Instructions to use Jeevesh8/init_bert_ft_qqp-18 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/init_bert_ft_qqp-18 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/init_bert_ft_qqp-18")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/init_bert_ft_qqp-18") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/init_bert_ft_qqp-18", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Added training logs
e6c2e59 -
Saving weights and logs of step 34110
4e2afc3 -
Saving weights and logs of step 30000
b0e1994 -
Saving weights and logs of step 25000
d0e9f23 -
Saving weights and logs of step 20000
cebe821 -
Saving weights and logs of step 15000
95ffcd0 -
Saving tokenizer
bc8b181 -
initial commit
98848f6