Instructions to use deepset/quora_dedup_bert_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deepset/quora_dedup_bert_base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="deepset/quora_dedup_bert_base")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("deepset/quora_dedup_bert_base") model = AutoModel.from_pretrained("deepset/quora_dedup_bert_base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 145 Bytes
0c14ddc | 1 2 3 4 5 6 | Started with bert-base-nli-stsb-mean-tokens Trained using sentence transformers Continue training of quora dataset See quora.py for script used |