Instructions to use SparseCL/UAE-SparseCL-msmarco with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SparseCL/UAE-SparseCL-msmarco with Transformers:
# Load model directly from transformers import AutoTokenizer, our_BertForCL tokenizer = AutoTokenizer.from_pretrained("SparseCL/UAE-SparseCL-msmarco") model = our_BertForCL.from_pretrained("SparseCL/UAE-SparseCL-msmarco", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d7c44d7682ddc3e25955c6b7edf51cabb0a81b16868da6dda5dacfc20a8b8bf3
- Size of remote file:
- 4.09 kB
- SHA256:
- c75826ea9909a0a1da915b57945b2ac824d2df1bdd26b878d467290b19542713
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