Instructions to use Jeevesh8/init_bert_ft_qqp-28 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/init_bert_ft_qqp-28 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/init_bert_ft_qqp-28")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/init_bert_ft_qqp-28") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/init_bert_ft_qqp-28", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Added training logs
9c92254 -
Saving weights and logs of step 34110
0307424 -
Saving weights and logs of step 30000
8a0e57d -
Saving weights and logs of step 25000
ff0609a -
Saving weights and logs of step 20000
5d65ffb -
Saving weights and logs of step 15000
5dad410 -
Saving tokenizer
fa22cda -
initial commit
088e01d