Instructions to use zgotter/bert_two_sent_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zgotter/bert_two_sent_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="zgotter/bert_two_sent_classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("zgotter/bert_two_sent_classifier") model = AutoModelForSequenceClassification.from_pretrained("zgotter/bert_two_sent_classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f7a9ec28df40c0de78173bb5d2b5ff04197800276c238af7736885f353f38faa
- Size of remote file:
- 712 MB
- SHA256:
- 40da446ae5552a1e27f695ed75f6afe2884a0a5cb0b8107bd24359f0030f42f1
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