Instructions to use syssec-utd/py315-pylingual-v2-segmenter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use syssec-utd/py315-pylingual-v2-segmenter with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="syssec-utd/py315-pylingual-v2-segmenter")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("syssec-utd/py315-pylingual-v2-segmenter") model = AutoModelForTokenClassification.from_pretrained("syssec-utd/py315-pylingual-v2-segmenter", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 2
Browse files
model.safetensors
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runs/Jun05_16-15-12_kjee-ub1.utdallas.edu/events.out.tfevents.1780694127.kjee-ub1.utdallas.edu
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