Instructions to use syssec-utd/py313-pylingual-v1-segmenter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use syssec-utd/py313-pylingual-v1-segmenter with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="syssec-utd/py313-pylingual-v1-segmenter")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("syssec-utd/py313-pylingual-v1-segmenter") model = AutoModelForTokenClassification.from_pretrained("syssec-utd/py313-pylingual-v1-segmenter") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
0d5baff | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:51a0ad05a5b2acd3144621461147e0f715ead407235342d0c6292cd551e3c0ff
size 5432
|