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
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:7aba0a27216ffc6a3e052d65a5990f475f2652dc9ac3a84d1432e0545f3133f6
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size 263144680
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