert-ner-v1: direct link, hf CLI and curl.
- Browser
- Download file 3.58 MB
-
https://huggingface.co/xinyacs/ecombert-ner-v1/resolve/main/tokenizer.json
- Command line
-
hf download hf://xinyacs/ecombert-ner-v1/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/xinyacs/ecombert-ner-v1/resolve/main/tokenizer.json
3.58 MB
File too large to display, you can check the raw version instead.