Instructions to use SparseCL/BGE-SparseCL-arguana with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SparseCL/BGE-SparseCL-arguana with Transformers:
# Load model directly from transformers import AutoTokenizer, our_BertForCL tokenizer = AutoTokenizer.from_pretrained("SparseCL/BGE-SparseCL-arguana") model = our_BertForCL.from_pretrained("SparseCL/BGE-SparseCL-arguana") - Notebooks
- Google Colab
- Kaggle
File size: 71 Bytes
b2b9d89 | 1 2 3 4 | epoch = 3.0 train_runtime = 1724.6458 train_samples_per_second = 0.388 |