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
metadata
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