Instructions to use connectivity/bert_ft_qqp-68 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use connectivity/bert_ft_qqp-68 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="connectivity/bert_ft_qqp-68")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("connectivity/bert_ft_qqp-68") model = AutoModelForSequenceClassification.from_pretrained("connectivity/bert_ft_qqp-68", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Upload qqp_eval@34110steps_bert_ft_qqp-68.json with git-lfs
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Upload paws_eval@34110steps_bert_ft_qqp-68.json
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Upload paws_eval@25000steps_bert_ft_qqp-68.json
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initial commit
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