Instructions to use syssec-utd/py314-pylingual-v8-segmenter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use syssec-utd/py314-pylingual-v8-segmenter with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="syssec-utd/py314-pylingual-v8-segmenter")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("syssec-utd/py314-pylingual-v8-segmenter") model = AutoModelForTokenClassification.from_pretrained("syssec-utd/py314-pylingual-v8-segmenter", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 999a8e672848dfee2844c15bfa7b81307a3ad0f6198d5c1a0cf9ee4d48145c2d
- Size of remote file:
- 5.27 kB
- SHA256:
- 6cf8b765d7f2ef126b319b60bba14c8c82c711e96cfaf2c7ce5f2dae18c1a21c
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