Instructions to use syssec-utd/py37-pylingual-v1-segmenter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use syssec-utd/py37-pylingual-v1-segmenter with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="syssec-utd/py37-pylingual-v1-segmenter")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("syssec-utd/py37-pylingual-v1-segmenter") model = AutoModelForTokenClassification.from_pretrained("syssec-utd/py37-pylingual-v1-segmenter") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c4a4fddb5683ba2475ff4ac89b456a3aa2f047727408c27ad239d36bbe91b3a3
- Size of remote file:
- 5.43 kB
- SHA256:
- aff5ddc13093ff03deea54b8a8658498f176769091d518116fb4c973df7be9a8
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