Instructions to use GeneZC/bert-large-stsb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GeneZC/bert-large-stsb with Transformers:
# Load model directly from transformers import AutoTokenizer, BertCls tokenizer = AutoTokenizer.from_pretrained("GeneZC/bert-large-stsb") model = BertCls.from_pretrained("GeneZC/bert-large-stsb") - Notebooks
- Google Colab
- Kaggle
| license: apache-2.0 | |
| datasets: | |
| - glue | |
| # Model Details | |
| `bert-large-uncased` finetuned on `STS-b`. | |
| ## Parameter settings | |
| batch size is 16, learning rate is 3e-5. | |
| ## Metrics | |
| pearson_corr: 0.9024, spearman_corr: 0.8986 |