Instructions to use connectivity/bert_ft_qqp-10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use connectivity/bert_ft_qqp-10 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="connectivity/bert_ft_qqp-10")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("connectivity/bert_ft_qqp-10") model = AutoModelForSequenceClassification.from_pretrained("connectivity/bert_ft_qqp-10", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Saving weights and logs of step 34110
7e78412 -
Saving weights and logs of step 30000
eb1cc8d -
Saving weights and logs of step 25000
99696e7 -
Saving weights and logs of step 20000
ba4403e -
Saving weights and logs of step 15000
99a23b4