Instructions to use Jeevesh8/init_bert_ft_qqp-23 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/init_bert_ft_qqp-23 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/init_bert_ft_qqp-23")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/init_bert_ft_qqp-23") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/init_bert_ft_qqp-23", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Added training logs
f5eeb9b -
Saving weights and logs of step 34110
5573ac2 -
Saving weights and logs of step 30000
c5f3314 -
Saving weights and logs of step 25000
7661ca1 -
Saving weights and logs of step 20000
96c1fdc -
Saving weights and logs of step 15000
f5e097e -
Saving tokenizer
c93b975 -
initial commit
c586019