How to use seamon67/Punctuation-Restoration with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="seamon67/Punctuation-Restoration")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("seamon67/Punctuation-Restoration") model = AutoModelForTokenClassification.from_pretrained("seamon67/Punctuation-Restoration", device_map="auto")
How to use seamon67/Punctuation-Restoration with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('token-classification', 'seamon67/Punctuation-Restoration');
https://huggingface.co/seamon67/Punctuation-Restoration/resolve/main/eval/baselines.json
hf download hf://seamon67/Punctuation-Restoration/eval/baselines.json
curl -L -o baselines.json https://huggingface.co/seamon67/Punctuation-Restoration/resolve/main/eval/baselines.json
