Instructions to use liyongsea/binary_bert_segmenter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use liyongsea/binary_bert_segmenter with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="liyongsea/binary_bert_segmenter")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("liyongsea/binary_bert_segmenter") model = AutoModelForSequenceClassification.from_pretrained("liyongsea/binary_bert_segmenter") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ad37c28a14b72275f5d27a36ff02afd89a99df59a33921d992ebd211351df328
- Size of remote file:
- 263 MB
- SHA256:
- 068a137ee0d91c65363020190fe9ea66718ae1dea81de9f81877dd95d22bbf06
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