Instructions to use Jeevesh8/init_bert_ft_qqp-52 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/init_bert_ft_qqp-52 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/init_bert_ft_qqp-52")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/init_bert_ft_qqp-52") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/init_bert_ft_qqp-52") - Notebooks
- Google Colab
- Kaggle
Added training logs
Browse files
events.out.tfevents.1654103117.gr051.hpc.nyu.edu
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version https://git-lfs.github.com/spec/v1
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size 16499048
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