Instructions to use Jeevesh8/init_bert_ft_qqp-5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/init_bert_ft_qqp-5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/init_bert_ft_qqp-5")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/init_bert_ft_qqp-5") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/init_bert_ft_qqp-5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Added training logs
578cc4e -
Saving weights and logs of step 34110
e22c9cc -
Saving weights and logs of step 30000
ca69dac -
Saving weights and logs of step 25000
0d8a02d -
Saving weights and logs of step 20000
8fdeb76 -
Saving weights and logs of step 15000
b28debc -
Saving tokenizer
36ea2cf -
initial commit
1a905c0