Instructions to use akariasai/pes2o_contriever with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use akariasai/pes2o_contriever with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, Contriever tokenizer = AutoTokenizer.from_pretrained("akariasai/pes2o_contriever") model = Contriever.from_pretrained("akariasai/pes2o_contriever", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from akariasai/pes2o_contriever: direct link, hf CLI and curl.
- Browser
- Download file 436 MB
-
https://huggingface.co/akariasai/pes2o_contriever/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://akariasai/pes2o_contriever/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/akariasai/pes2o_contriever/resolve/main/pytorch_model.bin
436 MB
- Xet hash:
- 71fc662226ba3c319179f23298096a5117f715cc21c48519f04cdd9bd91f9b42
- Size of remote file:
- 436 MB
- SHA256:
- fb5226976e362e070ad5b3f6c5bd38ed03a770b7d349b9334e4db8d61cc5f8fa
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