Instructions to use Jeevesh8/init_bert_ft_qqp-34 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/init_bert_ft_qqp-34 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/init_bert_ft_qqp-34")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/init_bert_ft_qqp-34") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/init_bert_ft_qqp-34", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Added training logs
1b4ba34 -
Saving weights and logs of step 34110
35dff18 -
Saving weights and logs of step 30000
611c530 -
Saving weights and logs of step 25000
897b107 -
Saving weights and logs of step 20000
95927b3 -
Saving weights and logs of step 15000
164aae8 -
Saving tokenizer
0e38fc9 -
initial commit
acff814