Instructions to use Jeevesh8/init_bert_ft_qqp-86 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/init_bert_ft_qqp-86 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/init_bert_ft_qqp-86")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/init_bert_ft_qqp-86") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/init_bert_ft_qqp-86") - Notebooks
- Google Colab
- Kaggle
Added training logs
Browse files
events.out.tfevents.1654147623.gr008.hpc.nyu.edu
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version https://git-lfs.github.com/spec/v1
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oid sha256:8c4358552e346846cbbcdec34182ee50d9d9570e9363e8b1ce2b8598f52c45f1
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size 16499048
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