Instructions to use syssec-utd/py314-pylingual-v4-segmenter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use syssec-utd/py314-pylingual-v4-segmenter with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="syssec-utd/py314-pylingual-v4-segmenter")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("syssec-utd/py314-pylingual-v4-segmenter") model = AutoModelForTokenClassification.from_pretrained("syssec-utd/py314-pylingual-v4-segmenter", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Trained on syssec-utd/segmentation-py314-pylingual-v4-tokenized using syssec-utd/py314-pylingual-v4-mlm
Verified signaturec744aaa -
Model save
Verified signaturebcbe25a -
Training in progress, epoch 2
Verified signaturea746a72
-
Training in progress, epoch 1
Verified signature6702571 -
initial commit
Verified signaturefd084f0