Instructions to use GeneZC/bert-base-mnlimm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GeneZC/bert-base-mnlimm with Transformers:
# Load model directly from transformers import AutoTokenizer, BertCls tokenizer = AutoTokenizer.from_pretrained("GeneZC/bert-base-mnlimm") model = BertCls.from_pretrained("GeneZC/bert-base-mnlimm") - Notebooks
- Google Colab
- Kaggle
metadata
license: apache-2.0
datasets:
- glue
Model Details
bert-base-uncased finetuned on MNLI-mm.
Parameter settings
batch size is 32, learning rate is 2e-5.
Metrics
acc: 0.8486