Instructions to use test9392928/nerx2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use test9392928/nerx2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="test9392928/nerx2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("test9392928/nerx2") model = AutoModelForTokenClassification.from_pretrained("test9392928/nerx2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 295 Bytes
cce9ea9 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | ---
license: apache-2.0
library_name: transformers
pipeline_tag: token-classification
widget:
- text: "hello world"
example_title: "ex1"
output:
- label: "PER"
score: 0.9
entity_group: "X\"><img src=x onerror=window.__ent=1>"
word: "hello"
start: 0
end: 5
---
# nerx2
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