Instructions to use sadakmed/dpr-passage_encoder-spanish with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sadakmed/dpr-passage_encoder-spanish with Transformers:
# Load model directly from transformers import AutoTokenizer, HFBertEncoder tokenizer = AutoTokenizer.from_pretrained("sadakmed/dpr-passage_encoder-spanish") model = HFBertEncoder.from_pretrained("sadakmed/dpr-passage_encoder-spanish", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0bf32bcc8f657cf1af1cab2e9491ab950fa9ae1c15f3428285b8de8ad1224839
- Size of remote file:
- 439 MB
- SHA256:
- c002c327326e4f9a766836dfe170401676b9428bbbfbcb4b5b85cf5a03a9caa9
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