Instructions to use syssec-utd/py38-pylingual-v1-segmenter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use syssec-utd/py38-pylingual-v1-segmenter with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="syssec-utd/py38-pylingual-v1-segmenter")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("syssec-utd/py38-pylingual-v1-segmenter") model = AutoModelForTokenClassification.from_pretrained("syssec-utd/py38-pylingual-v1-segmenter") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b290bcfcb949c2c6a10ee9e2f1914296a0df50b5fb6ab85534dec8f958d72257
- Size of remote file:
- 5.5 kB
- SHA256:
- ca998effad47d5e4aacfff503d9d231e596afcfc05cc83fd1e38cf35ed44594f
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