Instructions to use liyongsea/bert_segmenter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use liyongsea/bert_segmenter with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="liyongsea/bert_segmenter")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("liyongsea/bert_segmenter") model = AutoModelForSequenceClassification.from_pretrained("liyongsea/bert_segmenter") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 619f0bd02f0426f5cb112fb0f80795e40aff7d5235c40ce333b6af9db416d764
- Size of remote file:
- 263 MB
- SHA256:
- 24b97f60293bacbc6af69536742d0391adb4e1187fbeacb0559b97cc75b2eb3f
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