How to use syssec-utd/py315-pylingual-v5-segmenter with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="syssec-utd/py315-pylingual-v5-segmenter")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("syssec-utd/py315-pylingual-v5-segmenter") model = AutoModelForTokenClassification.from_pretrained("syssec-utd/py315-pylingual-v5-segmenter", device_map="auto")
https://huggingface.co/syssec-utd/py315-pylingual-v5-segmenter/resolve/main/tokenizer.json
hf download hf://syssec-utd/py315-pylingual-v5-segmenter/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/syssec-utd/py315-pylingual-v5-segmenter/resolve/main/tokenizer.json
